Created
February 10, 2025 19:49
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SDXL Attention stats logs
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| Image saved as 'generated_image.png'. | |
| Attention statistics per diffusion timestep: | |
| Timestep 1.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0027, min=0.0000, max=0.9492 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.8486 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.9780 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=1.0000 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9380 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.6533 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9160 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.7329 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0076, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.5493 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7710 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.6133 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9927 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.6792 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0074, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.7139 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9751 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.7710 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9609 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8096 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.7578 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7148 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.8110 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.8799 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.8828 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.8179 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.9048 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9507 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.8066 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9253 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0221, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8906 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.9658 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8711 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.9243 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8550 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9507 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6821 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.8589 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.9199 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8403 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.9229 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7500 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.9180 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9805 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.8408 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9453 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.7104 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0078, min=0.0000, max=0.9956 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.4543 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9790 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.7017 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9927 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.6924 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0077, min=0.0000, max=0.9673 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.8125 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9697 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.8794 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8462 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.7695 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9707 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.7529 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9355 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0415, min=0.0000, max=0.7271 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.9658 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0464, min=0.0000, max=0.8901 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9790 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.4946 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.8022 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.4351 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9023 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.6187 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9966 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0168, min=0.0000, max=0.6401 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9590 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.6538 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8335 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.4805 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8779 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.5518 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9180 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0186, min=0.0000, max=0.6055 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.9692 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.7871 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7402 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0436, min=0.0000, max=0.8975 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.9868 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.4065 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0163, min=0.0000, max=0.4871 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8438 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0156, min=0.0000, max=0.5957 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7920 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0157, min=0.0000, max=0.4382 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.9092 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0155, min=0.0000, max=0.3562 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8706 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0169, min=0.0000, max=0.4309 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8789 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.5396 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8188 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.8350 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.9106 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.7148 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.8965 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0364, min=0.0000, max=0.9160 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9980 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0238, min=0.0000, max=0.5083 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9302 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0166, min=0.0000, max=0.5557 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9404 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0152, min=0.0000, max=0.4302 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8628 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0179, min=0.0000, max=0.5464 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.9946 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.7593 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8521 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0214, min=0.0000, max=0.7852 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8833 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.7583 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.9360 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.8330 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8926 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.7632 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.7119 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.8721 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0029, min=0.0000, max=0.8267 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.6270 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0029, min=0.0000, max=0.9458 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.5674 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0027, min=0.0000, max=0.8916 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.9995 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.8657 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.8804 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0029, min=0.0000, max=0.9775 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.4807 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.8799 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=1.0000 | |
| Timestep 21.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.8936 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8623 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.9204 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=1.0000 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9404 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.6768 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9653 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.7251 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0085, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.5957 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.8813 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.7754 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.6929 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0080, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.7632 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.9526 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.8770 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9014 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.8623 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8955 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0442, min=0.0000, max=0.7798 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8579 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0433, min=0.0000, max=0.8335 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.8027 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0461, min=0.0000, max=0.9048 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7964 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.9243 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9443 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.8726 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8911 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.9702 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8911 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.9634 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8394 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.9282 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7954 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.9678 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7207 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.9028 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8643 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8110 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0272, min=0.0000, max=0.9570 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6968 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.9341 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9419 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.8613 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.9121 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.6992 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9912 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.4624 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9453 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.7407 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9946 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.6816 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9697 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.8228 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9722 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.8823 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8936 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.7480 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9297 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.7593 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9663 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.7256 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8901 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0451, min=0.0000, max=0.8828 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9487 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.4861 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9316 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.5229 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9370 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.7227 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9478 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0170, min=0.0000, max=0.6748 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.6543 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.9004 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.4998 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.9155 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.5454 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.9585 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.6431 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.9170 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.8247 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7305 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0449, min=0.0000, max=0.9165 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9771 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0186, min=0.0000, max=0.4434 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8403 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0169, min=0.0000, max=0.5415 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8408 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0158, min=0.0000, max=0.7021 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8169 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0161, min=0.0000, max=0.4829 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8799 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0158, min=0.0000, max=0.3906 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7959 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0170, min=0.0000, max=0.4814 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.5654 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8394 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.7988 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.9351 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7803 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.9316 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9995 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0241, min=0.0000, max=0.5415 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9814 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0169, min=0.0000, max=0.5718 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9722 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0157, min=0.0000, max=0.4541 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.9419 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.5767 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9985 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.8262 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8384 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.8003 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.9531 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.7944 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8604 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.8652 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9419 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.7812 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.8770 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.8784 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0028, min=0.0000, max=0.8311 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6450 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0027, min=0.0000, max=0.9194 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.5889 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9307 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.8462 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.7876 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8701 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9629 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.4717 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.8418 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=1.0000 | |
| Timestep 41.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.8457 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.8589 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.9043 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.9248 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9243 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.6943 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9644 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.7236 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0088, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0239, min=0.0000, max=0.6353 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8848 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.8125 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.7070 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0082, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.7764 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.9497 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.9287 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8691 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.9185 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.9575 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0452, min=0.0000, max=0.7998 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8906 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.8481 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.7114 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0476, min=0.0000, max=0.9126 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7715 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0448, min=0.0000, max=0.9302 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9404 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.8784 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9204 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.9404 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8945 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.9702 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8525 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.9316 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8853 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9702 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7017 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.9204 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8809 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7681 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.9609 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6606 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.9390 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9209 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.8740 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8633 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.7095 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0074, min=0.0000, max=0.9849 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.4578 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9419 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.7520 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9951 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.6812 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9863 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.8311 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9878 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.8833 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9346 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.7412 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9497 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.7559 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9604 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.7271 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8394 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0446, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9351 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.5269 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9277 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.5815 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9307 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.7476 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9204 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0172, min=0.0000, max=0.6621 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9521 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.6675 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8916 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.5161 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8384 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.5518 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.9136 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.6685 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8164 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.8389 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7314 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0453, min=0.0000, max=0.9224 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9385 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.4595 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.7930 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.5874 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8125 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0161, min=0.0000, max=0.7407 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8403 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0166, min=0.0000, max=0.5166 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7710 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0160, min=0.0000, max=0.4248 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6982 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0170, min=0.0000, max=0.5376 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8818 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.5869 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7979 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.8213 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8979 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.7915 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.8115 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0423, min=0.0000, max=0.9326 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9990 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.5820 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9854 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0171, min=0.0000, max=0.5649 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9839 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0159, min=0.0000, max=0.4612 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.9370 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.5894 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9980 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8560 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.8135 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.9785 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.7974 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8325 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.8696 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9644 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.7891 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.9038 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.8813 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0028, min=0.0000, max=0.8740 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.6592 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9067 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.6001 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9346 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.8262 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.7344 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8560 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9624 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.4758 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.7080 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.5527 | |
| Timestep 61.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.8491 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.8545 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.8828 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.8271 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9170 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7144 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9688 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.7368 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0089, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.6562 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8599 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.8276 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.7104 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0082, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.7803 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9585 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.9448 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9033 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.9443 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.9717 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0459, min=0.0000, max=0.8071 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.9033 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.8525 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.7266 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9233 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.7358 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0458, min=0.0000, max=0.9321 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9263 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.8799 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9238 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.9272 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9126 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.9751 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8301 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.9307 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9082 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.9795 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7910 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.9287 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8574 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7104 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.9609 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6421 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.9409 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9199 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0386, min=0.0000, max=0.8843 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8794 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.7173 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9766 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.4524 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9390 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.7676 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9941 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.6855 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9902 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8359 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9922 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0358, min=0.0000, max=0.8843 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9395 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7334 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9756 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.7529 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9492 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7212 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8862 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.8667 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9360 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.5630 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9277 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.6025 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9307 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.7485 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8716 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0174, min=0.0000, max=0.6782 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9395 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.7124 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8301 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0176, min=0.0000, max=0.5273 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7832 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.5610 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8359 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.6919 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7827 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.8511 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7056 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0456, min=0.0000, max=0.9248 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8286 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0191, min=0.0000, max=0.4617 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7295 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.5967 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.7603 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0164, min=0.0000, max=0.7656 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8433 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0169, min=0.0000, max=0.5386 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7056 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0163, min=0.0000, max=0.4475 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6699 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0171, min=0.0000, max=0.6226 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8408 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.5864 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7876 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.8516 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8696 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.7949 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6812 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0436, min=0.0000, max=0.9277 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9946 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.5918 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9858 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0173, min=0.0000, max=0.5469 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9849 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0161, min=0.0000, max=0.4624 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.9121 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0191, min=0.0000, max=0.5938 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9976 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.8677 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8848 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0236, min=0.0000, max=0.8179 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.9746 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.7979 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8989 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.8691 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9819 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.8062 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.9204 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.8818 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0027, min=0.0000, max=0.8950 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.6699 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.8706 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.6011 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9297 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.8110 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.7383 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8423 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9565 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.4785 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.7480 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.5430 | |
| Timestep 81.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.8389 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8511 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.8706 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.8418 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9097 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.7212 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9653 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.7339 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0090, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.6660 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8364 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.8315 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.7075 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0082, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.7827 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9629 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.9507 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8979 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.9595 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.9741 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0464, min=0.0000, max=0.8105 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.9019 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0455, min=0.0000, max=0.8535 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7388 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0494, min=0.0000, max=0.9360 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6904 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0465, min=0.0000, max=0.9336 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9258 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8970 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9243 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.9233 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9233 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.9800 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7837 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.9316 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.9043 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.9824 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8320 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.9487 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8208 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6489 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.9590 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6279 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.9434 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9111 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0391, min=0.0000, max=0.8901 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8789 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.7241 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9795 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.4619 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9351 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.7725 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9927 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.6899 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9907 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.8394 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9932 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.8892 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9448 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7324 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9727 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.7520 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9355 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7139 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8975 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0440, min=0.0000, max=0.8579 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9380 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.5757 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9248 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.6206 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9346 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.7490 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8247 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.7163 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9355 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.7432 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8325 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0177, min=0.0000, max=0.5278 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7847 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.5679 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8516 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.7153 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7656 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.8589 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7524 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0458, min=0.0000, max=0.9272 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8071 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.5039 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6587 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.5938 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7402 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0167, min=0.0000, max=0.7822 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8301 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0172, min=0.0000, max=0.5601 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6968 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0165, min=0.0000, max=0.4653 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6636 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0171, min=0.0000, max=0.6851 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7646 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.5747 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7749 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.8687 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8569 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.8052 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6831 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0447, min=0.0000, max=0.9199 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9570 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.5962 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9854 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0174, min=0.0000, max=0.5396 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9897 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0163, min=0.0000, max=0.4629 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8242 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.5947 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9790 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8716 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0239, min=0.0000, max=0.8188 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8916 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.8135 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8872 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.8672 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9624 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.8164 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9204 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.8818 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0027, min=0.0000, max=0.9131 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.6821 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.8198 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.6055 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9219 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8013 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.7607 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8315 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9380 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.4805 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.7554 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.6348 | |
| Timestep 101.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8633 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.8477 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.8770 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.8550 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9155 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.7173 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9653 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.7305 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0091, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.6685 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8374 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.8311 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.7583 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0081, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.7866 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9629 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.9541 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8833 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0375, min=0.0000, max=0.9692 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.9766 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0469, min=0.0000, max=0.8135 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.8721 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0459, min=0.0000, max=0.8579 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7207 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9419 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6440 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0471, min=0.0000, max=0.9351 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9229 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.9175 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9214 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.9253 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9302 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.9834 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7568 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.9370 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8809 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.9834 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8496 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.9653 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7832 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5552 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.9688 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6509 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.9448 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9023 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.8940 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.8838 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.7271 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0070, min=0.0000, max=0.9771 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.4763 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9224 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.7739 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9902 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.6924 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0070, min=0.0000, max=0.9878 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.8403 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9922 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.8896 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9419 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7231 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9678 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.7505 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9487 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7075 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8960 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0439, min=0.0000, max=0.8574 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9429 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.5684 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9219 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0183, min=0.0000, max=0.6255 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9434 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0190, min=0.0000, max=0.7764 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.7285 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0177, min=0.0000, max=0.7383 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9375 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.7622 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8237 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0178, min=0.0000, max=0.5249 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7441 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.5684 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8618 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.7339 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7339 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.8647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8110 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0461, min=0.0000, max=0.9302 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8110 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.5366 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6230 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.5859 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7432 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0170, min=0.0000, max=0.7939 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8052 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.5962 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6616 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0166, min=0.0000, max=0.4800 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6704 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0172, min=0.0000, max=0.7305 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7026 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0214, min=0.0000, max=0.5542 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7505 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.8804 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8467 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.8145 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6714 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0455, min=0.0000, max=0.9307 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9619 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.6055 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9839 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.5537 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9927 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0165, min=0.0000, max=0.4805 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7700 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.5952 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7178 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8550 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.8223 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7231 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.8433 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8530 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.8657 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7939 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0387, min=0.0000, max=0.8223 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9238 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.8818 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9272 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.6880 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.7485 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.6313 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9121 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.7949 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.7876 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8267 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9048 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.4805 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.7510 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.5322 | |
| Timestep 121.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8843 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.8481 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.8857 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.8657 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9175 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.7061 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9717 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.7310 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0092, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.6675 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8389 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.8276 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.8188 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0081, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.7930 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9590 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8696 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.9795 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0473, min=0.0000, max=0.8174 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.8101 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0463, min=0.0000, max=0.8608 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.6807 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.9443 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6401 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0477, min=0.0000, max=0.9365 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9199 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.9287 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9175 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.9297 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9326 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7202 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.9438 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8345 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.9839 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8594 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.9727 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7710 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5444 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.9805 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6919 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9453 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8950 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.8970 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9048 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.7275 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0069, min=0.0000, max=0.9717 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.4883 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9194 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0251, min=0.0000, max=0.7754 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9873 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.6934 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0069, min=0.0000, max=0.9800 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.8364 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9907 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.8867 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9087 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7192 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9653 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.7485 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9585 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7021 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8926 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0437, min=0.0000, max=0.8574 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9448 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.5483 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.9155 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.6255 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9458 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0191, min=0.0000, max=0.8105 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.6924 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0178, min=0.0000, max=0.7573 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9351 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.7754 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7832 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0179, min=0.0000, max=0.5190 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7222 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.5664 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8691 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.7476 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7358 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8687 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7993 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0463, min=0.0000, max=0.9370 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8081 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.5635 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.5918 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.5718 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.7446 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0173, min=0.0000, max=0.8047 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7705 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0178, min=0.0000, max=0.6489 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6387 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0168, min=0.0000, max=0.4988 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6548 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0174, min=0.0000, max=0.7710 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6377 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0217, min=0.0000, max=0.5479 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7168 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.8872 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8638 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.8218 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6748 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0463, min=0.0000, max=0.9385 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9648 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.6167 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9819 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0177, min=0.0000, max=0.5625 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9941 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0166, min=0.0000, max=0.4890 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7734 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.6050 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7329 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.8853 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8301 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8184 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7202 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.8633 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8198 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.8706 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.7065 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.8320 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9214 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.8838 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0026, min=0.0000, max=0.9385 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.6914 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.6670 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6812 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.8916 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.7954 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.8076 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8198 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8936 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.4829 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.7485 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.5435 | |
| Timestep 141.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8926 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0251, min=0.0000, max=0.8496 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.8916 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8735 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9165 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.6909 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9751 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.7314 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0092, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.6646 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8276 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.8252 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.8604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0080, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8018 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9473 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0350, min=0.0000, max=0.9551 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8579 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.9775 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.9829 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0476, min=0.0000, max=0.8208 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7715 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0466, min=0.0000, max=0.8623 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.6226 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0510, min=0.0000, max=0.9448 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.6348 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0482, min=0.0000, max=0.9375 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9116 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.9355 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9126 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.9321 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9326 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6768 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.9487 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7593 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.9839 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.8594 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.9722 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7368 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5288 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7114 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9458 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8887 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.8989 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9146 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.7261 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9653 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.4944 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9185 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0251, min=0.0000, max=0.7769 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9829 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.6924 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9604 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.8276 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9888 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.8813 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8945 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7163 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9614 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.7456 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9648 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7002 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8892 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0436, min=0.0000, max=0.8560 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9414 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.5215 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.9048 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.6270 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9399 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.8438 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.6821 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.7773 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9341 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0208, min=0.0000, max=0.7861 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7163 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.5103 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7427 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.5679 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8696 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.7578 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7139 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.8701 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8291 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0465, min=0.0000, max=0.9390 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.8071 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.5864 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.5645 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.5928 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.7393 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0176, min=0.0000, max=0.8159 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7305 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.6938 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5845 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0171, min=0.0000, max=0.5278 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6221 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.8105 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6377 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.5498 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6733 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8975 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0353, min=0.0000, max=0.8330 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6831 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0470, min=0.0000, max=0.9453 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9658 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.6196 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9805 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0178, min=0.0000, max=0.5674 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9937 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0168, min=0.0000, max=0.4951 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7646 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.6201 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7432 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.8892 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8062 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.8223 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6938 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.8774 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7759 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.8750 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6948 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.8564 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9155 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.8867 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9463 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.6992 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.6143 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.7158 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.8613 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.8022 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8242 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8208 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8755 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.4863 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.7358 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.5522 | |
| Timestep 161.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8916 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.8516 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.8950 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8799 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9126 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.6743 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9766 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.7373 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0092, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.6606 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8091 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.8286 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0074, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8877 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0080, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.8115 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9233 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0353, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8501 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9795 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.9858 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0479, min=0.0000, max=0.8237 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7656 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0470, min=0.0000, max=0.8623 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5742 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0514, min=0.0000, max=0.9487 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.6250 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9399 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9028 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.9404 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9058 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.9277 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9312 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6343 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.9526 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6597 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.9844 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.8462 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.9688 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7212 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4944 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7227 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9463 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8838 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0407, min=0.0000, max=0.9019 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9189 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.7241 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9585 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.4985 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.9180 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.7798 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9819 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.6904 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9414 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.8154 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9858 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.8755 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8198 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7188 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9556 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.7427 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9668 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.7012 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8843 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.9321 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.4944 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.8901 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0186, min=0.0000, max=0.6323 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9219 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.8232 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.6841 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.7949 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9346 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.7939 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6538 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.4990 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7261 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.5693 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.7637 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6895 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.8687 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8438 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0467, min=0.0000, max=0.9404 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8042 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.6055 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.5400 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.6079 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7349 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0179, min=0.0000, max=0.8262 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6846 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.7280 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5498 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0173, min=0.0000, max=0.5581 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5645 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0177, min=0.0000, max=0.8516 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6440 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.5513 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6274 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.9062 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8833 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.8560 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6885 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0476, min=0.0000, max=0.9517 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9648 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.6309 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9800 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0179, min=0.0000, max=0.5698 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9932 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0169, min=0.0000, max=0.4988 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7524 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.6328 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7393 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.8936 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7793 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.8311 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6533 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.8877 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7627 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.8789 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6816 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0391, min=0.0000, max=0.8726 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9082 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.8911 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9512 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7026 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.5962 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.7393 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.8364 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.8101 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8340 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8218 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8467 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.4895 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.7393 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.5552 | |
| Timestep 181.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8828 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.8516 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.8955 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8843 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9082 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.6724 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9771 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.7383 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0092, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.6567 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7842 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8301 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0074, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.9062 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0079, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.8213 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9194 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8413 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0393, min=0.0000, max=0.9810 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0482, min=0.0000, max=0.8252 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7627 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0472, min=0.0000, max=0.8618 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5977 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0518, min=0.0000, max=0.9517 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.6719 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0489, min=0.0000, max=0.9434 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8901 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.9438 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8945 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.9287 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9268 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6006 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.9556 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5625 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.8237 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.9639 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7080 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7778 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9473 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8770 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.9043 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9199 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.7217 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9507 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.5005 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.9170 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.7856 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9824 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.6860 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9253 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.8013 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9810 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0364, min=0.0000, max=0.8701 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7412 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7202 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9438 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.7402 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9668 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7075 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.8760 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.8579 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.9204 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.4734 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8716 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0187, min=0.0000, max=0.6387 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8872 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.7627 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.6772 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.8091 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9341 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.8003 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6641 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.4871 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7158 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.5684 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8579 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.7666 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6562 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.8647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8452 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0469, min=0.0000, max=0.9399 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8042 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.6226 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.5142 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.6177 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7319 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.8359 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6333 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.7559 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5352 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0176, min=0.0000, max=0.5806 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5278 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0179, min=0.0000, max=0.8594 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6440 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.5620 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5776 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9116 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8843 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.8740 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6865 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0481, min=0.0000, max=0.9570 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0070, min=0.0000, max=0.9614 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.6021 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9790 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.5962 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9922 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0171, min=0.0000, max=0.5049 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7534 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0207, min=0.0000, max=0.6426 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6963 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.8970 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7568 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.8389 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6509 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7500 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.6753 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.8804 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9009 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.8950 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9536 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.7070 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.5752 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7544 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.8364 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.8179 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8394 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8179 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8086 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.4927 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.7373 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.5537 | |
| Timestep 201.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.8633 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.8511 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8926 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8887 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.9053 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.6719 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.9766 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.7363 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0092, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.6582 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.7559 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.8408 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.9189 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0078, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.8301 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9219 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8315 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.9819 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.9902 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0484, min=0.0000, max=0.8252 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.8076 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0475, min=0.0000, max=0.8604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6157 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0521, min=0.0000, max=0.9536 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6143 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.9468 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8721 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.9473 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8730 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.9355 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9175 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6030 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.9585 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5913 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.9854 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7939 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.9624 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7090 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.9917 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8159 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.9478 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8735 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0415, min=0.0000, max=0.9062 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9175 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.7188 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9507 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.5361 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9175 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.7910 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9810 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.6812 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9062 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.7979 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9731 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0366, min=0.0000, max=0.8657 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7246 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.7192 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9199 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.7432 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9653 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7119 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.8594 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.8628 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9106 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.4719 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8652 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.6440 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8589 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.7144 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.6631 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0187, min=0.0000, max=0.8228 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9297 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.8027 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6938 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.4783 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6904 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.5659 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8477 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0230, min=0.0000, max=0.7671 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6196 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.8589 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8345 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0471, min=0.0000, max=0.9370 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8037 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.6387 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.5078 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.6221 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7344 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.8467 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5996 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5591 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0178, min=0.0000, max=0.5981 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5107 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.8691 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6411 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.5869 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5391 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.9165 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8779 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0371, min=0.0000, max=0.8892 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6865 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9609 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0070, min=0.0000, max=0.9561 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.5654 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9766 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.6084 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9893 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0172, min=0.0000, max=0.5210 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7568 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.6567 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7231 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.8999 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7393 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.8438 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6401 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.9009 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7295 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8853 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.6685 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0393, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.8955 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.8979 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0025, min=0.0000, max=0.9536 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7085 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.5488 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7656 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.8218 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.8218 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8433 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8081 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.7861 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.4954 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.7246 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.5483 | |
| Timestep 221.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.8330 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.8496 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8862 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8916 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.9004 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.6792 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.9751 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.7305 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0092, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.6641 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.7241 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.8491 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.9272 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0077, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.8374 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9204 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.9536 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8188 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0401, min=0.0000, max=0.9834 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.9902 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.8242 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.8633 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0477, min=0.0000, max=0.8594 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6201 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0524, min=0.0000, max=0.9541 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6128 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.9492 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8823 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.9497 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8550 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.9409 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9028 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.9897 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6040 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.9609 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6562 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.9858 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7505 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.9629 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7397 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4912 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.9927 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.8276 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0402, min=0.0000, max=0.9482 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8682 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0418, min=0.0000, max=0.9067 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9116 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.7163 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9492 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.5713 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.9150 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.7959 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9766 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.6851 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9097 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.7974 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9653 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0367, min=0.0000, max=0.8691 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.7036 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.7158 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8701 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0358, min=0.0000, max=0.7446 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.9629 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7124 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.8296 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.8633 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9028 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.4851 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8540 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0190, min=0.0000, max=0.6440 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8550 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.6738 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.6909 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.8267 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9199 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0218, min=0.0000, max=0.8066 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7100 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0186, min=0.0000, max=0.4583 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6431 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.5635 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8364 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0234, min=0.0000, max=0.7656 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5972 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.8540 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8110 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0474, min=0.0000, max=0.9360 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8057 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.6553 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.5127 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.6196 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7354 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.8574 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5415 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.7871 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5576 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.6113 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5044 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.8770 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6367 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0230, min=0.0000, max=0.6094 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5361 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.9214 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8643 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0377, min=0.0000, max=0.9028 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6865 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.9644 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0069, min=0.0000, max=0.9473 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.5664 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9746 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0183, min=0.0000, max=0.6211 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9844 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0173, min=0.0000, max=0.5444 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7554 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.6909 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7539 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.9023 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7246 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.8506 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.5986 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.9053 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7012 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8872 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.6753 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0394, min=0.0000, max=0.8804 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8911 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.8999 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9541 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7056 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.5527 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7710 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.8169 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.8228 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8408 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7930 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.7803 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.4983 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.7007 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.5488 | |
| Timestep 241.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.8145 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8472 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.8774 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8936 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.9038 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.6860 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.9727 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.7217 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0091, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.6772 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.7046 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.8530 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9336 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0076, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.8423 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9165 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0364, min=0.0000, max=0.9521 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8008 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.9844 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0489, min=0.0000, max=0.8228 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.8940 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0479, min=0.0000, max=0.8579 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6162 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0526, min=0.0000, max=0.9541 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6392 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0497, min=0.0000, max=0.9517 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8916 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.9507 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8389 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0272, min=0.0000, max=0.9453 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8877 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.9897 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6309 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.9629 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7100 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0353, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7046 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.9609 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7534 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.8096 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.9487 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8672 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0421, min=0.0000, max=0.9072 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9058 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.7124 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9443 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.5996 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9146 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.8003 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9688 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.6880 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9189 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.7964 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.9692 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0367, min=0.0000, max=0.8750 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6938 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.7104 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8447 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.7451 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.9590 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7095 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7734 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.8628 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8979 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.5664 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.8491 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.6392 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8521 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.6470 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.6958 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.8315 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.9019 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0220, min=0.0000, max=0.8115 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7192 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.4583 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6084 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.5601 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8193 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.7720 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5947 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.8560 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7749 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0476, min=0.0000, max=0.9375 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8022 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.6680 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.5166 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.6147 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.8647 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5283 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.7925 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5889 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.6221 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5005 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0187, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6274 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.6289 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5303 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.9346 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8428 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0382, min=0.0000, max=0.9136 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6821 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.9663 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0069, min=0.0000, max=0.9326 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.5659 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9722 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.6294 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9751 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.5620 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7412 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.7168 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7734 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.9048 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7139 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.8540 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.5396 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.9092 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6523 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.8887 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.6885 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.8794 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8862 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.9004 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9536 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7012 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.5630 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7744 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.8164 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.8232 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8345 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.7725 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.7759 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.5010 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.6753 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.5576 | |
| Timestep 261.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.8438 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.8438 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.8643 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8950 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.9136 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.6919 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.9688 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.7070 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0091, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.6943 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6973 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.8535 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.9385 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.8438 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9087 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0367, min=0.0000, max=0.9502 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7905 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0407, min=0.0000, max=0.9858 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.8208 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.9111 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0481, min=0.0000, max=0.8569 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5996 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0528, min=0.0000, max=0.9536 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6685 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0498, min=0.0000, max=0.9531 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8975 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.9526 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8232 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.9492 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8721 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.9897 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6831 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.9639 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7500 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6387 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.9614 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7554 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4751 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7363 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9482 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8638 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0424, min=0.0000, max=0.9067 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8975 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.7070 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9268 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.6235 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9116 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8110 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.9541 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.6909 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9185 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.7993 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.9604 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.8809 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.6865 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.7051 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8408 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.7456 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.9531 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7036 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6748 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.8604 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8901 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.6426 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8423 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.6475 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8706 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.6514 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6890 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.8345 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.8218 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7207 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.4609 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5742 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.5557 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7891 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.7759 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5508 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.8569 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7354 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0478, min=0.0000, max=0.9375 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.7939 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.6772 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.5186 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.6294 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7974 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.8706 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5039 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.7964 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6162 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0187, min=0.0000, max=0.6362 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4980 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.8838 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6196 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.6426 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5229 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.9429 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8101 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9233 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6719 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9683 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9336 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0251, min=0.0000, max=0.5742 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.6357 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9561 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0175, min=0.0000, max=0.5737 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7168 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.7358 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7808 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.9141 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7031 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.8545 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5171 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9111 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6343 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.6978 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0396, min=0.0000, max=0.8794 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.8984 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9521 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.6953 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.5625 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.7734 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.8135 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.8208 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8232 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.7441 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.7754 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.5059 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.6558 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.5679 | |
| Timestep 281.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.8652 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0241, min=0.0000, max=0.8398 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.8472 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8960 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.9199 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.6978 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.9644 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6968 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0090, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.7090 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6895 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.8481 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0070, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.9414 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0074, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.8418 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8979 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.9473 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8018 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9839 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.8188 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.9209 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0483, min=0.0000, max=0.8560 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5620 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0530, min=0.0000, max=0.9541 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6846 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9009 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.9541 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8062 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.9541 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8540 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.9897 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7349 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.9648 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7729 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5591 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.9634 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7412 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.9839 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4834 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5796 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.9478 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8574 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0428, min=0.0000, max=0.9087 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8901 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.7065 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.8916 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.6421 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9072 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.8179 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.9453 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.6934 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9131 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.8022 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9224 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.8862 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.6880 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.6997 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8330 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.7466 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.9453 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7026 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6562 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.8613 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.7031 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8345 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.6577 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8818 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.6587 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.6699 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.8354 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8442 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.8281 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7134 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0190, min=0.0000, max=0.4644 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5615 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.5513 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7598 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.7783 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4919 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.8574 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6719 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0479, min=0.0000, max=0.9395 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.7778 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.6860 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.5034 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.6543 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8062 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.8735 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4895 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.7988 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6313 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0190, min=0.0000, max=0.6553 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4871 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.8843 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6069 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0238, min=0.0000, max=0.6538 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5098 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.9453 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7715 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9312 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6372 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0503, min=0.0000, max=0.9688 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9370 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.5879 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9624 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.6431 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0176, min=0.0000, max=0.5820 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7334 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.7495 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7681 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.9219 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6855 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5376 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.9121 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6602 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7085 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.8799 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8789 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.8945 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0024, min=0.0000, max=0.9541 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.6899 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.5493 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.7681 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.8086 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.8164 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.8066 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.7471 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.7754 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.5137 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.6313 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.5796 | |
| Timestep 301.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.8755 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0239, min=0.0000, max=0.8340 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.8242 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.8965 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.9238 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.7026 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.9580 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6865 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0090, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.7207 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6753 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.8511 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0069, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.9434 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.8354 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8823 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.9453 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7983 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.9800 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.8188 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.9263 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0484, min=0.0000, max=0.8574 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5166 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0531, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.6909 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0501, min=0.0000, max=0.9551 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9014 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7891 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.9580 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8442 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9897 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7695 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.9653 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7700 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4565 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.9644 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7207 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.9844 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5200 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0375, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5493 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0418, min=0.0000, max=0.9473 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8477 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0431, min=0.0000, max=0.9087 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8818 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.7090 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.8740 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.6562 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9019 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.8223 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9419 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.6958 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.8979 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.8047 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.9302 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.8896 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7051 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.6943 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8159 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.7485 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.9355 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7021 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6343 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0433, min=0.0000, max=0.8638 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.8726 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.7485 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8242 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.6636 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8701 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.6562 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.6118 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.8364 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8071 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0228, min=0.0000, max=0.8286 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6958 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.4780 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6221 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.5469 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7373 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.7837 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4761 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.8584 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6001 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0481, min=0.0000, max=0.9404 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.7598 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0217, min=0.0000, max=0.6943 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.4907 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.6763 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8052 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.8740 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4941 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.8003 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6265 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.6787 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4829 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6011 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.6655 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4978 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.9478 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7188 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.9375 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5625 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9692 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9448 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.5977 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9570 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0186, min=0.0000, max=0.6509 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0177, min=0.0000, max=0.5898 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7388 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.7622 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7324 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.9272 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6592 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.8599 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5503 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.9116 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6611 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7104 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8784 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.8892 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9561 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.6851 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.5273 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.7588 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8018 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.8130 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.7808 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.7524 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.7749 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.5200 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.6309 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.5913 | |
| Timestep 321.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.8784 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0238, min=0.0000, max=0.8345 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.7983 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.8955 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.9229 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.7056 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.9507 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6743 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0089, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.7310 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6743 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.8535 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.9443 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.8237 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8701 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0374, min=0.0000, max=0.9458 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7852 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0416, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.9736 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.8208 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.9268 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.8608 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5308 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0533, min=0.0000, max=0.9551 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.6821 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.9551 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9019 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.9590 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7739 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.9595 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8481 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7754 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.9658 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7393 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3564 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9648 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7002 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5029 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5181 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0422, min=0.0000, max=0.9497 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8369 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.9062 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8740 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.7188 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.8735 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.6685 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8955 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.8252 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.9438 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.6987 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.8843 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.8071 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9229 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.8921 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7173 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.6885 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7959 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.7524 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.9229 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7007 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6382 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0433, min=0.0000, max=0.8647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8633 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.7798 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8154 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.6675 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8481 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.6592 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.6484 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.8350 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7534 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0230, min=0.0000, max=0.8247 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6816 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.4910 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6987 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0207, min=0.0000, max=0.5420 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6582 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.7969 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4670 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8589 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5635 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0483, min=0.0000, max=0.9414 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.7383 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.7026 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.4980 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0228, min=0.0000, max=0.6958 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7964 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.8721 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4961 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.7983 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6089 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.7012 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4888 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.8818 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5898 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.6807 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4790 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.9502 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6504 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0401, min=0.0000, max=0.9414 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4390 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0510, min=0.0000, max=0.9688 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9561 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.6064 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9463 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0187, min=0.0000, max=0.6582 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8730 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0178, min=0.0000, max=0.5938 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7358 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0217, min=0.0000, max=0.7695 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6509 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.9297 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6167 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.8677 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5527 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.9102 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6411 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7114 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0398, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8789 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0494, min=0.0000, max=0.8872 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9526 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.6943 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.5166 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.7466 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.7920 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.8037 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.7471 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.7568 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.7651 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.5254 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.6235 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.6025 | |
| Timestep 341.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.8745 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.8350 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.7700 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.8940 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.9165 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.7080 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.9424 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6753 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0089, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.7388 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6729 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.8555 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.9434 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.8066 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8447 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0376, min=0.0000, max=0.9463 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7544 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0418, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.9629 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0498, min=0.0000, max=0.8242 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.9209 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.8638 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5352 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0534, min=0.0000, max=0.9551 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.6562 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0503, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9028 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.9609 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7563 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9614 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8608 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7559 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.9658 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6841 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0371, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3276 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.9688 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6938 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.9897 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4404 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0384, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4692 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0426, min=0.0000, max=0.9590 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8208 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0437, min=0.0000, max=0.9019 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8687 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.7300 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8716 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.6753 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8872 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.8281 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9453 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.7075 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.8721 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.8110 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8984 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0371, min=0.0000, max=0.8936 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7183 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.6816 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7734 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.7573 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.9067 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.6987 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6318 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.8662 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.8052 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8057 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.6689 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8213 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0207, min=0.0000, max=0.6611 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7031 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.8330 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6855 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.8247 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6606 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.5127 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6807 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.5376 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6143 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.8081 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4780 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.8608 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5474 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0485, min=0.0000, max=0.9453 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.7148 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0221, min=0.0000, max=0.7095 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5000 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.7129 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7783 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0208, min=0.0000, max=0.8755 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4917 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.7959 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5732 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.7222 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4912 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.8799 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5752 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.6973 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4622 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.9531 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5669 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.9448 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3789 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0512, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9595 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.6260 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9336 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.6636 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8638 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0179, min=0.0000, max=0.5977 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7334 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0218, min=0.0000, max=0.7749 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6299 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.9316 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5625 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5459 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.9082 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6216 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.8975 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7056 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0398, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8784 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0494, min=0.0000, max=0.8877 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0023, min=0.0000, max=0.9434 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.7026 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.5386 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.7329 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.7798 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.7891 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.7026 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.7593 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.7529 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.5298 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.6133 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6133 | |
| Timestep 361.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.8638 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0236, min=0.0000, max=0.8354 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.7344 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.8921 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.9082 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.7061 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.9312 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6792 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0088, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.7451 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6626 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.8584 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.9409 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0069, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.7842 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8018 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9458 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7646 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0421, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.9414 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.8276 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.9062 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0489, min=0.0000, max=0.8657 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5366 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0535, min=0.0000, max=0.9556 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.6230 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0504, min=0.0000, max=0.9536 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9028 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.9634 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7407 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9619 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8770 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7202 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0375, min=0.0000, max=0.9653 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6270 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0373, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3188 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.9712 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7046 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4475 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.3972 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.9668 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7959 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0440, min=0.0000, max=0.9038 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8633 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.7393 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8696 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.6792 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8750 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.8296 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9468 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.7178 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0056, min=0.0000, max=0.8721 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.8135 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.8535 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.8940 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7236 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6812 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7632 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.7617 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.9014 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7002 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6011 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.8682 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8394 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.8237 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.7915 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.6699 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7856 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0208, min=0.0000, max=0.6621 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7212 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.8311 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6338 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.8325 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6299 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.5312 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6904 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.5356 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5747 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8164 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4973 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.8647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5317 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9468 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.6914 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.7168 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4873 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0234, min=0.0000, max=0.7285 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7554 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.8843 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4780 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.7905 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5146 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.7417 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4893 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5518 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.7139 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4375 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.9561 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6724 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9487 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3735 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0515, min=0.0000, max=0.9668 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9541 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.6450 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9141 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.6685 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8623 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0179, min=0.0000, max=0.5947 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7295 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.7754 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6479 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.9307 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5034 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.8848 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5493 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.9053 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7080 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.9019 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6968 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8784 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0494, min=0.0000, max=0.8882 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.9277 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.7061 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.5537 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.7178 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.7627 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.7695 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.6787 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.7603 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.7432 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.5332 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.6064 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6216 | |
| Timestep 381.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.8481 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.8350 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.6987 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.8896 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.9209 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.7007 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.9185 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6802 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0087, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.7510 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6460 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.8662 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.9360 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.7676 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8096 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.9453 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7803 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0423, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.8960 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0501, min=0.0000, max=0.8301 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.8779 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0490, min=0.0000, max=0.8672 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5259 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0537, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.5508 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.9531 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8970 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.9653 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7246 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9634 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8940 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6797 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9653 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5654 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0376, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3059 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.9736 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7236 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4446 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3735 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.9722 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7637 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.9058 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8569 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.7480 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.8647 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.6826 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8574 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.8315 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9458 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.7271 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8730 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.8140 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8374 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0373, min=0.0000, max=0.8936 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7212 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6826 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7515 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.7651 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8965 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7046 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6143 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.8691 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8267 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.8374 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.6763 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7593 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.6636 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7007 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0208, min=0.0000, max=0.8286 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6206 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.8398 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6128 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.5469 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6733 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.5498 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5220 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.8198 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5093 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8696 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5283 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0488, min=0.0000, max=0.9478 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.6694 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.7324 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4675 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.7456 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7256 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4624 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.7866 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4934 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0207, min=0.0000, max=0.7598 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4800 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0208, min=0.0000, max=0.9038 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5195 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.7285 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4111 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0366, min=0.0000, max=0.9595 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.8071 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0414, min=0.0000, max=0.9517 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3604 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0517, min=0.0000, max=0.9668 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9482 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.6592 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8745 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.6699 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8594 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.5889 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7100 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0220, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6641 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0251, min=0.0000, max=0.9287 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.4949 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.8892 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5327 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.9014 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.8335 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.8955 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6797 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0494, min=0.0000, max=0.8882 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8979 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.7080 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.5752 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.7065 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.7397 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.7598 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.6733 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.7598 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.7310 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.5371 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.5947 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6270 | |
| Timestep 401.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.8276 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0234, min=0.0000, max=0.8335 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.6548 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.8872 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.9292 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.6924 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.9014 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6787 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0086, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.7563 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6230 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8716 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.9292 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.7793 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8159 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9468 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7886 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0426, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.8032 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0503, min=0.0000, max=0.8315 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.8145 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.8672 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4922 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0538, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.4753 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.9521 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8853 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.9663 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7075 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9644 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.9062 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6338 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0382, min=0.0000, max=0.9663 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5024 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.2891 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7271 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0366, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4314 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0396, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3975 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0438, min=0.0000, max=0.9756 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7241 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0446, min=0.0000, max=0.9111 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8481 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.7554 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8550 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.6816 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8359 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8330 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9429 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.7334 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.8809 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.8135 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8271 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0374, min=0.0000, max=0.8926 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7041 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6812 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7329 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.7661 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8677 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7080 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6309 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0431, min=0.0000, max=0.8691 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8120 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.8442 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.7554 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.6865 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7285 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.6626 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6553 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.8252 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6162 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.8457 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5864 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.5605 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7090 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.5625 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.4670 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.8164 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5093 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.8730 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5420 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0490, min=0.0000, max=0.9512 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.6606 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.7441 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.4402 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0239, min=0.0000, max=0.7588 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6870 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.8984 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4521 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.7783 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4937 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.7734 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4656 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.9102 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4844 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.7397 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3940 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.9614 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0418, min=0.0000, max=0.9536 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3882 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0519, min=0.0000, max=0.9663 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9409 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.6709 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8242 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.6680 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8574 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.5942 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6646 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0220, min=0.0000, max=0.7671 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6748 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.9297 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4778 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5474 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.8970 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.9277 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8872 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6626 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.8818 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8750 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.8877 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0022, min=0.0000, max=0.8433 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.7100 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.5894 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.7026 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.7134 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.7617 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.6597 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.7568 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.7236 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.5400 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.5854 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.6294 | |
| Timestep 421.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.7983 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.8320 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.6143 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.8843 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.9326 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.6782 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.9033 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6763 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0086, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.7612 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6118 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.8779 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.9214 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9795 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.7896 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8237 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.9517 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7920 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0428, min=0.0000, max=0.9917 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7236 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.8330 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.7769 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.8662 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4277 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0540, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.4116 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0506, min=0.0000, max=0.9507 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8701 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.9663 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6963 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9663 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.9160 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5913 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.9673 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4426 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3066 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.9751 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7271 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4487 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4094 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.9780 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6792 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.9150 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8320 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.7603 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8389 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.6816 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8174 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.8340 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9331 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.7402 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8906 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.8184 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8257 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0374, min=0.0000, max=0.8916 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6733 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6772 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7202 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.7705 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8169 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7095 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6353 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0431, min=0.0000, max=0.8691 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8091 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.8467 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.7261 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0203, min=0.0000, max=0.6987 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6938 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.6646 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6426 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.8203 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6196 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.8521 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5522 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.5713 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7324 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0214, min=0.0000, max=0.5732 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.4236 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.8271 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4983 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.8770 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5508 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.9551 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6299 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.7554 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.4250 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.7710 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6460 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.9028 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4312 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.7695 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4802 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0214, min=0.0000, max=0.7856 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4453 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.9082 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4771 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.7466 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4041 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0373, min=0.0000, max=0.9634 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9038 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0422, min=0.0000, max=0.9551 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3948 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0521, min=0.0000, max=0.9663 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9321 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.6802 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.7935 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0189, min=0.0000, max=0.6709 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8560 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.6094 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5952 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0221, min=0.0000, max=0.7773 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6797 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.9380 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4731 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5522 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.8906 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.9644 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8892 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6484 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8716 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.8877 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.7505 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.7070 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.5967 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.6953 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.6851 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7622 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.6377 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.7524 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.7124 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.5430 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5757 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.6279 | |
| Timestep 441.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.7656 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.8306 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5669 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8804 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.9336 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.6606 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.9131 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6714 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0085, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.7646 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6021 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.8828 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.9131 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9756 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.7998 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8364 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0387, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7881 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0431, min=0.0000, max=0.9927 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7129 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0506, min=0.0000, max=0.8330 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7344 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.8643 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3364 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0541, min=0.0000, max=0.9570 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3789 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9497 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8633 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.9648 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6821 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9673 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.9214 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9883 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5522 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9683 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.3994 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0382, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.3579 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.9761 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7246 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0373, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4365 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4229 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0447, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6289 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0454, min=0.0000, max=0.9170 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8076 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.7627 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8135 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.6802 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8262 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.8350 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9170 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7446 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8945 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.8271 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8257 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0375, min=0.0000, max=0.8911 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6475 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6719 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7422 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.7739 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7822 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7085 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6289 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.8701 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8223 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0207, min=0.0000, max=0.8477 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.6821 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.7090 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6553 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.6665 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5884 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0217, min=0.0000, max=0.8154 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6460 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.8613 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5054 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.5801 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7505 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.5781 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.3826 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.8506 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5176 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.8794 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5522 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0494, min=0.0000, max=0.9585 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.5757 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.7656 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4133 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.7837 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6006 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.9058 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4058 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.7632 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4529 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0218, min=0.0000, max=0.7954 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4199 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4692 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.7515 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4246 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0377, min=0.0000, max=0.9653 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8848 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0427, min=0.0000, max=0.9556 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3674 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0523, min=0.0000, max=0.9673 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9219 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.6885 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.7524 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0190, min=0.0000, max=0.6802 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8530 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.6177 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5664 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.7920 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6812 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.9424 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5029 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0272, min=0.0000, max=0.8862 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5474 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8838 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.9565 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.8916 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6279 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0400, min=0.0000, max=0.8838 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.8652 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.8882 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.6797 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.6992 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.5967 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.6870 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.6934 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7617 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.6289 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.7471 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.6992 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.5454 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5630 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.6221 | |
| Timestep 461.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.7681 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0230, min=0.0000, max=0.8281 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5234 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.8770 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.9292 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.6396 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.9194 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.6665 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0084, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.7690 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6001 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.8853 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.9028 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9692 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.8091 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8384 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7783 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7148 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.8325 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.6587 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0497, min=0.0000, max=0.8662 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2766 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0542, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3738 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9487 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8521 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.9634 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6621 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9683 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.9214 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.9883 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5454 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9692 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3882 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0384, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.3999 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.9805 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7217 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0376, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4141 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4417 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0452, min=0.0000, max=0.9785 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5801 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0458, min=0.0000, max=0.9170 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.7710 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7627 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.7725 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0200, min=0.0000, max=0.6748 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8237 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.8364 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9028 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7476 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8926 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.8359 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8213 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0376, min=0.0000, max=0.8940 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6396 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6650 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7510 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.7764 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7710 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7109 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6084 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.8696 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8301 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0208, min=0.0000, max=0.8462 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.6362 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0207, min=0.0000, max=0.7153 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6196 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.6685 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5103 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0220, min=0.0000, max=0.8242 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6582 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.8711 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4597 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.5859 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7622 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0218, min=0.0000, max=0.5767 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.3647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.8682 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5181 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5381 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.9614 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.5518 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.7739 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.3962 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.7964 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5557 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.9067 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4077 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.7759 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4180 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.8003 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3945 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.8618 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4626 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.7612 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4529 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.9668 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.8105 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0431, min=0.0000, max=0.9541 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3247 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0524, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9077 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.6934 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7480 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0190, min=0.0000, max=0.6958 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0180, min=0.0000, max=0.6143 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5923 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.7964 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6729 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.9404 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5718 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.8833 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5405 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.8760 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.9175 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.8931 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6011 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0401, min=0.0000, max=0.8867 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.8579 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0495, min=0.0000, max=0.8877 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0021, min=0.0000, max=0.7173 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.6870 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.5942 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.6777 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.6899 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7598 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.6294 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7402 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.7065 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.5474 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5474 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.6133 | |
| Timestep 481.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.7705 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.8257 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.4832 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.8711 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.9214 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.6123 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.9263 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6641 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0083, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.7734 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6138 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.8887 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.8950 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9653 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.8179 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8252 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9639 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7627 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7173 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0509, min=0.0000, max=0.8306 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.6523 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0498, min=0.0000, max=0.8682 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2769 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0543, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3840 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9473 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8384 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.9673 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6289 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.9683 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.9199 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5386 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.9702 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3752 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.9858 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4121 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0358, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6943 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4141 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0415, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4580 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0457, min=0.0000, max=0.9775 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5356 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0462, min=0.0000, max=0.9150 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7217 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7612 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.7451 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0201, min=0.0000, max=0.6650 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8047 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.8394 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.9067 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.7490 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.8804 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.8428 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8145 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0377, min=0.0000, max=0.8999 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6313 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6709 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7451 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.7759 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7598 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7124 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5859 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.8672 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8306 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.8442 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.6099 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.7202 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5928 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.6729 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4783 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.8291 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6235 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.8862 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4187 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.5894 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7710 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.5684 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.3706 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4973 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.8828 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5059 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0498, min=0.0000, max=0.9624 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.5303 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0236, min=0.0000, max=0.7827 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.3765 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.8091 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5103 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.9077 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4077 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0241, min=0.0000, max=0.7915 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3779 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.8022 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3757 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0228, min=0.0000, max=0.8481 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4587 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.7656 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4812 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9692 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7100 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.9521 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3335 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0526, min=0.0000, max=0.9668 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.8911 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.6953 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7598 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0190, min=0.0000, max=0.7119 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8540 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.6025 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5698 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.7944 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6582 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.9341 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6421 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.8799 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5210 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.8677 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.8940 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5898 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0402, min=0.0000, max=0.8901 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.8467 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.8877 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.7524 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.6724 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.5859 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.6777 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.6758 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7568 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.6167 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7300 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.7246 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.5483 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5161 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.6055 | |
| Timestep 501.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.7710 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.8208 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.4919 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.8647 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.9019 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.5938 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.9292 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6606 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0082, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.7769 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6270 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.8896 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.8877 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.9639 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.8252 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8018 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0394, min=0.0000, max=0.9668 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7393 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0437, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7295 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0510, min=0.0000, max=0.8296 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.6431 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.8691 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2795 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0544, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3896 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9463 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.8232 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.9707 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6387 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9688 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.9146 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5161 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0398, min=0.0000, max=0.9712 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3921 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0387, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3713 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6562 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0384, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4558 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0421, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4785 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0462, min=0.0000, max=0.9766 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5073 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0466, min=0.0000, max=0.9111 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7290 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.7573 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.7197 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0202, min=0.0000, max=0.6479 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7744 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.8423 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9141 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7476 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8823 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.8457 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8032 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9048 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6309 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.6924 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7202 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.7710 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7046 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7129 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5767 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.8623 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8242 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.8428 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.5840 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.7275 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5786 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.6772 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.4819 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.8271 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5645 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.9014 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3933 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.5918 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0221, min=0.0000, max=0.5547 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.3848 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4607 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4590 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9614 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.5371 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0238, min=0.0000, max=0.7915 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.3623 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.8198 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4653 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.9102 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3826 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.7993 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3481 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0230, min=0.0000, max=0.7998 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3704 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.8389 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4558 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.7578 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5088 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0387, min=0.0000, max=0.9717 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5845 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0440, min=0.0000, max=0.9497 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3696 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0527, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0059, min=0.0000, max=0.8755 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.6953 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7734 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0191, min=0.0000, max=0.7261 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8550 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.5864 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5186 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.7866 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6401 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.9268 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6743 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.8755 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5220 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.8550 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7603 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.8940 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5259 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.8291 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0497, min=0.0000, max=0.8877 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0020, min=0.0000, max=0.7764 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.6777 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.5713 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.6807 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.6577 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7520 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.6138 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7178 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.7451 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.5483 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.4768 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.6104 | |
| Timestep 521.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.7715 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.8159 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5078 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.8564 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8701 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.5928 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.9282 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6577 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0081, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.7803 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6333 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.8892 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.8955 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.9575 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.8311 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7939 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.9688 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7080 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0438, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7285 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0511, min=0.0000, max=0.8301 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6304 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0501, min=0.0000, max=0.8730 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2766 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0545, min=0.0000, max=0.9556 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3850 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9453 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8125 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.9731 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6660 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.9678 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.9058 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4622 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.9722 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4014 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9839 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.2981 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6055 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0386, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4670 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0426, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4854 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0466, min=0.0000, max=0.9766 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5376 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0470, min=0.0000, max=0.9048 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7456 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7524 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.7090 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.6265 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7842 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8452 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9121 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.7437 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8848 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0350, min=0.0000, max=0.8423 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8057 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9077 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6289 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.7095 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6782 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.7637 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6738 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7119 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5615 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8584 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8130 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.8398 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.5674 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.7466 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5767 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0228, min=0.0000, max=0.6924 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.4780 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.8198 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4988 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.9121 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3857 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0214, min=0.0000, max=0.5933 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.7754 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.5405 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4109 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4106 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4419 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.9575 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.5259 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.7983 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3416 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8130 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4177 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.9097 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3342 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.8018 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3398 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.8027 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3657 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0236, min=0.0000, max=0.8291 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4690 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.7275 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5381 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9731 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6040 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0444, min=0.0000, max=0.9468 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4031 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0529, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0058, min=0.0000, max=0.8618 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.6929 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7783 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0191, min=0.0000, max=0.7393 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.5698 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5601 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0228, min=0.0000, max=0.7773 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6167 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.9229 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6660 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.8721 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5098 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.8403 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6606 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5146 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.8013 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0497, min=0.0000, max=0.8867 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.7920 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.6807 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.5508 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.6836 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.6509 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.7466 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.5967 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.6958 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.7568 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.5488 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.4180 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.6187 | |
| Timestep 541.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.7837 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.8096 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5161 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.8452 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8174 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.5933 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.9214 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6533 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0080, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.7832 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6362 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.8862 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0054, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.9048 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.9434 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8369 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7798 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.9707 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6714 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0440, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7119 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0512, min=0.0000, max=0.8306 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6040 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.8760 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2979 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0546, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3696 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9458 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8032 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.9756 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6855 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9673 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8862 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4338 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0402, min=0.0000, max=0.9736 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4084 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.2952 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5605 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4609 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4785 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0469, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5215 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0473, min=0.0000, max=0.9023 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7646 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7466 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.6948 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.6138 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8086 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.8481 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.9072 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7354 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8857 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.8379 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7974 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.9097 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6294 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.7168 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5874 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0364, min=0.0000, max=0.7656 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6753 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7104 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5454 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8569 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.7896 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.8394 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.5786 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0218, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5908 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.7114 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5376 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.8091 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4443 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.9229 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3853 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.6021 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.5645 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4441 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3618 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.8770 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4536 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0504, min=0.0000, max=0.9590 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.5112 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.8052 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.3381 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.8105 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3748 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0239, min=0.0000, max=0.9092 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2876 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.8013 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2908 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.8135 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3708 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.8179 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4839 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.7080 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5664 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9741 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6230 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0448, min=0.0000, max=0.9438 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4260 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0529, min=0.0000, max=0.9683 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0057, min=0.0000, max=0.8530 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.7012 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7759 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0191, min=0.0000, max=0.7500 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8496 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.5552 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5801 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.7720 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5957 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.9185 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6206 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.8677 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5137 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.8413 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5835 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5127 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7529 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0498, min=0.0000, max=0.8867 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0019, min=0.0000, max=0.7979 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.6792 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.5146 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.6860 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.6230 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.7407 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.5161 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.6592 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.7622 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.5493 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.3484 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0350, min=0.0000, max=0.6245 | |
| Timestep 561.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.7905 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.8003 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5098 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.8262 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.7896 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.5928 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.9048 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6431 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0079, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.7876 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6299 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.8833 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.9170 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.9199 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.8496 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7583 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0402, min=0.0000, max=0.9727 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6211 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6763 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0514, min=0.0000, max=0.8306 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5693 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0504, min=0.0000, max=0.8770 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3201 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0547, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3445 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9463 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8066 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.9775 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6963 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9678 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8574 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4209 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.9741 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4189 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.2871 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0386, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5229 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0391, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4419 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0437, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5005 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0472, min=0.0000, max=0.9814 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5220 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0477, min=0.0000, max=0.9038 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7715 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.7393 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.6641 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0206, min=0.0000, max=0.6323 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7939 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.8516 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8994 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7241 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8882 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0354, min=0.0000, max=0.8345 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.7837 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.9097 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6284 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.7100 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5474 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.7671 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6665 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7095 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5308 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8545 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7886 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0217, min=0.0000, max=0.8413 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.6113 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0221, min=0.0000, max=0.8013 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5835 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0234, min=0.0000, max=0.7324 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5991 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.7974 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4673 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.9336 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3843 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0218, min=0.0000, max=0.5996 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7671 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.6045 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4729 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.8784 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3049 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.8740 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4670 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.9609 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.5029 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.8105 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3420 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.7939 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.3721 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.9111 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2551 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.7993 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2595 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.8213 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3809 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.8159 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4939 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.7383 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5884 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0394, min=0.0000, max=0.9751 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6387 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0452, min=0.0000, max=0.9424 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4446 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0530, min=0.0000, max=0.9688 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0055, min=0.0000, max=0.8628 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.7070 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7661 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.7603 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8354 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.5415 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5645 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0230, min=0.0000, max=0.7729 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5718 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.9155 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5410 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.8657 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5122 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.8433 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5796 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5127 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.8657 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6636 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0498, min=0.0000, max=0.8872 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0018, min=0.0000, max=0.7881 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.6733 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.4724 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.6875 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.5884 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.7358 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.5063 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.6416 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.7432 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.5488 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.2769 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0350, min=0.0000, max=0.6289 | |
| Timestep 581.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.8018 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.7876 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.4773 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.8027 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.7544 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.5923 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.8740 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.6260 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0078, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.7900 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6226 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.8936 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.9302 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.9033 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.8594 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7637 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.9736 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5708 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0445, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6333 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0515, min=0.0000, max=0.8306 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5244 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.8770 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3367 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0548, min=0.0000, max=0.9556 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3103 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9468 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8306 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7026 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9692 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8071 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.9854 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4028 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4304 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9883 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.2695 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5132 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0391, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4226 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0442, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4846 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0475, min=0.0000, max=0.9829 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5303 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0479, min=0.0000, max=0.9043 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7598 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.7393 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.6367 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0208, min=0.0000, max=0.6494 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7104 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.8530 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8901 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.7104 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.8872 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.8335 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7847 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9077 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6255 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.6855 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5254 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0366, min=0.0000, max=0.7656 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6445 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.7080 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5596 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8530 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8076 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0219, min=0.0000, max=0.8457 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.6367 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.8198 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6152 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0238, min=0.0000, max=0.7563 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6094 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.7886 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4866 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.9478 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3962 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0221, min=0.0000, max=0.6187 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7515 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0230, min=0.0000, max=0.6318 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4529 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.8687 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.2937 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.8760 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4685 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9624 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5278 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0248, min=0.0000, max=0.8184 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3450 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.7837 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3782 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.9141 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2588 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.8066 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2573 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8271 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3838 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.8281 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4998 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.7651 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6060 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.9761 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6523 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0457, min=0.0000, max=0.9468 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4475 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0531, min=0.0000, max=0.9688 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0053, min=0.0000, max=0.8384 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.7085 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.7368 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.7681 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8135 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.5347 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4939 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0232, min=0.0000, max=0.7744 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5439 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.9131 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5376 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.8652 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4944 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.8447 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7544 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5073 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0406, min=0.0000, max=0.8604 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6875 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0499, min=0.0000, max=0.8877 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.7495 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.6606 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.4290 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.6909 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.5996 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.7471 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.5571 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.6196 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.7544 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.5479 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.2571 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.6313 | |
| Timestep 601.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.8110 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.7793 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.4329 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.7715 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.7051 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.5894 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.8213 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.6001 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0077, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.7925 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6045 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.9062 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.9414 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8843 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.8730 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7646 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.9751 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5054 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0446, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5962 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0516, min=0.0000, max=0.8315 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4705 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0506, min=0.0000, max=0.8755 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3513 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0548, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.2673 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9458 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8506 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.9800 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7012 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9702 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7129 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3555 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4470 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.2412 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0398, min=0.0000, max=0.9917 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5239 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0390, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3970 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0446, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4209 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0477, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5444 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0482, min=0.0000, max=0.9077 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7368 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.7451 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.5952 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0210, min=0.0000, max=0.6685 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6982 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.8530 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8770 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.6934 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8882 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.8330 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8223 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.9048 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6167 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6621 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5347 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0367, min=0.0000, max=0.7578 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6196 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7065 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5762 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8506 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.7871 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.6362 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.8486 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6138 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.7837 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6431 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0251, min=0.0000, max=0.7866 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4658 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.9624 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3577 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.6426 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.7314 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.6104 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4229 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2949 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4644 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0511, min=0.0000, max=0.9624 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5063 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.8296 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3423 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.7944 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3726 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.9209 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2612 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8159 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2495 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.8315 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3831 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8442 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4998 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.7881 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6172 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0401, min=0.0000, max=0.9775 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6592 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0463, min=0.0000, max=0.9521 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4397 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0532, min=0.0000, max=0.9707 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0051, min=0.0000, max=0.8071 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.7085 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7036 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0193, min=0.0000, max=0.7749 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7837 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0183, min=0.0000, max=0.5293 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4998 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.7798 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5220 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.9121 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5239 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.8672 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4312 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.8462 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6597 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.8960 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5342 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.8818 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6943 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.8882 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0017, min=0.0000, max=0.6602 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.6416 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.3787 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.6987 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.6113 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7583 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.5840 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.5991 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.7417 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.5469 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.2250 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.6313 | |
| Timestep 621.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.8174 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.7788 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.4363 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.7329 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.6440 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.5874 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.7856 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.5718 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0076, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.7944 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5889 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.9180 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.9487 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.8726 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.8867 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7485 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.9756 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4380 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0449, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5518 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0517, min=0.0000, max=0.8320 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4551 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.8745 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0549, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.2434 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9443 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8647 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0272, min=0.0000, max=0.9810 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6987 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9707 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6040 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.9844 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3301 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0406, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4712 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0390, min=0.0000, max=0.9902 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2355 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4648 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0390, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3870 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0449, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4006 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0479, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5498 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0484, min=0.0000, max=0.9087 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7026 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7476 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.5591 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0211, min=0.0000, max=0.6846 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6973 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.8525 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8813 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.6733 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8867 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.8306 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7808 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0386, min=0.0000, max=0.9009 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6060 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6577 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6567 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0367, min=0.0000, max=0.7500 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6289 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.7051 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5840 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0428, min=0.0000, max=0.8516 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7788 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.8682 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.6333 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.8828 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6021 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.8008 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6606 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8130 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4370 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9692 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3352 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.6660 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.7026 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.6011 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3987 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8667 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2832 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0367, min=0.0000, max=0.8906 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4595 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0515, min=0.0000, max=0.9609 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.4380 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8389 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3462 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.8057 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3555 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.9258 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2566 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.8257 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2393 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.8481 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3789 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.8608 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4958 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.8003 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6245 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.9780 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6689 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0469, min=0.0000, max=0.9551 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4392 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0534, min=0.0000, max=0.9731 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.7559 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.7021 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7036 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.7783 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7896 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0183, min=0.0000, max=0.5239 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5020 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0238, min=0.0000, max=0.7881 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5034 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9111 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5010 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.8701 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4238 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.8467 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6987 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.9014 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5713 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.7036 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0501, min=0.0000, max=0.8882 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0016, min=0.0000, max=0.5190 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.6157 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.3289 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7002 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.6230 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7686 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.5864 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.5947 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.7095 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.5449 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.1902 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.6304 | |
| Timestep 641.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.8218 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0223, min=0.0000, max=0.7754 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.4280 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.6880 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.5693 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.5845 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.7627 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.5791 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0075, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.7954 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5708 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.9326 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.9556 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.8604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.8999 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7261 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0414, min=0.0000, max=0.9771 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4302 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5112 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0518, min=0.0000, max=0.8315 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4626 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.8765 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3635 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0550, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2283 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9419 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8750 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.9819 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7041 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9717 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6294 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.9844 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2771 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.9741 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4817 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9912 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2520 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4307 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3862 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0452, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4065 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0480, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5498 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9092 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6489 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.7485 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.5273 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0213, min=0.0000, max=0.6973 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6914 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.8501 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8848 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.6704 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8853 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.8271 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7334 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9004 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.5972 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6528 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6572 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.7441 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6187 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.7026 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5752 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8511 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.7969 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.8818 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6123 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0234, min=0.0000, max=0.9048 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6343 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.8066 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6543 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.8267 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4382 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.9727 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3381 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.6797 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6699 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.6138 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4104 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.8843 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3318 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0371, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4512 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0518, min=0.0000, max=0.9604 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.4453 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.8472 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3486 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.8179 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3447 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.9375 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2422 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8359 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2369 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.8633 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3711 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4844 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.8086 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6255 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.9795 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6719 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0474, min=0.0000, max=0.9575 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4377 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0535, min=0.0000, max=0.9756 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0048, min=0.0000, max=0.7627 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.6929 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7114 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.7856 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.7905 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.5161 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5044 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.7935 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4895 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.9097 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5049 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.8770 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4185 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.8501 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7261 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.9048 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6074 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.8892 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7080 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.8887 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.4016 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.6016 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.2812 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6973 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.6377 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7749 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.5713 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.5938 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.6655 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.5410 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.1522 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.6294 | |
| Timestep 661.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8267 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.7671 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.4070 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.6455 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.5815 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.5791 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.7305 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.5918 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0074, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.7954 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5566 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.9409 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.9600 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.8413 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.9111 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7476 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4702 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0452, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4644 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0520, min=0.0000, max=0.8315 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4580 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0509, min=0.0000, max=0.8784 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3630 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0551, min=0.0000, max=0.9570 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2281 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9395 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8823 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.9819 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6943 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9717 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6714 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.9834 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2881 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.9731 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0393, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2588 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0414, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4514 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0387, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3882 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0453, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3972 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0480, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5483 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9136 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5942 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.7505 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.5127 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0214, min=0.0000, max=0.7119 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6841 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.8516 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8745 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.6694 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8828 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0364, min=0.0000, max=0.8218 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7148 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9028 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5874 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6470 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6416 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.7383 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5688 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.7007 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5522 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8501 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7612 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.8843 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4895 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.9131 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7300 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.8271 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6270 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.8315 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3938 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.9756 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3979 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.6904 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6431 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.6138 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4714 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.8984 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4600 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0376, min=0.0000, max=0.8960 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4626 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0520, min=0.0000, max=0.9604 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4424 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.8521 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3418 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.8291 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3364 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9453 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2247 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.8496 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2322 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.8745 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3645 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.8901 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4746 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.8193 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.6270 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.9810 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6772 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0479, min=0.0000, max=0.9585 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4368 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0536, min=0.0000, max=0.9775 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.7729 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.6787 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7134 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.7915 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7817 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.5107 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5039 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.7993 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4792 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.9082 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5146 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4104 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.8550 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7500 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.9053 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6338 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.8906 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7080 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0503, min=0.0000, max=0.8901 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.3708 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.5967 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.2461 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6938 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.6362 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7788 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.5093 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.5908 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.6270 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.5366 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1238 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.6294 | |
| Timestep 681.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8306 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.7607 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.3774 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.6587 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.5913 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.5723 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.6880 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.6045 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9839 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.7954 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5435 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.9482 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.9785 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.9634 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8198 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.9204 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7666 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0421, min=0.0000, max=0.9810 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0454, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4360 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0521, min=0.0000, max=0.8306 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4412 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0510, min=0.0000, max=0.8804 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3577 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0552, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2294 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9380 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8857 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9829 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6675 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9712 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6929 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.9824 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3074 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9727 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4719 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0397, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2756 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4211 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0386, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3845 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0455, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3152 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0482, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5259 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.9150 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5962 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.7544 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.5278 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0215, min=0.0000, max=0.7246 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6772 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.8579 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8652 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6724 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8794 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0367, min=0.0000, max=0.8164 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.6895 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0391, min=0.0000, max=0.9048 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5723 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.6479 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4338 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.7402 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5161 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.6997 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5210 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8506 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.5698 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4233 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.9038 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6826 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.8530 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7300 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8423 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3486 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.9810 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5508 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.7061 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.6123 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0253, min=0.0000, max=0.6118 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5742 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.9097 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.6167 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4653 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0522, min=0.0000, max=0.9604 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4292 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8574 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3337 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.8413 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3120 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9502 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2101 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.8613 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2252 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.8828 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3545 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.9028 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4592 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.8315 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.6211 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0414, min=0.0000, max=0.9819 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6763 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0483, min=0.0000, max=0.9585 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4370 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0538, min=0.0000, max=0.9785 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.7803 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.6572 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.7139 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.7944 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7598 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.5054 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5024 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8081 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4700 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.9067 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5190 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.8931 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4004 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7568 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.9058 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6426 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0414, min=0.0000, max=0.8877 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.6987 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0503, min=0.0000, max=0.8911 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0015, min=0.0000, max=0.3623 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.5986 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.2169 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6953 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.6138 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7754 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.3997 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.5840 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5767 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.5298 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1077 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0353, min=0.0000, max=0.6289 | |
| Timestep 701.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8335 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0224, min=0.0000, max=0.7485 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.3562 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6792 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.5913 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.5620 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.6353 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.6152 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0073, min=0.0000, max=0.9834 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.7949 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5317 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9521 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.9712 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.9692 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7925 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.9268 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.7842 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0424, min=0.0000, max=0.9824 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5171 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0455, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4287 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0522, min=0.0000, max=0.8306 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4036 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0511, min=0.0000, max=0.8818 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3518 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0554, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.2330 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9360 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8853 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9829 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6509 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9697 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6982 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.9819 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2791 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.9785 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4546 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2908 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0424, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3569 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0384, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3831 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0455, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.2418 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0482, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5161 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.9146 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6016 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.7588 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.5400 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0217, min=0.0000, max=0.7393 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6694 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.8662 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8359 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0314, min=0.0000, max=0.6758 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8750 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.8115 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6631 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0393, min=0.0000, max=0.9062 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5552 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6494 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4165 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.7427 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4841 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0407, min=0.0000, max=0.6987 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4783 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8501 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.6997 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.8804 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.3965 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.8853 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6206 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.8740 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6533 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.8477 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3267 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9844 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5024 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.7158 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5825 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0255, min=0.0000, max=0.6279 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4956 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.9219 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.6152 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4382 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0524, min=0.0000, max=0.9614 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4019 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0272, min=0.0000, max=0.8594 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3789 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.8530 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2720 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.9526 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2130 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.8687 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2186 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.8853 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3477 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.9131 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4456 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.8418 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.6172 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0416, min=0.0000, max=0.9824 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6768 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.9570 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4370 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0538, min=0.0000, max=0.9790 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7837 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.6328 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7168 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0197, min=0.0000, max=0.7920 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.7261 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0185, min=0.0000, max=0.4951 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5034 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.8159 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4561 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.9038 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5254 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.8931 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3943 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.8545 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7407 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.9053 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6484 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0415, min=0.0000, max=0.8813 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6821 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0504, min=0.0000, max=0.8916 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.3503 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.5923 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.2161 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6924 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.5728 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7642 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.3357 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.5713 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5117 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.5215 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0919 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0354, min=0.0000, max=0.6260 | |
| Timestep 721.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8345 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0226, min=0.0000, max=0.7339 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.3232 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.6938 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5933 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.5557 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.6011 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.6265 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0072, min=0.0000, max=0.9829 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.7920 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5249 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.9712 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.9736 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.7549 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.9297 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7930 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0427, min=0.0000, max=0.9834 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5181 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0456, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4160 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0523, min=0.0000, max=0.8301 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3491 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0511, min=0.0000, max=0.8823 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3428 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0555, min=0.0000, max=0.9575 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.2465 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9341 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8813 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.9829 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6353 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9702 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6719 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.9819 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2147 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9819 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4326 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0402, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3008 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0427, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3474 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3752 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0454, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2629 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0482, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9204 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6050 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.7617 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.5562 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0218, min=0.0000, max=0.7656 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6602 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.8745 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.8184 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.6797 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8682 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.8062 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6538 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.9072 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5352 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6484 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4055 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0371, min=0.0000, max=0.7393 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4736 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0407, min=0.0000, max=0.6958 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4529 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8501 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.7612 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.8818 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.3755 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8555 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5176 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4282 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.8438 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2715 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9873 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2964 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.7202 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5635 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.6519 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3425 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.9253 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4016 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.8999 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4331 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0526, min=0.0000, max=0.9634 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.3889 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.8564 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3013 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.8618 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2086 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9526 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2122 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.8716 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2130 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3389 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.9204 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4297 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.8491 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.6079 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.9829 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6694 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0490, min=0.0000, max=0.9585 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4382 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0539, min=0.0000, max=0.9795 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0044, min=0.0000, max=0.7832 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.6006 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.7119 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.7847 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6704 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.4861 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5093 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8218 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4458 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.9019 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5303 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3845 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.8550 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.7251 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.9048 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6406 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0416, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6714 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0504, min=0.0000, max=0.8911 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0014, min=0.0000, max=0.3572 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.5820 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.2240 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6826 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.5234 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7412 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.3167 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.5557 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.4253 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.5122 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0772 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.6201 | |
| Timestep 741.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.8384 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0227, min=0.0000, max=0.7139 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.2849 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.7041 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5825 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.5435 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.6382 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.6348 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0071, min=0.0000, max=0.9824 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.7905 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5186 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.9717 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0364, min=0.0000, max=0.9775 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.7075 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.9312 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7959 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.9844 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5024 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0457, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4011 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0525, min=0.0000, max=0.8296 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2896 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0513, min=0.0000, max=0.8833 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3318 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0556, min=0.0000, max=0.9585 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.2610 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9307 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8726 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9824 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6167 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9727 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6270 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.9829 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2115 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.9863 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4082 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3042 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3398 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3650 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0455, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2898 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0483, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4805 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.9233 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6099 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.7612 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.5625 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0220, min=0.0000, max=0.7930 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6504 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.8828 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8169 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.6851 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8604 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0376, min=0.0000, max=0.8027 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6631 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0398, min=0.0000, max=0.9116 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5151 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6494 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4111 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.7412 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4568 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0406, min=0.0000, max=0.6982 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4597 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.8496 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.7339 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0235, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.4106 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.8350 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3435 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0261, min=0.0000, max=0.8862 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2720 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.8398 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2844 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9893 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2888 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.7207 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5342 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.6729 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3367 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0353, min=0.0000, max=0.9258 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3608 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9077 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4219 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0527, min=0.0000, max=0.9658 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3696 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.8525 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2798 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.8696 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.1873 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.9492 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2078 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8809 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2056 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.8857 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3289 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.9297 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4128 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.8564 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.5996 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0418, min=0.0000, max=0.9829 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6616 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.9595 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4529 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0539, min=0.0000, max=0.9795 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.7925 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.5654 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7095 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0196, min=0.0000, max=0.7754 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5918 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0184, min=0.0000, max=0.4836 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5264 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8247 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4380 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.8994 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5361 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3770 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.8560 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6953 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.9043 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6426 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.8848 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6553 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.8916 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.3604 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.5806 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.2211 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6694 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.4761 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7212 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.2903 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.5581 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.3474 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.5034 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.0674 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.6089 | |
| Timestep 761.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.8398 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0228, min=0.0000, max=0.6909 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.2363 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.7134 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5532 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.5308 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.6177 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.6411 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0070, min=0.0000, max=0.9810 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.7881 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5117 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.9565 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.9707 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.9810 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.6797 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.9292 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7876 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.9858 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4800 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0459, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3806 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0526, min=0.0000, max=0.8315 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2219 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0514, min=0.0000, max=0.8843 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3193 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0558, min=0.0000, max=0.9595 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0008, min=0.0000, max=0.2532 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9302 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8633 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9819 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5957 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5728 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2539 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9897 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3877 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3054 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0437, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3298 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3557 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0455, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2717 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0485, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4727 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.9219 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6104 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.7603 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5410 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0222, min=0.0000, max=0.8188 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6426 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.8931 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.8071 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6899 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.8516 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.7983 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6714 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0400, min=0.0000, max=0.9175 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5093 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.6499 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4194 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.7417 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4692 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0406, min=0.0000, max=0.7007 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4609 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.8486 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.6836 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0236, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.4807 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.8511 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3257 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.8916 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.2483 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.8389 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2810 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.9907 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2747 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.7212 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5176 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.6938 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3567 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.9331 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3677 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0390, min=0.0000, max=0.9136 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4075 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0529, min=0.0000, max=0.9692 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3418 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.8442 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2559 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.8750 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.1775 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.9448 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2059 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.8901 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2021 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3210 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9370 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4067 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.8652 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.5913 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.9839 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6514 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0494, min=0.0000, max=0.9600 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4578 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0540, min=0.0000, max=0.9790 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.8037 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.5547 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.7021 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.7632 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.5117 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0183, min=0.0000, max=0.4895 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5420 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.8193 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4219 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.8970 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5425 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.8911 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3682 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.8525 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6631 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.9033 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6592 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.8872 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6289 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0505, min=0.0000, max=0.8931 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.3489 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.5806 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.2051 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6729 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.4229 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.7114 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.2522 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.5605 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.2798 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.4951 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.0594 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.5938 | |
| Timestep 781.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.8374 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.6748 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.2180 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.7153 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5557 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.5166 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.6152 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.6479 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0070, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.7847 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5083 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.9595 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9702 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0371, min=0.0000, max=0.9839 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.6699 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.9360 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.7729 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0437, min=0.0000, max=0.9883 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4385 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0460, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3616 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0527, min=0.0000, max=0.8354 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2008 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0515, min=0.0000, max=0.8848 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3042 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0558, min=0.0000, max=0.9600 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0008, min=0.0000, max=0.2426 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.9292 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8687 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9805 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5747 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.9751 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5220 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.9873 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3079 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.9927 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3740 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0414, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3003 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3811 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3418 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0456, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2109 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4673 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0488, min=0.0000, max=0.9282 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6548 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.7617 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.5117 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0225, min=0.0000, max=0.8403 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6309 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.9019 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7690 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.6929 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.8398 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.7925 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6484 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.9219 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4971 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.6562 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4456 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.7373 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4417 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0406, min=0.0000, max=0.7021 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4580 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.8486 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.6729 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.8726 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5200 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.8701 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3340 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.9126 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2472 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.8306 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2529 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.9917 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2603 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.7109 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4907 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.7119 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3586 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.9380 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3635 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0393, min=0.0000, max=0.9180 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3879 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0529, min=0.0000, max=0.9702 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.3364 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.8506 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2350 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.8789 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.1633 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.9463 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2012 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.8975 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2007 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.9023 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3159 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.9438 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4204 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.8711 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.5811 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.9849 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6416 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.9609 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4580 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0540, min=0.0000, max=0.9780 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.8120 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.5449 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6914 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.7480 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5269 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0182, min=0.0000, max=0.4902 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5557 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.8096 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4185 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5420 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.8940 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3494 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.8462 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6318 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.9023 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6641 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.6045 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0506, min=0.0000, max=0.8926 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0013, min=0.0000, max=0.3186 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.5845 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.1748 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6758 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.3706 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.7012 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.2255 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.5630 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.2542 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.4897 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.0488 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.5923 | |
| Timestep 801.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.8389 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0231, min=0.0000, max=0.6685 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1904 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.7158 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5635 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.4990 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.6772 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.6519 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0069, min=0.0000, max=0.9814 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.7969 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4949 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9619 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.9673 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0375, min=0.0000, max=0.9858 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6592 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.9468 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7485 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0439, min=0.0000, max=0.9902 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3857 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0460, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3425 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0528, min=0.0000, max=0.8379 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2085 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0516, min=0.0000, max=0.8853 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.2915 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0560, min=0.0000, max=0.9604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0008, min=0.0000, max=0.2356 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9287 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0039, min=0.0000, max=0.8750 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5513 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4739 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3252 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3613 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.9961 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3857 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3315 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0457, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2421 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0487, min=0.0000, max=0.9878 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4675 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0489, min=0.0000, max=0.9312 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6982 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.7637 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.5078 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0229, min=0.0000, max=0.8584 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6152 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.9092 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.7222 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.6914 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.8267 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0386, min=0.0000, max=0.8018 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6206 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.9248 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4780 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.6733 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4761 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.7368 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4119 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0406, min=0.0000, max=0.7041 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4551 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0431, min=0.0000, max=0.8564 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0041, min=0.0000, max=0.6831 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0239, min=0.0000, max=0.8711 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5156 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.8887 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3474 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.9326 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2435 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.8428 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2444 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.9927 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2485 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0250, min=0.0000, max=0.7588 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4668 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.7241 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3486 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.9429 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3611 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.9150 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3691 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0530, min=0.0000, max=0.9702 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.3367 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.8584 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2316 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.8799 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.1611 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.9492 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2019 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.9043 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2130 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9053 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3167 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.9492 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4341 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.8774 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.5688 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0420, min=0.0000, max=0.9849 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6460 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0497, min=0.0000, max=0.9609 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4521 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0540, min=0.0000, max=0.9775 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0040, min=0.0000, max=0.8027 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.5400 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6733 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.7300 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4626 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.5112 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5615 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.7861 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4163 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.8931 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5312 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.8994 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3206 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.8438 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5918 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.8999 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.6514 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0420, min=0.0000, max=0.8931 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.5703 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0508, min=0.0000, max=0.8901 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.2778 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.5869 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.1864 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6772 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.3130 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.6890 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.2003 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.5664 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.2402 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.4846 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.0417 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.5918 | |
| Timestep 821.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.8359 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.6562 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1663 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.7104 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.5713 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.4844 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.7305 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.6562 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0068, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0313, min=0.0000, max=0.8130 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5068 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.9639 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.9624 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9868 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6743 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.9541 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.7217 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.9917 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3110 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0461, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3196 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0528, min=0.0000, max=0.8413 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2223 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0517, min=0.0000, max=0.8853 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.2734 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0561, min=0.0000, max=0.9614 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0007, min=0.0000, max=0.2314 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0507, min=0.0000, max=0.9277 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8804 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9766 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5317 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0279, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4272 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.9902 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3022 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3464 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0428, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2683 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0460, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3235 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3191 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0461, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0488, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4685 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0491, min=0.0000, max=0.9268 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7266 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.7637 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.5083 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0233, min=0.0000, max=0.8730 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5972 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.9160 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6719 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.6953 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.8096 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0391, min=0.0000, max=0.8198 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5698 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9272 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4604 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.6938 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4890 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.7407 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3850 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0407, min=0.0000, max=0.7065 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4441 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0433, min=0.0000, max=0.8638 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.6836 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0241, min=0.0000, max=0.8774 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.4719 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.9121 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2822 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.9575 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2399 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.8525 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2673 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.9893 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2363 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.8188 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4375 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.7256 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3733 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0366, min=0.0000, max=0.9482 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3489 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0400, min=0.0000, max=0.8877 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3535 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0532, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.3066 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.8691 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2302 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.8770 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.1549 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.9521 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.1942 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.9146 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.1985 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.9087 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3154 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.9556 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4446 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.8848 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.5483 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0422, min=0.0000, max=0.9849 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6479 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9614 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4512 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0541, min=0.0000, max=0.9766 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.7397 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.5435 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6646 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0194, min=0.0000, max=0.7129 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4517 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.5039 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5542 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.7661 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4021 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0287, min=0.0000, max=0.8989 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5225 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0295, min=0.0000, max=0.9048 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3186 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0351, min=0.0000, max=0.8428 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5557 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.8994 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6196 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0422, min=0.0000, max=0.8970 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.5479 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0509, min=0.0000, max=0.8896 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0012, min=0.0000, max=0.2756 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.5928 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.2443 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6836 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.2585 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.6738 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.1613 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.5688 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.2175 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.4827 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0003, min=0.0000, max=0.0327 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0358, min=0.0000, max=0.5884 | |
| Timestep 841.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.8325 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0234, min=0.0000, max=0.6577 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1594 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.7007 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5664 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.4836 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.7710 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.6577 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0067, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.8257 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5342 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.9678 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.9546 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9883 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.6748 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.9600 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.6821 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0446, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2808 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0462, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2942 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0528, min=0.0000, max=0.8423 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2336 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0518, min=0.0000, max=0.8848 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.2583 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0562, min=0.0000, max=0.9619 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0007, min=0.0000, max=0.2234 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0506, min=0.0000, max=0.9258 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8818 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9722 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5059 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9727 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3948 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.9912 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2539 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0415, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3438 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2417 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0471, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3677 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0396, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3062 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0464, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3376 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0490, min=0.0000, max=0.9893 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4802 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.9214 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7393 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.7637 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4980 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.8853 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5801 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.9238 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.6504 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.6958 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.7847 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0396, min=0.0000, max=0.8257 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4797 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.9326 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4675 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.7100 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4199 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0374, min=0.0000, max=0.7466 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3831 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.7056 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4331 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0437, min=0.0000, max=0.8706 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0042, min=0.0000, max=0.6772 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.8896 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.4001 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.9243 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3711 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.9683 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2612 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.8486 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2462 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.9878 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2264 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8467 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3962 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.7104 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3406 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0373, min=0.0000, max=0.9536 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3293 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.8926 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3550 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0534, min=0.0000, max=0.9644 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.3567 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.8784 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2257 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.8687 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.1436 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.9580 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.1881 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.9175 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.1788 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.9150 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3091 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.9629 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4519 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.5249 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0425, min=0.0000, max=0.9849 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6455 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.9614 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.4365 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0541, min=0.0000, max=0.9761 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.6997 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.5454 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6436 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.7075 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.4690 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0181, min=0.0000, max=0.4768 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5303 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0246, min=0.0000, max=0.7158 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3735 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.9009 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5020 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.9072 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3225 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.8438 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5283 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.9014 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5771 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0425, min=0.0000, max=0.8970 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.5068 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0511, min=0.0000, max=0.8911 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.2382 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.6055 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.1688 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.6851 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.2484 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.6479 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.1224 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.5703 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1882 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0305, min=0.0000, max=0.4807 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0003, min=0.0000, max=0.0252 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0358, min=0.0000, max=0.5835 | |
| Timestep 861.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0011, min=0.0000, max=0.8237 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0236, min=0.0000, max=0.6631 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1520 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.6880 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5732 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.4822 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.7842 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.6592 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0066, min=0.0000, max=0.9956 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.8413 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.5591 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0327, min=0.0000, max=0.9707 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.9395 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.9888 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6558 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.9629 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6318 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0448, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2744 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0463, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2739 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0528, min=0.0000, max=0.8428 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2485 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0520, min=0.0000, max=0.8848 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2448 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0562, min=0.0000, max=0.9619 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0007, min=0.0000, max=0.2029 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0504, min=0.0000, max=0.9253 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.8882 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9668 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4792 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9692 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3574 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0373, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2054 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3330 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2417 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0485, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3340 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3083 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0469, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3789 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4915 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.9204 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7388 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.7622 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.4761 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0243, min=0.0000, max=0.9009 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5571 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.9292 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.6406 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.6758 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.7534 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0401, min=0.0000, max=0.8159 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.4465 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.9312 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4827 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0332, min=0.0000, max=0.7207 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3481 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0377, min=0.0000, max=0.7422 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4285 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.7075 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4153 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0443, min=0.0000, max=0.8735 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0043, min=0.0000, max=0.6724 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0247, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.3489 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.9321 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3340 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.9771 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2190 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.8579 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2355 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0318, min=0.0000, max=0.9854 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2372 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.8613 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3682 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0272, min=0.0000, max=0.7178 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2898 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.9565 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3257 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.8857 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3455 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0536, min=0.0000, max=0.9629 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.3054 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.8931 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3232 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.8638 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.1387 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.9648 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.1672 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.9180 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.1688 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0306, min=0.0000, max=0.9189 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.2964 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0354, min=0.0000, max=0.9673 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4456 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.8999 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.4934 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.9839 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6377 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.9590 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.4275 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0540, min=0.0000, max=0.9771 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.6421 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.5469 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6206 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0198, min=0.0000, max=0.7285 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4404 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0183, min=0.0000, max=0.4556 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.5234 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0251, min=0.0000, max=0.7061 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3455 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.9062 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.4868 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.9082 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3169 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.8467 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5015 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0354, min=0.0000, max=0.9014 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5679 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0428, min=0.0000, max=0.8979 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.4612 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0513, min=0.0000, max=0.8979 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.2683 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.5811 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.1027 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.6714 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.1884 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.6143 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.0995 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.5693 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1494 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.4734 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0003, min=0.0000, max=0.0199 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.5796 | |
| Timestep 881.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.8188 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0237, min=0.0000, max=0.6626 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1411 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.6772 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.5659 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.4775 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.7920 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.6587 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0065, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.8511 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.5825 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.9746 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.9224 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.9902 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6094 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.9653 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5791 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2494 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0463, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2773 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0528, min=0.0000, max=0.8438 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2661 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0521, min=0.0000, max=0.8838 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2336 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0563, min=0.0000, max=0.9619 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0007, min=0.0000, max=0.1952 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.9233 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8892 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4580 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9648 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3164 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0377, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2559 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0422, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3286 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2230 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0499, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3379 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3518 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0474, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2815 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0497, min=0.0000, max=0.9927 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9238 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0034, min=0.0000, max=0.7964 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.7612 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4468 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0249, min=0.0000, max=0.9131 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5288 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0358, min=0.0000, max=0.9331 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5991 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.6548 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.7305 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0405, min=0.0000, max=0.8159 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.4688 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0422, min=0.0000, max=0.9287 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5039 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0335, min=0.0000, max=0.7251 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3513 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.7393 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4448 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0415, min=0.0000, max=0.7065 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3840 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.8799 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0045, min=0.0000, max=0.7080 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.8628 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0030, min=0.0000, max=0.2983 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0286, min=0.0000, max=0.9414 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.2903 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.9785 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3193 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.8887 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2362 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0328, min=0.0000, max=0.9878 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2332 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.8550 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3181 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.7114 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2693 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0393, min=0.0000, max=0.9551 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3145 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.8955 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3508 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0539, min=0.0000, max=0.9619 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2979 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.9106 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2173 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.8765 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.1237 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.9731 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.1683 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.9199 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.1578 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9136 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2798 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0366, min=0.0000, max=0.9639 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.4128 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.9058 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.4749 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0433, min=0.0000, max=0.9834 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.6182 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0502, min=0.0000, max=0.9575 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.4067 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0538, min=0.0000, max=0.9751 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0032, min=0.0000, max=0.6514 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0272, min=0.0000, max=0.5483 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.5942 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0204, min=0.0000, max=0.7651 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.3999 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0188, min=0.0000, max=0.4514 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.5190 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0262, min=0.0000, max=0.7173 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3069 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.9146 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.4746 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9062 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3218 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.8501 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5889 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.9014 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5498 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0431, min=0.0000, max=0.9067 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.3987 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0514, min=0.0000, max=0.8984 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.2583 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.5332 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.0782 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0311, min=0.0000, max=0.6650 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.1737 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.5576 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.0954 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.5679 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1334 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.4666 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0002, min=0.0000, max=0.0185 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.5830 | |
| Timestep 901.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.8149 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0238, min=0.0000, max=0.6611 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1290 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6709 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.5557 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.4756 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.7788 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.6606 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0064, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0321, min=0.0000, max=0.8594 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.6040 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.9775 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.9048 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0390, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5435 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.9639 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.5264 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.9937 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.2101 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0462, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3169 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0527, min=0.0000, max=0.8433 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2795 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0521, min=0.0000, max=0.8818 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2233 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0562, min=0.0000, max=0.9609 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0007, min=0.0000, max=0.1986 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9224 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.8921 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.9585 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4346 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9561 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2856 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2585 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0425, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3171 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0452, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2595 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0506, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3279 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0416, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3250 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0476, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2759 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0499, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4849 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0501, min=0.0000, max=0.9268 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.8677 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.7642 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.4368 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0252, min=0.0000, max=0.9180 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.5039 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0361, min=0.0000, max=0.9331 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0028, min=0.0000, max=0.5444 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.6592 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.7095 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0408, min=0.0000, max=0.8188 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4736 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0425, min=0.0000, max=0.9351 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5225 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.7266 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3535 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.7500 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3792 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0416, min=0.0000, max=0.7051 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3535 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0453, min=0.0000, max=0.8882 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0046, min=0.0000, max=0.7725 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0257, min=0.0000, max=0.8433 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.2866 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0293, min=0.0000, max=0.9502 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2998 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.9771 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3684 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.8960 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2152 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0333, min=0.0000, max=0.9907 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2294 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0266, min=0.0000, max=0.8613 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2791 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.7036 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2551 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0399, min=0.0000, max=0.9482 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2983 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.8945 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3555 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0541, min=0.0000, max=0.9619 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2505 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0312, min=0.0000, max=0.9155 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2202 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.8979 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.1271 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.9780 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.1725 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0375, min=0.0000, max=0.9316 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1450 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.9248 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2688 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.9639 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3745 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.9028 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.4529 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.9824 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5991 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9580 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.4211 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0536, min=0.0000, max=0.9731 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6436 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0273, min=0.0000, max=0.5474 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5532 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0209, min=0.0000, max=0.7700 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3662 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0192, min=0.0000, max=0.4590 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.5137 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.7427 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3262 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9229 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4609 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.9121 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3179 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0377, min=0.0000, max=0.8525 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6147 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0365, min=0.0000, max=0.8989 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.5127 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.9033 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.3652 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0515, min=0.0000, max=0.8984 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.2566 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.4832 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0753 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0310, min=0.0000, max=0.6533 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1825 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0288, min=0.0000, max=0.5015 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0887 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.5659 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1232 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.4597 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0002, min=0.0000, max=0.0165 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0358, min=0.0000, max=0.5854 | |
| Timestep 921.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0010, min=0.0000, max=0.8027 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0240, min=0.0000, max=0.6621 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1186 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6729 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.5415 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.4802 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.7407 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6650 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0063, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0322, min=0.0000, max=0.8652 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.6343 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.9785 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.8818 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0391, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4717 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0360, min=0.0000, max=0.9580 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.4666 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0448, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.1888 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0461, min=0.0000, max=0.9907 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3086 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0526, min=0.0000, max=0.8408 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2839 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0520, min=0.0000, max=0.8794 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2090 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0562, min=0.0000, max=0.9604 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0007, min=0.0000, max=0.2017 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.9224 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.9009 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0271, min=0.0000, max=0.9604 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4172 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9502 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2612 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2532 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0427, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3098 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0451, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.1949 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0512, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3242 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0419, min=0.0000, max=0.9976 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3296 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0478, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3066 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.4780 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9268 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9155 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0342, min=0.0000, max=0.7700 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.4634 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0254, min=0.0000, max=0.9185 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.4878 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.9360 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0027, min=0.0000, max=0.5264 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0337, min=0.0000, max=0.6699 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6855 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0410, min=0.0000, max=0.8306 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4736 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0428, min=0.0000, max=0.9419 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.5352 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.7310 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3594 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.7529 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3979 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.7041 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3232 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0456, min=0.0000, max=0.8936 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0047, min=0.0000, max=0.8267 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.8252 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.3347 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0299, min=0.0000, max=0.9541 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.2722 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.9697 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3865 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.8975 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2438 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.9922 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2299 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.8696 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2465 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.7085 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2416 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.9414 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2883 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.8911 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3647 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0543, min=0.0000, max=0.9648 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.2469 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.9180 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2181 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.9092 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.1322 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.9795 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1566 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9395 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.1354 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0319, min=0.0000, max=0.9370 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.2737 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0374, min=0.0000, max=0.9619 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3347 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0347, min=0.0000, max=0.8989 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.4253 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.9810 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5737 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0499, min=0.0000, max=0.9561 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.4348 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0534, min=0.0000, max=0.9692 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6299 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.5430 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5063 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0212, min=0.0000, max=0.7603 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3420 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0195, min=0.0000, max=0.4841 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.5044 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.7539 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3489 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.9238 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4404 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.9082 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3271 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.6172 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0368, min=0.0000, max=0.8950 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4402 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.8911 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.3254 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0516, min=0.0000, max=0.8994 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.2539 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0278, min=0.0000, max=0.4338 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0761 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.6353 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1847 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0285, min=0.0000, max=0.5059 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0821 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.5625 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0003, min=0.0000, max=0.1169 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.4539 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0002, min=0.0000, max=0.0145 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0356, min=0.0000, max=0.5884 | |
| Timestep 941.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.7930 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0242, min=0.0000, max=0.6611 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1151 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6782 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.5249 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.4756 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.6924 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.6685 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0062, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0324, min=0.0000, max=0.8711 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.6611 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0331, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0024, min=0.0000, max=0.8584 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0392, min=0.0000, max=0.9941 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3853 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0359, min=0.0000, max=0.9502 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.4001 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0447, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.1769 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0460, min=0.0000, max=0.9883 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3123 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0524, min=0.0000, max=0.8394 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2917 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0520, min=0.0000, max=0.8774 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1960 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0561, min=0.0000, max=0.9595 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0006, min=0.0000, max=0.1920 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0493, min=0.0000, max=0.9214 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0037, min=0.0000, max=0.9033 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0269, min=0.0000, max=0.9648 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3945 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9556 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.2350 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2250 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0429, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3118 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0450, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.1882 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0517, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3145 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0423, min=0.0000, max=0.9980 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3369 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0479, min=0.0000, max=0.9966 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3606 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0501, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4731 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9253 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9468 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0343, min=0.0000, max=0.7720 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5029 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0256, min=0.0000, max=0.9243 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4832 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.9399 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.5645 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.6777 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.6597 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0411, min=0.0000, max=0.8364 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.4600 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.9478 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.5586 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.7349 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3901 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.7495 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.4246 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.7080 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2896 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0457, min=0.0000, max=0.8960 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0049, min=0.0000, max=0.8779 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0260, min=0.0000, max=0.7993 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4097 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.9556 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2554 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0302, min=0.0000, max=0.9492 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3398 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.9106 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2473 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.9937 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2301 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0268, min=0.0000, max=0.8711 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2181 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.7100 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2296 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0404, min=0.0000, max=0.9512 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2786 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3696 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0544, min=0.0000, max=0.9658 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2515 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0316, min=0.0000, max=0.9229 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.2197 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.9155 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.1360 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0369, min=0.0000, max=0.9800 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1493 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0389, min=0.0000, max=0.9365 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.1316 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.9458 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.2849 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0376, min=0.0000, max=0.9595 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3010 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.8940 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.3977 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0434, min=0.0000, max=0.9800 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5586 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.9526 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.4646 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0531, min=0.0000, max=0.9658 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6221 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.5391 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4919 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0216, min=0.0000, max=0.7544 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3491 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0199, min=0.0000, max=0.4985 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.4937 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.7651 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3735 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0336, min=0.0000, max=0.9238 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4292 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0334, min=0.0000, max=0.9004 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3259 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0384, min=0.0000, max=0.8535 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.6221 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0370, min=0.0000, max=0.8887 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4473 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.8794 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2932 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0516, min=0.0000, max=0.8999 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.2942 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.4028 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0861 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.6128 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.1887 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0284, min=0.0000, max=0.5127 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0005, min=0.0000, max=0.0753 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0290, min=0.0000, max=0.5581 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0003, min=0.0000, max=0.1118 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0300, min=0.0000, max=0.4487 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0002, min=0.0000, max=0.0126 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0354, min=0.0000, max=0.5903 | |
| Timestep 961.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.7847 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0244, min=0.0000, max=0.6582 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1107 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.6812 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0007, min=0.0000, max=0.4963 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0294, min=0.0000, max=0.4783 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.6089 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.6733 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0061, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0325, min=0.0000, max=0.8735 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.6865 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0330, min=0.0000, max=0.9790 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.8232 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0393, min=0.0000, max=0.9946 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3640 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0357, min=0.0000, max=0.9380 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3264 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0445, min=0.0000, max=0.9927 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.1895 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0459, min=0.0000, max=0.9849 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3259 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0522, min=0.0000, max=0.8364 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3018 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0518, min=0.0000, max=0.8735 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1854 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0559, min=0.0000, max=0.9580 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0006, min=0.0000, max=0.1694 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0489, min=0.0000, max=0.9194 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.9077 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.9668 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3716 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0280, min=0.0000, max=0.9614 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2156 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2224 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.3105 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0448, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2086 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0521, min=0.0000, max=1.0000 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3093 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0427, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3391 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0480, min=0.0000, max=0.9971 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.3574 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0500, min=0.0000, max=0.9932 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.4673 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0498, min=0.0000, max=0.9199 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0035, min=0.0000, max=0.9575 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.7671 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5620 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0258, min=0.0000, max=0.9336 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0022, min=0.0000, max=0.4871 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0363, min=0.0000, max=0.9414 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.6558 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.6865 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.6211 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.8394 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.4407 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9536 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5732 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0339, min=0.0000, max=0.7373 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4587 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0380, min=0.0000, max=0.7402 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3247 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0417, min=0.0000, max=0.7148 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2502 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0458, min=0.0000, max=0.8955 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0050, min=0.0000, max=0.9043 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0263, min=0.0000, max=0.7637 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.4087 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0309, min=0.0000, max=0.9546 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2498 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0303, min=0.0000, max=0.9517 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3269 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.9282 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2399 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0340, min=0.0000, max=0.9941 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2374 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0267, min=0.0000, max=0.8843 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.1974 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0282, min=0.0000, max=0.7051 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2207 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0403, min=0.0000, max=0.9575 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2661 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0412, min=0.0000, max=0.9058 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3855 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0544, min=0.0000, max=0.9683 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2485 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0317, min=0.0000, max=0.9248 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.2262 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.9175 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.1393 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0374, min=0.0000, max=0.9814 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.1541 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.9385 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.1245 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0323, min=0.0000, max=0.9512 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0009, min=0.0000, max=0.2983 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0379, min=0.0000, max=0.9590 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2815 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.8984 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.3613 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9795 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5400 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0492, min=0.0000, max=0.9502 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5049 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0528, min=0.0000, max=0.9648 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0031, min=0.0000, max=0.6455 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0276, min=0.0000, max=0.5337 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.7095 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0220, min=0.0000, max=0.7471 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3337 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0205, min=0.0000, max=0.4968 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.4844 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0289, min=0.0000, max=0.7852 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3770 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.9238 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4729 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3127 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0385, min=0.0000, max=0.8564 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.6006 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0371, min=0.0000, max=0.8862 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.3779 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.8682 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2571 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0516, min=0.0000, max=0.8994 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0008, min=0.0000, max=0.3350 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0275, min=0.0000, max=0.3796 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.0853 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0308, min=0.0000, max=0.6016 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1899 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.5229 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.0678 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0291, min=0.0000, max=0.5474 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0003, min=0.0000, max=0.1034 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0298, min=0.0000, max=0.4458 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0002, min=0.0000, max=0.0107 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0352, min=0.0000, max=0.5952 | |
| Timestep 981.0: 140 attention activations recorded. | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.7705 | |
| Module down_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0245, min=0.0000, max=0.6479 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0003, min=0.0000, max=0.1073 | |
| Module down_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0344, min=0.0000, max=0.6865 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0006, min=0.0000, max=0.4692 | |
| Module down_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0296, min=0.0000, max=0.4875 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.5552 | |
| Module down_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.6792 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0060, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.8745 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.7168 | |
| Module down_blocks.2.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0329, min=0.0000, max=0.9795 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7725 | |
| Module down_blocks.2.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.9951 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3342 | |
| Module down_blocks.2.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0354, min=0.0000, max=0.9180 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.2505 | |
| Module down_blocks.2.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0442, min=0.0000, max=0.9927 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1892 | |
| Module down_blocks.2.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0457, min=0.0000, max=0.9805 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3267 | |
| Module down_blocks.2.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0521, min=0.0000, max=0.8345 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.3171 | |
| Module down_blocks.2.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0516, min=0.0000, max=0.8687 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.2319 | |
| Module down_blocks.2.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0557, min=0.0000, max=0.9580 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0006, min=0.0000, max=0.1476 | |
| Module down_blocks.2.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0485, min=0.0000, max=0.9209 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.9131 | |
| Module down_blocks.2.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0265, min=0.0000, max=0.9707 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3479 | |
| Module down_blocks.2.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0281, min=0.0000, max=0.9697 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.2086 | |
| Module down_blocks.2.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0381, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2023 | |
| Module down_blocks.2.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9995 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.2974 | |
| Module down_blocks.2.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0446, min=0.0000, max=0.9990 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.2191 | |
| Module down_blocks.2.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0527, min=0.0000, max=1.0000 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3064 | |
| Module down_blocks.2.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0432, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3411 | |
| Module down_blocks.2.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0480, min=0.0000, max=0.9985 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.2261 | |
| Module down_blocks.2.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0497, min=0.0000, max=0.9922 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0038, min=0.0000, max=0.4727 | |
| Module down_blocks.2.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0496, min=0.0000, max=0.9194 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0036, min=0.0000, max=0.9658 | |
| Module mid_block.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0346, min=0.0000, max=0.7603 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0023, min=0.0000, max=0.6353 | |
| Module mid_block.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0259, min=0.0000, max=0.9458 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.5059 | |
| Module mid_block.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0362, min=0.0000, max=0.9365 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0026, min=0.0000, max=0.6338 | |
| Module mid_block.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.7046 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.5732 | |
| Module mid_block.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0413, min=0.0000, max=0.8364 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0019, min=0.0000, max=0.3960 | |
| Module mid_block.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0433, min=0.0000, max=0.9570 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.6138 | |
| Module mid_block.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0338, min=0.0000, max=0.7319 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5693 | |
| Module mid_block.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.7339 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3264 | |
| Module mid_block.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0416, min=0.0000, max=0.7178 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.3218 | |
| Module mid_block.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0457, min=0.0000, max=0.8901 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0052, min=0.0000, max=0.8877 | |
| Module up_blocks.0.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0270, min=0.0000, max=0.7129 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0029, min=0.0000, max=0.5591 | |
| Module up_blocks.0.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0315, min=0.0000, max=0.9429 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2683 | |
| Module up_blocks.0.attentions.0.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0304, min=0.0000, max=0.9507 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.3450 | |
| Module up_blocks.0.attentions.0.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0349, min=0.0000, max=0.9492 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2722 | |
| Module up_blocks.0.attentions.0.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0341, min=0.0000, max=0.9932 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2238 | |
| Module up_blocks.0.attentions.0.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0264, min=0.0000, max=0.8921 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0013, min=0.0000, max=0.2478 | |
| Module up_blocks.0.attentions.0.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.7173 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2299 | |
| Module up_blocks.0.attentions.0.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0395, min=0.0000, max=0.9565 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.2554 | |
| Module up_blocks.0.attentions.0.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0409, min=0.0000, max=0.9126 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0014, min=0.0000, max=0.4258 | |
| Module up_blocks.0.attentions.0.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0544, min=0.0000, max=0.9678 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0021, min=0.0000, max=0.7334 | |
| Module up_blocks.0.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0320, min=0.0000, max=0.9307 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.2537 | |
| Module up_blocks.0.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.9150 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1332 | |
| Module up_blocks.0.attentions.1.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0378, min=0.0000, max=0.9839 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0008, min=0.0000, max=0.1135 | |
| Module up_blocks.0.attentions.1.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0401, min=0.0000, max=0.9414 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.1348 | |
| Module up_blocks.0.attentions.1.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0326, min=0.0000, max=0.9526 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.3008 | |
| Module up_blocks.0.attentions.1.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0383, min=0.0000, max=0.9595 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.2751 | |
| Module up_blocks.0.attentions.1.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0355, min=0.0000, max=0.9121 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0011, min=0.0000, max=0.3240 | |
| Module up_blocks.0.attentions.1.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0430, min=0.0000, max=0.9795 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0025, min=0.0000, max=0.5034 | |
| Module up_blocks.0.attentions.1.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0486, min=0.0000, max=0.9478 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.5317 | |
| Module up_blocks.0.attentions.1.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0525, min=0.0000, max=0.9644 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0010, std=0.0033, min=0.0000, max=0.9385 | |
| Module up_blocks.0.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0277, min=0.0000, max=0.5342 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0010, std=0.0020, min=0.0000, max=0.9639 | |
| Module up_blocks.0.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0228, min=0.0000, max=0.7666 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.2798 | |
| Module up_blocks.0.attentions.2.transformer_blocks.2.attn2 (cross attention): mean=0.0130, std=0.0214, min=0.0000, max=0.5132 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn1 (self attention): mean=0.0010, std=0.0012, min=0.0000, max=0.4836 | |
| Module up_blocks.0.attentions.2.transformer_blocks.3.attn2 (cross attention): mean=0.0130, std=0.0301, min=0.0000, max=0.8037 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.3154 | |
| Module up_blocks.0.attentions.2.transformer_blocks.4.attn2 (cross attention): mean=0.0130, std=0.0348, min=0.0000, max=0.9268 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn1 (self attention): mean=0.0010, std=0.0017, min=0.0000, max=0.4167 | |
| Module up_blocks.0.attentions.2.transformer_blocks.5.attn2 (cross attention): mean=0.0130, std=0.0345, min=0.0000, max=0.8989 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn1 (self attention): mean=0.0010, std=0.0015, min=0.0000, max=0.3438 | |
| Module up_blocks.0.attentions.2.transformer_blocks.6.attn2 (cross attention): mean=0.0130, std=0.0388, min=0.0000, max=0.8608 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn1 (self attention): mean=0.0010, std=0.0016, min=0.0000, max=0.6079 | |
| Module up_blocks.0.attentions.2.transformer_blocks.7.attn2 (cross attention): mean=0.0130, std=0.0372, min=0.0000, max=0.8823 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn1 (self attention): mean=0.0010, std=0.0018, min=0.0000, max=0.3447 | |
| Module up_blocks.0.attentions.2.transformer_blocks.8.attn2 (cross attention): mean=0.0130, std=0.0435, min=0.0000, max=0.8545 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn1 (self attention): mean=0.0010, std=0.0010, min=0.0000, max=0.3169 | |
| Module up_blocks.0.attentions.2.transformer_blocks.9.attn2 (cross attention): mean=0.0130, std=0.0516, min=0.0000, max=0.8984 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0009, min=0.0000, max=0.9165 | |
| Module up_blocks.1.attentions.0.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0274, min=0.0000, max=0.3601 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.1247 | |
| Module up_blocks.1.attentions.0.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0307, min=0.0000, max=0.5981 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.2666 | |
| Module up_blocks.1.attentions.1.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0283, min=0.0000, max=0.5396 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0004, min=0.0000, max=0.0909 | |
| Module up_blocks.1.attentions.1.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0292, min=0.0000, max=0.5278 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn1 (self attention): mean=0.0002, std=0.0002, min=0.0000, max=0.0892 | |
| Module up_blocks.1.attentions.2.transformer_blocks.0.attn2 (cross attention): mean=0.0130, std=0.0297, min=0.0000, max=0.4431 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn1 (self attention): mean=0.0002, std=0.0002, min=0.0000, max=0.0092 | |
| Module up_blocks.1.attentions.2.transformer_blocks.1.attn2 (cross attention): mean=0.0130, std=0.0350, min=0.0000, max=0.5942 | |
| Process finished with exit code 0 |
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