Last active
July 29, 2023 19:40
-
-
Save fladdict/2115eb7ea32c9245e4f45642553aa3e9 to your computer and use it in GitHub Desktop.
Improve Diffuser Pipeline / StableDiffusion Memory Management
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=True) | |
| pipe = pipe.to("cuda") | |
| img2imgPipe = StableDiffusionImg2ImgPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=True) | |
| img2imgPipe = img2imgPipe.to("cuda") | |
| inpaintingPipe = StableDiffusionInpaintingPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", revision="fp16", torch_dtype=torch.float16, use_auth_token=True) | |
| inpaintingPipe = inpaintingPipe.to("cuda") | |
| #Hack the instance to reduce memory | |
| #Pipes can share models | |
| img2imgPipe.vae = inpaintingPipe.vae = pipe.vae | |
| img2imgPipe.text_encoder = inpaintingPipe.text_encoder = pipe.text_encoder | |
| img2imgPipe.tokenizer = inpaintingPipe.tokenizer = pipe.tokenizer | |
| img2imgPipe.safety_checker = inpaintingPipe.safety_checker = pipe.safety_checker | |
| img2imgPipe.unet = inpaintingPipe.unet = pipe.unet | |
| img2imgPipe.feature_extractor = inpaintingPipe.feature_extractor = pipe.feature_extractor | |
| img2imgPipe.scheduler = inpaintingPipe.scheduler = pipe.scheduler |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Works for me; lowers memory consumption by about 20% and all 3 pipelines still work.