laksjdjf’s gists

laksjdjf / hyper_tile.py

Created October 3, 2023 11:27

	# ref:https://github.com/tfernd/HyperTile

	from einops import rearrange

	'''
	1. put this file in ComfyUI/custom_nodes
	2. load node from <loader>
	3. set nh and nw (2-4 is recommended. if 1 is set, it will be the same as original)
	'''

laksjdjf / ssd1b2sdxl

Last active October 26, 2023 05:35

	{'down_blocks.1.attentions.0.transformer_blocks.0': 'down_blocks.1.attentions.0.transformer_blocks.0',
	'down_blocks.1.attentions.0.transformer_blocks.1': 'down_blocks.1.attentions.0.transformer_blocks.1',
	'down_blocks.1.attentions.1.transformer_blocks.0': 'down_blocks.1.attentions.1.transformer_blocks.0',
	'down_blocks.1.attentions.1.transformer_blocks.1': 'down_blocks.1.attentions.1.transformer_blocks.1',
	'down_blocks.2.attentions.0.transformer_blocks.0': 'down_blocks.2.attentions.0.transformer_blocks.0',
	'down_blocks.2.attentions.0.transformer_blocks.1': 'down_blocks.2.attentions.0.transformer_blocks.1',
	'down_blocks.2.attentions.0.transformer_blocks.2': 'down_blocks.2.attentions.0.transformer_blocks.2',
	'down_blocks.2.attentions.0.transformer_blocks.3': 'down_blocks.2.attentions.0.transformer_blocks.6',
	'down_blocks.2.attentions.1.transformer_blocks.0': 'down_blocks.2.attentions.1.transformer_blocks.0',
	'down_blocks.2.attentions.1.transformer_blocks.1': 'down_blocks.2.attentions.1.transformer_block

laksjdjf / cads.py

Created November 6, 2023 15:20

	# ref:https://github.com/v0xie/sd-webui-cads

	'''
	1. put this file in ComfyUI/custom_nodes
	2. load node from <loader>
	'''

	import torch
	import numpy as np
	import copy

laksjdjf / pixart_transformer.txt

Created November 7, 2023 06:21

	================================================================================================================================================================
	Layer (type (var_name)) Input Shape Output Shape Param # Kernel Shape
	================================================================================================================================================================
	Transformer2DModel (Transformer2DModel) [1, 4, 32, 32] [1, 8, 32, 32] 2,304 --
	├─PatchEmbed (pos_embed) [1, 4, 32, 32] [1, 256, 1152] -- --
	│ └─Conv2d (proj) [1, 4, 32, 32] [1, 1152, 16, 16] 19,584 [2, 2]
	├─AdaLayerNormSingle (adaln_single) [1] [1, 6912] --

laksjdjf / kohya_hiresfix.py

Last active March 20, 2025 09:59

これ：https://gist.github.com/kohya-ss/3f774da220df102548093a7abc8538ed

	'''
	https://gist.github.com/kohya-ss/3f774da220df102548093a7abc8538ed
	1. put this file in ComfyUI/custom_nodes
	2. load node from <loaders>
	'''

	import torch
	from comfy.ldm.modules.diffusionmodules.openaimodel import forward_timestep_embed, timestep_embedding, th

	def apply_control(h, control, name):

laksjdjf / gradual_latent.py

Last active November 30, 2023 23:27

	import comfy
	from comfy.samplers import KSAMPLER
	import torch
	from comfy.k_diffusion.sampling import default_noise_sampler, get_ancestral_step, to_d, BrownianTreeNoiseSampler
	from tqdm.auto import trange

	@torch.no_grad()
	def sample_euler_ancestral(model, x, sigmas, extra_args=None, callback=None, disable=None, eta=1., s_noise=1., noise_sampler=None, upscale_ratio=2.0, start_step=5, end_step=15, upscale_n_step=3):
	"""Ancestral sampling with Euler method steps."""
	extra_args = {} if extra_args is None else extra_args

laksjdjf / gradual_latent.py

Last active December 1, 2023 13:36 — forked from kohya-ss/gradual_latent.py

	import comfy
	from comfy.samplers import KSAMPLER
	import torch
	from torchvision.transforms.functional import gaussian_blur
	from comfy.k_diffusion.sampling import default_noise_sampler, get_ancestral_step, to_d, BrownianTreeNoiseSampler
	from tqdm.auto import trange

	def interpolate(x, size, unsharp_strength=0.0, unsharp_kernel_size=3, unsharp_sigma=0.5, unsharp=False, mode="bicubic", align_corners=False):
	x = torch.nn.functional.interpolate(x, size=size, mode=mode, align_corners=align_corners)
	if unsharp_strength > 0 and unsharp:

laksjdjf / DeepCache.py

Last active February 17, 2025 06:12

https://arxiv.org/abs/2312.00858

	'''
	https://arxiv.org/abs/2312.00858
	1. put this file in ComfyUI/custom_nodes
	2. load node from <loaders>

	start_step, end_step: apply this method when the timestep is between start_step and end_step
	cache_interval: interval of caching (1 means no caching)
	cache_depth: depth of caching
	'''

laksjdjf / LCMSamplerRCFG.py

Last active December 21, 2023 12:02

Implementation of RCFG in https://arxiv.org/abs/2312.12491

	'''
	Implementation of RCFG in https://arxiv.org/abs/2312.12491
	Node is in sampling/custom_sampling/samplers
	original_latent is OPTIONAL
	If original_latent is set, it is Self-Negative else Onetime-Negative
	cfg is recommendet near 1.0 (KSAMPLER"s cfg is ignored)
	delta is よくわかんない
	'''

	from comfy.samplers import KSAMPLER

laksjdjf / text_scheduler.py

Created February 12, 2024 08:15

	'''
	load from sampling/custom_sampling/scheulers
	input text like "999,893,...,156"
	connect to SamplerCustom
	'''

	import torch

	class TextScheduler:
	@classmethod