ComfyUI

Author	SHA1	Message	Date
comfyanonymous	a5056cfb1f	Remove useless code.	11 months ago
comfyanonymous	77755ab8db	Refactor comfy.ops comfy.ops -> comfy.ops.disable_weight_init This should make it more clear what they actually do. Some unused code has also been removed.	11 months ago
comfyanonymous	fbdb14d4c4	Cleaner CLIP text encoder implementation. Use a simple CLIP model implementation instead of the one from transformers. This will allow some interesting things that would too hackish to implement using the transformers implementation.	12 months ago
comfyanonymous	1bbd65ab30	Missed this one.	12 months ago
comfyanonymous	af365e4dd1	All the unet ops with weights are now handled by comfy.ops	12 months ago
comfyanonymous	39e75862b2	Fix regression from last commit.	12 months ago
comfyanonymous	50dc39d6ec	Clean up the extra_options dict for the transformer patches. Now everything in transformer_options gets put in extra_options.	12 months ago
comfyanonymous	3e5ea74ad3	Make buggy xformers fall back on pytorch attention.	1 year ago
comfyanonymous	871cc20e13	Support SVD img2vid model.	1 year ago
comfyanonymous	c837a173fa	Fix some memory issues in sub quad attention.	1 year ago
comfyanonymous	125b03eead	Fix some OOM issues with split attention.	1 year ago
comfyanonymous	a373367b0c	Fix some OOM issues with split and sub quad attention.	1 year ago
comfyanonymous	8b65f5de54	attention_basic now works with hypertile.	1 year ago
comfyanonymous	e6bc42df46	Make sub_quad and split work with hypertile.	1 year ago
comfyanonymous	9906e3efe3	Make xformers work with hypertile.	1 year ago
comfyanonymous	bb064c9796	Add a separate optimized_attention_masked function.	1 year ago
comfyanonymous	ac7d8cfa87	Allow attn_mask in attention_pytorch.	1 year ago
comfyanonymous	1a4bd9e9a6	Refactor the attention functions. There's no reason for the whole CrossAttention object to be repeated when only the operation in the middle changes.	1 year ago
comfyanonymous	fff491b032	Model patches can now know which batch is positive and negative.	1 year ago
comfyanonymous	1938f5c5fe	Add a force argument to soft_empty_cache to force a cache empty.	1 year ago
Simon Lui	4a0c4ce4ef	Some fixes to generalize CUDA specific functionality to Intel or other GPUs.	1 year ago
comfyanonymous	0e3b641172	Remove xformers related print.	1 year ago
comfyanonymous	b80c3276dc	Fix issue with gligen.	1 year ago
comfyanonymous	d6e4b342e6	Support for Control Loras. Control loras are controlnets where some of the weights are stored in "lora" format: an up and a down low rank matrice that when multiplied together and added to the unet weight give the controlnet weight. This allows a much smaller memory footprint depending on the rank of the matrices. These controlnets are used just like regular ones.	1 year ago
comfyanonymous	4b957a0010	Initialize the unet directly on the target device.	1 year ago
comfyanonymous	9ba440995a	It's actually possible to torch.compile the unet now.	1 year ago
comfyanonymous	ddc6f12ad5	Disable autocast in unet for increased speed.	1 year ago
comfyanonymous	103c487a89	Cleanup.	1 year ago
comfyanonymous	78d8035f73	Fix bug with controlnet.	1 year ago
comfyanonymous	05676942b7	Add some more transformer hooks and move tomesd to comfy_extras. Tomesd now uses q instead of x to decide which tokens to merge because it seems to give better results.	1 year ago
comfyanonymous	f87ec10a97	Support base SDXL and SDXL refiner models. Large refactor of the model detection and loading code.	1 year ago
comfyanonymous	9fccf4aa03	Add original_shape parameter to transformer patch extra_options.	1 year ago
comfyanonymous	8883cb0f67	Add a way to set patches that modify the attn2 output. Change the transformer patches function format to be more future proof.	1 year ago
comfyanonymous	ae43f09ef7	All the unet weights should now be initialized with the right dtype.	1 year ago
comfyanonymous	e21d9ad445	Initialize transformer unet block weights in right dtype at the start.	1 year ago
comfyanonymous	9d54066ebc	This isn't needed for inference.	1 year ago
comfyanonymous	6971646b8b	Speed up model loading a bit. Default pytorch Linear initializes the weights which is useless and slow.	1 year ago
comfyanonymous	cb1551b819	Lowvram mode for gligen and fix some lowvram issues.	2 years ago
comfyanonymous	bae4fb4a9d	Fix imports.	2 years ago
comfyanonymous	5282f56434	Implement Linear hypernetworks. Add a HypernetworkLoader node to use hypernetworks.	2 years ago
comfyanonymous	6908f9c949	This makes pytorch2.0 attention perform a bit faster.	2 years ago
comfyanonymous	3696d1699a	Add support for GLIGEN textbox model.	2 years ago
comfyanonymous	73c3e11e83	Fix model_management import so it doesn't get executed twice.	2 years ago
EllangoK	e5e587b1c0	seperates out arg parser and imports args	2 years ago
comfyanonymous	18a6c1db33	Add a TomePatchModel node to the _for_testing section. Tome increases sampling speed at the expense of quality.	2 years ago
comfyanonymous	61ec3c9d5d	Add a way to pass options to the transformers blocks.	2 years ago
comfyanonymous	3ed4a4e4e6	Try again with vae tiled decoding if regular fails because of OOM.	2 years ago
comfyanonymous	83f23f82b8	Add pytorch attention support to VAE.	2 years ago
comfyanonymous	a256a2abde	--disable-xformers should not even try to import xformers.	2 years ago
comfyanonymous	0f3ba7482f	Xformers is now properly disabled when --cpu used. Added --windows-standalone-build option, currently it only opens makes the code open up comfyui in the browser.	2 years ago

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59 Commits (af94eb14e3b44f6e6c48a7762a5e229cf3a006e4)