ComfyUI

Author	SHA1	Message	Date
comfyanonymous	31b0f6f3d8	UNET weights can now be stored in fp8. --fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats supported by pytorch.	12 months ago
comfyanonymous	af365e4dd1	All the unet ops with weights are now handled by comfy.ops	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	871cc20e13	Support SVD img2vid model.	1 year ago
comfyanonymous	72741105a6	Remove useless code.	1 year ago
comfyanonymous	7e3fe3ad28	Make deep shrink behave like it should.	1 year ago
comfyanonymous	7ea6bb038c	Print warning when controlnet can't be applied instead of crashing.	1 year ago
comfyanonymous	94cc718e9c	Add a way to add patches to the input block.	1 year ago
comfyanonymous	794dd2064d	Fix typo.	1 year ago
comfyanonymous	a527d0c795	Code refactor.	1 year ago
comfyanonymous	6ec3f12c6e	Support SSD1B model and make it easier to support asymmetric unets.	1 year ago
comfyanonymous	9a55dadb4c	Refactor code so model can be a dtype other than fp32 or fp16.	1 year ago
comfyanonymous	afa2399f79	Add a way to set output block patches to modify the h and hsp.	1 year ago
comfyanonymous	cf5ae46928	Controlnet/t2iadapter cleanup.	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	2b13939044	Remove some useless code.	1 year ago
comfyanonymous	4b957a0010	Initialize the unet directly on the target device.	1 year ago
comfyanonymous	ddc6f12ad5	Disable autocast in unet for increased speed.	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	ae43f09ef7	All the unet weights should now be initialized with the right dtype.	1 year ago
comfyanonymous	7bf89ba923	Initialize more unet weights as the right dtype.	1 year ago
comfyanonymous	e21d9ad445	Initialize transformer unet block weights in right dtype at the start.	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	ba8a4c3667	Change latent resolution step to 8.	2 years ago
comfyanonymous	66c8aa5c3e	Make unet work with any input shape.	2 years ago
comfyanonymous	3696d1699a	Add support for GLIGEN textbox model.	2 years ago
comfyanonymous	809bcc8ceb	Add support for unCLIP SD2.x models. See _for_testing/unclip in the UI for the new nodes. unCLIPCheckpointLoader is used to load them. unCLIPConditioning is used to add the image cond and takes as input a CLIPVisionEncode output which has been moved to the conditioning section.	2 years ago
comfyanonymous	61ec3c9d5d	Add a way to pass options to the transformers blocks.	2 years ago
comfyanonymous	54dbfaf2ec	Remove omegaconf dependency and some ci changes.	2 years ago
comfyanonymous	fcb25d37db	Prepare for t2i adapter.	2 years ago
comfyanonymous	09f1d76ed8	Fix an OOM issue.	2 years ago
comfyanonymous	4efa67fa12	Add ControlNet support.	2 years ago
comfyanonymous	1f6a467e92	Update ldm dir with latest upstream stable diffusion changes.	2 years ago
comfyanonymous	220afe3310	Initial commit.	2 years ago

37 Commits (b0aab1e4ea3dfefe09c4f07de0e5237558097e22)