Commit Graph

91 Commits

Author SHA1 Message Date
kosinkadink1@gmail.com da6c0455cc Added forward_timestep_embed_patch type, added helper functions on ModelPatcher for emb_patch and forward_timestep_embed_patch, added helper functions for removing callbacks/wrappers/additional_models by key, added custom_should_register prop to hooks 2024-09-24 12:40:54 +09:00
Jedrzej Kosinski f04229b84d
Add emb_patch support to UNetModel forward (#4779) 2024-09-04 14:35:15 -04:00
comfyanonymous d31e226650 Unify RMSNorm code. 2024-08-28 16:56:38 -04:00
comfyanonymous 3b71f84b50 ONNX tracing fixes. 2024-08-04 15:45:43 -04:00
comfyanonymous 25853d0be8 Use common function for casting weights to input. 2024-07-30 10:49:14 -04:00
comfyanonymous 79040635da Remove unnecessary code. 2024-07-30 05:01:34 -04:00
comfyanonymous 66d35c07ce Improve artifacts on hydit, auraflow and SD3 on specific resolutions.
This breaks seeds for resolutions that are not a multiple of 16 in pixel
resolution by using circular padding instead of reflection padding but
should lower the amount of artifacts when doing img2img at those
resolutions.
2024-07-29 20:48:50 -04:00
comfyanonymous 10b43ceea5 Remove duplicate code. 2024-07-24 01:12:59 -04:00
comfyanonymous f8f7568d03 Basic SD3 controlnet implementation.
Still missing the node to properly use it.
2024-06-27 18:43:11 -04:00
comfyanonymous 1281f933c1 Small optimization. 2024-06-15 02:44:38 -04:00
comfyanonymous 605e64f6d3 Fix lowvram issue. 2024-06-12 10:39:33 -04:00
Dango233 73ce178021
Remove redundancy in mmdit.py (#3685) 2024-06-11 06:30:25 -04:00
comfyanonymous 8c4a9befa7 SD3 Support. 2024-06-10 14:06:23 -04:00
comfyanonymous 0bdc2b15c7 Cleanup. 2024-05-18 10:11:44 -04:00
comfyanonymous 98f828fad9 Remove unnecessary code. 2024-05-18 09:36:44 -04:00
comfyanonymous bb4940d837 Only enable attention upcasting on models that actually need it. 2024-05-14 17:00:50 -04:00
comfyanonymous 2a813c3b09 Switch some more prints to logging. 2024-03-11 16:34:58 -04:00
comfyanonymous cb7c3a2921 Allow image_only_indicator to be None. 2024-02-29 13:11:30 -05:00
comfyanonymous b3e97fc714 Koala 700M and 1B support.
Use the UNET Loader node to load the unet file to use them.
2024-02-28 12:10:11 -05:00
comfyanonymous c661a8b118 Don't use numpy for calculating sigmas. 2024-02-07 18:52:51 -05:00
comfyanonymous 89507f8adf Remove some unused imports. 2024-01-25 23:42:37 -05:00
comfyanonymous 8c6493578b Implement noise augmentation for SD 4X upscale model. 2024-01-03 14:27:11 -05:00
comfyanonymous 79f73a4b33 Remove useless code. 2024-01-02 01:50:29 -05:00
comfyanonymous 61b3f15f8f Fix lowvram mode not working with unCLIP and Revision code. 2023-12-26 05:02:02 -05:00
comfyanonymous d0165d819a Fix SVD lowvram mode. 2023-12-24 07:13:18 -05:00
comfyanonymous 261bcbb0d9 A few missing comfy ops in the VAE. 2023-12-22 04:05:42 -05:00
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.
2023-12-11 23:27:13 -05:00
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.
2023-12-04 11:10:00 -05:00
comfyanonymous af365e4dd1 All the unet ops with weights are now handled by comfy.ops 2023-12-04 03:12:18 -05:00
comfyanonymous 50dc39d6ec Clean up the extra_options dict for the transformer patches.
Now everything in transformer_options gets put in extra_options.
2023-11-26 03:13:56 -05:00
comfyanonymous 871cc20e13 Support SVD img2vid model. 2023-11-23 19:41:33 -05:00
comfyanonymous 72741105a6 Remove useless code. 2023-11-21 17:27:28 -05:00
comfyanonymous 7e3fe3ad28 Make deep shrink behave like it should. 2023-11-16 15:26:28 -05:00
comfyanonymous 7ea6bb038c Print warning when controlnet can't be applied instead of crashing. 2023-11-16 12:57:12 -05:00
comfyanonymous 94cc718e9c Add a way to add patches to the input block. 2023-11-14 00:08:12 -05:00
comfyanonymous 794dd2064d Fix typo. 2023-11-07 23:41:55 -05:00
comfyanonymous a527d0c795 Code refactor. 2023-11-07 19:33:40 -05:00
comfyanonymous 2a23ba0b8c Fix unet ops not entirely on GPU. 2023-11-07 04:30:37 -05:00
comfyanonymous 6ec3f12c6e Support SSD1B model and make it easier to support asymmetric unets. 2023-10-27 14:45:15 -04:00
comfyanonymous d44a2de49f Make VAE code closer to sgm. 2023-10-17 15:18:51 -04:00
comfyanonymous 23680a9155 Refactor the attention stuff in the VAE. 2023-10-17 03:19:29 -04:00
comfyanonymous 9a55dadb4c Refactor code so model can be a dtype other than fp32 or fp16. 2023-10-13 14:41:17 -04:00
comfyanonymous 88733c997f pytorch_attention_enabled can now return True when xformers is enabled. 2023-10-11 21:30:57 -04:00
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.
2023-10-11 20:38:48 -04:00
comfyanonymous afa2399f79 Add a way to set output block patches to modify the h and hsp. 2023-09-22 20:26:47 -04:00
comfyanonymous 1938f5c5fe Add a force argument to soft_empty_cache to force a cache empty. 2023-09-04 00:58:18 -04:00
comfyanonymous bed116a1f9 Remove optimization that caused border. 2023-08-29 11:21:36 -04:00
comfyanonymous 1c794a2161 Fallback to slice attention if xformers doesn't support the operation. 2023-08-27 22:24:42 -04:00
comfyanonymous d935ba50c4 Make --bf16-vae work on torch 2.0 2023-08-27 21:33:53 -04:00
comfyanonymous cf5ae46928 Controlnet/t2iadapter cleanup. 2023-08-22 01:06:26 -04:00