93 Commits

Author SHA1 Message Date
comfyanonymous
013f30bae9 Update SD3 code. 2024-10-28 21:58:52 -04:00
comfyanonymous
9f8e7912ef Basic Genmo Mochi video model support.
To use:
"Load CLIP" node with t5xxl + type mochi
"Load Diffusion Model" node with the mochi dit file.
"Load VAE" with the mochi vae file.

EmptyMochiLatentVideo node for the latent.
euler + linear_quadratic in the KSampler node.
2024-10-26 06:54:00 -04:00
contentis
e828617856 remove attention abstraction (#5324) 2024-10-22 14:02:38 -04:00
Jedrzej Kosinski
87ab41d767 Add emb_patch support to UNetModel forward (#4779) 2024-09-04 14:35:15 -04:00
comfyanonymous
48a1a6ef98 Unify RMSNorm code. 2024-08-28 16:56:38 -04:00
comfyanonymous
8e7aa23b6a ONNX tracing fixes. 2024-08-04 15:45:43 -04:00
comfyanonymous
36b0b2b215 Use common function for casting weights to input. 2024-07-30 10:49:14 -04:00
comfyanonymous
d0cc951625 Remove unnecessary code. 2024-07-30 05:01:34 -04:00
comfyanonymous
7f112b9d5d 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
ba8920ca60 Remove duplicate code. 2024-07-24 01:12:59 -04:00
comfyanonymous
0a433146b6 Basic SD3 controlnet implementation.
Still missing the node to properly use it.
2024-06-27 18:43:11 -04:00
comfyanonymous
97af65d0dc Small optimization. 2024-06-15 02:44:38 -04:00
comfyanonymous
b9aea52255 Fix lowvram issue. 2024-06-12 10:39:33 -04:00
Dango233
8c3b1af91f Remove redundancy in mmdit.py (#3685) 2024-06-11 06:30:25 -04:00
comfyanonymous
cc2f32af2c SD3 Support. 2024-06-10 14:06:23 -04:00
comfyanonymous
c19335f030 Cleanup. 2024-05-18 10:11:44 -04:00
comfyanonymous
fddf60ebb7 Remove unnecessary code. 2024-05-18 09:36:44 -04:00
comfyanonymous
d4db823cfe Only enable attention upcasting on models that actually need it. 2024-05-14 17:00:50 -04:00
comfyanonymous
9956e2b6e7 Switch some more prints to logging. 2024-03-11 16:34:58 -04:00
comfyanonymous
2e622719d7 Allow image_only_indicator to be None. 2024-02-29 13:11:30 -05:00
comfyanonymous
79e83f92e8 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
1cec78c95e Don't use numpy for calculating sigmas. 2024-02-07 18:52:51 -05:00
comfyanonymous
50fb52bc5b Remove some unused imports. 2024-01-25 23:42:37 -05:00
comfyanonymous
a36114ce30 Implement noise augmentation for SD 4X upscale model. 2024-01-03 14:27:11 -05:00
comfyanonymous
d41cf1e412 Remove useless code. 2024-01-02 01:50:29 -05:00
comfyanonymous
09dfd709f2 Fix lowvram mode not working with unCLIP and Revision code. 2023-12-26 05:02:02 -05:00
comfyanonymous
af134f6c64 Fix SVD lowvram mode. 2023-12-24 07:13:18 -05:00
comfyanonymous
5d2e2630ef A few missing comfy ops in the VAE. 2023-12-22 04:05:42 -05:00
comfyanonymous
98cc7883b7 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
080f5f4e84 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
03e65605de All the unet ops with weights are now handled by comfy.ops 2023-12-04 03:12:18 -05:00
comfyanonymous
e4900be7f3 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
5e4d60a231 Support SVD img2vid model. 2023-11-23 19:41:33 -05:00
comfyanonymous
cd49281bf8 Remove useless code. 2023-11-21 17:27:28 -05:00
comfyanonymous
7676c8f41a Make deep shrink behave like it should. 2023-11-16 15:26:28 -05:00
comfyanonymous
87d2cb7b0b Print warning when controlnet can't be applied instead of crashing. 2023-11-16 12:57:12 -05:00
comfyanonymous
f6333be536 Add a way to add patches to the input block. 2023-11-14 00:08:12 -05:00
comfyanonymous
0d52957c1d Fix typo. 2023-11-07 23:41:55 -05:00
comfyanonymous
cb22d11fc8 Code refactor. 2023-11-07 19:33:40 -05:00
comfyanonymous
397acd549a Fix unet ops not entirely on GPU. 2023-11-07 04:30:37 -05:00
comfyanonymous
d4bc91d58f Support SSD1B model and make it easier to support asymmetric unets. 2023-10-27 14:45:15 -04:00
comfyanonymous
459787f78f Make VAE code closer to sgm. 2023-10-17 15:18:51 -04:00
comfyanonymous
28b98a96d3 Refactor the attention stuff in the VAE. 2023-10-17 03:19:29 -04:00
comfyanonymous
728139a5b9 Refactor code so model can be a dtype other than fp32 or fp16. 2023-10-13 14:41:17 -04:00
comfyanonymous
494ddf7717 pytorch_attention_enabled can now return True when xformers is enabled. 2023-10-11 21:30:57 -04:00
comfyanonymous
c60864b5e4 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
a990441ba0 Add a way to set output block patches to modify the h and hsp. 2023-09-22 20:26:47 -04:00
comfyanonymous
ef0c0892f6 Add a force argument to soft_empty_cache to force a cache empty. 2023-09-04 00:58:18 -04:00
comfyanonymous
2ab478346d Remove optimization that caused border. 2023-08-29 11:21:36 -04:00
comfyanonymous
6932eda1fb Fallback to slice attention if xformers doesn't support the operation. 2023-08-27 22:24:42 -04:00