lllyasviel/stable-diffusion-webui-forge
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8,159 Commits 3 Branches 3 Tags
9b4922cfca8924efcbc35c19093cbfa6e600f88c
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322 Commits

Author SHA1 Message Date
layerdiffusion
20e1ba4a82 fix 2024-08-08 15:08:20 -07:00
lllyasviel
6921420b3f Load Model only when click Generate 
#964
 2024-08-08 14:51:13 -07:00
layerdiffusion
91f3f628bd add note to Tiling 2024-08-08 13:33:03 -07:00
layerdiffusion
a91a81d8e6 revise structure 2024-08-07 20:44:34 -07:00
layerdiffusion
015587ca59 Delete unet_patcher.py 2024-08-07 20:36:40 -07:00
layerdiffusion
002341af5b fix controlnet 
#961
 2024-08-07 19:21:05 -07:00
layerdiffusion
b57573c8da Implement many kernels from scratch 2024-08-06 20:19:03 -07:00
layerdiffusion
78e25a8bae Update shared_options.py 2024-08-06 16:49:53 -07:00
lllyasviel
71c94799d1 diffusion in fp8 landed 2024-08-06 16:47:39 -07:00
layerdiffusion
dd8997ee2e use binder 2024-08-06 15:31:19 -07:00
layerdiffusion
5f908c2bf3 add forge opts section 2024-08-06 15:11:40 -07:00
layerdiffusion
b4ca5d7420 model load entry for all model loads from webui 
including startup, checkpoint selection, and that HTML tab of some preview images
 2024-08-06 14:38:40 -07:00
layerdiffusion
6d789653b9 better model load logic 2024-08-06 14:34:57 -07:00
layerdiffusion
1e8c0f3436 change name 2024-08-06 14:05:56 -07:00
lllyasviel
71eaa5ca12 rework UI so that the toolbar is managed by Forge 2024-08-06 13:54:06 -07:00
layerdiffusion
4189045323 old backend removal - part 1 2024-08-05 03:15:44 -07:00
layerdiffusion
0863765173 rework sd1.5 and sdxl from scratch 2024-08-05 03:08:17 -07:00
layerdiffusion
0091e82f53 remove old stuff 2024-08-04 18:45:31 -07:00
layerdiffusion
a72154405e Text Processing Engine is Finished 
100% reproduce all previous results, including TI embeddings, LoRAs in CLIP, emphasize settings, BREAK, timestep swap scheduling, AB mixture, advanced uncond, etc
Backend is 85% finished
 2024-08-04 18:42:51 -07:00
layerdiffusion
430482d1a0 fix cast 2024-08-03 16:08:22 -07:00
layerdiffusion
8c087f920e rename files 2024-08-03 15:54:39 -07:00
layerdiffusion
a5265df7f4 rename file 2024-08-03 15:51:04 -07:00
layerdiffusion
3ecdcee5a8 add sampler 2024-08-03 15:46:27 -07:00
layerdiffusion
b8b29a2372 remove forge_sampler 2024-08-03 15:38:07 -07:00
layerdiffusion
4add428e25 move to new backend - part 2 2024-08-03 15:10:37 -07:00
layerdiffusion
bb5083f3c2 rework sample function 2024-08-03 13:27:23 -07:00
layerdiffusion
0871870342 Update supported_controlnet.py 2024-08-03 12:52:32 -07:00
layerdiffusion
e722991752 control rework 2024-08-02 22:17:27 -07:00
layerdiffusion
6ed95d66e5 rework several component patcher 
backend is 65% finished
 2024-08-02 14:56:57 -07:00
layerdiffusion
d1b8a2676d rework lora and patching system 
and dora etc - backend rework is 60% finished
And I also removed the webui’s extremely annoying lora filter from model versions.
 2024-08-02 13:45:26 -07:00
layerdiffusion
f367b07282 fix gradio url timeout 
#909
 2024-08-02 11:46:36 -07:00
layerdiffusion
e5860a4999 move stream file 2024-08-02 03:37:22 -07:00
layerdiffusion
3dd084d55b more attention types 2024-08-02 03:37:21 -07:00
layerdiffusion
f6981339b0 predictor is a better name 2024-08-01 21:29:34 -07:00
layerdiffusion
bc9977a305 UNet from Scratch 
Now backend rewrite is about 50% finished.
Estimated finish is in 72 hours.
After that, many newer features will land.
 2024-08-01 21:19:41 -07:00
continue revolution
5192e912ab GroupNorm patcher (#593) 
* add gn wrapper and corresponding patcher

* add gn wrapper and corresponding patcher
 2024-08-01 12:53:27 -07:00
layerdiffusion
4d1be42975 Intergrate CLIP 2024-08-01 12:27:20 -07:00
layerdiffusion
0d079a846d Intergrate Native AutoEncoderKL 2024-07-31 21:10:19 -07:00
layerdiffusion
c8156fcf41 rework model loader and configs 2024-07-30 13:27:26 -06:00
layerdiffusion
40dd61ba6c improve vae key mapping 2024-07-30 09:23:58 -06:00
layerdiffusion
dc62b0d2d7 begin to use new vae impl 2024-07-30 08:43:14 -06:00
layerdiffusion
37386592ad version 2024-07-28 08:08:28 -06:00
layerdiffusion
918c6af162 upgrade js canvas for #881 2024-07-28 08:07:37 -06:00
layerdiffusion
2f87f123b2 less aggressive clip skip 
to make CivitAI pony image meta works better
 2024-07-27 13:23:39 -07:00
layerdiffusion
6eb23c6d09 fix #861 2024-07-27 07:52:20 -07:00
layerdiffusion
7e31721803 fix #861 2024-07-27 07:50:59 -07:00
layerdiffusion
3ba632b64b version 2024-07-27 06:54:05 -07:00
layerdiffusion
0ba9f7f399 Clip Skip to All Models 
Technically Correct Implementation of CLIP skip for all models.
Automatic1111 uses a weird logic to ignore SDXL clip skip but added an option to only set CLIP-L Skip with an offset 1, which means if one set skip as 3, then the SDXL CLIP G does not skip but SDXL CLIP L uses 3-1=2 as skip (not 3?!)
Forge now uses technically correct and consistent clip skip for all models. Forge now outweigh technical correctness over reproducing Auto results.
But one can get same results by just do not set clip skip for SDXL.
 2024-07-27 05:46:53 -07:00
layerdiffusion
1673a5ac2d Perturbed Attention Guidance Integrated 2024-07-26 15:00:31 -07:00
layerdiffusion
c2bfa6f6a3 fix gradio 2024-07-26 13:08:15 -07:00