Age | Commit message (Collapse) | Author | Lines | |
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2023-11-28 | Added UI elements to control blending parameters. | CodeHatchling | -5/+82 | |
2023-11-28 | Nerfs the aggressive post-processing step of overlaying the original image. | CodeHatchling | -3/+11 | |
2023-11-28 | Implements "scheduling" for blending of the original latents and a latent ↵ | CodeHatchling | -2/+59 | |
blending formula that preserves details in blend transition areas. | ||||
2023-11-28 | Removed conflicting step that replaces the softly inpainted latents with a ↵ | CodeHatchling | -3/+0 | |
naive blend with the original latents. | ||||
2023-11-28 | Removed code which forces the inpainting mask to be 0 or 1. Now fractional ↵ | CodeHatchling | -5/+1 | |
values (e.g. 0.5) are accepted. | ||||
2023-11-29 | Fix the Ruff error about unused import | hidenorly | -1/+0 | |
2023-11-29 | Add FP32 fallback support on torch.nn.functional.interpolate | hidenorly | -0/+16 | |
This tries to execute interpolate with FP32 if it failed. Background is that on some environment such as Mx chip MacOS devices, we get error as follows: ``` "torch/nn/functional.py", line 3931, in interpolate return torch._C._nn.upsample_nearest2d(input, output_size, scale_factors) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: "upsample_nearest2d_channels_last" not implemented for 'Half' ``` In this case, ```--no-half``` doesn't help to solve. Therefore this commits add the FP32 fallback execution to solve it. Note that the ```upsample_nearest2d``` is called from ```torch.nn.functional.interpolate```. And the fallback for torch.nn.functional.interpolate is necessary at ```modules/sd_vae_approx.py``` 's ```VAEApprox.forward``` ```repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py``` 's ```Upsample.forward``` | ||||
2023-11-29 | Revert "Add FP32 fallback support on sd_vae_approx" | hidenorly | -7/+1 | |
This reverts commit 58c19545c83fa6925c9ce2216ee64964eb5129ce. Since the modification is expected to move to mac_specific.py (https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/14046#issuecomment-1826731532) | ||||
2023-11-28 | reformat file with uniform indentation | w-e-w | -104/+106 | |
2023-11-28 | fix Auto focal point crop for opencv >= 4.8.x | w-e-w | -15/+18 | |
autocrop.download_and_cache_models in opencv >= 4.8 the face detection model was updated download the base on opencv version returns the model path or raise exception | ||||
2023-11-27 | Update devices.py | obsol | -1/+1 | |
fixes issue where "--use-cpu" all properly makes SD run on CPU but leaves ControlNet (and other extensions, I presume) pointed at GPU, causing a crash in ControlNet caused by a mismatch between devices between SD and CN https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/14097 | ||||
2023-11-27 | hypertile_xyz: we don't need isnumeric check for AxisOption | aria1th | -3/+0 | |
2023-11-27 | fix ruff - set comprehension | aria1th | -2/+2 | |
2023-11-27 | fix ruff in hypertile_xyz.py | aria1th | -2/+2 | |
2023-11-27 | cache divisors / fix ruff | aria1th | -18/+26 | |
2023-11-27 | Merge branch 'dev' of https://github.com/cjj1977/stable-diffusion-webui into dev | Charlie Joynt | -0/+0 | |
2023-11-27 | Support XYZ scripts / split hires path from unet | aria1th | -3/+60 | |
2023-11-27 | Allow use of mutiple styles csv files | Charlie Joynt | -32/+171 | |
* https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/14122 Fix edge case where style text has multiple {prompt} placeholders * https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/14005 | ||||
2023-11-27 | bugfix for warning message (#6) | MisterSeajay | -1/+1 | |
* bugfix for warning message * bugfix error message | ||||
2023-11-27 | bugfix for warning message (#6) | MisterSeajay | -1/+1 | |
2023-11-27 | Allow use of mutiple styles csv files | Charlie Joynt | -32/+171 | |
2023-11-27 | catch uncaught exception with ui creation scripts | w-e-w | -25/+29 | |
prevent total webui crash | ||||
2023-11-27 | add Block component creation callback | w-e-w | -0/+10 | |
2023-11-26 | also consider extension url | Jabasukuriputo Wang | -1/+2 | |
2023-11-26 | add categories to settings | AUTOMATIC1111 | -28/+130 | |
2023-11-26 | Merge pull request #14108 from AUTOMATIC1111/json.dump(ensure_ascii=False) | AUTOMATIC1111 | -5/+5 | |
json.dump(ensure_ascii=False) | ||||
2023-11-26 | json.dump(ensure_ascii=False) | w-e-w | -5/+5 | |
improve json readability | ||||
2023-11-26 | compact prompt layout: preserve scroll when switching between lora tabs | AUTOMATIC1111 | -3/+18 | |
2023-11-26 | Merge branch 'dev' into test-fp8 | Kohaku-Blueleaf | -73/+664 | |
2023-11-26 | update torch to 2.1.0 | AUTOMATIC1111 | -6/+6 | |
2023-11-26 | Merge pull request #13936 from cabelo/compatibility | AUTOMATIC1111 | -3/+5 | |
Compatibility | ||||
2023-11-26 | Merge pull request #14059 from akx/upruff | AUTOMATIC1111 | -2/+3 | |
Update Ruff to 0.1.6 | ||||
2023-11-26 | fix linter errors | AUTOMATIC1111 | -3/+0 | |
2023-11-26 | do not save HTML explanations from options page to config | AUTOMATIC1111 | -2/+2 | |
2023-11-26 | Merge pull request #14084 from wfjsw/move-from-sysinfo-to-errors | AUTOMATIC1111 | -19/+17 | |
Move exception_records related methods to errors.py | ||||
2023-11-26 | Merge branch 'hypertile-in-sample' into dev | AUTOMATIC1111 | -154/+186 | |
2023-11-26 | Merge pull request #13948 from aria1th/hypertile-in-sample | AUTOMATIC1111 | -19/+404 | |
support HyperTile optimization | ||||
2023-11-26 | rework hypertile into a built-in extension | AUTOMATIC1111 | -154/+186 | |
2023-11-26 | move file | AUTOMATIC1111 | -0/+0 | |
2023-11-25 | Fix pre-fp8 | Kohaku-Blueleaf | -1/+1 | |
2023-11-24 | remove traceback in sysinfo | Jabasukuriputo Wang | -1/+0 | |
2023-11-24 | Move exception_records related methods to errors.py | Jabasukuriputo Wang | -18/+17 | |
2023-11-22 | use extension name for determining an extension is installed in the index | wfjsw | -6/+8 | |
2023-11-22 | Simplify restart_sampler (suggested by ruff) | Aarni Koskela | -1/+1 | |
2023-11-22 | Update ruff to 0.1.6 | Aarni Koskela | -1/+2 | |
2023-11-22 | Add forced reload for fp16 cache | Kohaku-Blueleaf | -1/+1 | |
2023-11-21 | Option for using fp16 weight when apply lora | Kohaku-Blueleaf | -7/+25 | |
2023-11-21 | fix [Bug]: (Dev Branch) Placing "Dimensions" first in "ui_reorder_list" ↵ | AUTOMATIC1111 | -6/+6 | |
prevents start #14047 | ||||
2023-11-21 | Add FP32 fallback support on sd_vae_approx | hidenorly | -1/+7 | |
This tries to execute interpolate with FP32 if it failed. Background is that on some environment such as Mx chip MacOS devices, we get error as follows: ``` "torch/nn/functional.py", line 3931, in interpolate return torch._C._nn.upsample_nearest2d(input, output_size, scale_factors) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ RuntimeError: "upsample_nearest2d_channels_last" not implemented for 'Half' ``` In this case, ```--no-half``` doesn't help to solve. Therefore this commits add the FP32 fallback execution to solve it. Note that the submodule may require additional modifications. The following is the example modification on the other submodule. ```repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py class Upsample(nn.Module): ..snip.. def forward(self, x): assert x.shape[1] == self.channels if self.dims == 3: x = F.interpolate( x, (x.shape[2], x.shape[3] * 2, x.shape[4] * 2), mode="nearest" ) else: try: x = F.interpolate(x, scale_factor=2, mode="nearest") except: x = F.interpolate(x.to(th.float32), scale_factor=2, mode="nearest").to(x.dtype) if self.use_conv: x = self.conv(x) return x ..snip.. ``` You can see the FP32 fallback execution as same as sd_vae_approx.py. | ||||
2023-11-20 | added option for default behavior of dir buttons | Tom Haelbich | -2/+8 | |