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AUTOMATIC1111/default-Falst-js_live_preview_in_modal_lightbox
default False js_live_preview_in_modal_lightbox
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change state dict comparison to ref compare
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AUTOMATIC1111/add-option-Live-preview-in-full-page-image-viewer
add option: Live preview in full page image viewer
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[IPEX] Fix embedding and ControlNet
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Re-add setting lost as part of e294e46
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Fix styles
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remove clean_text()
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Update launch_utils.py - fixes repetead package reinstalls
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Fixes failing dependency checks for extensions having a different package name and import name (for example ffmpeg-python / ffmpeg), which currently is causing the unneeded reinstall of packages at runtime.
In fact with current code, the same string is used when installing a package and when checking for its presence, as you can see in the following example:
> launch_utils.run_pip("install ffmpeg-python", "required package")
[ Installing required package: "ffmpeg-python" ... ]
[ Installed ]
> launch_utils.is_installed("ffmpeg-python")
False
... which would actually return true with:
> launch_utils.is_installed("ffmpeg")
True
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Add import_hook hack to work around basicsr/torchvision incompatibility
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Fixes #13985
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Fix `save_samples` being checked early when saving masked composite
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on hijack being applied
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Initial IPEX support for Intel Arc GPU
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batch images mode
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preprocessing upscale: do not do an extra upscale step if it's not needed
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dir buttons start with / so only the correct dir will be shown and no…
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with a substrings as name from the dir
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use extension name for determining an extension is installed in the index
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AUTOMATIC1111/protect-against-bad-ui-creation-scripts
catch uncaught exception with ui creation scripts
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prevent total webui crash
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Allow use of mutiple styles csv files
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* 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
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Update devices.py - Make 'use-cpu all' actually apply to 'all'
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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
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AUTOMATIC1111/fix-Auto-focal-point-crop-for-opencv-4.8.x
Fix auto focal point crop for opencv >= 4.8
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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
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AUTOMATIC1111/add-Block-component-creation-callback
add Block component creation callback
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Add FP32 fallback support on sd_vae_approx
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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```
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