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Signed-off-by: zhaohu xing <920232796@qq.com>
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Signed-off-by: zhaohu xing <920232796@qq.com>
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Signed-off-by: zhaohu xing <920232796@qq.com>
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with different models ending up with incorrect results #5877 #6012
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fix(api): only begin/end state in lock
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Add memory cache for VAE weights
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fix rgba to rgb when using jpeg output
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add additional memory states
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remove unnecessary console message
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Add CSS classes for the settings panels
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Fix F541: f-string without any placeholders
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Fix clip interrogate from the webui
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A recent change made the image RGBA, which makes the clip interrogator unhappy.
deepbooru and calling the interrogator from the api already do the conversion so this is the only place that needed it.
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implement train api
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load_with_extra
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fix(api): don't save extras output to disk
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Add an option for faster low quality previews
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extensions to override it
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Commit eba60a4 is what is causing this error, delete the length check in sd_model starting at line 115 and it's fine.
https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/5971#issuecomment-1364507379
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fix: fallback model_checkpoint if it's empty
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This fixes the following error when SD attempts to start with a deleted checkpoint:
```
Traceback (most recent call last):
File "D:\Web\stable-diffusion-webui\launch.py", line 295, in <module>
start()
File "D:\Web\stable-diffusion-webui\launch.py", line 290, in start
webui.webui()
File "D:\Web\stable-diffusion-webui\webui.py", line 132, in webui
initialize()
File "D:\Web\stable-diffusion-webui\webui.py", line 62, in initialize
modules.sd_models.load_model()
File "D:\Web\stable-diffusion-webui\modules\sd_models.py", line 283, in load_model
checkpoint_info = checkpoint_info or select_checkpoint()
File "D:\Web\stable-diffusion-webui\modules\sd_models.py", line 117, in select_checkpoint
checkpoint_info = checkpoints_list.get(model_checkpoint, None)
TypeError: unhashable type: 'list'
```
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API endpoint to refresh checkpoints
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API endpoint to refresh checkpoints
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Better should_hijack_inpainting detection
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Save hypernetwork hash and fix hypernetwork parameter restoring
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Add latent upscale option to img2img
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Recently, the option to do latent upscale was added to txt2img highres
fix. This feature runs by scaling the latent sample of the image, and
then running a second pass of img2img.
But, in this edition of highres fix, the image and parameters cannot be
changed between the first pass and second pass. We might want to do a
fixup in img2img before doing the second pass, or might want to run the
second pass at a different resolution.
This change adds the option for img2img to perform its upscale in latent
space, rather than image space, giving very similar results to highres
fix with latent upscale. The result is not exactly the same because
there is an additional latent -> decoder -> image -> encoder -> latent
that won't happen in highres fix, but this conversion has relatively
small losses
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