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Documentation updates for 2.2 release
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@ -120,7 +120,7 @@ A number of caveats:
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(`--iterations`) argument.
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3. Your results will be _much_ better if you use the `inpaint-1.5` model
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released by runwayML and installed by default by `scripts/preload_models.py`.
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released by runwayML and installed by default by `scripts/configure_invokeai.py`.
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This model was trained specifically to harmoniously fill in image gaps. The
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standard model will work as well, but you may notice color discontinuities at
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the border.
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@ -28,11 +28,11 @@ should "just work" without further intervention. Simply pass the `--upscale`
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the popup in the Web GUI.
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**GFPGAN** requires a series of downloadable model files to work. These are
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loaded when you run `scripts/preload_models.py`. If GFPAN is failing with an
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loaded when you run `scripts/configure_invokeai.py`. If GFPAN is failing with an
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error, please run the following from the InvokeAI directory:
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```bash
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python scripts/preload_models.py
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python scripts/configure_invokeai.py
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```
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If you do not run this script in advance, the GFPGAN module will attempt to
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@ -110,7 +110,7 @@ This repo also allows you to perform face restoration using
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[CodeFormer](https://github.com/sczhou/CodeFormer).
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In order to setup CodeFormer to work, you need to download the models like with
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GFPGAN. You can do this either by running `preload_models.py` or by manually
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GFPGAN. You can do this either by running `configure_invokeai.py` or by manually
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downloading the
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[model file](https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth)
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and saving it to `ldm/invoke/restoration/codeformer/weights` folder.
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