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AUTOMATIC1111 2022-10-21 09:19:07 +03:00
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Features.md

@ -34,6 +34,15 @@ Options for inpainting:
- erase a part of the picture in an external editor and upload a transparent picture. Any even slightly transparent areas will become part of the mask. Be aware that [some editors](https://docs.krita.org/en/reference_manual/layers_and_masks/split_alpha.html#how-to-save-a-png-texture-and-keep-color-values-in-fully-transparent-areas) save completely transparent areas as black by default. - erase a part of the picture in an external editor and upload a transparent picture. Any even slightly transparent areas will become part of the mask. Be aware that [some editors](https://docs.krita.org/en/reference_manual/layers_and_masks/split_alpha.html#how-to-save-a-png-texture-and-keep-color-values-in-fully-transparent-areas) save completely transparent areas as black by default.
- change mode (to the bottom right of the picture) to "Upload mask" and choose a separate black and white image for the mask (white=inpaint). - change mode (to the bottom right of the picture) to "Upload mask" and choose a separate black and white image for the mask (white=inpaint).
## Inpainting model
RunwayML has trained an additional model specifically designed for inpainting. This model accepts additional inputs - the initial image without noise plus the mask - and seems to be much better at the job.
Download and extra info for the model is here: https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion
To use the model, you must rename the checkpoint so that its filename ends in `inpainting.ckpt`, for example, `1.5-inpainting.ckpt`.
After that just select the checkpoint as you'd usually select any checkpoint and you're good to go.
## Masked content ## Masked content
The masked content field determines content is placed to put into the masked regions before they are inpainted. The masked content field determines content is placed to put into the masked regions before they are inpainted.