Files
InvokeAI/docs/features/INPAINTING.md
Lincoln Stein 6f93dc7712 cleanup inpainting and img2img
- add a `--inpaint_replace` option that fills masked regions with
  latent noise. This allows radical changes to inpainted regions
  at the cost of losing context.
- fix up readline, arg processing and metadata writing to accommodate
  this change
- fixed bug in storage and retrieval of variations, discovered incidentally
  during testing
- update documentation
2022-10-16 08:50:55 -04:00

4.4 KiB

title
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Inpainting

:octicons-paintbrush-16: Inpainting

Creating Transparent Regions for Inpainting

Inpainting is really cool. To do it, you start with an initial image and use a photoeditor to make one or more regions transparent (i.e. they have a "hole" in them). You then provide the path to this image at the dream> command line using the -I switch. Stable Diffusion will only paint within the transparent region.

There's a catch. In the current implementation, you have to prepare the initial image correctly so that the underlying colors are preserved under the transparent area. Many imaging editing applications will by default erase the color information under the transparent pixels and replace them with white or black, which will lead to suboptimal inpainting. It often helps to apply incomplete transparency, such as any value between 1 and 99%

You also must take care to export the PNG file in such a way that the color information is preserved. There is often an option in the export dialog that lets you specify this.

If your photoeditor is erasing the underlying color information, dream.py will give you a big fat warning. If you can't find a way to coax your photoeditor to retain color values under transparent areas, then you can combine the -I and -M switches to provide both the original unedited image and the masked (partially transparent) image:

invoke> "man with cat on shoulder" -I./images/man.png -M./images/man-transparent.png

We are hoping to get rid of the need for this workaround in an upcoming release.

Inpainting is not changing the masked region enough!

One of the things to understand about how inpainting works is that it is equivalent to running img2img on just the masked (transparent) area. img2img builds on top of the existing image data, and therefore will attempt to preserve colors, shapes and textures to the best of its ability. Unfortunately this means that if you want to make a dramatic change in the inpainted region, for example replacing a red wall with a blue one, the algorithm will fight you.

You have a couple of options. The first is to increase the values of the requested steps (-sXXX), strength (-f0.XX), and/or condition-free guidance (-CXX.X). If this is not working for you, a more extreme step is to provide the --inpaint_replace option. This causes the algorithm to entirely ignore the data underneath the masked region and to treat this area like a blank canvas. This will enable you to replace colored regions entirely, but beware that the masked region will not blend in with the surrounding unmasked regions as well.


Recipe for GIMP

GIMP is a popular Linux photoediting tool.

  1. Open image in GIMP.
  2. Layer->Transparency->Add Alpha Channel
  3. Use lasoo tool to select region to mask
  4. Choose Select -> Float to create a floating selection
  5. Open the Layers toolbar (^L) and select "Floating Selection"
  6. Set opacity to a value between 0% and 99%
  7. Export as PNG
  8. In the export dialogue, Make sure the "Save colour values from transparent pixels" checkbox is selected.

Recipe for Adobe Photoshop

  1. Open image in Photoshop

step1

  1. Use any of the selection tools (Marquee, Lasso, or Wand) to select the area you desire to inpaint.

step2

  1. Because we'll be applying a mask over the area we want to preserve, you should now select the inverse by using the ++shift+ctrl+i++ shortcut, or right clicking and using the "Select Inverse" option.

  2. You'll now create a mask by selecting the image layer, and Masking the selection. Make sure that you don't delete any of the undrlying image, or your inpainting results will be dramatically impacted.

step4

  1. Make sure to hide any background layers that are present. You should see the mask applied to your image layer, and the image on your canvas should display the checkered background.

step5

  1. Save the image as a transparent PNG by using the "Save a Copy" option in the File menu, or using the Alt + Ctrl + S keyboard shortcut

step6

  1. After following the inpainting instructions above (either through the CLI or the Web UI), marvel at your newfound ability to selectively invoke. Lookin' good!

step7

  1. In the export dialogue, Make sure the "Save colour values from transparent pixels" checkbox is selected.