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refactor how postprocessors work
- similar call structures for outpainting, outcropping and face restoration modules - added documentation for outcropping - post-processing steps now leave a provenance chain (of sorts) in the sd-metadata field: ~~~ scripts/sd-metadata.py outputs/img-samples/curly.942491079.upscale.png outputs/img-samples/curly.942491079.upscale.png: { "model": "stable diffusion", "model_id": "stable-diffusion-1.4", "model_hash": "fe4efff1e174c627256e44ec2991ba279b3816e364b49f9be2abc0b3ff3f8556", "app_id": "lstein/stable-diffusion", "app_version": "v1.15", "image": { "height": 512, "width": 512, "steps": 50, "cfg_scale": 7.5, "seed": 942491079, "prompt": [ { "prompt": "pretty curly-haired redhead woman", "weight": 1.0 } ], "postprocessing": [ { "tool": "outcrop", "dream_command": "!fix \"test-pictures/curly.png\" -s 50 -S 942491079 -W 512 -H 512 -C 7.5 -A k_lms -c top 64 right 64" }, { "tool": "gfpgan", "dream_command": "!fix \"outputs/img-samples/curly.942491079.outcrop-02.png\" -s 50 -S 942491079 -W 512 -H 512 -C 7.5 -A k_lms -G 0.8" }, { "tool": "upscale", "dream_command": "!fix \"outputs/img-samples/curly.942491079.gfpgan.png\" -s 50 -S 942491079 -W 512 -H 512 -C 7.5 -A k_lms -U 4.0 0.75" } ], "sampler": "k_lms", "variations": [], "type": "txt2img" } } ~~~
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@ -4,75 +4,95 @@ title: Outpainting
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# :octicons-paintbrush-16: Outpainting
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## Continous outpainting
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## Outpainting and outcropping
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This extension uses the inpainting code to extend an existing image to
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any direction of "top", "right", "bottom" or "left". To use it you
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need to provide an initial image with -I and an extension direction
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with -D (direction). When extending using outpainting a higher img2img
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strength value of 0.83 is the default.
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Outpainting is a process by which the AI generates parts of the image
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that are outside its original frame. It can be used to fix up images
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in which the subject is off center, or when some detail (often the top
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of someone's head!) is cut off.
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The code is not foolproof. Sometimes it will do a good job extending
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the image, and other times it will generate ghost images and other
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artifacts. In addition, the code works best on images that were
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generated by dream.py, because it will be able to recover the original
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prompt that generated the file and "understand" what you are trying to
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achieve.
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InvokeAI supports two versions of outpainting, one called "outpaint"
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and the other "outcrop." They work slightly differently and each has
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its advantages and drawbacks.
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### Basic Usage
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### Outcrop
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To illustrate, consider this image generated with the prompt "fantasy
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portrait of eleven princess." It's nice, but rather annoying that the
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top of the head has been cropped off.
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The `outcrop` extension allows you to extend the image in 64 pixel
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increments in any dimension. You can apply the module to any image
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previously-generated by InvokeAI. Note that it will **not** work with
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arbitrary photographs or Stable Diffusion images created by other
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implementations.
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Consider this image:
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We can fix that using the `!fix` command!
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Pretty nice, but it's annoying that the top of her head is cut
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off. She's also a bit off center. Let's fix that!
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~~~~
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dream> !fix my_images/elven_princess.png -D top 50
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dream> !fix images/curly.png --outcrop top 64 right 64
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~~~~
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This is telling dream.py to open up a rectangle 50 pixels high at the
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top of the image and outpaint into it. The result is:
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This is saying to apply the `outcrop` extension by extending the top
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of the image by 64 pixels, and the right of the image by the same
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amount. You can use any combination of top|left|right|bottom, and
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specify any number of pixels to extend. You can also abbreviate
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`--outcrop` to `-c`.
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The result looks like this:
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Viola! You can similarly specify `bottom`, `left` or `right` to
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outpaint into these margins.
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There are some limitations to be aware of:
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The new image is actually slightly larger than the original (576x576,
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because 64 pixels were added to the top and right sides.)
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1. You cannot change the size of the image rectangle. In the example,
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notice that the whole image is shifted downwards by 50 pixels, rather
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than the top being extended upwards.
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A number of caveats:
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2. Attempting to outpaint larger areas will frequently give rise to ugly
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1. Although you can specify any pixel values, they will be rounded up
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to the nearest multiple of 64. Smaller values are better. Larger
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extensions are more likely to generate artefacts. However, if you wish
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you can run the !fix command repeatedly to cautiously expand the
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image.
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2. The extension is stochastic, meaning that each time you run it
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you'll get a slightly different result. You can run it repeatedly
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until you get an image you like. Unfortunately `!fix` does not
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currently respect the `-n` (`--iterations`) argument.
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## Outpaint
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The `outpaint` extension does the same thing, but with subtle
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differences. Starting with the same image, here is how we would add an
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additional 64 pixels to the top of the image:
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~~~
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dream> !fix images/curly.png --out_direction top 64
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~~~
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(you can abbreviate ``--out_direction` as `-D`.
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The result is shown here:
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Although the effect is similar, there are significant differences from
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outcropping:
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1. You can only specify one direction to extend at a time.
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2. The image is **not** resized. Instead, the image is shifted by the specified
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number of pixels. If you look carefully, you'll see that less of the lady's
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torso is visible in the image.
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3. Because the image dimensions remain the same, there's no rounding
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to multiples of 64.
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4. Attempting to outpaint larger areas will frequently give rise to ugly
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ghosting effects.
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3. For best results, try increasing the step number.
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4. If you don't specify a pixel value in -D, it will default to half
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5. For best results, try increasing the step number.
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6. If you don't specify a pixel value in -D, it will default to half
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of the whole image, which is likely not what you want.
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You can do more with `!fix` including upscaling and facial
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reconstruction of previously-generated images. See
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[./UPSCALE.md#fixing-previously-generated-images] for the details.
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### Advanced Usage
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For more control over the outpaintihg process, you can provide the
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`-D` option at image generation time. This allows you to apply all the
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controls, including the ability to resize the image and apply face-fixing
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and upscaling. For example:
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~~~~
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dream> man with cat on shoulder -I./images/man.png -D bottom 100 -W960 -H960 -fit
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~~~~
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Or even shorter, since the prompt is read from the metadata of the old image:
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~~~~
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dream> -I./images/man.png -D bottom 100 -W960 -H960 -fit -U2 -G1
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~~~~
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Neither `outpaint` nor `outcrop` are perfect, but we continue to tune
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and improve them. If one doesn't work, try the other. You may also
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wish to experiment with other `img2img` arguments, such as `-C`, `-f`
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and `-s`.
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@ -1,14 +1,18 @@
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---
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title: Upscale
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title: Postprocessing
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---
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## Intro
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The script provides the ability to restore faces and upscale. You can apply
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these operations at the time you generate the images, or at any time to a
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previously-generated PNG file, using the
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[!fix](#fixing-previously-generated-images) command.
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This extension provides the ability to restore faces and upscale
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images.
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Face restoration and upscaling can be applied at the time you generate
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the images, or at any later time against a previously-generated PNG
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file, using the [!fix](#fixing-previously-generated-images)
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command. [Outpainting and outcropping](OUTPAINTING.md) can only be
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applied after the fact.
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## Face Fixing
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@ -158,9 +162,9 @@ situations when there is very little facial data to work with.
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## Fixing Previously-Generated Images
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It is easy to apply face restoration and/or upscaling to any
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previously-generated file. Just use the syntax
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`!fix path/to/file.png <options>`. For example, to apply GFPGAN at strength 0.8
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and upscale 2X for a file named `./outputs/img-samples/000044.2945021133.png`,
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previously-generated file. Just use the syntax `!fix path/to/file.png
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<options>`. For example, to apply GFPGAN at strength 0.8 and upscale
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2X for a file named `./outputs/img-samples/000044.2945021133.png`,
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just run:
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```
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