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An introduction to other image generation techniques
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Red chair in a room
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Remove the chair
Let's build a workflow that removes the foreground object from an image. The pipeline:
- Generates an image using GenerateImage
- Removes the background of the image using RemoveBackground, creating a foreground mask
- Erase content inside the mask using EraseImage
- Fill in details using InpaintImage
First, initialize Substrate:
Generate an image using GenerateImage.
Advanced image generation
- For more control over Stable Diffusion XL, use StableDiffusionXLLightning (opens in a new tab).
- Provide a seed to "pin" the initial noise in the image generation process – this can be a good way to experiment with subtle changes in your prompt.
Remove the background from the image, and turn the result into a "mask" (a black and white image). Without return_mask=True
, RemoveBackground returns the foreground segment of the image.
Erase the content inside the mask using EraseImage. This produces a rough approximation of erasure, so we follow it with InpaintImage. (For deeper control of the inpainting process, use StableDiffusionXLInpaint.) Finally, call substrate.run
with the terminal node of the pipeline, inpaint
.
Here's a sample result from this pipeline:
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res.get(image)
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res.get(mask)
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res.get(erase)
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res.get(inpaint)