Comments (2)
I think these are definitely in scope, it's just a matter of going through those implementations and adding the relevant models and tasks. I am guessing most of the building-blocks are already there with the original stable diffusion implementation, so it should not be very hard!
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I'm not sure if these are beyond the scope of this, but Stable Diffusion supports a number of different modes:
- text-to-image
- image-to-image
- inpainting
- upscaling
- depth-to-image.
Currently there is support for text-to-image
, but supporting image-to-image
and depth-to-image
would be great additions without requiring the additional UI something like inpainting
would imply. Though, taking a mask image as an additional argument would likely be a good simple path for inpainting
.
Depth-to-Image is a volume/shape preserving version of image-to-image introduced in 2.0 which is quite interesting.
https://github.com/Stability-AI/stablediffusion#depth-conditional-stable-diffusion
Would love to see these additional modes supported!
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Related Issues (20)
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