stable diffusion quantization in inpainting task is poor
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- C++
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Description
i have completed stable diffusion quantization in txt2img as demo shows.
the result is very good.
when i want to transfer sd quantization in inpainting task, i meet the problem that the quantization result is very poor.
the mask area is still noise and the quantized unet model can not inpaint any thing.
Do you konw the problem and anyone can help me?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Use the existing txt2img quantization demo as the baseline, then reproduce the reported behavior with the inpainting task and quantized UNet. The issue names no files, tests, or runnable entry point, so first identify the relevant Stable Diffusion inpainting and quantization paths. Done means the mask area is no longer noise and the quantized model can inpaint.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100