kohya-ss / kohya-ss/sd-scripts
SD3 different inference result using sd3_minimal_inference.py and diffusers
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- Python
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Description
Using sd3_minimal_inference.py and diffusers to inference open source sd3 model can get totally different result, is it because of the scheduler? it seems that you use your own-written scheduler rather than the scheduler from diffusers.
Contributor guide
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Research direction
Start by reproducing the different inference results with sd3_minimal_inference.py and diffusers using the open source SD3 model. Compare the scheduler behavior and configuration in both paths, then document the confirmed cause and the conditions under which the results match.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100