kohya-ss / kohya-ss/sd-scripts

SD3 different inference result using sd3_minimal_inference.py and diffusers

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Dominant language
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.

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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

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