modelscope / modelscope/DiffSynth-Studio
Training WAN I2V: Rank=4 produces normal effects, while Rank=16 or Rank=32 results in abnormal effects.
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- Dominant language
- Python
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Description
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First steps
- Read the whole issue, then the project's contributing guide.
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Research direction
The issue provides no body, files, tests, or reproduction steps beyond the WAN I2V training title. Start by reproducing the behavior at Rank=4, Rank=16, and Rank=32, then identify the relevant training entry point and define the expected output before investigating the abnormal effects.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100