modelscope / modelscope/DiffSynth-Studio
SDXL 训练完成后输出lora权重，如何与原始模型进行lora合并，有没有相关的示例代码
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- Dominant language
- Python
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- Merged PRs (30d)
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Description
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Contributor guide
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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
No files, tests, or entry points are named. Clarify the expected SDXL LoRA merge workflow and locate the project's existing SDXL training or LoRA examples; done should be a documented, runnable example showing how trained LoRA weights are combined with the original model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100