modelscope / modelscope/DiffSynth-Studio
关于 Wan2.1-Fun-V1.1-14B-Control-Camera 的 LoRA 训练
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Description
您好，非常感谢你们的杰出工作
我是一名初学者，基于 Wan2.1-Fun-V1.1-14B-Control-Camera 训练了一个 LoRA ，但lora_base_model是dit，请问 LoRA 是否包含 Camera Adapter 和 Camera Encoder 这两个模块？没包含的话，对lora的相机控制效果是否会有影响？我是否需要将这两个新增模块的参数纳入 LoRA 的优化列表？
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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
Start with the lora_base_model=dit setting and the Wan2.1-Fun-V1.1-14B-Control-Camera training setup. Trace whether Camera Adapter and Camera Encoder parameters are included in LoRA optimization. Done means documenting their inclusion, the effect on camera control, and which parameters should be selected.
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
- 35/100