modelscope / modelscope/DiffSynth-Studio
关于Wan2.1-Fun-V1.1-14B-Control-Camera模型训练
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- Python
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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。我想实现在镜头控制的情况下,采用首尾帧生成的形式控制视频内容的生成,可以使用该框架对Control_Camera模型的DiT部分训练一个lora吗?数据集该以什么格式构建呢?是在示例的metadata_camera_control.csv的基础上加入start_frame和end_frame吗?
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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 by reading the Control_Camera training example and its metadata_camera_control.csv format, then trace the DiT LoRA training entry point. Confirm whether first/end-frame fields are supported and document the required dataset format and training workflow; done means the supported path is explicit or the limitation is recorded.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100