aigc-apps / aigc-apps/VideoX-Fun
How to train ControlNet to control CogVideoX 1.5 I2V model
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- Python
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Description
I want to use my own dataset to train ControlNet. My data is not pose or depth. Can you tell me how to do it? I want to train from scratch.
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
The issue names no training script, documentation page, or test. Start by locating the repository's training entry point for ControlNet and CogVideoX 1.5 I2V, then compare its assumptions with the custom dataset. Done would require clear, reproducible guidance for training from scratch with non-pose and non-depth data.
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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
- 15/100