aigc-apps / aigc-apps/VideoX-Fun
finetune control model on depth
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- Dominant language
- Python
- Stars
- 2.3k
- Forks
- 188
- Avg merge
- 2d 22h
- Merged PRs (30d)
- 3
Description
The Training control model Readme recommends using DWPose for pose control training. I'd like to instead train a model on depthmaps from DepthCrafter. Will I run into any issues doing this if I use 1.1-2B or 1.1-5B Control models as the base? The Readme uses 1.1-2b-Pose but I assume I could swap for the Control model? Do I need to provide multiple control inputs then?
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
Start with the Training control model Readme and compare its 1.1-2b-Pose setup with the 1.1-2B and 1.1-5B Control models. Check whether DepthCrafter depthmaps and multiple control inputs are supported, then document the compatibility requirements and any changes needed for a reproducible training setup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100