daVinci-MagiHuman
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
The issue suggests adding support for daVinci-MagiHuman to the ComfyUI WanVideoWrapper, but does not specify a desired implementation or files. First check the linked model repository and the wrapper's existing model integrations to determine compatibility and scope. Done would mean a maintainer-defined support plan and working integration; the issue alone does not establish acceptance criteria.
Written by the indexing model from the issue text.
Description
I know the wrapper is on pause, but perhaps it could be something for ComfyUI ... (or wrapper should there be a free time with boredom hehe)
I am not entirely sure if its based on Wan, but they do refer to Wan a lot, and compare themselves to Ovi.
(think its based on Wan-TI2V 5B, same as Ovi)
Video and audio model, and a distilled version that seems like it might be fast with only 8 steps needed.
https://github.com/GAIR-NLP/daVinci-MagiHuman
https://huggingface.co/GAIR/daVinci-MagiHuman
https://huggingface.co/SanDiegoDude/daVinci-MagiHuman-FP8
Thought i'd mention it, I guess its a bit of an "LTX light", or a "fast OVI" ;-)
https://github.com/user-attachments/assets/ad4b405c-50b3-4d26-9885-ba258f877705
- Dominant language
- Python
- Stars
- 6.8k
- Forks
- 712
- PR merge metrics
- No merged PRs in 30d
Getting set up
This project ships no dev container, Dockerfile or contributing guide, so setting up is up to you: start from its README, and see our first-contribution guide for the general steps.
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.
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