ByteDance-Seed / ByteDance-Seed/Bagel
Video Generation
- Dominant language
- Python
- Stars
- 6.2k
- Forks
- 545
- PR merge metrics
- No merged PRs in 30d
Description
Hi, thanks for the great work!
I’m wondering about the current performance of the model on video generation. I couldn’t find any related results or examples in the paper. Also, I noticed in another [issue#16](https://github.com/ByteDance-Seed/Bagel/issues/16) that you mentioned:
> “the model has been trained to generate multi-frames on T2V data, but with a minimal data sampling ratio.”
Would it be possible to include code examples for this functionality in a future update of **inference.ipynb**?
Contributor guide
No contributing guide indexed for this repository
Research direction
Review inference.ipynb and the referenced issue #16 first to determine what video-generation support is currently exposed. Compare the notebook with the paper's reported results, then document a working multi-frame video-generation example if the existing functionality supports it; done means the example runs and clearly shows the output.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- ai, documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100