aigc-apps / aigc-apps/VideoX-Fun
mask_pixel_values for I2V is inconsistent during training and inference
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 2.3k
- Forks
- 188
- Avg merge
- 2d 22h
- Merged PRs (30d)
- 3
Description
Contributor guide
No contributing guide indexed for this repository
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
Compare the mask_pixel_values assignments in videox_fun/data/dataset_image_video.py around line 506 and videox_fun/pipeline/pipeline_wan_fun_inpaint.py around line 617. Trace how the masks are consumed during training and inference, then make their non-input-region values consistent. Done means both paths use the same intended mask value.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100