bytedance / bytedance/SuperEdit
Training Reproduce Suggestion
- Dominant language
- Python
- Stars
- 165
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
Hi, thanks for your great work!
I've successfully reproduced the training based on sd1.5. However, I'm trying to migrate the SuperEdit into Sana (https://github.com/NVlabs/Sana) but the results look really bad (seems the edited image cannot preserve input image).
Wondering if you have investigated or studied on image editing based on Sana. Appreciate if there's any suggestion :)
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reading the SuperEdit training setup used for sd1.5 and the linked Sana repository, then compare their training and image-editing entry points. Reproduce the reported Sana migration and document the configuration changes needed for edited images to preserve the input image; the issue currently names no files, tests, or exact settings.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100