bytedance / bytedance/SuperEdit
关于实验的模型选择
Open
- Dominant language
- Python
- Stars
- 165
- Forks
- 10
- PR merge metrics
- No merged PRs in 30d
Description
我想问问，在本项工作中，作者为什么只选择sd1.5这个模型做实验，没有选择其他的一些主流模型（如flux、sdxl系列）进行实验
Contributor guide
No contributing guide indexed for this repository
Research direction
No files, tests, or entry points are named; start by locating the experiment setup and documentation that explain the SD1.5 evaluation. Done would require a maintainer's rationale or a separately scoped comparison with FLUX and SDXL, but this issue does not define an implementation target.
Written by the indexing model from the issue text.
Assessment
- 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