Poor results for Multi-subject Personalization
- Dominant language
- Python
- Stars
- 28
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
Hello, please could you share some pointers on how to use MM-diff for multi subject personalization? Wanted to cite this work in our benchmark, but I am getting very poor results for multi-subject. is there any way to have varying trigger token names for different people
Contributor guide
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Research direction
The issue names MM-Diff and multi-subject personalization but no files, tests, or entry points. Start by reviewing the repository's usage guidance and personalization flow, then reproduce the reported multi-subject results and inspect how trigger token names are handled. Done means the expected usage is documented or the requested varying-token capability has a defined, tested implementation scope.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100