huggingface / huggingface/open-muse
How to finetune the muse-512?
- Dominant language
- Python
- Stars
- 359
- Forks
- 30
- PR merge metrics
- No merged PRs in 30d
Description
Thank you for your contributions to the open-source community. After testing your weights, we found that the fine-tuned muse-512 has made significant improvements in image quality. We are very interested in this and would like to know how you performed the fine-tuning on the model. For example, what dataset did you use for fine-tuning? Is it open-source? What are its characteristics? Once again, we appreciate your contributions to the open-source community.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue asks how the muse-512 weights were fine-tuned, including the dataset used, its availability, and its characteristics. No file, test, or entry point is named; done means documenting the fine-tuning process and dataset details.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100