kohya-ss / kohya-ss/sd-scripts
GLoRA: Generalized LoRA for Parameter-Efficient Fine-tuning
- Dominant language
- Python
- Stars
- 7.2k
- Forks
- 1.2k
- Avg merge
- 11m
- Merged PRs (30d)
- 2
Description
https://github.com/Arnav0400/ViT-Slim/tree/master/GLoRA
_Since I don't have the technical knowledge to know how meaningful or relevant this is for lora in SD I'm posting it here to bring attention to it_
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by reviewing the linked GLoRA implementation at Arnav0400/ViT-Slim/tree/master/GLoRA and comparing it with the project's existing LoRA-related implementation. The issue does not name files, tests, an entry point, or acceptance criteria, so maintainers would need to define the intended integration and what completion means before work can begin.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100