kohya-ss / kohya-ss/sd-scripts
FLUX-Fill-LoRa-Training and Clip-L training when doing Fine Tuning / DreamBooth with FLUX Dev
- Dominant language
- Python
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Description
There is a repo here which allows you to train FLUX Fill
Can we have it if possible?
Actually Fine Tuning / DreamBooth would be even better than LoRA
https://github.com/Sebastian-Zok/FLUX-Fill-LoRa-Training/tree/main?tab=readme-ov-file
Thank you @kohya-ss
Also can we have Clip-L training when doing Fine Tuning / DreamBooth with FLUX Dev? Currently it is supported with FLUX LoRA
Contributor guide
No contributing guide indexed for this repository
Research direction
Start with the linked FLUX-Fill-LoRa-Training repository and the existing FLUX LoRA training entry points in this repository. Determine the scope needed for FLUX Fill fine-tuning or DreamBooth and Clip-L training with FLUX Dev, then document the implementation and validation requirements before starting work.
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