thu-ml / thu-ml/TurboDiffusion
Lora fine tuning
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- Python
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Description
Hi guys. Very nice work. I would like to know if I have to fine-tune a lora for Wan2.1. What are the correct steps? Can my LORA work on top of these TurboDiffusion weights? I suspect it won't because it was trained on the normal attention, not Spare Linear Attention. What's the best way to make my lora work with turbo diffusion?
- Merge my LORA weights into the original Wan2.1 base weights and then treat it as a new base model and train turbo diffusion?
- Or should I explore something like orthogonal finetuning?
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Research direction
The issue asks whether LoRA fine-tuning for Wan2.1 is compatible with TurboDiffusion weights and discusses merging weights or using orthogonal fine-tuning. No files, tests, or entry points are identified; first seek maintainer guidance on the intended approach and what validation would demonstrate compatibility.
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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