kohya-ss / kohya-ss/sd-scripts
How can I switch between LoRA models dynamically?
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- Python
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Description
I have trained several LoRA models using the Flux model, and I want to switch between these LoRA models dynamically without reloading the base Flux model.
I saw in #1185 that the methods `backup_weights`, `pre_calculation`, and `restore_weights` can be used to achieve this, but there are no examples provided. Could you please share an example of how to use them in practice?
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Research direction
Start by reading issue #1185 and the references to `backup_weights`, `pre_calculation`, and `restore_weights`. Done means providing a practical example showing how to switch among trained LoRA models without reloading the base Flux model.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100