Running 1 process
Loading Flux model
Loading transformer
Fusing in LoRA
Error running job: PEFT backend is required for this method.
========================================
Result:
- 0 completed jobs
- 1 failure
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Traceback (most recent call last):
File "C:\data\AI-Toolkit_Trainer\ai-toolkit\run.py", line 90, in <module>
main()
File "C:\data\AI-Toolkit_Trainer\ai-toolkit\run.py", line 86, in main
raise e
File "C:\data\AI-Toolkit_Trainer\ai-toolkit\run.py", line 78, in main
job.run()
File "C:\data\AI-Toolkit_Trainer\ai-toolkit\jobs\ExtensionJob.py", line 22, in run
process.run()
File "C:\data\AI-Toolkit_Trainer\ai-toolkit\jobs\process\BaseSDTrainProcess.py", line 1230, in run
self.sd.load_model()
File "C:\data\AI-Toolkit_Trainer\ai-toolkit\toolkit\stable_diffusion_model.py", line 540, in load_model
pipe.load_lora_weights(self.model_config.lora_path, adapter_name="lora1")
File "C:\data\AI-Toolkit_Trainer\ai-toolkit\venv\lib\site-packages\diffusers\loaders\lora_pipeline.py", line 1607, in load_lora_weights
raise ValueError("PEFT backend is required for this method.")
ValueError: PEFT backend is required for this method.
(venv) (base) C:\data\AI-Toolkit_Trainer\ai-toolkit>
Lora training FLUX.schnell, getting this error:
I remembered about this:
assistant_lora_path: "ostris/FLUX.1-schnell-training-adapter"
This may come handy: