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- from pathlib import Path
- from peft import PeftModel
- import modules.shared as shared
- from modules.models import load_model
- def add_lora_to_model(lora_name):
- # Is there a more efficient way of returning to the base model?
- if lora_name == "None":
- print("Reloading the model to remove the LoRA...")
- shared.model, shared.tokenizer = load_model(shared.model_name)
- else:
- print(f"Adding the LoRA {lora_name} to the model...")
- shared.model = PeftModel.from_pretrained(shared.model, Path(f"loras/{lora_name}"))
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