Method unload_lora_weights

src/diffusers/loaders/lora_base.py:514–535

Unloads the LoRA parameters. Examples: ```python >>> # Assuming `pipeline` is already loaded with the LoRA parameters. >>> pipeline.unload_lora_weights() >>> ... ```

(self)

        raise NotImplementedError("`lora_state_dict()` is not implemented.")

    def unload_lora_weights(self):
        """
        Unloads the LoRA parameters.

        Examples:

        ```python
        >>> # Assuming `pipeline` is already loaded with the LoRA parameters.
        >>> pipeline.unload_lora_weights()
        >>> ...
        ```
        """
        if not USE_PEFT_BACKEND:
            raise ValueError("PEFT backend is required for this method.")

        for component in self._lora_loadable_modules:
            model = getattr(self, component, None)
            if model is not None:
                if issubclass(model.__class__, ModelMixin):
                    model.unload_lora()
                elif issubclass(model.__class__, PreTrainedModel):
                    _remove_text_encoder_monkey_patch(model)

    def fuse_lora(
        self,