Method disable_lora

src/diffusers/loaders/lora_base.py:779–807

Disables the active LoRA layers of the pipeline. Example: ```py from diffusers import AutoPipelineForText2Image import torch pipeline = AutoPipelineForText2Image.from_pretrained( "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=t

(self)

                set_adapters_for_text_encoder(adapter_names, model, _component_adapter_weights[component])

    def disable_lora(self):
        """
        Disables the active LoRA layers of the pipeline.

        Example:

        ```py
        from diffusers import AutoPipelineForText2Image
        import torch

        pipeline = AutoPipelineForText2Image.from_pretrained(
            "stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16
        ).to("cuda")
        pipeline.load_lora_weights(
            "jbilcke-hf/sdxl-cinematic-1", weight_name="pytorch_lora_weights.safetensors", adapter_name="cinematic"
        )
        pipeline.disable_lora()
        ```
        """
        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.disable_lora()
                elif issubclass(model.__class__, PreTrainedModel):
                    disable_lora_for_text_encoder(model)

    def enable_lora(self):
        """