def fuse_text_encoder_lora(text_encoder, lora_scale=1.0, safe_fusing=False, adapter_names=None):
    """
    Fuses LoRAs for the text encoder.

    Args:
        text_encoder (`torch.nn.Module`):
            The text encoder module to set the adapter layers for. If `None`, it will try to get the `text_encoder`
            attribute.
        lora_scale (`float`, defaults to 1.0):
            Controls how much to influence the outputs with the LoRA parameters.
        safe_fusing (`bool`, defaults to `False`):
            Whether to check fused weights for NaN values before fusing and if values are NaN not fusing them.
        adapter_names (`List[str]` or `str`):
            The names of the adapters to use.
    """
    merge_kwargs = {"safe_merge": safe_fusing}

    for module in text_encoder.modules():
        if isinstance(module, BaseTunerLayer):
            if lora_scale != 1.0:
                module.scale_layer(lora_scale)

            # For BC with previous PEFT versions, we need to check the signature
            # of the `merge` method to see if it supports the `adapter_names` argument.
            supported_merge_kwargs = list(inspect.signature(module.merge).parameters)
            if "adapter_names" in supported_merge_kwargs:
                merge_kwargs["adapter_names"] = adapter_names
            elif "adapter_names" not in supported_merge_kwargs and adapter_names is not None:
                raise ValueError(
                    "The `adapter_names` argument is not supported with your PEFT version. "
                    "Please upgrade to the latest version of PEFT. `pip install -U peft`"
                )

            module.merge(**merge_kwargs)

    Fuses LoRAs for the text encoder.

    Args:
        text_encoder (`torch.nn.Module`):
            The text encoder module to set the adapter layers for. If `None`, it will try to get the `text_encoder`
            attribute.
        lora_scale (`float`, defaults to 1.0):
            Controls how much to influence the outputs with the LoRA parameters.
        safe_fusing (`bool`, defaults to `False`):
            Whether to check fused weights for NaN values before fusing and if values are NaN not fusing them.
        adapter_names (`List[str]` or `str`):
            The names of the adapters to use.
    
src/diffusers/loaders/lora_base.py