Function _create_lora_config

src/diffusers/utils/peft_utils.py:347–378

(
    state_dict, network_alphas, metadata, rank_pattern_dict, is_unet=True, model_state_dict=None, adapter_name=None
)

def _create_lora_config(
    state_dict, network_alphas, metadata, rank_pattern_dict, is_unet=True, model_state_dict=None, adapter_name=None
):
    from peft import LoraConfig

    if metadata is not None:
        lora_config_kwargs = metadata
    else:
        lora_config_kwargs = get_peft_kwargs(
            rank_pattern_dict,
            network_alpha_dict=network_alphas,
            peft_state_dict=state_dict,
            is_unet=is_unet,
            model_state_dict=model_state_dict,
            adapter_name=adapter_name,
        )

    _maybe_raise_error_for_ambiguous_keys(lora_config_kwargs)

    # Version checks for DoRA and lora_bias
    if "use_dora" in lora_config_kwargs and lora_config_kwargs["use_dora"]:
        if is_peft_version("<", "0.9.0"):
            raise ValueError("DoRA requires PEFT >= 0.9.0. Please upgrade.")

    if "lora_bias" in lora_config_kwargs and lora_config_kwargs["lora_bias"]:
        if is_peft_version("<=", "0.13.2"):
            raise ValueError("lora_bias requires PEFT >= 0.14.0. Please upgrade.")

    try:
        return LoraConfig(**lora_config_kwargs)
    except TypeError as e:
        raise TypeError("`LoraConfig` class could not be instantiated.") from e


def _maybe_raise_error_for_ambiguous_keys(config):