Function text_encoder_attn_modules

src/diffusers/loaders/__init__.py:33–51

(text_encoder)

if is_transformers_available():

    def text_encoder_attn_modules(text_encoder):
        deprecate(
            "text_encoder_attn_modules in `models`",
            "0.27.0",
            "`text_encoder_lora_state_dict` is deprecated and will be removed in 0.27.0. Make sure to retrieve the weights using `get_peft_model`. See https://huggingface.co/docs/peft/v0.6.2/en/quicktour#peftmodel for more information.",
        )
        from transformers import CLIPTextModel, CLIPTextModelWithProjection

        attn_modules = []

        if isinstance(text_encoder, (CLIPTextModel, CLIPTextModelWithProjection)):
            for i, layer in enumerate(text_encoder.text_model.encoder.layers):
                name = f"text_model.encoder.layers.{i}.self_attn"
                mod = layer.self_attn
                attn_modules.append((name, mod))
        else:
            raise ValueError(f"do not know how to get attention modules for: {text_encoder.__class__.__name__}")

        return attn_modules


_import_structure = {}