code: def override_diffusers_2_0_attn_processors(model):
      for _, submodule in model.named_modules():
          if isinstance(submodule, Attention):
              if isinstance(submodule.processor, AttnProcessor2_0):
                  submodule.set_processor(AttnProcessor())
              elif isinstance(
                  submodule.processor, LoRAAttnProcessor2_0
              ):
                  lora_attn_processor = LoRAAttnProcessor(
                      hidden_size=submodule.processor.hidden_size,
                      cross_attention_dim=submodule.processor.cross_attention_dim,
                      rank=submodule.processor.rank,
                      network_alpha=submodule.processor.to_q_lora.network_alpha,
                  )
                  lora_attn_processor.to_q_lora = copy.deepcopy(
                      submodule.processor.to_q_lora
                  )
                  lora_attn_processor.to_k_lora = copy.deepcopy(
                      submodule.processor.to_k_lora
                  )
                  lora_attn_processor.to_v_lora = copy.deepcopy(
                      submodule.processor.to_v_lora
                  )
                  lora_attn_processor.to_out_lora = copy.deepcopy(
                      submodule.processor.to_out_lora
                  )
                  submodule.set_processor(lora_attn_processor)
              elif isinstance(
                  submodule.processor, AttnAddedKVProcessor2_0
              ):
                  submodule.set_processor(AttnAddedKVProcessor())
      return model
  
imports: import copy
  from typing import TYPE_CHECKING, Dict, List, Optional, Tuple, Union
  import torch
  from packaging import version
  from transformers.models.speecht5.modeling_speecht5 import SpeechT5HifiGan
  from transformers.utils import is_tf_available, is_torch_available
  from ...utils import DIFFUSERS_MINIMUM_VERSION, ORT_QUANTIZE_MINIMUM_VERSION, check_if_diffusers_greater, is_diffusers_available, logging
  from ...utils.import_utils import _diffusers_version
  from ..tasks import TasksManager
  from .constants import ONNX_DECODER_NAME, ONNX_DECODER_WITH_PAST_NAME, ONNX_ENCODER_NAME
label_desc: Use image node_id 11 for calling a global function with example usage: override_diffusers_2_0_attn_processors(model) and returns: model