code: def save_controlnet_if_not_exist(local_controlnet_path):
      def save_a_controlnet(repo_id):
          cache_dir = snapshot_download(
              repo_id, cache_dir=os.path.join(local_controlnet_path)
          )
          controlnet = ControlNetModel.from_pretrained(cache_dir)
          print(
              f">> optimizing controlnet {repo_id} from {controlnet._name_or_path}"
          )
          optimize_controlnet(
              controlnet,
              accelerator="openvino",
              ipex=False,
              precision="float16",
              cache=True,
              return_model=False,
          )
          del controlnet
  
      save_a_controlnet("lllyasviel/sd-controlnet-canny")
      save_a_controlnet("lllyasviel/sd-controlnet-openpose")
      save_a_controlnet("lllyasviel/sd-controlnet-depth")
      save_a_controlnet("lllyasviel/sd-controlnet-scribble")
  
imports: import os
  import time
  import torch
  import shutil
  from collections import OrderedDict
  from diffusers.models import ControlNetModel
  from huggingface_hub import snapshot_download
  from ..common.load import *
  from ..utils.paths import *
  from bigdl.nano.pytorch import InferenceOptimizer
  from bigdl.nano.utils.common import invalidInputError
label_desc: Use image node_id 7 for calling a global function with example usage: save_controlnet_if_not_exist(local_controlnet_path) without return types