code: def _postload_ov(pipe, unet, value_decoder):
      # load unet and vae
      pipe.unet = unet
      pipe.vae.decoder = value_decoder
  
imports: import os
  import functools
  import diffusers
  from huggingface_hub import snapshot_download
  from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
  from diffusers import DiffusionPipeline, StableDiffusionPipeline, StableDiffusionImg2ImgPipeline
  from diffusers import AutoencoderKL, UNet2DConditionModel
  from bigdl.nano.diffusion.utils.paths import *
  from bigdl.nano.pytorch import InferenceOptimizer
  from bigdl.nano.utils.common import invalidInputError
  from bigdl.nano.diffusion.common.optimize import load_optimized_unet, load_optimized_vae_decoder
label_desc: Use image node_id 3 for calling a global function with example usage: _postload_ov(pipe, unet, value_decoder) without return types