code: def renew_resnet_paths(old_list, n_shave_prefix_segments=0):
      """
      Updates paths inside resnets to the new naming scheme (local renaming)
      """
      mapping = []
      for old_item in old_list:
          new_item = old_item.replace("in_layers.0", "norm1")
          new_item = new_item.replace("in_layers.2", "conv1")
  
          new_item = new_item.replace("out_layers.0", "norm2")
          new_item = new_item.replace("out_layers.3", "conv2")
  
          new_item = new_item.replace("emb_layers.1", "time_emb_proj")
          new_item = new_item.replace(
              "skip_connection", "conv_shortcut"
          )
  
          new_item = shave_segments(
              new_item, n_shave_prefix_segments=n_shave_prefix_segments
          )
  
          mapping.append({"old": old_item, "new": new_item})
  
      return mapping
  
file_path: diffusers/scripts/convert_versatile_diffusion_to_diffusers.py
imports: import argparse
  from argparse import Namespace
  import torch
  from transformers import CLIPImageProcessor, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionModelWithProjection
  from diffusers import AutoencoderKL, DDIMScheduler, DPMSolverMultistepScheduler, EulerAncestralDiscreteScheduler, EulerDiscreteScheduler, LMSDiscreteScheduler, PNDMScheduler, UNet2DConditionModel, VersatileDiffusionPipeline
  from diffusers.pipelines.versatile_diffusion.modeling_text_unet import UNetFlatConditionModel
label_desc: Use image node_id 2 for calling a global function with example usage: renew_resnet_paths(old_list, n_shave_prefix_segments) and returns: mapping