code: def vqvae_resnet_to_diffusers_checkpoint(
      resnet, checkpoint, *, diffusers_resnet_prefix, resnet_prefix
  ):
      rv = {
          # norm1
          f"{diffusers_resnet_prefix}.norm1.weight": checkpoint[
              f"{resnet_prefix}.norm1.weight"
          ],
          f"{diffusers_resnet_prefix}.norm1.bias": checkpoint[
              f"{resnet_prefix}.norm1.bias"
          ],
          # conv1
          f"{diffusers_resnet_prefix}.conv1.weight": checkpoint[
              f"{resnet_prefix}.conv1.weight"
          ],
          f"{diffusers_resnet_prefix}.conv1.bias": checkpoint[
              f"{resnet_prefix}.conv1.bias"
          ],
          # norm2
          f"{diffusers_resnet_prefix}.norm2.weight": checkpoint[
              f"{resnet_prefix}.norm2.weight"
          ],
          f"{diffusers_resnet_prefix}.norm2.bias": checkpoint[
              f"{resnet_prefix}.norm2.bias"
          ],
          # conv2
          f"{diffusers_resnet_prefix}.conv2.weight": checkpoint[
              f"{resnet_prefix}.conv2.weight"
          ],
          f"{diffusers_resnet_prefix}.conv2.bias": checkpoint[
              f"{resnet_prefix}.conv2.bias"
          ],
      }
  
      if resnet.conv_shortcut is not None:
          rv.update(
              {
                  f"{diffusers_resnet_prefix}.conv_shortcut.weight": checkpoint[
                      f"{resnet_prefix}.nin_shortcut.weight"
                  ],
                  f"{diffusers_resnet_prefix}.conv_shortcut.bias": checkpoint[
                      f"{resnet_prefix}.nin_shortcut.bias"
                  ],
              }
          )
  
      return rv
  
imports: import argparse
  import tempfile
  import torch
  import yaml
  from accelerate import init_empty_weights, load_checkpoint_and_dispatch
  from transformers import CLIPTextModel, CLIPTokenizer
  from yaml.loader import FullLoader
  from diffusers import Transformer2DModel, VQDiffusionPipeline, VQDiffusionScheduler, VQModel
  from diffusers.pipelines.vq_diffusion.pipeline_vq_diffusion import LearnedClassifierFreeSamplingEmbeddings
label_desc: Use image node_id 9 for calling a global function with example usage: vqvae_resnet_to_diffusers_checkpoint(resnet, checkpoint) and returns: rv