code: def _state_key_mapping(self, state_dict: dict):
      import re
  
      res_dict = {}
      key_list = state_dict.keys()
      key_str = " ".join(key_list)
      up_block_pattern = re.compile("upsamplers")
      p1 = re.compile("mid.block_[0-9]")
      p2 = re.compile("decoder.up.[0-9]")
      up_blocks_count = int(
          len(re.findall(up_block_pattern, key_str)) / 2 + 1
      )
      for key_, val_ in state_dict.items():
          key_ = (
              key_.replace("up_blocks", "up")
              .replace("down_blocks", "down")
              .replace("resnets", "block")
              .replace("mid_block", "mid")
              .replace("mid.block.", "mid.block_")
              .replace("mid.attentions.0.key", "mid.attn_1.k")
              .replace("mid.attentions.0.query", "mid.attn_1.q")
              .replace("mid.attentions.0.value", "mid.attn_1.v")
              .replace("mid.attentions.0.group_norm", "mid.attn_1.norm")
              .replace(
                  "mid.attentions.0.proj_attn", "mid.attn_1.proj_out"
              )
              .replace("upsamplers.0", "upsample")
              .replace("downsamplers.0", "downsample")
              .replace("conv_shortcut", "nin_shortcut")
              .replace("conv_norm_out", "norm_out")
          )
  
          mid_list = re.findall(p1, key_)
          if len(mid_list) != 0:
              mid_str = mid_list[0]
              mid_id = int(mid_str[-1]) + 1
              key_ = key_.replace(mid_str, mid_str[:-1] + str(mid_id))
  
          up_list = re.findall(p2, key_)
          if len(up_list) != 0:
              up_str = up_list[0]
              up_id = up_blocks_count - 1 - int(up_str[-1])
              key_ = key_.replace(up_str, up_str[:-1] + str(up_id))
          res_dict[key_] = val_
      return res_dict
  
imports: from contextlib import contextmanager
  import pytorch_lightning
  import torch
  import torch.nn.functional
  from nemo.collections.multimodal.modules.stable_diffusion.diffusionmodules.model import Decoder, Encoder
  from nemo.collections.multimodal.modules.stable_diffusion.distributions.distributions import DiagonalGaussianDistribution
  from nemo.collections.multimodal.parts.stable_diffusion.utils import instantiate_from_config
label_desc: Use image node_id 2 for calling the AutoencoderKL obj's underlying member method code with example usage: obj._state_key_mapping(state_dict) and returns: res_dict