code: def progress_bar(self, iterable=None, total=None):
      if not hasattr(self, "_progress_bar_config"):
          self._progress_bar_config = {}
      elif not isinstance(self._progress_bar_config, dict):
          raise ValueError(
              f"`self._progress_bar_config` should be of type `dict`, but is {type(self._progress_bar_config)}."
          )
  
      if iterable is not None:
          return tqdm(iterable, **self._progress_bar_config)
      elif total is not None:
          return tqdm(total=total, **self._progress_bar_config)
      else:
          raise ValueError(
              "Either `total` or `iterable` has to be defined."
          )
  
imports: import warnings
  from typing import List, Optional, Union
  import numpy
  import PIL
  import torch
  from diffusers import ConfigMixin
  from diffusers.image_processor import VaeImageProcessor
  from diffusers.utils.pil_utils import PIL_INTERPOLATION
  from PIL import Image
  from tqdm.auto import tqdm
label_desc: Use image node_id 2 for calling the DiffusionPipelineMixin obj's underlying member method code with example usage: obj.progress_bar(iterable, total) and returns: tqdm, tqdm