code: def pt_to_pil(images):
      """
      Convert a torch image to a PIL image.
      """
      images = (images / 2 + 0.5).clamp(0, 1)
      images = images.cpu().permute(0, 2, 3, 1).float().numpy()
      images = numpy_to_pil(images)
      return images
  
file_path: llmga/llmga/diffusers/src/diffusers/utils/pil_utils.py
imports: from typing import List
  import PIL.Image
  import PIL.ImageOps
  from packaging import version
  from PIL import Image
label_desc: Use image node_id 1 for calling a global function with example usage: pt_to_pil(images) and returns: images