docstr: Converts a numpy image or a batch of images to a PIL image.
docstr_tok: ["Converts","a","numpy","image","or","a","batch","of","images","to","a","PIL","image","."]
code: def numpy_to_pil(images):
      """
      Converts a numpy image or a batch of images to a PIL image.
      """
      if images.ndim == 3:
          images = images[None, ...]
      images = (images * 255).round().astype("uint8")
      if images.shape[-1] == 1:
          # special case for grayscale (single channel) images
          pil_images = [
              Image.fromarray(image.squeeze(), mode="L")
              for image in images
          ]
      else:
          pil_images = [Image.fromarray(image) for image in images]
  
      return pil_images
  
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 1 for calling the DiffusionPipelineMixin obj's underlying member method code with example usage: obj.numpy_to_pil(images) and returns: pil_images