code: def convert_to_rgb(image):
      # `image.convert("RGB")` would only work for .jpg images, as it creates a wrong background
      # for transparent images. The call to `alpha_composite` handles this case
      if image.mode == "RGB":
          return image
  
      image_rgba = image.convert("RGBA")
      background = Image.new("RGBA", image_rgba.size, (255, 255, 255))
      alpha_composite = Image.alpha_composite(background, image_rgba)
      alpha_composite = alpha_composite.convert("RGB")
      return alpha_composite
  
file_path: transformers/src/transformers/models/idefics/image_processing_idefics.py
imports: from typing import Callable, Dict, List, Optional, Union
  from PIL import Image
  from ...image_processing_utils import BaseImageProcessor, BatchFeature
  from ...image_transforms import resize, to_channel_dimension_format
  from ...image_utils import ChannelDimension, ImageInput, PILImageResampling, make_list_of_images, to_numpy_array, valid_images
  from ...utils import TensorType, is_torch_available
label_desc: Use image node_id 1 for calling a global function with example usage: convert_to_rgb(image) and returns: alpha_composite, image