code: def run_model_flags():
      """Commandline arguments for running a tuned DreamBooth model."""
      parser = argparse.ArgumentParser()
  
      parser.add_argument(
          "--model_dir",
          type=str,
          default=None,
          required=True,
          help="Directory of the tuned model files.",
      )
      parser.add_argument(
          "--output_dir",
          type=str,
          default=None,
          required=True,
          help="Directory to save the generated images.",
      )
      parser.add_argument(
          "--prompts",
          type=str,
          default=None,
          required=True,
          help="Comma separated prompt strings for generating the images.",
      )
      parser.add_argument(
          "--num_samples_per_prompt",
          type=int,
          default=1,
          help="Number of images to generate for each prompt.",
      )
      parser.add_argument(
          "--use_ray_data",
          default=False,
          action="store_true",
          help=(
              "Enable using Ray Data to use multiple GPU workers to perform inference."
          ),
      )
      parser.add_argument(
          "--lora_weights_dir",
          default=None,
          help=(
              "The directory where `pytorch_lora_weights.bin` is stored."
          ),
      )
  
      return parser
  
label_desc: Use image node_id 3 for calling a global function with example usage: run_model_flags() and returns: parser