code: def __call__(self, batch: Dict[str, np.ndarray]):
      output = self.pipeline(
          prompt=[PROMPT] * len(batch["image"]),
          image=batch["image"],
          output_type="np",
      )
      return {"image": output.images}
  
file_path: ray/release/nightly_tests/dataset/stable_diffusion_benchmark.py
imports: import argparse
  import os
  from typing import Dict
  import numpy
  import torch
  from diffusers import StableDiffusionImg2ImgPipeline
  from benchmark import Benchmark
  import ray
label_desc: Use image node_id 2 for calling the GenerateImage obj's underlying member method code with example usage: obj.__call__(batch) and returns: dict