code: def __init__(self):
      device = "cuda" if torch.cuda.is_available() else "cpu"
      self.pipeline = StableDiffusionImg2ImgPipeline.from_pretrained(
          "nitrosocke/Ghibli-Diffusion",
          torch_dtype=torch.float16,
          use_safetensors=True,
          requires_safety_checker=False,
          safety_checker=None,
      ).to(device)
      self.pipeline.set_progress_bar_config(disable=True)
  
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 1 to create a new GenerateImage object  with example: obj = GenerateImage()