code: def test_stable_unclip_h_img2img(self):
      input_image = load_image(
          "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/turtle.png"
      )
  
      expected_image = load_numpy(
          "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/stable_unclip/stable_unclip_2_1_h_img2img_anime_turtle_fp16.npy"
      )
  
      pipe = StableUnCLIPImg2ImgPipeline.from_pretrained(
          "fusing/stable-unclip-2-1-h-img2img",
          torch_dtype=torch.float16,
      )
      pipe.to(torch_device)
      pipe.set_progress_bar_config(disable=None)
      # stable unclip will oom when integration tests are run on a V100,
      # so turn on memory savings
      pipe.enable_attention_slicing()
      pipe.enable_sequential_cpu_offload()
  
      generator = torch.Generator(device="cpu").manual_seed(0)
      output = pipe(
          input_image,
          "anime turle",
          generator=generator,
          output_type="np",
      )
  
      image = output.images[0]
  
      assert image.shape == (768, 768, 3)
  
      assert_mean_pixel_difference(image, expected_image)
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModel, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import AutoencoderKL, DDIMScheduler, DDPMScheduler, StableUnCLIPImg2ImgPipeline, UNet2DConditionModel
  from diffusers.pipelines.pipeline_utils import DiffusionPipeline
  from diffusers.pipelines.stable_diffusion.stable_unclip_image_normalizer import StableUnCLIPImageNormalizer
  from diffusers.utils.import_utils import is_xformers_available
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, load_numpy, nightly, require_torch_gpu, skip_mps, torch_device
  from ..pipeline_params import TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
  from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 3 for calling the StableUnCLIPImg2ImgPipelineIntegrationTests obj's underlying member method code with example usage: obj.test_stable_unclip_h_img2img() without return types