code: def test_stable_diffusion_depth2img_pil(self):
      device = "cpu"  # ensure determinism for the device-dependent torch.Generator
      components = self.get_dummy_components()
      pipe = StableDiffusionDepth2ImgPipeline(**components)
      pipe = pipe.to(device)
      pipe.set_progress_bar_config(disable=None)
  
      inputs = self.get_dummy_inputs(device)
  
      image = pipe(**inputs).images
      image_slice = image[0, -3:, -3:, -1]
  
      if torch_device == "mps":
          expected_slice = np.array(
              [
                  0.53232,
                  0.47015,
                  0.40868,
                  0.45651,
                  0.4891,
                  0.4668,
                  0.4287,
                  0.48822,
                  0.47439,
              ]
          )
      else:
          expected_slice = np.array(
              [
                  0.5435,
                  0.4992,
                  0.3783,
                  0.4411,
                  0.5842,
                  0.4654,
                  0.3786,
                  0.5077,
                  0.4655,
              ]
          )
  
      assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-3
  
imports: import gc
  import random
  import tempfile
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer, DPTConfig, DPTFeatureExtractor, DPTForDepthEstimation
  from diffusers import AutoencoderKL, DDIMScheduler, DPMSolverMultistepScheduler, LMSDiscreteScheduler, PNDMScheduler, StableDiffusionDepth2ImgPipeline, UNet2DConditionModel
  from diffusers.utils import is_accelerate_available, is_accelerate_version
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, load_numpy, nightly, require_torch_gpu, skip_mps, slow, torch_device
  from ..pipeline_params import IMAGE_TO_IMAGE_IMAGE_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS, TEXT_TO_IMAGE_CALLBACK_CFG_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin
label_desc: Use image node_id 12 for calling the StableDiffusionDepth2ImgPipelineFastTests obj's underlying member method code with example usage: obj.test_stable_diffusion_depth2img_pil() without return types