code: def test_unidiffuser_default_image_0(self):
      device = "cpu"  # ensure determinism for the device-dependent torch.Generator
      components = self.get_dummy_components()
      unidiffuser_pipe = UniDiffuserPipeline(**components)
      unidiffuser_pipe = unidiffuser_pipe.to(device)
      unidiffuser_pipe.set_progress_bar_config(disable=None)
  
      # Set mode to 'img'
      unidiffuser_pipe.set_image_mode()
      assert unidiffuser_pipe.mode == "img"
  
      inputs = self.get_dummy_inputs(device)
      # Delete prompt and image for unconditional ("marginal") text generation.
      del inputs["prompt"]
      del inputs["image"]
      image = unidiffuser_pipe(**inputs).images
      assert image.shape == (1, 32, 32, 3)
  
      image_slice = image[0, -3:, -3:, -1]
      expected_slice = np.array(
          [
              0.5760,
              0.6270,
              0.6571,
              0.4966,
              0.4638,
              0.5663,
              0.5254,
              0.5068,
              0.5715,
          ]
      )
      assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-3
  
imports: import gc
  import random
  import traceback
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection, GPT2Tokenizer
  from diffusers import AutoencoderKL, DPMSolverMultistepScheduler, UniDiffuserModel, UniDiffuserPipeline, UniDiffuserTextDecoder
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, nightly, require_torch_2, require_torch_gpu, run_test_in_subprocess, torch_device
  from diffusers.utils.torch_utils import randn_tensor
  from ..pipeline_params import IMAGE_TO_IMAGE_IMAGE_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS
  from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin
label_desc: Use image node_id 8 for calling the UniDiffuserPipelineFastTests obj's underlying member method code with example usage: obj.test_unidiffuser_default_image_0() without return types