code: def test_inference_batch_single_identical(self):
      super().test_inference_batch_single_identical(
          expected_max_diff=3e-3
      )
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import CLIPImageProcessor, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import AutoencoderKL, DPMSolverMultistepScheduler, PNDMScheduler, StableDiffusionImageVariationPipeline, UNet2DConditionModel
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, load_numpy, nightly, numpy_cosine_similarity_distance, require_torch_gpu, slow, torch_device
  from ..pipeline_params import IMAGE_VARIATION_BATCH_PARAMS, IMAGE_VARIATION_PARAMS
  from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin
label_desc: Use image node_id 5 for calling the StableDiffusionImageVariationPipelineFastTests obj's underlying member method code with example usage: obj.test_inference_batch_single_identical() without return types