code: def dummy_cond_unet(self):
      unet = UNet2DModel.from_pretrained(
          "diffusers/consistency-models-test",
          subfolder="test_unet_class_cond",
      )
      return unet
  
imports: import gc
  import unittest
  import numpy
  import torch
  from torch.backends.cuda import sdp_kernel
  from diffusers import CMStochasticIterativeScheduler, ConsistencyModelPipeline, UNet2DModel
  from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch_2, require_torch_gpu, torch_device
  from diffusers.utils.torch_utils import randn_tensor
  from ..pipeline_params import UNCONDITIONAL_IMAGE_GENERATION_BATCH_PARAMS, UNCONDITIONAL_IMAGE_GENERATION_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 2 for calling the ConsistencyModelPipelineFastTests obj's underlying member method code with example usage: obj.dummy_cond_unet() and returns: unet