code: def test_controlnet_sdxl_lcm(self):
      device = "cpu"  # ensure determinism for the device-dependent torch.Generator
  
      components = self.get_dummy_components(time_cond_proj_dim=256)
      sd_pipe = StableDiffusionXLControlNetPipeline(**components)
      sd_pipe.scheduler = LCMScheduler.from_config(
          sd_pipe.scheduler.config
      )
      sd_pipe = sd_pipe.to(torch_device)
      sd_pipe.set_progress_bar_config(disable=None)
  
      inputs = self.get_dummy_inputs(device)
      output = sd_pipe(**inputs)
      image = output.images
  
      image_slice = image[0, -3:, -3:, -1]
  
      assert image.shape == (1, 64, 64, 3)
      expected_slice = np.array(
          [
              0.6850,
              0.5135,
              0.5545,
              0.7033,
              0.6617,
              0.5971,
              0.4165,
              0.5480,
              0.5070,
          ]
      )
  
      assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTextModelWithProjection, CLIPTokenizer
  from diffusers import AutoencoderKL, ControlNetModel, EulerDiscreteScheduler, LCMScheduler, StableDiffusionXLControlNetPipeline, UNet2DConditionModel
  from diffusers.models.unet_2d_blocks import UNetMidBlock2D
  from diffusers.pipelines.controlnet.pipeline_controlnet import MultiControlNetModel
  from diffusers.utils.import_utils import is_xformers_available
  from diffusers.utils.testing_utils import enable_full_determinism, load_image, require_torch_gpu, slow, torch_device
  from diffusers.utils.torch_utils import randn_tensor
  from ..pipeline_params import IMAGE_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin, SDXLOptionalComponentsTesterMixin
label_desc: Use image node_id 2 for calling the StableDiffusionSSD1BControlNetPipelineFastTests obj's underlying member method code with example usage: obj.test_controlnet_sdxl_lcm() without return types