code: def get_dummy_inputs(self, device, seed=0):
      if str(device).startswith("mps"):
          generator = torch.manual_seed(seed)
      else:
          generator = torch.Generator(device=device).manual_seed(seed)
  
      controlnet_embedder_scale_factor = 2
  
      images = [
          randn_tensor(
              (
                  1,
                  3,
                  32 * controlnet_embedder_scale_factor,
                  32 * controlnet_embedder_scale_factor,
              ),
              generator=generator,
              device=torch.device(device),
          ),
          randn_tensor(
              (
                  1,
                  3,
                  32 * controlnet_embedder_scale_factor,
                  32 * controlnet_embedder_scale_factor,
              ),
              generator=generator,
              device=torch.device(device),
          ),
      ]
  
      inputs = {
          "prompt": "A painting of a squirrel eating a burger",
          "generator": generator,
          "num_inference_steps": 2,
          "guidance_scale": 6.0,
          "output_type": "np",
          "image": images,
      }
  
      return inputs
  
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 StableDiffusionXLMultiControlNetPipelineFastTests obj's underlying member method code with example usage: obj.get_dummy_inputs(device, seed) and returns: inputs