code: def prepare_init_args_and_inputs_for_common(self):
      init_dict = {
          "block_out_channels": (32, 64),
          "down_block_types": (
              "CrossAttnDownBlockMotion",
              "DownBlockMotion",
          ),
          "up_block_types": ("UpBlockMotion", "CrossAttnUpBlockMotion"),
          "cross_attention_dim": 32,
          "num_attention_heads": 4,
          "out_channels": 4,
          "in_channels": 4,
          "layers_per_block": 1,
          "sample_size": 32,
      }
      inputs_dict = self.dummy_input
      return init_dict, inputs_dict
  
imports: import copy
  import os
  import tempfile
  import unittest
  import numpy
  import torch
  from diffusers import MotionAdapter, UNet2DConditionModel, UNetMotionModel
  from diffusers.utils import logging
  from diffusers.utils.import_utils import is_xformers_available
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, torch_device
  from .test_modeling_common import ModelTesterMixin, UNetTesterMixin
label_desc: Use image node_id 4 for calling the UNetMotionModelTests obj's underlying member method code with example usage: obj.prepare_init_args_and_inputs_for_common() and returns: init_dict,  inputs_dict