code: def test_push_to_hub(self):
      model = UNet2DConditionModel(
          block_out_channels=(32, 64),
          layers_per_block=2,
          sample_size=32,
          in_channels=4,
          out_channels=4,
          down_block_types=("DownBlock2D", "CrossAttnDownBlock2D"),
          up_block_types=("CrossAttnUpBlock2D", "UpBlock2D"),
          cross_attention_dim=32,
      )
      model.push_to_hub(self.repo_id, token=TOKEN)
  
      new_model = UNet2DConditionModel.from_pretrained(
          f"{USER}/{self.repo_id}"
      )
      for p1, p2 in zip(model.parameters(), new_model.parameters()):
          self.assertTrue(torch.equal(p1, p2))
  
      # Reset repo
      delete_repo(token=TOKEN, repo_id=self.repo_id)
  
      # Push to hub via save_pretrained
      with tempfile.TemporaryDirectory() as tmp_dir:
          model.save_pretrained(
              tmp_dir,
              repo_id=self.repo_id,
              push_to_hub=True,
              token=TOKEN,
          )
  
      new_model = UNet2DConditionModel.from_pretrained(
          f"{USER}/{self.repo_id}"
      )
      for p1, p2 in zip(model.parameters(), new_model.parameters()):
          self.assertTrue(torch.equal(p1, p2))
  
      # Reset repo
      delete_repo(self.repo_id, token=TOKEN)
  
imports: import inspect
  import tempfile
  import traceback
  import unittest
  import unittest.mock
  import uuid
  from typing import Dict, List, Tuple
  import numpy
  import requests_mock
  import torch
  from huggingface_hub import delete_repo
  from requests.exceptions import HTTPError
  from diffusers.models import UNet2DConditionModel
  from diffusers.models.attention_processor import AttnProcessor, AttnProcessor2_0, XFormersAttnProcessor
  from diffusers.training_utils import EMAModel
  from diffusers.utils import is_xformers_available, logging
  from diffusers.utils.testing_utils import CaptureLogger, require_python39_or_higher, require_torch_2, require_torch_gpu, run_test_in_subprocess, torch_device
  from ..others.test_utils import TOKEN, USER, is_staging_test
label_desc: Use image node_id 1 for calling the ModelPushToHubTester obj's underlying member method code with example usage: obj.test_push_to_hub() without return types