code: def test_pixart_1024_without_resolution_binning(self):
      generator = torch.manual_seed(0)
  
      pipe = PixArtAlphaPipeline.from_pretrained(
          self.ckpt_id_1024, torch_dtype=torch.float16
      )
      pipe.enable_model_cpu_offload()
  
      prompt = self.prompt
      height, width = 1024, 768
      num_inference_steps = 10
  
      image = pipe(
          prompt,
          height=height,
          width=width,
          generator=generator,
          num_inference_steps=num_inference_steps,
          output_type="np",
      ).images
      image_slice = image[0, -3:, -3:, -1]
  
      generator = torch.manual_seed(0)
      no_res_bin_image = pipe(
          prompt,
          height=height,
          width=width,
          generator=generator,
          num_inference_steps=num_inference_steps,
          output_type="np",
          use_resolution_binning=False,
      ).images
      no_res_bin_image_slice = no_res_bin_image[0, -3:, -3:, -1]
  
      assert not np.allclose(
          image_slice, no_res_bin_image_slice, atol=1e-4, rtol=1e-4
      )
  
imports: import gc
  import tempfile
  import unittest
  import numpy
  import torch
  from transformers import AutoTokenizer, T5EncoderModel
  from diffusers import AutoencoderKL, DDIMScheduler, PixArtAlphaPipeline, Transformer2DModel
  from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, slow, torch_device
  from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS, TEXT_TO_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin, to_np
label_desc: Use image node_id 4 for calling the PixArtAlphaPipelineIntegrationTests obj's underlying member method code with example usage: obj.test_pixart_1024_without_resolution_binning() without return types