code: def test_stable_diffusion_pipeline_with_sequential_cpu_offloading(
      self,
  ):
      torch.cuda.empty_cache()
      torch.cuda.reset_max_memory_allocated()
      torch.cuda.reset_peak_memory_stats()
  
      init_image = load_image(
          "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main"
          "/sd2-inpaint/init_image.png"
      )
      mask_image = load_image(
          "https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/sd2-inpaint/mask.png"
      )
  
      model_id = "stabilityai/stable-diffusion-2-inpainting"
      pndm = PNDMScheduler.from_pretrained(
          model_id, subfolder="scheduler"
      )
      pipe = StableDiffusionInpaintPipeline.from_pretrained(
          model_id,
          safety_checker=None,
          scheduler=pndm,
          torch_dtype=torch.float16,
      )
      pipe.to(torch_device)
      pipe.set_progress_bar_config(disable=None)
      pipe.enable_attention_slicing(1)
      pipe.enable_sequential_cpu_offload()
  
      prompt = "Face of a yellow cat, high resolution, sitting on a park bench"
  
      generator = torch.manual_seed(0)
      _ = pipe(
          prompt=prompt,
          image=init_image,
          mask_image=mask_image,
          generator=generator,
          num_inference_steps=2,
          output_type="np",
      )
  
      mem_bytes = torch.cuda.max_memory_allocated()
      # make sure that less than 2.65 GB is allocated
      assert mem_bytes < 2.65 * 10**9
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
  from diffusers import AutoencoderKL, PNDMScheduler, StableDiffusionInpaintPipeline, UNet2DConditionModel
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, load_numpy, require_torch_gpu, slow, torch_device
  from ..pipeline_params import TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS, TEXT_GUIDED_IMAGE_INPAINTING_PARAMS, TEXT_TO_IMAGE_CALLBACK_CFG_PARAMS
  from ..test_pipelines_common import PipelineKarrasSchedulerTesterMixin, PipelineLatentTesterMixin, PipelineTesterMixin
label_desc: Use image node_id 4 for calling the StableDiffusionInpaintPipelineIntegrationTests obj's underlying member method code with example usage: obj.test_stable_diffusion_pipeline_with_sequential_cpu_offloading() without return types