code: def tearDown(self):
      # clean up the VRAM after each test
      super().tearDown()
      gc.collect()
      torch.cuda.empty_cache()
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import AutoTokenizer, T5EncoderModel
  from diffusers import AutoPipelineForImage2Image, Kandinsky3Img2ImgPipeline, Kandinsky3UNet, VQModel
  from diffusers.image_processor import VaeImageProcessor
  from diffusers.schedulers.scheduling_ddpm import DDPMScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, require_torch_gpu, slow
  from ..pipeline_params import IMAGE_TO_IMAGE_IMAGE_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS, TEXT_GUIDED_IMAGE_VARIATION_PARAMS, TEXT_TO_IMAGE_CALLBACK_CFG_PARAMS, TEXT_TO_IMAGE_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the Kandinsky3Img2ImgPipelineIntegrationTests obj's underlying member method code with example usage: obj.tearDown() without return types