code: def test_dict_tuple_outputs_equivalent(self):
      super().test_dict_tuple_outputs_equivalent(
          expected_max_difference=5e-4
      )
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from PIL import Image
  from transformers import XLMRobertaTokenizerFast
  from diffusers import DDIMScheduler, DDPMScheduler, KandinskyImg2ImgPipeline, KandinskyPriorPipeline, UNet2DConditionModel, VQModel
  from diffusers.pipelines.kandinsky.text_encoder import MCLIPConfig, MultilingualCLIP
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_image, load_numpy, nightly, require_torch_gpu, slow, torch_device
  from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 5 for calling the KandinskyImg2ImgPipelineFastTests obj's underlying member method code with example usage: obj.test_dict_tuple_outputs_equivalent() without return types