code: def get_dummy_inputs(self, device, seed=0):
      dummies = Dummies()
      return dummies.get_dummy_inputs(device=device, seed=seed)
  
imports: import gc
  import random
  import unittest
  import numpy
  import torch
  from diffusers import DDIMScheduler, KandinskyV22Pipeline, KandinskyV22PriorPipeline, UNet2DConditionModel, VQModel
  from diffusers.utils.testing_utils import enable_full_determinism, floats_tensor, load_numpy, require_torch_gpu, slow, torch_device
  from ..test_pipelines_common import PipelineTesterMixin, assert_mean_pixel_difference
label_desc: Use image node_id 1 for calling the KandinskyV22PipelineFastTests obj's underlying member method code with example usage: obj.get_dummy_inputs(device, seed) and returns: dummies