code: def get_dummy_inputs(self, device, seed=0):
      prior_dummy = PriorDummies()
      dummy = Img2ImgDummies()
      inputs = prior_dummy.get_dummy_inputs(device=device, seed=seed)
      inputs.update(dummy.get_dummy_inputs(device=device, seed=seed))
      inputs.pop("image_embeds")
      inputs.pop("negative_image_embeds")
      return inputs
  
imports: import unittest
  import numpy
  from diffusers import KandinskyV22CombinedPipeline, KandinskyV22Img2ImgCombinedPipeline, KandinskyV22InpaintCombinedPipeline
  from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
  from .test_kandinsky import Dummies
  from .test_kandinsky_img2img import Dummies
  from .test_kandinsky_inpaint import Dummies
  from .test_kandinsky_prior import Dummies
label_desc: Use image node_id 2 for calling the KandinskyV22PipelineImg2ImgCombinedFastTests obj's underlying member method code with example usage: obj.get_dummy_inputs(device, seed) and returns: inputs