code: def get_dummy_inputs(self, device, seed=0):
      if str(device).startswith("mps"):
          generator = torch.manual_seed(seed)
      else:
          generator = torch.Generator(device=device).manual_seed(seed)
      inputs = {
          "prompt": "horse",
          "generator": generator,
          "guidance_scale": 4.0,
          "num_inference_steps": 2,
          "output_type": "np",
      }
      return inputs
  
imports: import inspect
  import unittest
  import numpy
  import torch
  from torch import nn
  from transformers import CLIPImageProcessor, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, CLIPVisionConfig, CLIPVisionModelWithProjection
  from diffusers import KandinskyV22PriorPipeline, PriorTransformer, UnCLIPScheduler
  from diffusers.utils.testing_utils import enable_full_determinism, skip_mps, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 12 for calling the Dummies obj's underlying member method code with example usage: obj.get_dummy_inputs(device, seed) and returns: inputs