code: def get_dummy_inputs(self, seed=0):
      generator = np.random.RandomState(seed)
      inputs = {
          "prompt": "A painting of a squirrel eating a burger",
          "generator": generator,
          "num_inference_steps": 2,
          "guidance_scale": 7.5,
          "output_type": "numpy",
      }
      return inputs
  
imports: import tempfile
  import unittest
  import numpy
  from diffusers import DDIMScheduler, DPMSolverMultistepScheduler, EulerAncestralDiscreteScheduler, EulerDiscreteScheduler, LMSDiscreteScheduler, OnnxStableDiffusionPipeline, PNDMScheduler
  from diffusers.utils.testing_utils import is_onnx_available, nightly, require_onnxruntime, require_torch_gpu
  from ..test_pipelines_onnx_common import OnnxPipelineTesterMixin
label_desc: Use image node_id 1 for calling the OnnxStableDiffusionPipelineFastTests obj's underlying member method code with example usage: obj.get_dummy_inputs(seed) and returns: inputs