code: def test_stable_diffusion_image_generation(self):
      function_name = "StableDiffusion"
  
      execute_query_fetch_all(
          self.evadb, f"DROP FUNCTION IF EXISTS {function_name};"
      )
  
      create_function_query = f"""CREATE FUNCTION IF NOT EXISTS {function_name}
              IMPL 'evadb/functions/stable_diffusion.py';
          """
      execute_query_fetch_all(self.evadb, create_function_query)
  
      gpt_query = f"SELECT {function_name}(prompt) FROM ImageGen;"
      output_batch = execute_query_fetch_all(self.evadb, gpt_query)
  
      self.assertEqual(
          output_batch.columns, ["stablediffusion.response"]
      )
  
      # Check if the returned data is an np.array representing an image
      img_data = output_batch.frames["stablediffusion.response"][0]
      self.assertIsInstance(img_data, np.ndarray)
      self.assertEqual(img_data.shape[2], 3)
  
file_path: evadb/test/integration_tests/long/functions/test_stablediffusion.py
imports: import unittest
  from test.markers import stable_diffusion_skip_marker
  from test.util import get_evadb_for_testing
  import numpy
  import pytest
  from evadb.server.command_handler import execute_query_fetch_all
label_desc: Use image node_id 3 for calling the StableDiffusionTest obj's underlying member method code with example usage: obj.test_stable_diffusion_image_generation() without return types