code: def forward(self, text_df):
      try_to_import_replicate()
      import replicate
  
      replicate_api_key = self.replicate_api_token
      # If not found, try OS Environment Variable
      if replicate_api_key is None:
          replicate_api_key = os.environ.get("REPLICATE_API_TOKEN", "")
      assert (
          len(replicate_api_key) != 0
      ), "Please set your Replicate API key using SET REPLICATE_API_TOKEN = '' or set the environment variable (REPLICATE_API_TOKEN)"
      os.environ["REPLICATE_API_TOKEN"] = replicate_api_key
  
      model_id = (
          replicate.models.get("stability-ai/stable-diffusion")
          .versions.list()[0]
          .id
      )
  
      def generate_image(text_df: PandasDataframe):
          results = []
          queries = text_df[text_df.columns[0]]
          for query in queries:
              output = replicate.run(
                  "stability-ai/stable-diffusion:" + model_id,
                  input={"prompt": query},
              )
  
              # Download the image from the link
              response = requests.get(output[0])
              image = Image.open(BytesIO(response.content))
  
              # Convert the image to an array format suitable for the DataFrame
              frame = np.array(image)
              results.append(frame)
  
          return results
  
      df = pd.DataFrame({"response": generate_image(text_df=text_df)})
      return df
  
file_path: evadb/evadb/functions/stable_diffusion.py
imports: import os
  from io import BytesIO
  import numpy
  import pandas
  import requests
  from PIL import Image
  from evadb.catalog.catalog_type import NdArrayType
  from evadb.functions.abstract.abstract_function import AbstractFunction
  from evadb.functions.decorators.decorators import forward
  from evadb.functions.decorators.io_descriptors.data_types import PandasDataframe
  from evadb.utils.generic_utils import try_to_import_replicate
label_desc: Use image node_id 3 for calling the StableDiffusion obj's underlying member method code with example usage: obj.forward(text_df) and returns: df, results