code: def predict(self, df, args=None):
      args = self.model_storage.json_get("args")
  
      if args["task"] == "text-to-image":
          preds = self._process_text_image(df, args)
      elif args["task"] == "image-to-image":
          preds = self._process_image_image(df, args)
      elif args["task"] == "image-upscaling":
          preds = self._process_image_upscaling(df, args)
      elif args["task"] == "image-masking":
          preds = self._process_image_masking(df, args)
  
      result_df = pd.DataFrame()
  
      result_df["predictions"] = preds
  
      result_df = result_df.rename(
          columns={"predictions": args["target"]}
      )
  
      return result_df
  
file_path: mindsdb/mindsdb/integrations/handlers/stabilityai_handler/stabilityai_handler.py
imports: from typing import Optional, Dict
  import pandas
  from mindsdb.integrations.handlers.stabilityai_handler.stabilityai import StabilityAPIClient
  from mindsdb.integrations.libs.base import BaseMLEngine
  from mindsdb.utilities import log
label_desc: Use image node_id 8 for calling the StabilityAIHandler obj's underlying member method code with example usage: obj.predict(df, args) and returns: result_df