code: def __init__(self, model_type=None, direction_path=None, **kwargs):
      super().__init__(model_type=model_type, **kwargs)
  
      if direction_path is None and model_type is not None:
          assert (
              model_type in model_cfgs
          ), f"There is not any pretrained direction file for {model_type} model."
          direction_path = get_path_from_url(
              model_cfgs[model_type]["direction_urls"]
          )
      self.directions = paddle.load(direction_path)
  
file_path: PaddleHub/modules/image/Image_gan/gan/styleganv2_editing/model.py
imports: import os
  import cv2
  import numpy
  import paddle
  from ppgan.utils.download import get_path_from_url
  from .basemodel import StyleGANv2Predictor
label_desc: Use image node_id 1 to create a new StyleGANv2EditingPredictor object from inherited base classes: StyleGANv2Predictor with example: obj = StyleGANv2EditingPredictor(model_type, direction_path)