code: def transfer(self, source, reference, with_face=False):
      source_input, face, crop_face = self.preprocess(source)
      reference_input, face, crop_face = self.preprocess(reference)
  
      consis_mask = np.float32(
          calculate_consis_mask(source_input[1], reference_input[1])
      )
      consis_mask = paddle.to_tensor(np.expand_dims(consis_mask, 0))
  
      if not (source_input and reference_input):
          if with_face:
              return None, None
          return
  
      for i in range(1, len(source_input) - 1):
          source_input[i] = paddle.to_tensor(
              np.expand_dims(source_input[i], 0)
          )
  
      for i in range(1, len(reference_input) - 1):
          reference_input[i] = paddle.to_tensor(
              np.expand_dims(reference_input[i], 0)
          )
  
      input_data = {
          "image_A": source_input[0],
          "image_B": reference_input[0],
          "mask_A_aug": source_input[1],
          "mask_B_aug": reference_input[1],
          "P_A": source_input[2],
          "P_B": reference_input[2],
          "consis_mask": consis_mask,
      }
  
      state_dicts = load(self.model_path)
      for net_name, net in self.model.nets.items():
          net.set_state_dict(state_dicts[net_name])
      result, _ = self.model.test(input_data)
      min_, max_ = result.min(), result.max()
      result += -min_
      result = paddle.divide(result, max_ - min_ + 1e-5)
      img = toImage(result)
  
      if with_face:
          return img, crop_face
  
      return img
  
imports: import argparse
  import os
  import sys
  from pathlib import Path
  import numpy
  import paddle
  import paddle.vision.transforms
  import ppgan.faceutils
  from paddle.utils.download import get_weights_path_from_url
  from PIL import Image
  from ppgan.models.builder import build_model
  from ppgan.utils.config import get_config
  from ppgan.utils.filesystem import load
  from ppgan.utils.options import parse_args
  from ppgan.utils.preprocess import *
label_desc: Use image node_id 2 for calling the Inference obj's underlying member method code with example usage: obj.transfer(source, reference, with_face) and returns: img, img,  crop_face, None,  None