          # Original & LowMem models go with Adjust or Masked converter
          model_name = self.arguments.trainer
          conv_name = self.arguments.converter
          
          model = PluginLoader.get_model(model_name)(self.arguments.model_dir)
          if not model.load(self.arguments.swap_model):
              print('Model Not Found! A valid model must be provided to continue!')
              exit(1)
  
          converter = PluginLoader.get_converter(conv_name)(model.converter(False),
 
</s> remove         model = PluginLoader.get_model(trainer)(self.arguments.model_dir)
 </s> add         model = PluginLoader.get_model(trainer)(get_folder(self.arguments.model_dir)) </s> remove             
            if not self.check_skipframe(filename): # process as normal
                for idx, face in faces:
                    image = converter.patch_image(image, face)

            output_file = self.output_dir / Path(filename).name
 </s> add 
        model = PluginLoader.get_model(model_name)(get_folder(self.arguments.model_dir))
          # Original & LowMem models go with Adjust or Masked converter
          model_name = self.arguments.trainer
          conv_name = self.arguments.converter
          
        model = PluginLoader.get_model(model_name)(get_folder(self.arguments.model_dir))
          if not model.load(self.arguments.swap_model):
              print('Model Not Found! A valid model must be provided to continue!')
              exit(1)
  
          converter = PluginLoader.get_converter(conv_name)(model.converter(False),
keep keep keep keep replace keep keep keep keep keep
 Changes I forgot to push :-/ (#136) 
scripts/convert.py