          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),
 
</s> remove                             choices=("Masked", "Adjust"), # case sensitive because this is used to load a plug-in.
 </s> add                             choices=("Masked", "Adjust", "GAN"), # case sensitive because this is used to load a plugin. </s> remove                             choices=("Original", "LowMem"), # case sensitive because this is used to load a plug-in.
 </s> add                             choices=("Original", "LowMem", "GAN"), # case sensitive because this is used to load a plug-in. </s> remove                             choices=("Original", "LowMem"),
 </s> add                             choices=("Original", "LowMem", "GAN"),
        if conv_name.startswith("GAN"):
            assert model_name.startswith("GAN") is True, "GAN converter can only be used with GAN model!"
        else:
            assert model_name.startswith("GAN") is False, "GAN model can only be used with GAN converter!"

          model_name = self.arguments.trainer
          conv_name = self.arguments.converter
          
        if conv_name.startswith("GAN"):
            assert model_name.startswith("GAN") is True, "GAN converter can only be used with GAN model!"
        else:
            assert model_name.startswith("GAN") is False, "GAN model can only be used with GAN 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 add keep keep keep keep keep keep
 Adding GAN plugin (#102)

Update GAN plugin to latest official version 
scripts/convert.py