          self.model_dir = model_dir
          self.gpus = gpus
  
          optimizer = Adam(1e-4, 0.5)
  
          # Build and compile the discriminator
          self.netDA, self.netDB = self.build_discriminator()
 
</s> remove         self.netGA.save_weights(str(self.model_dir / netGAH5))
        self.netGB.save_weights(str(self.model_dir / netGBH5))
 </s> add         if self.gpus > 1:
            self.netGA_sm.save_weights(str(self.model_dir / netGAH5))
            self.netGB_sm.save_weights(str(self.model_dir / netGBH5))
        else:
            self.netGA.save_weights(str(self.model_dir / netGAH5))
            self.netGB.save_weights(str(self.model_dir / netGBH5))

        assert self.gpus == 1, "Error: GAN128 cannot use multiple gpus right now. See https://github.com/deepfakes/faceswap/issues/287"

          self.model_dir = model_dir
          self.gpus = gpus
        assert self.gpus == 1, "Error: GAN128 cannot use multiple gpus right now. See https://github.com/deepfakes/faceswap/issues/287"
  
          optimizer = Adam(1e-4, 0.5)
  
          # Build and compile the discriminator
          self.netDA, self.netDB = self.build_discriminator()
keep add keep keep keep keep keep
 Fix gan128 (#288)

* Complete parity fix for GAN128.

This brings GAN128 to parity with GAN in terms of multi GPU support.

Unfortunately, it fails to run due to a naming error.

('The name "model_4" is used 2 times in the model. All layer names should be unique. Layer names: ', ['input_6', 'lambda_1', 'lambda_2', 'model_6', 'model_4', 'model_4'])

* Fix for GAN128 until #287 can be resolved

Issue #287 details why GAN128 cannot be fixed until Keras is fixed upstream.

* Changes to PR as per Clorr

Made changes to error handling to split into separate PR as requested by Clorr. 
plugins/Model_GAN128/Model.py