          outputs = [var_x]
  
          if self.config.get("learn_mask", False):
              var_y = var_xy
              mask_a_complexity = 384
              for idx in range(self.upscalers_no-2):
                  var_y = UpscaleBlock(mask_a_complexity // 2**idx, activation="leakyrelu")(var_y)
              var_y = UpscaleBlock(mask_a_complexity // 2**(idx + 1), activation="leakyrelu")(var_y)
 
</s> remove             var_x = Conv2DBlock(encoder_complexity * 2**idx, activation="leakyrelu")(var_x)
 </s> add             var_x = Conv2DBlock(encoder_complexity * 2**idx, activation=None)(var_x)
            var_x = LeakyReLU(alpha=0.2)(var_x)
            var_y = LeakyReLU(alpha=0.1)(var_y)

          outputs = [var_x]
  
          if self.config.get("learn_mask", False):
              var_y = var_xy
            var_y = LeakyReLU(alpha=0.1)(var_y)

              mask_a_complexity = 384
              for idx in range(self.upscalers_no-2):
                  var_y = UpscaleBlock(mask_a_complexity // 2**idx, activation="leakyrelu")(var_y)
              var_y = UpscaleBlock(mask_a_complexity // 2**(idx + 1), activation="leakyrelu")(var_y)
keep keep keep add keep keep keep keep
 Fixups:
  - lib.gui.display - Catch error when trying to delete non-existant notebook tabs
  - lib.model.nn_blocks.ResidualBlock: Remove first LeakyReLU (explicit > implicit)
  - lib.model.nn_blocks._get_default_initializer - Always use ConvAware if selected
  - plugins.model.model - Add explicit leakyReLUs for ResBlocks 
plugins/train/model/realface.py