      vgg19=dict(
          keras_name="VGG19", color_order="bgr", scaling=(0, 255), default_size=224),
      xception=dict(
          keras_name="Xception", scaling=(-1, 1), min_size=71, default_size=299),
      fs_original=dict(
          color_order="bgr", min_size=32, default_size=160))
  
  
  class Model(ModelBase):
      """ Phaze-A Faceswap Model.
  
 
</s> remove     nasnet_large=dict(
 </s> add     nasnet_large=_EncoderInfo( </s> remove     efficientnet_b2=dict(
 </s> add     efficientnet_b2=_EncoderInfo( </s> remove     efficientnet_v2_b3=dict(
 </s> add     efficientnet_v2_b3=_EncoderInfo( </s> remove     def __call__(self):
 </s> add     def __call__(self) -> keras.models.Model: </s> remove             model["kwargs"]["include_preprocessing"] = False
        return model
 </s> add             kwargs["include_preprocessing"] = False
        return model, kwargs
    fs_original=_EncoderInfo(
        keras_name="", color_order="bgr", min_size=32, default_size=160))
      vgg19=dict(
          keras_name="VGG19", color_order="bgr", scaling=(0, 255), default_size=224),
      xception=dict(
          keras_name="Xception", scaling=(-1, 1), min_size=71, default_size=299),
    fs_original=_EncoderInfo(
        keras_name="", color_order="bgr", min_size=32, default_size=160))
    fs_original=_EncoderInfo(
        keras_name="", color_order="bgr", min_size=32, default_size=160))
  
  
  class Model(ModelBase):
      """ Phaze-A Faceswap Model.
  
keep keep keep keep replace replace keep keep keep keep keep
 Model updates
- Increase model summary width
- Phaze A updates
  - Update some min/max values
  - Add Decoder Filter Slope Mode
  - Add additional arguments for Upsampling2D
  - Adjust upsampling method for multiple upsamples in FC layers
  - Typing 
plugins/train/model/phaze_a.py