          group="faceswap encoder configuration",
          fixed=True),
  
      # MobileNet
      mobilenet_width=dict(
          default=1.0,
 
</s> remove         default=40,
 </s> add         default=7, </s> remove              "the minimum and maximum sizes for each encoder.",
 </s> add              "the minimum and maximum sizes for each encoder. NB: The input size will be rounded "
             "down to the nearest 16 pixels.", </s> remove         Add, BatchNormalization, Concatenate, Dense, Dropout, Flatten, GaussianNoise,
 </s> add         Add, BatchNormalization, Concatenate, Dense, Dropout, Flatten, GaussianNoise, MaxPool2D, </s> remove         choices=["subpixel", "resize_images", "upscale_fast", "upscale_hybrid"],
 </s> add         choices=["subpixel", "resize_images", "upscale_fast", "upscale_hybrid", "upscale_dny"],
    fs_original_use_alt=dict(
        default=False,
        info="Use a slightly alternate version of the Faceswap Encoder."
             "\n\tTrue - Use the alternate variation of the Faceswap Encoder."
             "\n\tFalse - Use the original Faceswap Encoder.",
        datatype=bool,
        group="faceswap encoder configuration",
        fixed=True),
          group="faceswap encoder configuration",
          fixed=True),
    fs_original_use_alt=dict(
        default=False,
        info="Use a slightly alternate version of the Faceswap Encoder."
             "\n\tTrue - Use the alternate variation of the Faceswap Encoder."
             "\n\tFalse - Use the original Faceswap Encoder.",
        datatype=bool,
        group="faceswap encoder configuration",
        fixed=True),
  
      # MobileNet
      mobilenet_width=dict(
          default=1.0,
keep add keep keep keep keep
 Phaze-A - Updates for future implementations 
plugins/train/model/phaze_a_defaults.py