          info="Input scaling for the encoder. Some of the encoders have large input sizes, which "
               "often are not helpful for Faceswap. This setting scales the dimensional space that "
               "the encoder works in. For example an encoder with a maximum input size of 224px "
               "will be input an image of 112px at 50%% scaling. See the Architecture tooltip for "
               "the minimum and maximum sizes for each encoder.",
          datatype=int,
          min_max=(0, 100),
          rounding=1,
          group="encoder",
          fixed=True),
 
</s> remove         default=40,
 </s> add         default=7, </s> remove              "\n\tfs_original: (32px - 160px). A configurable variant of the original facewap "
 </s> add              "\n\tfs_original: (32px - 1024px). A configurable variant of the original facewap " </s> remove              "Upsampling2D to upscale, saving about 1/3rd of VRAM of the heaviest methods.",
 </s> add              "Upsampling2D to upscale, saving about 1/3rd of VRAM of the heaviest methods."
             "\n\tupscale_dny - An alternative upscale implementation using Upsampling2D to "
             "upsale.", </s> remove         choices=["subpixel", "resize_images", "upscale_fast", "upscale_hybrid"],
 </s> add         choices=["subpixel", "resize_images", "upscale_fast", "upscale_hybrid", "upscale_dny"],
             "the minimum and maximum sizes for each encoder. NB: The input size will be rounded "
             "down to the nearest 16 pixels.",
          info="Input scaling for the encoder. Some of the encoders have large input sizes, which "
               "often are not helpful for Faceswap. This setting scales the dimensional space that "
               "the encoder works in. For example an encoder with a maximum input size of 224px "
               "will be input an image of 112px at 50%% scaling. See the Architecture tooltip for "
             "the minimum and maximum sizes for each encoder. NB: The input size will be rounded "
             "down to the nearest 16 pixels.",
          datatype=int,
          min_max=(0, 100),
          rounding=1,
          group="encoder",
          fixed=True),
keep keep keep keep replace keep keep keep keep keep
 Phaze-A - Updates for future implementations 
plugins/train/model/phaze_a_defaults.py