               "requires more VRAM."
               "\n\tupscale_hybrid - Developed by Andenixa. Uses a combination of PixelShuffler and "
               "Upsampling2D to upscale, saving about 1/3rd of VRAM of the heaviest methods.",
          datatype=str,
          choices=["subpixel", "resize_images", "upscale_fast", "upscale_hybrid"],
          gui_radio=True,
          group="decoder",
          fixed=True),
      dec_norm=dict(
          default="none",
 
</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              "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         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 "
        choices=["subpixel", "resize_images", "upscale_fast", "upscale_hybrid", "upscale_dny"],
               "requires more VRAM."
               "\n\tupscale_hybrid - Developed by Andenixa. Uses a combination of PixelShuffler and "
               "Upsampling2D to upscale, saving about 1/3rd of VRAM of the heaviest methods.",
          datatype=str,
        choices=["subpixel", "resize_images", "upscale_fast", "upscale_hybrid", "upscale_dny"],
          gui_radio=True,
          group="decoder",
          fixed=True),
      dec_norm=dict(
          default="none",
keep keep keep keep replace keep keep keep keep keep
 Phaze-A - Updates for future implementations 
plugins/train/model/phaze_a_defaults.py