                   "\nL|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
                   "faces. The mask model has been trained by community members and will need "
                   "testing for further description. Profile faces may result in sub-par "
                   "performance."))
          argument_list.append(dict(
              opts=("-sc", "--scaling"),
              action=Radio,
              type=str.lower,
              default="none",
              choices=PluginLoader.get_available_convert_plugins("scaling", True),
              group="plugins",
              help="R|Performs a scaling process to attempt to get better definition on the "
                   "final swap. Some of these options have configurable settings in "
                   "'/config/convert.ini' or 'Settings > Configure Convert Plugins':"
                   "\nL|sharpen: Perform sharpening on the final face."
                   "\nL|none: Don't perform any scaling operations."))
          argument_list.append(dict(
              opts=("-w", "--writer"),
              action=Radio,
              type=str,
              default="opencv",
 
</s> remove         "default": "unsharp_mask",
 </s> add         "default": "none", </s> remove     selected_scaling: str
        The selected scaling type
 </s> add  </s> remove         self._adjustments = dict(box=None, mask=None, color=None, seamless=None, scaling=None)
 </s> add         self._adjustments = dict(box=None, mask=None, color=None, seamless=None, sharpening=None) </s> remove         if self._adjustments["scaling"] is not None:
            new_image = self._adjustments["scaling"].run(new_image)
 </s> add         if self._adjustments["sharpening"] is not None:
            new_image = self._adjustments["sharpening"].run(new_image)
                   "\nL|unet-dfl: Mask designed to provide smart segmentation of mostly frontal "
                   "faces. The mask model has been trained by community members and will need "
                   "testing for further description. Profile faces may result in sub-par "
                   "performance."))












          argument_list.append(dict(
              opts=("-w", "--writer"),
              action=Radio,
              type=str,
              default="opencv",
keep keep keep keep replace replace replace replace replace replace replace replace replace replace replace replace keep keep keep keep keep
 Convert - Move scaling option exclusively to config 
lib/cli/args.py