              min_max=(25, 200),
              rounding=25,
              type=int,
              dest="preview_scale",
              default=50,
              group="preview",
              help="Percentage amount to scale the preview by."))
          argument_list.append(dict(
              opts=("-p", "--preview"),
              action="store_true",
 
</s> remove             help="Percentage amount to scale the preview by."))
 </s> add             help="Percentage amount to scale the preview by. 100%% is the model output size.")) </s> remove         argument_list.append(dict(
            opts=("-ae", "--align-eyes"),
            action="store_true",
            dest="align_eyes",
            group="extract",
            default=False,
            help="[Extract only] Perform extra alignment to ensure left/right eyes are at the "
                 "same height."))
 </s> add  </s> remove             min_max=(128, 512),
            default=256,
 </s> add             min_max=(256, 1024),
            default=512, </s> remove         argument_list.append(dict(
            opts=("-d", "--distributed"),
            action="store_true",
            default=False,
            backend="nvidia",
            group="settings",
            help="Use the Tensorflow Mirrored Distrubution Strategy to train on multiple GPUs."))
 </s> add 
            default=100,
              min_max=(25, 200),
              rounding=25,
              type=int,
              dest="preview_scale",
            default=100,
              group="preview",
              help="Percentage amount to scale the preview by."))
          argument_list.append(dict(
              opts=("-p", "--preview"),
              action="store_true",
keep keep keep keep replace keep keep keep keep keep
 Extract - Increase area and move centering (#1095)

* Extract
  - Implement aligner re-feeding
  - Add extract type to pipeline.ExtractMedia
  - Add pose annotation to debug
* Convert
  - implement centering
  - remove usage of feed and reference face properties
  - Remove distributed option from convert
  - Force update of alignments file on legacy receive
* Train
  - Resize preview image to model output size
  - Force legacy centering if centering does not exist in model's state file
  - Enable training on legacy face sets

* Alignments Tool
  - Update draw to include head/pose
  - Remove DFL drop + linting
  - Remove remove-frames job
  - remove align-eyes option
  - Update legacy masks to new extract type
  - Exit if attempting to merge version 1.0 alignments files with version 2.0 alignments files
  - Re-generate thumbnails on legacy upgrade
* Mask Tool
  - Update for new extract + bugfix full frame
* Manual Tool
  - Update to new extraction method
   - Disable legacy alignments,
   - extract box bugfix
   - extract faces - size to 512 and center on head
* Preview Tool
  - Display based on model centering
* Sort Tool
  - Use alignments for sort by face

* lib.aligner
  - Add Pose Class
  - Add AlignedFace Class
  - center _MEAN_FACE on x
  - Add meta information with versioning to alignments file
  - lib.aligner.get_align_matrix to use landmarks not face
  - Refactor aligned faces in lib.faces_detect
* lib.logger
  - larger file log padding
* lib.config
  - Fix global changeable_items
* lib.face_filter
  - Use new extracted face images
* lib.image
  - bump thumbnail default size to 96px 
lib/cli/args.py