added FacesetRelighter:

Synthesize new faces from existing ones by relighting them using DeepPortraitRelighter network.
With the relighted faces neural network will better reproduce face shadows.

Therefore you can synthsize shadowed faces from fully lit faceset.
https://i.imgur.com/wxcmQoi.jpg

as a result, better fakes on dark faces:
https://i.imgur.com/5xXIbz5.jpg

in OpenCL build Relighter runs on CPU,

install pytorch directly via pip install, look at requirements

main.py

@@ -63,7 +63,7 @@ if __name__ == "__main__":
     p.add_argument('--multi-gpu', action="store_true", dest="multi_gpu", default=False, help="Enables multi GPU.")
     p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Extract on CPU.")
     p.set_defaults (func=process_dev_extract_vggface2_dataset)
-    
+
     def process_dev_extract_umd_csv(arguments):
         os_utils.set_process_lowest_prio()
         from mainscripts import Extractor
@@ -78,8 +78,8 @@ if __name__ == "__main__":
     p.add_argument('--multi-gpu', action="store_true", dest="multi_gpu", default=False, help="Enables multi GPU.")
     p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Extract on CPU.")
     p.set_defaults (func=process_dev_extract_umd_csv)
-    
-    
+
+
     def process_dev_apply_celebamaskhq(arguments):
         os_utils.set_process_lowest_prio()
         from mainscripts import dev_misc
@@ -130,10 +130,10 @@ if __name__ == "__main__":
 
         #if arguments.remove_fanseg:
         #    Util.remove_fanseg_folder (input_path=arguments.input_dir)
-        
+
         if arguments.remove_ie_polys:
             Util.remove_ie_polys_folder (input_path=arguments.input_dir)
-        
+
     p = subparsers.add_parser( "util", help="Utilities.")
     p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
     p.add_argument('--convert-png-to-jpg', action="store_true", dest="convert_png_to_jpg", default=False, help="Convert DeepFaceLAB PNG files to JPEG.")
@@ -190,7 +190,7 @@ if __name__ == "__main__":
         Converter.main (args, device_args)
 
     p = subparsers.add_parser( "convert", help="Converter")
-    p.add_argument('--training-data-src-dir', action=fixPathAction, dest="training_data_src_dir", help="(optional, may be required by some models) Dir of extracted SRC faceset.")    
+    p.add_argument('--training-data-src-dir', action=fixPathAction, dest="training_data_src_dir", help="(optional, may be required by some models) Dir of extracted SRC faceset.")
     p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
     p.add_argument('--output-dir', required=True, action=fixPathAction, dest="output_dir", help="Output directory. This is where the converted files will be stored.")
     p.add_argument('--aligned-dir', action=fixPathAction, dest="aligned_dir", help="Aligned directory. This is where the extracted of dst faces stored.")
@@ -270,9 +270,29 @@ if __name__ == "__main__":
     p.add_argument('--confirmed-dir', required=True, action=fixPathAction, dest="confirmed_dir", help="This is where the labeled faces will be stored.")
     p.add_argument('--skipped-dir', required=True, action=fixPathAction, dest="skipped_dir", help="This is where the labeled faces will be stored.")
     p.add_argument('--no-default-mask', action="store_true", dest="no_default_mask", default=False, help="Don't use default mask.")
-    
+
     p.set_defaults(func=process_labelingtool_edit_mask)
 
+    def process_relight_faceset(arguments):
+        from mainscripts import FacesetRelighter
+        FacesetRelighter.relight (arguments.input_dir, arguments.lighten, arguments.random_one)
+
+    def process_delete_relighted(arguments):
+        from mainscripts import FacesetRelighter
+        FacesetRelighter.delete_relighted (arguments.input_dir)
+
+    facesettool_parser = subparsers.add_parser( "facesettool", help="Faceset tools.").add_subparsers()
+
+    p = facesettool_parser.add_parser ("relight", help="Synthesize new faces from existing ones by relighting them. With the relighted faces neural network will better reproduce face shadows.")
+    p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory of aligned faces.")
+    p.add_argument('--lighten', action="store_true", dest="lighten", default=None, help="Lighten the faces.")
+    p.add_argument('--random-one', action="store_true", dest="random_one", default=None, help="Relight the faces only with one random direction, otherwise relight with all directions.")
+    p.set_defaults(func=process_relight_faceset)
+
+    p = facesettool_parser.add_parser ("delete_relighted", help="Delete relighted faces.")
+    p.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory of aligned faces.")
+    p.set_defaults(func=process_delete_relighted)
+
     def bad_args(arguments):
         parser.print_help()
         exit(0)