diff --git a/main.py b/main.py
index d2f56b7..a07e302 100644
--- a/main.py
+++ b/main.py
@@ -49,6 +49,7 @@ if __name__ == "__main__":
     p.add_argument('--cpu-only', action="store_true", dest="cpu_only", default=False, help="Extract on CPU. Forces to use MT extractor.")
     p.set_defaults (func=process_extract)
 
+    """
     def process_extract_fanseg(arguments):
         os_utils.set_process_lowest_prio()
         from mainscripts import Extractor
@@ -63,6 +64,7 @@ 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_extract_fanseg)
+    """
     
     def process_sort(arguments):
         os_utils.set_process_lowest_prio()
@@ -87,15 +89,15 @@ if __name__ == "__main__":
         if arguments.recover_original_aligned_filename:
             Util.recover_original_aligned_filename (input_path=arguments.input_dir)
             
-        if arguments.remove_fanseg:
-            Util.remove_fanseg_folder (input_path=arguments.input_dir)
+        #if arguments.remove_fanseg:
+        #    Util.remove_fanseg_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.")
     p.add_argument('--add-landmarks-debug-images', action="store_true", dest="add_landmarks_debug_images", default=False, help="Add landmarks debug image for aligned faces.")
     p.add_argument('--recover-original-aligned-filename', action="store_true", dest="recover_original_aligned_filename", default=False, help="Recover original aligned filename.")
-    p.add_argument('--remove-fanseg', action="store_true", dest="remove_fanseg", default=False, help="Remove fanseg mask from aligned faces.")
+    #p.add_argument('--remove-fanseg', action="store_true", dest="remove_fanseg", default=False, help="Remove fanseg mask from aligned faces.")
     
     p.set_defaults (func=process_util)
 
diff --git a/mainscripts/Extractor.py b/mainscripts/Extractor.py
index 1797a88..58328ad 100644
--- a/mainscripts/Extractor.py
+++ b/mainscripts/Extractor.py
@@ -673,7 +673,9 @@ class DeletedFilesSearcherSubprocessor(Subprocessor):
     def get_result(self):
         return self.result
 
-def extract_fanseg(input_dir, device_args={} ):#ignore_extracted
+
+#currently unused
+def extract_fanseg(input_dir, device_args={} ):
     multi_gpu = device_args.get('multi_gpu', False)
     cpu_only = device_args.get('cpu_only', False)
     
diff --git a/models/Model_SAE/Model.py b/models/Model_SAE/Model.py
index c46ef02..12dfffd 100644
--- a/models/Model_SAE/Model.py
+++ b/models/Model_SAE/Model.py
@@ -411,14 +411,7 @@ class SAEModel(ModelBase):
                 st_m.append ( np.concatenate ( ar, axis=1) )
                 
             result += [ ('SAE masked', np.concatenate (st_m, axis=0 )), ]
-        else:
-            st_m = []
-            for i in range(0, len(test_S)):
-                ar = S[i]*test_S_m[i], SS[i], D[i]*test_D_m[i], DD[i], SD[i]
-                st_m.append ( np.concatenate ( ar, axis=1) )
-                
-            result += [ ('SAE masked', np.concatenate (st_m, axis=0 )), ]
-            
+
         return result
 
     def predictor_func (self, face):