diff --git a/main.py b/main.py
index ae04f2a..f2f9fc8 100644
--- a/main.py
+++ b/main.py
@@ -132,6 +132,11 @@ if __name__ == "__main__":
                 except:
                     arguments.hist_match_threshold = 255                
             
+            try:
+                arguments.use_predicted_mask = bool ( {"1":True,"0":False}[input("Use predicted mask? [0 or 1] (default 1) : ").lower()] )
+            except:
+                arguments.use_predicted_mask = False    
+                
             try:
                 arguments.erode_mask_modifier = int ( input ("Choose erode mask modifier [-200..200] (default 0) : ") )
             except:
@@ -179,6 +184,7 @@ if __name__ == "__main__":
             mode = arguments.mode,
             masked_hist_match = arguments.masked_hist_match,
             hist_match_threshold = arguments.hist_match_threshold,
+            use_predicted_mask = arguments.use_predicted_mask,
             erode_mask_modifier = arguments.erode_mask_modifier,
             blur_mask_modifier = arguments.blur_mask_modifier,
             output_face_scale_modifier = arguments.output_face_scale_modifier,
@@ -198,6 +204,7 @@ if __name__ == "__main__":
     convert_parser.add_argument('--mode',  dest="mode", choices=['seamless','hist-match', 'hist-match-bw','seamless-hist-match'], default='seamless', help="Face overlaying mode. Seriously affects result.")
     convert_parser.add_argument('--masked-hist-match', type=str2bool, nargs='?', const=True, default=True, help="True or False. Excludes background for hist match. Default - True.")
     convert_parser.add_argument('--hist-match-threshold', type=int, dest="hist_match_threshold", default=255, help="Hist match threshold. Decrease to hide artifacts of hist match. Valid range [0..255]. Default 255")
+    convert_parser.add_argument('--use-predicted-mask', action="store_true", dest="use_predicted_mask", default=True, help="Use predicted mask by model. Default - True.")
     convert_parser.add_argument('--erode-mask-modifier', type=int, dest="erode_mask_modifier", default=0, help="Automatic erode mask modifier. Valid range [-200..200].")
     convert_parser.add_argument('--blur-mask-modifier', type=int, dest="blur_mask_modifier", default=0, help="Automatic blur mask modifier. Valid range [-200..200].")    
     convert_parser.add_argument('--output-face-scale-modifier', type=int, dest="output_face_scale_modifier", default=0, help="Output face scale modifier. Valid range [-50..50].")    
diff --git a/models/ConverterMasked.py b/models/ConverterMasked.py
index e531ac2..7b6f312 100644
--- a/models/ConverterMasked.py
+++ b/models/ConverterMasked.py
@@ -18,6 +18,7 @@ class ConverterMasked(ConverterBase):
                         masked_hist_match = True,
                         hist_match_threshold = 255,
                         mode='seamless', 
+                        use_predicted_mask = True,
                         erode_mask_modifier=0, 
                         blur_mask_modifier=0,
                         output_face_scale_modifier=0.0,                        
@@ -31,6 +32,7 @@ class ConverterMasked(ConverterBase):
         self.predictor_input_size = predictor_input_size
         self.output_size = output_size
         self.face_type = face_type        
+        self.use_predicted_mask = use_predicted_mask
         self.erode_mask = erode_mask
         self.blur_mask = blur_mask
         self.clip_border_mask_per = clip_border_mask_per
@@ -82,6 +84,10 @@ class ConverterMasked(ConverterBase):
 
         prd_face_bgr      = np.clip (predicted_bgra[:,:,0:3], 0, 1.0 )
         prd_face_mask_a_0 = np.clip (predicted_bgra[:,:,3], 0.0, 1.0)
+        
+        if not self.use_predicted_mask:
+            prd_face_mask_a_0 = predictor_input_mask_a_0
+        
         prd_face_mask_a_0[ prd_face_mask_a_0 < 0.001 ] = 0.0
         
         prd_face_mask_a   = np.expand_dims (prd_face_mask_a_0, axis=-1)