diff --git a/facelib/LandmarksProcessor.py b/facelib/LandmarksProcessor.py
index a82d1a1..5f1cac9 100644
--- a/facelib/LandmarksProcessor.py
+++ b/facelib/LandmarksProcessor.py
@@ -247,7 +247,7 @@ def mirror_landmarks (landmarks, val):
     result[:,0] = val - result[:,0] - 1
     return result
     
-def draw_landmarks (image, image_landmarks, color):
+def draw_landmarks (image, image_landmarks, color=(0,255,0)):
     if len(image_landmarks) != 68:
         raise Exception('get_image_eye_mask works only with 68 landmarks')   
         
@@ -274,7 +274,7 @@ def draw_landmarks (image, image_landmarks, color):
         
 def draw_rect_landmarks (image, rect, image_landmarks, face_size, face_type):
     image_utils.draw_rect (image, rect, (255,0,0), 2 )
-    draw_landmarks(image, image_landmarks, (0,255,0) )
+    draw_landmarks(image, image_landmarks)
     
     image_to_face_mat = get_transform_mat (image_landmarks, face_size, face_type)        
     points = transform_points ( [ (0,0), (0,face_size-1), (face_size-1, face_size-1), (face_size-1,0) ], image_to_face_mat, True)
diff --git a/main.py b/main.py
index 4247da1..eee0e7f 100644
--- a/main.py
+++ b/main.py
@@ -70,9 +70,13 @@ if __name__ == "__main__":
         if arguments.convert_png_to_jpg:
             Util.convert_png_to_jpg_folder (input_path=arguments.input_dir)
         
+        if arguments.add_landmarks_debug_images:
+            Util.add_landmarks_debug_images (input_path=arguments.input_dir)
+        
     util_parser = subparsers.add_parser( "util", help="Utilities.")     
     util_parser.add_argument('--input-dir', required=True, action=fixPathAction, dest="input_dir", help="Input directory. A directory containing the files you wish to process.")
     util_parser.add_argument('--convert-png-to-jpg', action="store_true", dest="convert_png_to_jpg", default=False, help="Convert DeepFaceLAB PNG files to JPEG.")
+    util_parser.add_argument('--add-landmarks-debug-images', action="store_true", dest="add_landmarks_debug_images", default=False, help="Add landmarks debug image for aligned faces.")
     util_parser.set_defaults (func=process_util)
     
     def process_train(arguments):      
diff --git a/mainscripts/Util.py b/mainscripts/Util.py
index 39a9e69..22e8455 100644
--- a/mainscripts/Util.py
+++ b/mainscripts/Util.py
@@ -48,3 +48,26 @@ def convert_png_to_jpg_folder (input_path):
     for filepath in tqdm( Path_utils.get_image_paths(input_path), desc="Converting", ascii=True):
         filepath = Path(filepath)
         convert_png_to_jpg_file(filepath)
+        
+def add_landmarks_debug_images(input_path):
+    print ("Adding landmarks debug images...")
+
+    for filepath in tqdm( Path_utils.get_image_paths(input_path), desc="Processing", ascii=True):
+        filepath = Path(filepath)
+ 
+        img = cv2_imread(str(filepath))
+ 
+        if filepath.suffix == '.png':
+            dflimg = DFLPNG.load( str(filepath), print_on_no_embedded_data=True )
+        elif filepath.suffix == '.jpg':
+            dflimg = DFLJPG.load ( str(filepath), print_on_no_embedded_data=True )
+        else:
+            print ("%s is not a dfl image file" % (filepath.name) ) 
+            continue
+
+        if not (dflimg is None or img is None):
+            face_landmarks = dflimg.get_landmarks()
+            LandmarksProcessor.draw_landmarks(img, face_landmarks)
+            
+            output_file = '{}{}'.format( str(Path(str(input_path)) / filepath.stem),  '_debug.jpg')
+            cv2_imwrite(output_file, img, [int(cv2.IMWRITE_JPEG_QUALITY), 50] )