diff --git a/utils/swap_func.py b/utils/swap_func.py
index 928ef81..7d4e566 100644
--- a/utils/swap_func.py
+++ b/utils/swap_func.py
@@ -1,8 +1,3 @@
-# -*- coding: utf-8 -*-
-# @Author: netrunner-exe
-# @Date:   2022-11-23 09:52:13
-# @Last Modified by:   netrunner-exe
-# @Last Modified time: 2022-12-22 14:45:19
 import glob
 import os
 import shutil
@@ -37,25 +32,27 @@ def __exit__(self, *_):
 
 
 def run_inference(opt, source, target, RetinaFace,
-                  ArcFace, G, result_img_path):
+                  ArcFace, G, result_img_path, source_z=None):
     try:
-        source = cv2.imread(source)
-        source = cv2.cvtColor(source, cv2.COLOR_RGB2BGR)  
-        source = np.array(source)
 
         if not isinstance(target, str):
-          target = target
+            target = target
         else:
-          target = cv2.imread(target)
+            target = cv2.imread(target)
 
         target = np.array(target)
 
-        source_h, source_w, _ = source.shape
-        source_a = RetinaFace(np.expand_dims(source, axis=0)).numpy()[0]
-        source_lm = get_lm(source_a, source_w, source_h)
-        source_aligned = norm_crop(source, source_lm, image_size=112, shrink_factor=1.0)
+        if source_z is None:
+            source = cv2.imread(source)
+            source = cv2.cvtColor(source, cv2.COLOR_RGB2BGR)
+            source = np.array(source)
 
-        source_z = ArcFace.predict(np.expand_dims(source_aligned / 255.0, axis=0))
+            source_h, source_w, _ = source.shape
+            source_a = RetinaFace(np.expand_dims(source, axis=0)).numpy()[0]
+            source_lm = get_lm(source_a, source_w, source_h)
+            source_aligned = norm_crop(source, source_lm, image_size=112, shrink_factor=1.0)
+
+            source_z = ArcFace.predict(np.expand_dims(source_aligned / 255.0, axis=0))
 
         blend_mask_base = np.zeros(shape=(256, 256, 1))
         blend_mask_base[77:240, 32:224] = 1
@@ -104,6 +101,8 @@ def run_inference(opt, source, target, RetinaFace,
 
         cv2.imwrite(result_img_path, cv2.cvtColor(total_img, cv2.COLOR_BGR2RGB))
 
+        return total_img, source_z
+
     except Exception as e:
         print('\n', e)
         sys.exit(0)
@@ -134,11 +133,14 @@ def video_swap(opt, face, input_video, RetinaFace, ArcFace, G, out_video_filenam
         shutil.rmtree(temp_results_dir)
     os.makedirs(temp_results_dir, exist_ok=True)
 
+    source_z = None
+
     for frame_index in tqdm(range(frame_count)):
         ret, frame = video.read()
         if ret:
-            run_inference(opt, face, frame, RetinaFace, ArcFace, G,
-                          os.path.join('./tmp_frames', 'frame_{:0>7d}.png'.format(frame_index)))
+            _, source_z = run_inference(opt, face, frame, RetinaFace, ArcFace, G,
+                                        os.path.join('./tmp_frames', 'frame_{:0>7d}.png'.format(frame_index)),
+                                        source_z=source_z)
     video.release()
 
     path = os.path.join('./tmp_frames', '*.png')
@@ -151,7 +153,8 @@ def video_swap(opt, face, input_video, RetinaFace, ArcFace, G, out_video_filenam
     try:
         clips.write_videofile(out_video_filename, codec='libx264', audio_codec='aac', ffmpeg_params=[
             '-pix_fmt:v', 'yuv420p', '-colorspace:v', 'bt709', '-color_primaries:v', 'bt709',
-            '-color_trc:v', 'bt709', '-color_range:v', 'tv', '-movflags', '+faststart'], logger=proglog.TqdmProgressBarLogger(print_messages=False))
+            '-color_trc:v', 'bt709', '-color_range:v', 'tv', '-movflags', '+faststart'],
+                              logger=proglog.TqdmProgressBarLogger(print_messages=False))
     except:
         sys.exit(0)