diff --git a/backend/config.py b/backend/config.py
index 5a1e615..4aa6b9a 100644
--- a/backend/config.py
+++ b/backend/config.py
@@ -86,14 +86,14 @@ PIXEL_TOLERANCE_X = 20  # 允许检测框横向偏差的像素点数
 # ×××××××××× InpaintMode.STTN算法设置 start ××××××××××
 # 以下参数仅适用STTN算法时，才生效
 # 是否使用跳过检测，跳过字幕检测会省去很大时间，但是可能误伤无字幕的视频帧
-STTN_SKIP_DETECTION = False
+STTN_SKIP_DETECTION = True
 # 相邻帧数, 调大会增加显存占用，效果变好
 STTN_NEIGHBOR_STRIDE = 10
 # 参考帧长度, 调大会增加显存占用，效果变好
 STTN_REFERENCE_LENGTH = 10
 # 设置STTN算法最大同时处理的帧数量，设置越大速度越慢，但效果越好
 # 要保证STTN_MAX_LOAD_NUM大于STTN_NEIGHBOR_STRIDE和STTN_REFERENCE_LENGTH
-STTN_MAX_LOAD_NUM = 20
+STTN_MAX_LOAD_NUM = 30
 if STTN_MAX_LOAD_NUM < max(STTN_NEIGHBOR_STRIDE, STTN_REFERENCE_LENGTH):
     STTN_MAX_LOAD_NUM = max(STTN_NEIGHBOR_STRIDE, STTN_REFERENCE_LENGTH)
 # ×××××××××× InpaintMode.STTN算法设置 end ××××××××××
diff --git a/backend/inpaint/sttn_inpaint.py b/backend/inpaint/sttn_inpaint.py
index e562bfb..c721115 100644
--- a/backend/inpaint/sttn_inpaint.py
+++ b/backend/inpaint/sttn_inpaint.py
@@ -233,11 +233,11 @@ class STTNVideoInpaint:
         else:
             self.clip_gap = clip_gap
 
-    def __call__(self, input_mask=None, input_video_writer=None):
+    def __call__(self, input_mask=None, input_sub_remover=None, tbar=None):
         # 读取视频帧信息
         reader, frame_info = self.read_frame_info_from_video()
-        if input_video_writer is not None:
-            writer = input_video_writer
+        if input_sub_remover is not None:
+            writer = input_sub_remover.video_writer
         else:
             # 创建视频写入对象，用于输出修复后的视频
             writer = cv2.VideoWriter(self.video_out_path, cv2.VideoWriter_fourcc(*"mp4v"), frame_info['fps'], (frame_info['W_ori'], frame_info['H_ori']))
@@ -258,7 +258,6 @@ class STTNVideoInpaint:
             start_f = i * self.clip_gap  # 起始帧位置
             end_f = min((i + 1) * self.clip_gap, frame_info['len'])  # 结束帧位置
             print('Processing:', start_f + 1, '-', end_f, ' / Total:', frame_info['len'])
-            print('start frame: ', start_f, 'end frame: ', end_f)
             frames_hr = []  # 高分辨率帧列表
             frames = {}  # 帧字典，用于存储裁剪后的图像
             comps = {}  # 组合字典，用于存储修复后的图像
@@ -280,6 +279,10 @@ class STTNVideoInpaint:
             # 如果有要修复的区域
             if inpaint_area is not []:
                 for j in range(end_f - start_f):
+                    if input_sub_remover is not None and input_sub_remover.gui_mode:
+                        original_frame = copy.deepcopy(frames_hr[j])
+                    else:
+                        original_frame = None
                     frame = frames_hr[j]
                     for k in range(len(inpaint_area)):
                         # 将修复的图像重新扩展到原始分辨率，并融合到原始帧
@@ -288,6 +291,11 @@ class STTNVideoInpaint:
                         mask_area = mask[inpaint_area[k][0]:inpaint_area[k][1], :]
                         frame[inpaint_area[k][0]:inpaint_area[k][1], :, :] = mask_area * comp + (1 - mask_area) * frame[inpaint_area[k][0]:inpaint_area[k][1], :, :]
                     writer.write(frame)
+                    if input_sub_remover is not None and input_sub_remover.gui_mode:
+                        if tbar is not None:
+                            input_sub_remover.update_progress(tbar, increment=1)
+                        if original_frame is not None:
+                            input_sub_remover.preview_frame = cv2.hconcat([original_frame, frame])
         # 释放视频写入对象
         writer.release()
 
@@ -297,7 +305,7 @@ if __name__ == '__main__':
     video_path = '../../test/test.mp4'
     # 记录开始时间
     start = time.time()
-    sttn_video_inpaint = STTNVideoInpaint(video_path, mask_path, clip_gap=20)
+    sttn_video_inpaint = STTNVideoInpaint(video_path, mask_path, clip_gap=config.STTN_MAX_LOAD_NUM)
     sttn_video_inpaint()
     print(f'video generated at {sttn_video_inpaint.video_out_path}')
     print(f'time cost: {time.time() - start}')
diff --git a/backend/main.py b/backend/main.py
index 405129a..3c19993 100644
--- a/backend/main.py
+++ b/backend/main.py
@@ -662,7 +662,7 @@ class SubtitleRemover:
                                             self.preview_frame = cv2.hconcat([batch[i], inpainted_frame])
                                 self.update_progress(tbar, increment=len(batch))
 
-    def sttn_mode_with_no_detection(self):
+    def sttn_mode_with_no_detection(self, tbar):
         """
         使用sttn对选中区域进行重绘，不进行字幕检测
         """
@@ -673,7 +673,7 @@ class SubtitleRemover:
             mask_area_coordinates = [(xmin, xmax, ymin, ymax)]
             mask = create_mask(self.mask_size, mask_area_coordinates)
             sttn_video_inpaint = STTNVideoInpaint(self.video_path)
-            sttn_video_inpaint(input_mask=mask, input_video_writer=self.video_writer)
+            sttn_video_inpaint(input_mask=mask, input_sub_remover=self, tbar=tbar)
         else:
             print('please set subtitle area first')
 
@@ -681,7 +681,7 @@ class SubtitleRemover:
         # 是否跳过字幕帧寻找
         if config.STTN_SKIP_DETECTION:
             # 若跳过则世界使用sttn模式
-            self.sttn_mode_with_no_detection()
+            self.sttn_mode_with_no_detection(tbar)
         else:
             print('use sttn mode')
             sttn_inpaint = STTNInpaint()