diff --git a/codes/data_scripts/extract_subimages.py b/codes/data_scripts/extract_subimages.py
index a3dbd38f..f3d62e6c 100644
--- a/codes/data_scripts/extract_subimages.py
+++ b/codes/data_scripts/extract_subimages.py
@@ -13,18 +13,18 @@ import data.util as data_util  # noqa: E402
 
 def main():
     mode = 'single'  # single (one input folder) | pair (extract corresponding GT and LR pairs)
-    split_img = True
+    split_img = False
     opt = {}
     opt['n_thread'] = 20
     opt['compression_level'] = 3  # 3 is the default value in cv2
     # CV_IMWRITE_PNG_COMPRESSION from 0 to 9. A higher value means a smaller size and longer
     # compression time. If read raw images during training, use 0 for faster IO speed.
     if mode == 'single':
-        opt['input_folder'] = 'F:\\4k6k\\datasets\\vrp\\images_sized'
-        opt['save_folder'] = 'F:\\4k6k\\datasets\\vrp\\images_tiled'
-        opt['crop_sz'] = 320  # the size of each sub-image
+        opt['input_folder'] = 'F:\\4k6k\\datasets\\sft_ns_images\\images'
+        opt['save_folder'] = 'F:\\4k6k\\datasets\\sft_ns_images\\images_tiled'
+        opt['crop_sz'] = 300  # the size of each sub-image
         opt['step'] = 280  # step of the sliding crop window
-        opt['thres_sz'] = 200  # size threshold
+        opt['thres_sz'] = 120  # size threshold
         extract_single(opt, split_img)
     elif mode == 'pair':
         GT_folder = '../../datasets/div2k/DIV2K_train_HR'
diff --git a/codes/test.py b/codes/test.py
index 5f17b180..2793481f 100644
--- a/codes/test.py
+++ b/codes/test.py
@@ -17,7 +17,7 @@ if __name__ == "__main__":
     torch.backends.cudnn.benchmark = True
     want_just_images = True
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to options YMAL file.', default='../options/test_ESRGAN_adrianna_full.yml')
+    parser.add_argument('-opt', type=str, help='Path to options YMAL file.', default='../options/upsample_full_movie.yml')
     opt = option.parse(parser.parse_args().opt, is_train=False)
     opt = option.dict_to_nonedict(opt)
 
diff --git a/codes/train.py b/codes/train.py
index f372293b..c1cdc062 100644
--- a/codes/train.py
+++ b/codes/train.py
@@ -30,7 +30,7 @@ def init_dist(backend='nccl', **kwargs):
 def main():
     #### options
     parser = argparse.ArgumentParser()
-    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/train_vix_biggan.yml')
+    parser.add_argument('-opt', type=str, help='Path to option YAML file.', default='../options/finetune_hoh_resgen_xl_blurring.yml')
     parser.add_argument('--launcher', choices=['none', 'pytorch'], default='none',
                         help='job launcher')
     parser.add_argument('--local_rank', type=int, default=0)