diff --git a/eval/vbench_i2v/calc_vbench_i2v.py b/eval/vbench_i2v/calc_vbench_i2v.py
index fbbdd11..5692fac 100644
--- a/eval/vbench_i2v/calc_vbench_i2v.py
+++ b/eval/vbench_i2v/calc_vbench_i2v.py
@@ -1,6 +1,8 @@
 import argparse
 import os
 
+import torch
+
 from vbench import VBench
 from vbench2_beta_i2v import VBenchI2V
 
@@ -31,14 +33,14 @@ if __name__ == "__main__":
     os.makedirs(output_dir, exist_ok=True)
     video_path = args.video_folder
 
-    my_VBench_I2V = VBenchI2V("cuda", full_info_path, output_dir)
+    my_VBench_I2V = VBenchI2V(torch.device("cuda"), full_info_path, output_dir)
     for i2v_dim in i2v_dimensions:
         my_VBench_I2V.evaluate(videos_path=video_path, name=i2v_dim, dimension_list=[i2v_dim], resolution="1-1")
 
     kwargs = {}
     kwargs["imaging_quality_preprocessing_mode"] = "longer"  # use VBench/evaluate.py default
 
-    my_VBench = VBench("cuda", full_info_path, output_dir)
+    my_VBench = VBench(torch.device("cuda"), full_info_path, output_dir)
     for quality_dim in video_quality_dimensions:
         my_VBench.evaluate(
             videos_path=video_path, name=quality_dim, dimension_list=[quality_dim], mode="vbench_standard", **kwargs
diff --git a/eval/vbench_i2v/tabulate_vbench_i2v_scores.py b/eval/vbench_i2v/tabulate_vbench_i2v_scores.py
index fb6a518..8a9fdc1 100644
--- a/eval/vbench_i2v/tabulate_vbench_i2v_scores.py
+++ b/eval/vbench_i2v/tabulate_vbench_i2v_scores.py
@@ -23,7 +23,7 @@ I2V_QUALITY_LIST = [
 DIM_WEIGHT_I2V = {
     "camera_motion": 0.1,
     "i2v_subject": 1,
-    "i2v_background_consistency": 1,
+    "i2v_background": 1,
     "subject_consistency": 1,
     "background_consistency": 1,
     "motion_smoothness": 1,