diff --git a/TeaCache4ConsisID/README.md b/TeaCache4ConsisID/README.md
index 857b53a..88bed68 100644
--- a/TeaCache4ConsisID/README.md
+++ b/TeaCache4ConsisID/README.md
@@ -1,7 +1,9 @@
 <!-- ## **TeaCache4ConsisID** -->
 # TeaCache4ConsisID
 
-[TeaCache](https://github.com/LiewFeng/TeaCache) can speedup [ConsisID](https://github.com/PKU-YuanGroup/ConsisID) 2x without much visual quality degradation, in a training-free manner.
+[TeaCache](https://github.com/LiewFeng/TeaCache) can speedup [ConsisID](https://github.com/PKU-YuanGroup/ConsisID) 2.1x without much visual quality degradation, in a training-free manner. The following video shows the results generated by TeaCache-ConsisID with various `rel_l1_thresh` values: 0 (original), 0.1 (1.6x speedup), 0.15 (2.1x speedup), and 0.2 (2.7x speedup).
+
+https://github.com/user-attachments/assets/501d71ef-0e71-4ae9-bceb-51cc18fa33d8
 
 ## 📈 Inference Latency Comparisons on a Single H100 GPU
 
@@ -29,7 +31,7 @@ python3 teacache_sample_video.py \
     --output_path ./teacache_results
 ```
 
-To generate a video with 8 GPUs, you can use the following [here](https://github.com/PKU-YuanGroup/ConsisID/tree/main/tools).
+To generate a video with 8 GPUs, you can following [here](https://github.com/PKU-YuanGroup/ConsisID/tree/main/tools).
 
 ## Resources