diff --git a/README.md b/README.md
index e51aee2..87d9d81 100755
--- a/README.md
+++ b/README.md
@@ -545,7 +545,8 @@ CogVideoX-Fun can be found in [Readme Train](scripts/cogvideox_fun/README_TRAIN.
 
 # Model zoo
 ## 1. Wan2.2-Fun
-| Name | Hugging Face | Model Scope | Description |
+
+| Name | Storage Size | Hugging Face | Model Scope | Description |
 |--|--|--|--|--|
 | Wan2.2-Fun-A14B-InP | 64.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP) | [😄Link](https://modelscope.cn/models/PAI/Wan2.2-Fun-A14B-InP) | Wan2.2-Fun-14B text-to-video generation weights, trained at multiple resolutions, supports start-end image prediction. |
 | Wan2.2-Fun-A14B-Control | 64.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-Control) | [😄Link](https://modelscope.cn/models/PAI/Wan2.2-Fun-A14B-Control)| Wan2.2-Fun-14B video control weights, supporting various control conditions such as Canny, Depth, Pose, MLSD, etc., and trajectory control. Supports multi-resolution (512, 768, 1024) video prediction at 81 frames, trained at 16 frames per second, with multilingual prediction support. |
diff --git a/README_ja-JP.md b/README_ja-JP.md
index 4a73f99..b7f5472 100755
--- a/README_ja-JP.md
+++ b/README_ja-JP.md
@@ -545,6 +545,7 @@ CogVideoX-Funは[Readme Train](scripts/cogvideox_fun/README_TRAIN.md)と[Readme
 # モデルの場所
 
 ## 1. Wan2.2-Fun
+
 | 名前 | ストレージ容量 | Hugging Face | Model Scope | 説明 |
 |------|----------------|------------|-------------|------|
 | Wan2.2-Fun-A14B-InP | 64.0 GB | [🤗Link](https://huggingface.co/alibaba-pai/Wan2.2-Fun-A14B-InP) | [😄Link](https://modelscope.cn/models/PAI/Wan2.2-Fun-A14B-InP) | Wan2.2-Fun-14Bのテキスト・画像から動画を生成するモデルの重み。複数の解像度で学習されており、動画の最初と最後のフレームの予測をサポートしています。 |