Merge pull request #102 from ModelTC/temp

update README

README.md

-# LightX2V: Light Video Generation Inference Framework
+<div align="center" style="font-family: charter;">
+  <h1>⚡️ LightX2V:<br> Light Video Generation Inference Framework</h1>
 
-<div align="center" id="lightx2v">
 <img alt="logo" src="assets/img_lightx2v.png" width=75%></img>
 
 [![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 [![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/ModelTC/lightx2v)
+[![GitHub Stars](https://img.shields.io/github/stars/ModelTC/lightx2v.svg?style=social&label=Star&maxAge=60)](https://github.com/ModelTC/lightx2v)
+![visitors](https://komarev.com/ghpvc/?username=lightx2v&label=visitors)
 [![Doc](https://img.shields.io/badge/docs-English-99cc2)](https://lightx2v-en.readthedocs.io/en/latest)
 [![Doc](https://img.shields.io/badge/文档-中文-99cc2)](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest)
 [![Docker](https://badgen.net/badge/icon/docker?icon=docker&label)](https://hub.docker.com/r/lightx2v/lightx2v/tags)
 
+**\[ English | [中文](README_zh.md) | [日本語](README_ja.md) \]**
+
 </div>
 
 --------------------------------------------------------------------------------
@@ -16,51 +20,65 @@
 **LightX2V** is a lightweight video generation inference framework designed to provide an inference tool that leverages multiple advanced video generation inference techniques. As a unified inference platform, this framework supports various generation tasks such as text-to-video (T2V) and image-to-video (I2V) across different models. **X2V means transforming different input modalities (such as text or images) to video output.**
 
 
-## How to Start
-
-Please refer to our documentation:
-
-[English Docs](https://lightx2v-en.readthedocs.io/en/latest/) | [中文文档](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest/)
+## 💡 How to Start
 
+Please refer to our documentation: **[English Docs](https://lightx2v-en.readthedocs.io/en/latest/) | [中文文档](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest/)**.
 
-## Supported Model List
 
-✅ [HunyuanVideo-T2V](https://huggingface.co/tencent/HunyuanVideo)
+## 🤖 Supported Model List
 
-✅ [HunyuanVideo-I2V](https://huggingface.co/tencent/HunyuanVideo-I2V)
+- ✅ [HunyuanVideo-T2V](https://huggingface.co/tencent/HunyuanVideo)
+- ✅ [HunyuanVideo-I2V](https://huggingface.co/tencent/HunyuanVideo-I2V)
+- ✅ [Wan2.1-T2V](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)
+- ✅ [Wan2.1-I2V](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P)
+- ✅ [Wan2.1-T2V-StepDistill-CfgDistill](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill)
+- ✅ [Wan2.1-T2V-CausVid](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid)
+- ✅ [SkyReels-V2-DF](https://huggingface.co/Skywork/SkyReels-V2-DF-14B-540P)
+- ✅ [CogVideoX1.5-5B-T2V](https://huggingface.co/THUDM/CogVideoX1.5-5B)
 
-✅ [Wan2.1-T2V](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)
 
-✅ [Wan2.1-I2V](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P)
+## 🧾 Contributing Guidelines
 
-✅ [Wan2.1-T2V-StepDistill-CfgDistill](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill)
+We have prepared a pre-commit hook to enforce consistent code formatting across the project.
 
-✅ [Wan2.1-T2V-CausVid](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid)
+> [!TIP]
+> - Install the required dependencies:
+>
+> ```shell
+> pip install ruff pre-commit
+>```
+>
+> - Then, run the following command before commit:
+>
+> ```shell
+> pre-commit run --all-files
+>```
 
-✅ [SkyReels-V2-DF](https://huggingface.co/Skywork/SkyReels-V2-DF-14B-540P)
-
-✅ [CogVideoX1.5-5B-T2V](https://huggingface.co/THUDM/CogVideoX1.5-5B)
 
+Thank you for your contributions!
 
-## Contributing Guidelines
 
-We have prepared a `pre-commit` hook to enforce consistent code formatting across the project.
+## 🤝 Acknowledgments
 
-1. Install the required dependencies:
+We built the code for this repository by referencing the code repositories involved in all the models mentioned above.
 
-```shell
-pip install ruff pre-commit
-```
 
-2. Then, run the following command before commit:
+## 🌟 Star History
 
-```shell
-pre-commit run --all-files
-```
+[![Star History Chart](https://api.star-history.com/svg?repos=ModelTC/lightx2v&type=Timeline)](https://star-history.com/#ModelTC/llmc&Timeline)
 
-Thank you for your contributions!
 
+## ✏️ Citation
 
-## Acknowledgments
+If you find our framework useful to your research, please kindly cite our work:
 
-We built the code for this repository by referencing the code repositories involved in all the models mentioned above.
+```
+@misc{lightx2v,
+ author = {lightx2v contributors},
+ title = {LightX2V: Light Video Generation Inference Framework},
+ year = {2024},
+ publisher = {GitHub},
+ journal = {GitHub repository},
+ howpublished = {\url{https://github.com/ModelTC/lightx2v}},
+}
+```

README_ja.md

+<div align="center" style="font-family: charter;">
+  <h1>⚡️ LightX2V:<br> 軽量ビデオ生成推論フレームワーク</h1>
+
+<img alt="logo" src="assets/img_lightx2v.png" width=75%></img>
+
+[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/ModelTC/lightx2v)
+[![GitHub Stars](https://img.shields.io/github/stars/ModelTC/lightx2v.svg?style=social&label=Star&maxAge=60)](https://github.com/ModelTC/lightx2v)
+![visitors](https://komarev.com/ghpvc/?username=lightx2v&label=visitors)
+[![Doc](https://img.shields.io/badge/docs-English-99cc2)](https://lightx2v-en.readthedocs.io/en/latest)
+[![Doc](https://img.shields.io/badge/ドキュメント-日本語-99cc2)](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest)
+[![Docker](https://badgen.net/badge/icon/docker?icon=docker&label)](https://hub.docker.com/r/lightx2v/lightx2v/tags)
+
+**\[ [English](README.md) | [中文](README_zh.md) | 日本語 \]**
+</div>
+
+--------------------------------------------------------------------------------
+
+**LightX2V** は、複数の先進的なビデオ生成推論技術を組み合わせた 軽量ビデオ生成推論フレームワーク です。単一のプラットフォームで テキストからビデオ (T2V)、画像からビデオ (I2V) など多様な生成タスクとモデルをサポートします。**X2V は「さまざまな入力モダリティ（テキスト・画像など）をビデオに変換する」ことを意味します。**
+
+## 💡 はじめに
+
+詳細手順はドキュメントをご覧ください：**[English Docs](https://lightx2v-en.readthedocs.io/en/latest/)** | **[中文文档](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest/)**
+
+## 🤖 対応モデル一覧
+
+- ✅ [HunyuanVideo-T2V](https://huggingface.co/tencent/HunyuanVideo)
+- ✅ [HunyuanVideo-I2V](https://huggingface.co/tencent/HunyuanVideo-I2V)
+- ✅ [Wan 2.1-T2V](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)
+- ✅ [Wan 2.1-I2V](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P)
+- ✅ [Wan 2.1-T2V-StepDistill-CfgDistill](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill)
+- ✅ [Wan 2.1-T2V-CausVid](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid)
+- ✅ [SkyReels-V2-DF](https://huggingface.co/Skywork/SkyReels-V2-DF-14B-540P)
+- ✅ [CogVideoX 1.5-5B-T2V](https://huggingface.co/THUDM/CogVideoX1.5-5B)
+
+## 🧾 コントリビューションガイドライン
+
+プロジェクト全体でコードフォーマットを統一するため、`pre-commit` フックを用意しています。
+
+> [!Tip]
+> 1. 依存パッケージをインストール
+>    ```bash
+>    pip install ruff pre-commit
+>    ```
+> 2. コミット前に実行
+>    ```bash
+>    pre-commit run --all-files
+>    ```
+
+ご協力ありがとうございます！
+
+## 🤝 謝辞
+
+本リポジトリの実装は、上記すべてのモデル関連リポジトリを参考にしています。
+
+## 🌟 Star 推移
+
+[![Star History Chart](https://api.star-history.com/svg?repos=ModelTC/lightx2v&type=Timeline)](https://star-history.com/#ModelTC/lightx2v&Timeline)
+
+## ✏️ 引用
+
+本フレームワークが研究に役立った場合は、以下を引用してください。
+
+```bibtex
+@misc{lightx2v,
+  author    = {lightx2v contributors},
+  title     = {LightX2V: Light Video Generation Inference Framework},
+  year      = {2024},
+  publisher = {GitHub},
+  howpublished = {\url{https://github.com/ModelTC/lightx2v}},
+}

README_zh.md

+<div align="center" style="font-family: charter;">
+  <h1>⚡️ LightX2V：<br>轻量级视频生成推理框架</h1>
+
+<img alt="logo" src="assets/img_lightx2v.png" width=75%></img>
+
+[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
+[![Ask DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/ModelTC/lightx2v)
+[![GitHub Stars](https://img.shields.io/github/stars/ModelTC/lightx2v.svg?style=social&label=Star&maxAge=60)](https://github.com/ModelTC/lightx2v)
+![visitors](https://komarev.com/ghpvc/?username=lightx2v&label=visitors)
+[![Doc](https://img.shields.io/badge/docs-English-99cc2)](https://lightx2v-en.readthedocs.io/en/latest)
+[![Doc](https://img.shields.io/badge/文档-中文-99cc2)](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest)
+[![Docker](https://badgen.net/badge/icon/docker?icon=docker&label)](https://hub.docker.com/r/lightx2v/lightx2v/tags)
+
+**\[ [English](README.md) | 中文 | [日本語](README_ja.md) \]**
+</div>
+
+**LightX2V** 是一款轻量级视频生成推理框架，集成多种先进的视频生成推理技术，统一支持 文本生成视频 (T2V)、图像生成视频 (I2V) 等多种生成任务及模型。**“X2V” 表示将不同输入模态（文本、图像等）转换为视频输出。**
+
+## 💡 快速开始
+
+请参考文档：**[English Docs](https://lightx2v-en.readthedocs.io/en/latest/)** | **[中文文档](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest/)**
+
+## 🤖 支持的模型列表
+
+- ✅ [HunyuanVideo-T2V](https://huggingface.co/tencent/HunyuanVideo)
+- ✅ [HunyuanVideo-I2V](https://huggingface.co/tencent/HunyuanVideo-I2V)
+- ✅ [Wan2.1-T2V](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)
+- ✅ [Wan2.1-I2V](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P)
+- ✅ [Wan2.1-T2V-StepDistill-CfgDistill](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill)
+- ✅ [Wan2.1-T2V-CausVid](https://huggingface.co/lightx2v/Wan2.1-T2V-14B-CausVid)
+- ✅ [SkyReels-V2-DF](https://huggingface.co/Skywork/SkyReels-V2-DF-14B-540P)
+- ✅ [CogVideoX1.5-5B-T2V](https://huggingface.co/THUDM/CogVideoX1.5-5B)
+
+## 🧾 贡献指南
+
+我们使用 `pre-commit` 统一代码格式。
+
+> [!Tip]
+> - 下载需要的依赖:
+>
+> ```shell
+> pip install ruff pre-commit
+>```
+>
+> - 然后，再提交前运行下述指令:
+>
+> ```shell
+> pre-commit run --all-files
+>```
+
+欢迎贡献！
+
+## 🤝 致谢
+
+本仓库实现参考了以上列出的所有模型对应的代码仓库。
+
+## 🌟 Star 记录
+
+[![Star History Chart](https://api.star-history.com/svg?repos=ModelTC/lightx2v&type=Timeline)](https://star-history.com/#ModelTC/lightx2v&Timeline)
+
+## ✏️ 引用
+
+如果您觉得本框架对您的研究有帮助，请引用：
+
+```bibtex
+@misc{lightx2v,
+  author = {lightx2v contributors},
+  title  = {LightX2V: Light Video Generation Inference Framework},
+  year   = {2024},
+  publisher = {GitHub},
+  howpublished = {\url{https://github.com/ModelTC/lightx2v}},
+}
+```