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6 changes: 3 additions & 3 deletions README.md
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> 🌐 **Try it online now!** Experience LightX2V without installation: **[LightX2V Online Service](https://x2v.light-ai.top/login)** - Free, lightweight, and fast AI digital human video generation platform.

> 🎉 **NEW: GenRL is here!** Check out our new **[GenRL Framework](https://github.com/ModelTC/GenRL)** for training visual generation models with reinforcement learning! High-performance RL-trained checkpoints now available on **[HuggingFace](https://huggingface.co/collections/lightx2v/genrl)**.

> 👋 **Join our WeChat group! LightX2V Rotbot WeChat ID: random42seed**

> 🌐 More content is available on our [LightX2V Blog](https://light-ai.top/LightX2V-BLOG/)

## 🧾 Community Code Contribution Guidelines

Before submitting, please ensure that the code format conforms to the project standard. You can use the following execution command to ensure the consistency of project code format.
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## :fire: Latest News

- **April 10, 2026:** 🎉 We released a technical blog on disaggregated deployment
- [LightX2V Disaggregated Deployment: Breaking the Memory and Throughput Bottlenecks of Diffusion Model Inference](blogs/EN/DisaggBlogPost.md)
- [LightX2V Disaggregated Deployment: Breaking the Memory and Throughput Bottlenecks of Diffusion Model Inference](https://light-ai.top/LightX2V-BLOG/posts/Disaggregation/)

- **March 5, 2026:** 🚀 We now support deployment on Intel AIPC PTL. Thanks to the Intel team.

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6 changes: 3 additions & 3 deletions README_zh.md
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> 🌐 **立即在线体验!** 无需安装即可体验 LightX2V:**[LightX2V 在线服务](https://x2v.light-ai.top/login)** - 免费、轻量、快速的AI数字人视频生成平台。

> 🎉 **新品发布:GenRL 来了!** 查看我们全新的 **[GenRL 框架](https://github.com/ModelTC/GenRL)**,使用强化学习训练视觉生成模型!高性能 RL 训练的 checkpoint 现已在 **[HuggingFace](https://huggingface.co/collections/lightx2v/genrl)** 开放下载。

> 👋 **加入微信交流群,LightX2V加群机器人微信号: random42seed**

> 🌐 更多内容请访问我们的 [LightX2V 博客](https://light-ai.top/LightX2V-BLOG/)

## 🧾 社区代码贡献指南

在提交之前,请确保代码格式符合项目规范。可以使用如下执行命令,确保项目代码格式的一致性。
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## :fire: 最新动态

- **2026年4月10日: ** 🎉 我们更新了分离部署的技术博客
- [LightX2V 分离部署:突破扩散模型推理的显存与吞吐瓶颈](blogs/ZH_CN/DisaggBlogPost.md)
- [LightX2V 分离部署:突破扩散模型推理的显存与吞吐瓶颈](https://light-ai.top/LightX2V-BLOG/posts/Disaggregation/)

- **2026年3月5日:** 🚀 支持 Intel AIPC PTL 的部署,感谢Intel团队。

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