**LightX2V** is an advanced lightweight video generation inference framework engineered to deliver efficient, high-performance video synthesis solutions. This unified platform integrates multiple state-of-the-art video generation techniques, supporting diverse generation tasks including text-to-video (T2V) and image-to-video (I2V). **X2V represents the transformation of different input modalities (X, such as text or images) into video output (V)**.
**LightX2V** is an advanced lightweight video generation inference framework engineered to deliver efficient, high-performance video synthesis solutions. This unified platform integrates multiple state-of-the-art video generation techniques, supporting diverse generation tasks including text-to-video (T2V) and image-to-video (I2V). **X2V represents the transformation of different input modalities (X, such as text or images) into video output (V)**.
> 🌐 **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.
## :fire: Latest News
## :fire: Latest News
-**December 4, 2025:** 🚀 Supported GGUF format model inference & deployment on Cambricon MLU590/MetaX C500.
-**December 4, 2025:** 🚀 Supported GGUF format model inference & deployment on Cambricon MLU590/MetaX C500.
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## 💡 Quick Start
## 💡 Quick Start
> 🌐 **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.
For comprehensive usage instructions, 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/)**
For comprehensive usage instructions, 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/)**
**We highly recommend using the Docker environment, as it is the simplest and fastest way to set up the environment. For details, please refer to the Quick Start section in the documentation.**
**We highly recommend using the Docker environment, as it is the simplest and fastest way to set up the environment. For details, please refer to the Quick Start section in the documentation.**