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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Lightweight Image Video Action Generation Inference Framework
| Date | Stars |
|---|---|
| 2026-07-24 | 2526 |
| 2026-07-25 | 2529 |
| 2026-07-28 | 2540 |
| 2026-07-30 | 2540 |
| 2026-08-06 | 2540 |
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<div align="center" style="font-family: charter;"> <h1>⚡️ LightX2V:<br> Light Video Generation Inference Framework</h1> <img alt="logo" src="assets/img_lightx2v.png" width=75%></img> [](https://opensource.org/licenses/Apache-2.0) [](https://deepwiki.com/ModelTC/lightx2v) [](https://lightx2v-en.readthedocs.io/en/latest) [](https://lightx2v-zhcn.readthedocs.io/zh-cn/latest) [](https://lightx2v-papers-zhcn.readthedocs.io/zh-cn/latest) [](https://hub.docker.com/r/lightx2v/lightx2v/tags) **\[ English | [中文](README_zh.md) \]** </div> -------------------------------------------------------------------------------- **LightX2V** is an advanced lightweight image/video generation inference framework engineered to deliver efficient, high-performance image/video synthesis solutions. This unified platform integrates multiple state-of-the-art image/video generation techniques, supporting diverse generation tasks including text-to-video (T2V), image-to-video (I2V), text-to-image (T2I), image-editing (I2I). **X2V represents the transformation of different input modalities (X, such as text or images) into vision output (Vision)**. > 🌐 **Try it online now!** Experience LightX2V without installation: **[LightX2V Studio](https://x2v.light-ai.top/login)** — a free, lightweight AI video platform with **LTX 2.3**, **Wan 2.2**, **SekoTalk**, **Qwen-Image**, **SeedVR2**, and more models and tasks. > 🤗 **HuggingFace Model Repository: [LightX2V HuggingFace](https://huggingface.co/lightx2v)** > 📝 **More content is available on our [LightX2V Blog](https://light-ai.top/LightX2V-BLOG/)** > 🌟 **Developer Newbie Guide: [LightX2V Developer Quick Start Guide](https://github.com/ModelTC/LightX2V/tree/main/examples/BeginnerGuide)** > 👋 **Join our WeChat group! LightX2V Robot WeChat ID: random42seed** ## 🧾 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. ```bash pip install ruff pre-commit pre-commit run --all-files ``` Besides the contributions from the LightX2V team, we have received contributions from some community developers, including but not limited to: - [zhtshr](https://github.com/zhtshr) - [triple-Mu](https://github.com/triple-Mu) - [vivienfanghuagood](https://github.com/vivienfanghuagood) - [yeahdongcn](https://github.com/yeahdongcn) - [kikidouloveme79](https://github.com/kikidouloveme79) - [ziyanxzy](https://github.com/ziyanxzy) - [Tyr0727](https://github.com/Tyr0727) - [hufangjian2017](https://github.com/hufangjian2017) - [Fatemanx](https://github.com/Fatemanx) ## :fire: Latest News - **July 23, 2026:** ⚡️ We release the blog: [LightX2V ROS: Closing the Loop for Action-Generating World Models](https://light-ai.top/LightX2V-BLOG/posts/LightX2V_ROS/) - **July 19, 2026:** ⚡️ We release the blog: [Wan2.2-NVFP4-Sparse: Extremely Fast Wan 2.2 14B Inference](https://light-ai.top/LightX2V-BLOG/posts/Wan22-NVFP4-Sparse/) - **June 15, 2026:** 🚀 Supported deployment on T-head PPU. - **May 29, 2026:** 🚀 We introduce an extremely efficient Wan 2.2 14B variant (T2V and I2V): [NVFP4 Quantization-Aware Step Distillation with Sparse Attention for Blackwell Architecture](https://huggingface.co/lightx2v/Wan2.2-NVFP4-Sparse). On a single RTX 5090 GPU, it achieves over 50× speedup. - **April 30, 2026:** 🚀 We now support deployment on iluvatar. Thanks to the iluvatar team. - **April 20, 2026:** 🚀 We are excited to release the [Wan2.2-I2V-A14B-4step-720p-high](https://huggingface.co/lightx2v/Wan2.2-Distill-Models/blob/main/wan
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Yang Yong (雍洋) · SenseTime · China
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Shiqiao Gu (谷石桥) · SenseTime · China
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Shankun Wang
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yihuiwen
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LiangLiu
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Kane
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:f2d9096888c7f820, topic:video-generation, readme:video generation, readme:text-to-video
matched fp:f2d9096888c7f820, topic:diffusion-models, readme:text-to-image, readme:image editing