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Unverified Commit d996a81c authored by Yang Yong (雍洋)'s avatar Yang Yong (雍洋) Committed by GitHub
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Update Readme (#492)

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## :fire: Latest News
- **November 21, 2025:** 🚀 We support the HunyuanVideo1.5 video generation model since Day 0. With the same number of GPUs, LightX2V can achieve a speed improvement of over 2 times and supports deployment on GPUs with lower memory (such as the 24GB RTX 4090). It also supports CFG/Ulysses parallelism, efficient offloading, TeaCache/MagCache technologies, and more. We will soon update our models on our [HuggingFace page](https://huggingface.co/lightx2v), including quantization, step distillation, VAE distillation, and other related models. Refer to [this](https://github.com/ModelTC/LightX2V/tree/main/scripts/hunyuan_video_15) for usage tutorials.
- **November 21, 2025:** 🚀 We support the [HunyuanVideo-1.5](https://huggingface.co/tencent/HunyuanVideo-1.5) video generation model since Day 0. With the same number of GPUs, LightX2V can achieve a speed improvement of over 2 times and supports deployment on GPUs with lower memory (such as the 24GB RTX 4090). It also supports CFG/Ulysses parallelism, efficient offloading, TeaCache/MagCache technologies, and more. We will soon update our models on our [HuggingFace page](https://huggingface.co/lightx2v), including quantization, step distillation, VAE distillation, and other related models. Refer to [this](https://github.com/ModelTC/LightX2V/tree/main/scripts/hunyuan_video_15) for usage tutorials.
## 💡 Quick Start
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## :fire: 最新动态
- **2025年11月21日:** 🚀 我们Day0支持了HunyuanVideo1.5的视频生成模型,同样GPU数量,LightX2V可带来约2倍以上的速度提升,并支持更低显存GPU部署(如24G RTX4090)。支持CFG并行/Ulysses并行,高效Offload,TeaCache/MagCache等技术。同时支持沐曦,寒武纪等国产芯片部署。我们很快将在我们的[HuggingFace主页](https://huggingface.co/lightx2v)更新量化,步数蒸馏,VAE蒸馏等相关模型。使用教程参考[这里](https://github.com/ModelTC/LightX2V/tree/main/scripts/hunyuan_video_15)
- **2025年11月21日:** 🚀 我们Day0支持了[HunyuanVideo-1.5](https://huggingface.co/tencent/HunyuanVideo-1.5)的视频生成模型,同样GPU数量,LightX2V可带来约2倍以上的速度提升,并支持更低显存GPU部署(如24G RTX4090)。支持CFG并行/Ulysses并行,高效Offload,TeaCache/MagCache等技术。同时支持沐曦,寒武纪等国产芯片部署。我们很快将在我们的[HuggingFace主页](https://huggingface.co/lightx2v)更新量化,步数蒸馏,VAE蒸馏等相关模型。使用教程参考[这里](https://github.com/ModelTC/LightX2V/tree/main/scripts/hunyuan_video_15)
## 💡 快速开始
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