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# Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
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# [CVPR 2025] Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model
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@ -64,6 +64,7 @@ We introduce Timestep Embedding Aware Cache (TeaCache), a training-free caching
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## 🔥 Latest News
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## 🔥 Latest News
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- **If you like our project, please give us a star ⭐ on GitHub for the latest update.**
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- **If you like our project, please give us a star ⭐ on GitHub for the latest update.**
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- [2025/02/27] 🎉 Accepted in CVPR 2025.
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- [2025/01/24] 🔥 Support [Cosmos](https://github.com/NVIDIA/Cosmos) for both T2V and I2V. Thanks [@zishen-ucap](https://github.com/zishen-ucap).
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- [2025/01/24] 🔥 Support [Cosmos](https://github.com/NVIDIA/Cosmos) for both T2V and I2V. Thanks [@zishen-ucap](https://github.com/zishen-ucap).
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- [2025/01/20] 🔥 Support [CogVideoX1.5-5B](https://github.com/THUDM/CogVideo) for both T2V and I2V. Thanks [@zishen-ucap](https://github.com/zishen-ucap).
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- [2025/01/20] 🔥 Support [CogVideoX1.5-5B](https://github.com/THUDM/CogVideo) for both T2V and I2V. Thanks [@zishen-ucap](https://github.com/zishen-ucap).
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- [2025/01/07] 🔥 Support [TangoFlux](https://github.com/declare-lab/TangoFlux). TeaCache works well for Audio Diffusion Models!
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- [2025/01/07] 🔥 Support [TangoFlux](https://github.com/declare-lab/TangoFlux). TeaCache works well for Audio Diffusion Models!
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