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Support CogVideoX1.5

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README.md
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@ -66,6 +66,7 @@ We introduce Timestep Embedding Aware Cache (TeaCache), a training-free caching
## Latest News 🔥
**Welcome for PRs to support other models. Please star ⭐ our project and stay tuned.**
- [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). Rescaling coefficients for CogVideoX-5B can be directly applied to CogVideoX1.5-5B.
- [2025/01/07] 🔥 Support [TangoFlux](https://github.com/declare-lab/TangoFlux). TeaCache works well for Audio Diffusion Models! Rescaling coefficients for FLUX can be directly applied to TangoFlux.
- [2024/12/30] 🔥 Support [Mochi](https://github.com/genmoai/mochi) and [LTX-Video](https://github.com/Lightricks/LTX-Video) for Video Diffusion Models. Support [Lumina-T2X](https://github.com/Alpha-VLLM/Lumina-T2X) for Image Diffusion Models.
- [2024/12/27] 🔥 Support [FLUX](https://github.com/black-forest-labs/flux). TeaCache works well for Image Diffusion Models!
@ -108,6 +109,9 @@ Please refer to [TeaCache4Lumina-T2X](./TeaCache4Lumina-T2X/README.md).
## TeaCache for TangoFlux
Please refer to [TeaCache4TangoFlux](./TeaCache4TangoFlux/README.md).
## TeaCache for TeaCache4CogVideoX1.5
Please refer to [TeaCache4CogVideoX1.5](./TeaCache4CogVideoX1.5/README.md).
## Installation
Prerequisites: