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![visualization](./assets/tisser.png) ![visualization](./assets/tisser.png)
## Introduction
We introduce Timestep Embedding Aware Cache (TeaCache), a training-free caching approach that estimates and leverages the fluctuating differences among model outputs across timesteps, thereby accelerating the inference. TeaCache works well for Video Diffusion Models, Image Diffusion models and Audio Diffusion Models. For more details and results, please visit our [project page](https://github.com/LiewFeng/TeaCache).
## Latest News 🔥 ## Latest News 🔥
**Welcome for PRs to support other models. Please star ⭐ our project and stay tuned.** **Welcome for PRs to support other models. Please star ⭐ our project and stay tuned.**
- [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. - [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.
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- [ComfyUI-HunyuanVideoWrapper](https://github.com/kijai/ComfyUI-HunyuanVideoWrapper) supports TeaCache4HunyuanVideo. Thanks [@kijai](https://github.com/kijai), [ctf05](https://github.com/ctf05) and [DarioFT](https://github.com/DarioFT). - [ComfyUI-HunyuanVideoWrapper](https://github.com/kijai/ComfyUI-HunyuanVideoWrapper) supports TeaCache4HunyuanVideo. Thanks [@kijai](https://github.com/kijai), [ctf05](https://github.com/ctf05) and [DarioFT](https://github.com/DarioFT).
- [ComfyUI-TeaCacheHunyuanVideo](https://github.com/facok/ComfyUI-TeaCacheHunyuanVideo) for TeaCache4HunyuanVideo. Thanks [@facok](https://github.com/facok). - [ComfyUI-TeaCacheHunyuanVideo](https://github.com/facok/ComfyUI-TeaCacheHunyuanVideo) for TeaCache4HunyuanVideo. Thanks [@facok](https://github.com/facok).
## Introduction
We introduce Timestep Embedding Aware Cache (TeaCache), a training-free caching approach that estimates and leverages the fluctuating differences among model outputs across timesteps, thereby accelerating the inference. For more details and visual results, please visit our [project page](https://github.com/LiewFeng/TeaCache).
## TeaCache for HunyuanVideo ## TeaCache for HunyuanVideo
Please refer to [TeaCache4HunyuanVideo](./TeaCache4HunyuanVideo/README.md). Please refer to [TeaCache4HunyuanVideo](./TeaCache4HunyuanVideo/README.md).
## TeaCache for ConsisID ## TeaCache for ConsisID
Please refer to [TeaCache4ConsisID](./TeaCache4ConsisID/README.md). Please refer to [TeaCache4ConsisID](./TeaCache4ConsisID/README.md).
## TeaCache for FLUX ## TeaCache for FLUX
Please refer to [TeaCache4FLUX](./TeaCache4FLUX/README.md). Please refer to [TeaCache4FLUX](./TeaCache4FLUX/README.md).
## TeaCache for Mochi ## TeaCache for Mochi
Please refer to [TeaCache4Mochi](./TeaCache4Mochi/README.md). Please refer to [TeaCache4Mochi](./TeaCache4Mochi/README.md).
## TeaCache for LTX-Video ## TeaCache for LTX-Video
Please refer to [TeaCache4LTX-Video](./TeaCache4LTX-Video/README.md). Please refer to [TeaCache4LTX-Video](./TeaCache4LTX-Video/README.md).
## TeaCache for Lumina-T2X ## TeaCache for Lumina-T2X
Please refer to [TeaCache4Lumina-T2X](./TeaCache4Lumina-T2X/README.md). Please refer to [TeaCache4Lumina-T2X](./TeaCache4Lumina-T2X/README.md).
## TeaCache for TangoFlux ## TeaCache for TangoFlux
Please refer to [TeaCache4TangoFlux](./TeaCache4TangoFlux/README.md). Please refer to [TeaCache4TangoFlux](./TeaCache4TangoFlux/README.md).
## Installation ## Installation