ZONOS2

--- license: apache-2.0 pipeline_tag: text-to-speech library_name: ZONOS2 --- # ZONOS2 <p align="center"> <img src="./assets/ZONOS2BlogThumbnail.png" alt="ZONOS2 title card" width="750" /> </p> <div align="center"> <a href="https://discord.gg/gTW9JwST8q" target="_blank"> <img src="https://img.shields.io/badge/Join%20Our%20Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"> </a> </div> --- ZONOS2 is our latest text-to-speech model trained on more than 6 million hours of varied multilingual speech, delivering expressiveness and quality on par with—or even surpassing—top TTS providers at low latency with MoE. ZONOS2 excels at high-fidelity and naturalistic voice cloning. During inference we use nemo TN normalized UTF-8 bytes and an ECAPA-TDNN embedding to generate DAC tokens with our MoE backbone. An inference overview can be seen below. <p align="center"> <img src="./assets/zonos2_arlooop_animated.gif" alt="ZONOS2 title card" width="750" /> </p> Language support is as follows. | Tier | Languages | | ------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Tier 1 | English, Mandarin Chinese, Japanese | | Tier 2 | Korean, Russian, Italian, Portuguese, French, Spanish, Vietnamese, German, Hebrew, Dutch | | Tier 3 | Swedish, Hindi, Tamil, Telugu, Thai, Norwegian, Bengali, Tagalog, Arabic, Danish, Indonesian, Polish, Ukrainian, Romanian, Finnish, Hungarian, Lithuanian, Estonian, Slovak, Croatian, Latvian | For local inference we provide a high-performance TTS inference server built on [Mini-SGLang](https://github.com/sgl-project/mini-sglang). **For more details and speech samples, check out our [blog](https://www.zyphra.com/our-work/zonos2).** **We also have a hosted version available at [cloud.zyphra.com/audio-playground](https://cloud.zyphra.com/audio-playground).** --- ## Quick Start > **Platform Support**: Linux only (x86_64). Requires NVIDIA GPU with CUDA toolkit matching your driver version (`nvidia-smi` to check). ### 1. Installation Requires [uv](https://docs.astral.sh/uv/getting-started/installation/). ```bash git clone https://github.com/Zyphra/ZONOS2.git cd ZONOS2 uv sync ``` ### 2. Launch the TTS Server ```bash uv run python -m minisgl --model-path Zyphra/...