OpenMOSS @Open_MOSS
An open research lab building artificial general intelligence. Join Discord ⚡️ https://t.co/FLvN5uXGlK Joined January 2025-
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🚀 MOSS-TTS Local Transformer v1.5 is now available on Novita. Build voice agents with: 🎙️ Zero-shot voice cloning 🌍 Speech synthesis in 30+ languages 🎧 Native 48 kHz stereo audio ⚡ Streaming TTS with ultra-low latency Thanks to @MosiAI_Official for open-sourcing MOSS-TTS.
🔥MOSS-TTS Local Transformer v1.5 is now available on @novita_labs Try it 👇
🚀 MOSS-TTS Local Transformer v1.5 is now available on Novita. Build voice agents with: 🎙️ Zero-shot voice cloning 🌍 Speech synthesis in 30+ languages 🎧 Native 48 kHz stereo audio ⚡ Streaming TTS with ultra-low latency Thanks to @MosiAI_Official for open-sourcing MOSS-TTS.
OpenMoss has been releasing some impressive TTS 🔥 MOSS-TTS-Local v1.5 🔊 - Generates native 48kHz stereo - Support 30+ languages - 5B & Apache 2.0 Model and demo are available on @huggingface
mlx-audio + MOSS-TTS-Local-Transformer-v1.5 + Kling Omni with lip sync 🔥 Thanks @MosiAI_Official for this super model! X: what can I use locally on Apple Silicon to generate videos with lip sync?
@ivanfioravanti @MosiAI_Official incredible!
@ting_ @MosiAI_Official @drbaph the power of opensource 🔥
omg this made my day 🥹 Someone already made a ComfyUI node pack for @MosiAI_Official @Open_MOSS MOSS-TTS Local Transformer v1.5 Clone voices, generate speech in 30+ languages, and export 48 kHz stereo audio right from your workflow!! thank you for building this🩵 @drbaph
推荐一家叫模思的中国公司的开源声音克隆仓库： MOSS-TTS 你朗读一段文字，它克隆你的声音，然后就可以用你的声音朗读任意文本，查看帖子详情看我实战如何使用，效果很好，可以以假乱真。 github.com/OpenMOSS/MOSS-… 模型下载： huggingface.co/OpenMOSS-Team/… 实战过程： 1. 在codex里输入如下提示词帮我安装和运行： ``` read huggingface.co/OpenMOSS-Team/…, 在我本地安装和运行 ``` 2. code开始下载模型，但是非常慢，需要提示它用aria2来下载 3. 下载完毕后，让它给出如何克隆我的声音的步骤，按照步骤操作 4. 克隆声音后，让它根据我的声音生成朗读李白的《静夜思》的音频文件 我听了下效果非常好！非常像我的声音！ 关注我，永远有实战，而不是简单转发！！
🤗 MOSS-TTS-Local Transformer v1.5 is now open source. Built with a pure autoregressive Audio Tokenizer + LLM paradigm: >MOSS-Audio-Tokenizer-v2, 2B params >Qwen3-4B backbone >Native 48 kHz stereo audio >Streaming output with theoretical sub-100 ms TTFT >Zero-shot voice cloning
@LinearUncle thank you for sharing, love it! what's the sound like? would love to hear the voice!
@kriGetaa @sgl_project @lmsysorg calling the tech bro @cheng_qinyuan
🤗 MOSS-TTS-Local Transformer v1.5 is now open source. Built with a pure autoregressive Audio Tokenizer + LLM paradigm: >MOSS-Audio-Tokenizer-v2, 2B params >Qwen3-4B backbone >Native 48 kHz stereo audio >Streaming output with theoretical sub-100 ms TTFT >Zero-shot voice cloning >Inline [pause] control >🇺🇸 🇯🇵 🇰🇷 31 language synthesis >SGLang-Omni Day0 support 🎉 @sgl_project @lmsysorg Designed for voice agents, digital humans, game NPCs, audiobooks, and real-time speech generation. 👇 x.com/MosiAI_Officia…
🤗 MOSS-TTS-Local Transformer v1.5 is now open source. Built with a pure autoregressive Audio Tokenizer + LLM paradigm: >MOSS-Audio-Tokenizer-v2, 2B params >Qwen3-4B backbone >Native 48 kHz stereo audio >Streaming output with theoretical sub-100 ms TTFT >Zero-shot voice cloning
🤗 our latest tts model is open source on @huggingface > 48hz > 30+ languages supported > streaming output > inline pause control
🤗 MOSS-TTS-Local Transformer v1.5 is now open source. Built with a pure autoregressive Audio Tokenizer + LLM paradigm: >MOSS-Audio-Tokenizer-v2, 2B params >Qwen3-4B backbone >Native 48 kHz stereo audio >Streaming output with theoretical sub-100 ms TTFT >Zero-shot voice cloning
really fast
🎉 SGLang-Omni now serves MOSS-TTS-Local Transformer v1.5 from @Open_MOSS on day 0! This is an open 48 kHz stereo TTS model built on a Qwen3-4B backbone. ✅ Zero-shot voice cloning + native streaming at 48 kHz stereo ✅ 31 languages, trained on ~4M hours of speech ✅ Duration control + explicit pause markup + long-form up to 10 min ✅ 5.976 req/s non-streaming at RTF 0.644, 1.75% WER (SeedTTS English, 2× GPU) ✅ Three-stage pipeline: reference encoding → AR engine → streaming vocoder, with frame-level CUDA Graphs Cookbook: sgl-project.github.io/sglang-omni/co… Run it now with SGLang-Omni!
🤗 MOSS-TTS-Local Transformer v1.5 is now open source. Built with a pure autoregressive Audio Tokenizer + LLM paradigm: >MOSS-Audio-Tokenizer-v2, 2B params >Qwen3-4B backbone >Native 48 kHz stereo audio >Streaming output with theoretical sub-100 ms TTFT >Zero-shot voice cloning
Github: github.com/OpenMOSS/MOSS-… huggingface: huggingface.co/OpenMOSS-Team/… API & live playground: platform.mosi.cn Discord: discord.gg/Xf3aXddCjc
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