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LatestFishaudioS2-Pro
FishaudioText → Speech

Fish Audio's S2-Pro Brings Expressive TTS to Open Source

The new text-to-speech model can follow natural language instructions to control tone, clone voices from short clips, and speak multiple languages.

Mar 9, 2026
NotableOther
Fish Audio S2-Pro

A new open-source model from a group called Fish Audio is bringing more expressive and controllable speech synthesis to the community. Called S2-Pro, the model's standout feature is its ability to follow instructions. Instead of just converting text to audio, users can guide the output's style, tone, and emotion using natural language prompts like "speak in a gentle voice."

The model also features powerful voice cloning capabilities. It can perform zero-shot cloning from a sample as short as three seconds, meaning it can replicate a voice without being specifically trained on it. This feature works across its supported languages of English, Japanese, and Chinese, allowing for cross-language voice replication.

How it Works

S2-Pro is built on a GPT-VITS architecture, combining a large language model's comprehension with a VITS-based speech synthesis system. The model, weights, and code are all available on the Hugging Face Hub for developers to explore.

It's important to note the model's usage constraints. S2-Pro is released under a custom license, the openai-ft-community-license-v0.1, which restricts its use to non-commercial, research, and personal projects. This makes it a valuable tool for experimentation but not for integration into commercial applications.

This release represents a meaningful step for open-source speech generation. By providing fine-grained, instruction-based control over audio output, S2-Pro gives creators and researchers access to a level of expressiveness typically found only in proprietary, API-gated systems.

Sources

  • fishaudio/s2-pro

    Hugging Face

    Visit
OlderLightricks LTX-2.3 Generates Video and Audio TogetherLightricks · Image → Video · 8 months agoNewerBlack Forest Labs Releases 9B FLUX.2 klein Image ModelBlack Forest Labs · Text → Image · 8 months ago

Get the model

Hugging Face

Specs

Languages80+ languages
Size9.1 GB
PrecisionBF16
Architecturefish_qwen3_omni
LicenseOTHER
Downloads47.5K
Likes1.5K

Can you run it?

Runs on a laptop — about 5.6 GB at FP8.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    10.1 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    5.6 GB
Your machine

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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