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timoncool/higgsaudio-studioDokümantasyon

No longer developed. Use Speech Studio: https://github.com/timoncool/speech-studio. Portable Windows TTS — Higgs Audio v3 + AI text director, podcast & audiobook multi-voice. One-click, 100% offline, RU/EN, NVIDIA GPU.

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Hızlı Kurulum
pip install higgsaudio-studio

Warning

This project is no longer developed. Text-to-speech on Higgs Audio v3, voice cloning, the AI text director, podcasts and audiobooks now live in Speech Studio. It brings together the latest AI technology: text-to-speech with Higgs Audio v3, Fish Audio Drama 3, Qwen3-TTS and Supertonic 3, voice cloning, voice design from a description, audiobooks and podcasts, speech recognition with speaker separation on Parakeet, Nemotron and CrisperWhisper, and voice conversations with an AI agent. Free and offline, on Windows, macOS and Linux.

Higgs Audio Studio

Portable local text-to-speech built on Higgs Audio v3 TTS — expressive speech in 100+ languages, zero-shot voice cloning, an AI text director, plus Podcast and Audiobook modes. 100% offline, one click.

License Stars Last Commit

English · Русский

Higgs Audio Studio — English UI

🚀 One-click cross-platform install via Pinokio: Install on Pinokio Open in Pinokio

Works on Windows / Linux (x64 & aarch64) / macOS · NVIDIA / AMD / Apple Silicon / CPU. No install.bat — Pinokio sets up CUDA, Python 3.12, PyTorch and dependencies for you. Launcher: timoncool/HiggsAudio-Studio-pinokio

Generate expressive speech in 100+ languages, clone any voice from a reference clip, let a local LLM direct the delivery, and produce full podcasts and audiobooks — entirely on your machine. 100% offline, no cloud, no API keys. Everything lives inside the folder: Python, dependencies, models, cache. Delete the folder — the app is gone.

Built on Higgs Audio v3 TTS by Boson AI — a 4B expressive TTS model with native multi-speaker and inline emotion/prosody control.

Features

  • 🎙️ TTS — text → speech, 100+ languages; temperature, top-p/k, seed lock; autoplay; ⏹ Stop interrupts generation on the fly (at the inference level); per-frame progress in the terminal.
  • 🎭 Expression + 🤖 Director — insert control tags (<|emotion|>, <|sfx|>, <|prosody|>, <|style|>) with buttons + an Enrich button: a lightweight local LLM normalizes the text and places emotion/sound/prosody tags by meaning.
  • 🧬 Voice cloning — zero-shot from a reference clip with auto-transcription (Moonshine ASR); preset library + on-demand Russian voice pack.
  • 🎬 Podcast / Dialogue — the LLM writes a multi-speaker script, each speaker its own voice → stitched with loudness leveling across speakers (LUFS −16, podcast standard — no speaker quieter than another).
  • 📚 Audiobook — narrator/character attribution with a persistent roster (same character = same voice), long-form with timbre carry-over + loudness normalization.
  • 📦 Batch — a list of texts → mass synthesis with a live log.
  • 💾 Output format — WAV / MP3 / FLAC / OGG; results saved to output/ with timestamps.

43 control tags: 21 emotions, 10 prosody, 3 styles, 9 sounds. AI director — switchable GGUF model: Qwen3.5-9B (default, ~5.5 GB) / Qwen3.5-4B (light, ~2.5 GB), runs on GPU via llama.cpp. Higgs TTS quantization is on-the-fly (⚗️ experimental), auto by VRAM. RU / EN UI.

System Requirements

Platforms (via the Pinokio launcher)

OS GPU Status Acceleration
Windows 10/11 NVIDIA RTX 30xx–50xx ✅ tested CUDA 12.8 + Triton (torch.compile ~2×)
Windows 10/11 NVIDIA RTX 20xx ✅ expected CUDA 12.8 + Triton
Linux x64 NVIDIA RTX 20xx–50xx ✅ expected CUDA 12.8 + Triton
Linux aarch64 NVIDIA DGX Spark / Jetson ✅ expected CUDA 13.0
Windows AMD RDNA3+ ✅ expected DirectML
Linux AMD RDNA3+ ✅ expected ROCm 6.3
macOS Apple Silicon M1–M4 ✅ expected MPS
macOS Intel ⚠️ CPU only torch CPU
Any CPU only ⚠️ very slow CPU

Higgs uses PyTorch SDPA (flash kernels built in) and does not need external Flash-Attention 2. The local install.bat build targets NVIDIA Windows; full cross-platform support is via Pinokio.

Memory (NVIDIA; TTS is quantized on the fly, the LLM director loads separately)

VRAM TTS mode LLM director
24 GB+ bf16 (~11 GB) 9–12B in 4-bit (~6–8 GB)
12 GB 8-bit (~6–7 GB) 4–9B in 4-bit (~3–6 GB)
6–8 GB 4-bit (~3.5 GB) 2–4B in 4-bit (~1.5–3 GB)
CPU works, very slow —

Models (~9 GB TTS + LLM) download automatically on first run.

Quick Start

  1. Download this repository.
  2. Install — run install.bat, pick your GPU (CUDA 11.8 / 12.6 / 12.8 or CPU). It sets up portable Python, PyTorch and dependencies.
  3. Run — run run.bat; the app opens in the browser, models download on first launch. Update with update.bat.

Or install one-click cross-platform via Pinokio — no install.bat needed.

Other Projects by @timoncool

Project Description
VoxCPM2 Portable Multilingual TTS + Voice Design + LoRA fine-tuning
Qwen3-TTS Portable text-to-speech with voice cloning
ACE-Step Studio AI music studio — songs, vocals, covers, videos
Foundation Music Lab Music generation + timeline editor
VibeVoice ASR Portable speech recognition
LavaSR Portable audio enhancement
SuperCaption Qwen3-VL Portable image captioning
VideoSOS AI video production in the browser

Authors

Acknowledgments

Support the Author

I build open-source software and do AI research. Most of what I create is free and available to everyone. Your donations help me keep creating without worrying about where the next meal comes from =)

All donation methods | dalink.to/nerual_dreming | boosty.to/neuro_art

  • BTC: 1E7dHL22RpyhJGVpcvKdbyZgksSYkYeEBC
  • ETH (ERC20): 0xb5db65adf478983186d4897ba92fe2c25c594a0c
  • USDT (TRC20): TQST9Lp2TjK6FiVkn4fwfGUee7NmkxEE7C

Star History

Star History Chart

License

The wrapper code is open. The Higgs Audio v3 weights are distributed by Boson AI under a Research & Non-Commercial license — this application is non-commercial. Voice cloning only with the consent of the voice owner; impersonation, fraud and any illegal use are prohibited. See the model card.

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Anlık görüntü tarihi: 2026-11-08