sjfischr/higgs-studio — explained in plain English
Analysis updated 2026-05-18
Generate expressive local text to speech without per-character costs
Clone your own voice for personal projects with explicit consent
Add emotion, pacing, and sound effects to narration using inline tags
Run a fully offline TTS studio on your own GPU
| sjfischr/higgs-studio | 1ncendium/aibuster | aaronmayeux/ha-hurricane-tracker | |
|---|---|---|---|
| Stars | 5 | 5 | 5 |
| Language | Python | Python | Python |
| Setup difficulty | hard | moderate | easy |
| Complexity | 4/5 | 3/5 | 2/5 |
| Audience | developer | ops devops | general |
Figures from each repo's GitHub metadata at analysis time.
Higgs Studio is a local application with a visual interface, built using a tool called Gradio, that lets you turn text into spoken audio using an AI voice model called Higgs Audio v3. Everything runs on your own computer's graphics card rather than through an online service, so there are no usage limits, no per use fees, and no audio sent anywhere else. The main feature that sets this apart from a simple text to speech box is a detailed expression console. Instead of just typing text and getting a flat sounding voice back, you can control how a line is delivered: the emotion behind it, whether it is spoken normally, sung, shouted, or whispered, the speed and pitch, where pauses land, and even inserted sound effects like laughter or a sigh. These controls work by inserting special tags into the text, and the interface includes clickable buttons that add the correct tags for you. The tool can also clone a voice from a short reference audio clip, transcribing that clip automatically to improve accuracy. Getting started involves cloning the repository, installing the required Python packages including a CUDA compatible build of PyTorch, running the app, and then downloading about 9.4 gigabytes of model files through the app's own setup screen. It needs an Nvidia graphics card with at least around 12 gigabytes of video memory to run comfortably. Because the tool can clone real human voices, the README places heavy emphasis on responsible use. It states plainly that people should only clone their own voice or a voice they have explicit, documented permission to use, and it lists banned uses such as impersonating someone to deceive them, creating non consensual content, or producing misleading political material. It also notes that unauthorized voice cloning is becoming a legal risk in various places, and that the tool includes no watermarking or identity verification, so responsibility for how it is used falls entirely on the person running it. The code itself is released under the MIT license, but the underlying Higgs Audio v3 model has its own separate license that only allows personal, non commercial use, with a paid license required for any commercial application.
A local Gradio app that turns text into expressive speech using Higgs Audio v3, with emotion controls and voice cloning.
Mainly Python. The stack also includes Python, Gradio, PyTorch.
The code is MIT licensed, but the Higgs Audio v3 model itself is personal, non commercial use only, commercial use requires a separate paid license from Boson AI.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
double-check against the repo, no cap.