Fragmenta
An all-in-one pipeline for training and using text-to-audio AI models — made for experimental music.
Interface
Click around — a non-functional preview of the actual app surface.
Why?
With AI seemingly everywhere, most tools are either locked behind subscription models designed for consumers, or they require deep technical knowledge, coding skills, and a huge time investment to use effectively. At the same time, the technology's narrative is being driven by big tech, turning access into a commodity. These technofeudal structures limit who gets to shape the future of AI and how it can be used creatively.
There also exist the ethical problems. Much of today's AI is trained on vast amounts of data scraped from the internet, without permission, often infringing on intellectual property rights. Built on open research from Stability AI, Fragmenta shows that ethically trained, personalized models can empower musicians without infringing copyrights or compromising artistic integrity.
Participating in how the narrative of technology is being shaped can be a form of democratic intervention. Fragmenta exists to enable artists to train models on their own work, have a transparent understanding of their AI carbon footprint and use AI on their own terms rather than as a product. Your music or recordings never leave your device.
Generated Sounds
Fine-tuned outputs trained on personal audio data.
[weird drum beat, 130 bpm]
[arpegio, light, minor, 130 bpm]
[drum beat]
[noisy ambient, texture, full spectrum]
Run Locally
Fragmenta runs entirely on your own machine. Try the interface online first, then install.
Run Locally
The way to run Fragmenta. Clone the repo and launch — it builds an isolated environment, downloads the models once, then runs fully offline. Deleting the folder removes everything. Needs Python 3.11. macOS, Linux, Windows.
./fragmenta.sh # Linux
./fragmenta.bat # Windows
Online Demo
A hosted Hugging Face Space for a quick look at the interface — no installation. Runs on CPU, so generation is slow and many features are limited. For real use, install and run locally.
Open Demo ↗