Fragmenta
An all-in-one pipeline for training and using text-to-audio AI models — made for experimental music.
Your data never leaves your device.
Interface

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]
Three Ways to Run
Choose the setup that is accessible to you.
Hugging Face Spaces
No installation. Run in your browser. CPU inference — slow, ideal for exploring the interface. Limited GPU sessions available on request.
Open Space ↗Docker
Fastest local setup. No Python or Node.js required. Separate images for NVIDIA GPU and CPU (Mac / Linux / Windows).
--gpus all mazcode/fragmenta:gpu
Run Locally
Clone the repo and run the launcher. Installs everything in an isolated folder — deleting it removes all dependencies. Linux, Windows, macOS.
./fragmenta.sh # Linux
./fragmenta.bat # Windows