Stable Audio is an AI model for creating high-quality audio from natural language or example files. You can type a descriptive prompt such as “headbanging heavy metal track” or upload an existing clip and ask the model to transform it. Stable Audio 2.0 produces full stereo tracks up to 3 minutes at 44.1 kHz, enabling intros, developments, and outros that feel coherent and structured. It also excels at short clips, sound effects, and ambient textures for games, film, advertising, and multimedia. Practical benefits include rapid prototyping of musical ideas, generating instrumentals for content, designing ambient layers and fx, and experimenting with audio style transfer by combining prompts and reference clips. The model is user-friendly: natural language prompts let creators with little technical expertise iterate quickly. For advanced users, Stable Audio Open provides model weights on Hugging Face so you can fine-tune or adapt the model to specific datasets and workflows. What makes Stable Audio valuable is its balance of quality and efficiency—outputs are rich and detailed while remaining accessible to users with varied hardware. The system was trained with licensed data and creator compensation practices, and it respects opt-outs, supporting more responsible use. Limitations include challenges with realistic vocals and very complex melodic lines, as well as a current maximum length of about three minutes. Best results often come from prompt refinement and iterative generation. Who should use it: musicians and producers looking for quick musical sketches or full pieces, sound designers needing bespoke effects and ambiences, game and film creators who want faster audio iteration, and developers interested in building customized audio tools via the open weights. Stable Audio speeds creative workflows while letting you keep control of style, length, and references.