ACE-Step Audio is an open-source text-to-music foundation model designed for fast, controllable, high-quality music generation. From a simple natural-language prompt you can generate full songs (up to 4 minutes) with precise duration control, expressive vocal or instrumental tracks, and strong coherence across melody, harmony, and rhythm. It is engineered for practical creative use: synthesize a complete backing track, create a vocal performance from lyrics, remix or style-transfer existing material, or quickly iterate musical ideas for demos and production. What makes ACE-Step Audio valuable to creators and developers is its combination of speed, fidelity, and control. It can produce a 4-minute piece in roughly 20 seconds on an A100-class GPU, enabling rapid prototyping and near-real-time workflows. Advanced conditioning supports lyrics and speaker identity inputs so generated vocals align with supplied text and voice characteristics, while fine-grained controls let you shape style, mood, and exact duration. The model preserves detailed acoustic features well enough to support tasks such as lyric editing, singing-to-accompaniment conversion, and voice cloning for singing voices. ACE-Step Audio is also practical to integrate: it’s open-source with model weights and designed to be extended into downstream tools—DAW plugins, creative assistants, and specialized genre models. Use cases include generating original tracks from prompts, remixing and style transfer, vocal editing, and building custom music-generation services. While powerful, users should avoid generating copyrighted material without permission and be aware occasional high-frequency artifacts can appear in vocals. Overall, ACE-Step Audio offers a fast, controllable, and high-quality platform for artists and developers to bring AI-assisted music into real-world creative workflows.