ACE-Step

AI

ACE-Step is an open-source foundation model that generates music from text or other inputs using diffusion and transformer techniques.

by will

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ACE-Step is an open-source foundation model designed for music generation. It provides a core engine that can create musical pieces from prompts such as text tags, lyrics, or other conditioning signals. The model’s architecture combines diffusion‑based generation with a deep compression autoencoder and a lightweight linear transformer. This design aims to balance generation speed with musical coherence, delivering state‑of‑the‑art results. Performance is reported using Real‑Time Factor (RTF) on various GPUs. For example, an NVIDIA A100 (80 GB) achieves 27.27× RTF, rendering a minute of audio in about 2.2 seconds, while an RTX 4090 reaches 15× RTF (4 seconds per minute). These numbers illustrate fast generation on a single GPU. ACE-Step supports applications such as vocal synthesis, instrumental generation, and text‑to‑music conversion. It is distributed under the Apache License 2.0, includes command‑line options for customization, and offers community resources like a demo, GitHub repository, and Discord channel.

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