Originally posted: https://huggingface.co/ACE-Step/ACE-Step-v1-3.5B

https://github.com/ace-step/ACE-Step

Model Description

ACE-Step is a novel open-source foundation model for music generation that overcomes key limitations of existing approaches through a holistic architectural design. It integrates diffusion-based generation with Sana's Deep Compression AutoEncoder (DCAE) and a lightweight linear transformer, achieving state-of-the-art performance in generation speed, musical coherence, and controllability.

Key Features:

• 15× faster than LLM-based baselines (20s for 4-minute music on A100)

• Superior musical coherence across melody, harmony, and rhythm

• full-song generation, duration control and accepts natural language descriptions

Uses

Direct Use

ACE-Step can be used for:

• Generating original music from text descriptions

• Music remixing and style transfer

• edit song lyrics

Downstream Use

The model serves as a foundation for:

• Voice cloning applications

• Specialized music generation (rap, jazz, etc.)

• Music production tools

• Creative AI assistants