LibreAI / AI Music / ACE-Step
// ai-music · ace-step/ACE-Step

ACE-Step

ACE-Step — the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0

★ 5.0k stars⑂ 643 forksApache-2.0updated 2026-02
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

ACE-Step is an open-source ai music project by ace-step (ace-step/ACE-Step on GitHub). It has 4,958 GitHub stars and 643 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 15 February 2026.

GitHub stars
4,958
Forks
643
License
Apache-2.0
Last updated on GitHub
15 February 2026
Category
AI Music
Listing
Full install guide
Official site
Project page
// how it works

How it works

  1. Clone and install

    Per the README installation section: clone the repo, create the environment it describes, and pip install -e . (Windows users also pip install triton-windows).

  2. Launch ACE-Step

    Start the app with the acestep command — the README-recommended consumer options are acestep --torch_compile true --cpu_offload true --overlapped_decode true — or use the Gradio UI.

  3. Generate a song

    Describe the style (tags, descriptive text or a use-case scenario), add lyrics if you want vocals, and generate — up to 4-minute tracks, then refine with repaint, variations or lyric editing.

// features

Why people love it

Speed with coherence

Diffusion + DCAE + linear transformer design: ~4 minutes of music in ~20 seconds on an A100, without the structural drift of slower LLM-style generators.

Real vocals and lyrics

Sung vocals with lyric alignment in 19 languages, plus dedicated lyric2vocal and singing2accompaniment tasks.

Producer controls

Voice cloning, lyric editing, remixing, repainting and variation generation are built into the model design, not bolted on.

Runs on consumer GPUs

Optimisations brought max VRAM to ~8GB with CPU offload; a ComfyUI node and Gradio UI cover different workflows.

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// run it

Run it yourself

  1. Clone and install

    The README installation route.

    git clone https://github.com/ace-step/ACE-Step.git
    cd ACE-Step
    pip install -e .
  2. Or install direct with pip

    The README alternative (needs Git on your PATH; use a virtualenv).

    pip install git+https://github.com/ace-step/ACE-Step.git
  3. Launch (consumer settings)

    The launch options the project recommends for memory-friendly speed.

    acestep --torch_compile true --cpu_offload true --overlapped_decode true
// use cases

What you can build

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// faq

Questions, answered

Who makes ACE-Step?

The ACE-Step project (ace-step on GitHub), with StepFun among the organisations behind it; the technical report is arXiv 2506.00045.

Is ACE-Step free?

Yes — Apache-2.0 licensed. As with all music models, check the terms of any training data or voices you bring to it before commercial release.

How is this different from ace-step-ui on LibreAI?

This is the foundation model and engine itself. ace-step-ui and ACE-Step Studio are interfaces built on top of it — LibreAI listed those first; this entry is the missing engine underneath them.

How does it compare to a well-known alternative?

Against DiffRhythm (also added this week), ACE-Step emphasises speed, lyric alignment and editing controls (repaint, lyric edit, cloning) as a foundation model; DiffRhythm emphasises dead-simple full-song latent diffusion. Against Suno, ACE-Step is the open, self-hosted, Apache-2.0 option you can fine-tune with LoRAs.

How do I get started?

Clone, pip install -e ., then run acestep with the README consumer launch options and generate your first track in the UI.

// keep exploring

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// alternatives

Alternatives in AI Music

The most-starred other AI Music projects in the LibreAI catalogue — the realistic shortlist if ACE-Step is not the right fit.

Get ACE-Step

Free and open — grab the source, star the repo, and start creating.