LibreAI / Música com IA / ACE-Step
// ai-music · ace-step/ACE-Step

ACE-Step

ACE-Step é um projeto de música com IA de código aberto de ace-step (ace-step/ACE-Step no GitHub). Tem 4.958 estrelas no GitHub e 643 forks, é publicado sob a licença Apache-2.0 e foi atualizado pela última vez no GitHub em 15 de fevereiro de 2026.

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

★ 5,0 mil estrelas⑂ 643 forksApache-2.0atualizado fev 2026
▦ visual: o README deste projeto não inclui nenhuma captura incorporável,
então aqui vai um marcador. O guia abaixo está completo mesmo assim.
// dados do projeto

Dados do projeto

Repositório
ace-step/ACE-Step
Estrelas no GitHub
4.958
Forks
643
Licença
Apache-2.0
Última atualização no GitHub
15 de fevereiro de 2026
Tipo de ficha
Guia de instalação completo
Site oficial
Project page
// como funciona

Como funciona

  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.

// recursos

Por que as pessoas gostam tanto

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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// execute você mesmo

Execute você mesmo

  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
// casos de uso

O que você pode criar

Also on this shelf: demixr-app — mobile app that splits songs into stems with on-device deep learning.

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// perguntas frequentes

Perguntas frequentes

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.

// continue explorando

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// alternativas

Alternativas em Música com IA

Os outros projetos de Música com IA com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se ACE-Step não for o ideal para você.

// mais em ai-music

Mais em Música com IA

Projetos de Música com IA próximos no catálogo, os mais próximos em estrelas de ACE-Step: continue explorando dos dois lados dele.

Baixe o ACE-Step

Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.