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Video and audio

ACE-Step-1.5

by ace-step

ACE-Step 1.5 is an open-source AI model that generates full songs, with vocals and lyrics, from a text description. It runs on your own computer and can also make covers, edit sections and separate existing audio into stems.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
14.1k
Licence
MIT
Runs on
A gpu machine, with a GPU
Setup
Moderate
Language
Python
Age
418 days

What you can do with it

  • Generate full songs of 10 seconds to 10 minutes from a short text description, with lyrics in 50+ languages
  • Create covers, repaint sections, split tracks into stems or add backing music to a vocal recording
  • Train a small LoRA on a few of your own songs so the output matches your style

Could replace

  • Suno
  • Udio

Our suggestion based on what it does, not a feature-by-feature comparison.

Make money with it

You could offer custom background tracks, jingles or personalised songs to local businesses and content creators.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Produce background music for videos, adverts, podcasts and social posts instead of paying for stock music subscriptions
  • Make custom jingles, demo tracks or song drafts for clients as part of a creative or marketing service

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Install uv, clone the repository, run "uv sync" and then "uv run acestep" to open a web interface, with models downloading on first run; Windows and Mac portable packages are also offered.

Follow the official instructions in the project README.

Things to check

  • A CUDA GPU is recommended; the larger XL models need 12GB or more of VRAM, though smaller models can run on under 4GB
  • Check the terms for the model weights and training data before using the music commercially
  • Quality claims against commercial tools come from the project's own benchmarks

Who's talking about it

Checked 27 Oct 2026. Summary drafted by AI from the project's README.

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