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ACE-Step

Open-source music generation foundation model delivering SOTA performance

AI / MLProduct
ACE-Step preview
ACE-Step preview

About ACE-Step

Open-source music generation, state-of-the-art results

ACE-Step is an open-source foundation model for music generation. A single text prompt produces complete songs with vocals and instrumentals, with generation speed far beyond diffusion-based baselines and quality that holds up against closed models.

For developers and creators

Self-host the model, fine-tune it on your own style and data, or try the hosted demo at ace-step.club. Weights are published on Hugging Face, the source code is on GitHub, and an active Discord community shares checkpoints and workflows.

Key features

  • Text-to-song generation with vocals and instrumentals
  • Open-source weights, self-hosting and fine-tuning
  • Hosted demo at ace-step.club

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