ace-step/ACE-Step-1.5

★14,147PythonMIT⑂ 1,862Issue 98Updated Oct 11, 2026

The most powerful local music generation model that outperforms almost all commercial alternatives, supporting Mac, AMD, Intel, and CUDA devices.

Open-source text-to-music generation now runs anywhere, including Macs — ACE-Step 1.5 adds an XL series with a 4B-parameter DiT decoder for higher audio quality, available in base, sft, and turbo variants, plus full compatibility with existing LM models. It runs locally on Mac, AMD, Intel, and CUDA hardware (≥12GB VRAM with offload), making it accessible to musicians and developers without cloud dependencies.

LLMs & MLtext2music

Metrics

Relative growth (7d)+2%Growth over the last 7 days relative to size
Acceleration-18%Change in growth pace from the week before
Attention44The three metrics scaled to 0–100 and combined

Retention can be computed 30 days after a repository first trends (it isn't shown until then). See About for how each metric is defined.

Star growth and Trending appearances (last 30 days)

First listed+89★/dayWeekly
Sep 30, 2026Oct 29, 2026

Bands mark days on the trending list (darker = higher rank)

Daily trending ranks as a table (1 days)
DateWeekly
Oct 15, 2026
python #10 +362

Created Sep 4, 2025 · First on trending Oct 15, 2026

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