audio.cpp GGUF

GGUF conversions of music and speech models for audio.cpp, the ggml-based native audio inference framework.

ACE-Step 1.5 XL (bf16)

File Size Package Upstream
ACE-Step1.5-GGUF/xl-turbo/ace-step-1.5-xl-turbo-bf16.gguf 14.2 GB ace_step_xl_turbo_bf16 acestep-v15-xl-turbo
ACE-Step1.5-GGUF/xl-sft/ace-step-1.5-xl-sft-bf16.gguf 14.2 GB ace_step_xl_sft_bf16 acestep-v15-xl-sft

The XL DiT is the larger ACE-Step 1.5 transformer: 32 layers of 2560 against turbo's 24 of 2048, with 32 attention heads of 128. Each file is self-contained the way audio.cpp's other ACE-Step GGUFs are โ€” XL DiT, planner LM, text encoder and VAE in one file โ€” so neither needs another download.

XL Turbo is guidance-distilled and ignores guidance_scale; XL SFT takes the CFG path. Both were converted from the float32 upstream snapshots with audiocpp_gguf --type bf16.

Install

python tools/model_manager_v2.py install ace_step_xl_turbo_bf16

Run

The DiT variant is a load option, so name it explicitly:

audiocpp_cli --task gen --family ace_step --model models/ACE-Step1.5-GGUF/xl-turbo \
  --backend cuda --task-route text2music \
  --text "warm lo-fi hip hop with a soft rhodes piano" --duration-seconds 60 \
  --load-option ace_step.dit_model_path=acestep-v15-xl-turbo --out song.wav

Measured on an RTX 5090 (CUDA), 20 s of audio in 15 s including model load, either variant.

XL support landed in audio.cpp via PR #235; see docs/models/ace_step.md there for the full option reference and for rebuilding this file yourself.

Weights are MIT-licensed by ACE-Step; this repository only redistributes them in a different container format.

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