Sponsored by iMean AI Trip Planner
Toolify Toolify logo
AI Models
audio.cpp-gguf

CaptainArni / audio.cpp-gguf

Run on huggingface.co
huggingface.co
Total runs: 89.1K
24-hour runs: 4.2K
7-day runs: 32.9K
30-day runs: 83.9K
Model's Last Updated: September 06 2026
text-to-audio

Introduction of audio.cpp-gguf

Model Details of audio.cpp-gguf

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 — XL DiT, planner LM, text encoder and VAE in one file — 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.

Runs of CaptainArni audio.cpp-gguf on huggingface.co

89.1K
Total runs
4.2K
24-hour runs
12.3K
3-day runs
32.9K
7-day runs
83.9K
30-day runs

More Information About audio.cpp-gguf huggingface.co Model

More audio.cpp-gguf license Visit here:

https://choosealicense.com/licenses/mit

audio.cpp-gguf huggingface.co

audio.cpp-gguf huggingface.co is an AI model on huggingface.co that provides audio.cpp-gguf's model effect (), which can be used instantly with this CaptainArni audio.cpp-gguf model. huggingface.co supports a free trial of the audio.cpp-gguf model, and also provides paid use of the audio.cpp-gguf. Support call audio.cpp-gguf model through api, including Node.js, Python, http.

audio.cpp-gguf huggingface.co Url

https://huggingface.co/CaptainArni/audio.cpp-gguf

CaptainArni audio.cpp-gguf online free

audio.cpp-gguf huggingface.co is an online trial and call api platform, which integrates audio.cpp-gguf's modeling effects, including api services, and provides a free online trial of audio.cpp-gguf, you can try audio.cpp-gguf online for free by clicking the link below.

CaptainArni audio.cpp-gguf online free url in huggingface.co:

https://huggingface.co/CaptainArni/audio.cpp-gguf

audio.cpp-gguf install

audio.cpp-gguf is an open source model from GitHub that offers a free installation service, and any user can find audio.cpp-gguf on GitHub to install. At the same time, huggingface.co provides the effect of audio.cpp-gguf install, users can directly use audio.cpp-gguf installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

audio.cpp-gguf install url in huggingface.co:

https://huggingface.co/CaptainArni/audio.cpp-gguf

Url of audio.cpp-gguf

audio.cpp-gguf huggingface.co Url

Provider of audio.cpp-gguf huggingface.co

CaptainArni
ORGANIZATIONS
huggingface.co

Other API from CaptainArni