Model Details
Full Model IDaudio-cpp/audio.cpp-gguf
Pipeline / Tasktext-to-speech
Libraryaudio.cpp
Downloads (all-time)6.6M
Likes268
Last Modified10/22/2026
Author / Orgaudio-cpp
PrivateNo — public
⚡ Quick Usage (Python)
Using the 🤗 Transformers library. Install with pip install transformers
from transformers import pipeline
# Load the model
pipe = pipeline("text-to-speech", model="audio-cpp/audio.cpp-gguf")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
audio.cppggufquantizedtext-to-speechautomatic-speech-recognitionvoice-conversiontext-to-audioaudio-to-audiosource-separationspeaker-diarizationspeechbase_model:ACE-Step/Ace-Step1.5base_model:quantized:ACE-Step/Ace-Step1.5license:otherregion:us
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Open on Hugging Face →Browse Model Files ↗← Browse All Models🤖 Task: text-to-speech
This model is designed for the text-to-speech task. Explore more models for this use case.
All text-to-speech Models →📊 Popularity
⬇ Downloads6.6M
❤️ Community Likes268
🛠️ Requirements
- →Install: pip install audio.cpp
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.