Model Details
Full Model IDdrbaph/Higgs-Audio-v3-Studio
Pipeline / Tasktext-to-speech
Library—
Downloads (all-time)497.8K
Likes9
Last Modified7/6/2026
Author / Orgdrbaph
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="drbaph/Higgs-Audio-v3-Studio")
# Run inference
result = pipe("Your input here")
print(result)🏷️ Tags
gguftext-to-speechspeech-generationvoice-cloningexpressive-speechcontrollable-ttsmultilingual-ttscppwindowswhisper.cppcudahiggs-audio-v3afarasastazbabebgbnbscacebckbcscydadeel
More text-to-speech Models
See all →🚀 Use This Model
Access model files, inference API, and full documentation on Hugging Face.
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
⬇ Downloads497.8K
❤️ Community Likes9
🛠️ Requirements
- →Check docs for installation steps.
- →Python 3.8+ recommended for Transformers.
- →GPU (CUDA) speeds up inference significantly.
- →Use model.half() for fp16 on limited VRAM.