🤖 text-to-speech

Higgs-Audio-v3-Studio

drbaph/Higgs-Audio-v3-Studio

Get AI Model →
⬇
497.8K
Downloads
❤️
9
Likes
🏷️
114
Tags
📦
—
Library
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 →
Kokoro-82M

hexgrad/Kokoro-82M

⬇ 10.1M❤️ 7.3K
Get AI Model →
audio.cpp-gguf

audio-cpp/audio.cpp-gguf

⬇ 6.6M❤️ 268
Get AI Model →
XTTS-v2

coqui/XTTS-v2

⬇ 6.1M❤️ 3.9K
Get AI Model →
🚀 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.
👋 Need help with code?