Local TTS model
StyleTTS 2
Style-based TTS with high naturalness and style diffusion. Academic research model with excellent quality.
GPU recommended
text-to-speech generation
3 languages
MIT
Quality
9.3/10
Speed
6.5/10
Model size
1.8 GB
Voices
Style transfer
Can StyleTTS 2 run locally?
StyleTTS 2 can generate speech locally for private voice workflows. Start with pip install styletts2.
MIT license. Still verify upstream usage notes before shipping.
pip install styletts2
Upstream source
controllablecloning
Audio profile
Best fit
StyleTTS 2 is best for local voice cloning and expressive speech generation.
Hardware: gpu
Model details
Type
Local TTS model
Family
styletts
Latency
medium
Formats
pytorch
Languages
en, zh, ja
Context
Style diffusion
Install locally
01
Check runtimeConfirm the backend supports pytorch on your machine.02
Install modelUse the upstream command or repository instructions.03
Test locallyRun a short private audio prompt before moving into production workflows.pip install styletts2
Good for
- text-to-speech generation
- GPU recommended local workflows
- controllable, cloning
Watch before shipping
- Validate pronunciation, latency and artifacts with your own voice samples.
- Review the upstream license and acceptable-use notes.
- Benchmark on your target CPU, Apple Silicon or GPU setup.
Related TTS and speech models
Zyphra
Zonos v0.1
Local TTS model · Q 9.5 · Speed 8.5
OpenBMB
VoxCPM2
Local TTS model · Q 9.4 · Speed 8.3
RedNote HiLab
Dots TTS MF
Local TTS model · Q 9.4 · Speed 8
Bilibili
IndexTTS 2
Local TTS model · Q 9.4 · Speed 8
MyShell
OpenVoice V2
Local TTS model · Q 8.9 · Speed 9
Miso Labs
MisoTTS
Local TTS model · Q 9.4 · Speed 5.8
WavTTS Team
WavTTS
Local TTS model · Q 9.1 · Speed 5.2
Speech Research (SWivid)
F5-TTS v1.1
Local TTS model · Q 9.5 · Speed 9.2