Local TTS model
Orpheus TTS
LLM-based TTS with human-level naturalness. Supports rich emotion tags (laugh, sigh, hesitation). Built on Llama 3 architecture for unprecedented expressiveness.
GPU recommended
text-to-speech generation
1 languages
Apache 2.0
Quality
9.6/10
Speed
7.5/10
Model size
3.5 GB
Voices
6 built-in + zero-shot cloning
Can Orpheus TTS run locally?
Orpheus TTS can generate speech locally for private voice workflows. Start with pip install orpheus-tts.
Apache 2.0 license. Still verify upstream usage notes before shipping.
pip install orpheus-tts
Upstream source
emotionstreamingcloning
Audio profile
Best fit
Orpheus TTS is best for local voice cloning and expressive speech generation.
Hardware: gpuapple
Model details
Type
Local TTS model
Family
orpheus
Latency
low
Formats
pytorchgguf
Languages
en
Context
Emotion tags: <laugh> <sigh> <gasp>
Install locally
01
Check runtimeConfirm the backend supports pytorch, gguf 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 orpheus-tts
Good for
- text-to-speech generation
- GPU recommended local workflows
- emotion, streaming, 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.
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