Local TTS model

Orpheus TTS

Q: Can Orpheus TTS run locally?

Orpheus TTS is listed by LocalClaw as a local TTS option. Hardware fit depends on runtime, model size and backend support.

Catalogue summary: LLM-based TTS with human-level naturalness. Supports rich emotion tags (laugh, sigh, hesitation). Built on Llama 3 architecture for unprecedented expressiveness.

Repository editorial metadata; verify comparative claims in the linked upstream material.

GPU recommendedtext-to-speech generation1 languagesApache 2.0

Choose an app

Start with Recommended. No terminal commands are shown.

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Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model Open Python packageVerified package page without exposing a command Open on Hugging FaceFiles, licence and model card Check my machineOptional: verify the fit with your saved hardware

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality

9.6/10

Catalogue 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. Use the verified setup options on this page; no terminal command is required to choose the right path.

Apache 2.0 license. Still verify upstream usage notes before shipping.

Upstream source

emotionstreamingcloning

Audio profile

Cat. quality

9.6

Cat. speed

7.5

Audio

8.9

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

Context

Emotion tags: <laugh> <sigh> <gasp>

Install locally

Check runtimeConfirm the backend supports pytorch, gguf on your machine.

Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.

Test locallyRun a short private audio prompt before moving into production workflows.

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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