Local TTS model
VibeVoice 1.5B
Catalogue summary: Open-source long-form multi-speaker TTS model (up to 90 min, up to 4 speakers). Listed as research-first with responsible-use constraints.
Repository editorial metadata; verify comparative claims in the linked upstream material.
GPU recommendedtext-to-speech generation2 languagesMIT
Choose an app
Compare speech modelsStart with Recommended. No terminal commands are shown.
Open model filesRecommended verified starting pointOpen in UnslothLaunches Unsloth Desktop on this modelOpen Python packageVerified package page without exposing a commandOpen on Hugging FaceFiles, licence and model cardCheck 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
9.4/10
Catalogue speed
6.5/10
Model size
5.8 GB
Voices
Up to 4 speakers in long-form dialogue
Can VibeVoice 1.5B run locally?
VibeVoice 1.5B 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.
MIT license. Still verify upstream usage notes before shipping.
streamingdialoguemultilingualemotion
Audio profile
Best fit
VibeVoice 1.5B is best for multilingual local speech generation.
Hardware: gpuapple
Model details
Type
Local TTS model
Family
vibevoice
Latency
medium
Formats
pytorchsafetensors
Languages
en, zh
Context
Research-first release, watermark + disclosure recommended
Install locally
01
Check runtimeConfirm the backend supports pytorch, safetensors on your machine.02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.03
Test locallyRun a short private audio prompt before moving into production workflows.Good for
- text-to-speech generation
- GPU recommended local workflows
- streaming, dialogue, multilingual
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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