Local TTS model

Inflect Nano v2

Catalogue summary: Ultra-small English fixed-voice text-to-waveform TTS with complete downloadable weights, deterministic seeds and punctuation-aware long-text chunking. The Nano checkpoint is under 4M deployable parameters, runs several times faster than real time on CPU and has an official ONNX Runtime export for torch-free local deployment.

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

Edge readytext-to-speech generation1 languagesApache 2.0
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Catalogue quality
8.6/10
Catalogue speed
9.8/10
Model size
3.97M params; 15.97 MB FP32 weights
Voices
One fixed synthetic English voice; Micro/Nano variants share the public API

Can Inflect Nano v2 run locally?

Inflect Nano v2 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.

realtimelow-latencyedge

Audio profile

Cat. quality
8.6
Cat. speed
9.8
Audio
9.0

Best fit

Inflect Nano v2 is best for fast on-device voice responses and local assistants.

Hardware: cpugpuappleedge

Model details

Type
Local TTS model
Family
inflect
Latency
ultra-low
Formats
pytorchonnx
Languages
en
Context
24 kHz mono output, CPU/CUDA PyTorch path, separate official ONNX Runtime export, 10.72x real-time in the published 4-thread CPU run

Install locally

01
Check runtimeConfirm the backend supports pytorch, onnx 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
  • Edge ready local workflows
  • realtime, low-latency, edge

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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