Local TTS model

EMA Lightning

Q: Can EMA Lightning run locally?

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

Catalogue summary: Tiny Apache-licensed Turkish text-to-speech model with downloadable PyTorch weights and an official Python package. The 8.6M-parameter release streams 48 kHz speech, exposes word timings, batches many callers through its Playhead scheduler and runs offline on CPU or GPU.

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

Edge readytext-to-speech generation1 languagesApache 2.0

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Start with the recommended app, or choose another supported option.

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Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model 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

9/10

Catalogue speed

9.8/10

Model size

8.6M params; about 34MB weights

Voices

One built-in Turkish voice; no cloning or emotion control

Can EMA Lightning run locally?

EMA Lightning 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

streamingrealtimelow-latency

Audio profile

Cat. quality

Cat. speed

9.8

Audio

9.3

Best fit

EMA Lightning is best for fast on-device voice responses and local assistants.

Hardware: cpugpuedge

Model details

Type

Local TTS model

Family

ema

Latency

ultra-low

Formats

pytorch

Languages

Context

8.6M params, about 34MB weights, Turkish-only, 48 kHz output, streaming chunks, word timing metadata, CPU path around 6x real time and PyTorch GPU memory reported at 0.28GB plain / 1.39GB batch 64 on RTX 4090

Install locally

Check runtimeConfirm the backend supports pytorch 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
Edge ready local workflows
streaming, realtime, low-latency

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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