Local TTS model

Irodori-TTS v4 Large

Catalogue summary: Japanese 3.29B flow-matching TTS model for zero-shot voice cloning, long-reference conditioning, text voice design and emoji-based style control. The official release ships downloadable safetensors weights plus MIT-licensed inference code with CLI and Gradio paths across CUDA, ROCm, Intel XPU and CPU/MPS backends.

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

GPU recommendedtext-to-speech generation1 languagesGemma Terms of Use
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Catalogue quality
9.2/10
Catalogue speed
6.2/10
Model size
3.29B params; 12.25 GB safetensors
Voices
Zero-shot and long-reference voice cloning with up to 120 seconds of combined reference audio

Can Irodori-TTS v4 Large run locally?

Irodori-TTS v4 Large 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.

Gemma Terms of Use license. Review upstream restrictions before commercial use.

cloningemotioncontrollable

Audio profile

Cat. quality
9.2
Cat. speed
6.2
Audio
8.2

Best fit

Irodori-TTS v4 Large is best for local voice cloning and expressive speech generation.

Hardware: gpuapple

Model details

Type
Local TTS model
Family
irodori
Latency
medium
Formats
pytorchsafetensors
Languages
ja
Context
Official uv-based runtime supports CLI, Gradio UI, local checkpoints, reference audio, caption conditioning and backend extras for CUDA 12.8, ROCm, Intel XPU or CPU/MPS

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
  • cloning, emotion, controllable

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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