A Unity 6 integration for VyvoTTS. VyvoTTS is a Text-to-Speech (TTS) training and inference framework built on top of the LLM model. This package is experimental, designed specifically to test local TTS capabilities on mobile devices.

• Platforms: * Windows and Android

Follow these steps exactly to ensure all native dependencies are resolved.

Open your project's Packages/manifest.json and update it to include the scoped registry and the Git dependencies.

{
  "scopedRegistries": [
    {
      "name": "npm",
      "url": "https://registry.npmjs.com",
      "scopes": [
        "com.github.asus4"
      ]
    }
  ],
  "dependencies": {
    "com.github.asus4.onnxruntime": "0.4.2",
    "com.github.asus4.onnxruntime.unity": "0.4.2",
    "ai.lookbe.llamacpp": "https://github.com/lookbe/llama-cpp-unity.git",
    "ai.lookbe.vyvotts": "https://github.com/lookbe/vyvo-tts-unity.git",

    ... other dependencies
  }
}

You must download the following two models separately:

1. VyvoTTS Model (GGUF format): Recommended version: VyvoTTS-LFM2-350M-Jenny-i1-GGUF.
2. SNAC Decoder (ONNX format): Use the exact decoder_model.onnx file from snac_24khz-ONNX.

1. Import Samples: Go to the Package Manager, select VyvoTTS Unity, and import the Basic Vyvo sample.
2. Configure Paths:
   • Select the VyvoTTS object in the Hierarchy.
   • In the Inspector, locate the Model Path and SNAC Model Path fields.
   • Important: Paste the absolute path for both files. For Android testing, ensure the models are accessible via the persistent data path or scoped storage.
3. Run: Press Play. The system will initialize the Vulkan backend on your device.

Note: This package is currently in an experimental state. It is provided specifically to test the feasibility and performance of local neural TTS on mobile hardware.

• VyvoTTS Developed by Vyvo Labs – A TTS training and inference framework built on top of LLM architectures.
• License: The VyvoTTS models are distributed under CC BY-NC 4.0. This means they are for Non-Commercial use only.
• onnxruntime-unity Developed by asus4 – ONNX Runtime integration for Unity.

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