> ## Documentation Index
> Fetch the complete documentation index at: https://vastai-80aa3a82-rate-limit-change.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# TTS with Nari Labs Dia

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"description": "A step-by-step guide to configuring and running the Nari Labs Dia 1.6b model for text-to-speech generation on Vast.ai with an easy-to-use web interface.",
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    "@type": "HowToStep",
    "name": "Setup Account and Select Template",
    "text": "Setup your Vast account and add credit by reviewing the quickstart guide. Click on Templates and select the recommended 'Dia 1.6b TTS' template. Click the play icon to select the template and go to the search menu to find a GPU. You will need approximately 8GB VRAM for this model."
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  {
    "@type": "HowToStep",
    "name": "Rent GPU and Access Instance",
    "text": "Select a GPU that meets the VRAM requirement (8GB+) and click Rent. After the instance loads, click the 'Open' button to initiate the Instance Portal with links to all services running on the instance."
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    "@type": "HowToStep",
    "name": "Monitor Installation Progress",
    "text": "The TTS application and model will be installed on first launch. From the Instance Portal, view the progress by clicking the 'Instance Logs' tab to monitor the installation status."
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    "@type": "HowToStep",
    "name": "Launch the TTS Interface",
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    "text": "Once the interface has loaded, modify the input text, ensuring each line is prefixed with the speaker ID. Click the 'Generate Audio' button. It will take a few seconds to generate. Once finished, click the play button in the upper right to hear the results. For CLI usage, access files in /workspace/dia directory via SSH or Jupyter terminal."
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Below is a step-by-step guide on how to configure and run Nari Labs Dia 1.6b model for text to speech. Our template will automatically setup an easy to access web based interface to help you get started.

## Find and rent your GPU

1. **Setup your Vast account and add credit:** Review the [quickstart guide](/documentation/get-started/quickstart) to get familar with the service if you do not have an account with credits loaded.
2. **Select the Dia TTS template:** click on [temp](https://cloud.vast.ai/templates/) and select the recomended TTS template [**Dia 1.6b TTS**](https://cloud.vast.ai/?ref_id=62897\&creator_id=62897\&name=Dia%201.6b%20TTS)**. **Click on the play icon to select the template. You will then go to the search menu to find a GPU.&#x20;
   * Click on the Readme link at any time for a detailed guide on how to use the template.
3. **VRAM Requirements**: Check that your **GPU VRAM** is sufficient for the model. You will need approximately 8Gb VRAM

## Steps to Open the TTS Interface

1. **After the instance loads, click the "Open" Button**
   * This will initiate the Instance Portal with links to all the services running on the instance.&#x20;
2. **Check the installation progress**
   * The TTS application and model will be installed on first launch.  From the Instance Portal you can view the progress by clicking the 'Instance Logs' tab.&#x20;
3. **Launch the Application**
   * When the installation is complete, You can click the "Dia TTS Interface" launch button to start the interface.

## Generate some audio

Once the interface has loaded, you can begin generating speech.  Simply modify the input text, ensuring that each line is prefixed with the speaker ID and then click the 'Generate Audio' button.

It will take a few seconds to generate, but once it has finished you can click the play button in the upper right to hear the results.

<Frame caption="Dia TTS Interface">
  <img src="https://mintcdn.com/vastai-80aa3a82-rate-limit-change/UqHdQSWTaU2rVMa_/images/use-cases-ai-audio-generation.webp?fit=max&auto=format&n=UqHdQSWTaU2rVMa_&q=85&s=e96d118c864bc85037b469c314bbd979" alt="Gradio application for speech generation with Dia TTS model" width="1280" height="464" data-path="images/use-cases-ai-audio-generation.webp" />
</Frame>

If you prefer to use the CLI, you can find all of the files you need in the `/workspace/dia` directory which you can access either via SSH or in a Jupyter terminal.

Full instructions for Nari Labs Dia can be found in their [GitHub Repository](https://github.com/nari-labs/dia).