AI Tutorials
Text-to-Speech
Dia

Install Nari Dia TTS on Windows with Conda

Introduction

Dia is a 1.6B parameter text to speech model created by Nari Labs. Dia capable of generating ultra-realistic dialogue in one pass.

GitHub: https://github.com/nari-labs/dia
Hugging Face: https://hf.co/nari-labs/Dia-1.6B-0626
Demo: https://hf.co/spaces/nari-labs/Dia-1.6B

Prerequisites

System requirements:

  • Operating System: Windows 10/11 (64-bit), macOS, or Linux (Debian/Ubuntu).
  • Python: version >= 3.10 required
  • Disk Space: 10GB+ recommended (for dependencies and model cache). At least 400 MB for Miniconda; 3 GB+ for full Anaconda.
  • The GPU is optional but HIGHLY Recommended for Performance
  • Internet: For downloading dependencies and models from Hugging Face Hub.
Environment Run this Command
CPU only pip3 install torch torchvision
CUDA 11.8 pip3 install torch torchvision torchaudio –index-url https://download.pytorch.org/whl/cu118
CUDA 12.1 pip3 install torch torchvision torchaudio –index-url https://download.pytorch.org/whl/cu121
CUDA 12.6 pip3 install torch torchvision torchaudio –index-url https://download.pytorch.org/whl/cu126
CUDA 12.8 pip3 install torch torchvision torchaudio –index-url https://download.pytorch.org/whl/cu128
CUDA 13.0 pip3 install torch torchvision torchaudio –index-url https://download.pytorch.org/whl/cu130

PyTorch

Note: CUDA version check by command

nvidia-smi

PyTorch

Video tutorial

Coming soon!

Step 1. Install Miniconda Package

Download Miniconda: https://www.anaconda.com/download/success?reg=skipped

Direct link: https://anaconda.com/api/installers/Miniconda3-latest-Windows-x86_64.exe

Step 2. Create Conda Environment

Create a conda environment:

name: dia
channels:
  - conda-forge
  - defaults
dependencies:
  # Python version (requires >= 3.10)
  - python=3.10

  - pip
  - pip:
      # PyTorch CUDA 12.6 wheels
      - --extra-index-url https://download.pytorch.org/whl/cu126
      - torch
      - torchaudio

      # Nari TTS Install Dia directly from GitHub.
      - git+https://github.com/nari-labs/dia.git

Activate conda environment:

conda env create -f environment.yml
conda activate dia

Clone and install Dia from source (run after activating the environment)

git clone https://github.com/nari-labs/dia.git
cd dia

Step 3. Run the Inference

Now, run some examples.

python example/simple.py

The result will be the audio file simple.wav

Gradio app (web interface)

Try Dia without coding:

python app.py

Open your browser and navigate to http://127.0.0.1:7860. The system will automatically download the required model weights from HuggingFace during this first run.

ChatterboxF5-TTS