Dia Full Process Guide for Local Deployment
The following key steps need to be completed to run Dia locally:
- Environmental Preparation:pass (a bill or inspection etc)
git clone https://github.com/nari-labs/dia.gitClone the repository and create an isolated virtual environment using Python. - Dependency management:Dependency installation using uv tools (
pip install uv), the tool automatically handles version adaptation for core components such as PyTorch. - Hardware Requirements:Recommended for 16GB RAM devices with NVIDIA GPUs, CPU support for the current version is still under development.
After verifying that the installation was successful, pass theuv run app.pyStart the Gradio service with the default access address ofhttp://127.0.0.1:7860. The first run downloads about 5GB of pre-trained model files.
This answer comes from the articleDia: text-to-speech modeling for generating hyper-realistic multiplayer conversationsThe
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