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How to run a local avatar demo on your own NVIDIA GPU with Openspline

Install the GPU service and open a local demo at localhost:7860.

  • Content
  • Intermediate
  • 60 minutes
  • From the README
  • Any agent

Authorization notice. Openspline is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Who it is forA developer with a Linux or WSL2 machine and an NVIDIA GPU who wants to avoid cloud costs and keep generation local.

The problemCloud avatar generation may be unavailable or unwanted, so the developer needs to run the models locally.

The outcomeA working local demo at http://localhost:7860 that generates avatar video on the local GPU.

What you need first

  • A portrait image of the face to animate, with rights to use it
  • Python 3.x or Node 20+ for the SDK
  • Either an OpenSpline Cloud API key or a Linux or WSL2 machine with an NVIDIA GPU
  • An existing voice AI agent or a TTS provider that outputs PCM audio

Steps

  1. Confirm you are on a Linux device or WSL2 with an NVIDIA GPU. AMD and Apple GPUs are not supported.
  2. Run curl -fsSL https://raw.githubusercontent.com/openspline/openspline/main/install.sh | sh.
  3. Run sh ~/.local/share/openspline/run.sh.
  4. Open http://localhost:7860 in a browser.
  5. Check the GPU service health at /readyz on the local address before connecting an SDK client. (inferred, check the README)

Prompt for your agent

Use the openspline repo (github.com/openspline/openspline) to set up the local GPU service on <target-machine>. Run the install script and launch the demo, then confirm the demo answers at http://localhost:7860. Report the GPU model and whether the demo page loads.

Caveat. The README says Blackwell and pre-Ampere inference still need hardware validation, and pre-Ampere cards use FP32 with more VRAM needed.

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