{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "openspline-openspline--run-avatar-demo-on-own-nvidia-gpu",
 "repo": "openspline/openspline",
 "repo_url": "https://github.com/openspline/openspline",
 "repo_slug": "openspline-openspline",
 "title": "Run a local avatar demo on your own NVIDIA GPU",
 "page_title": "How to run a local avatar demo on your own NVIDIA GPU with Openspline",
 "summary": "Install the GPU service and open a local demo at localhost:7860.",
 "who": "A developer with a Linux or WSL2 machine and an NVIDIA GPU who wants to avoid cloud costs and keep generation local.",
 "problem": "Cloud avatar generation may be unavailable or unwanted, so the developer needs to run the models locally.",
 "outcome": "A working local demo at http://localhost:7860 that generates avatar video on the local GPU.",
 "steps": [
  "Confirm you are on a Linux device or WSL2 with an NVIDIA GPU. AMD and Apple GPUs are not supported.",
  "Run `curl -fsSL https://raw.githubusercontent.com/openspline/openspline/main/install.sh | sh`.",
  "Run `sh ~/.local/share/openspline/run.sh`.",
  "Open http://localhost:7860 in a browser.",
  "Check the GPU service health at `/readyz` on the local address before connecting an SDK client. (inferred, check the README)"
 ],
 "agent_prompt": "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.",
 "agents": [
  "any"
 ],
 "difficulty": "Intermediate",
 "time": "60 minutes",
 "basis": "readme",
 "caveat": "The README says Blackwell and pre-Ampere inference still need hardware validation, and pre-Ampere cards use FP32 with more VRAM needed.",
 "category": "Content",
 "tags": [
  "Content"
 ],
 "lang": "python",
 "requirements": [
  "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"
 ],
 "risk": "dual-use",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.9,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/openspline-openspline/run-avatar-demo-on-own-nvidia-gpu/",
 "md": "https://dedupedai.com/use-cases/openspline-openspline/run-avatar-demo-on-own-nvidia-gpu/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/openspline-openspline--run-avatar-demo-on-own-nvidia-gpu.json",
 "api_version": "v1"
}