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View guide →Run visionary locally: the world model carrier built on webgpu-powered gaussia.
visionary is an open-source ai 3d project by Visionary-Laboratory (Visionary-Laboratory/visionary on GitHub). It has 526 GitHub stars and 35 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 26 June 2026.
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around 3dgs for a focused workflow.
Built around 4dgs for a focused workflow.
Built around avatar for a focused workflow.
Built around computer graphics for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/Visionary-Laboratory/visionary.gitSet up Python dependencies.
cd visionary && pip install -r requirements.txtLaunch the application.
cd visionary && python main.pyIt the World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Video Editor for Linux
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