Open-source image-to-3D reconstruction model you can run locally
TripoSR is an open-source feed-forward model, released by Stability AI and Tripo AI, that reconstructs a 3D mesh from a single image in well under a second on a modern GPU. Unlike hosted services it runs locally, so you control the pipeline, batch your own data and avoid per-generation fees. The repository ships inference code, pretrained weights and a Gradio demo, and output is a base mesh with textures or vertex colours depending on settings. It is a research-grade building block rather than a finished product, which is exactly what makes it useful for developers embedding reconstruction into their own tools.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
developers embedding 3d reconstruction, research experiments and pipeline automation
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A CUDA-capable GPU is the practical requirement for reasonable speed, and the repository includes guidance on memory. CPU-only runs are possible but slow enough to be impractical for volume work.
Not directly. It produces a plausible mesh from one view, so hidden geometry is guessed. Expect to clean topology and retexture before the model is used in a shipped product.
The hosted service adds refinement passes, rigging and an interface. TripoSR is the open research model: fewer features, no fees, and full control when you run it yourself.
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