TripoSR

TripoSR is an open-source, feed-forward model for fast 3D reconstruction from a single image, developed jointly by Tripo AI and Stability AI. Built on the Large Reconstruction Model approach, it generates a textured 3D mesh in under a second on an NVIDIA A100, inferring unseen geometry and texture automatically. The code is MIT-licensed on GitHub with weights on Hugging Face.

TripoSR offers 4 main features. Single-Image to 3D: Reconstructs a full textured 3D mesh from just one input image. Sub-Second Inference: Generates models in under 0.5 seconds on an NVIDIA A100 GPU. Low Compute Footprint: Runs under modest inference budgets, even without a dedicated GPU. Open Weights & MIT License: Code and model weights are freely available on GitHub and Hugging Face.

TripoSR uses a Free — open source under the MIT license; code and weights are freely available with no usage cost. pricing model. Available plans include TripoSR at Free.

Key advantages include: Extremely fast and lightweight image-to-3D generation; Fully open source under a permissive MIT license; Runs locally, even on CPU, with no service fees. Potential drawbacks: Single-view input limits accuracy on complex shapes; Requires technical setup rather than a polished app.

TripoSR is categorized under 3D Model Generators on AI Product List. It is designed for professionals and teams looking for 3d model generators solutions.

Yes, TripoSR offers a free plan. MIT-licensed open-source model. Weights available on Hugging Face. Runs locally on GPU or CPU

You can visit the official TripoSR website at github.com to sign up, explore features, or start a free trial.