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.
⚡ 3D Model Generators💵 Free — open source under the MIT license; code and weights are freely available with no usage cost.📅 Listed 10 Jun 2026
✨ 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.
⚖️ Pros & Cons
Pros
✓ 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
Cons
✗ Single-view input limits accuracy on complex shapes
✗ Requires technical setup rather than a polished app