TripoSR EU AI Act Compliance Profile

Try our new model: SF3D with several improvements such as faster generation and more game-ready assets.

The model is available here and we also have a demo.

TripoSR

TripoSR is a fast and feed-forward 3D generative model developed in collaboration between Stability AI and Tripo AI.

Model Details

Model Description

We closely follow LRM network architecture for the model design, where TripoSR incorporates a series of technical advancements over the LRM model in terms of both data curation as well as model and training improvements. For more technical details and evaluations, please refer to our tech report.

• Developed by: Stability AI, Tripo AI
• Model type: Feed-forward 3D reconstruction from a single image
• License: MIT
• Hardware: We train TripoSR for 5 days on 22 GPU nodes each with 8 A100 40GB GPUs

Model Sources

• Repository: https://github.com/VAST-AI-Research/TripoSR
• Tech report: https://arxiv.org/abs/2403.02151
• Demo: https://huggingface.co/spaces/stabilityai/TripoSR

Training Dataset

We use renders from the Objaverse dataset, utilizing our enhanced rendering method that more closely replicate the distribution of images found in the real world, significantly improving our model’s ability to generalize. We selected a carefully curated subset of the Objaverse dataset for the training data, which is available under the CC-BY license.

Usage

• For usage instructions, please refer to our TripoSR GitHub repository

• You can also try it in our gradio demo

Misuse, Malicious Use, and Out

Your obligations as a TripoSR deployer

Track your progress

Sign up to track obligations, receive deadline reminders, and generate audit packages.

Tags