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TripoSR

> 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.

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Other
File size
1.56 GB
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vRevision 5b52193
Updated
Sep 15, 2026
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191.8K
Source
Hugging Face

Source description

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

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

Misuse, Malicious Use, and Out-of-Scope Use

The model should not be used to intentionally create or disseminate 3D models that people would foreseeably find disturbing, distressing, or offensive; or content that propagates historical or current stereotypes.

Sources

1 source
Hugging FacePrimaryVersion 5b521936b01fbe1890f6f9baed0254ab6351c04a
huggingface.co/stabilityai/TripoSR/tree/5b521936b01fbe1890f6f9baed0254ab6351c04a

Verified Sep 1

Model artifacts

1 artifact

model.ckpt

ckpt · 1.56 GB · SHA-256 429e2c6b22a0…70ee · Hugging Face

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Source excerpts

2 excerpts

--- datasets: - allenai/objaverse tags: - 3d extra_gated_fields: Name: text Email: text Country: text Organization or Affiliation: text I ALLOW Stability AI to email me about new model releases: checkbox license: mit pipeline_tag: image-to-3d --- > Try our new model: **SF3D** with several improvements such as faster generation and more game-ready assets. > > The model is available [here](https://huggingface.co/stabilityai/stable-fast-3d) and we also have a [demo](https://huggingface.co/spaces/stabilityai/stable-fast-3d). # TripoSR ![](figures/input800.mp4) 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](https://arxiv.org/abs/2311.04400) 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](https://arxiv.org/abs/2403.02151). * **Developed by**: [Stability AI](https://stability.ai/), [Tripo AI](https://tripo3d.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](https://objaverse.allenai.org/objaverse-1.0) 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](https://github.com/VAST-AI-Research/TripoSR) * You can also try it in [our gradio demo](https://huggingface.co/spaces/stabilityai/TripoSR) ### Misuse, Malicious Use, and Out-of-Scope Use The model should not be used to intentionally create or disseminate 3D models that people would foreseeably find disturbing, distressin...

Source context: 191765 downloads · 651 likes · Pipeline image-to-3d · Repo stabilityai/TripoSR