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--- |
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license: other |
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license_name: stabilityai-ai-community |
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license_link: LICENSE.md |
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datasets: |
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- allenai/objaverse |
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- image-to-3d |
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inference: false |
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pipeline_tag: image-to-3d |
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extra_gated_prompt: >- |
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By clicking "Agree", you agree to the [License |
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Agreement](https://huggingface.co/stabilityai/stable-fast-3d/blob/main/LICENSE.md) |
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and acknowledge Stability AI's [Privacy |
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Policy](https://stability.ai/privacy-policy). |
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--- |
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# Stable Fast 3D |
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**Stable Fast 3D (SF3D)** is a large reconstruction model based on [TripoSR](https://huggingface.co/stabilityai/TripoSR), which takes in a single image of an object and generates a textured UV-unwrapped 3D mesh asset. |
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Please note: For individuals or organizations generating annual revenue of US $1,000,000 (or local currency equivalent) or more, regardless of the source of that revenue, you must obtain an enterprise commercial license directly from Stability AI before commercially using SF3D or any derivative work of SF3D or its outputs, such as "fine tune" models. You may submit a request for an Enterprise License at https://stability.ai/enterprise. Please refer to Stability AI's Community License, available at https://stability.ai/license, for more information. |
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### Model Description |
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* **Developed by**: [Stability AI](https://stability.ai/) |
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* **Model type**: Transformer image-to-3D model |
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* **Model details**: This model is trained to create a 3D model from a single image in under one second. The asset is UV-unwrapped and textured and has a relatively low polygon count. We also perform a delighting step, enabling easier asset usage in downstream applications such as game engines or rendering work. The model also predicts per-object material parameters (roughness, metallic), enhancing reflective behaviors during rendering. The model expects an input size of 512x512 pixels. |
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Please check our [tech report](https://stable-fast-3d.github.io/static/paper.pdf) and [video summary](https://youtu.be/uT96UCBSBko) for details. |
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### License |
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- **Community License:** Free for research, non-commercial, and commercial use by organizations and individuals generating annual revenue of US $1,000,000 (or local currency equivalent) or more, regardless of the source of that revenue. If your annual revenue exceeds US $1M, any commercial use of this model or derivative works thereof requires obtaining an Enterprise License directly from Stability AI. You may submit a request for an Enterprise License at https://stability.ai/enterprise. Please refer to Stability AI's Community License, available at https://stability.ai/license, for more information. |
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### Model Sources |
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* **Repository**: https://github.com/Stability-AI/stable-fast-3d |
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* **Tech report**: https://stability.ai/s/SF3D-10.pdf |
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* **Video summary**: https://youtu.be/uT96UCBSBko |
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* **Project page**: https://stable-fast-3d.github.io |
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* **arXiv page**: soon |
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### Training Dataset |
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We use renders from the [Objaverse](https://objaverse.allenai.org/) dataset, available under the Open Data Commons Attribution License. We utilize our enhanced rendering method, which more closely replicates the distribution of images found in the real world, significantly improving our model's ability to generalize. We filter objects based on the review of licenses and curate a subset suitable for our training needs. |
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## Usage |
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For usage instructions, please refer to our [GitHub repository](https://github.com/Stability-AI/stable-fast-3d) |
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### Intended Uses |
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Intended uses include the following: |
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* Generation of artworks and use in design and other artistic processes. |
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* Applications in educational or creative tools. |
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* Research on reconstruction models, including understanding the limitations of these models. |
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All uses of the model should be in accordance with our [Acceptable Use Policy](https://stability.ai/use-policy). |
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### Out-of-Scope Uses |
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The model was not trained to be factual or true representations of people or events. As such, using the model to generate such content is out-of-scope of the abilities of this model. |
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## Safety |
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As part of our safety-by-design and responsible AI deployment approach, we implement safety measures throughout the development of our models, from the time we begin pre-training a model to the ongoing development, fine-tuning, and deployment of each model. We have implemented a number of safety mitigations that are intended to reduce the risk of severe harms. However, we recommend that developers conduct their own testing and apply additional mitigations based on their specific use cases. |
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For more about our approach to Safety, please visit our [Safety page](https://stability.ai/safety). |
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### Contact |
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Please report any issues with the model or contact us: |
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* Safety issues: safety@stability.ai |
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* Security issues: security@stability.ai |
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* Privacy issues: privacy@stability.ai |
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* License and general: https://stability.ai/license |
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* Enterprise license: https://stability.ai/enterprise |
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