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--- |
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license: other |
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license_name: sv3d-nc-community |
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license_link: LICENSE |
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datasets: |
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- allenai/objaverse |
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pipeline_tag: image-to-video |
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By clicking "Agree", you agree to the [License Agreement](https://huggingface.co/stabilityai/sv3d/blob/main/LICENSE.md) and acknowledge Stability AI's [Privacy Policy](https://stability.ai/privacy-policy). |
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Name: text |
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Country: country |
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Organization or Affiliation: text |
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Receive email updates and promotions on Stability AI products, services, and research?: |
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type: select |
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- Yes |
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- No |
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--- |
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# Stable Video 3D |
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**Stable Video 3D (SV3D)** is a generative model based on [Stable Video Diffusion](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt) that takes in a still image of an object as a conditioning frame, and generates an orbital video of that object. |
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Please note: For commercial use, please refer to https://stability.ai/license. |
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## Model Details |
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This model was trained to generate 21 frames at resolution 576x576 given a context frame of the same size, finetuned from SVD Image-to-Video. Please check our [tech report](https://stability.ai/s/SV3D_report.pdf) and [video summary](https://youtu.be/Zqw4-1LcfWg) for details. |
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We release two variants of the model: |
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1. **SV3D_u**: This variant generates orbital videos based on single image inputs without camera conditioning. |
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2. **SV3D_p**: Extending the capability of SVD3_u, this variant accommodates both single images and orbital views allowing for the creation of 3D video along specified camera paths. |
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### Model Description |
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* **Developed by**: [Stability AI](https://stability.ai/) |
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* **Model type**: Generative image-to-video model |
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* **License**: [Stability AI Community License](https://huggingface.co/stabilityai/sv3d/raw/main/LICENSE.md). |
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* **Commercial License**: to use this model commercially, please refer to https://stability.ai/license |
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### Model Sources |
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* **Repository**: https://github.com/Stability-AI/generative-models |
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* **Tech report**: https://stability.ai/s/SV3D_report.pdf |
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* **Video summary**: https://youtu.be/Zqw4-1LcfWg |
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* **Project page**: https://sv3d.github.io |
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* **arXiv page**: https://arxiv.org/abs/2403.12008 |
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### Training Dataset |
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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. |
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## Usage |
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For usage instructions, please refer to our [generative models GitHub repository](https://github.com/Stability-AI/generative-models) |
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### Out-of-Scope Use |
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The model was not trained to be factual or true representations of people or events, |
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and therefore using the model to generate such content is out-of-scope for the abilities of this model. |
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The model should not be used in any way that violates Stability AI's [Acceptable Use Policy](https://stability.ai/use-policy). |
