---
title: sv3d
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/sv3d"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/sv3d.md"
repository: AI-ModelScope/sv3d
last_updated: 2024-09-25
license: other
pipeline_tag: image-to-video
tasks:
  - image-to-video
parameters: 4.7B
tensor_type:
  - F32
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 3840
stars: 1
---

# sv3d

> sv3d - AI-ModelScope 在 ModelScope 开源的模型。Stable Video 3D Stable Video 3D (SV3D) is a generative model based on Stable Video Diffusion that takes in a still image of an object as a conditioning frame, and generates an orbital video of that object.

AI-ModelScope/sv3d 是 ModelScope 魔搭社区上的 4.7B 参数image-to-video模型，采用 other 许可。

- **Repository**: AI-ModelScope/sv3d
- **License**: other
- **Tasks**: image-to-video
- **Parameters**: 4.7B
- **Downloads**: 3840
- **Stars**: 1
- **Last updated**: 2024-09-25

Source: https://www.modelscope.cn/models/AI-ModelScope/sv3d

---

# Stable Video 3D
![](sv3doutputs.gif)
**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.

Please note: For commercial use, please refer to https://stability.ai/license.

## Model Details

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.

We release two variants of the model:
1. **SV3D_u**: This variant generates orbital videos based on single image inputs without camera conditioning. 
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. 


### Model Description

* **Developed by**: [Stability AI](https://stability.ai/)
* **Model type**: Generative image-to-video model
* **License**: [Stability AI Community License](https://huggingface.co/stabilityai/sv3d/raw/main/LICENSE.md).
* **Commercial License**: to use this model commercially, please refer to https://stability.ai/license


### Model Sources

* **Repository**: https://github.com/Stability-AI/generative-models
* **Tech report**: https://stability.ai/s/SV3D_report.pdf
* **Video summary**: https://youtu.be/Zqw4-1LcfWg
* **Project page**: https://sv3d.github.io
* **arXiv page**: https://arxiv.org/abs/2403.12008

### 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 [generative models GitHub repository](https://github.com/Stability-AI/generative-models)


### Out-of-Scope Use

The model was not trained to be factual or true representations of people or events, 
and therefore using the model to generate such content is out-of-scope for the abilities of this model.
The model should not be used in any way that violates Stability AI's [Acceptable Use Policy](https://stability.ai/use-policy).