---
title: svi-model
canonical_url: "https://www.modelscope.cn/models/epfl-vita/svi-model"
md_url: "https://www.modelscope.cn/models/epfl-vita/svi-model.md"
repository: epfl-vita/svi-model
last_updated: 2026-06-04
license: mit
pipeline_tag: image-to-video
tasks:
  - image-to-video
parameters: 7.4B
tensor_type:
  - F32
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 323
stars: 0
tags:
  - "video generation"
---

# svi-model

> svi-model - epfl-vita 在 ModelScope 开源的模型。Stable Video Infinity: Infinite-Length Video Generation with Error Recycling

epfl-vita/svi-model 是 ModelScope 魔搭社区上的 7.4B 参数image-to-video模型，采用 mit 许可。

- **Repository**: epfl-vita/svi-model
- **License**: mit
- **Tasks**: image-to-video
- **Parameters**: 7.4B
- **Tags**: video generation
- **Downloads**: 323
- **Stars**: 0
- **Last updated**: 2026-06-04

Source: https://www.modelscope.cn/models/epfl-vita/svi-model

---

<div align="center">

<h1>Stable Video Infinity: Infinite-Length Video Generation with Error Recycling</h1>

<p align="center">   
<a href="https://huggingface.co/papers/2510.09212">     <img src="https://img.shields.io/badge/Paper-HuggingFace-red?logo=huggingface&logoColor=yellow" alt="Paper on Hugging Face"/>   </a>   
<a href="https://stable-video-infinity.github.io/homepage/">     <img src="https://img.shields.io/badge/Project-Page-green" alt="Project Page"/>   </a>   
<a href="https://github.com/vita-epfl/Stable-Video-Infinity">     <img src="https://img.shields.io/badge/SVI-GitHub-black?logo=github&logoColor=white" alt="SVI on GitHub"/>   </a>   
<a href="https://huggingface.co/datasets/vita-video-gen/svi-benchmark">     <img src="https://img.shields.io/badge/SVI_Dataset-Hugging%20Face-orange?logo=huggingface&logoColor=yellow" alt="SVI Dataset"/>   </a>   
<a href="https://www.modelscope.cn/models/epfl-vita/svi-model">     <img src="https://img.shields.io/badge/SVI_Model-ModelScope-624AFF?logo=alibabacloud&logoColor=white" alt="SVI Model on ModelScope"/>   </a>   
<a href="https://huggingface.co/vita-video-gen/svi-model">     <img src="https://img.shields.io/badge/SVI_models-Hugging%20Face-FFCC00?logo=huggingface&logoColor=yellow" alt="SVI Models"/>   </a> </p> </div>

## 🎯 About This Repository
**Stable-Video-Infinity(SVI)** is able to generate ANY-length videos with high temporal consistency, plausible scene transitions, and controllable streaming storylines in ANY domains.
This repository contains the model weights of SVI Family.

## 🌟 Key Highlights
- **OpenSVI**: Everything is open-sourced: training & evaluation scripts, datasets, and more.
- **Infinite Length**: No inherent limit on video duration; generate arbitrarily long stories (see the 10‑minute “Tom and Jerry” demo).
- **Versatile**: Supports diverse in-the-wild generation tasks: multi-scene short films, single‑scene animations, skeleton-/audio-conditioned generation, cartoons, and more.
- **Efficient**: Only LoRA adapters are tuned, requiring very little training data: anyone can make their own SVI easily.

## 🚀 Quick Access

For users who prefer ModelScope, the SVI model weights are also mirrored here:

<p align="center">
  <a href="https://www.modelscope.cn/models/epfl-vita/svi-model">
    <img src="https://img.shields.io/badge/Download%20on-ModelScope-624AFF?style=for-the-badge&logo=alibabacloud&logoColor=white" alt="Download SVI on ModelScope"/>
  </a>
</p>

## 📦 Resources
| **Model** | **Task** | **Input** | **Output** | **Hugging Face Link** | **Comments** |
|-------|------|-------|--------|-------------------|------------------|
| **ALL** | Infinite possibility | Image + X | X video | [🤗 Folder](https://huggingface.co/vita-video-gen/svi-model/tree/main/version-1.0) |Family bucket! I want to play with all! |
| **SVI-Shot** | Single-scene generation | Image + Text prompt | Long video | [🤗 Model](https://huggingface.co/vita-video-gen/svi-model/resolve/main/version-1.0/svi-shot.safetensors?download=true) | Generate consistent long video with 1 text prompt. (This will never drift) |
| **SVI-Film** | Multi-scene generation | Image + Text prompt stream | Film-style video | [🤗 Model](https://huggingface.co/vita-video-gen/svi-model/resolve/main/version-1.0/svi-film.safetensors?download=true) |  Generate creative long video with 1 text prompt stream (5 second per text). |
| **SVI-Film (Transition)** |  Multi-scene generation | Image + Text prompt stream | Film-style video | [🤗 Model](https://huggingface.co/vita-video-gen/svi-model/resolve/main/version-1.0/svi-film-transitions.safetensors?download=true) |Generate creative long video with 1 text prompt stream. (More scene transitions due to the training data) |
| **SVI-Tom&Jerry** | Cartoon animation | Image  | Cartoon video | [🤗 Model](https://huggingface.co/vita-video-gen/svi-model/resolve/main/version-1.0/svi-tom.safetensors?download=true) | Generate creative long cartoon videos with 1 text prompt stream (This will never drift in our 20 min test)|
| **SVI-Talk** | Talking head | Image + Audio | Talking video | [🤗 Model](https://huggingface.co/vita-video-gen/svi-model/resolve/main/version-1.0/svi-talk.safetensors?download=true) |Generate long videos with audio-conditioned human speaking |
| **SVI-Dance** | Dancing animation | Image + Skeleton | Dance video | [🤗 Model](https://huggingface.co/vita-video-gen/svi-model/resolve/main/version-1.0/svi-dance.safetensors?download=true) | Generate long videos with skeleton-conditioned human dancing  |

Note: If you want to play with T2V, you can directly use SVI with an image generated by any T2I model!

## 📝 Citation
If you find our work helpful for your research, please consider citing our paper. Thank you so much!

```bibtex
@article{li2025stable,
      title={Stable Video Infinity: Infinite-Length Video Generation with Error Recycling}, 
      author={Wuyang Li and Wentao Pan and Po-Chien Luan and Yang Gao and Alexandre Alahi},
      journal={arXiv preprint arXiv: arXiv:2510.09212},
      year={2025},
      url={https://huggingface.co/papers/2510.09212},
}
```