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README.md
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<div align="center">
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<h1>Stable Video Infinity: Infinite-Length Video Generation with Error Recycling<h1>
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<p align="center">
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<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>
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<a href="https://stable-video-infinity.github.io/homepage/"> <img src="https://img.shields.io/badge/Project-Page-green" alt="Project Page"/> </a>
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<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>
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<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>
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<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>
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## 🎯 About This Repository
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- **Infinite Length**: No inherent limit on video duration; generate arbitrarily long stories (see the 10‑minute “Tom and Jerry” demo).
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- **Versatile**: Supports diverse in-the-wild generation tasks: multi-scene short films, single‑scene animations, skeleton-/audio-conditioned generation, cartoons, and more.
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- **Efficient**: Only LoRA adapters are tuned, requiring very little training data: anyone can make their own SVI easily.
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## 📦 Resources
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| **Model** | **Task** | **Input** | **Output** | **Hugging Face Link** | **Comments** |
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|-------|------|-------|--------|-------------------|------------------|
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year={2025},
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url={https://huggingface.co/papers/2510.09212},
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}
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```
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<div align="center">
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<h1>Stable Video Infinity: Infinite-Length Video Generation with Error Recycling</h1>
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<p align="center">
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<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>
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<a href="https://stable-video-infinity.github.io/homepage/"> <img src="https://img.shields.io/badge/Project-Page-green" alt="Project Page"/> </a>
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<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>
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<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>
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<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>
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<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>
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## 🎯 About This Repository
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- **Infinite Length**: No inherent limit on video duration; generate arbitrarily long stories (see the 10‑minute “Tom and Jerry” demo).
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- **Versatile**: Supports diverse in-the-wild generation tasks: multi-scene short films, single‑scene animations, skeleton-/audio-conditioned generation, cartoons, and more.
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- **Efficient**: Only LoRA adapters are tuned, requiring very little training data: anyone can make their own SVI easily.
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## 🚀 Quick Access
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For users who prefer ModelScope, the SVI model weights are also mirrored here:
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<p align="center">
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<a href="https://www.modelscope.cn/models/epfl-vita/svi-model">
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<img src="https://img.shields.io/badge/Download%20on-ModelScope-624AFF?style=for-the-badge&logo=alibabacloud&logoColor=white" alt="Download SVI on ModelScope"/>
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</a>
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</p>
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## 📦 Resources
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| **Model** | **Task** | **Input** | **Output** | **Hugging Face Link** | **Comments** |
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|-------|------|-------|--------|-------------------|------------------|
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year={2025},
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url={https://huggingface.co/papers/2510.09212},
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}
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```
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