--- datasets: - vita-video-gen/svi-benchmark language: - en tags: - video generation pipeline_tag: image-to-video library_name: diffusers license: mit project_page: https://stable-video-infinity.github.io/homepage/ papers: - title: 'Stable Video Infinity: Infinite-Length Video Generation with Error Recycling' authors: - Wuyang Li - Wentao Pan - Po-Chien Luan - Yang Gao - Alexandre Alahi url: https://huggingface.co/papers/2510.09212 conference: arXiv preprint, 2025 ---

Stable Video Infinity: Infinite-Length Video Generation with Error Recycling

Paper on Hugging Face Project Page SVI on GitHub SVI Dataset SVI Models

## 🎯 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. ## 📦 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}, } ```