---
title: Light Forcing Video Generation
emoji: 🎬
colorFrom: gray
colorTo: pink
sdk: gradio
sdk_version: 6.15.1
app_file: app.py
short_description: Text-to-video with Light Forcing sparse attention
python_version: "3.12"
startup_duration_timeout: 30m
---

# Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention

This Space demonstrates **Light Forcing**, a sparse attention acceleration method for autoregressive (AR) video generation models. It generates short videos (~5 seconds) from text prompts using the Wan2.1-T2V-1.3B model with Light Forcing's chunk-aware sparse attention.

## How it works

Light Forcing introduces:
- **Chunk-Aware Growth**: quantitatively estimates the contribution of each chunk to determine sparsity allocation
- **Hierarchical Sparse Attention**: captures informative historical and local context in a coarse-to-fine manner

## Model

- Base model: [Wan-AI/Wan2.1-T2V-1.3B](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)
- Light Forcing checkpoint: [mack-williams/Light-Forcing](https://huggingface.co/mack-williams/Light-Forcing)
- Paper: [arXiv:2602.04789](https://arxiv.org/abs/2602.04789)
- Code: [GitHub](https://github.com/chengtao-lv/LightForcing)

## License

Apache 2.0