| --- |
| pipeline_tag: text-to-video |
| --- |
| |
| # One-Forcing: Towards Stable One-Step Autoregressive Video Generation |
|
|
| One-Forcing enables stable **1-step autoregressive video generation** by augmenting DMD-based causal distillation with a shared noised-latent adversarial critic. It achieves state-of-the-art 1-step VBench performance and efficient framewise generation. |
|
|
| [**Project Page**](https://aurora-edu.github.io/one-forcing/) | [**Code**](https://github.com/Aurora-edu/One-Forcing) | [**Paper**](https://huggingface.co/papers/2605.23458) |
|
|
| ## Introduction |
|
|
| Recent advances have substantially improved real-time interactive video generation in the autoregressive regime. One-Forcing addresses the quality degradation and latency issues in one-step settings by augmenting the DMD objective with an auxiliary GAN loss. Experiments show it establishes state-of-the-art performance among one-step causal video generation methods. |
|
|
| ## Inference |
|
|
| To use the model, follow the installation instructions in the [official repository](https://github.com/Aurora-edu/One-Forcing). You can run inference using the following commands: |
|
|
| ```bash |
| # Download the trained One-Forcing checkpoint |
| hf download JiaqiFeng/OneForcing checkpoints/one_forcing.pt --local-dir . |
| |
| # Run the inference script |
| bash scripts/infer.sh \ |
| --checkpoint_path checkpoints/one_forcing.pt \ |
| --prompt_path prompts/demos.txt \ |
| --output_folder outputs |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @article{feng2026oneforcing, |
| title={One-Forcing: Towards Stable One-Step Autoregressive Video Generation}, |
| author={Feng, Jiaqi and Cui, Justin and Ban, Yuanhao and Hsieh, Cho-Jui}, |
| journal={arXiv preprint arXiv:2605.23458}, |
| year={2026}, |
| eprint={2605.23458}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV}, |
| url={https://arxiv.org/abs/2605.23458} |
| } |
| ``` |
|
|
| ## Acknowledgements |
|
|
| This codebase builds on [Causal Forcing](https://github.com/thu-ml/Causal-Forcing), [Self Forcing](https://github.com/guandeh17/Self-Forcing), [CausVid](https://github.com/tianweiy/CausVid), and the [Wan](https://github.com/Wan-Video/Wan2.1) model family. |
