Model reference · open weights
DFoT is an open-weight video model from kiwhansong. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | kiwhansong |
|---|---|
| Type | Video models |
| Task | Image→video |
| Released | 2025-02-07 |
| Popularity | 1k downloads / month |
| Licence | Open weights |
About
· · · · · *Equal contribution 1MIT 2CMU 3Harvard
This is the official model hub for the paper History-guided Video Diffusion. We introduce the Diffusion Forcing Tranformer (DFoT), a novel video diffusion model that designed to generate videos conditioned on an arbitrary number of context frames. Additionally, we present History Guidance (HG), a family of guidance methods uniquely enabled by DFoT. These methods significantly enhance video generation quality, temporal consistency, and motion dynamics, while also unlocking new capabilities such as compositional video generation and the stable rollout of extremely long videos.
We provide an interactive demo on HuggingFace Spaces, where you can generate videos with DFoT and History Guidance. On the RealEstate10K dataset, you can generate:
Please check it out and have fun generating videos with DFoT!
All pretrained models can be automatically loaded from our GitHub codebase. Please visit our repository for further instructions!
If our work is useful for your research, please consider citing our paper:
@misc{song2025historyguidedvideodiffusion,
title={History-Guided Video Diffusion},
author={Kiwhan Song and Boyuan Chen and Max Simchowitz and Yilun Du and Russ Tedrake and Vincent Sitzmann},
year={2025},
eprint={2502.06764},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2502.06764},
}
From the published model card. Full card on the HuggingFace links in the sidebar.
How it works
Using it via the API
Once AxForge deploys dfot for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (dfot below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/videos/generations \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"dfot","prompt":"a drone shot over a forest"}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.