### Install Dependencies and Model

Source: https://github.com/stepfun-ai/step-video-t2v/blob/main/README.md

Installs necessary dependencies including PyTorch and CUDA, and clones the Step-Video-T2V repository. Flash-attention is optional.

```bash
git clone https://github.com/stepfun-ai/Step-Video-T2V.git
conda create -n stepvideo python=3.10
conda activate stepvideo

cd Step-Video-T2V
pip install -e .
pip install flash-attn --no-build-isolation  ## flash-attn is optional
```

--------------------------------

### Step-Video-T2V Inference Settings

Source: https://github.com/stepfun-ai/step-video-t2v/blob/main/README.md

Recommended inference parameters for the Step-Video-T2V model to achieve high-fidelity and dynamic video generation. These settings balance video fidelity and dynamics.

```markdown
| Models   | infer_steps   | cfg_scale  | time_shift | num_frames |
|:-------:|:-------:|:-------:|:-------:|:-------:|
| Step-Video-T2V | 30-50 | 9.0 |  13.0 | 204
| Step-Video-T2V-Turbo (Inference Step Distillation) | 10-15 | 5.0 |  17.0 | 204 |
```

--------------------------------

### Multi-GPU Inference Deployment

Source: https://github.com/stepfun-ai/step-video-t2v/blob/main/README.md

Deploys Step-Video-T2V using multiple GPUs by decoupling the text encoder, VAE decoder, and DiT. Requires a separate API server for text embeddings and VAE decoding.

```bash
python api/call_remote_server.py --model_dir where_you_download_dir &  ## We assume you have more than 4 GPUs available. This command will return the URL for both the caption API and the VAE API. Please use the returned URL in the following command.

parallel=4  # or parallel=8
url='127.0.0.1'
model_dir=where_you_download_dir

tp_degree=2
ulysses_degree=2

# make sure tp_degree x ulysses_degree = parallel
torchrun --nproc_per_node $parallel run_parallel.py --model_dir $model_dir --vae_url $url --caption_url $url  --ulysses_degree $ulysses_degree --tensor_parallel_degree $tp_degree --prompt "一名宇航员在月球上发现一块石碑，上面印有“stepfun”字样，闪闪发光" --infer_steps 50  --cfg_scale 9.0 --time_shift 13.0
```

--------------------------------

### Step-Video-T2V Technical Report Citation

Source: https://github.com/stepfun-ai/step-video-t2v/blob/main/README.md

BibTeX entry for citing the Step-Video-T2V technical report. This includes authors, title, year, arXiv ID, and primary classification.

```bibtex
@misc{ma2025stepvideot2vtechnicalreportpractice,
      title={Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model},
      author={Guoqing Ma and Haoyang Huang and Kun Yan and Liangyu Chen and Nan Duan and Shengming Yin and Changyi Wan and Ranchen Ming and Xiaoniu Song and Xing Chen and Yu Zhou and Deshan Sun and Deyu Zhou and Jian Zhou and Kaijun Tan and Kang An and Mei Chen and Wei Ji and Qiling Wu and Wen Sun and Xin Han and Yanan Wei and Zheng Ge and Aojie Li and Bin Wang and Bizhu Huang and Bo Wang and Brian Li and Changxing Miao and Chen Xu and Chenfei Wu and Chenguang Yu and Dapeng Shi and Dingyuan Hu and Enle Liu and Gang Yu and Ge Yang and Guanzhe Huang and Gulin Yan and Haiyang Feng and Hao Nie and Haonan Jia and Hanpeng Hu and Hanqi Chen and Haolong Yan and Heng Wang and Hongcheng Guo and Huilin Xiong and Huixin Xiong and Jiahao Gong and Jianchang Wu and Jiaoren Wu and Jie Wu and Jie Yang and Jiashuai Liu and Jiashuo Li and Jingyang Zhang and Junjing Guo and Junzhe Lin and Kaixiang Li and Lei Liu and Lei Xia and Liang Zhao and Liguo Tan and Liwen Huang and Liying Shi and Ming Li and Mingliang Li and Muhua Cheng and Na Wang and Qiaohui Chen and Qinglin He and Qiuyan Liang and Quan Sun and Ran Sun and Rui Wang and Shaoliang Pang and Shiliang Yang and Sitong Liu and Siqi Liu and Shuli Gao and Tiancheng Cao and Tianyu Wang and Weipeng Ming and Wenqing He and Xu Zhao and Xuelin Zhang and Xianfang Zeng and Xiaojia Liu and Xuan Yang and Yaqi Dai and Yanbo Yu and Yang Li and Yineng Deng and Yingming Wang and Yilei Wang and Yuanwei Lu and Yu Chen and Yu Luo and Yuchu Luo and Yuhe Yin and Yuheng Feng and Yuxiang Yang and Zecheng Tang and Zekai Zhang and Zidong Yang and Binxing Jiao and Jiansheng Chen and Jing Li and Shuchang Zhou and Xiangyu Zhang and Xinhao Zhang and Yibo Zhu and Heung-Yeung Shum and Daxin Jiang},
      year={2025},
      eprint={2502.10248},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2502.10248},
}
```

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