Video

Step-Video

A large 30B video model producing clips of up to 204 frames. Needs server hardware, but is open under MIT.

Developer
StepFun, China
First release
Feb 2025
Latest release
Mar 2025
Sizes
30B
License
Commercial use allowedMIT
Running
On your own serverNeeds a GPU
Industries
Media and production, Science and research
Deploy on your server Hugging Face GitHub

What it does

  • Video from a description
  • Animating images

Where it is used

MediaR&DProduction

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
no versions
ClusterServer with several GPUs — flagship versions
fits

Versions

  1. Step-Video-TI2V
  2. Step-Video-T2V

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can Step-Video be used in a commercial project?

Yes. License: MIT. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Step-Video need?

At minimum: Server with several GPUs — flagship versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does Step-Video support Russian?

Language does not matter for this model: it does not work with text.

Where can I download Step-Video and what does it cost?

The Step-Video weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

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DetailsVideoHunyuanVideoTencent · ChinaCommercial use with conditions

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Details

Source: huggingface.co/stepfun-ai/stepvideo-ti2v. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.