Video

Open-Sora

A fully open video generation project: weights, code and training recipe. Version 2.0 at 11B makes video from text and from an image.

Developer
HPC-AI Tech, Singapore
First release
Mar 2024
Latest release
Mar 2025
Sizes
up to 11B
License
Commercial use allowedApache 2.0
Running
On your own serverNeeds a GPU
Industries
Science and research, Media and production, Marketing and content
Deploy on your server Hugging Face GitHub

What it does

  • Video from a text description
  • Animating images
  • Training your own video model

Where it is used

R&DMediaAdvertising

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
fits
ClusterServer with several GPUs — flagship versions
fits

Versions

  1. Open-Sora 2.0
  2. Open-Sora 1.2
  3. Open-Sora 1.0

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 Open-Sora be used in a commercial project?

Yes. License: Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does Open-Sora need?

At minimum: One GPU with 16–80 GB — mid-size 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 Open-Sora support Russian?

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

Where can I download Open-Sora and what does it cost?

The Open-Sora 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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Details

Source: huggingface.co/hpcai-tech/Open-Sora-v2. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.