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Video and audio

CogVideo

by zai-org

CogVideo and CogVideoX are open-source AI models that create short videos from a text description or a starting image. The repository includes code to run the models, fine-tune them on your own footage, and try them in a browser demo.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHub

Stars
13.2k
Licence
Apache-2.0
Runs on
A gpu machine, with a GPU
Setup
Technical
Language
Python
Age
1617 days

What you can do with it

  • Generate short video clips from a written prompt
  • Animate a still image into a video using the image-to-video model
  • Fine-tune the model with LoRA on your own videos to get a particular style

Make money with it

You could offer short AI-generated video clips or animated product images as a paid service to local businesses and social media managers.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Produce short social media clips, product teasers or background footage without paying for stock video or a per-clip video service
  • Animate product photos or illustrations into short promotional videos for adverts and web pages

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Use Python 3.10 to 3.12, install the dependencies with pip install -r requirements.txt, then run the Diffusers inference script or the SAT demo.

Follow the official instructions in the project README.

Things to check

  • Needs a capable GPU; the 5B model runs on a desktop card such as an RTX 3060 but slowly
  • Prompts work best when rewritten by a large language model, which may need a paid API key
  • Output is short and quality varies, so it is not a replacement for commercial services
  • Model weights have their own licence terms, so check them before commercial use

Who's talking about it

Checked 01 Nov 2026. Summary drafted by AI from the project's README.

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