Omni Video Factory by elbobo

Omni Video Factory by elbobo

Makes video clips from a text description or a still image, and extends a clip you already have, in a Gradio app that runs in the browser.

Made by elbobo on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: Omni Video Factory is a Gradio app for making short videos with AI. It covers three jobs: video from text, video from an image, and extending a video that already exists. It runs on GPU hardware at Hugging Face, so a browser is all you need to try it.

Who it suits: Creators and small teams who want quick generated clips without setting up video software or a graphics card of their own.

Industry | Who uses it | How they use it | Example
Marketing | Social media managers | Turn a written idea into a short clip | Describe a product scene and wait for the video
Design | Illustrators and photographers | Animate a still picture | Upload an image and ask for motion
Video production | Editors | Lengthen a clip that ends too soon | Feed in a finished clip and extend it
Software | Developers | Study a Gradio video app | Read app.py and the src folder

People who need long, polished films from a full editing suite can skip it.

Where to use it:

• A browser, by visiting the Space on Hugging Face
• A computer of your own that runs Windows, macOS or Linux and has Python 3.12
• A Hugging Face Space with GPU hardware

Use case | Who | What they get back
Text to video | Creators | A generated clip from a written description
Image to video | Designers | A clip that starts from your picture
Video extend | Editors | A longer version of an existing clip

How to set it up:

• Python 3.12 and pip on Windows, macOS or Linux
• The Python packages in requirements.txt
• The system packages in packages.txt, which Hugging Face installs with apt-get
• GPU hardware, since the Space is set to zero-a10g

1. Install the Hugging Face hub package.
2. Download the Space with the hf command.
3. Move into the new folder.
4. Install gradio at the version the Space uses, then the listed packages.
5. Start the app with Python.

pip install -U huggingface_hub
hf download elbobo/Omni-videos --repo-type space --local-dir Omni-videos
cd Omni-videos
pip install gradio==5.44.1
pip install -r requirements.txt
python app.py

How to use it: Online, visit the Space on Hugging Face and pick one of the three modes. On your own computer, run the start command and open the local page Gradio serves.

python app.py

Tool | What it does
text to video | Makes a clip from a written description
image to video | Makes a clip that starts from an image
video extend | Adds more footage to an existing clip

Example: You type a short description of a scene and ask for text to video. After the app has run, it hands back a clip you can watch in the browser.

For newcomers and experts: If you are new, begin with text to video and a one-line description. You will see what a finished clip looks like before you try images or extending.

If you know the field, the repository holds app.py, a src folder, an index.html, and two notes files named AGENTS.md and DEPLOY.md. Gradio 5.44.1 and Python 3.12 are pinned, and extra system packages come from packages.txt. The trade-off is that generation depends on GPU hardware.

You pick text, image or extend
app.py runs on GPU hardware
The model builds the video
You watch the clip in the browser

Good to know:

• Hardware: the Space is set to zero-a10g, so a local copy needs a GPU too
• System packages: packages.txt lists tools installed with apt-get
• License: mit
• Cost to run: GPU hardware, no API key or paid service is named
• Data it reaches: the images, videos and text you give it

On Hugging Face, 13 November 2026

• Likes: 8
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/elbobo/Omni-videos
• Files: https://huggingface.co/spaces/elbobo/Omni-videos/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.