Ltx Video Extender

Ltx Video Extender

Makes a video longer in a Gradio app that uses the LTX 2.5 Diffusers model from Lightricks. For creators and developers who want clips that run past their original length.

Made by Sobhanm 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: This Space makes videos longer. Its README claims there is no cap on how long the result can be. It is a Gradio app built around the LTX 2.5 Diffusers video model from Lightricks and runs on ZeroGPU at Hugging Face.

Who it suits: Video creators and developers who have a short clip and want it continued, and people who want to see how an LTX model is wrapped in a web page.

Industry | Who uses it | How they use it | Example
Social media | Short video creators | Continue a clip beyond its original length | Add more footage to the end of a short clip
Marketing | Content teams | Stretch a product clip for a longer slot | Extend a clip before posting it
Software | App developers | Study a small LTX demo | Read app.py and requirements.txt
Research | Video generation researchers | Try an open video model on extension | Test a clip and judge how well it continues

If you need exact control over every frame, an ordinary video editor offers more precision.

Where to use it: It runs in two places.

• A web browser, on the Space's page at Hugging Face with nothing to install
• A local copy on Windows, macOS or Linux, which needs Python 3.12

Use case | Who | What they get back
Extend a clip | Creators | A longer video that continues the original
Study the code | Developers | A short app.py that wraps the LTX model
Run your own copy | Builders | The same page on your own computer

How to set it up: Using it online needs nothing. A local copy needs a few things.

• Python 3.12 and pip
• The packages listed in requirements.txt
• A GPU that can run a video model, since the page was built for ZeroGPU

1. Install the Hugging Face tools.
2. Download the Space into a folder.
3. Move into that folder.
4. Install Gradio and the packages from requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download Sobhanm/ltx-video-extender --repo-type space --local-dir ltx-video-extender
cd ltx-video-extender
pip install gradio==6.31.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space page, add a video and run the extension. The page returns a longer video. In a local copy, run python app.py to open the same page on your own computer.

Example: You add a short clip and run the extender. The page hands back a longer clip that carries on from where yours stopped.

For newcomers and experts: Start with a short clip so the run finishes quickly, and check how the new part matches the old one.

The app uses the LTX 2.5 model in its Diffusers form. The repository is minimal, with app.py and requirements.txt, so the extension method is whatever that script does with the model. The README does not describe it.

You add a video
The app passes it to the LTX model
The model generates the continuation
The longer video comes back

Good to know: The README is one line, so the input formats, the real length limits and the quality are not described.

• License: MIT
• Cost to run: ZeroGPU time at Hugging Face, with no key named
• Data it reaches: the videos you add to the page

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: gradio
• License: mit

Links

• Space: https://huggingface.co/spaces/Sobhanm/ltx-video-extender
• Files: https://huggingface.co/spaces/Sobhanm/ltx-video-extender/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.