Video Face Swapper

Video Face Swapper

Swaps faces in video through a Gradio web app, going by its name and files. The README gives no description. Use only faces you have the right to use.

Made by asaelk 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: Video Face Swapper is a Gradio app hosted as a Hugging Face Space. Going by its name, it replaces faces in video. The repository holds a roop folder and names the CountFloyd/deepfake model, while the README gives no description of its own. Use only faces you have the right to use.

Who it suits: Video hobbyists, editors and developers who want to see how a face-swap app is put together will get the most from it. The rows below are judgment from the name and the files, not claims from the author.

Industry | Who uses it | How they use it | Example
Film and video | Editors | Try a face replacement on a short clip they own | Swapping in a friend's face, with that friend's consent
Social content | Creators | Put their own face into a clip for a joke or a draft | Replacing a face in a clip they filmed themselves
Education | Computer vision students | Study how a face-swap app is wired into a web page | Reading app.py and the roop folder side by side

You can skip it if you need a documented tool, since the source describes none, or if you do not hold the rights to the faces involved.

Where to use it: It runs in a browser tab, and a copy runs on your own computer.

• A web browser: open the Space page on Hugging Face
• Windows, macOS or Linux: run a copy with Python
• Hugging Face Spaces: the Space is set to cpu-basic hardware there

Use case | Who | What they get back
Try a swap online | People with a clip they may use | Whatever the Space's interface offers, which the README does not describe
Run a local copy | Developers | The same app on their own machine
Read the code | Learners | app.py and the roop folder to study

How to set it up: Using the Space online needs nothing. A local copy needs Python and pip.

• Python with pip
• Gradio 4.27.0
• The packages in requirements.txt

1. Install the Hugging Face hub package.
2. Download the Space's files into a folder.
3. Move into that folder.
4. Install Gradio 4.27.0, then the listed packages.
5. Run app.py with Python.

pip install -U huggingface_hub
hf download asaelk/Video-Face-Swapper --repo-type space --local-dir Video-Face-Swapper
cd Video-Face-Swapper
pip install gradio==4.27.0
pip install -r requirements.txt
python app.py

The file list also shows requirements-headless.txt, but the source gives no command for a run without the interface.

How to use it: Open the Space page and use the interface you find there. With a local copy, run the app file and use the interface it starts. The source shows no other commands or tools.

python app.py

Example: Pick a short clip you own and a face you have permission to use, then run the swap. The name suggests a video with the new face comes back, but the README does not confirm it.

For newcomers and experts: Start online with a short clip and a face you have permission to use. If the interface leaves you unsure, read app.py to see what it asks for.

If you know the field, the stack is Gradio 4.27.0 with a roop folder and the CountFloyd/deepfake model named in the record. The Space runs on cpu-basic hardware at Hugging Face, with no GPU named, and the README does not explain the pipeline.

You open the Space or run python app.py
Gradio starts the interface from app.py
You supply a clip and a face
The app's own code processes them

Good to know:

• License: creativeml-openrail-m, as the Space lists it, so read its terms before you use the results
• Cost to run: no API key, account or paid service named
• Data it reaches: the video and face images you give it, and the source says nothing about how uploads are stored
• Not for: faces you have no right to use, and the source states no other limits

On Hugging Face, 13 November 2026

• Likes: 2
• Built with: gradio
• License: creativeml-openrail-m

Links

• Space: https://huggingface.co/spaces/asaelk/Video-Face-Swapper
• Files: https://huggingface.co/spaces/asaelk/Video-Face-Swapper/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.