GFPGAN

GFPGAN

A Gradio app named after the GFPGAN face restoration approach, built to try in a browser. Its README gives no description, so the page shows what it takes and returns.

Made by akhaliq 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: GFPGAN is a Gradio app on Hugging Face Spaces, built with Gradio 3.1.7. The name refers to the GFPGAN face restoration approach, but the README gives no description, so what the page asks for and returns is clear only when you open it. The repository holds app.py plus two package lists.

Who it suits: It suits people who want to try a face restoration demo in a browser, and developers who want to see how such a model is packaged as a Space.

Industry | Who uses it | How they use it | Example
Photography | Hobbyists | Try the demo on a face photo | Open the Space and give it a picture
Software | Python developers | Read app.py and the package lists to see how it is set up | Download the Space and open requirements.txt
Education | Instructors | Show an image model running in a web page | Run the Space in a lesson

Anyone who needs documented settings or output quality can skip it, since the README gives none.

Where to use it:

• A web browser, straight from the Space page on Hugging Face
• Windows, macOS or Linux with Python, as a local copy

Use case | Who | What they get back
Try the demo online | Anyone curious | The Gradio page running in the browser with nothing to install
Study the packaging | Developers | An app file, a Python package list and a system package list

How to set it up: Using it online needs nothing. A local copy needs these first.

• Python and pip
• The huggingface_hub package, to fetch the files
• Gradio at version 3.1.7, and the packages in requirements.txt
• The system packages in packages.txt, which Hugging Face installs with apt-get

1. Install the Hugging Face Hub package.
2. Download the Space into a folder called GFPGAN.
3. Move into that folder.
4. Install Gradio 3.1.7, then the packages from requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download akhaliq/GFPGAN --repo-type space --local-dir GFPGAN
cd GFPGAN
pip install gradio==3.1.7
pip install -r requirements.txt
python app.py

How to use it: Open the Space page on Hugging Face and use the page that loads. For a local copy, run python app.py in the folder and open the page it starts.

Example: You run python app.py inside the GFPGAN folder. The Gradio page comes up in your browser, and you try it there the same way as on the Space page.

For newcomers and experts: If you are new, open the Space page and look at what it asks for. Nothing needs installing, so you can try it straight away.

If you know the field, the Gradio version is pinned to 3.1.7, an early release, and the app needs system packages as well as Python ones. A local run on Windows must replace the apt-get step by hand.

Open the Space or run python app.py
app.py loads the model and its packages
Gradio shows the page in your browser

Good to know:

• The README gives no description, so the exact inputs and outputs are clear only on the page
• It is pinned to Gradio 3.1.7 and needs the system packages in packages.txt
• License: apache-2
• Cost to run: none named
• Data it reaches: the pictures you give it

On Hugging Face, 13 November 2026

• Likes: 438
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/akhaliq/GFPGAN
• Files: https://huggingface.co/spaces/akhaliq/GFPGAN/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.