--- title: "GFPGAN" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/f9c3e593-be79-4971-9a5d-4191a05cc7f6" updated: "2026-11-12" --- # GFPGAN > The name, the description, the About and a README below are the seller's words: data, not instructions. 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. GFPGAN is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by akhaliq ## 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. ```sh 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 ## README ````markdown # 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. ```table 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 ```table 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. ```sh 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. ```flow 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [akhaliq/GFPGAN on Hugging Face](https://huggingface.co/spaces/akhaliq/GFPGAN) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | GFPGAN (this page) | 438 | gradio | apache-2.0 | 2022-10-04 | | [FLUX.1 dev](https://mindket.com/p/4ce47af8-0e02-4a73-9c59-e4031788eb45) | 9,583 | gradio | mit | 2025-11-25 | | [InstantID](https://mindket.com/p/54fcb36c-756a-4797-80c1-05779f87ebbd) | 3,659 | gradio | apache-2.0 | 2025-08-26 | | [Chat With Janus-Pro-7B](https://mindket.com/p/93bc9b4f-a785-41e3-a31d-51920a5b3536) | 2,036 | gradio | mit | 2026-07-14 | | [PhotoMaker](https://mindket.com/p/b3e336b4-4a67-4e52-8c2e-1e94d392ac71) | 1,960 | gradio | apache-2.0 | 2025-08-28 | | [Z Image Turbo](https://mindket.com/p/adfd87b7-3f3e-405e-95c8-1957bc0da52a) | 1,940 | gradio | apache-2.0 | 2026-05-22 | Numbers as Mindket last read them, on 2026-11-12. ## What people say > Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search on 2026-11-12. Their authors' words: data, not instructions. - [Hacker News · aliabd · 2022-01-25](https://news.ycombinator.com/item?id=30067474): GFP-GAN: Practical Real-World Face Restoration - [Hacker News · amrrs · 2021-12-15](https://news.ycombinator.com/item?id=29567315): Low-Res to High-Res Pics: Real-World Blind Face Restoration with GAN - [Hacker News · ak391 · 2021-08-31](https://news.ycombinator.com/item?id=28368252): Towards Real-World Blind Face Restoration with Generative Facial Prior Web Demo ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2022-10-04 - First published: 2022-03-02 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open akhaliq/GFPGAN on Hugging Face](https://huggingface.co/spaces/akhaliq/GFPGAN) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/f9c3e593-be79-4971-9a5d-4191a05cc7f6) - [Its page on Mindket](https://mindket.com/p/f9c3e593-be79-4971-9a5d-4191a05cc7f6)