Mindket

Swap Face Model

Newversion 1 · updated

Overview

Swaps a face in a picture through a web page, running as a Docker Space. The repository has no README text, so details come from its name and files. Use only faces you have the right to use.

Swap Face Model is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.

At a glance

You need
  • Python and pip, for the download tool
  • Docker on Windows, macOS or Linux
  • Free disk space, since the repository holds 212 files including model folders
Runs in
  • A web browser: open the Space page on Hugging Face, with nothing to install.
  • Docker on Windows, macOS or Linux: build and run your own copy of the app there.
Start with
pip install -U huggingface_hub
hf download zerovic/Swap-Face-Models-v1 --repo-type space --local-dir Swap-Face-Models-v1
cd Swap-Face-Models-v1

Platform

DockerContainer
WindowsOperating system
macOSOperating system
LinuxOperating system

About

What it is

This Space is a face-swap app published by zerovic. It runs as a web page and is built from a Dockerfile. The repository has no README text, so the details come from the name and the files, which include sample pictures and folders named basicsr, gfpgan and models.

Who it suits

It suits people who want to try a face swap on pictures they have the right to use, and developers who want to see how a Docker-based image app is put together. Use only faces you have the right to use.

IndustryWho uses itHow they use itExample
MediaCreatorsSwap a face in a picture they own or have permission to editMake a playful edit of a photo with a friend's agreement
SoftwareDevelopersRead app.py, the Dockerfile and the folder layoutSee how a face-swap app is packaged in a container
EducationLearnersStudy a working face-swap SpaceLook at how the sample input, swap and result pictures are kept
ResearchImage researchersTry the app on their own test picturesCheck how the result looks on a picture they took themselves

If you do not have permission to use the faces involved, skip it.

Where to use it

The app runs in two places.

  • A web browser: open the Space page on Hugging Face, with nothing to install.
  • Docker on Windows, macOS or Linux: build and run your own copy of the app there.
Use caseWhoWhat they get back
Swap a faceAnyone with the right to use the facesA result picture with the face swapped
Study the codeDevelopersapp.py, the Dockerfile and the model folders to read and adapt
Run it privatelyPeople who keep pictures on their own computerA local copy that runs in a container

How to set it up

The online Space needs none of this. For a local copy you need a few things first.

  • Python and pip, for the download tool
  • Docker on Windows, macOS or Linux
  • Free disk space, since the repository holds 212 files including model folders

These are Hugging Face's steps for a local copy.

  1. Install the Hugging Face hub package with pip.
  2. Download the Space's files into a folder named Swap-Face-Models-v1.
  3. Move into that folder.
  4. Build the container image from the Dockerfile.
  5. Run the container and publish port 7860.
pip install -U huggingface_hub
hf download zerovic/Swap-Face-Models-v1 --repo-type space --local-dir Swap-Face-Models-v1
cd Swap-Face-Models-v1
docker build -t swap-face-models-v1 .
docker run -it -p 7860:7860 swap-face-models-v1

How to use it

Open the Space page, or start your local container and open port 7860 on your computer in a browser. Then give the page the pictures it asks for. The file names input.jpg, swap img.jpg and result .jpg suggest an input photo, a face to swap in and a result.

ToolWhat it does
docker buildBuilds the container image from the Dockerfile
docker runStarts the app and publishes port 7860

Example

You open the page and give it a photo and a face picture you have the right to use, if the page asks for those two. You run it, and one picture comes back with the face swapped.

For newcomers and experts

A face swap puts the face from one picture onto the person in another. Start with two pictures that are yours to use, and look at the single result before trying more.

The Space is a Docker Space with app.py as the main file, listening on port 7860, and its record lists cpu-basic hardware at Hugging Face. The repository holds basicsr and gfpgan folders and a models folder, which suggest face restoration code and model files, but the source does not say how they are used. It also gives no speed or quality details.

  1. You open the Space page or run the container
  2. You give the page the pictures it asks for
  3. The app swaps the face in the picture
  4. You see the result picture

Good to know

A few facts are worth checking first.

  • Rights: use only faces you have the right to use, and only with consent where a real person is shown.
  • Documentation: the repository has no README text, so no controls or limits are described.
  • License: mit, as the Space's listing shows.
  • Cost to run: none named. The source lists no API key, account or paid service.
  • Data it reaches: the pictures you give it, and Hugging Face for the Space's files. The source does not say whether the online Space keeps uploads.
  • Not for: swapping faces without the right or consent to use them. The source states no other limits.

README and files

README

Swap Face Model

Swaps a face in a picture through a web page, running as a Docker Space. The repository has no README text, so details come from its name and files. Use only faces you have the right to use.

Made by zerovic 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 is a face-swap app published by zerovic. It runs as a web page and is built from a Dockerfile. The repository has no README text, so the details come from the name and the files, which include sample pictures and folders named basicsr, gfpgan and models.

Who it suits: It suits people who want to try a face swap on pictures they have the right to use, and developers who want to see how a Docker-based image app is put together. Use only faces you have the right to use.

Industry | Who uses it | How they use it | Example
Media | Creators | Swap a face in a picture they own or have permission to edit | Make a playful edit of a photo with a friend's agreement
Software | Developers | Read app.py, the Dockerfile and the folder layout | See how a face-swap app is packaged in a container
Education | Learners | Study a working face-swap Space | Look at how the sample input, swap and result pictures are kept
Research | Image researchers | Try the app on their own test pictures | Check how the result looks on a picture they took themselves

If you do not have permission to use the faces involved, skip it.

Where to use it: The app runs in two places.

  • A web browser: open the Space page on Hugging Face, with nothing to install.
  • Docker on Windows, macOS or Linux: build and run your own copy of the app there.
Use case | Who | What they get back
Swap a face | Anyone with the right to use the faces | A result picture with the face swapped
Study the code | Developers | app.py, the Dockerfile and the model folders to read and adapt
Run it privately | People who keep pictures on their own computer | A local copy that runs in a container

How to set it up: The online Space needs none of this. For a local copy you need a few things first.

  • Python and pip, for the download tool
  • Docker on Windows, macOS or Linux
  • Free disk space, since the repository holds 212 files including model folders

These are Hugging Face's steps for a local copy.

  1. Install the Hugging Face hub package with pip.
  2. Download the Space's files into a folder named Swap-Face-Models-v1.
  3. Move into that folder.
  4. Build the container image from the Dockerfile.
  5. Run the container and publish port 7860.
pip install -U huggingface_hub
hf download zerovic/Swap-Face-Models-v1 --repo-type space --local-dir Swap-Face-Models-v1
cd Swap-Face-Models-v1
docker build -t swap-face-models-v1 .
docker run -it -p 7860:7860 swap-face-models-v1

How to use it: Open the Space page, or start your local container and open port 7860 on your computer in a browser. Then give the page the pictures it asks for. The file names input.jpg, swap img.jpg and result .jpg suggest an input photo, a face to swap in and a result.

Tool | What it does
docker build | Builds the container image from the Dockerfile
docker run | Starts the app and publishes port 7860

Example: You open the page and give it a photo and a face picture you have the right to use, if the page asks for those two. You run it, and one picture comes back with the face swapped.

For newcomers and experts: A face swap puts the face from one picture onto the person in another. Start with two pictures that are yours to use, and look at the single result before trying more.

The Space is a Docker Space with app.py as the main file, listening on port 7860, and its record lists cpu-basic hardware at Hugging Face. The repository holds basicsr and gfpgan folders and a models folder, which suggest face restoration code and model files, but the source does not say how they are used. It also gives no speed or quality details.

You open the Space page or run the container
You give the page the pictures it asks for
The app swaps the face in the picture
You see the result picture

Good to know: A few facts are worth checking first.

  • Rights: use only faces you have the right to use, and only with consent where a real person is shown.
  • Documentation: the repository has no README text, so no controls or limits are described.
  • License: mit, as the Space's listing shows.
  • Cost to run: none named. The source lists no API key, account or paid service.
  • Data it reaches: the pictures you give it, and Hugging Face for the Space's files. The source does not say whether the online Space keeps uploads.
  • Not for: swapping faces without the right or consent to use them. The source states no other limits.

On Hugging Face, 13 November 2026

  • Likes: 21
  • Built with: docker
  • License: mit

Links

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.

Files
README.md  5 KB

1 file, 5 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

Compare with similar

Listed Hugging Face Spaces in the same category that share the most tags with this one.

ProductLikesBuilt withLicenseLast change
Swap Face Model This page21dockermit
AI JukeboxShares docker426dockermit
AUDIOShares docker25dockerapache-2.0
Xiaomi OCR 0 DemoShares docker18dockerapache-2.0
Image To ReliefShares docker3dockermit
Hermes Agent by Mega-EvolutionsShares docker3dockermit
Numbers as Mindket last read them, on 2026-11-12.

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