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Tech riderRev. 22 Sept 2026

SimSwap

Ch 396.7of 57AI Face Swap Tools
  1. 1Runs onLinux, self-hosted, Windows
  2. 2Commercial useNo
  3. 3Video face swapYes
  4. 4Multiple facesYes
  5. 5Max output resolution1080p
  6. 6Watermark-free exportYes
6 lines stated Written from the maker's own pages: github.com
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The SimSwap homepage

Overview

SimSwap is ranked #39 of 57 in AI face swap tools on Specifiction. It runs on Linux, Self-hosted, Windows.

Compared on AI face swap tools

Video face swap
Yesgithub.com
Multiple faces
Yesgithub.com
Max output resolution
1080pgithub.com
Watermark-free export
Yesgithub.com
Commercial use
Nogithub.com

Facts

Purpose
SimSwap is an arbitrary face-swapping framework for images and videos that uses one trained model.github.com · 10 Oct 2026
Image support
It supports swapping faces in aligned images and arbitrary images, including replacing one face or all faces in an image.github.com · 10 Oct 2026
Video support
Video options include swapping the highest-confidence face, all faces, a specified face, or multiple specified faces.github.com · 10 Oct 2026
Masking
The usage guide recommends using a mask for better visual effects and also describes bounding-box pasting as an alternative.github.com · 10 Oct 2026
High resolution
The project provides a beta SimSwap 512 model and says to set crop size to 512 to use it.github.com · 10 Oct 2026
Watermark
The example commands add the SimSwap logo watermark by default, and the `--no_simswaplogo` option controls its removal.github.com · 10 Oct 2026
Requirements
The preparation guide recommends a GPU with at least 3 GB of memory and points users without one to a Colab notebook implementation.github.com · 10 Oct 2026
Operating systems
The maker says its recommended setup has been tested on Windows and Ubuntu.github.com · 10 Oct 2026
Dependencies
The README lists Python 3.6+, PyTorch 1.5+, torchvision, OpenCV, Pillow, NumPy, imageio, moviepy, InsightFace, and timm 0.5.4 as dependencies.github.com · 10 Oct 2026
Integrations
The README links to a Colab demo and an image-swapping demo and Docker image on Replicate.github.com · 10 Oct 2026
License and use
The project states it is for academic and non-commercial use only and is released under CC-BY-NC 4.0.github.com · 10 Oct 2026
Use guidance
The README says the project is for technical and academic use and asks users not to apply it to illegal or unethical scenarios.github.com · 10 Oct 2026
Support
The README invites questions through GitHub issues and lists three email addresses for project suggestions and contact.github.com · 10 Oct 2026
Image and video modes
The usage guide documents face swapping in both images and videos.github.com · 11 Oct 2026
Face selection
It supports swapping the detected face with the highest confidence, all faces, or specified faces, including multiple specified faces.github.com · 11 Oct 2026
Blending options
It supports mask-based and bounding-box methods for placing the changed face back into the original image, and recommends using a mask.github.com · 11 Oct 2026
Installation
The preparation guide recommends Anaconda and lists PyTorch, torchvision, InsightFace, ONNX Runtime, and MoviePy among the setup dependencies.github.com · 11 Oct 2026
Supported operating systems
The maker says the documented setup has been tested on Windows and Ubuntu.github.com · 11 Oct 2026
Hardware requirement
The maker expects users to have a GPU with at least 3 GB of memory and points users without one to a Colab notebook implementation.github.com · 11 Oct 2026
Intended use and license
The repository says the project is for technical and academic use and is licensed for academic and non-commercial use under CC-BY-NC 4.0.github.com · 11 Oct 2026

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