# neuralchen/SimSwap

An arbitrary face-swapping framework on images and videos with one single trained model!

Repository: https://github.com/neuralchen/SimSwap
Canonical: https://ross.abutalabs.com/products/simswap
Language: Python
License: NOASSERTION
License Family: other
Topics: face, deepfakes, faceswap, gan, swap, deepfacelab, image-manipulation, video, pytorch
Last push: 2024-08-06T17:02:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1912, "days_push": 757, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 5188, forks 994 (observed 2026-08-28T04:09:11.874745+00:00)

## What it is
SimSwap is a PyTorch-based face-swapping framework that performs arbitrary face swaps on images and videos using a single trained model. It was published at ACM Multimedia 2021 and includes a high-resolution variant (SimSwap-HQ) with training and inference code.

## Use cases
- swap a face onto a photo
- face swap in videos with one model
- generate deepfake images for research
- high fidelity face replacement
- train a custom face swapping model
- experiment with GAN-based identity transfer

## When to choose
- you need arbitrary face swapping without retraining per identity
- you want a research-grade, published face-swap method in PyTorch
- you need both image and video face swapping
- you want to reproduce or extend academic face-swap research

## When to avoid
- you need a simple one-click consumer app with a GUI
- your use case is illegal or unethical (non-consensual deepfakes)
- you lack a GPU or the resources to download large pretrained checkpoints
- you need a permissively licensed library for commercial products

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, video-processing, machine-learning, deep-learning
- domain: computer-vision, image-processing, deep-learning, artificial-intelligence
- platform: python, cross-platform
- tags: face-swapping, gan, deepfakes, pytorch, face-manipulation, research, video, gpu

## Member repositories
- neuralchen/SimSwap (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:11.874745+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:01:46.422999+00:00, confidence not recorded.
  - readme: https://github.com/neuralchen/SimSwap (fetched 2026-08-28T04:09:11.874745+00:00, sha 1af1614ef2f4)
- Data as of 2026-08-30T08:39:29.467469+00:00.