neuralchen/SimSwap

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

5188 stars · 994 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

library · maturity maintenance

image-processing video-processing machine-learning deep-learning computer-vision image-processing deep-learning artificial-intelligence python cross-platform face-swapping gan deepfakes pytorch face-manipulation research video gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="neuralchen/SimSwap")