Analysis updated 2026-05-18
Generate consistent character faces for animation or video production (historical use case, project now discontinued).
Study face-swapping techniques and ethical implications of synthetic media tools in archived codebases.
| s0md3v/roop | jumpserver/jumpserver | fujiwarachoki/moneyprinterv2 | |
|---|---|---|---|
| Stars | 30,490 | 30,392 | 30,387 |
| Language | Python | Python | Python |
| Setup difficulty | hard | hard | hard |
| Complexity | 3/5 | 4/5 | 3/5 |
| Audience | developer | ops devops | pm founder |
Figures from each repo's GitHub metadata at analysis time.
Requires deep learning dependencies (TensorFlow/PyTorch), face detection models, and video processing libraries, archived project may have outdated dependencies.
Roop was a Python tool for face swapping in images and videos, given a photo of one person's face and a target image or video, it would replace the face in the target with the one from the source photo. It was a command-line program that accepted a source image, a target file, and an output path, then processed every frame of the video to perform the substitution. The README notes it was originally framed as a tool for professional use cases such as generating consistent faces for clothing models or character animation. The project has been permanently discontinued and the repository archived. The author states in the README that after releasing it, their view of the broader ethical consequences of software in this category changed, leading them to shut it down. No new contributions or updates are being accepted. The repository exists only as a record. It was written in Python.
Face-swapping tool for images and videos that replaced faces in target media with a source photo. Now archived and discontinued by the author due to ethical concerns.
Mainly Python. The stack also includes Python.
Use it freely, but if you run it as a network service, you must release your changes to users. Strongest copyleft for SaaS.
Setup difficulty is rated hard, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.