facefusion/facefusion

What is FaceFusion?

FaceFusion is an open‑source face‑manipulation platform that lets you run a variety of image‑processing tasks from the command line. It bundles a set of commands for creating, queuing, and executing “jobs” that can apply a sequence of steps to facial images – for example, swapping features, applying filters, or running a batch of transformations.

How to get it running

Install the software – The project provides detailed installation docs and pre‑built installers for Windows and macOS. The README warns that you’ll need some terminal experience, so it’s aimed at users comfortable with command‑line tools.
Run the CLI – The main entry point is python facefusion.py. You can call it with a sub‑command such as run, headless‑run, or any of the many job‑* commands to manage a workflow.
Typical workflow
- job-create – start a new job definition.
- job-add-step – add a processing step (e.g., a face‑swap operation).
- job-submit – queue the job for execution.
- job-run – actually run the queued job, optionally in headless mode.
- Use job-list, job-retry, or job-delete to manage jobs.

What can it do?

The CLI covers the full life‑cycle of a face‑manipulation task:

Run interactively (run) or without a UI (headless‑run).
Batch processing – batch-run lets you apply the same pipeline to many images.
Performance testing – benchmark measures how fast the system runs.
Job orchestration – a rich set of job‑* commands let you build, edit, queue, and retry complex multi‑step pipelines.

The README doesn’t list the specific algorithms (e.g., GANs, diffusion models) but the “industry‑leading” tagline suggests it wraps state‑of‑the‑art face synthesis models.

Who might use it?

Researchers or developers who need a programmable interface for face‑swap, deep‑fake, or other facial image transformations.
Artists or content creators looking for a batch‑able tool to apply consistent effects across many portraits.
Engineers building larger pipelines – the job‑management commands make it easy to integrate FaceFusion into automated workflows.

How mature is the project?

CI status and test coverage badges indicate an active CI pipeline.
The project is licensed under OpenRAIL‑AS, a permissive AI‑focused license.
Documentation is hosted at docs.facefusion.io, and there are dedicated installers for the two major desktop OSes.

Quick start example (pseudo‑code)

# 1. Create a new job
python facefusion.py job-create my‑swap

# 2. Add a face‑swap step (the exact step name depends on the built‑in models)
python facefusion.py job-add-step my‑swap swap‑faces --source img1.jpg --target img2.jpg

# 3. Queue and run the job
python facefusion.py job-submit my‑swap
python facefusion.py job-run my‑swap

Bottom line

FaceFusion is a command‑line‑driven, job‑oriented platform for applying advanced face‑manipulation techniques to images. It’s geared toward technically‑savvy users who want to script or batch‑process facial edits, and it provides a fairly complete set of commands for managing those workflows.