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DATASHEET // FACEFUSION

FaceFusion

The most active open face-swap toolkit.

OPEN SOURCE2–8 GB VRAMRuns locally
Actually FreeNo SignupOpen SourceWatermark-FreeHobbyist-OK
Visit FaceFusionUPDATED 2026-05-04 · DIRECT LINK
github.com/facefusion/facefusion
FaceFusion — preview image

HARDWARE REQUIREMENTS //

Runs locally · Entry GPU (6–8 GB)

2–8 GB VRAM
Min VRAM
2 GB
Rec. VRAM
8 GB
Min RAM
8 GB
Rec. RAM
16 GB
Disk
8 GB
GPU class
Entry GPU
11.7+Apple Silicon ✓CPU-CapableQuant: FP16

CPU works; 6 GB+ VRAM gets real-time on 1080p.

[ EDITORIAL PICK ]

Why we recommend FaceFusion

DERIVED FROM METADATA — NOT SPONSORED
  • Open source

    Source is public — you can audit it, fork it, and you'll never lose access to your workflows if FaceFusion the company changes direction.

  • Runs on 2 GB

    Fits on entry-level cards (GTX 1660, RTX 3050, RTX 4060). Rare for this category.

  • Apple Silicon

    Native Metal / MPS support — runs on M-series Macs without CUDA gymnastics.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

VRAM guide

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Easy

    Runs CPU-only — no CUDA / driver gymnastics required.

  • Hardware comfort
    Entry-level

    Fits on 2 GB cards — GTX 1660 / RTX 3050 territory.

  • Ecosystem
    Active community

    Open source plus 3 community resources we've vetted — there are people to ask.

  • Verification
    Recent

    Catalogue entry last updated 73 days ago — re-verification due soon.

[ COMMUNITY GUIDES & WORKFLOWS ]

Tutorials & deep-dives for FaceFusion

Hand-picked from YouTube, Reddit, GitHub, and the wider web. Each link goes straight to the source — we don't intercept or rewrite anything.

[ MORE IN THIS NICHE ]

Other ai video editing tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of FaceFusion.

What is FaceFusion?

FaceFusion is the OSS face-swap framework that took over after Roop and DeepFaceLive: more accurate landmarks, more post-processors, and an actively maintained Gradio UI. Built on InsightFace + ONNX Runtime — runs CPU-only if you must, but a GPU makes it usable in real time.

Pros & cons

✓ PROS

  • Cleaner output than Roop / earlier OSS face-swap tools
  • Live webcam mode for real-time swap
  • Modular post-processing (face enhancer, expression restorer, frame upscaler)
  • CPU fallback for low-spec users

– CONS

  • Politically charged tool — review your jurisdiction's law before publishing
  • Quality on heavy motion / occlusion still lags commercial offerings

What's actually free?

MIT-licensed.

✓ Actually FreeNo SignupOpen SourceWatermark-Free