Video
LivePortrait
Bring portraits to life!
★ 19,2 Tsd. SterneCustom (check repo)
Anleitung ansehen →FaceFusion ist ein Open-Source-Projekt aus der Kategorie Video von facefusion (facefusion/facefusion auf GitHub). Es hat 30.113 Sterne auf GitHub und 4.919 Forks, wird unter der Lizenz Custom (check repo) veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
Industry leading face manipulation platform
Generation, restoration, upscaling, face swap, or lip sync — each project here specializes, so start from the job to be done.
Download the model files the project needs; most READMEs link exact versions and where to place them.
Python environments or Docker images are the norm — follow the install section for your GPU.
Feed in prompts or source media, tune the settings, and re-run until the result lands.
Real model files you download and run — no API key, no per-second billing.
Everything happens on your machine; footage never uploads anywhere.
Each tool focuses on one job and does it well, instead of a shallow all-in-one.
Many of these ship alongside papers and keep absorbing new techniques.
Shared settings, presets, and integrations (especially around ComfyUI) multiply what one tool can do.
Several use permissive licenses — always confirm the model license for your use case.
Download the source and move into the project folder.
git clone https://github.com/facefusion/facefusion.git
cd facefusionIsolate dependencies so nothing clashes with your other projects.
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activateInstall the requirements, then follow the README's launch command (it varies per project).
pip install -r requirements.txtIt varies widely — upscalers run on modest cards, while full video diffusion wants serious VRAM. Check each project's docs.
Often yes for the code, but model weights carry their own licenses — read both.
It is an open-source project at facefusion/facefusion with 4,919 forks. Check the repo's contributors and recent commits to see how active maintenance is.
The gap keeps shrinking; for restoration and upscaling, open tools already match or beat paid ones.
Some do via MPS or CPU, but NVIDIA on Linux/Windows is the best-supported path.
GitHub issues and Discussions on each repo, plus Discord communities for the popular ones.
Bring portraits to life!
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018
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Die anderen Projekte der Kategorie Video mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls FaceFusion nicht das Richtige ist.
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World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your A…
Verwandte Projekte der Kategorie Video im Katalog, die FaceFusion bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your A…
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.