Видео
LivePortrait
Bring portraits to life!
★ 19,2 тыс. звёздCustom (check repo)
Смотреть руководство →FaceFusion — проект с открытым исходным кодом из категории «Видео» от facefusion (facefusion/facefusion на GitHub). У него 30 113 звёзд на GitHub и 4 919 форков, он распространяется по лицензии Custom (check repo) и последний раз обновлялся на GitHub 3 октября 2026.
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
Wan: Open and Advanced Large-Scale Video Generative Models
AI video editor for talking-head reels: 7 styles, face-safe captions, motion scenes
Clone any viral video with AI agents. Not just a script, the whole workflow: swap the face, the words, the B-roll, ship 100 variants in one command, and get …
Fast and Simple Face Swap Extension Node for ComfyUI (SFW)
Другие проекты из категории «Видео» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если FaceFusion вам не подходит.
A feature-rich command-line audio/video downloader
real time face swap and one-click video deepfake with only a single image
OBS Studio - Free and open source software for live streaming and screen recording
Mirror of https://git.ffmpeg.org/ffmpeg.git
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your A…
Соседние проекты из категории «Видео» в каталоге, ближайшие по числу звёзд к FaceFusion — продолжайте изучать полку по обе стороны от него.
🎥 Make videos programmatically with React
Open-Sora: Democratizing Efficient Video Production for All
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your A…
A self-hosted creative suite with 600+ image and video models behind one clean interface.
Mirror of https://git.ffmpeg.org/ffmpeg.git
A fully automated short-video engine: script, images, voiceover and edit — generated end to end
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.