動画
FaceFusion
Industry leading face manipulation platform
★ 30.1k スターCustom (check repo)
ガイドを見る →Wan2.1は、Wan-Videoが公開しているオープンソースの動画プロジェクトです（GitHub: Wan-Video/Wan2.1）。GitHubスターは17,089、フォークは3,679で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年3月5日です。
Wan: Open and Advanced Large-Scale Video Generative Models
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/Wan-Video/Wan2.1.git
cd Wan2.1Isolate 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 Wan-Video/Wan2.1 with 3,679 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.
Industry leading face manipulation platform
Bring portraits to life!
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018
A self-hosted creative suite with 600+ image and video models behind one clean interface.
The benchmark suite for evaluating AI video generation models.
Open diffusion models for both video and image generation.
LibreAIカタログに掲載された動画プロジェクトの中で最もスターの多いもの — Wan2.1が合わなかった場合に検討したい、現実的な候補リストです。
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…
カタログの中でWan2.1とスター数が近い動画プロジェクト — 前後の棚もそのまま見て回れます。
Lets make video diffusion practical!
cross-platform (Qt), open-source (GPLv3) video editor
Netflix-level video subtitles and dubbing - a one-click AI subtitle team
Video editing with Python
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 …
Text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)