Видео
FaceFusion
Industry leading face manipulation platform
★ 30,1 тыс. звёздCustom (check repo)
Смотреть руководство →CogVideo — проект с открытым исходным кодом из категории «Видео» от zai-org (zai-org/CogVideo на GitHub). У него 13 055 звёзд на GitHub и 1 358 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 4 ноября 2025.
Text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
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/zai-org/CogVideo.git
cd CogVideoIsolate 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 zai-org/CogVideo with 1,358 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
Consumer AI app — chat, image, video and music generation in one place.
Official MiniMax MCP server — TTS, image and video generation for agents.
Research model enforcing 3D constraints in text-to-video generation.
Другие проекты из категории «Видео» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если CogVideo 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 CogVideo — продолжайте изучать полку по обе стороны от него.
Video editing with Python
Open-source AI workspace for creators, powered by Codex: video, image, voice, avatars and editing.
cross-platform (Qt), open-source (GPLv3) video editor
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Wan: Open and Advanced Large-Scale Video Generative Models
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.