Видео
FaceFusion
Industry leading face manipulation platform
★ 30,1 тыс. звёздCustom (check repo)
Смотреть руководство →HunyuanVideo — проект с открытым исходным кодом из категории «Видео» от Tencent-Hunyuan (Tencent-Hunyuan/HunyuanVideo на GitHub). У него 12 582 звезды на GitHub и 1 343 форка, он распространяется по лицензии Custom (check repo) и последний раз обновлялся на GitHub 29 июня 2026.
HunyuanVideo: A Systematic Framework For Large Video Generation Model
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/Tencent-Hunyuan/HunyuanVideo.git
cd HunyuanVideoIsolate 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 Tencent-Hunyuan/HunyuanVideo with 1,343 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
Mochi 1 — Genmo's open state-of-the-art video generation model, with high-fidelity motion and strong prompt adherence, Apache-2.0
Real-time long video generation — a research model built for speed.
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 HunyuanVideo 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 HunyuanVideo — продолжайте изучать полку по обе стороны от него.
Open-source AI workspace for creators, powered by Codex: video, image, voice, avatars and editing.
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
Text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
Official repository for LTX-Video
Video editing with Python
An agent skill that turns Claude Code or Codex into a motion-design studio for cinematic product videos.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.