Wan2GP
A lean, fast video generator tuned to squeeze big results out of modest GPUs.
kandinsky-5 — проект с открытым исходным кодом из категории «Видео» от kandinskylab (kandinskylab/kandinsky-5 на GitHub). У него 829 звёзд на GitHub и 69 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 7 августа 2026.
Open diffusion models for both video and image generation.
Choose image or video generation.
Diffusion models need capable GPUs.
Set up per the README.
Run image or video inference.
Multiple sizes and capabilities.
Motion synthesis from the same lab.
Stills alongside video.
Download and run the models.
Permissive use terms.
Kandinsky continues model releases.
Download the source and move into the project folder.
git clone https://github.com/kandinskylab/kandinsky-5.git
cd kandinsky-5Every project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandMIT licensed — commercial use allowed with attribution.
Check the README — video models are the heavy ones.
A different lab, architecture, and training — compare outputs yourself.
Yes — downloadable for local inference.
5.0 is the current family — check the repo for variants.
A lean, fast video generator tuned to squeeze big results out of modest GPUs.
HunyuanVideo: A Systematic Framework For Large Video Generation Model
Text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
The benchmark suite for evaluating AI video generation models.
Official MiniMax MCP server — TTS, image and video generation for agents.
Consumer AI app — chat, image, video and music generation in one place.
Другие проекты из категории «Видео» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если kandinsky-5 вам не подходит.
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Mirror of https://git.ffmpeg.org/ffmpeg.git
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Соседние проекты из категории «Видео» в каталоге, ближайшие по числу звёзд к kandinsky-5 — продолжайте изучать полку по обе стороны от него.
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A floating always-on-top teleprompter for macOS — perfect for quick videos.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.