Vidéo
Wan2GP
A lean, fast video generator tuned to squeeze big results out of modest GPUs.
★ 9,9 k étoilesCustom (WanGP Community 2.0)
Voir le guide →kandinsky-5 est un projet de vidéo open source, créé par kandinskylab (kandinskylab/kandinsky-5 sur GitHub). Il compte 829 étoiles sur GitHub et 69 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 7 août 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.
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