Video
Wan2GP
A lean, fast video generator tuned to squeeze big results out of modest GPUs.
★ 9,9 Tsd. SterneCustom (WanGP Community 2.0)
Anleitung ansehen →kandinsky-5 ist ein Open-Source-Projekt aus der Kategorie Video von kandinskylab (kandinskylab/kandinsky-5 auf GitHub). Es hat 829 Sterne auf GitHub und 69 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 7. August 2026 auf GitHub aktualisiert.
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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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.