#198 · Primary category: Video & Animation
VideoSys
VideoSys: An easy and efficient system for video generation
Project last updated:08/27/25
GitHub Stars
2.0K
Forks
129
Contributors
16
License
Apache-2.0
Why we included this project
VideoSys is a system for running text-to-video diffusion models without wiring up each upstream codebase yourself. It puts Open-Sora, CogVideoX, Latte, Vchitect, and Open-Sora-Plan behind a single training and inference interface, so swapping between generators or comparing them in one pipeline is straightforward. Where it stands out is speed: the project contributes published techniques like Dynamic Sequence Parallelism for multi-GPU training, Data-Centric Parallel for batches of variable-length videos, and Pyramid Attention Broadcast (PAB), a training-free method that reaches real-time DiT-based generation with negligible quality loss. If you are building a video generation service or fine-tuning these base models on your own data, this gives you a faster, more memory-efficient starting point than assembling each upstream project separately. It is a system to adopt and run, not a model to consume directly.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
yt-dlp
A feature-rich command-line audio/video downloader
MoneyPrinterTurbo
Generate HD short videos from a topic or keyword with an automated AI workflow.
Deep-Live-Cam
real time face swap and one-click video deepfake with only a single image
manim
Animation engine for explanatory math videos
anime
JavaScript animation engine