#107 · Primary category: Video & Animation
MAGI-1
MAGI-1: Autoregressive Video Generation at Scale
Project last updated:06/17/26
GitHub Stars
3.8K
Forks
241
Contributors
13
License
Apache-2.0
Why we included this project
MAGI-1 takes a different path from the usual one-shot video generators: it produces clips autoregressively, chunk by chunk, so it can stream frames as they finish and keep temporal consistency over longer sequences. The chunk-wise approach also makes scene transitions easier to control, which matters when you are building an actual pipeline rather than rendering a single demo clip. Pretrained weights ship at 4.5B and 24B parameters, with distilled and FP8-quantized versions, plus ComfyUI nodes so the model drops into existing workflows without much glue code. The repo also documents GPU footprints for each size and includes a T5 text encoder and a transformer-based VAE, the kind of practical detail that makes it runnable, not just readable.
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