MAGI-1

MAGI-1 is an open-weight video generation model that produces clips autoregressively, predicting fixed-length chunks of consecutive frames while denoising per-chunk noise that increases over time. This causal design enables streaming generation and strong image-to-video performance conditioned on text. Pretrained weights and inference code are published for self-hosted use, though generation needs substantial GPU resources.