AnimateDiff Tour

Key Insight

AnimateDiff turns any community Stable Diffusion image checkpoint into a short-video generator without retraining it: it slots a separately trained motion module — a stack of time-aware layers — between the frozen image model's blocks, and that one module supplies all the motion knowledge. This project plugs that module into an off-the-shelf SD 1.5 checkpoint and generates animated stills (subtle, looping motion on an otherwise static scene), letting you swap art styles freely while the same motion module animates each one. The lesson is that motion can be learned once and reused across many image models — a clean example of temporal inflation packaged as a drop-in part rather than a model you must train end to end.