Pinned
Replying to @WangBinxu
Diffusion models have a property unique among generative models (unlike VAEs, GANs): trained on the same data, they map the same noise seed to almost the same image — i.e. consistency.
It's even true across non-overlapping splits: two models generate samples closer to each other
