You raise good points, if anything, it'd have probably been more accurate of me to express that DDPMs and probabilistic variants fit within the same Bayesian framework as VAEs but with the posterior and likelihood functions simply being markov chains instead.

This allows us to separate non probabilistic diffusion models e.g. cold diffusion. But then again, what's the difference between a deterministic model and sampling from a delta function? ;)