ng the expanded $f$-divergence family. The novel unification
introduced by Uni-Instruct not only offers new theoretical contributions that
help understand existing approaches from a high-level perspective but also
leads to state-of-the-art one-step diffusion generation performances. On the
CIFAR10 generation benchmark, Uni-Instruct achieves record-breaking Frechet
Inception Distance (FID) values of \textbf{\emph{1.46}} for unconditional
generation and \textbf{\emph{1.38}} for conditional generation. On the
