Adaptive token compression halves diffusion model cost

Latency still blocks diffusion models from being practical in interactive editing tools. HiLo‑Token proves that input‑adaptive high‑low frequency token compression can halve that latency while keeping generation quality unchanged, delivering up to a 3.13× speedup on typical edits [1] . In current pipelines the Diffusion Transformer (DiT) consumes the bulk of compute, accounting for about 73 % of total model latency