Diffusion caching stops trusting raw probe drift: dividing by trajectory movement cuts LPIPS at the same compute
A training-free diffusion caching rule spends its exact denoiser evaluations where they matter by dividing shallow-probe output change by input displacement, lowering median LPIPS at matched exact-compute budgets on FLUX.1-dev, Wan2.1 and Open-Sora 1.2.