Disentangling Total-Variance and Signal-to-Noise-Ratio Improves Diffusion Models

Diffusion models have been widely adopted as a powerful generative framework across numerous scientific domains, yet their inherently iterative sampling process remains a significant computational bottleneck. While this is typically mitigated by reducing the number of reverse diffusion steps, sample