Colored Noise Diffusion Sampling - plug-and-play, inference-time sampler.

Project: Paper: Github: Diffusion models generate images with a spectral bias: low-frequency global structure is resolved early in the sampling trajectory, while high-frequency detail emerges only at the very end. Standard SDE solvers ignore this dynamic entirely - they inject uniform white noise at every step, wasting the finite stochastic energy budget on frequency bands that are already structurally resolved. CNS reconsiders SDE inference as a targeted energy transfer.