sampling-efficiency

OpenAI presents sCM (simplified continuous-time consistency models), a new approach that scales consistency models to 1.5B parameters and achieves ~50x speedup over diffusion models by generating high-quality samples in just 2 steps. The method demonstrates comparable sample quality to state-of-the-art diffusion models while using less than 10% of the effective sampling compute.