ByteDance and Stanford open-source Spectrum to 4x diffusion speeds
ByteDance and Stanford researchers just open-sourced Spectrum, a training-free framework that accelerates image and video diffusion models by up to 4.7x. By forecasting future step trajectories with Chebyshev polynomials, it lets models like FLUX.1 and Hunyuan Video generate outputs much faster with virtually no drop in quality.