Efficient Text-to-Image Generation: An Adaptive Step Schedule Controller for Diffusion Models
This work proposes an adaptive diffusion controller that dynamically adjusts the number of steps to generate high-quality images efficiently, without additional model training, by leveraging a mixture of step schedules with varying step sizes.