A Comprehensive Evaluation of Timestep Discretization Strategies in Text-to-Image Diffusion Models
Text-to-image latent diffusion models produce unprecedented visual fidelity but remain severely bottlenecked by the computational latency of iterative sampling. While optimizing the discretization of the continuous-time variable offers a powerful, training-free acceleration pathway, the comparative tradeoffs of foundat...