DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Abstract Diffusion probabilistic models (DPMs) have achieved impressive success in high-resolution image synthesis, especially in recent large-scale text-to-image generation applications. An essential technique for improving the sample quality of DPMs is guided sampling, which usually needs a large guidance scale to obtain the best sample quality. The commonly-used fast sampler for guided sampling is denoising diffusion implicit models (DDIM), a first-order diffusion ordinary differential equation (ODE) solver that generally needs 100 to 250 steps for high-quality samples. Although recent works propose dedicated high-order solvers and achieve a further speedup for sampling without guidance, their effectiveness…

• NN
  National Natural Science Foundation of China

  Awards: 62076147, 62350080, U2341228, 62061136001, 62276149, 92248303
• TU
  Tsinghua University