2024
Mixture of Efficient Diffusion Experts Through Automatic Interval and Sub-Network Selection
ECCV 2024poster
"Diffusion probabilistic models can generate high-quality samples. Yet, their sampling process requires numerous denoising steps, making it slow and computationally intensive. We propose to reduce the sampling cost by pruning a pretrained diffusion model into a mixture of efficient experts. First, w…