Official PyTorch implementation of:
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation (JBHI 2025)
We propose Fast-DDPM, a simple yet effective approach that improves training speed, sampling speed, and generation quality of diffusion models simultaneously. Fast-DDPM trains and samples using only 10 time steps, reducing the training time to 0.2x and the sampling time to 0.01x compared to DDPM.
The code is only for research… See the full description on the dataset page:
https://huggingface.co/datasets/emad2001/back-up-fast-ddpm.
