Diffusion models have recently emerged as an expressive and flexible family of generative models. Classifier_Free_DDIM_Mnist.ipynb is simple implementation of a conditional diffusion model, which is capable to generate MNIST digits. The model use the classifier-free guidance without training other classifiers. Additionally, DDIM is adopted to accelerate generating samples in this work.
Generation process of DDIM