BackTo2014/mnist-demo3

Model Card for Unit 1 of the Diffusion Models Class 🧨

This model is a diffusion model for unconditional image generation of black-and-white images of handwritten digits. The number of cycles of the training loop is 10. Learning rate is 4e-4. This model has a good generation effect.

Usage

from diffusers import DDPMPipeline

pipeline = DDPMPipeline.from_pretrained('BackTo2014/mnist-demo3')
image = pipeline().images[0]
image