This repo contains a work-in-progress implementation of Denoising Diffusion Probabilistic Models (DDPM) in PyTorch.
import ddpm_pytorch
from ddpm_pytorch import diffusion
diffuser = diffusion.DDPM(
model=Unet(dim=64),
image_shape=(3, 32, 32),
trainloader=trainloader,
num_time_steps=1000,
loss='mse'
)
diffuser.train(num_epochs=100)
generated_image = diffuser.sample(
model=diffuser.model,
num_time_steps=1000,
shape=(1,3,32,32)
)$ pip install git+https://github.com/rosikand/ddpm-pytorch.git