Stable Diffusion, Image Compression, Machine Learning, Artificial Intelligence, Deep Learning.
starts with random noise in the latent space representation and then iteratively de-noises this latent space image by using the trained U-Net, which in simple terms outputs predictions of what it thinks it “sees” in that noise, similarly to how we sometimes see shapes and faces when looking at