Predict the Noise with a U-Net
The denoiser at the heart of diffusion.
The Denoiser's Job
At every reverse step a single network does the heavy lifting. Its job is simple to state: look at a noisy image and predict the noise inside it.
Why a U-Net
Diffusion almost always uses a U-Net, because its output is the same size as its input: a noisy image in, a noise map out.
All lessons in this course
- Forward Noising & Reverse Denoising
- Predict the Noise with a U-Net
- Sampling Schedules & Guidance
- Run a Pipeline with Diffusers