A generative computer vision workload example built with Ray Train.
**Workload** shows you how to build and run an end-to-end mini diffusion (image denoising) pipeline on the Food-101-Lite dataset using Ray Train V2 on an Anyscale cluster. You’ll learn to use Ray Data to decode, preprocess, and encode images in parallel, then scale training of a generative computer-vision model across a distributed setup.
