Annotated Diffusion Model: DDPM capability overview and PyTorch workflow

AI Impact Summary

The change signals an expansion of diffusion-model capabilities (DDPMs) with PyTorch-centric workflows, aligning with established models like GLIDE, DALL-E 2, Latent Diffusion, and ImageGen. It references standard forward/reverse diffusion processes and widely used toolchains (PyTorch, TensorFlow, ImageNet) that technical teams will need to support in production. Teams should evaluate integration points for training/inference pipelines, model hosting, and data pipelines to realize generation capabilities while managing compute and latency costs.