Training Infrastructure For Decoder With Cascading Unet Optimization

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Unique: Provides explicit support for cascading Unet training with per-stage loss computation and upsampling conditioning. Includes utilities for progressive resolution scheduling and techniques for stabilizing high-resolution diffusion training (e.g., gradient accumulation, mixed precision).

vs others: More modular than single-stage training approaches because each cascade stage can be trained independently; more complete than minimal implementations because it handles upsampling, conditioning, and multi-scale loss computation automatically.