DistriFusion addresses the latency challenge of generating high-resolution images with diffusion models by distributing the computational load across multiple GPUs. It introduces a patch-based parallelization approach that maintains inter-patch communication without sacrificing quality. The method requires no training and has been integrated into production systems like NVIDIA TensorRT-LLM and ColossalAI.