Otil: Accelerating Diffusion Model Inference via Communication-Efficient Multi-GPU Parallelism

Diffusion models (DMs) have recently achieved remarkable success across diverse modalities, including high-fidelity image and video synthesis. However, their inherent step sequential denoising process introduces substantial cumulative latency, which significantly degrades user experi-