SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs 事件

SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs arXiv:2601.20273v2 Announce Type: replace-cross Abstract: Diffusion Transformers (DiTs) have gained increasing adoption in high-quality image and video generation. As demand for higher-resolution images and longer videos increases, single-GPU inference becomes inefficient due to increased latency and large activation sizes. Current frameworks employ sequence parallelism (SP) techniques such as