SGLang-Diffusion: a high-performance serving framework for diffusion models
PyTorch · x · 2026-10-10
SGLang-Diffusion is a high-performance serving framework for diffusion models, targeting both large-scale offline generation and latency-sensitive real-time inference. RadixArk's Yihao Wang and Kevin Mi will present its design at PyTorch Conference North America 2026 (San Jose, Oct 20-21), covering efficient request scheduling, memory management, batching strategies, and execution-path optimizations for diffusion pipelines built on PyTorch.
Related event: SGLang-Diffusion: High-Performance Serving Framework for Diffusion Models(2 posts)→
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