Accelerating SD Turbo and SDXL Turbo Inference with ONNX Runtime and Olive

A new tutorial walks through the process of optimizing Stable Diffusion Turbo and SDXL Turbo inference performance using ONNX Runtime and Microsoft's Olive toolchain. The guide targets production workflows where faster image generation throughput is a priority, showing how the two tools work in tandem to reduce latency without sacrificing output quality.

For post-production and generative media teams already deploying diffusion-based image pipelines, this kind of inference optimization can translate directly into faster iteration cycles and lower compute costs. The combination of ONNX Runtime's hardware-agnostic execution and Olive's model optimization passes makes the approach broadly applicable across different deployment environments.