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

This article from Hugging Face likely discusses the optimization of Stable Diffusion (SD) Turbo and SDXL Turbo models for faster inference. It probably focuses on leveraging ONNX Runtime and Olive, tools designed to improve the performance of machine learning models. The core of the article would be about how these tools are used to achieve faster image generation, potentially covering aspects like model conversion, quantization, and hardware acceleration. The target audience is likely AI researchers and developers interested in optimizing their image generation pipelines.

• •ONNX Runtime and Olive are used to optimize SD Turbo and SDXL Turbo.
• •The focus is on accelerating image generation inference.
• •The article likely provides practical implementation details and performance results.