How to benchmark image generation models like Stable Diffusion XL

This post details how to benchmark image generation models like Stable Diffusion XL by standardizing configurations (hardware, model version, pipeline) and defining key performance metrics: latency (total generation time), throughput (images per minute), and cost (cost per image). It highlights the importance of considering inference steps, image resolution, concurrency, and batch size to optimize for real-world use cases and make informed tradeoffs.