[P] Stable Diffusion XL (SDXL) Benchmark - 769 images per dollar on consumer GPUs

Following up from our [Whisper-large-v2 benchmark](https://www.reddit.com/r/MachineLearning/comments/16ftd9v/p_whisper_large_benchmark_137_days_of_audio/), we recently benchmarked **Stable Diffusion XL (SDXL)** on consumer GPUs.

**The result: 769 hi-res images per dollar.**

The images generated were of Salads in the style of famous artists/painters.

We generated **60.6k hi-res images** with randomized prompts, on **39 nodes** equipped with **RTX 3090 and RTX 4090 GPUs.** We saw an average image generation time of **15.60s**, at a per-image cost of **$0.0013**.

## Architecture

We used an inference container based on [**SDNext**](https://github.com/vladmandic/automatic), along …

architecture artists batch processing cost framework generated gpus image image generation images machinelearning per processing prompts rtx rtx 3090 simple