All You Need Is One GPU: Inference Benchmark for Stable Diffusion

Lambda presents stable diffusion benchmarks with different GPUs including A100, RTX 3090, RTX A6000, RTX 3080, and RTX 8000, as well as various CPUs.

Unlock Faster Image Generation in Stable Diffusion Web UI with NVIDIA TensorRT

Jeremy Howard on X: Very interesting comparison from @LambdaAPI. It shows that RTX 3090 is still a great choice (especially when you consider how much cheaper it is than an A100). A

Hogwarts Legacy GPU Benchmark: 53 GPUs Tested

All You Need Is One GPU: Inference Benchmark for Stable Diffusion

Running the MLPerf™ Inference v1.0 Benchmark on Dell EMC Systems

D] All You Need Is One GPU: Inference Benchmark for Stable Diffusion : r/MachineLearning

Shawn Rushefsky, Author at Salad Technologies Site

Image generation with Stable Diffusion XL and OpenVINO — OpenVINO™ documentationCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to clipboardCopy to

Accelerate Stable Diffusion on Inte GPUs with Intel Extension for

Get Huge SDXL Inference Speed Boost With Disabling Shared VRAM - Tested With 8 GB VRAM GPU : r/StableDiffusion

Salad on LinkedIn: Stable Diffusion Inference Benchmark - Consumer-grade GPUs

OpenVINO™ Blog Techniques for faster AI inference throughput with OpenVINO on Intel GPUs