All You Need Is One GPU: Inference Benchmark for Stable Diffusion
Por um escritor misterioso
Last updated 20 maio 2024
Lambda presents stable diffusion benchmarks with different GPUs including A100, RTX 3090, RTX A6000, RTX 3080, and RTX 8000, as well as various CPUs.
All You Need Is One GPU: Inference Benchmark for Stable Diffusion
Stable Diffusion Inference Benchmark — 9 Million Images for $1,872 in 24 hrs
NVIDIA Shows Intel Gaudi2 is 4x Better Performance Per Dollar than its H100
All You Need Is One GPU: Inference Benchmark for Stable Diffusion
LLMs inference comparison : r/LocalLLaMA
Fast Stable Diffusion with FlashAttention + Diffusers · Hazy Research
Get Huge SDXL Inference Speed Boost With Disabling Shared VRAM - Tested With 8 GB VRAM GPU : r/StableDiffusion
Introducing DeciDiffusion 1.0: 3x the Speed of Stable Diffusion with the Same Quality
All You Need Is One GPU: Inference Benchmark for Stable Diffusion
All You Need Is One GPU: Inference Benchmark for Stable Diffusion
hardmaru on X: An Inference Benchmark for #StableDiffusion ran on several GPUs 🔥 Seems you get pretty good value with the RTX 3090. Maybe GPU makers will start running this test to
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