RTX 3050 - Order Now
Home / Blog / Benchmarks / SD 1.5 on RTX 5080: Images/sec & VRAM Usage, Category: Benchmarks, Slug: sd-1.5-on-rtx-5080-benchmark, Excerpt: SD 1.5 benchmarked on RTX 5080: 18.2 it/s, 43.68 images/min at 512×512, VRAM usage, and cost per 1K images., Internal links: 8 –>
Benchmarks

SD 1.5 on RTX 5080: Images/sec & VRAM Usage, Category: Benchmarks, Slug: sd-1.5-on-rtx-5080-benchmark, Excerpt: SD 1.5 benchmarked on RTX 5080: 18.2 it/s, 43.68 images/min at 512×512, VRAM usage, and cost per 1K images., Internal links: 8 –>

SD 1.5 benchmarked on RTX 5080: 18.2 it/s, 43.68 images/min at 512x512, VRAM usage, and cost per 1K images.

Here is a question worth asking: why would you pair the newest Blackwell architecture with a model released in 2022? Because SD 1.5 is still the backbone of countless production pipelines, and the RTX 5080 makes it absurdly fast. We measured the combination on GigaGPU.

43 Images Per Minute

MetricValue
Iterations/sec18.2 it/s
Seconds per image1.37 sec (25 steps)
Images per minute43.68
Resolution512×512
SamplerEuler a / DPM++ 2M Karras
Performance ratingExcellent

Benchmark conditions: 25-step generation at 512×512, batch size 1, FP16 precision. Using A1111 WebUI or ComfyUI backend.

Memory Layout

ComponentVRAM
Model weights3.2 GB
Sampling buffer~0.6 GB
Total RTX 5080 VRAM16 GB
Free headroom~12.8 GB

Twelve-plus GB of headroom with a 3.2 GB model. You could run SD 1.5 alongside an entire Whisper Large-v3 instance (3.1 GB) and still have 9 GB to spare. Multi-model pipelines on a single card become not just possible but comfortable at this VRAM level.

What Each Image Costs

Cost MetricValue
Server cost£0.95/hr (£189/mo)
Cost per 1K images£0.36
Images per £12778

At 36p per thousand, the 5080 achieves the lowest per-image cost of any card we have tested for SD 1.5. That is not a typo — the Blackwell efficiency gains are substantial. Full numbers on the benchmark comparison page.

The Right Workload

High-volume batch generation. Print-on-demand services processing thousands of variations daily. Marketing teams that need near-instant iterations. At 43 images per minute, the 5080 handles all of it. If you need the absolute maximum throughput, the RTX 5090 pushes past 61 img/min — but at nearly double the monthly cost. Balance your needs using our GPU selection guide.

Quick deploy:

docker run --gpus all -p 7860:7860 ghcr.io/ai-dock/stable-diffusion-webui:latest --sd15

Also see: SD hosting guide, all benchmarks, PaddleOCR hosting.

Deploy SD 1.5 on RTX 5080

Order this exact configuration. UK datacenter, full root access.

Order RTX 5080 Server

Need a Dedicated GPU Server?

Deploy from RTX 3050 to RTX 5090. Full root access, NVMe storage, 1Gbps — UK datacenter.

Browse GPU Servers

gigagpu

We benchmark, deploy, and optimise GPU infrastructure for AI workloads. All data in our guides comes from real-world testing on our UK-based dedicated GPU servers.

Ready to deploy your AI workload?

Dedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.

Browse GPU Servers Contact Sales

Have a question? Need help?