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Stable Diffusion XL on RTX 5080: Images/sec & VRAM Usage

Stable Diffusion XL benchmarked on RTX 5080: 4.8 it/s, 9.6 images/min at 1024x1024, VRAM usage, and cost per 1K images.

Nearly ten images per minute from a single GPU. The RTX 5080 pushes Stable Diffusion XL into territory where batch processing becomes genuinely fast, generating a 1024×1024 image every 6.25 seconds. We measured the full picture on GigaGPU dedicated infrastructure.

Throughput Data

MetricValue
Iterations/sec4.8 it/s
Seconds per image6.25 sec (30 steps)
Images per minute9.6
Resolution1024×1024
SamplerEuler a / DPM++ 2M Karras
Performance ratingExcellent

30-step, 1024×1024, FP16, batch size 1. The 5080 delivers 50% more throughput than the RTX 3090 and 2.5x the 4060 Ti — Blackwell’s architectural improvements hit hard for diffusion workloads.

Memory Configuration

ComponentVRAM
Model weights6.5 GB
Sampling buffer~1.3 GB
Total RTX 5080 VRAM16 GB
Free headroom~9.5 GB

9.5 GB of headroom is identical to the 4060 Ti but on much faster silicon. The surplus supports higher resolutions, multi-LoRA stacking, and base+refiner pipelines. For truly expansive VRAM needs (high-res batches, simultaneous model loading), the 3090 or 5090 still lead on raw capacity.

Economics

Cost MetricValue
Server cost£0.95/hr (£189/mo)
Cost per 1K images£1.65
Images per £1606

£1.65 per thousand images is the lowest per-image cost in our benchmark suite at standard resolution. The 5080 beats the 3090 (£1.95/K) on cost efficiency because its higher throughput spreads the monthly fee across more images. At continuous generation, you are looking at nearly 14,000 images per day. Check the best GPU for Stable Diffusion guide for a full breakdown.

Where It Shines

The RTX 5080 is the top pick for SDXL when you prioritise images-per-pound. Production pipelines, e-commerce automation, social media content factories, and any application that needs volume at speed will benefit from this card. The only reason to look at the 5090 instead is if you need the extra VRAM for very large batches or hi-res generation beyond 1024×1024.

Quick start:

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

Resources: SDXL hosting guide, best GPU for SD, all benchmarks, Flux.1 hosting.

9.6 Images/Min SDXL — RTX 5080 Servers

Lowest per-image cost in the range. UK datacentre, dedicated hardware, flat rate.

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