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Home / Blog / Benchmarks / Flux.1 on RTX 5080: Images/sec & VRAM Usage, Category: Benchmarks, Slug: flux-1-on-rtx-5080-benchmark, Excerpt: Flux.1 benchmarked on RTX 5080: 1.25 it/s, 3.75 images/min at 1024×1024, VRAM usage, and cost per 1K images., Internal links: 8 –>
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Flux.1 on RTX 5080: Images/sec & VRAM Usage, Category: Benchmarks, Slug: flux-1-on-rtx-5080-benchmark, Excerpt: Flux.1 benchmarked on RTX 5080: 1.25 it/s, 3.75 images/min at 1024×1024, VRAM usage, and cost per 1K images., Internal links: 8 –>

Flux.1 benchmarked on RTX 5080: 1.25 it/s, 3.75 images/min at 1024x1024, VRAM usage, and cost per 1K images.

Can a 16 GB GPU handle a 12 GB model and still be practical? With Flux.1 on the RTX 5080, the answer is yes — but just barely. We ran the numbers on a GigaGPU dedicated server to see where the performance ceiling sits and whether the tight VRAM budget matters in practice.

Generation Speed at 1024×1024

MetricValue
Iterations/sec1.25 it/s
Seconds per image16.0 sec (20 steps)
Images per minute3.75
Resolution1024×1024
SamplerEuler a / DPM++ 2M Karras
Performance ratingGood

Benchmark conditions: 20-step generation at 1024×1024, batch size 1, FP16 precision. Using A1111 WebUI or ComfyUI backend.

VRAM Allocation and Limits

ComponentVRAM
Model weights12.0 GB
Sampling buffer~2.4 GB
Total RTX 5080 VRAM16 GB
Free headroom~4.0 GB

Here is the honest trade-off: 4 GB of headroom means no ControlNet stacking, no casual resolution bumps to 2048x. For straightforward txt2img at 1024×1024, that is perfectly fine. But if your pipeline involves complex ComfyUI graphs, you will want a card with more breathing room — the RTX 3090 at 24 GB is the obvious step up.

Per-Image Costs

Cost MetricValue
Server cost£0.95/hr (£189/mo)
Cost per 1K images£4.22
Images per £1237

Despite the tighter VRAM, the 5080’s Blackwell architecture pushes 52% more iterations per second than the 3090. That translates to £4.22 per thousand images — nearly a pound cheaper per batch. Check our full benchmark table for the complete cost breakdown.

The Verdict

The RTX 5080 is the right Flux.1 card for teams running standard 1024×1024 generation without heavy post-processing in the pipeline. It is faster than the 3090 and cheaper per image, but the 4 GB headroom limits flexibility. For broader advice on GPU selection, see our best GPU for image generation guide and the Flux.1 hosting setup.

Quick deploy:

docker run --gpus all -p 8188:8188 ghcr.io/ai-dock/comfyui:latest

Related benchmarks: all results, Coqui TTS hosting.

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