What GPU does Krea 2 Turbo need?

48GB-class or bigger, we measured ~46GB peak with the full bf16 pipeline resident. That means rented datacenter cards (B200, H200, H100, A100 80GB) or 48GB workstation silicon; no consumer card applies.

9.5 images/min on a B200 (6.3s per image), 7.25/min on an H200. Older architecture collapses the pace: the A100 80GB manages 3.35/min despite having the memory, this workload wants new compute, not just capacity.

Why run it over FLUX?

Aesthetics. Krea 2 Turbo is tuned for a polished, photorealistic look straight out of the prompt. The trade is weight and speed (FLUX.1 Schnell generates ~8× faster in our data). Draft on Schnell, finish on Krea is a legitimate pipeline.

Is renting it affordable?

Reasonable for curated output: about 570 images per B200-hour. For bulk generation the economics favor Schnell decisively; Krea's rate buys look, not volume.

Where else can I find benchmarks of it?

As far as we know, nowhere. These are the only published Krea 2 Turbo GPU measurements. That's a core purpose of this site: running the workloads nobody else measures, on a fixed methodology.

Krea 2 Turbo · 5 GPUs measured first-party · text-to-image · Updated July 2026

What GPU Do You Need for Krea 2 Turbo?

Krea 2 Turbo is the aesthetics-first image model, Krea's distilled generator tuned for photorealistic, opinionated output rather than raw speed. It's also the heaviest text-to-image workload we've ever measured: ~46GB peak VRAM at bf16, with 9.5 images per minute on a B200 the best result across our 5-GPU run. These are, to our knowledge, the only published benchmarks of it.

Benchmarked weights: krea/Krea-2-Turbo

9.5img/min

Fastest: NVIDIA B200

measured, 3-run llama-bench

~46GB

VRAM needed (measured peak)

GPU-independent, applies to every card

GPUs measured

same pinned harness

6.32s

Per image (fastest card)

1024px, native steps

What GPU Do You Need for Krea 2 Turbo?, images/min, fastest 5

NVIDIA B200

9.5 Images/min

NVIDIA H200

7.25 Images/min

NVIDIA H100 80GB HBM3

6.85 Images/min

NVIDIA RTX PRO 6000 Blackwell Workstation Edition

4.71 Images/min

NVIDIA A100 80GB SXM4

3.35 Images/min

Measured on our own bench. A card absent from this chart has not been run on this model yet, or cannot fit it.

Krea 2 Turbo. Measured image generation speed by GPU

NVIDIA B2009.5

NVIDIA H2007.25

NVIDIA H100 80GB HBM36.85

NVIDIA RTX PRO 6000 Blackwell Workstation Edition4.71

NVIDIA A100 80GB SXM43.35

GPU	Images/min	s per image	img/W·min	Avg power
NVIDIA B200	9.5	6.32	0.012	800.9 W
NVIDIA H200	7.25	8.27	0.011	658.6 W
NVIDIA H100 80GB HBM3	6.85	8.76	0.011	638.1 W
NVIDIA RTX PRO 6000 Blackwell Workstation Edition	4.71	12.74	0.01	491.1 W
NVIDIA A100 80GB SXM4	3.35	17.9	0.01	345.9 W

What you're paying the VRAM for. Krea's pitch is look, not throughput: a model tuned hard toward the polished, photographic aesthetic its creative-tool users want, without the prompt-wrestling. Our numbers frame the cost of that: 6.3 seconds per image on a B200, 8.3 on an H200, and a ~46GB resident pipeline that rules out every consumer and workstation card short of 48GB. This is a rented-silicon model, full stop, and at roughly 570 images per B200-hour, a curated shoot's worth of output costs a few dollars.

Reading our chart. The architecture gap is stark again: the A100 80GB, plenty of memory, crawls at 3.35 images/min, a third of the B200's pace, and even the RTX PRO 6000 (4.71/min) trails the Hopper cards. Like TRELLIS.2, this workload scales with compute generation, not just VRAM. If you're choosing where to run it: B200 for throughput, H100/H200 as the value middle, nothing older than Hopper unless waiting is free.

Our verdict

Krea 2 Turbo: 9.5 images/min peak, ~46GB measured floor, the heaviest image model on our bench and a pure rented-GPU workload. You run it for its signature aesthetic, not its speed; budget Hopper-or-newer silicon and let the per-image quality justify the seconds.

FAQ

What GPU does Krea 2 Turbo need?: 48GB-class or bigger, we measured ~46GB peak with the full bf16 pipeline resident. That means rented datacenter cards (B200, H200, H100, A100 80GB) or 48GB workstation silicon; no consumer card applies.
How fast is it?: 9.5 images/min on a B200 (6.3s per image), 7.25/min on an H200. Older architecture collapses the pace: the A100 80GB manages 3.35/min despite having the memory, this workload wants new compute, not just capacity.
Why run it over FLUX?: Aesthetics. Krea 2 Turbo is tuned for a polished, photorealistic look straight out of the prompt. The trade is weight and speed (FLUX.1 Schnell generates ~8× faster in our data). Draft on Schnell, finish on Krea is a legitimate pipeline.
Is renting it affordable?: Reasonable for curated output: about 570 images per B200-hour. For bulk generation the economics favor Schnell decisively; Krea's rate buys look, not volume.
Where else can I find benchmarks of it?: As far as we know, nowhere. These are the only published Krea 2 Turbo GPU measurements. That's a core purpose of this site: running the workloads nobody else measures, on a fixed methodology.