Krea 2 on RTX 3090
Yes — Krea 2 runs on the RTX 3090 (24 GB). Fastest community-measured result: 14.75 s/img, with 18.75 GB peak VRAM.
Krea 2 Turbo (FP8) on RTX 3090 via ComfyUI: 8-Step Text-to-Image, with the Raw Tier in Reach
| Task | Quant | Speed | VRAM | Works | Confidence | Source | Verified |
|---|---|---|---|---|---|---|---|
| t2i | fp8 | 14.75s/img | 18.75GB | ✓ | github.com· github | 2026-06-24 |
- t2ifp814.75 s/img
Firsthand community benchmark by Raigor2 (local-inference-benchmarks), also posted to r/StableDiffusion. Mean of 9 clean runs (1 warmup discarded) on one RTX 3090, timed over the ComfyUI websocket progress stream, fixed prompt/seed. Krea 2 Turbo FP8 (fp8_scaled), 8 steps, 1024x1024: 14.75 s/img, 0.65 it/s, 4.07 img/min, 18.75 GB peak. Author+commenter note int8 (not fp8) is the format Ampere can hardware-accelerate (~2x). Reddit discussion: https://www.reddit.com/r/StableDiffusion/comments/1udzugx/
recorded from github.com ↗ · verified 2026-06-24
- imageintermediate12GB+
Krea 2 Turbo on RTX 5070 (12GB) via ComfyUI + GGUF: 8-Step Text-to-Image
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Krea 2 Turbo on RTX 3080 Ti (12GB) via ComfyUI + GGUF: 8-Step Text-to-Image
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Krea 2 Turbo on RTX 3060 (12GB) via ComfyUI + GGUF: 8-Step Text-to-Image
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Krea 2 Turbo on RTX 4070 Ti (12GB) via ComfyUI + GGUF: 8-Step Text-to-Image
Can you run Krea 2 on RTX 3090?
Yes — Krea 2 runs on the RTX 3090 (24 GB). Fastest community-measured result: 14.75 s/img, with 18.75 GB peak VRAM.
How much VRAM does Krea 2 need on RTX 3090?
Measured peak VRAM is 18.75 GB — about 5.3 GB of headroom on the 24 GB card.
Which quantizations have been tested for Krea 2 on RTX 3090?
fp8 — measured in community benchmarks.
How fast is Krea 2 on RTX 3090?
14.75 s/img (t2i) in the fastest community-measured run.
Are there step-by-step instructions for Krea 2 on RTX 3090?
Yes — a step-by-step recipe documents Krea 2 on the RTX 3090, linked at the top of this page.