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Can the RTX 3060 12 GB run Krea 2 (Turbo)?

Not at full quality. The 16-bit and 8-bit files are too big for the RTX 3060 12 GB; the largest that fits is Q5_K_M (8.9 GB).

Image model · 12.8B12 GB GDDR6 · 192-bit · 360 GB/s · AmpereData 2026-10-01
Runs
Yes, with a compressed file.

Q5_K_M (8.9 GB) fits with only 0.5 GB to spare (about 11.5 GB of 12 GB). Quality: close; small differences in fine detail. For better quality, Q6_K (10.6 GB) also runs, with about 1.2 GB spilling into system RAM - a little slower, still practical.

Best fileQ5_K_M
File size8.9 GB
VRAM needed~11.5 GB
System RAM32 GB+
Memory map · RTX 3060 12 GB11.5 GB / 12 GB
06 GB12 GB
Weights Q5_K_M · 8.9 GBWorking memory · 1.8 GBReserve · 0.8 GBFree · 0.5 GB

Also try the FP8 file (13.1 GB) on this GPU. It does not fit entirely, but a current ComfyUI streams the overflow from RAM and native 8-bit files often beat a small GGUF that does fit. Dynamic VRAM →

01What to download

PartFileFolderSize
Modelkrea2_turbo-Q5_K_M.gguf
Q5_K_M · vantagewithai/Krea-2-Turbo-GGUF
models/unet8.9 GBDownload →
Text encoderqwen3vl_4b_fp8_scaled.safetensors
Qwen3-VL 4B FP8 · Comfy-Org/Krea-2
models/text_encoders5.2 GBDownload →
VAEqwen_image_vae.safetensors
Qwen-Image VAE · Comfy-Org/Krea-2
models/vae0.3 GBDownload →
Total download · keep about the same free on disk14.4 GB

Alternatives: Qwen3-VL 4B BF16 (8.9 GB). Sizes from Hugging Face, 2026-10-01.

Free ComfyUI workflow, tested on my RTX 5060 Ti: INT8 workflow (.json). Drag the file into ComfyUI. All workflows →

02Every Krea 2 file on 12 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
26.3 GB28.9 GB16.9 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · vantagewithai
13.7 GB16.3 GB4.3 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
13.1 GB15.7 GB3.7 GB too bigpractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
13.5 GB16.1 GB4.1 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · vantagewithai
10.6 GB13.2 GBspills 1.2 GBvery close to the originalHugging Face →
Q5_K_M ←
GGUF · vantagewithai
8.9 GB11.5 GBfits · 0.5 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · vantagewithai
7.5 GB10.1 GBfits · 1.9 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · vantagewithai
6.0 GB8.6 GBfits · 3.4 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · vantagewithai
4.9 GB7.5 GBfits · 4.5 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.8 GB of working memory for Krea 2 and a 0.8 GB reserve. Sizes 2026-10-01.

03Measured and reported results

Nobody has sent measured numbers for this pair yet. If you run Krea 2 on a RTX 3060 12 GB, send your time per image and peak VRAM and it will appear here, credited.

05About the RTX 3060 12 GB

The RTX 3060 12 GB (Ampere) has no FP8 compute. FP8 files still load and save memory, but ComfyUI converts them back before the maths, so there is no speed gain - Q8_0 GGUF is the closer-to-original 8-bit choice. ComfyUI can compute INT8 files natively on NVIDIA, which is worth a try where a model offers one.

12 GB GDDR6 · 192-bit · 360 GB/s · Ampere. Everything that runs on it →

06Questions

How much VRAM does Krea 2 need?

Around 7.5 GB with the smallest file (Q2_K) and 15.7 GB with an 8-bit file (FP8). The full 16-bit file needs about 28.9 GB.

Which Krea 2 file should I download for the RTX 3060 12 GB?

Q5_K_M (8.9 GB) from vantagewithai/Krea-2-Turbo-GGUF. Load it with Unet Loader (GGUF) from the ComfyUI-GGUF node pack.

FP8 or Q8_0 for Krea 2 on the RTX 3060 12 GB?

Q8_0 (13.7 GB). The RTX 3060 12 GB has no FP8 maths, so FP8 (13.1 GB) only saves memory and is a step further from the original.

How much do I need to download for Krea 2 on the RTX 3060 12 GB?

14.4 GB: krea2_turbo-Q5_K_M.gguf, qwen3vl_4b_fp8_scaled.safetensors, qwen_image_vae.safetensors.