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Krea 2 (Turbo) on 24 GB of VRAM

Yes. Q8_0 fits on 24 GB with 7.7 GB to spare. Krea's own 12B model from June 2026, one of the most downloaded ComfyUI releases of the year. Turbo is the 8-step distilled version; Raw is the base for fine-tuning, same size.

Image model · 12.8BAny 24 GB GPUData 2026-10-01
Runs well
Yes, with room to spare.

Q8_0 (13.7 GB) needs about 16.3 GB in use, so 7.7 GB of the 24 GB stays free: room for a larger image, a LoRA or a ControlNet.

Best fileQ8_0
File size13.7 GB
VRAM needed~16.3 GB
System RAM32 GB+
Memory map · 24 GB GPU16.3 GB / 24 GB
012 GB24 GB
Weights Q8_0 · 13.7 GBWorking memory · 1.8 GBReserve · 0.8 GBFree · 7.7 GB

Got an RTX 40 or 50? Swap Q8_0 for FP8 (13.1 GB): same quality class, computed natively there.

01What to download

PartFileFolderSize
Modelkrea2_turbo-Q8_0.gguf
Q8_0 · vantagewithai/Krea-2-Turbo-GGUF
models/unet13.7 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 disk19.2 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 file, on 24 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
26.3 GB28.9 GB4.9 GB too bigthe original weightsHugging Face →
Q8_0 ←
GGUF · vantagewithai
13.7 GB16.3 GBfits · 7.7 GB sparepractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
13.1 GB15.7 GBfits · 8.3 GB sparepractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
13.5 GB16.1 GBfits · 7.9 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · vantagewithai
10.6 GB13.2 GBfits · 10.8 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · vantagewithai
8.9 GB11.5 GBfits · 12.5 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · vantagewithai
7.5 GB10.1 GBfits · 13.9 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · vantagewithai
6.0 GB8.6 GBfits · 15.4 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · vantagewithai
4.9 GB7.5 GBfits · 16.5 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.