Check my GPU →

Krea 2 (Turbo) on 10 GB of VRAM

Not at full quality. The 16-bit and 8-bit files are too big for 10 GB; the largest that fits is Q3_K_M (6.0 GB). 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 10 GB GPUData 2026-10-01
Tight
Only just.

Q3_K_M (6.0 GB) fits with only 1.4 GB to spare (about 8.6 GB of 10 GB). Quality: noticeable loss of detail. For better quality, Q4_K_M (7.5 GB) also runs, with about 0.1 GB spilling into system RAM - a little slower, still practical.

Best fileQ3_K_M
File size6.0 GB
VRAM needed~8.6 GB
System RAM32 GB+
Memory map · 10 GB GPU8.6 GB / 10 GB
05 GB10 GB
Weights Q3_K_M · 6.0 GBWorking memory · 1.8 GBReserve · 0.8 GBFree · 1.4 GB

Also try the FP8 file (13.1 GB) on NVIDIA GPUs. 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 →

02Every file, on 10 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
26.3 GB28.9 GB18.9 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · vantagewithai
13.7 GB16.3 GB6.3 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
13.1 GB15.7 GB5.7 GB too bigpractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
13.5 GB16.1 GB6.1 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · vantagewithai
10.6 GB13.2 GB3.2 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · vantagewithai
8.9 GB11.5 GBspills 1.5 GBclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · vantagewithai
7.5 GB10.1 GBspills 0.1 GBgood; some loss in fine detail and textHugging Face →
Q3_K_M ←
GGUF · vantagewithai
6.0 GB8.6 GBfits · 1.4 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · vantagewithai
4.9 GB7.5 GBfits · 2.5 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.

03What to download

PartFileFolderSize
Modelkrea2_turbo-Q3_K_M.gguf
Q3_K_M · vantagewithai/Krea-2-Turbo-GGUF
models/unet6.0 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 disk11.5 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 →