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Krea 2 (Turbo) on 32 GB of VRAM

Yes. 16-bit fits on 32 GB with 3.1 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 32 GB GPUData 2026-10-01
Runs well
Yes.

Take 16-bit (26.3 GB). In use it comes to about 28.9 GB, with 3.1 GB left over on 32 GB.

Best file16-bit
File size26.3 GB
VRAM needed~28.9 GB
System RAM48 GB+
Memory map · 32 GB GPU28.9 GB / 32 GB
016 GB32 GB
Weights 16-bit · 26.3 GBWorking memory · 1.8 GBReserve · 0.8 GBFree · 3.1 GB

01What to download

PartFileFolderSize
Modelkrea2_turbo_bf16.safetensors
16-bit · Comfy-Org/Krea-2
models/diffusion_models26.3 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 disk31.8 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 →

System RAM: 48 GB or more. These files take about 31.8 GB of RAM while loaded, 37.8 GB with Windows and ComfyUI. What happens with less. calculated

02Every file, on 32 GB

FileSizeNeededOn this cardQualityDownload
16-bit ←
SAFETENSORS · Comfy-Org
26.3 GB28.9 GBfits · 3.1 GB sparethe original weightsHugging Face →
Q8_0
GGUF · vantagewithai
13.7 GB16.3 GBfits · 15.7 GB sparepractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
13.1 GB15.7 GBfits · 16.3 GB sparepractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
13.5 GB16.1 GBfits · 15.9 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · vantagewithai
10.6 GB13.2 GBfits · 18.8 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · vantagewithai
8.9 GB11.5 GBfits · 20.5 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · vantagewithai
7.5 GB10.1 GBfits · 21.9 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · vantagewithai
6.0 GB8.6 GBfits · 23.4 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · vantagewithai
4.9 GB7.5 GBfits · 24.5 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.