Datasheet for local AI49 models98 GPUsData read 2026-09-25
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Krea 2 (Turbo) on 20 GB of VRAM

Image model · 12.8BAny 20 GB GPUData 2026-09-25
Runs well
Yes — and comfortably.

Download Q8_0 (13.7 GB). With the model's working memory it needs about 16.3 GB, leaving 3.7 GB spare on 20 GB. Quality: practically identical to the original.

Best fileQ8_0
File size13.7 GB
VRAM needed~16.3 GB
System RAM32 GB+
Memory map · 20 GB GPU16.3 GB / 20 GB
010 GB20 GB
Weights Q8_0 · 13.7 GBWorking memory · 1.8 GBReserve · 0.8 GBFree · 3.7 GB
calculated from real file sizes plus working memory. Not yet measured on this setup. How this works.

On RTX 40 and RTX 50 GPUs take the FP8 file instead of Q8_0: same class, faster there. On older NVIDIA, AMD and Intel GPUs Q8_0 is the better 8-bit file.

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). The 16-bit text encoder is a little more faithful; the smaller one is chosen here because it loads faster and needs less RAM. Sizes read from Hugging Face (2026-09-25). “Download” links start the file directly; the file name links are the same files the official ComfyUI workflows use.

System RAM: 32 GB or more. ComfyUI keeps the model file, the text encoder and the VAE in system RAM and moves them to the GPU as needed. With this set of files that is about 19.2 GB, plus roughly 6 GB for Windows, ComfyUI and a browser: 25.2 GB in total. With less RAM it still runs, but Windows starts swapping to disk and loading gets very slow. calculated

02Every file, on 20 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
26.3 GB28.9 GB8.9 GB too bigthe original weightsHugging Face →
Q8_0 ←
GGUF · vantagewithai
13.7 GB16.3 GBfits · 3.7 GB sparepractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
13.1 GB15.7 GBfits · 4.3 GB sparepractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
13.5 GB16.1 GBfits · 3.9 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · vantagewithai
10.6 GB13.2 GBfits · 6.8 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · vantagewithai
8.9 GB11.5 GBfits · 8.5 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · vantagewithai
7.5 GB10.1 GBfits · 9.9 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · vantagewithai
6.0 GB8.6 GBfits · 11.4 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · vantagewithai
4.9 GB7.5 GBfits · 12.5 GB spareheavy loss; a last resortHugging Face →

Sizes from the Hugging Face file listing, read 2026-09-25. “Needed” = file + 1.8 GB working memory for this model + 0.8 GB kept free for the system.

03The text encoder

Qwen3-VL 4B: 8.9 GB as 16-bit, 5.2 GB as FP8. ComfyUI encodes the prompt first and can push the encoder out of VRAM before sampling, so it does not have to fit together with the model. On 20 GB the FP8 encoder fits on its own, so prompt encoding stays fast.