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Qwen-Image on 32 GB of VRAM

Yes. Q8_0 fits on 32 GB with 7.4 GB to spare. Alibaba's 20B text-to-image model, known for rendering long text and posters well. Big: the 8-bit file alone is over 20 GB.

Image model · 20BAny 32 GB GPUData 2026-10-01
Runs well
Yes, with room to spare.

Q8_0 (21.8 GB) needs about 24.6 GB in use, so 7.4 GB of the 32 GB stays free: room for a larger image, a LoRA or a ControlNet.

Best fileQ8_0
File size21.8 GB
VRAM needed~24.6 GB
System RAM48 GB+
Memory map · 32 GB GPU24.6 GB / 32 GB
016 GB32 GB
Weights Q8_0 · 21.8 GBWorking memory · 2.0 GBReserve · 0.8 GBFree · 7.4 GB

Got an RTX 40 or 50? Swap Q8_0 for FP8 (20.4 GB): same quality class, computed natively there.

01What to download

PartFileFolderSize
Modelqwen-image-Q8_0.gguf
Q8_0 · city96/Qwen-Image-gguf
models/unet21.8 GBDownload →
Text encoderqwen_2.5_vl_7b_fp8_scaled.safetensors
Qwen2.5-VL 7B FP8 · Comfy-Org/Qwen-Image_ComfyUI
models/text_encoders9.4 GBDownload →
VAEqwen_image_vae.safetensors
Qwen-Image VAE · Comfy-Org/Qwen-Image_ComfyUI
models/vae0.3 GBDownload →
Total download · keep about the same free on disk31.4 GB

Alternatives: Qwen2.5-VL 7B BF16 (16.6 GB). Sizes from Hugging Face, 2026-10-01.

Free ComfyUI workflow, tested on my RTX 5060 Ti: GGUF Q4_K_M workflow (.json). Drag the file into ComfyUI. All workflows →

System RAM: 48 GB or more. These files take about 31.4 GB of RAM while loaded, 37.4 GB with Windows and ComfyUI. What happens with less. calculated

02Every file, on 32 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
40.9 GB43.7 GB11.7 GB too bigthe original weightsHugging Face →
Q8_0 ←
GGUF · city96
21.8 GB24.6 GBfits · 7.4 GB sparepractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
20.4 GB23.2 GBfits · 8.8 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · city96
16.8 GB19.6 GBfits · 12.4 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · city96
14.9 GB17.7 GBfits · 14.3 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · city96
13.1 GB15.9 GBfits · 16.1 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · city96
9.7 GB12.5 GBfits · 19.5 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · city96
7.1 GB9.9 GBfits · 22.1 GB spareheavy loss; a last resortHugging Face →

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