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Qwen-Image on 16 GB of VRAM

Not at full quality. The 16-bit and 8-bit files are too big for 16 GB; the largest that fits is Q4_K_M (13.1 GB). 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 16 GB GPUData 2026-10-01
Runs
Yes, with a compressed file.

Q4_K_M (13.1 GB) fits with only 0.1 GB to spare (about 15.9 GB of 16 GB). Quality: good; some loss in fine detail and text. For better quality, Q5_K_M (14.9 GB) also runs, with about 1.7 GB spilling into system RAM - a little slower, still practical.

Best fileQ4_K_M
File size13.1 GB
VRAM needed~15.9 GB
System RAM32 GB+
Memory map · 16 GB GPU15.9 GB / 16 GB
08 GB16 GB
Weights Q4_K_M · 13.1 GBWorking memory · 2.0 GBReserve · 0.8 GBFree · 0.1 GB

Also try the FP8 file (20.4 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 →

01What to download

PartFileFolderSize
Modelqwen-image-Q4_K_M.gguf
Q4_K_M · city96/Qwen-Image-gguf
models/unet13.1 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 disk22.7 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 →

02Every file, on 16 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
40.9 GB43.7 GB27.7 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · city96
21.8 GB24.6 GB8.6 GB too bigpractically identical to the originalHugging Face →
FP8
SAFETENSORS · Comfy-Org
20.4 GB23.2 GB7.2 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · city96
16.8 GB19.6 GB3.6 GB too bigvery close to the originalHugging Face →
Q5_K_M
GGUF · city96
14.9 GB17.7 GBspills 1.7 GBclose; small differences in fine detailHugging Face →
Q4_K_M ←
GGUF · city96
13.1 GB15.9 GBfits · 0.1 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · city96
9.7 GB12.5 GBfits · 3.5 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · city96
7.1 GB9.9 GBfits · 6.1 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.