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Z-Image Turbo on 20 GB of VRAM

Yes. 16-bit fits on 20 GB with 5.7 GB to spare. A 6B, 8-step model from Alibaba's Tongyi lab and one of the most downloaded ComfyUI models of the past year. Fast and light.

Image model · 6BAny 20 GB GPUData 2026-10-01
Runs well
Yes.

Take 16-bit (12.3 GB). In use it comes to about 14.3 GB, with 5.7 GB left over on 20 GB.

Best file16-bit
File size12.3 GB
VRAM needed~14.3 GB
System RAM32 GB+
Memory map · 20 GB GPU14.3 GB / 20 GB
010 GB20 GB
Weights 16-bit · 12.3 GBWorking memory · 1.2 GBReserve · 0.8 GBFree · 5.7 GB

01What to download

PartFileFolderSize
Modelz_image_turbo_bf16.safetensors
16-bit · Comfy-Org/z_image_turbo
models/diffusion_models12.3 GBDownload →
Text encoderqwen_3_4b_fp8_mixed.safetensors
Qwen3 4B FP8 · Comfy-Org/z_image_turbo
models/text_encoders5.6 GBDownload →
VAEae.safetensors
FLUX.1 VAE (ae) · Comfy-Org/z_image_turbo
models/vae0.3 GBDownload →
Total download · keep about the same free on disk18.3 GB

Alternatives: Qwen3 4B BF16 (8.0 GB). Sizes from Hugging Face, 2026-10-01.

Free ComfyUI workflow, tested on my RTX 5060 Ti: 16-bit workflow (.json). Drag the file into ComfyUI. All workflows →

02Every file, on 20 GB

FileSizeNeededOn this cardQualityDownload
16-bit ←
SAFETENSORS · Comfy-Org
12.3 GB14.3 GBfits · 5.7 GB sparethe original weightsHugging Face →
Q8_0
GGUF · unsloth
7.2 GB9.2 GBfits · 10.8 GB sparepractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
6.2 GB8.2 GBfits · 11.8 GB sparepractically identical to the originalHugging Face →
Q6_K
GGUF · unsloth
5.9 GB7.9 GBfits · 12.1 GB sparevery close to the originalHugging Face →
Q5_K_M
GGUF · unsloth
5.6 GB7.6 GBfits · 12.4 GB spareclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · unsloth
5.0 GB7.0 GBfits · 13.0 GB sparegood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · unsloth
4.2 GB6.2 GBfits · 13.8 GB sparenoticeable loss of detailHugging Face →
Q2_K
GGUF · unsloth
3.6 GB5.6 GBfits · 14.4 GB spareheavy loss; a last resortHugging Face →

“Needed” adds 1.2 GB of working memory for Z-Image Turbo and a 0.8 GB reserve. Sizes 2026-10-01.