Check my GPU →

Z-Image (base) on 6 GB of VRAM

Not entirely. Even Q5_K_M is 1.6 GB over 6 GB, so ComfyUI keeps part of it in system RAM. The undistilled base of Z-Image Turbo: same 6B size, but 28–50 steps with CFG. Better for LoRA training and negative prompts.

Image model · 6.15BAny 6 GB GPUData 2026-10-01
Offload
Not entirely in VRAM, but it can still run.

Nothing fits entirely, but Q5_K_M (5.6 GB) overflows by only about 1.6 GB. ComfyUI keeps that part in system RAM automatically: slower than a full fit, but usable.

Best fileQ5_K_M
File size5.6 GB
VRAM needed~7.6 GB
System RAM32 GB+
Memory map · 6 GB GPU7.6 GB needed · 1.6 GB over 6 GB
04 GB8 GB
Weights Q5_K_M · 5.6 GBWorking memory · 1.2 GBReserve · 0.8 GBSpills to system RAM · 1.6 GB

Also try the INT8 file (6.2 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 →

02Every file, on 6 GB

FileSizeNeededOn this cardQualityDownload
16-bit
SAFETENSORS · Comfy-Org
12.3 GB14.3 GB8.3 GB too bigthe original weightsHugging Face →
Q8_0
GGUF · unsloth
7.2 GB9.2 GB3.2 GB too bigpractically identical to the originalHugging Face →
INT8
SAFETENSORS · Comfy-Org
6.2 GB8.2 GB2.2 GB too bigpractically identical to the originalHugging Face →
Q6_K
GGUF · unsloth
6.1 GB8.1 GB2.1 GB too bigvery close to the originalHugging Face →
Q5_K_M ←
GGUF · unsloth
5.6 GB7.6 GBspills 1.6 GBclose; small differences in fine detailHugging Face →
Q4_K_M
GGUF · unsloth
5.1 GB7.1 GBspills 1.1 GBgood; some loss in fine detail and textHugging Face →
Q3_K_M
GGUF · unsloth
4.6 GB6.6 GBspills 0.6 GBnoticeable loss of detailHugging Face →
Q2_K
GGUF · unsloth
4.0 GB6.0 GBspills 0.0 GBheavy loss; a last resortHugging Face →

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

03What to download

PartFileFolderSize
Modelz-image-Q5_K_M.gguf
Q5_K_M · unsloth/Z-Image-GGUF
models/unet5.6 GBDownload →
Text encoderqwen_3_4b_fp8_mixed.safetensors
Qwen3 4B FP8 · Comfy-Org/z_image
models/text_encoders5.6 GBDownload →
VAEae.safetensors
FLUX.1 VAE (ae) · Comfy-Org/z_image
models/vae0.3 GBDownload →
Total download · keep about the same free on disk11.5 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 →

04The text encoder

At 5.6 GB even the smallest Qwen3 4B file is too big for 6 GB, so it runs from system RAM. That slows down reading the prompt, not the picture. Sizes: 16-bit 8.0 GB, FP8 5.6 GB. Why the encoder does not count against VRAM →