# How to Use
You can run Z-Image with stable-diffusion.cpp on GPUs with 4GB of VRAM — or even less.
## Download weights
- Download Z-Image-Turbo
- safetensors: https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/diffusion_models
- gguf: https://huggingface.co/leejet/Z-Image-Turbo-GGUF/tree/main
- Download vae
- safetensors: https://huggingface.co/black-forest-labs/FLUX.1-schnell/tree/main
- Download Qwen3 4b
- safetensors: https://huggingface.co/Comfy-Org/z_image_turbo/tree/main/split_files/text_encoders
- gguf: https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF/tree/main
## Examples
```
.\bin\Release\sd.exe --diffusion-model z_image_turbo-Q3_K.gguf --vae ..\..\ComfyUI\models\vae\ae.sft --llm ..\..\ComfyUI\models\text_encoders\Qwen3-4B-Instruct-2507-Q4_K_M.gguf -p "A cinematic, melancholic photograph of a solitary hooded figure walking through a sprawling, rain-slicked metropolis at night. The city lights are a chaotic blur of neon orange and cool blue, reflecting on the wet asphalt. The scene evokes a sense of being a single component in a vast machine. Superimposed over the image in a sleek, modern, slightly glitched font is the philosophical quote: 'THE CITY IS A CIRCUIT BOARD, AND I AM A BROKEN TRANSISTOR.' -- moody, atmospheric, profound, dark academic" --cfg-scale 1.0 -v --offload-to-cpu --diffusion-fa -H 1024 -W 512
```
## Comparison of Different Quantization Types
| bf16 | q8_0 | q6_K | q5_0 | q4_K | q4_0 | q3_K | q2_K|
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