Z-Image-Turbo GGUF quantized files
The license of the quantized files follows the license of the original model:
- Z-Image-Turbo: apache-2.0
These files are converted using https://github.com/leejet/stable-diffusion.cpp
You can use these weights with stable-diffusion.cpp to generate images.
How to Use Z‐Image on a GPU with Only 4GB VRAM
Example command
.\bin\Release\sd.exe --diffusion-model z_image_turbo-Q3_K.gguf --vae ae.safetensors --llm 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 |
|---|---|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
- Downloads last month
- 5,744
Hardware compatibility
Log In
to view the estimation
2-bit
4-bit
5-bit
6-bit
8-bit
Model tree for leejet/Z-Image-Turbo-GGUF
Base model
Tongyi-MAI/Z-Image-Turbo






