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Z Image Turbo

Description

This example is using the smallest GGUFs that still have the best quality. You can use the larger GGUFs instead if your system allows.

📂 ComfyUI/
├── 📂 models/
│   ├── 📂 text_encoders/
│   │   └── Qwen3-4B-Q5_K_M.gguf
│   ├── 📂 unet/
│   │   └── z_image_turbo-Q3_K_M.gguf
│   └── 📂 vae/
│       └── ae.safetensors

Sample Workflow

z-image-turbo-workflow

WGET Commands

If you are using Runpod, or a similar hosted GPU service, then you can access your running pod/instance using a terminal.

#
#
# CD into ./ComfyUI/models/text_encoders/ folder
wget https://huggingface.co/Qwen/Qwen3-4B-GGUF/resolve/main/Qwen3-4B-Q5_K_M.gguf

#
#
# CD into ./ComfyUI/models/unet/ folder
wget https://huggingface.co/jayn7/Z-Image-Turbo-GGUF/resolve/main/z_image_turbo-Q3_K_M.gguf

#
#
# CD into ./ComfyUI/models/vae/ folder
wget https://huggingface.co/Comfy-Org/z_image_turbo/resolve/main/split_files/vae/ae.safetensors

Wait for files to download fully before running your workflows.

Z-Image-Turbo-Fun-Controlnet-Union-2.0