Amazing Z-Image Workflow
세부 정보
파일 다운로드
이 버전에 대해
모델 설명
A Z-Image-Turbo workflow, which I developed while experimenting with the model, it extends ComfyUI's base workflow functionality with additional features. It includes three versions that utilize different checkpoints to support various GPU VRAM capacities.
Features
Eight configurable image styles for testing and experimentation.
Versions in both .safetensors and .gguf formats to support a range of GPUs.
Custom sigma values adjusted to my preference
(subjectively better prompt adherence).Generated images are stored within the "ZImage" folder, organized by date.
Includes a trick to enable CivitAI automatic prompt detection.
Workflow Overview
The zip file contains three workflow files, each optimized for different GPU VRAM capacities:
amazing_zimage-GGUF.json : Recommended for GPUs with 12GB or less VRAM.
amazing_zimage-GGUFSMALL.json : For GPUs with less than 8GB VRAM.
amazing_zimage-SAFETENSORS.json: Based directly on the ComfyUI example.
1. amazing_zimage-GGUF.json
Works smoothly with 12GB of VRAM or less, it may handle around 8GB as well.
z_image_turbo-Q5_K_M.gguf (5.52 GB)
local directory:ComfyUI/models/diffusion_models/Qwen3-4B.i1-Q5_K_M.gguf (2.89 GB)
local directory:ComfyUI/models/text_encoders/ae.safetensors (335 MB)
local directory:ComfyUI/models/vae/
2. amazing_zimage-GGUFSMALL.json
Optimized for GPUs with limited VRAM (less than 8GB),
though prompt accuracy might be affected.
z_image_turbo-Q3_K_M.gguf (4.12 GB)
local directory:ComfyUI/models/diffusion_models/Qwen3-4B.i1-Q2_K.gguf (1.67 GB)
local directory:ComfyUI/models/text_encoders/ae.safetensors (335 MB)
local directory:ComfyUI/models/vae/
3. amazing_zimage-SAFETENSORS.json
Based directly on the official ComfyUI example,
suitable for GPUs with around 12GB of VRAM or more.
z_image_turbo_bf16.safetensors (12.3 GB)
local directory:ComfyUI/models/diffusion_models/qwen_3_4b.safetensors (8.04 GB)
local directory:ComfyUI/models/text_encoders/ae.safetensors (335 MB)
local directory:ComfyUI/models/vae/
Required Custom Nodes
The workflows require the following custom nodes:
(which can be installed via ComfyUI-Manager or downloaded from their repositories)
rgthree : https://github.com/rgthree/rgthree-comfy
ComfyUI-GGUF: https://github.com/city96/ComfyUI-GGUF
License
This project is licensed under the Unlicense license.
More info: https://github.com/martin-rizzo/AmazingZImageWorkflow














