Z-Image Turbo ComfyUI Tutorial

Official ComfyUI tutorial for Z-Image Turbo, providing complete workflow setup, model download guide, and parameter configuration for optimal performance

ComfyUI

Tutorial

Workflow

Local Deployment

Z-Image-Turbo

8-Step Generation

Chinese Text

Visit Resource

Overview

Official ComfyUI documentation for Z-Image Turbo, featuring complete workflow templates, detailed model download instructions, and optimization settings for low VRAM devices. Perfect for users who want local deployment with full control over the generation process.

Features

Official workflow templates for quick setup
Comprehensive model file download guide with step-by-step instructions
Low VRAM optimization configurations for 6GB+ graphics cards
8-step inference parameter settings for optimal speed
Excellent Chinese text rendering capabilities
ControlNet integration support for advanced control
Custom workflow creation and modification guides
Troubleshooting common issues and optimization tips

Images

ComfyUI interface with Z-Image Turbo workflow loaded

Installation

Download ComfyUI from GitHub, install dependencies, and place model files in appropriate directories (text_encoders/, diffusion_models/, vae/)

Usage

Import the official JSON workflow, customize prompt and parameters, then generate images with Queue Prompt button

Requirements

Python 3.8+
CUDA-compatible NVIDIA GPU
6GB+ VRAM (8GB+ recommended)
15GB+ disk space for models
ComfyUI installation