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Z-Image Turbo ComfyUI Tutorial
Official ComfyUI Z-Image Turbo tutorial with 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
概要
Official ComfyUI Z-Image Turbo documentation with complete workflow templates, detailed model download instructions, and low-VRAM device optimization settings. Ideal for users needing local deployment and full control over the generation process.
機能
- Official workflow templates for quick setup
- Comprehensive model file download guide with step-by-step instructions
- Low-VRAM optimization configuration supporting 6GB+ GPUs
- 8-step inference parameter settings for speed optimization
- Excellent Chinese text rendering capabilities
- ControlNet integration support for advanced control
- Custom workflow creation and modification guide
- Common troubleshooting and optimization tips
画像
ComfyUI interface with Z-Image Turbo workflow loaded
インストール
Download ComfyUI from GitHub, install dependencies, and place model files in appropriate directories (text_encoders/, diffusion_models/, vae/)
使用方法
Import the official JSON workflow, customize prompts and parameters, then generate images using the Queue Prompt button
要件
- Python 3.8+
- CUDA-compatible NVIDIA GPU
- 6GB+ VRAM (8GB+ recommended)
- 15GB+ disk space for models
- ComfyUI installation