✨ Z-IMG — Text to Image — Simple Workflow

A clean, all-in-one Z-IMG text-to-image workflow built entirely with the UmeAiRT Toolkit for ComfyUI.
Only 8 nodes. No spaghetti wires. Just load your model, write your prompt, and hit generate.

⚠️ IMPORTANT — Nodes 2.0 Required

This workflow is built for the Nodes 2.0 (Vue) interface of ComfyUI. If you don't enable it, the workflow may have display problems.

How to activate Nodes 2.0:

1. Open ComfyUI

2. Go to Settings (⚙️ icon, bottom-left)

3. Find "Use Nodes V2 (Vue)" and toggle it ON

4. Refresh the page

5. Load the workflow

If you prefer the classic interface, check out my Legacy version of this workflow instead (link).

🎯 Features

• Text-to-Image generation

• Automatic download of models in auto version

• Lighning LoRA included

• Detail Refiner sampler

• Built-in SeedVR2 upscaler — high-quality tiled upscaling (toggleable on/off) Slower than a classic upscaler, but significantly better quality

• Full metadata embedding — your images are saved with all generation parameters, ready for online publishing and remixing

• 3 LoRA slots — with individual on/off toggles and strength control and you can connect as many other lora modules to each other for as many LoRA as you want.

📦 Custom Node Required

Only one custom node to install:

👉 ComfyUI-UmeAiRT-Toolkit

Install via ComfyUI Manager (search "UmeAiRT") or use the UmeAiRT Auto-Installer.
The Toolkit packages everything internally — upscaler, face detailer, metadata saver. No other custom nodes needed.

📂 Files you need (in manual version)

📂for "base" version :

Model : z_image_turbo_bf16.safetensors
in ComfyUI\models\diffusion_models

CLIP : qwen_3_4b.safetensors
in ComfyUI\models\clip

📂for GGUF version :

Model : Q8, Q6, Q5, Q4, Q3
in ComfyUI\models\unet

CLIP : Q6
in ComfyUI\models\clip

📂Common

VAE : ae.safetensors
in ComfyUI\models\vae