---
license: apache-2.0
language:
- en
- zh
base_model:
- Tongyi-MAI/Z-Image-Turbo
pipeline_tag: text-to-image
tags:
- text-to-image
- image-generation
- diffusion
- comfyui
- photorealistic
- bilingual
- chinese
- english
- 8-step
- fast-generation
---

# 🚀 Z-Image-Turbo-AIO | 8-Step Photorealistic Generation

<div align="center">

**Ultra-Fast • Bilingual Text Rendering • All-in-One • FP8 & BF16**

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![ComfyUI](https://img.shields.io/badge/ComfyUI-Compatible-green.svg)](https://github.com/comfyanonymous/ComfyUI)

</div>

## ✨ What is Z-Image-Turbo-AIO?

Z-Image-Turbo-AIO is an **All-in-One repackage** of Alibaba Tongyi Lab's 6B parameter photorealistic image generator, optimized for lightning-fast 8-step generation. This version includes **integrated VAE and Text Encoder** for maximum convenience - just download and generate!

### Available Versions

| Version | Size | Best For |
|---------|------|----------|
| 🟡 **FP8-AIO** | ~10GB | For most users |
| 🌟 **BF16-AIO** | ~20GB | Maximum quality |

## 🎯 Key Features

- ⚡ **8-step generation** - 10-40 seconds per image, depends on your GPU
- 📦 **All-in-One** - No separate VAE/Text Encoder downloads needed
- 📸 **Photorealistic** - Professional quality output
- 📖 **Bilingual** - English & Chinese text rendering
- 🎯 **8GB VRAM** - Works on GPUs with 8GB VRAM
- 🌐 **Apache 2.0** - Open license for any use

## 🔄 Which Version Should I Choose?

### 🟡 FP8-AIO (Recommended for most users)
- ✅ Half the file size
- ✅ Faster download
- ✅ Excellent quality
- ✅ Perfect for 8GB VRAM
- ✅ Great for testing & everyday use

### 🌟 BF16-AIO (Maximum precision)
- ✅ BFloat16 full precision
- ✅ Lossless quality
- ✅ Great for testing & everyday use
- ✅ Still works on 8GB VRAM

## 📥 Quick Start (ComfyUI)

### Installation

1. Download your preferred version (FP8 or BF16)
2. Place in `ComfyUI/models/checkpoints`
3. Load with "Load Checkpoint" node
4. Generate!

### Recommended Settings

| Parameter | Value |
|-----------|-------|
| Steps | 8 |
| CFG | 1.0 |
| Sampler | res_multistep |
| Scheduler | simple |
| Resolution | 1920×1088 |

**That's it! No separate VAE or Text Encoder needed!**

## 📊 Performance

All tests on **RTX 4060 (8GB VRAM)** • FP8 • 1920×1088 • 8 steps

| Test | Generation Time |
|------|-----------------|
| Urban Interior | ~32s |
| Architecture | ~32-34s |
| Food Photography | ~32s |
| Bilingual Signage | ~32s |

## 💡 Prompting Guide

### ✅ Natural Language Works Best!

**Good Example:**
```
A cozy bookstore with floor-to-ceiling wooden shelves filled with 
colorful books, comfortable reading nooks with cushions near large 
windows, warm pendant lighting, peaceful afternoon atmosphere, 
professional interior photography
```

**Bad Example:**
```
bookstore, books, chairs, window, cozy, warm light, interior
```

### 📖 Bilingual Text Rendering

**English Text:**
```
Neon sign reading "OPEN 24/7" in bright blue letters above entrance. 
Modern sans-serif font, glowing effect against brick wall.
```

**Chinese Text:**
```
Traditional tea house entrance with sign reading "古韵茶坊" in elegant 
gold Chinese calligraphy on red wooden board with ornate carved border.
```

**Both Languages:**
```
Modern cafe exterior with bilingual sign. "Morning Brew Coffee" in 
white elegant script above, "晨曦咖啡" in matching Chinese characters 
below. Both glowing warmly at dusk.
```

### 📝 Prompting Tips

| Do ✅ | Don't ❌ |
|------|---------|
| Use natural language descriptions | Use tag-style prompts (tag1, tag2) |
| Be detailed (100-300 words optimal) | Write very short prompts (<50 words) |
| Include lighting and mood | Add negative prompts (not used) |
| Describe camera angle and style | Include conflicting instructions |
| Specify materials and colors | |

## 🙏 Credits & Acknowledgments

### Original Model
- **Developer:** Tongyi Lab (Alibaba Group)
- **Architecture:** Single-Stream Diffusion Transformer (6B parameters)
- **Algorithm:** Decoupled-DMD + DMDR
- **License:** Apache 2.0

### AIO Conversion
- **Created by:** [SeeSee21](https://huggingface.co/SeeSee21)
- **Format:** Integrated VAE + Text Encoder
- **Purpose:** Simplified single-file deployment

### Resources
- 🤗 [Original HuggingFace](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo)
- 💻 [GitHub Repository](https://github.com/Tongyi-MAI/Z-Image)
- 🎨 [ComfyUI Files](https://huggingface.co/Comfy-Org/z_image_turbo)
- 🖼️ [CivitAI Page](https://civit.ai/models/2173571)

## 📈 Version History

### v1.0 - Initial AIO Release
- FP8-AIO version (10GB)
- BF16-AIO version (20GB)
- Integrated VAE + Text Encoder
- Single-file deployment
- Based on Tongyi-MAI/Z-Image-Turbo
- Tested on RTX 4060 8GB
- Optimized for 1920×1088

---

<div align="center">

**Download, load with "Load Checkpoint", and generate professional photos in seconds! 🚀**

</div>