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--- |
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license: apache-2.0 |
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language: |
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- en |
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- zh |
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base_model: |
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- Tongyi-MAI/Z-Image-Turbo |
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pipeline_tag: text-to-image |
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tags: |
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- text-to-image |
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- image-generation |
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- diffusion |
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- comfyui |
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- photorealistic |
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- bilingual |
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- chinese |
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- english |
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- 8-step |
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- fast-generation |
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--- |
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# 🚀 Z-Image-Turbo-AIO | 8-Step Photorealistic Generation |
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<div align="center"> |
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**Ultra-Fast • Bilingual Text Rendering • All-in-One • FP8 & BF16** |
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[](https://opensource.org/licenses/Apache-2.0) |
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[](https://github.com/comfyanonymous/ComfyUI) |
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</div> |
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## ✨ What is Z-Image-Turbo-AIO? |
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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! |
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### Available Versions |
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| Version | Size | Best For | |
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|---------|------|----------| |
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| 🟡 **FP8-AIO** | ~10GB | For most users | |
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| 🌟 **BF16-AIO** | ~20GB | Maximum quality | |
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## 🎯 Key Features |
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- ⚡ **8-step generation** - 10-40 seconds per image, depends on your GPU |
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- 📦 **All-in-One** - No separate VAE/Text Encoder downloads needed |
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- 📸 **Photorealistic** - Professional quality output |
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- 📖 **Bilingual** - English & Chinese text rendering |
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- 🎯 **8GB VRAM** - Works on GPUs with 8GB VRAM |
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- 🌐 **Apache 2.0** - Open license for any use |
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## 🔄 Which Version Should I Choose? |
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### 🟡 FP8-AIO (Recommended for most users) |
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- ✅ Half the file size |
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- ✅ Faster download |
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- ✅ Excellent quality |
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- ✅ Perfect for 8GB VRAM |
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- ✅ Great for testing & everyday use |
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### 🌟 BF16-AIO (Maximum precision) |
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- ✅ BFloat16 full precision |
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- ✅ Lossless quality |
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- ✅ Great for testing & everyday use |
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- ✅ Still works on 8GB VRAM |
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## 📥 Quick Start (ComfyUI) |
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### Installation |
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1. Download your preferred version (FP8 or BF16) |
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2. Place in `ComfyUI/models/checkpoints` |
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3. Load with "Load Checkpoint" node |
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4. Generate! |
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### Recommended Settings |
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| Parameter | Value | |
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|-----------|-------| |
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| Steps | 8 | |
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| CFG | 1.0 | |
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| Sampler | res_multistep | |
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| Scheduler | simple | |
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| Resolution | 1920×1088 | |
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**That's it! No separate VAE or Text Encoder needed!** |
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## 📊 Performance |
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All tests on **RTX 4060 (8GB VRAM)** • FP8 • 1920×1088 • 8 steps |
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| Test | Generation Time | |
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|------|-----------------| |
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| Urban Interior | ~32s | |
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| Architecture | ~32-34s | |
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| Food Photography | ~32s | |
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| Bilingual Signage | ~32s | |
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## 💡 Prompting Guide |
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### ✅ Natural Language Works Best! |
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**Good Example:** |
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``` |
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A cozy bookstore with floor-to-ceiling wooden shelves filled with |
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colorful books, comfortable reading nooks with cushions near large |
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windows, warm pendant lighting, peaceful afternoon atmosphere, |
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professional interior photography |
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``` |
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**Bad Example:** |
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``` |
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bookstore, books, chairs, window, cozy, warm light, interior |
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``` |
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### 📖 Bilingual Text Rendering |
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**English Text:** |
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``` |
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Neon sign reading "OPEN 24/7" in bright blue letters above entrance. |
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Modern sans-serif font, glowing effect against brick wall. |
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``` |
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**Chinese Text:** |
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``` |
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Traditional tea house entrance with sign reading "古韵茶坊" in elegant |
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gold Chinese calligraphy on red wooden board with ornate carved border. |
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``` |
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**Both Languages:** |
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``` |
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Modern cafe exterior with bilingual sign. "Morning Brew Coffee" in |
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white elegant script above, "晨曦咖啡" in matching Chinese characters |
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below. Both glowing warmly at dusk. |
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``` |
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### 📝 Prompting Tips |
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| Do ✅ | Don't ❌ | |
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|------|---------| |
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| Use natural language descriptions | Use tag-style prompts (tag1, tag2) | |
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| Be detailed (100-300 words optimal) | Write very short prompts (<50 words) | |
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| Include lighting and mood | Add negative prompts (not used) | |
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| Describe camera angle and style | Include conflicting instructions | |
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| Specify materials and colors | | |
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## 🙏 Credits & Acknowledgments |
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### Original Model |
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- **Developer:** Tongyi Lab (Alibaba Group) |
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- **Architecture:** Single-Stream Diffusion Transformer (6B parameters) |
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- **Algorithm:** Decoupled-DMD + DMDR |
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- **License:** Apache 2.0 |
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### AIO Conversion |
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- **Created by:** [SeeSee21](https://huggingface.co/SeeSee21) |
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- **Format:** Integrated VAE + Text Encoder |
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- **Purpose:** Simplified single-file deployment |
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### Resources |
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- 🤗 [Original HuggingFace](https://huggingface.co/Tongyi-MAI/Z-Image-Turbo) |
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- 💻 [GitHub Repository](https://github.com/Tongyi-MAI/Z-Image) |
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- 🎨 [ComfyUI Files](https://huggingface.co/Comfy-Org/z_image_turbo) |
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- 🖼️ [CivitAI Page](https://civit.ai/models/2173571) |
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## 📈 Version History |
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### v1.0 - Initial AIO Release |
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- FP8-AIO version (10GB) |
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- BF16-AIO version (20GB) |
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- Integrated VAE + Text Encoder |
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- Single-file deployment |
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- Based on Tongyi-MAI/Z-Image-Turbo |
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- Tested on RTX 4060 8GB |
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- Optimized for 1920×1088 |
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--- |
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<div align="center"> |
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**Download, load with "Load Checkpoint", and generate professional photos in seconds! 🚀** |
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</div> |
