Z-ImageEfficient Image Generation
Single-Stream Diffusion Transformer
Efficient Image Generation Model with 6B Parameters
🚀 Open source and publicly available
Z-Image Team, Tongyi MAI, Alibaba Group
Try Z-Image Turbo Online
Experience the power of Z-Image-Turbo with our interactive demo
Available on Leading AI Platforms
What is Z-Image?
Z-Image is an efficient 6-billion-parameter foundation model for image generation. Through systematic optimization, it proves that top-tier performance is achievable without relying on enormous model sizes, delivering strong results in photorealistic generation and bilingual text rendering.
Photorealistic Quality
Photography-level realism with fine control over details, lighting, and textures. Achieves excellent aesthetic quality in composition and overall mood.
Ultra-fast Inference
Achieves sub-second inference latency on enterprise-grade H800 GPUs. Only 8 steps needed for generation.
Bilingual Text Rendering
Accurate rendering of both Chinese and English text while preserving facial realism and overall aesthetic composition.
Efficient VRAM Usage
Can run smoothly on consumer-grade graphics cards with less than 16GB of VRAM, making advanced image generation accessible.
Core Features
A glance at the powerful capabilities of the Z-Image model.
Model Variants
Z-Image offers specialized models for different use cases:
🚀 Z-Image-Turbo
A distilled version of Z-Image with strong capabilities in photorealistic image generation, accurate rendering of both Chinese and English text, and robust adherence to bilingual instructions. It achieves performance comparable to or exceeding leading competitors with only 8 steps.
✍️ Z-Image-Edit
A continued-training variant of Z-Image specialized for image editing. It excels at following complex instructions to perform a wide range of tasks, from precise local modifications to global style transformations, while maintaining high edit consistency.
Capabilities Showcase
Discover the advanced capabilities of Z-Image across various domains.
Photorealistic Generation
Delivers strong photorealistic image generation while maintaining excellent aesthetic quality.
Bilingual Text Rendering
Accurately renders complex Chinese and English text in various scenarios.
World Knowledge
Possesses vast understanding of world knowledge and diverse cultural concepts.
Semantic Understanding
Uses structured reasoning chain to inject logic and common sense.
Creative Editing
Precisely executes complex instructions for image transformations.
Instruction Following
Demonstrates fine-grained control over image elements and transformations.
Model Performance
Competitive results on AI Arena with state-of-the-art performance among open-source models.
6B Parameters
Parameters
8 Inference Steps
Inference Steps
16GB VRAM Required
VRAM Required
<1s Inference Latency
Inference Latency
Human Preference Evaluation
According to the Elo-based Human Preference Evaluation (on AI Arena), Z-Image shows highly competitive performance against other leading models.
Z-Image shows highly competitive performance against other leading models, while achieving state-of-the-art results among open-source models.
AI Arena, Elo Rating System
AI Arena
Elo Rating System
The model code, weights, and online demo are now publicly available to encourage community exploration and use.
Community, Open Source
Community
Open Source
We aim to promote the development of generative models that are accessible, low-cost, and high-performance.
Researchers, Academic
Researchers
Academic
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Frequently Asked Questions
Common questions about Z-Image and its capabilities.
For more information, visit our GitHub repository
Start Using Z-Image Today
Experience the power of efficient image generation with Z-Image.