Z-Image AI Generator

Z-Image is a cutting-edge AI image generation platform powered by a 6 billion parameter model. It combines advanced diffusion transformer architecture with ultra-fast generation speeds, bilingual text support, and instruction-based editing capabilities.

Z-Image Turbo generates high-quality images in just 8 steps, making it up to 8x faster than traditional diffusion models while maintaining exceptional quality. Most images are generated in under 10 seconds.

Yes! Z-Image is open source and free to use for both personal and commercial projects. Check our license page for specific terms and attribution requirements.

Z-Image has native bilingual support for both English and Chinese text rendering. The model accurately generates typography in both languages with proper character formation and styling.

Instruction editing allows you to modify existing images using natural language commands. Simply upload an image and describe the changes you want (e.g., 'add sunglasses', 'change background to sunset'), and Z-Image will apply the edits intelligently.

Z-Image supports multiple aspect ratios including square (1:1), portrait (9:16), landscape (16:9), and custom dimensions. The maximum resolution is 2048x2048 pixels for square images.

Yes, we provide a RESTful API and Python SDK for developers. The API supports all core features including text-to-image generation, instruction editing, and batch processing. Check our documentation for integration guides.

New users receive 100 free generation credits upon signup. Each standard generation uses 1 credit, while turbo mode uses 0.5 credits. Additional credits can be purchased or earned through our referral program.

Yes, as an open source model, Z-Image can be fine-tuned on custom datasets. We provide training scripts and documentation to help you adapt the model to your specific use case or artistic style.

The Single-Stream Diffusion Transformer (DiT) processes all information through a unified pipeline, resulting in more coherent and semantically consistent images compared to multi-stream approaches. This architecture is both faster and produces higher quality results.

We have content moderation systems in place, but if you encounter inappropriate outputs, please use the 'Report' button on the image or contact our support team at [email protected] with the image ID.

Yes, since Z-Image is open source, you can download and run the model locally on your own hardware. We provide Docker containers and installation guides for local deployment. Note that you'll need a GPU with at least 12GB VRAM for optimal performance.

Standard mode uses 50 diffusion steps for maximum quality and detail, ideal for final production work. Turbo mode uses only 8 optimized steps for lightning-fast generation, perfect for rapid iteration and previewing concepts.

Z-Image uses a sophisticated natural language understanding system. You can describe images in plain English or Chinese, include style modifiers, specify composition details, and even reference art movements. The model interprets complex prompts with high accuracy.

Yes, Z-Image prohibits generation of harmful, illegal, or explicit content. Our terms of service outline specific restrictions. The model has built-in safety filters, and violations may result in account suspension.