
Z-Image
Z-Image supports multiple AI image generation models, including Z-Image Turbo, Z-Image Lite, GPT Image 1.5, Flux 2 Klein, Wan 2.6, LTX-2, and Nano Banana Pro.
What is Z-Image?
Features
- Structured Image Control Enables users to guide image generation using structured inputs rather than relying solely on text prompts, improving predictability and consistency. Pose and Proportion Adjustment Supports precise adjustment of pose alignment, body proportions, and spatial relationships within generated images. Reference-Based Generation Allows users to upload reference images and preserve key visual elements while applying controlled modifications. Image-to-Image Workflow Facilitates iterative visual refinement by generating variations based on existing images instead of starting from scratch. Web-Based Accessibility Operates through a browser-based interface without requiring local model deployment or specialized hardware.
Use Cases
- Product Visualization Generating consistent product images from different angles or compositions for catalogs and presentations. Character and Asset Design Supporting the creation of repeatable character visuals for games, education, or digital content production. Creative and Design Prototyping Assisting designers in rapidly testing visual ideas while maintaining control over layout and proportions. Educational and Training Materials Producing controlled illustrations and diagrams where visual accuracy and consistency are required. Software and Application Development Integrating controlled image generation into applications, workflows, or internal tools that require predictable visual outputs.




