AI Image Generation

What is the main use case for Nano Banana Pro API?
The Nano Banana Pro API generates high-resolution 2K/4K images with improved text rendering and consistent characters, ideal for product visuals, marketing assets, and application-integrated image generation.
Who is the target audience of kie.ai?
Developers, AI tool builders, creative studios, SaaS platforms, and product teams who need scalable, high-quality image generation powered by Google’s Gemini 3 Pro image stack.
Can a user use Nano Banana Pro API for free?
Yes. New users receive free credits to test the model in the playground or through the API before paying.
How does the Nano Banana Pro API improve image generation quality?
The Nano Banana Pro API, built on Google DeepMind's Gemini 3.0 Pro Image, offers a significant leap in visual quality. It provides enhanced structural accuracy, consistent character rendering, sharper text, and detailed material representation, allowing for high-fidelity 2K and 4K image generation. This improvement is ideal for creative workflows and API-driven applications that demand high-quality visuals.
What aspect ratios and resolutions does the Nano Banana Pro API support?
The Nano Banana Pro API supports various aspect ratios including 1:1, 2:3, 3:2, 4:3, 4:5, 5:4, 9:16, 16:9, and 21:9, giving developers flexibility to create platform-specific outputs. In terms of resolution, it can generate images in 1K, 2K, and 4K, allowing for detailed and clear visuals suitable for different screen sizes and usage contexts.
How can developers integrate Nano Banana Pro API into their applications?
To integrate the Nano Banana Pro API into applications, developers can register on Kie.ai to obtain their API Key. This key will authenticate requests for text-to-image or image-to-image generation. The API supports REST and SDK-based integration, enabling developers to embed its advanced imaging capabilities into their systems, tools, or workflows. Kie.ai also provides a Playground for testing before full integration, ensuring smooth deployment in production environments.







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