Nano Banana Pro AI Model to generate 4K product photos and typography
Google Image models Upgrade to use google/gemini-3-pro-image
Nano Banana Pro is Google's premium image model (gemini-3-pro-image) for high-resolution, reference-driven image generation and precise on-image text. It suits designers, marketers and agencies who need product photos, packaging mockups or multi-image layouts with consistent brand look and tight typographic control.
What it can do
- Reads images and screenshots
- Thinks step by step on hard questions
What people use it for
Ecommerce product photography
Create 4K product shots with realistic lighting, reflections and isolated backgrounds ready for catalog or ad use; delivers export-ready images for designers and ad platforms.
Typography and packaging mockups
Render legible, on-image text and structured packaging layouts that respect type scale and brand color; useful for pre-visualizing labels and hero banners.
Multi-image compositions and edits
Combine several references into a single composed scene, relight elements and outpaint to larger canvases for editorial spreads or product comparisons.
Why it is worth it
- High-fidelity 4K output suitable for final assets and large-format printing.
- Stronger fidelity to reference images for brand and product consistency.
- Advanced composition controls for multi-image layouts and outpainting.
- Better typographic rendering on images compared with generalist models.
Questions people ask
When should I pick Nano Banana Pro instead of a faster image model?
Choose Nano Banana Pro when final image quality, accurate typography and faithful use of reference images matter more than raw throughput. It is optimized for professional assets rather than high-volume, low-latency generation.
How is billing handled on Katteb for this model?
Katteb charges per image in credits; Nano Banana Pro costs 264 credits per generated image. Billing shows actual usage in your account rather than flat per-hour pricing.
Can Nano Banana Pro edit an existing photo or follow multiple reference images?
Yes. The model supports image-to-image edits, multi-reference composition and outpainting, but results depend on the input references and framing. For best results, provide high-quality references and explicit instructions.
