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What is nano-banana? Google’s new image model. It was released today and it’s already available in Pletor.

This guide is the first exhaustive analysis of nano-banana’s performance across 20+ use cases. So you can get value from it faster than your competitors.

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TL;DR

Nano-banana is the best AI image model. It stands out with its extreme consistency (product, character, style) combined with great prompt adherence.

This model may be the first to enable hyper-personalized marketing visuals at scale. It provides the necessary level of control while delivering consistently good results. The smartest brands will generate significant revenue by combining it with the right automation workflows.

More concretely, it unlocks (peels? 🍌) several major marketing use cases:

• Best model for product shots - it made the other models irrelevant as it outperforms across use cases, including for complex products or to combine several products into one image
• It makes AI avatars production-ready - nano-banana gives unparalleled control on an AI avatar: interact with an object, change pose or outfit, put it an other setting…
• It “understands” art direction - no more prompt engineering and complex workflows if you want to replicate an at direction, nano-banana gets it with simple instructions
• It also improves the state-of-the-art on key topics: text handling, layouts, complex compositions (several inputs into one picture)…

3 products + 1 model into one image.

Create UGC-style images to showcase your product.

Put a model anywhere while keeping product consistent.

Remix and localize existing ad creatives.

As a 🎁, I have teamed up with several AI creative directors to create Pletor workflows leverage nano-model. At least, you can get up to speed immediately: