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Nano Banana Pro для карточек товаров: что работает, а что нет по итогам сотен генераций

Можно ли заменить фотостудию нейросетью? Автор Habr несколько месяцев и сотни генераций гонял Nano Banana Pro на реальных задачах: карточки товаров, имиджевые иллюстрации, визуалы для соцсетей. Мотив простой — студийная съёмка стоит 25 000–44 000 ₽ за 50 снимков плюс неделя ожидания. В разборе — где генерация реально работает, а где пока проваливается, без маркетингового глянца.

AI-processed from Habr AI; edited by Hamidun News
Nano Banana Pro для карточек товаров: что работает, а что нет по итогам сотен генераций
Source: Habr AI. Collage: Hamidun News.
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In July 2026, Habr published a breakdown of a months-long test of Nano Banana Pro — Google's image generation model. The author ran several hundred generations to find out whether it can realistically replace studio photography for product cards, image illustrations, and social media visuals.

What Nano Banana Pro Is

Nano Banana Pro is Google's image generation model based on Gemini (official name — Gemini 3 Pro Image). It can create photorealistic shots and work with composition and text on the image — this is exactly what makes it a candidate for replacing part of studio photography. In the test, the author used the Pro version.

Why Replace a Studio with a Neural Network

The main reason is cost and timing. According to the author's calculations, studio photography costs 25000–44000 ₽ for 50 shots, and the price comes with about a week of waiting. For a business that constantly needs visuals, this isn't a one-time expense but a recurring one: every new batch of product cards or creatives runs into the same budget and the same timelines again.

  • Cost of studio photography: 25000–44000 ₽ for 50 shots
  • Wait time for finished shots: about a week
  • Scale of the test: several months and several hundred generations
  • Tool: Nano Banana Pro — image generation from Google
  • Tasks: product cards, image illustrations, social media visuals

That's exactly why the author decided to take generation seriously: if Nano Banana Pro covers even part of these tasks, the savings on each batch of 50 shots run into tens of thousands of rubles.

What Exactly the Author Tested

The author tested Nano Banana Pro on three applied tasks: product cards for marketplaces and stores, image illustrations, and pictures for social media. The goal was practical, not an experiment for its own sake — to set up a steady stream of visuals without involving a photo studio.

The test ran for several months, not a couple of evenings: over this time, several hundred generations accumulated. That volume makes it possible to separate random lucky shots from a stable result that can be put into production.

Why This Matters for Business

Nano Banana Pro and similar models are moving image generation out of the demo category and into a working tool. For small businesses and content teams, the math is concrete: if the neural network covers even part of the shoots, the savings on each batch of 50 shots run into tens of thousands of rubles and a week of time.

The author deliberately avoids a promotional tone and promises to show not only the successes but also the failures — where generation still falls short of studio quality, and where a live shoot can't be avoided.

"Several months, several hundred generations — honest conclusions without marketing," — the author of the article on

Habr.

How Much You Can Save

Savings on a single batch reach up to 44000 ₽ and roughly a week of time. With regular publication of product cards and creatives, studio expenses repeat every month, whereas shifting part of the tasks to generation removes both the money ceiling and the time ceiling: there's no need to pay for every shoot or wait a week. This is exactly the hypothesis the author tested over a span of several months.

What This Means

Image generation is ceasing to be a toy and becoming a line item of savings for those who regularly order photo shoots. The full breakdown — where Nano Banana Pro genuinely replaces a photo studio, and where it doesn't — is what the author examines in the article itself, using concrete examples.

ZK
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