How to use Nano Banana for product photography
Upload a real product photo, describe the scene in Google’s template order, and keep reference photos inside the model’s limit. The template comes from Google’s Developers Blog (28 August 2025); the limits from the Gemini API docs, read 2 October 2026.
| Model | Product photos it keeps “with high-fidelity” | Sizes | Per 1K image (API) |
|---|---|---|---|
| Nano Banana 2 (gemini-3.1-flash-image) | Up to 10 | 0.5K, 1K, 2K, 4K | $0.067 |
| Nano Banana Pro (gemini-3-pro-image) | Up to 6 | 1K, 2K, 4K | $0.134 |
| Nano Banana 2 Lite (gemini-3.1-flash-lite-image) | Up to 14 on the API; Google says it is “not designed for multiple references or multi-step edits in the app” | 1K only | $0.0336 |
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Prices are Google’s standard API rates, checked . Plans and free limits sit on Nano Banana pricing.
Which Nano Banana, and where to run it
The cheaper model holds more product photos. Nano Banana 2 keeps up to 10 object references at $0.067 per 1K image, and Pro keeps up to 6 at twice that. For a product with a front, a back, a label close-up and a packaging shot, both fit. A bundle of seven items fits only Nano Banana 2 and Lite.
| Route | What it gives a product shoot |
|---|---|
| Gemini app | 1K downloads free, 2K on a Google AI plan; generating and editing images needs a personal account aged 18 or over |
| Flow | Google’s video tool, which also makes images; the free plan lists “limited Nano Banana Pro access in Flow” |
| Gemini API | Every size up to 4K, batch pricing and the reference limits above |
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Prompt packs written for the original model target gemini-2.5-flash-image. Google’s deprecations page, last updated 1 October 2026, gives it a shutdown date of 2 October 2026 and names gemini-3.1-flash-image-preview as the replacement. Which model to pick against which is on the Nano Banana profile.
Google’s product photography template
Section 4 of Google’s blog, “Product mockups & commercial photography”, gives this template:
A high-resolution, studio-lit product photograph of a [product description] on a [background surface/description]. The lighting is a [lighting setup, e.g., three-point softbox setup] to [lighting purpose]. The camera angle is a [angle type] to showcase [specific feature]. Ultra-realistic, with sharp focus on [key detail]. [Aspect ratio].
The post’s first principle sits above every template: “Describe the scene, don’t just list keywords.” Google explains that “A narrative, descriptive paragraph will almost always produce a better, more coherent image than a simple list of disconnected words.”
| Slot | What it decides |
|---|---|
| Product description | The product as its label states it, finish included |
| Background surface | The setting a buyer reads as the brand’s world |
| Lighting setup and purpose | The light, then what it is for |
| Angle and feature | The angle that shows the selling point |
| Key detail | Where the focus lands, usually the label or texture |
| Aspect ratio | The placement: the API docs list 1:1, 4:5, 9:16 and 16:9 among others |
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Nano Banana prompts for ecommerce, by shot
Each template below is Google’s structure with its slots filled by us. Attach the product photos first, then paste the prompt. For a lifestyle or in-use shot, replace “studio-lit” with the light you name in the lighting slot.
White-background packshot
A high-resolution, studio-lit product photograph of [the attached bottle, amber glass, white screen-printed label] on a seamless pure white background. The lighting is a broad top light with a fill card either side to keep the edges crisp and the shadow beneath faint. The camera angle is a level front view centred on the label to showcase the full front label. Ultra-realistic, with sharp focus on the label text. 1:1.
Attach 2 photos: the front and a label close-up. A 2K listing image on Nano Banana 2 costs $0.101.
Lifestyle scene
A high-resolution product photograph of [the attached candle in a ribbed ceramic jar] on a [linen-covered bedside table beside a closed hardback book]. The lighting is a low amber glow through sheer curtains to suggest early evening. The camera angle is an angled view from seated height to showcase the jar's texture. Ultra-realistic, with sharp focus on the brand mark. 4:5.
Attach 2 or 3 photos from different angles. One 1K feed image: $0.067 on Nano Banana 2.
Flat lay
A high-resolution, studio-lit product photograph of [the attached serum, its box and the dropper] on a [pale terrazzo slab with two eucalyptus sprigs]. The lighting is one large bounced light directly above to keep the shadows small and uniform. The camera angle is directly top-down to showcase all three items in one layout. Ultra-realistic, with sharp focus on the box front. 1:1.
Attach one photo per item, three here. Pro holds up to 6 such items, at $0.134 per 1K image.
Product in use
A high-resolution product photograph of [the attached water bottle, matte sage green] on a [gym bench beside a folded towel], with a hand gripping its cap. The lighting is a hard side light from the right to show the matte surface. The camera angle is a low diagonal view to showcase the leak-proof lid. Ultra-realistic, with sharp focus on the logo. 9:16.
Attach the product photos only and keep the hand generic. A recognisable person falls under Google’s impersonation rule, quoted below.
Seasonal banner
A high-resolution, studio-lit product photograph of [the attached gift box, deep red with a gold foil logo] on a [snow-dusted wooden surface with out-of-focus fairy lights behind]. The lighting is a blue-toned main light with a golden edge light to separate the box from the background. The camera angle is a front view from just above to showcase the foil logo. Ultra-realistic, with sharp focus on the logo. 16:9.
Attach the box front and the logo close-up. A 4K banner on Nano Banana 2 costs $0.151.
Keeping the label and logo right
Product accuracy draws praise in 5 of the 38 public user reviews of Nano Banana and complaints in 3. Product shots stay faithful to the real product in 5 of 38 sources (r/nanobanana, r/nanobanana); one says “the product accuracy is what makes it commercially viable”. Against that:
- The same prompt giving a different image, and edits that transfer unreliably (3 of 38 sources: r/GeminiAI, r/nanobanana).
- Moderation refusing harmless edits, a logo among them (5 of 38 sources: r/nanobanana, r/nanobanana).
Outside accuracy, Google swaps the default model, and users report quiet downgrades in Pro and in prompt adherence (5 of 38 sources: r/nanobanana, r/nanobanana).
Google’s documented lever is the reference count: up to 10 object photos on Nano Banana 2 and up to 6 on Pro “with high-fidelity”. Name the label in the key detail slot, then check the output at full size before it ships.
Small print and legal copy belong in your editor: lay the real label artwork over the generated scene as the last step. The AI product photography prompts guide sets this method out for any tool.
Nano Banana for UGC-style stills
Google’s Generative AI Prohibited Use Policy (last modified 17 December 2024) bars “Impersonating an individual (living or dead) without explicit disclosure, in order to deceive”.
It also bars “Misrepresenting the provenance of generated content by claiming it was created solely by a human, in order to deceive.” Google’s Terms of Service forbid “misleading others into thinking that generative AI content was created by a human”.
Both clauses carry the condition “in order to deceive”. Google’s text bars claiming human authorship to deceive; whether a given post does so is not stated.
Prompts for creator-style stills are in AI UGC prompts, and video versions in AI UGC product in hand. The advertising law is in AI UGC legal rules.
Can you use Nano Banana images in ads?
Google “won’t claim ownership” of generated content and no clause grants or limits ad use, so paid ads are unclear on every plan (rights row). Every image carries SynthID, and since 1 June 2026 Meta is beginning to detect third-party AI ads and label them “AI info” (Meta’s rules, all platforms).
Questions sellers ask about Nano Banana product photos
How many product photos can Nano Banana take as references?
Up to 10 object images on Nano Banana 2, 6 on Pro and 14 on Lite’s API, per Google’s API docs.
Does Nano Banana add a watermark?
Yes. Every image carries SynthID, an invisible mark. The Gemini app adds a visible mark while Media Watermark is on.
Can Nano Banana keep my product’s label?
Not guaranteed. 5 of 38 reviews say product shots stay faithful; 3 of 38 report different images from one prompt. Overlay real label artwork.
Sources
- Google Developers Blog: How to prompt Gemini 2.5 Flash Image Generation for the best results, Published 28 August 2025; the principle
Describe the scene, don’t just list keywords
and section 4, the product mockups and commercial photography template with Google’s coffee mug example. Checked - Google AI for Developers: Image generation with Gemini, Object reference limits per model (14, 10 and 6 images of objects with high fidelity), character and style reference limits, sizes, aspect ratios, the SynthID line. Last updated 23 September 2026. Checked
- Google AI for Developers: Gemini API deprecations, gemini-2.5-flash-image released 2 October 2025, shutdown date 2 October 2026, replacement gemini-3.1-flash-image-preview. Last updated 1 October 2026. Checked
- Google AI for Developers: Gemini Developer API pricing, Per-image prices for Nano Banana 2, Nano Banana 2 Lite and Nano Banana Pro by size. Checked
- Google: Google AI plans, Gemini app plans, download sizes by plan, Flow access. Checked
- Google: Generative AI Prohibited Use Policy, The misrepresentation list, impersonation without explicit disclosure and provenance claimed as solely human. Last modified 17 December 2024. Checked
- Google: Google Terms of Service, Your content, Google does not claim ownership over generated content. Effective 30 July 2026. Checked
What changed on this page
- Written from Google’s prompting blog, the Gemini API image and deprecation docs, Google’s plans page and policies, all read 2 October 2026, and 38 public user reviews of Nano Banana.