Nano Banana 2 — Google's Gemini 3.1 Flash Image model — earned its reputation on two things: it renders text that stays legible, and it follows references instead of merely tasting them. Google's own prompting guidance describes the first and quietly skips the second. This guide is the version you can actually work from.
Every example below runs as-is in Imgo's image generator with Nano Banana 2 selected, and the method carries to the prompt guides in the library.
A prompt that lands first-try has five blocks, and the order matters more than the wording:
| Block | What it does | Example |
|---|---|---|
| Subject | Who or what, with the two or three details that identify it | a matte-black ceramic pour-over kettle, 1 L, wooden handle |
| Scene | Where it sits and what the light is doing | on a linen cloth beside a north-facing window, soft morning light from the left |
| Style | The rendering register | photorealistic product photography, shallow depth of field |
| Technical | Framing and output discipline | 3:4 vertical, product fills 80% of frame, no props |
| Variables | The bracketed parts you swap between runs | [product] [surface] [time of day] |
Most failed prompts are missing the technical block — the model chooses a framing for you, and it will not be the framing you needed.
Attach a reference and Nano Banana 2 treats it as evidence, not vibes. Three rules make references reliable:
Short text is the model's documented strength: a three-word headline, a product label, a price tag render cleanly. Long copy is still a losing game — a paragraph of body text will come back with plausible-looking nonsense letters. The working split: generate the headline and the label in the image; set the paragraphs and the fine print in your design tool afterwards, where they are editable and crisp.
In the editor, Nano Banana 2 takes edit instructions literally. "Make the background white" recuts everything; "replace the background with pure white, keep the product and its shadow untouched" keeps what you came for. Name what stays before you name what changes — that single habit prevents most re-runs.
Using the attached photo as the exact product: [product name] centered on a pure white background (RGB 255,255,255), product fills 85% of the frame, soft even studio light, no props, no text, 1:1.
Same character as the attached reference: [name], [one identifying detail], now [action] in [setting], consistent face and outfit, [light], photorealistic, 4:5.
Vertical music festival poster for "[festival name]", headline "[three-word headline]" in bold condensed type at the top, one headline act name below it, textured paper background, risograph palette, empty lower third for lineup type, 2:3.
Labels and logos first — zoom to 200% and read every character. Then silhouette (does the product still look like your product), then edges of the edit (did the change leak outside the requested area). A result that passes those three survives contact with a real buyer.
The method above is the short version. The full prompt guides break it down per task — products, editing, references, characters, posters — with the inputs and checks for each, and the model page covers where Nano Banana 2 sits against Nano Banana Pro and GPT Image 2 in the three-way comparison.
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