Google · Photo

Nano Banana 2.1 Text-to-Image

Images from text4K

Google's Nano Banana 2.1 is the latest Nano Banana text-to-image model, with gains in visual design, subject consistency and prompt adherence, 1K to 4K output and optional web search grounding.

from€0.08per render

Examples

Nano Banana 2.1 Text-to-Image: Candid portrait of an elderly fisherman mending a net on a wooden dock at golden hour, weathered hands and fac
Prompt

Candid portrait of an elderly fisherman mending a net on a wooden dock at golden hour, weathered hands and face, warm side light, shallow depth of field, 85mm photo, realistic skin texture

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Nano Banana 2.1 Text-to-Image: A mid-century modern travel poster for a fictional seaside town. Bold flat shapes: turquoise sea, a white ligh
Prompt

A mid-century modern travel poster for a fictional seaside town. Bold flat shapes: turquoise sea, a white lighthouse, orange sun, two sailboats. Large headline at the top reading "SOLMARE", smaller line at the bottom reading "Summer Sea Festival · July 12-20". Clean grid layout, subtle paper grain, limited warm palette.

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Nano Banana 2.1 Text-to-Image: Street photo of a woman with a clear umbrella walking down a narrow alley at dusk in the rain, warm glowing pa
Prompt

Street photo of a woman with a clear umbrella walking down a narrow alley at dusk in the rain, warm glowing paper lanterns, reflections on the wet pavement, 35mm film look, no readable signs

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Nano Banana 2.1 Text-to-Image: Overhead photo of a rustic breakfast table: sourdough toast with smashed avocado and poached eggs, a cup of bl
Prompt

Overhead photo of a rustic breakfast table: sourdough toast with smashed avocado and poached eggs, a cup of black coffee, fresh berries, linen napkin, soft morning window light, food photography

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Specs

Typetext-to-image
OutputPhoto
InputText
Model IDgoogle/nano-banana-2.1/text-to-image

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Prices are per render and charged from your balance only when a render succeeds. Failed renders are refunded automatically. Examples show what the model can do; your result depends on your prompt and settings.