Google · Foto

Nano Banana 2.1 Text-to-Image

Imagens a partir de texto4K

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.

a partir de€ 0,08por render

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Exemplos

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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Especificações

Tipotext-to-image

SaídaFoto

EntradaTexto

ID do modelogoogle/nano-banana-2.1/text-to-image

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Os preços são por render e só são debitados do seu saldo quando o render é concluído. Renders que falham são reembolsados automaticamente. Os exemplos mostram o que o modelo é capaz de fazer; o seu resultado depende do prompt e das configurações.