Referenciando este personagem, deforme-o de forma fofa. Desenhe16 tipos de adesivos LINE. Crie poses e posicione o texto para formar um conjunto com rica variação, garantindo que não haja adesivos semelhantes. O diálogo deve ser em japonês com texto em estilo pop. O fundo é branco. Crie um conjunto que seja fácil de usar na conversa diária de uma "{argument name="target" default="high school girl"}".
Publicação em Redes Sociais - Criando LINE Stickers com Nano Banana 2
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Um modelo de prompt detalhado para gerar um conjunto de 16 figurinhas LINE com um personagem fofo e deformado, baseado em uma imagem de referência. As figurinhas são projetadas para uso em conversas diárias por uma estudante do ensino médio, apresentando poses variadas, texto em japonês e um fundo branco.
A comprehensive prompt, provided in both English and Japanese, designed to generate a collage of over 20 distinct sticker-style illustrations of a female character based on an uploaded reference image. The prompt specifies a 3D Pixar/Disney art style, soft cinematic lighting, pastel colors, and detailed character features (lightly permed black hair, beige cardigan). It requires a variety of expressions and reactions, all arranged in a single, high-resolution collage with white borders and soft shadows, ideal for creating sticker packs for social media.
A structured prompt for creating a complex digital scrapbook or fan-edit collage in a Y2K/Coquette aesthetic, featuring multiple cutouts of a K-pop idol-style subject. It details the visual structure, graphic overlays (ransom-note text, teddy bear sticker), background texture (vintage newspaper), and technical camera values (85mm lens, natural window light).
A prompt template for generating a set of 16 LINE stickers using Nano Banana 2, emphasizing cute deformation, variety in poses and text, and suitability for high school girl daily conversations.
This prompt uses Nano Banana Pro to embed an uploaded image onto the small LCD screen of an early 2000s Japanese flip phone (garakei). The scene is styled with nostalgic elements like pixelated edges, pastel beaded straps, photo stickers, and gel pens, evoking a 'kawaii' and emotional retro aesthetic.
A detailed prompt for generating an image with an authentic analog 35mm photography aesthetic, featuring a woman in pajamas and slippers standing at a roadside next to a worn VW Combi van at night, illuminated by a single camera flash, with specific requirements for readable text on stickers.
A complex JSON prompt requiring the generation of a photorealistic fashion editorial portrait of a woman (with specific pose, wardrobe, and props) alongside an exact 2D vector cartoon duplicate of the subject, ensuring precise mirroring of pose and details in the sticker overlay.
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Authentication-derived identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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