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"}".
Ativo de Jogo - 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 detailed Japanese prompt designed to generate a 3x3 grid of nine different LINE stickers featuring a 3D character in a blind box/Pop Mart style. It specifies a clay texture, matte finish, soft lighting, and nine distinct expressions, each with a cute Japanese text label and white outline.
A prompt for Nano Banana Pro to generate a sticker sheet featuring a cute chibi anime girl in multiple poses and expressions, rendered in a flat 2D vector style with a white border and high resolution.
A prompt for generating a set of 3D chibi-style cartoon stickers based on a reference face. It specifies the aesthetic (Pixar/Disney-inspired, glossy eyes, rounded face), character details (red leather jacket), multiple emotional poses, and technical requirements (smooth plastic texture, white outline, high resolution).
A JSON prompt for Nano Banana Pro to generate an ultra-realistic 3D chibi sticker set of a character (based on a reference image) in the Pixar/Disney style. The prompt specifies the character's features, clothing (blue leather jacket), and a list of nine different emotions/poses for the stickers, all presented with a clean sticker cut on a pastel cream background.
A cinematic prompt for Gemini Nano Banana Pro to generate a close-up portrait of a female boxer with wet, slicked-back hair and a piercing gaze, featuring a Cartier logo sticker on her nose and gold earrings, emphasizing strength and style against a clean white background.
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Exponential Interactive, Inc d/b/a VDX.tv
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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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