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Um quadro de documentação de um mestre relojoeiro para {argument name="timepiece"default="um Cronógrafo Tourbillon"} — {argument name="manufacture"default="Patek Philippe"} / {argument name="complication"default="Calendário Perpétuo"} / {argument name="year"default="1950"}. Seção esquerda: contexto histórico mostrando os desenhos originais da patente, anúncios de época em molduras douradas e fotografias de arquivo do ateliê com artesãos trabalhando. Seção central: o movimento em vista explodida, cada roda, mola e joia suspensa em relação espacial precisa, com indicações de materiais (listras de Genebra, parafusos azulados, rolamentos de rubi) e anotações funcionais traçando o fluxo de energia da mola principal ao escape. Seção direita: o relógio completo em seu contexto definidor — pulso de um explorador, bolso de um diplomata ou vitrine de um colecionador — capturado com pouca profundidade e iluminação lateral quente. O estilo visual transita do escritório de patentes sépia para o cromo de precisão mecânica e para o retrato íntimo. Bloco de título com a inscrição "{argument name="watch name" default="[NOMEDORELÓGIO]"} — CALIBRE {argument name="calibre number" default="[NÚMERO]"}, {argument name="complication" default="[COMPLICAÇÃO]"}, CIRCA {argument name="year" default="[ANO]}".
Infográfico / Visual Educacional - Painel de Documentação do Relojoeiro (Vista Explodida)
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Um modelo de prompt projetado para gerar um painel de documentação complexo e com várias seções para um relógio, combinando desenhos de patentes históricas, uma vista explodida detalhada do movimento (com indicações de materiais) e um retrato íntimo do relógio completo, com transição de estilos visuais em todo o painel.
Stop listing specs. Start selling value. This prompt converts your raw technical features (e.g., "WebSockets support") into high-converting marketing copy (e.g., "Real-time collaboration"). Ideal for Indie Hackers and Engineers.
A complex prompt for generating a collage-style image of an expedition planning board, divided into three sections: a topographical route map, an organized inventory of equipment, and an epic environmental photograph of the destination. The prompt is designed for use in Adobe Firefly and allows customization of the journey details.
A prompt template for generating a vintage patent-style technical illustration of an object. It specifies black ink linework, sepia accents, hand-lettered labels, cross-section views, and an official patent border on aged cream parchment paper, aiming for the aesthetic of 1890s mechanical engineering drawings.
A structured prompt designed for Adobe Firefly using Nano Banana Pro to create a hyper-realistic, cinematic cross-section of a dish. It uses a scientific illustration style with labeled layers, dramatic lighting, and a Wes Anderson aesthetic.
A complex, multi-section text prompt for generating a detailed, documentary-style visualization of a historical or fictional event (conflict, expedition, or migration) using a cartographer's crisis board aesthetic. It requires a visual transition from calm topography to urgent wartime graphics and melancholic aftermath, suitable for use with Nano Banana Pro and Adobe Firefly.
A customizable prompt template for generating a top-down flat lay image of food ingredients arranged in a radial burst pattern, designed to look like a luxury cookbook editorial or heritage restaurant poster, with technical annotations and a central plated dish.
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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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