Crie uma imagem infográfica de [{argument name="body part"default="Eye"}], combinando uma fotografia realista ou renderização fotorrealista do objeto com sobreposições de anotações técnicas colocadas diretamente por cima.
Use desenhos de linha e texto em estilo de tinta preta (aparência de caneta técnica / esboço arquitetônico) em um fundo de estúdio branco puro, incluindo:
• Rótulos dos componentes principais
• Contornos de corte interno ou vista explodida
• Medidas, dimensões e marcadores de escala
• Chamadas e quantidades de materiais
• Setas indicando função, força ou fluxo (ar, som, potência, pressão)
• Diagramas esquemáticos ou seccionais simples, quando relevantes
Coloque o título [BODYPART] dentro de uma caixa de anotação técnica desenhada à mão em um canto.
Regras de estilo e layout:
• O objeto real permanece claramente visível sob as anotações
• As anotações parecem esboçadas, técnicas e arquitetônicas
• Composição limpa com espaço negativo equilibrado
• Vibe educacional, de exposição de museu / manual de engenharia
Estilovisual:
Estética de ilustração técnica mínima, traços pretos sobre imagens realistas, sensação precisa, mas ligeiramente desenhada à mão.
Paleta de cores:
Fundo branco, linhas de anotação pretas e texto apenas. Sem cores.
Saída:
1080×1080, ultra nítido, otimizado para feed social, sem marca d'água.
Infográfico / Visual Educacional - Modelo de Prompt de Infográfico para Partes do Corpo
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Um modelo de prompt reutilizável para o Nano Banana Pro, projetado para criar uma imagem infográfica de uma parte específica do corpo (padrão para 'Olho'). O prompt instrui a IA a combinar uma renderização fotorrealista do objeto com sobreposições de anotações técnicas, usando desenhos de linha em tinta preta, rótulos, medições e diagramas esquemáticos em um fundo branco puro, visando uma estética de manual de engenharia educacional.
A detailed Japanese prompt for Nano Banana Pro to transform a reference character into a chibi-style robot and generate a technical illustration/infographic. The image features a cutaway view showing the character's clothing and the internal mechanical structure simultaneously, complete with English annotations for the parts.
A prompt for generating a colorful, minimalist exploded view diagram of a modern ergonomic chair. It specifies the style (industrial design, flat yet 3D), composition (vertically separated components), and requires clear labeling of all parts (headrest, casters, etc.) using a clean sans-serif font. This is useful for educational content or product marketing diagrams.
This prompt set is for generating ultra-realistic food photography, including a motion prompt for video generation (Kling AI) and two image prompts: one for a standard, high-detail pizza slice, and another for an exploded infographic view of the pizza layers.
A highly detailed, multi-part prompt designed to generate a technical infographic for an e-commerce product, combining a realistic photograph of the object with hand-sketched, architectural-style annotations, measurements, and schematic diagrams on a pure white background. The example object is a Tudor North Flag watch.
A complex, multi-part prompt designed to generate a technical infographic or blueprint of a product, combining a photorealistic image with dense, engineering-style annotations, labels, measurements, and structural callouts, all strictly in English, against a pure white background.
A detailed multi-part prompt for generating two distinct images and a motion sequence related to a taco. The first image is a high-end commercial photograph of the taco, and the second is a hyper-realistic exploded-view infographic of its ingredients with specific annotation design requirements. The motion prompt describes a smooth separation of ingredients for video generation.
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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, 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, 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, Browsing and interaction data, Non-precise location data, Precise location 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, Authentication-derived identifiers, Browsing and interaction data, User-provided 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, User-provided data, Precise location data
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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