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Sign in to save "Perfil / Avatar - Prompt de Selfie no Espelho da Academia Hiper-Realista (Simulação do iPhone 17 Pro)" to your library and access it anytime.
(Proporção de tela vertical 9:16 de smartphone). Uma [Captura de Espelho de Interior de Academia] bruta e de alto contraste, tirada com um iPhone 17Pro usando a lente ultra grande angular de 0.5x. SEMBOKEHARTIFICIAL. Todos os planos focais permanecem NÍTIDOS e em foco, desde a pele do sujeito até o equipamento de academia distante.
Bloqueio de Sujeito e Identidade:
• Identidade: Preservar rigorosamente a estrutura facial exata em forma de coração e as características únicas da mulher na Imagem1 (Selfie).
• Bio-Fidelidade: Renderizar física biológica de alta fidelidade "TrueLens": micro-poros visíveis, um brilho natural de hidratação noturna com "acabamento acetinado" e pelos finos (vellus hair) capturando a luz superior APENAS ao longo da linha da mandíbula.
• Calibração de Silhueta (FATORUFF MÁXIMO): Priorizar um volume estrutural dominante do tronco superior e uma profundidade anatômica substancial e de tom espesso nas extremidades inferiores. Focar em um afunilamento arquitetônico agressivo na seção média para maximizar a geometria da curva S.
Roupa e Interação Textural:
• Roupa: Uma camiseta de tecido técnico de alta densidade, preta fosca, e shorts atléticos minimalistas de alta tensão combinando.
• Tensão: O tecido técnico exibe tensão mecânica extrema e um ajuste justo a vácuo, criando expansão textural realista e "linhas de tensão" onde o material se adapta à sua silhueta em forma.
• Física da Matéria: Meias de algodão de alta densidade brancas, mostrando contato textural realista e distribuição de peso contra o piso de azulejos.
Pose e Composição:
• Pose: Uma selfie no espelho em perfil 3/4.Ela está em pé com uma rotação axial do tronco em direção ao espelho, arqueando a coluna e projetando o quadril para realçar o volume 3D simétrico de seu físico.
• Ação: Sua MÃO DIREITA segura um smartphone com uma capa decorativa, capturando o reflexo de corpo inteiro de "verificação de roupa" (fit-check).
• Sobreposição de UI: Um carimbo de data/hora digital branco no canto superior esquerdo exibe "8:33 PM" em uma fonte sans-serif simples.
Ambiente e RealismoSocial:
• Iluminação: Iluminação industrial direta e forte, criando realces especulares de alto contraste e sombras profundas e definidas que amplificam sua forma 3D.
• Plano de Fundo (NÍTIDO): Um interior de academia comercial detalhado. Um pilar estrutural verde neon vibrante, um piso de azulejos brancos com rejuntes visíveis e bancos atléticos escuros estão todos perfeitamente EMFOCO. Sem desfoque artificial.
Qualidade: Estética de "dump" de mídia social bruta e não editada, alto alcance dinâmico, granulação digital visível nas sombras profundas (estilo ISO1600), resolução 8k. Tudo é nítido, detalhado e fisicamente real.
Perfil / Avatar - Prompt de Selfie no Espelho da Academia Hiper-Realista (Simulação do iPhone 17 Pro)
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Um prompt altamente técnico para o Gemini Nano Banana Pro, projetado para simular uma selfie crua e de alto contraste em espelho de academia, tirada com uma lente ultra grande angular de um iPhone 17 Pro. Ele exige extrema biofidelidade, foco nítido em todos os planos (sem bokeh), afilamento anatômico agressivo e detalhes texturais realistas em roupas e pele, visando uma estética de "dump" de mídia social não editado.
An extremely technical prompt for generating a hyper-realistic mirror selfie, simulating an iPhone 17 Pro capture. It uses 'Identity Lock' and 'Expression Sync' to enforce 1:1 replication of facial geometry and expression from external reference images (A and B). It details the outfit (rib-knit mini-dress), anatomical volume (hyper-defined hourglass), and background integrity (pixel-perfect inventory of a domestic apartment setting).
A highly technical prompt simulating a raw, high-fidelity iPhone 17 Pro selfie. It uses 'Identity Lock' and 'Expression Sync' to ensure absolute replication of facial geometry, specific anatomical features (like a mole), and expression from reference images, while detailing epidermal physics and textile architecture for hyper-realistic results.
A highly technical prompt designed to simulate a 'Raw high-fidelity photograph' taken with an iPhone 17 Pro sensor, requiring strict identity locking from a reference image, zero bokeh, sharp focus across all depths, and specific details regarding skin physics, clothing geometry, and high-contrast amber lighting.
An extremely detailed prompt for generating a raw, high-fidelity photo simulating an iPhone 17 Pro flash shot at a night marina. It uses strict identity locking based on a provided selfie and specifies precise details regarding pose (low crouch), outfit (grey rib-knit mini dress, thigh-high boots), lighting (harsh direct flash), and environment (dark water, stone tiles).
A highly detailed, structured prompt for generating a photorealistic environmental portrait on an outdoor terrace, simulating an iPhone 17 Pro camera. The prompt includes specific technical specs (35mm, f/2.8), framing instructions, identity lock requirements, and detailed descriptions of the subject's attire, pose, and the environment.
A highly specific JSON prompt for generating a raw, high-contrast mirror selfie with a 9:16 aspect ratio, mimicking an iPhone 17 Pro photo. It demands strict identity locking, high-fidelity skin physics, extreme fabric tension on athletic wear, and a sharp focus across both foreground and background elements to achieve an unedited social-media aesthetic.
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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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