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Sign in to save "Miniatura do YouTube - Prompt de Vídeo Curto Cinematográfico para Cena de Culinária" to your library and access it anytime.
Um curta-metragem cinematográfico de uma mulher a fazer doces. Unificado com tons de cor de filme, realces suaves, sombras quentes e profundidade de campo rasa, a fofura da mulher é expressa apenas através de gestos, expressões subtis e reações ao som. Começa com um close-up das suas mãos, retratando uma série de ações — misturar ingredientes, verter, assar no forno e, finalmente, dar uma dentada — acompanhadas por sons imersivos tipo ASMR (sons de contacto de utensílios, sons de cozedura, respiração). Um vídeo acolhedor composto por movimentos suaves de gimbal e puxadas de foco, com transições naturais cronometradas para o pico do movimento e do som.
Miniatura do YouTube - Prompt de Vídeo Curto Cinematográfico para Cena de Culinária
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Um prompt resumido usado para geração de imagem e vídeo (Kling 3.0 Omni) para criar um curta-metragem cinematográfico sobre uma mulher assando. Ele enfatiza tons de cores cinematográficos, profundidade de campo rasa, detalhes de som semelhantes a ASMR e trabalho de câmera suave.
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 cinematic prompt used for video generation (Kling 3.0 Omni based on Nano Banana Pro images) describing the process of embroidery. It emphasizes soft backlighting, pastel colors, close-ups of the needle and thread, a time-lapse of the pattern expanding, and a final shot of the completed work, all unified by a shallow depth of field and film grain.
A video created using Kling 3.0 Omni, which sequences four images generated by Nano Banana Pro based on a shared prompt (developed by GPT-5). The prompt focuses on a cinematic, four-cut sequence depicting a woman's charm through casual conversation, using ASMR and binaural audio.
A cinematic video prompt, generated by GPT-5 and used for Kling 3.0 Omni, describing a four-cut sequence of a cute woman painting a wall. The prompt specifies camera shots (extreme close-up, medium, artistic cut, wide shot), soft pastel tones, and shallow depth of field to create a warm atmosphere.
A summary of a cinematic food short video prompt, which was used to generate images in Nano Banana Pro and then converted into a video using Kling 3.0 Omni. The prompt was generated by GPT-5.
A comprehensive, cinematic prompt used to generate a 4-cut video focused on Japanese cuisine, emphasizing ASMR elements, smooth transitions (match cuts/pans), warm lighting, and a minimalist piano soundtrack with Japanese instrument accents. The prompt was used for both image generation (Nano Banana Pro) and video generation (Kling 3.0 Omni).
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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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