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{
"action": "generate",
"content": {
"subject": {
"description": "짧은 금발 머리를 가진 결단력 있는 운동선수 여성이 빨간색 보호 헬멧과 검은색 스트랩이 달린 견고한 올리브 그린 구명조끼를 착용한 클로즈업 셀카.",
"pose": "여성은 노란색 카약에 앉아 오른손에는 노란색 날이 달린 검은색 패들을 들고 왼팔을 카메라 쪽으로 뻗어 셀카를 찍고 있습니다."
},
"environment": {
"setting": "어둡고 이끼 낀 절벽 벽과 꼭대기에 무성한 녹색 나무가 보이는 좁고 가파른 바위 협곡.",
"water_conditions": "거품이 일고 물보라가 카약 옆을 때리는 빠르게 흐르는 급류."
},
"technical_details": {
"camera_angle": "몰입감과 속도감을 주는 로우 앵글 광각 렌즈 셀카 시점.",
"lighting": "협곡 위에서 쏟아지는 밝은 자연광이 바위에 고대비 그림자를 만들고 물 위에는 반짝이는 하이라이트를 만듭니다.",
"style": "얕은 피사계 심도로 남성의 강렬한 표정에 초점을 맞추고 배경 급류에는 약간의 모션 블러가 있는 하이퍼리얼리즘 액션 사진."
},
"color_palette": [
"생생한 노란색 카약과 패들",
"짙은 빨간색 헬멧",
"자연스러운 이끼 낀 녹색과 짙은 회색 바위",
"선명한 흰색 물거품"
]
}
}
YouTube 썸네일 - Google Gemini Nano Banana Pro 2.5용 액션 카약 셀카 프롬프트
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가파르고 바위가 많은 협곡에서 급류를 카약으로 헤쳐나가는 단호한 운동선수 여성이 클로즈업 셀카를 찍는 초현실적인 액션 사진을 생성하도록 설계된 JSON 프롬프트. 이 프롬프트는 몰입감과 속도감을 연출하기 위해 생생한 색상, 로우 앵글 광각 렌즈 시점, 고대비 조명을 지정합니다.
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 JSON prompt for generating a four-panel collage depicting a woman (Ana de Armas reference) working in a modern high-rise trading workspace during sunset. The prompt details the environment (city skyline, multiple monitors), the subject's focused expression, and various poses (seated, typing, standing) to convey themes of financial intelligence, urban success, and high-performance workflow.
A structured system prompt designed to be used with Nano Banana Pro to generate high-quality, 'sellable' eye-catching thumbnails for online content platforms like Brain, Tips, and Note. The prompt defines the role as a professional graphic designer and provides a detailed design style guide, including layout, color scheme, typography, and required input fields for customization.
A user-developed 'Master Prompt' for the Nano Banana PRO model, designed to create elite-tier, highly realistic NBA arena promotional images that capture the electric pre-game energy of any franchise, going beyond simple logo placement.
A summarized prompt used for both image and video generation (Kling 3.0 Omni) to create a cinematic short film about a woman baking. It emphasizes film-like color tones, shallow depth of field, ASMR-like sound details, and smooth camera work.
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.
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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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