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오래된 크림색 양피지 위에 {argument name="object"default="복잡한 기계 장치"}의 빈티지 특허 스타일 기술 일러스트레이션을 만드세요. 세피아 악센트가 있는 검은색 잉크 선화, 손으로 쓴 라벨, 단면도, 번호가 매겨진 부품 설명선, 가짜 특허 번호와 날짜가 있는 공식 특허 테두리 프레임. 1890년대 기계 공학 도면 스타일. 우아하고 권위 있으며 박물관에 전시될 만한 가치가 있습니다.
인포그래픽 / 교육용 시각 자료 - 빈티지 특허 도면 기술 삽화
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사물의 빈티지 특허 스타일 기술 일러스트레이션을 생성하기 위한 프롬프트 템플릿입니다. 1890년대 기계 공학 도면의 미학을 목표로, 검은색 잉크 선화, 세피아 악센트, 손으로 쓴 라벨, 단면도, 그리고 오래된 크림색 양피지 위에 공식 특허 테두리를 지정합니다.
A prompt designed to generate an image of a vintage United States patent document from the late 1800s. It specifies details like precise technical drawings, handwritten annotations, aged paper texture, foxing stains, an embossed seal, and a wax stamp, making it ideal for historical or archival aesthetics.
A multi-step LLM/image generation prompt instructing the AI to analyze urban mobility, research patents, design a hybrid transportation device, and then generate four visual outputs: a 3D rendering in use, a glossy product photography shot, a detailed explanation of selling points, and four classic black-and-white technical patent drawings.
A complex, multi-step prompt designed for Nano Banana 2 to invent an absurd, legally patentable gadget by combining three random home appliances. The process involves generating a formal patent document (title, abstract, claims, problem solved), technical patent drawings, and a final glossy product render in Apple-product-photography style.
A prompt template designed to generate a complex, multi-section documentation board for a timepiece, blending historical patent drawings, a detailed exploded view of the movement (with material callouts), and an intimate portrait of the completed watch, transitioning visual styles across the board.
A complex, multi-step LLM prompt instructing the model to act as an inventor, historian, and artist. It requires analyzing an uploaded image of a historical figure (like Elon Musk) to predict and design two upgraded, feasible future products based on their tendencies. The output must be a 4-panel grid featuring 3D renderings of the products in use and detailed black-and-white technical patent drawings of the next-generation upgrades.
A complex, multi-panel prompt designed to visualize the invention and marketing of a new product by combining two concepts (or evolving one). It mandates a 2x2 grid structure, with each quadrant requiring a distinct visual style: technical line art (Exploded Patent View), schematic diagram (Functional Diagram), photorealistic render (Product Render), and editorial layout (Marketing Pitch). The prompt acts as an industrial designer, focusing on cohesion between the panels and a minimalist, consumer electronics aesthetic.
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Exponential Interactive, Inc d/b/a VDX.tv
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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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