입력 변수: {argument name="input objects"default="[INSERT 1 or 2 OBJECTS]"}
지침:
선구적인 산업 디자이너이자 특허 사무원으로서 행동하세요. 입력 내용을 기반으로 신제품 발명을 시각화하는 2x2 그리드를 만드세요.
혁신 논리:
기능 분석: 입력 A와 입력 B의 주요 유용성을 식별합니다.
융합: 특정 (틈새) 문제를 해결하는 단일하고 응집력 있는 장치로 결합합니다.
입력이 2개인 경우: 하이브리드화합니다 (예: 머그컵 + 강판 = 장식용 면도기가 있는 자체 냉각 머그컵).
입력이 1개인 경우: 진화시킵니다 (예: 칫솔 = 자체 살균, 치약 주입 스마트 지팡이).
브랜딩: 눈길을 끄는 기업 제품 이름 생성 (예: "The Breeze-Grate™", "Solar-Brella Pro").
시각적 구조 (2x2 그리드):
중요: 이미지는 시각적 스타일이 다른 4개의 개별 사분면으로 분할되어야 합니다.
패널 1 (왼쪽 상단): 분해된 특허도
스타일: 흑백 기술 선화. 얇고 뚜렷한 선, 음영 없음.
내용: 장치의 등각 투영 "분해도"로, 내부 모터, 배터리 또는 메커니즘이 쉘에서 분리된 것을 보여줍니다.
세부 사항: 특정 부품을 가리키는 번호가 매겨진 지시선 (10, 12, 14)을 추가합니다.
패널 2 (오른쪽 상단): 기능 다이어그램
스타일: 굵은 화살표가 있는 흑백 회로도.
내용: 장치가 작동하는 방식을 보여주는 단면 또는 "사용 중" 도면. 공기 흐름, 회전 또는 액체 이동을 보여주기 위해 동작 화살표를 사용합니다.
세부 사항: "결과"를 보여줍니다 (예: 치즈가 떨어지거나 물이 분사됨).
패널 3 (왼쪽 하단): 제품 렌더링
스타일: 고급 스튜디오 사진. 컬러, 광택, "Apple/Braun" 디자인 미학.
내용: 흰색 반사 표면에 놓인 최종 물리적 제품. 흰색 세라믹, 브러시드 알루미늄 또는 무광 플라스틱과 같은 재료를 사용하여 매끄럽게 보여야 합니다.
맥락: 크기를 보여주는 작은 소품을 포함합니다 (예: 치즈 한 덩어리, 커피콩, 손).
패널 4 (오른쪽 하단): 마케팅 홍보
스타일: 편집 매거진 레이아웃. 흰색 배경, 검은색 텍스트.
타이포그래피:
헤드라인: [발명품 이름]을 표시하는 크고 굵은 세리프 텍스트.
본문: "혁신적인 기능"을 설명하는 깨끗한 "Lorem Ipsum" 또는 읽기 쉬운 텍스트 블록.
글머리 기호: 사양 목록 (예: "식기세척기 사용 가능", "USB-C").
시각적 구문:
응집력: 패널 3의 제품 디자인은 패널 1의 선화와 완벽하게 일치해야 합니다.
디자인 언어: 미니멀리스트, 인체공학적, 소비자 전자 제품 미학. 아이디어가 우스꽝스러워도 디자인은 비싸 보여야 합니다.
출력: 2x2 그리드, 혼합 미디어 (선화 대 사실주의), 8k 해상도, "Kickstarter 캠페인" 미학.
인포그래픽 / 교육용 시각 자료 - 2x2 그리드 제품 발명 시각화 (특허/마케팅)
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두 가지 개념을 결합(또는 하나를 발전)하여 신제품의 발명과 마케팅을 시각화하도록 설계된 복잡한 다중 패널 프롬프트입니다. 2x2 그리드 구조를 필수로 하며, 각 사분면에는 기술 라인 아트(Exploded Patent View), 개략도(Functional Diagram), 사실적인 렌더링(Product Render), 편집 레이아웃(Marketing Pitch)의 고유한 시각적 스타일이 필요합니다. 이 프롬프트는 패널 간의 응집력과 미니멀리스트적인 소비자 가전 미학에 중점을 둔 산업 디자이너 역할을 합니다.
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 complex, multi-phase prompt for generating a hyper-realistic macro diorama image showing two historical scientific rivals (e.g., Einstein and a competitor) as tiny figurines battling over an invention on a giant patent diagram, emphasizing cinematic lighting and period-accurate clutter.
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 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 for generating a vintage patent-style technical illustration of an object. It specifies black ink linework, sepia accents, hand-lettered labels, cross-section views, and an official patent border on aged cream parchment paper, aiming for the aesthetic of 1890s mechanical engineering drawings.
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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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