Madeleine Technical Blueprint - Image 1

이미지 프롬프트

Madeleine Technical Blueprint

Transforms a reference photo of a madeleine into a white-on-blue engineering blueprint with labeled views, dimensions, scale, and notes.

모델
GPT Image 2 프롬프트
카테고리
인포그래픽 / 교육 시각자료
출처
내부 큐레이션
22 회 조회 0 회 복사 0 회 시도 클릭

전체 프롬프트

대상 모델에 바로 붙여넣고 입력 이미지에 맞게 조정하세요.

라이브러리로 돌아가기
Using the provided reference image as the subject, transform the madeleine into a clean technical blueprint drawing rather than a photo. Create a vertical engineering-sheet layout on a dark blue grid background with thin white linework, a double border, measurement arrows, labels, and schematic outlines that preserve the madeleine’s shell-like oval form.

Goal: Produce a blueprint titled {argument name="title text" default="MADELEINE"} with the subtitle {argument name="subtitle text" default="TECHNICAL BLUEPRINT"}.

Layout: Include exactly 4 technical drawing panels derived from the reference pastry: 1 large top view at the upper right, 1 side view centered below it, 1 front view at the lower left, and 1 boxed detail inset at the lower right showing the shell rib pattern. Use white contour lines and dashed internal rib lines.

Technical text: Add a specification block at upper left with exactly 4 rows: TYPE: {argument name="type label" default="Small Shell Cake"}, ORIGIN: {argument name="origin label" default="France"}, SHAPE: Ovoid / Shell, UNITS: Millimeters.

Measurements: Add dimension lines and numeric labels matching a blueprint: top view width 75 and height 45, side view height 22, front view width 45 and height 22. Add a bottom-left scale ruler labeled SCALE with marks 0, 10, 20, 30, 40, 50 mm.

Additional elements: Add the inset label “DETAIL A” and “SHELL RIB PATTERN”. Add a notes box at the bottom right with exactly 2 notes: “1. All dimensions are approximate.” and “2. Typical madeleine proportions may vary.”

Style constraints: Do not render the pastry as a realistic food photo; convert it fully into a white-on-blue technical schematic. Keep the blueprint crisp, precise, lightly hand-drawn at the outline edges, with no extra objects, no shadows, and no watermark.

출처 기록

저작권, 작성자, 전파 데이터를 검토할 수 있도록 원본 출처를 보존합니다.

GitHub 출처:YouMind-OpenLab/gpt-image-2-prompts-search

이 페이지는 YouMind OpenLab GitHub 오픈소스 프롬프트 라이브러리를 바탕으로 재정리했습니다. 라이선스: MIT。