Vintage Teppan Meal Specimen Chart — Sora 2 Prompt
Transforms a sizzling-plate meal photo into a hand-illustrated vintage scientific specimen chart with Traditional Chinese labels, inset studies, and precise callouts.

Using REFERENCE_0 as the food subject, transform the photo into a refined vintage scientific specimen plate / illustrated food diagram on a clean off-white paper background. Preserve the same sizzling-plate meal components and overall arrangement, but redraw them as detailed hand-colored botanical/culinary field-guide illustrations with ink outlines, watercolor texture, subtle paper grain, and precise diagram callouts. Add a centered Traditional Chinese title argmain title: 鐵板標本圖鑑, a subtitle argsubtitle: 香煎雞腿排・荷包蛋・青花菜・蘑菇醬鐵板麵, and small plate-number typography in the top corners. Create exactly 4 numbered annotation sections around the main dish: I. 香煎雞腿排, II. 青花菜, III. 蘑菇醬鐵板麵, IV. 荷包蛋, each with short Traditional Chinese explanatory text and dotted leader lines pointing to the corresponding ingredient. Add exactly 4 square letter markers on the dish and legend: A 香煎雞腿排, B 青花菜, C 荷包蛋, D 蘑菇醬鐵板麵. Include exactly 6 supplemental illustrations/insets: a close-up of the seared chicken surface, a broccoli specimen with approximate size marks, a noodle close-up, a fried egg close-up, a small skillet of mushroom cream sauce, and a low side-view cross-section of the entire plated meal. Add two small boxed notes near the bottom, one legend box and one observation note box, plus footer text including argobserver: 美食愛好者, argobservation date: 2024 年, and arglocation: 臺灣・日常餐桌. Keep the composition poster-like, balanced, educational, appetizing, and more polished than the original photo.
О промпте
Transforms a sizzling-plate meal photo into a hand-illustrated vintage scientific specimen chart with Traditional Chinese labels, inset studies, and precise callouts. Use it as a Концепт-арт starting point for GPT Image 2: keep the visual structure and style constraints intact, then swap in your own subject, brand, or scene.
Start by replacing main title, subtitle, observer, and observation date, then keep the camera, composition, and material cues in the same order. This makes the output easier to compare across variations.
Как использовать этот промпт
- Copy this prompt into Sora 2, Runway Gen-4, or another compatible AI video/image model.
- Upload your reference food photo as
REFERENCE_0. - Customize the
{argument}variables: main title, subtitle, observer name, date, and location. - Adjust ingredient names or annotation counts if your meal differs.
- Generate and refine — iterate on style keywords like "watercolor texture" or "ink outlines" to taste.



