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Image prompt Food & Drink Customizable

Giant Bell Pepper Cross-Section Breakfast Scene Image

A glistening bell pepper cross-section fills the frame like a natural archway, with water droplets beaded on its skin and tiny diners seated at its base. The scale contrast makes a simple morning greeting feel bright and playful.

Model
GPT Image 2
Type
4 images
Aspect ratio
16:9
Shared
3 Jul 2026
Likes on X
119
Make it yoursSwap in your own details: 2 blanks to fill

VegetableGreeting text

Image prompt

2,517 characters

Around any theme object, generate a refined photographic image with a "giant-object staging" visual mechanism: the theme object, as a close-up main form, occupies both sides and the depth of the frame, boldly cropped, forming — like a tall natural structure — a foreground portal, background layers, and a walkable space; at the bottom, place tiny theme-derived scale cues so the main form looks grand yet intimate, creating a striking contrast at first glance. The surface keeps clear texture, edge thickness, tiny water droplets or transparent highlights; light passes through the material from behind and the side, producing moist, clear, lively detail; below there may be shallow water or a highly reflective base that faintly mirrors the object, scale cues, and shadows, enhancing immersion. The background keeps clean shadows and softened layers; foreground and background are separated by shallow depth of field, with the main form's contour and surface grain the sharpest. Colors are drawn from the theme's own material, mood, and usage context, keeping a large clean primary color as the visual subject, dark background and shadows providing structure, and a small amount of high-brightness accent color concentrated on scale cues or information nodes; overall bright, clear, moist, and vibrant, with clear gradation and controlled saturation, no gray-dirty, aged, or smoky treatment. If text is added, it appears only as a concise information layer and rhythm marker, in white or a theme-derived high-contrast information color, clean font, ample white space, kept slightly apart from the main form, forming three reading layers: photographic subject, miniature scale, and typographic information. —————— Cover content: giant bell pepper cross-section + crystalline water droplets + miniature dining figures + urban good-morning greeting Usage: social good-morning image + social media promo image Warm palette: tomato red + milky-white highlight + warm orange reflection + bright, lively saturation Composition: a single cross-section subject in imposing close-up + blank information area on the right + shallow-water foreground reflection Vertical 16:9 —————— Generate 10 images in sequence, each with a different theme (city and vegetable) variation logic from the above, plus different palette and hue logic. No serial numbers; like PPT slides, generate 10 while ensuring layout differences between them, ratio 16:9. Special emphasis: the city and vegetable/fruit logic must be different in each one!

How to use it

It was shared as a GPT Image 2 prompt. Swap the vegetable for another cross-section such as a citrus slice or a cucumber, and change the greeting line to suit your post. Keep the shallow water reflection, the back-lit translucent edges and the clean white space, since those carry the look. Works well as a social good-morning post or a promo banner.

#Photorealistic#Social Media#Advertising#Text in Image#Food#Miniature & Diorama

Shared publicly on X on 3 Jul 2026. All credit for this prompt and its result goes to its creator. Is this yours? Ask for an update or removal.

2,517 characters

Questions about this prompt

Which AI model was this prompt made with?

It was shared as a GPT Image 2 prompt, and the image on this page is the result the creator got with it. Other models can read the same text, but the result will look different.

Can I change the details in this prompt?

Yes. It has 2 parts you can swap: vegetable, greeting text. Open the prompt studio, fill them in and copy your version; anything you leave empty keeps the original wording.

Who made this prompt?

It was shared publicly on X by @xiaoxiaodong01 on 3 Jul 2026. The prompt and its result belong to them, and this page links to the original post.

More from @xiaoxiaodong01