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Annotated Japanese Breakfast Flat Lay preview image
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Annotated Japanese Breakfast Flat Lay

A cozy photorealistic morning breakfast flat lay with handwritten Japanese annotations, ideal for social posts or lifestyle blog visuals.

This is a GPT Image 2 prompt case for Food & Beverage. Use the copy-ready prompt below to generate similar visuals, and review Awesome GPT Image 2 Prompts attribution plus commercial-use rights before reuse.

Need the full prompt set? Use the Food & Beverage topic hub for more related examples, or open the GPT Image 2 prompt library for the full example index, reusable structures, and source attribution.
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Prompt

Copy-ready prompt

Goal: Create a cozy overhead breakfast flat-lay photo with handwritten Japanese diary-style annotations, as if made for a warm morning social media post. The scene should feel realistic, softly edited, and slightly nostalgic.

Canvas: Wide 16:9 landscape image, about 1024×576. Use a brown-and-white gingham tablecloth covering the full background, with soft morning light, gentle shadows, and a slightly warm film-like tone.

Main layout: Place exactly 2 main food/drink areas. On the left, a decorative red-and-white porcelain teacup filled with black coffee sits on a matching saucer. On the right, a large white square plate holds the breakfast foods. Leave darkened negative space in the upper left for the title handwriting.

Food and object count: Include exactly 7 visible breakfast items/props on the plate area: 1 stack of toasted bread slices, 1 partly peeled ripe banana, 1 small mound of granola, 1 clear glass bowl of pale yellow apple compote with 1 dark prune on top, 1 brown egg, 1 small wooden egg cup or wooden coaster behind the egg, and 1 white square plate. The toast should be the visual center of the plate, with golden toasted surfaces and thick white bread edges. The banana should be at the upper left of the plate. The egg should be at the upper right. The glass bowl should be at the lower right. The granola should sit between the toast and bowl.

Handwritten text and annotation count: Add exactly 9 handwritten annotation groups in white/black ink, with arrows, circles, small hearts, sparkles, and doodles. Preserve the Japanese text as decorative handwriting:
1. Large title at top left: 「わたしの整う朝ごはん。」
2. Subtitle under title: 「シンプルだけど、ちゃんと満たされる。」
3. Circular note near coffee: 「今日も はじまりは 深い一杯から。」
4. Small note below coffee: 「ほっと息をつく、大切な時間。」
5. Torn-paper sticky note at bottom left with pink tape: 「朝の光を浴びて、心もからだも ゆっくり目覚めていく。」
6. Note above banana with arrow: 「完熟バナナで やさしい甘みを チャージ。」
7. Bubble note beside egg: 「たんぱく質で 1日を すっきり スタート!」
8. Note near toast with arrow: 「サクッと焼けた トーストが 一番のごちそう。」
9. Lower-right notes around granola, compote, and overall feeling: 「ザクザクのグラノーラで 食感と栄養をプラス。」, 「りんごとプルーンで 自然な甘さを からだにやさしく。」, and 「ちゃんと食べると、心までふんわり軽くなる。」

Visual style: Photorealistic breakfast photography mixed with casual hand-drawn overlay graphics. Use white ink for most handwriting, black ink for food labels on the plate, dotted speech bubbles, curved arrows, tiny stars, small hearts, and playful underline marks. The typography should look hand-lettered, not digital. Make the annotations readable but naturally imperfect.

Customizable elements: The title should read {argument name="headline text" default="わたしの整う朝ごはん。"}; the drink should be {argument name="morning drink" default="black coffee in a red porcelain teacup"}; the main breakfast should feature {argument name="main breakfast food" default="thick golden toast"}; the fruit should be {argument name="fruit item" default="ripe banana and apple compote with prune"}; the overall mood should be {argument name="mood" default="gentle, cozy, mindful morning"}.

Constraints: Keep the composition clean and appetizing, do not add extra foods beyond the counted items, do not add people or hands, avoid logos or watermarks, and keep the Japanese handwriting integrated into the image like a real edited breakfast journal photo.

Prompt variables

Editable argument placeholders found in the prompt, with their default values.

5
Variable
headline text
Default
わたしの整う朝ごはん。
Variable
morning drink
Default
black coffee in a red porcelain teacup
Variable
main breakfast food
Default
thick golden toast
Variable
fruit item
Default
ripe banana and apple compote with prune
Variable
mood
Default
gentle, cozy, mindful morning

Best for

  • - Food & Beverage visual exploration
  • - Image generation and reference-image edits
  • - Reusable briefs that keep source attribution visible

Change these parts

  • - Subject, product, character, or scene
  • - Aspect ratio, camera, lighting, and background
  • - Brand, text, color, and output constraints

Recommended model and settings

  • - Model: gpt-image-2
  • - Input mode: Text to Image
  • - Aspect ratio: source
  • - Commercial status: review original source

How to use this prompt

  1. 1. Copy the prompt and preserve its structure for the first test.
  2. 2. Replace the subject, context, and publishing channel.
  3. 3. Change one camera, lighting, or style variable per iteration.
  4. 4. Inspect the output, source, text, and rights before reuse.

Limitations, source, and reuse cautions

  • - Generated output is an editable draft, not factual, legal, or rights evidence.
  • - Review the linked source, people, brands, logos, text, and third-party media before commercial use.
Imported from Awesome GPT Image 2 Prompts. Attribution is required. Commercial-use status is allowed; review source rights before paid usage.

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Reuse and source notes

Use this prompt safely after previewing the case.

  1. 1.Copy the prompt or open it directly in Dovoo with the generation button.
  2. 2.Adjust variables, aspect ratio, and reference images for your own use case.
  3. 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.

Can I use this prompt commercially?

Commercial-use status is allowed. Review the original source, license, brand constraints, and legal requirements before paid usage.

Where does this case come from?

This case is imported from Awesome GPT Image 2 Prompts; keep attribution visible and check the source URL before reuse.

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