GPT Image 2

Laundry Balcony Vocabulary Journal

Generates a realistic laundry balcony photo annotated with six handwritten English vocabulary labels and example sentences for visual language learning.

Prompt text

Original English text. Replace placeholders with your own details.

{
 "type": "photo-based visual English vocabulary journal page",
 "source_scene": "a realistic vertical smartphone photo of a small apartment laundry balcony in soft daylight, seen from the doorway, with tall barred windows on the left, neighboring buildings visible outside, a metal drying rack with hanging clothes in the middle, a washing machine on the right with a potted green plant on top, a full perforated laundry basket at lower left, pink house slippers on the floor near the bottom, and gray tiled floor and beige wall cabinets",
 "style": "keep the original photo realistic and natural, then overlay cute handwritten study notes in white ink, with hand-drawn arrows, outlines, sparkles, curved brackets, and underline doodles; casual scrapbook / language-learning diary aesthetic; clean readable typography with subtle shadow for contrast",
 "format": {
 "orientation": "vertical 9:16 smartphone poster",
 "composition": "overlay labels directly beside the corresponding objects without blocking the scene; use white marker-like text and doodles"
 },
 "vocabulary_overlay": {
 "headline": "no main headline, only numbered vocabulary labels placed around the image",
 "count": 6,
 "items": [
 {
 "number": 1,
 "word": "{argument name=\"word 1\" default=\"window\"}",
 "example_sentence": "{argument name=\"sentence 1\" default=\"I open the window.\"}",
 "target_object": "large window panes and metal window bars in the upper left and center",
 "placement": "upper center-right near the window",
 "doodles": "curved arrow pointing left toward the window, small emphasis lines, short underline beneath the sentence"
 },
 {
 "number": 2,
 "word": "{argument name=\"word 2\" default=\"shirt\"}",
 "example_sentence": "{argument name=\"sentence 2\" default=\"This shirt is clean.\"}",
 "target_object": "light blue shirt hanging from the drying rack on a hanger",
 "placement": "lower left-middle beside the hanging shirt",
 "doodles": "white outline tracing the shirt edge, arrow pointing to the shirt, small sparkle"
 },
 {
 "number": 3,
 "word": "towel",
 "example_sentence": "The towel is dry.",
 "target_object": "gray towel draped over the metal drying rack",
 "placement": "middle right below the towel",
 "doodles": "upward arrow pointing to the towel and a simple underline"
 },
 {
 "number": 4,
 "word": "basket",
 "example_sentence": "The basket is full.",
 "target_object": "round plastic laundry basket filled with clothes at the lower left",
 "placement": "lower left-center beside the basket",
 "doodles": "white outline around the basket rim and side, arrow pointing to the basket, small emphasis strokes, underline"
 },
 {
 "number": 5,
 "word": "slippers",
 "example_sentence": "My slippers are here.",
 "target_object": "pair of pale pink slide slippers on the floor near the bottom",
 "placement": "bottom center-right above the slippers",
 "doodles": "white outline around both slippers, curved arrow pointing to them, small sparkle, underline"
 },
 {
 "number": 6,
 "word": "plant",
 "example_sentence": "The plant is green.",
 "target_object": "green potted plant on top of the washing machine",
 "placement": "upper right beside the plant",
 "doodles": "white outline around leaves and pot, arrows circling the plant, sparkles"
 }
 ]
 },
 "text_rendering": "Use clear white handwritten lettering with bold vocabulary words and smaller example sentences. Number each item exactly as shown from 1 to 6. Add playful notebook-style marks but keep all text legible.",
 "lighting_and_mood": "bright overcast daylight, cozy everyday home atmosphere, candid photo realism combined with charming study-note annotation"
}

Source & attribution

Larus Canus · Awesome GPT Image 2

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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