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GoodCase.ai · AI Prompt Case Collection
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Vintage Travel Journal Collage

Vintage Travel Journal Collage

Creator · aniyaintel

AI ImageX2026-08-29Added 09/11/2026Independently retestedNano Banana Pro
View original source ↗
Source ♥ 150

Prompt

Create a premium vintage Japanese travel-journal editorial collage in vertical 4:5 format, featuring four distinct city sections—{argument name="locations" default="Bangkok, Thailand; Lisbon, Portugal; Marrakech, Morocco; Istanbul, Turkey"}. Each section combines a warm photorealistic documentary street photograph with a matching imperfect hand-drawn screen-print illustration, arranged asymmetrically on aged cream paper with torn-paper layers, archival borders, subtle pencil marks, typewriter captions, faded ink, paper fibers, and authentic 35mm analog grain. Bangkok: shrine, tangled wires, tropical greenery, teal motorbike; Lisbon: yellow tram, steep cobblestone street, balconies and river view; Marrakech: terracotta medina, palms, rugs and ornate minaret; Istanbul: steep stone street, Galata Tower, Bosphorus and vintage scooter. Use a restrained palette of sage, ochre, terracotta, mustard, charcoal and warm ivory, with sophisticated editorial art direction, muted contrast, natural light, handmade imperfections, and museum-quality travel-zine aesthetics. Small archival labels: “Bangkok / Field Note 052”, “Lisbon / Field Note 031”, “Marrakech / Field Note 017”, “Istanbul / Field Note 039”. No logos, watermark, HDR, oversaturation, or modern clutter.
≡Provenance · verifiedPublished prompts are human-checked against the original post; platform-reconstructed prompts are not accepted.Compare with source ↗

Models & stability

Recommended models

Nano Banana Pro
Stability
65 / 100
Cost
Medium
Related SkillsPoster information hierarchy ↗

Independent retest evidence

See what the same prompt generated in our test.

Retest output · not the creator's original
ImageGenerated evidenceAI judged

Grok Imagine

Sep 18, 2026

Retest score65
Generated retest result
claude-sonnet-5 · 56gpt-5.6-sol · 74.1gap · 18.1
  • Cross-model retest: the recommended model is Nano Banana Pro, and this run used Grok Imagine. The result shows how the same prompt carries over to Grok Imagine; it does not show what the creator got with the original model.
  • The retest score is the mean of two AI judges (0–100) for this single generation. No person has reviewed it, and it is not a success rate.

The requested model is recorded, but the generation receipt did not expose a verifiable underlying model ID.

Keep exploring

Explore related cases.

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Two-Part Poster with Color Photo and Line Art on Ivory Paper
AI ImageXAdded 11/03/2026

Two-Part Poster with Color Photo and Line Art on Ivory Paper

Made with Nano Banana Prompt: Transform the provided reference photograph into a sophisticated, premium editorial art poster while preserving the original subje…

Skill · Character and style consistencySkill · Poster information hierarchy

Prompt

Transform the provided reference photograph into a sophisticated, premium editorial art poster while preserving the original subject exactly as shown. Composition: Create a vertical 4:5 editorial la…

Source heat · X
50
Stability
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Milkshake Product Infographic
AI ImageXAdded 09/11/2026

Milkshake Product Infographic

An exploded-view infographic prompt for a premium drink, showing layered ingredients with professional studio lighting and texture.

Skill · Product studio visualSkill · Poster information hierarchy

Prompt

A high-quality professional product photograph of a premium {argument name="flavor" default="strawberry"} milkshake served in a tall transparent glass, centered against a soft {arg

Source heat · X
22
Stability
87
View case →
Superhero Soda Promotional Posters
AI ImageXAdded 08/19/2026

Superhero Soda Promotional Posters

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Skill · Poster information hierarchy

Prompt

[ { "concept_id": "iron_man_coke", "visual_breakdown": { "focus_object": "{argument name="brand" default="Coca-Cola Can"}", "character_element": "{argument na

Source heat · X
15
Stability
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Each detail page keeps the original result, the prompt, and retest evidence in one reading path.