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AI ImageGitHubEvidence L1#poster#pixel-style-poster#halftone#editorial#butterfly#entomology#reconstructed-prompt#verified-rerun#github#mit

Quiet Flight — Deep Teal Butterfly Poster

VGCreatorv92388375-gif →

GoodCase reconstructed this prompt from the public result image and the creator's MIT-licensed Skill method, then ran two independent generations without the source image or a fixed seed. Both runs preserved the oversized cropped butterfly, deep-teal single ink, bitmap engraving, editorial title, labels, paper texture, and 3:4 ratio. A/B stability: 9.3/10. This is not the creator's disclosed original prompt; the original model, seed, and exact prompt are unknown.

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Quiet Flight — Deep Teal Butterfly Poster

Prompt

GoodCase reconstructed prompt — derived from the public result image and the creator's public Skill method, then verified with two independent generations. This is not the creator's disclosed original prompt; the original model, seed, and exact prompt are unknown.

Use case: stylized-concept
Asset type: prompt-reconstruction stability test for a vertical editorial poster

Create a vertical 3:4 flat scanned-paper poster on pale cool ivory with faint blue-gray fibers and specks. Place one enormous butterfly across the lower two-thirds of the page: its body sits slightly right of center, the left wing extends toward the left edge, the right wings are dramatically cropped by the right edge, and the lower wing reaches near the bottom. Reserve the upper-left quadrant for a large two-line title, keeping the title close to the butterfly as one asymmetric editorial composition.

Render the butterfly entirely in one deep teal-blue ink using fine micro-dot halftone, tiny square-pixel mesh, entomological engraving detail, broken bitmap edges, missing-pixel gaps, and density-based shading. Preserve readable wing veins, spotted borders, antennae, body segments, and pale paper openings in the wings. Use small visible dots and aliased printed contours, never chunky blocks or smooth photographic gradients. Add subtle dot gain, faint risograph misregistration, low-resolution scan softness, paper fibers, and toner dust.

Render the exact title "Quiet Flight" once, very large in an elegant high-contrast italic Didone serif, stacked at the upper left. Add these exact small monospaced/typewriter captions once each with sparse dotted leader lines: "blue-green hour" at upper right, "wing study" beside the body, "soft motion" at lower left, and "07.25" near the bottom left. Add only a few tiny teal registration cross marks. No other readable text.

Mood: quiet blue-green hour, poetic entomology study, early-digital Japanese editorial print. Avoid retro game pixel art, chunky pixels, game sprites, cute butterfly sticker, cartoon mascot, watercolor, smooth vector gradients, glossy 3D, cinematic lighting, photorealistic scene, neon/cyberpunk, multiple bright colors, symmetrical centered logo layout, dense collage, extra insects, extra text, repeated labels, logos, watermark, UI, CTA, and mockup photography.

Reusable method

Key decisions

Check whether the subject, style, and material constraints all hold in the final result.

Adapt it to your subject

Extract “target result → the subject, scene, material, and color palette → constraints” as a reusable template for similar work.

Where it breaks

Run single-variable comparisons around subject description, style intensity, lighting, and material constraints. Record the model, cost, and failures; turn it into a Skill only after it repeats reliably.

Recommended models

待补充模型
Stability
93 / 100
Cost
Medium

Derived Skill

Reusable methods evidenced by this Case.

Skills are derived from repeated patterns in published cases. They are not a separate submission type.

Creator methodv92388375-gif · Poster information hierarchyView evidence →Shared skillPoster information hierarchyView evidence →Shared skillEditorial portrait compositionView evidence →
VG

Creator

v92388375-gif

v92388375-gif focuses on AI image making and is active on GitHub. “Quiet Flight — Deep Teal Butterfly Poster” is the current representative case, built with 待补充模型 with a 86% stability reference.

Worth learningAI ImageStable output
View creator →

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