Crane's Gratitude: Snowy Folklore Manga Poster AI Image Prompt
Japanese folktale manga-style poster, dramatic watercolor anime illustration with inked outlines, vintage storybook poster design, soft snowy atmosphere, vertical three-panel layout with black panel borders. Theme: kindness, winter, folklore, gratitude. Text: top header '日本の昔話', main title '{argument name="title text" default="鶴の恩返し"}', subtitle 'やさしさが運んだ、ふしぎな物語'. Scene: winter, heavy falling snow, snow-covered field with distant tree line, pale blue-gray sky, bare winter trees at right edge, uneven snowdrifts and sparse grasses. Top panel: large title-dominant cover image over snowy landscape, narration box '雪の日に始まった、ふしぎな出会い——', background detail: a single small crane standing in snowy distance near center-right. Middle panel: caption 'その先にいたのは、傷ついた一羽の鶴。', characters: boy (young Japanese boy in rustic old-fashioned village clothing, messy short black hair, brown kimono-style outer robe, blue inner layer and sash, running urgently from left with one hand reaching forward) and red-crowned crane (white body, black neck and tail accents, one wing raised, trapped in rope net spread across snow), speech bubble 'たいへんだ!', sound effect 'バサッ'. Bottom panel: caption 'この小さな親切が、運命を変える。', characters: same boy kneeling and loosening net carefully, crane calmer with wings partially lifted, luminous feathers, speech bubble 'もう大丈夫だ 空へお帰り', sound effect 'ふわ'. Color palette: primary indigo blue, snow white, soft gray, muted brown; accents crane crown red, subtitle red, sound effect blue. Rendering: highly polished illustration, elegant Japanese calligraphy for main title, readable printed Japanese text in captions and speech balloons, cinematic contrast between white snow and deep blue lettering.
Content: Japanese folktale manga-style poster with three vertical panels: top panel title+snowy landscape, middle panel boy rescuing crane (with dialogue and sound effect), bottom panel boy untying net and crane glowing. Includes scene, characters, text, color palette, rendering specs.
Pros: Clear structure with detailed panel descriptions; explicit color and rendering requirements.
Cons: Overly detailed may limit AI freedom; reliance on default parameters may affect outcome.
Reference image: No obvious reference-image dependency
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