提示词库 · 信息图 · 信息图 GPT Image 2 提示词:Comprehensive Anime Character Reference Sheet
信息图 GPT Image 2 提示词:Comprehensive Anime Character Reference Sheet
信息图 角色设定 故事叙事

信息图 GPT Image 2 提示词:Comprehensive Anime Character Reference Sheet

Generates a highly detailed, multi-panel character design document including turnarounds, expressions, color palettes, and outfit breakdowns.
场景
信息图 / 角色设定 / 故事叙事
模型
GPT Image 2
语言
中文

📝 提示词

{ "type": "anime character design reference sheet", "header": "{argument name="document title" default="❖ キャラクター設定資料 ❖"}", "character": { "description": "{argument name="character description" default="anime girl with long twin tails"}", "hair_color": "{argument name="hair color" default="light blue"}", "eye_color": "{argument name="eye color" default="blue"}", "outfit": "{argument name="outfit style" default="beige cardigan, white shirt, blue tie, grey plaid skirt, blue socks, black loafers"}" }, "layout": { "left_column": { "title": "三面図", "description": "Height chart (0cm-160cm) with full-body poses", "count": 3, "labels": ["正面", "側面", "背面"] }, "bottom_left_grid": { "title": "服装の詳細", "description": "Grid of individual clothing items with text and fabric textures", "count": 6, "labels": ["シャツ", "ネクタイ", "カーディガン", "スカート", "靴下", "靴"] }, "top_right": { "title": "髪の特徴", "description": "Bullet points, headshots for hair angles, and ribbon detail", "count": 3, "labels": ["前髪・アホ毛の形状", "サイド", "後ろ (リボンの構造)"] }, "middle_right_color_bar": { "title": "髪色の詳細", "description": "Horizontal color gradient bar", "count": 4, "labels": ["影", "ベース", "ハイライト", "強いハイライト"] }, "middle_right_eye": { "title": "目の特徴", "description": "Bullet points and close-up eye illustration", "count": 1, "labels": ["瞳のアップ"] }, "middle_right_palette": { "title": "全体の配色", "description": "Bullet points and circular color swatches", "count": 9, "labels": ["髪", "瞳", "リボン(表)", "リボン(裏)", "シャツ", "ネクタイ/靴下", "カーディガン", "スカート", "靴"] }, "bottom_right_expressions": { "title": "キャラクターの印象・設定イメージ", "description": "Expression headshots", "count": 3, "labels": ["笑顔", "怒り顔", "ドヤ顔"] } } }

🎯 适合场景

适合做图解、清单、路线图和知识长图:先锁定信息层级,再把文字量控制在模型能稳定处理的范围里。

💡 改写建议

  • 先替换变量里的品类、人物、城市、品牌色,不急着改整段结构。 把主体、构图和风格分开写,后续微调会更稳。
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