18-Panel Mascot Brand Identity Document
Logo 与品牌

18-Panel Mascot Brand Identity Document

{ "type": "18-panel brand identity and character design document", "brand": { "name": "{argument name=\"brand name\" default=\"沐阳 MUYANG TEA\"}", "industry": "{argument name=\"industry\" default=\"tea shop\"}", "colors"…

提示词

{ "type": "18-panel brand identity and character design document", "brand": { "name": "{argument name=\"brand name\" default=\"沐阳 MUYANG TEA\"}", "industry": "{argument name=\"industry\" default=\"tea shop\"}", "colors": ["{argument name=\"primary color\" default=\"yellow\"}", "{argument name=\"secondary color\" default=\"green\"}", "white", "brown", "dark green"] }, "subject": "{argument name=\"character description\" default=\"3D rendered cute Shiba Inu mascot wearing a green apron\"}", "layout": { "grid": "3 columns by 6 rows", "sections": [ { "title": "01 品牌DNA分析 / BRAND DNA ANALYSIS", "elements": ["logo", "5 color swatches", "6 icons", "target audience charts"] }, { "title": "02 概念构思 / CONCEPT MOODBOARD", "elements": ["5 photo references", "4 mood icons", "design equation"] }, { "title": "03 形态研究 / FORM STUDY", "elements": ["4 logo anatomy icons", "4 evolution steps", "4 silhouettes"] }, { "title": "04 概念探索 / CONCEPT EXPLORATION", "elements": ["12 line-art character sketches"] }, { "title": "05 精细线稿 / REFINED LINE ART", "elements": ["3 rows of front and side line art with proportion guides"] }, { "title": "06 细节精修 / DETAIL REFINEMENT", "elements": ["2 full-body renders with labels", "4 circular close-ups"] }, { "title": "07 表情设定 / EXPRESSION SHEET", "elements": ["11 3D rendered head expressions"] }, { "title": "08 姿势库 / POSE LIBRARY", "elements": ["9 full-body 3D rendered poses"] }, { "title": "09 转身视图 / TURNAROUND VIEW", "elements": ["5 full-body 3D renders", "5 matching line-art views"] }, { "title": "10 色彩开发 / COLOR DEVELOPMENT", "elements": ["5 rows of 5-color palettes", "color psychology text"] }, { "title": "11 材质规格 / MATERIAL SPECIFICATION", "elements": ["5 texture swatches", "property sliders", "4 manufacturing icons"] }, { "title": "12 色彩应用 / COLOR APPLICATION", "elements": ["4 color variant renders", "2 light/dark renders", "4 contrast rating circles"] }, { "title": "13 构造指南 / CONSTRUCTION GUIDE", "elements": ["2 line-art diagrams for geometry and grid"] }, { "title": "14 设计系统规则 / DESIGN SYSTEM RULES", "elements": ["minimum size icons", "clear space diagram", "4 usage examples"] }, { "title": "15 资产变体 / ASSET VARIANTS", "elements": ["3 size variants", "3 line-art variants", "3 simplified flat heads"] }, { "title": "16 数字应用 / DIGITAL APPLICATIONS", "elements": ["1 app icon", "2 social avatars", "UI elements", "3-step animation cycle"] }, { "title": "17 实物应用 / PHYSICAL APPLICATIONS", "elements": ["plush toy mockup", "packaging mockup", "merchandise mockup", "storefront mockup"] }, { "title": "18 最终主视觉 / FINAL RENDERING", "elements": ["large high-res 3D render of mascot holding tea", "logo", "file format list"] } ] } }

How to use this prompt

1
Review the full prompt

Read the complete 18-Panel Mascot Brand Identity Document prompt and identify the subject, style, camera, lighting, and composition requirements before generating.

2
Customize variables

Replace bracketed or argument-style placeholders with your product, character, brand, scene, color palette, or aspect ratio requirements.

3
Generate and iterate

Open https://www.gptimagehub.com/zh-CN/generate?promptId=cmogx4juy00elzpdy2kv4z2z2, generate the image, then refine the prompt with more specific subject, text, layout, or negative constraints if needed.

Prompt FAQ

What is the 18-Panel Mascot Brand Identity Document prompt best used for?

This prompt is best used for logo 与品牌 images where you want a reusable structure, detailed visual direction, and consistent output quality.

Can I edit the prompt before generating?

Yes. The full prompt text is visible on this page so you can change subjects, product names, colors, composition, camera terms, aspect ratio, and style notes before generation.

Which model should I use with this prompt?

Use the model shown in the prompt metadata as the default starting point. If another image model supports the same aspect ratio and instruction style, you can adapt the prompt and compare results.

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