# GPT-Image-2 Industrial Prompt Templates: Complete Guide to All 21 Categories

> Explore 21 GPT-Image-2 industrial prompt templates for UI design, branding, products, and more. Get production-ready outputs with built-in guidelines.

- Repository: [苍何/awesome-gpt-image-2](https://github.com/freestylefly/awesome-gpt-image-2)
- Tags: getting-started
- Published: 2026-09-01

---

**GPT-Image-2 provides 21 industrial-grade prompt templates covering UI design, infographics, posters, products, branding, architecture, photography, illustration, characters, and narrative scenes—each with built-in "pitfalls-avoidance" guidelines for production-ready outputs.**

The `freestylefly/awesome-gpt-image-2` repository ships a curated **industrial prompt template system** (工业级提示词模板) that transforms rough concepts into structured, reproducible image-generation prompts. These templates live in [[`docs/templates.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/docs/templates.md)](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/docs/templates.md) and are designed for API-driven agents, batch workflows, and consistent commercial output.

## What Are Industrial Prompt Templates?

Industrial prompt templates in GPT-Image-2 are **pre-engineered prompt patterns** that encode domain expertise. Unlike ad-hoc prompts, each template specifies:

- **Input structure** – what variables to provide (product name, style keywords, constraints)
- **Output specification** – exact format, aspect ratio, fidelity requirements
- **Pitfalls-avoidance rules** – explicit negative constraints (防坑指南) that prevent common failure modes

The templates split into two formats: **plain-text** for direct UI use and **JSON-structured** for programmatic agents.

## All 21 Industrial Prompt Templates

Below are the complete GPT-Image-2 industrial prompt templates as documented in [`docs/templates.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/docs/templates.md).

### UI & Interface Templates (1–4)

| # | Template | Core Pattern |

|---|----------|--------------|
| 1 | **UI & Interface** | `为[product_type]生成一张[platform]界面图。核心功能：[features]。视觉风格：[style]。布局：[layout]。输出：[constraints]` |
| 2 | **JSON Advanced UI** | Structured JSON with `type: "UI Screenshot"`, `platform`, `product`, `layout`, `style`, `content`, `constraints` |
| 3 | **Screenshot Generation** | `生成一张[platform]内容截图，[mode]模式。核心内容：[elements]。约束：文字必须准确显示指定的[language]` |
| 4 | **Live Stream Interface** | `生成一张[platform]直播界面截图。主播[streamer_info]。背景[background]。UI叠加层：[overlays]。约束：文字清晰、弹幕合理、界面不遮挡主播` |

### Infographic & Visualization Templates (5–6)

| # | Template | Core Pattern |

|---|----------|--------------|
| 5 | **Infographic & Visualization** | `生成[topic]信息图，目标读者为[audience]。结构：标题区 + 3-5模块（图标、短标题、说明）。输出：层级清晰、可读性高的[language]信息图` |
| 6 | **JSON Advanced Infographic** | JSON with `type: "Infographic"`, `topic`, `audience`, `structure`, `style`, `constraints` |

### Poster & Typography Templates (7–12)

| # | Template | Core Pattern |

|---|----------|--------------|
| 7 | **Poster & Layout** | `设计一张[category]海报，主题为[theme]。主视觉[visual]。版式[layout]。色彩[color]。氛围[mood]。输出：高分辨率社媒海报` |
| 8 | **Sports Campaign Poster** | `设计一张[sport]商业Campaign海报。主体[subject]。视觉风格[style]。约束：主体清晰，文字可读，色调统一` |
| 9 | **Conceptual Typography Poster** | `Create ONE finished premium conceptual typography poster for the exact title: "[title]". Single poster only, no alternatives, no moodboard` |
| 10 | **Multi-Style Signature Selection Poster** | `基于姓名自动生成9:16竖版多风格签名选择海报，提供6种签名方案（极简、狂放、松弛、东方行草、锋利、实验）` |
| 11 | **Single Signature Extraction** | `从输入图的[location]签名里，提取核心笔势，生成纯签名图。约束：只保留签名主体，背景纯白，墨色深黑` |
| 12 | **Signature Practice Breakdown** | `基于输入的签名图，生成签名练习拆解图，包含8-12步骤、笔画箭头、起止点标注` |

### Product & E-Commerce Templates (13–14)

| # | Template | Core Pattern |

|---|----------|--------------|
| 13 | **Product & E-Commerce** | `生成[product_name]电商主图，卖点为[selling_points]。场景[scene]。附加元素[elements]。输出：电商平台可直接使用的商品展示图` |
| 14 | **Beauty Product Recommendation Report** | `基于用户自拍与品牌，生成竖版口红推荐报告信息图，包含肤色分析、气质匹配、试色矩阵、品牌调性` |

### Brand & Logo Templates (15–16)

| # | Template | Core Pattern |

|---|----------|--------------|
| 15 | **Brand & Logo** | `为[brand_name]设计品牌视觉方案。关键词[keywords]。包含Logo方向、配色、字体、应用示意` |
| 16 | **Complete Brand Identity Package** | `生成3-5个Logo方向、配色系统、字体系统、应用触点（名片、App图标等）以及品牌规则文档` |

### Visual Production Templates (17–21)

| # | Template | Core Pattern |

|---|----------|--------------|
| 17 | **Architecture & Spatial Design** | `生成[space_type]设计效果图，功能定位为[function]。风格[style]。材质[materials]。输出：写实建筑空间渲染图` |
| 18 | **Photography & Realism** | `拍摄主题[subject]。场景[scene]。摄影参数风格[params]。光线[lighting]。输出：高写实摄影风格图像` |
| 19 | **Illustration & Art** | `创作[theme]插画，主角为[character]。画风[style]。配色[palette]。输出：高质量插画` |
| 20 | **Character & Role Design** | `设计[role_identity]角色设定图。外观[appearance]、性格[personality]、姿态[pose]、世界观[worldview]、标志性元素[signature_items]。输出：角色主视图` |
| 21 | **Scene & Narrative** | `生成[story_theme]场景图，发生在[time_location]。主事件[event]。主角[protagonist]。镜头语言[camera_language]。氛围[atmosphere]。输出：具备叙事张力的场景概念图` |

## Template Variants: Plain-Text vs. JSON

Each industrial prompt template offers two implementation variants.

**Plain-text template** – paste directly into GPT-Image-2:

```text
为电商购物APP生成一张iOS界面图。
核心功能：商品搜索、购物车、支付。
视觉风格：极简，主色蓝色，强调色橙色。
布局：顶部导航 + 卡片流，信息层级清晰，留白充足。
输出：高保真UI截图，文字清晰可读，比例9:16。

```

**JSON template** – for agent programmatic control:

```json
{
  "type": "UI Screenshot",
  "platform": "iOS",
  "product": "E-commerce Shopping App",
  "layout": "Card-based feed with bottom tab bar",
  "style": {
    "theme": "Minimalist",
    "primary_color": "Blue",
    "accent_color": "Orange",
    "typography": "Clean sans-serif"
  },
  "content": {
    "header": "Search, Cart, Checkout",
    "cards": [
      {"title": "Featured Product", "image": "url", "price": "$99"},
      {"title": "New Arrival", "image": "url", "price": "$59"}
    ]
  },
  "constraints": "High fidelity, readable text, 9:16 aspect ratio"
}

```

## Pitfalls-Avoidance Guidelines (防坑指南)

Every industrial prompt template includes a **pitfalls-avoidance section** that specifies what the model must **not** do. Common rules across templates:

- **Text accuracy** – Chinese characters must display exactly as specified, no placeholder gibberish
- **No moodboards** – output finished production assets, not reference collections
- **Single output** – one definitive result unless explicitly requesting variants
- **Clear hierarchy** – no visually cluttered or ambiguous compositions
- **Proper aspect ratio** – strict enforcement of 9:16, 16:9, 1:1, etc.

These constraints are encoded in both the plain-text `约束` clauses and JSON `constraints` fields.

## Repository Structure for Template Access

| File Path | Purpose |
|-----------|---------|
| [`docs/templates.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/docs/templates.md) | Master documentation of all 21 industrial prompt templates with full patterns and pitfalls-avoidance guides |
| [`agents/skills/gpt-image-2-style-library/SKILL.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/SKILL.md) | Agent skill definition for template selection and rendering |
| [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) | Structured machine-readable template data |
| [`README.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/README.md) | Project overview and quick-start links |

## Summary

- **GPT-Image-2 ships 21 industrial prompt templates** spanning UI, infographics, posters, typography, products, branding, architecture, photography, illustration, characters, and narrative scenes
- **Two formats per template**: plain-text for manual use, JSON for programmatic agents
- **Built-in pitfalls-avoidance** ensures production-ready, reproducible outputs without common failure modes
- **Primary source**: [`docs/templates.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/docs/templates.md) in `freestylefly/awesome-gpt-image-2`

## Frequently Asked Questions

### What makes these templates "industrial-grade"?

The GPT-Image-2 industrial prompt templates are engineered for **reproducibility and scale**. They include explicit input schemas, output specifications, and negative constraints (pitfalls-avoidance) that prevent the ambiguous, inconsistent results typical of ad-hoc prompting. This makes them suitable for API-driven batch generation and commercial workflows.

### How do I use the JSON template variants?

Parse [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) or construct the JSON structure shown in each template's "JSON Advanced" section. Pass this to GPT-Image-2 through the API or agent framework described in [`agents/skills/gpt-image-2-style-library/SKILL.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/agents/skills/gpt-image-2-style-library/SKILL.md). The JSON format enables dynamic variable substitution and automated template selection.

### Where can I find examples for a specific template category?

Each of the 21 templates in [`docs/templates.md`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/docs/templates.md) includes a **complete working example** with all variables filled. The examples demonstrate both the plain-text and JSON formats where applicable. Copy the example, replace the bracketed placeholders with your values, and execute.

### Can I modify these templates for custom use cases?

Yes. The templates are documented as **patterns** with clear variable slots (marked with `[brackets]`). Modify the `constraints` section to adjust aspect ratios, fidelity requirements, or platform specifications. For systematic customization, fork the repository and edit [`data/style-library.json`](https://github.com/freestylefly/awesome-gpt-image-2/blob/main/data/style-library.json) to add new template variants.