
Use the live site at gpt-image2.canghe.ai to browse the gallery as a product experience: open large previews, copy full prompts, filter by style or scenario, test generation after Google sign-in, and jump back to the source case on GitHub. Search 苍何 on WeChat or scan the QR card below. To join the GPT-Image2 community group, follow the account and reply with gpt-image-2交流群. After GPT-Image2 became widely available, AI image generation moved from "can it make an image?" to "can it make stable, controllable, reusable images?" This project turns scattered community examples into Prompt-as-Code assets that are easier for agents and automation workflows to reuse.
English | 简体中文
Updated irregularly with new workflows. Stars are welcome. This project is sponsored by Ciyuan API, an AI aggregation platform for cost-effective GPT Image 2 access.
Use the live site at gpt-image2.canghe.ai to browse the gallery as a product experience: open large previews, copy full prompts, filter by style or scenario, test generation after Google sign-in, and jump back to the source case on GitHub.
Search 苍何 on WeChat or scan the QR card below. To join the GPT-Image2 community group, follow the account and reply with gpt-image-2交流群.
Want to appear here? Support the project through GitHub Sponsors, or follow the WeChat official account above and send your product name plus a short sponsorship note.
After GPT-Image2 became widely available, AI image generation moved from "can it make an image?" to "can it make stable, controllable, reusable images?" This project turns scattered community examples into Prompt-as-Code assets that are easier for agents and automation workflows to reuse.
The core goal is simple: compress prose-style prompts into structured protocols. When you need batch generation, template systems, or production workflows, this structure is more valuable than a pile of isolated examples.
Start with the case album to find a visual direction, then open the prompt template categories to turn that direction into reusable structure.
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🧩 UI & Interfaces ![]() Apps, websites, dashboards, social screenshots, and product interfaces. View Cases |
📊 Charts & Infographics ![]() Infographics, knowledge maps, technical explainers, and structured diagrams. View Cases |
📰 Posters & Typography ![]() Event posters, covers, type-driven visuals, and strong layout compositions. View Cases |
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🛍️ Products & E-commerce ![]() Product shots, detail pages, packaging, selling points, and ads. View Cases |
🏷️ Brand & Logos ![]() Logos, identity systems, brand touchpoints, and campaign visuals. View Cases |
🏛️ Architecture & Spaces ![]() Architecture renders, interiors, city maps, and spatial concepts. View Cases |
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📷 Photography & Realism ![]() Portraits, phone photography, film texture, and commercial photography. View Cases |
🎨 Illustration & Art ![]() Illustration, art styles, material experiments, and decorative images. View Cases |
🧍 Characters & People ![]() Character design, pose references, cards, and 3D toys. View Cases |
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🎬 Scenes & Storytelling ![]() Storyboards, narrative scenes, livestream frames, and worldbuilding. View Cases |
🏮 History & Classical Chinese Themes ![]() Classical scrolls, historical figures, traditional themes, and poetry visuals. View Cases |
📚 Documents & Publishing ![]() White papers, manuals, encyclopedic plates, and publishing layouts. View Cases |
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🧪 Other Use Cases ![]() Creative experiments, special tasks, mixed workflows, and practical cases. View Cases |
🖼️ Full Gallery![]() Browse all 493 cases by gallery part and category. Open Gallery |
⭐ Latest Additions![]() The newest community cases and workflows collected in the repo. View Latest |
The prompt body remains in the original template document for now. This homepage only adds an English navigation layer.
| Category | Template Entry | Core Capability |
|---|---|---|
| 🧩 UI & Interfaces | View Prompts | Components, page hierarchy, screenshot texture |
| 📊 Charts & Infographics | View Prompts | Modules, arrows, data structure, readability |
| 📰 Posters & Typography | View Prompts | Layout, headline systems, people, visual impact |
| Category | Template Entry | Core Capability |
|---|---|---|
| 🛍️ Products & E-commerce | View Prompts | Product selling points, packaging, detail-page structure |
| 🏷️ Brand & Logos | View Prompts | Logos, identity, brand touchpoint systems |
| 🏛️ Architecture & Spaces | View Prompts | Perspective, materials, indoor and outdoor lighting |
| Category | Template Entry | Core Capability |
|---|---|---|
| 📷 Photography & Realism | View Prompts | Lenses, lighting, realistic textures |
| 🎨 Illustration & Art | View Prompts | Brushwork, materials, art styles |
| 🧍 Characters & People | View Prompts | Character design, pose sheets, consistency |
| Category | Template Entry | Core Capability |
|---|---|---|
| 🎬 Scenes & Storytelling | View Prompts | Storyboards, worldbuilding, emotional pacing |
| 🏮 History & Classical Chinese Themes | View Prompts | Dynasties, clothing, scroll-style narrative |
| 📚 Documents & Publishing | View Prompts | Page systems, tables of contents, layout rules |
| 🧪 Other Use Cases | View Prompts | Mixed tasks, experimental workflows, special outputs |
This repository includes an agent skill for choosing GPT-Image2 styles, templates, categories, and scene tags from the same data used by the website.
Package links: npm / GitHub Packages
Example output from a city-life-system-map request using the style library skill.
Recommended for Claude Code, Codex, Cursor, and other tools supported by skills:
npx skills add freestylefly/awesome-gpt-image-2 --skill gpt-image-2-style-library --agent claude-code codex --global --yes --copy
Install to every supported local agent:
npx skills add freestylefly/awesome-gpt-image-2 --global --all --copy
Run these commands inside Claude Code:
/plugin marketplace add freestylefly/awesome-gpt-image-2
/plugin install gpt-image-2-style-library@awesome-gpt-image-2
If you prefer npm, install the CLI and then sync the skill into local agent folders:
npm install -g gpt-image-2-style-library
gpt-image-2-style-library install all
You can also run it without a global install:
npx gpt-image-2-style-library install all
Install from GitHub Packages:
npm login --scope=@freestylefly --registry=https://npm.pkg.github.com
npm install -g @freestylefly/gpt-image-2-style-library --registry=https://npm.pkg.github.com
gpt-image-2-style-library install all
install all writes the skill to the common local folders used by Codex and Claude Code, including ~/.codex/skills, ~/.claude/skills, and ~/.agents/skills. Restart the agent session after installing.
Use it with a request like:
Use gpt-image-2-style-library to create an infographic prompt about Codex.
For local source development:
npm run generate:style-skill
npm run install:skill
The skill source lives at agents/skills/gpt-image-2-style-library. Its generated reference comes from data/style-library.json, so the website and Agent workflow share one style library.
The visual site includes login-gated case generation powered by Supabase Auth, Supabase Postgres, and a Vercel Function proxy for the GPT Image 2 API.
Required Vercel environment variables:
VITE_SUPABASE_URL=
VITE_SUPABASE_ANON_KEY=
SUPABASE_SERVICE_ROLE_KEY=
SUPER_ADMIN_EMAILS=2689458656@qq.com,canghe0818@gmail.com
CIYUAN_API_KEY=
CIYUAN_BASE_URL=https://ciyuan.today
APP_URL=https://gpt-image2.canghe.ai
STRIPE_SECRET_KEY=
STRIPE_WEBHOOK_SECRET=
VITE_GA_MEASUREMENT_ID=
GA4_PROPERTY_ID=
GOOGLE_ANALYTICS_CLIENT_ID=
GOOGLE_ANALYTICS_CLIENT_SECRET=
GOOGLE_ANALYTICS_REFRESH_TOKEN=
Setup checklist:
supabase/migrations/202605090001_user_credits.sql to the Supabase project.supabase/migrations/20260509090000_membership_billing.sql to add membership plans, credit packs, Stripe order records, and credit adjustment RPCs.supabase/migrations/20260512090000_google_account_center.sql to add account usage summaries and forced credit charging for super admins.supabase/migrations/20260512143000_pricing_admin_metrics.sql to update the $5 / 300 credits catalog and add admin dashboard metrics.supabase/migrations/20260515090000_case_favorites.sql to add per-user case favorites.https://gpt-image2.canghe.ai and local dev URLs such as http://127.0.0.1:5173 to Supabase Auth redirect URLs.SUPABASE_SERVICE_ROLE_KEY only in server-side environments such as Vercel Environment Variables.https://gpt-image2.canghe.ai/api/billing/webhook.checkout.session.completed, invoice.payment_succeeded, customer.subscription.updated, and customer.subscription.deleted.STRIPE_SECRET_KEY and STRIPE_WEBHOOK_SECRET only in server-side Vercel Environment Variables.gpt-image2.canghe.ai, add the measurement ID to VITE_GA_MEASUREMENT_ID, and copy the numeric property ID to GA4_PROPERTY_ID.http://localhost:8080/oauth2callback as an authorized redirect URI, then add GOOGLE_ANALYTICS_CLIENT_ID and GOOGLE_ANALYTICS_CLIENT_SECRET to local .env.local.npm run ga4:oauth, open the generated URL, approve the analytics.readonly permission, paste the callback URL into the terminal, then add the returned GOOGLE_ANALYTICS_REFRESH_TOKEN to Vercel as a Sensitive environment variable.An engineering-whitepaper-style infographic case for studying modular structure, information hierarchy, and bilingual labels. View full case
A mixed "product interface + social content screenshot" case for controlling text blocks, UI frames, and content cards. View full case
A Japanese fantasy illustration example for studying atmosphere, color, and large-scene composition. View full case
A classic "structured breakdown + explanatory layout" case for product diagrams and poster-like technical explainers. View full case
A multi-card, unified-style case for studying batch generation and series design. View full case
A strong hybrid of brand narrative, structural breakdown, and commercial presentation. Useful as an "infographic + brand visual" reference. View full case
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Case 330: Moonlit Livestream Scene ![]() A high-fidelity livestream screenshot reference for UI atmosphere, comments, and realistic people. View Case |
Case 334: RAG Technical Explainer ![]() A reference for technical concepts, process arrows, and Chinese explanation modules. View Case |
Case 338: Red Cliff Classical Scroll ![]() A complete example of scroll format, classical Chinese narrative, and full-text layout. View Case |
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Case 331: Hand-Drawn Xi'an Watercolor Map ![]() A lightweight reference for city maps, hand-drawn routes, and landmark labels. View Case |
Case 332: Tea Pi Product Poster ![]() A beverage product image combining Chinese selling points and a clean commercial poster style. View Case |
Case 339: Apple-Style Nature Science Poster ![]() Minimal studio photography, a natural subject, and science-poster information layout. View Case |
Only the latest collection and import run is shown here. Older imports stay in the full gallery.
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Case 489: Miniature City Map Travel Poster ![]() A tilt-shift travel map scene where a road rises from a vintage city map into real landmarks. View Case |
Case 490: Double-Exposure Fashion Portrait ![]() A layered studio fashion portrait combining a close-up profile, full-body figure, aviators, and sepia light leak. View Case |
Case 491: Y2K High-Rise Bathroom Mirror Selfie ![]() A raw flash mirror selfie prompt with smudged glass, skyline reflections, cluttered luxury counter, and Y2K camera texture. View Case |
Case 492: Black Couture Hotel Suite Portrait ![]() A single vertical luxury fashion portrait with hotel-suite depth blur, couture styling, and soft window light. View Case |
Case 493: Tokyo 13-Frame Travel Collage ![]() A candid Tokyo travel grid covering 13 phone-shot moments from Tower selfies to Nara deer chaos. View Case |
The full template library lives in docs/templates.md. Use the Prompt Template Categories above for quick category jumps, or open Industrial prompt templates and pitfalls guide for the complete template text.
During collection and research, this project references public prompt-library content from YouMind and OpenNana for learning, summarization, and methodology research. Copyright belongs to the original authors or platforms. If any content is infringing or inappropriate, please contact us and we will correct or remove it promptly.
This project only organizes publicly accessible community prompts and example images for learning and research. It does not claim ownership of any third-party original content.
All prompt cases and generated images in this repository were initially inspired by public community sources, especially YouMind and OpenNana. The project aims to break down strong examples into reusable structured protocols for learning, summarization, and automated testing with large-model agents.
CC BY 4.0, and the relevant platform rules.If this library helps you, please star the repository.
This project is open source under the MIT License. You can use, modify, distribute, and build on it freely while preserving the license notice.
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