freestylefly/awesome-gpt-image-2

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Explore the 2.5 spotlight: learn about Sunburst and Flare, then explore a shared-prompt comparison with a draggable divider, side-by-side view, image enlargement, and generation settings.

• Sunburst: image generation and precise editing.
• Flare: fast, high-quality everyday image generation.
• 4 real recreations: #532 lemon campaign, #527 Rio diorama, #523 Manhattan watercolor, and #510 Bichon Shop icon. Each preserves its original gallery image and uses the full gallery prompt for one new built-in image generation, without a reference image. A case selector opens any example directly. Images, prompts and generation records. Original generation conditions and exact tool model IDs remain unverified; demonstration examples are labeled separately.

The spotlight runs independently. Existing GPT-Image2 cases, templates, Skill, and generation tools remain available. This update does not add live 2.5 image generation.

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.

Join the GPT-Image2 discussion group to exchange prompts, workflows, and creative ideas with other users. Visit the community page to join.

Follow the WeChat official account 苍何 or scan the QR code below to receive project updates, new cases, and practical tutorials.

Want to appear here? Support the project through GitHub Sponsors, or search 苍何 on WeChat and send your product name plus a short sponsorship note.

Sponsor	Description
	Thanks to APIMart for sponsoring this project! APIMart is a low-cost API platform for AI image & video generation — GPT-Image-2 from $0.006/image, 160+ images per dollar. One async API covers both image and video: submit a task, get an ID, fetch results via polling or callback. Batch tens of thousands of images without timeouts, switch models without changing code. Pay-as-you-go with no monthly fee — sign up here to get started.
	Thanks to hiapi for sponsoring this project! hiapi is an AI image & video generation API platform — GPT-Image-2 (text-to-image, image edit, 1K–4K) alongside video models like Seedance, Kling and Wan, all through one unified async API: submit a task, get a task_id, fetch results by polling or callback, batch without timeouts, switch models without code changes. Every result is stored on hiapi's own CDN with persistent storage, so your image/video URLs stay available long-term and can be fetched anytime — no rushing to download and back them up yourself. Native Remote MCP and Agent Skills plug straight into Claude Code & Cursor. Chinese UI & docs, WeChat Pay, pay-as-you-go with no monthly fee — new users get $1 free credit (~50 images). Sign up here.
	Thanks to PackyCode for sponsoring this project! PackyCode is a stable, high-performance API relay provider for Claude Code, Codex, Gemini, and more. Automatic failover, smart routing, and unlimited concurrency help turn AI coding into a reliable productivity tool. Register here to get started.
	Project sponsor. PPToken provides API relay and key distribution for ChatGPT, Claude, Gemini, and other mainstream AI models, with low-latency access, high availability, pay-as-you-go billing, and flexible subscription plans.
	Thanks to Liqiu API for sponsoring this project! Liqiu API is a stable, transparent, dedicated AI API relay offering access to ChatGPT, Claude, Grok, Gemini, and more. It uses pay-as-you-go billing, with multipliers starting at 0.1x, and emphasizes reliable service with around-the-clock maintenance for developers. Register here to get started.
	Thanks to Fluxion AI for sponsoring this project! Fluxion AI serves individual developers, engineering teams, and enterprises with a unified API for accessing and managing the world's leading AI models. Multi-route dynamic scheduling improves availability, while model performance, response time, and cost stay transparent and verifiable. Depending on the model and route, API call costs can be 40%–98% lower than official or baseline prices. Register here for an exclusive $3.88 trial credit.

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.

• 🧱 Atomic schema: split subjects, lighting, materials, layout, and visual details into composable parts
• ⚙️ Workflow friendly: designed for agents, scripts, and automation systems
• 🧬 Structured control: improve controllability for layout, copy, and information hierarchy

• Full case gallery
• Gallery Part 1: cases 1-165
• Gallery Part 2: cases 166-544
• Industrial prompt templates and pitfalls guide
• Agent skill: GPT-Image2 Style Library
• MIT License
• Full disclaimer

Start with the case album to find a visual direction, then open the prompt template categories to turn that direction into reusable structure.

🧩 UI & Interfaces 73 cases Apps, websites, dashboards, social screenshots, and product interfaces. View Cases	📊 Charts & Infographics 53 cases Infographics, knowledge maps, technical explainers, and structured diagrams. View Cases	📰 Posters & Typography 90 cases Event posters, covers, type-driven visuals, and strong layout compositions. View Cases
🛍️ Products & E-commerce 42 cases Product shots, detail pages, packaging, selling points, and ads. View Cases	🏷️ Brand & Logos 27 cases Logos, identity systems, brand touchpoints, and campaign visuals. View Cases	🏛️ Architecture & Spaces 12 cases Architecture renders, interiors, city maps, and spatial concepts. View Cases
📷 Photography & Realism 78 cases Portraits, phone photography, film texture, and commercial photography. View Cases	🎨 Illustration & Art 59 cases Illustration, art styles, material experiments, and decorative images. View Cases	🧍 Characters & People 31 cases Character design, pose references, cards, and 3D toys. View Cases
🎬 Scenes & Storytelling 21 cases Storyboards, narrative scenes, livestream frames, and worldbuilding. View Cases	🏮 History & Classical Chinese Themes 16 cases Classical scrolls, historical figures, traditional themes, and poetry visuals. View Cases	📚 Documents & Publishing 11 cases White papers, manuals, encyclopedic plates, and publishing layouts. View Cases
🧪 Other Use Cases 28 cases Creative experiments, special tasks, mixed workflows, and practical cases. View Cases	🖼️ Full Gallery Browse all 544 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.

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 supports direct APIMart generation with a personal browser-only API key. Without a personal key, signed-in users continue through Supabase Auth, platform credits, and the server-side APIMart key.

Required Vercel environment variables:

VITE_SUPABASE_URL=
VITE_SUPABASE_ANON_KEY=
SUPABASE_SERVICE_ROLE_KEY=
SUPER_ADMIN_EMAILS=2689458656@qq.com,canghe0818@gmail.com
APIMART_API_KEY=
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:

• Apply supabase/migrations/202605090001_user_credits.sql to the Supabase project.
• Apply supabase/migrations/20260509090000_membership_billing.sql to add membership plans, credit packs, Stripe order records, and credit adjustment RPCs.
• Apply supabase/migrations/20260721090000_alipay_webpay.sql before enabling Alipay website payments, then configure each credit pack's reviewed CNY price. See Alipay website payment setup.
• Apply supabase/migrations/20260722090000_paid_community.sql before enabling the paid community. Keep COMMUNITY_PAYMENT_ENABLED=false until the protected QR, Alipay onboarding, and production payment/refund checks are complete. See the paid community runbook.
• Apply supabase/migrations/20260512090000_google_account_center.sql to add account usage summaries and forced credit charging for super admins.
• Apply supabase/migrations/20260512143000_pricing_admin_metrics.sql to update the $5 / 300 credits catalog and add admin dashboard metrics.
• Apply supabase/migrations/20260515090000_case_favorites.sql to add per-user case favorites.
• Apply supabase/migrations/20260828090000_apimart_generation_tasks.sql to add APIMart task IDs, actual USD costs, expiring result URLs, and provider indexes.
• Add https://gpt-image2.canghe.ai and local dev URLs such as http://127.0.0.1:5173 to Supabase Auth redirect URLs.
• Enable the Google Provider after adding Google OAuth credentials in the Supabase Dashboard.
• To force Google-only sign-in, disable the Email Provider in Supabase Auth settings.
• Keep SUPABASE_SERVICE_ROLE_KEY only in server-side environments such as Vercel Environment Variables.
• Configure Stripe Checkout with the webhook URL https://gpt-image2.canghe.ai/api/billing/webhook.
• Subscribe the Stripe webhook to checkout.session.completed, invoice.payment_succeeded, customer.subscription.updated, and customer.subscription.deleted.
• Keep STRIPE_SECRET_KEY and STRIPE_WEBHOOK_SECRET only in server-side Vercel Environment Variables.
• Create a GA4 property for gpt-image2.canghe.ai, add the measurement ID to VITE_GA_MEASUREMENT_ID, and copy the numeric property ID to GA4_PROPERTY_ID.
• Create a Google OAuth Web Client with http://localhost:8080/oauth2callback as an authorized redirect URI, then add GOOGLE_ANALYTICS_CLIENT_ID and GOOGLE_ANALYTICS_CLIENT_SECRET to local .env.local.
• Run 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

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
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.

Case 539: Raw Sketchy Portrait Poster A customizable rough-ink portrait poster prompt combining an oversized subject, close companion, minimal scenery, restrained palette, and intentionally imperfect print texture. View Case	Case 540: Dreamlike Futuristic World Poster A vertical editorial art-poster prompt for surreal future cities with sculptural architecture, oversized plants, tiny people, vintage travel texture, and luxury pacing. View Case	Case 541: 50/50 Mixed-Media Memory Card A reference-photo editing prompt that keeps the top photo intact and converts the lower half into a handmade paper memory card with wax-crayon sketching. View Case
Case 542: Black-and-White Typographic Portrait Poster A high-contrast monochrome typographic portrait prompt that fuses side-profile silhouettes, rough ink texture, microtext, and a large readable text block. View Case	Case 543: Travel Souvenir Enamel Pin Badge A product-design prompt that turns a travel photo into a glossy enamel pin badge with gold dividers, scene hierarchy, simplified figure rules, and fabric backdrop. View Case	Case 544: Preschool Vocabulary Learning Card A preschool learning-card prompt for clean object-and-part vocabulary layouts with realistic produce, dotted arrows, simple illustration, and clear labels. 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.

1. Start from the featured cases and decide what output type you want to imitate.
2. Open the full gallery and find nearby cases. Copy structure first, then style words.
3. Return to the template page and fill your business variables into the general or JSON templates.

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.

• We make every effort to preserve original sources, including author profiles, original post links, and source repository links.
• For third-party content, we follow source repository statements, licenses such as CC BY 4.0, and the relevant platform rules.
• If you are the original author or rights holder and believe an entry should not be displayed, please open an Issue with the entry link. We will review it and remove it quickly when appropriate.
• This repository does not guarantee that third-party content can be used commercially. Please obtain authorization from the original rights holder before commercial use.

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.