GPT Image 2 Prompts - Pixel-Level Text Rendering & Commercial-Grade AI Image Generation - YouMind
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GPT Image 2 Prompts - Pixel-Level Text Rendering & Commercial-Grade AI Image Generation - YouMind

2026.04.21
·Web·by 권준호
#AI Image Generation#GPT#Text Rendering

Key Points

  • 1This text outlines the extensive features of an AI-powered web application, including curated collections of prompts for various AI models like Nano Banana Pro, Grok Imagine, and Gemini 3 Pro, complete with search, filtering, and download capabilities.
  • 2It details user engagement functionalities such as an "AI Skills" marketplace, an "AI Model Arena" for comparative testing of AI models, and an "AI Christmas Card Maker" that enables personalized content generation.
  • 3The application also incorporates unique interactive elements, notably the "ABTI" (Abi's Personality Test) feature, which playfully categorizes user "personalities" through AI-generated character descriptions and "Work Stench Level" traits.

The provided text is a large JavaScript object serving as a comprehensive localization and configuration dictionary for a web application, likely built with Next.js, given the file path patterns. It defines strings, UI labels, descriptions, and configuration parameters across various functional modules and pages, primarily in Chinese with some English keys and values.

The core methodology employed is a hierarchical JSON-like structure where top-level keys correspond to major application sections or components, such as PostHogProvider, GtagProvider, ThemeProvider, I18nProvider, NuqsAdapter, GoogleOneTapPrompt, Toaster, NanoBananaProPrompts, Seedance20VideoPrompts, GrokImagineVideoPrompts, GPTImage15Prompts, Gemini3Prompts, Seedream4-5Prompts, ChristmasCardPrompts, ChristmasCardMaker, loginDialog, Skills, ModelArena, Landing, ABTI, and ABTIWeb3. Each of these top-level objects further branches into nested keys representing specific UI elements, messages, feature descriptions, and metadata.

Technical terms and common patterns found across the structure include:

  • Localization (i18n): Extensive use of key-value pairs for text, such as title, description, buttonText, placeholder, faq questions and answers (q0, a0), and specific messages like resendSuccess, copied, generationFailed, rateLimitExceeded. The presence of chineseButton: "中文" and originalButton: "EN" confirms multilingual support.
  • Feature Modules:
    • AI Prompt Galleries (NanoBananaProPrompts, GrokImagineVideoPrompts, GPTImage15Prompts, Gemini3Prompts, Seedream4-5Prompts): These sections provide highly structured data for different AI model prompt libraries. They define headerTagline, freshPrompts, total, updating status, searchBar configurations (with placeholder, filterAll, filterVideo, filterImage, promoLabel, promoTitle, promoButton, modelSlug, searchModePrompt, searchModeAuthor), promptCard details (e.g., tabPrompt, tabOriginal, by, translateButton, copy, share, tryItNow, installOnYouMind, aiShortcut, savePromptTitle, referenceImages), faq entries, blogCard, imageCarousel, emptyState, footerCTA, tweetModal, loadMore, generator, settings (including aspectRatioLabel).
    • AI Assistant/Skills (Skills): Details guides (guideText), skill descriptions (skillsDescription), recommended packs, search functionality (searchPlaceholder), filtering (latest), installation status messages (installSuccess, installFailed), author and category metadata, tools, instructions, and user interaction calls to action (tryIt, getWith, open). It also includes rankings (weeklyTopTitle, featuredTitle) and user profile information (noBioFound).
    • Model Arena (ModelArena): Facilitates comparison of AI models with compareModels, prompts, loadMore, excelsFilter, empty states. It features viewComparison, preview, noImage, models count, sourceLink, by author, tryItNow, preferThis, votes, championModel identification, filters, sort options (time, likes, comments, reposts, views, bookmarks), blindTest, and referenceImages.
    • "ABTI" Personality Test (ABTI, ABTIWeb3): This is a prominent feature with extensive, detailed textual descriptions for various "personalities" (e.g., SPOON: "等喂者", MASK: "入戏者", JAIL: "越界清风", JEET: "卖飞狗"), each with name, description, and catchphrases. It defines characters like "Abi" and "Amy" with their background stories and characteristics. The ABTIWeb3 section specifically tailors these personalities to Web3 contexts, introducing new indices (rug, yolo, alpha) and descriptions reflecting blockchain culture. Common elements include hero, copy, gallery, hidden (for secret personalities), community statistics, cta, faq, upload, generate and generating states, errors, reroll, and download/share options (splitDownload, fullDownload, inviteFriend). The fyl (Work Stench Level) section further elaborates on personalities with evocative olfactory descriptions.
  • User Management & UI (common, loginDialog, UpgradeModal, DownloadExtension): Contains general UI strings like back, openInYouMind, close, download, downloading, downloadError. loginPromotionDialog and downloadDialog are reusable modals promoting login or download features, detailing benefits (benefit1 to benefit5), credit systems (积分), supported AI models (Gemini 3.0 Pro, Nano Banana Pro, Claude Opus 4.6), and sharing mechanisms (shareRequest, shareTextLabel, generateShareText, shareOnTwitter, shareOnLinkedIn). Authentication-related messages include authError, loginRequired, loginButton.
  • Analytics and Providers: PostHogProvider, GtagProvider, ThemeProvider, I18nProvider, NuqsAdapter indicate integration with analytics, theming, internationalization, and URL query parameter management.
  • Campaigns: CampaignHeader and NewYearsCampaignBanner suggest seasonal promotions.
  • Video Tools: VideoToolsConfig defines steps for video-related functionalities like translation, downloading, AI interaction, and summarization.

The structured nature allows for efficient localization and modular development, where each functional area can manage its specific text and configurations. The repeated loginPromotionDialog and downloadDialog across various prompt categories indicate a consistent monetization/engagement strategy centered around user login and content downloads.