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awesome-gpt-image-2 — World's Largest GPT Image 2 Prompt Library (YouMind-OpenLab)

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Source: YouMind-OpenLab/awesome-gpt-image-2 on GitHub (README + repo metadata) + youmind.com/gpt-image-2-prompts (parent platform web gallery) Repo: https://github.com/YouMind-OpenLab/awesome-gpt-image-2 Stars: 4.5k (captured 2026-05-05) · Forks: 415 · Watchers: 17 Language: TypeScript (100%) · License: CC BY 4.0 Org: YouMind-OpenLab — open-source arm of YouMind (commercial AI content-creation platform)

YouMind-OpenLab/awesome-gpt-image-2 describes itself as the “World’s largest GPT Image 2 prompt library, updated daily — 2000+ curated prompts with preview images, 16 languages.” The live README count is 4,430 total prompts with 6 hand-selected featured prompts, organized into three category groups (Use Cases / Styles / Subjects). The collection is sourced mainly from public Twitter / 𝕏 posts and licensed CC BY 4.0 — free to adapt and reshare with attribution. Three consumption surfaces target different audiences: GitHub README for developers, a YouMind web gallery for visual browsing, and a Raycast integration with dynamic argument substitution for power-users on macOS.

Key Takeaways

  • Volume: 4,430 prompts at fetch (vs the repo description’s “2000+” — the description trails the live count). 16 supported languages — English, German, Spanish (es-ES + es-419), French, Hindi, Italian, Japanese, Korean, Portuguese (BR + PT), Thai, Turkish, Vietnamese, Traditional Chinese, Simplified Chinese.
  • License is CC BY 4.0 — explicit permission to adapt and reshare with attribution. Distinct from many community prompt collections that leave licensing ambiguous. Confirm against the LICENSE file before commercial-deliverable use.
  • GPT Image 2 codename “duct-tape” is named in the README. The model is OpenAI’s next-gen image generator with three flagship capabilities the prompt collection emphasizes: pixel-perfect text rendering (incl. multilingual), cross-image character consistency, and commercial-quality illustration.
  • Three consumption surfaces — a developer-friendly GitHub README (linear lists + preview images), a YouMind web gallery at youmind.com/gpt-image-2-prompts (masonry layout + full-text search + AI one-click generation), and a Raycast integration with dynamic argument substitution.
  • Three-axis taxonomy — Use Cases (browse by what you’re making — profiles, social posts, marketing), Styles (browse by what aesthetic you want — photography through pixel art), Subjects (browse by what’s depicted — portraits to typography). Lets the user enter from intent, aesthetic, or content.
  • Featured prompts demonstrate the capability case — exploded product diagrams with multilingual callouts (text-rendering flagship), illustrated city food maps with hand-drawn aesthetics (style + composition), anime martial-arts scenes with consistent characters (cross-image consistency), live-stream UI mockups with realistic interface overlays (commercial illustration). Two more featured prompts not surfaced in the WebFetch summary — verify on the live README.
  • Daily update cadence advertised. Submissions accepted via GitHub issues at github.com/YouMind-OpenLab/awesome-gpt-image-2/issues.
  • Source provenance: “All prompts collected from community for educational purposes,” mainly curated from public Twitter / 𝕏. Functions as an attribution-preserving anthology rather than original prompt authorship.
  • Sister to YouMind’s commercial platform. YouMind is an AI content-creation platform that generates images via GPT Image 2 + presentations + narrated videos with subtitles. The OpenLab open-source arm both feeds the commercial product’s gallery and stands alone as a useful resource for users not subscribing to YouMind. Pricing on the commercial side is not disclosed on the public landing.

Implementation

Tool/Service: YouMind-OpenLab/awesome-gpt-image-2 (CC BY 4.0)

Setup (browse on GitHub): No install. Visit github.com/YouMind-OpenLab/awesome-gpt-image-2, scroll the README. The default-language README is English; click into other-language READMEs for localized prompts.

Setup (browse on YouMind web gallery): Visit youmind.com/gpt-image-2-prompts. Masonry layout, search by keyword, click any card to see the full prompt text. AI one-click generation likely requires a YouMind account (not confirmed in public copy).

Setup (Raycast integration): Install the Raycast extension (specific extension name not surfaced via WebFetch — likely “GPT Image 2 Prompts” by YouMind in the Raycast store). Triggering a prompt opens an argument-substitution form so the dynamic variables can be filled in before the prompt is copied to clipboard or piped into a generation surface.

Required dependencies: GPT Image 2 access. The repo provides prompts only — it does not call any image API. To generate the image, route the prompt through one of:

  • ChatGPT directly (paste into the chat interface).
  • Codex CLI’s built-in image_generation tool over ChatGPT OAuth (zero-incremental-cost on ChatGPT Plus / Pro).
  • OpenAI Platform API (/v1/images/generations with model=gpt-image-2, requires sk-proj-... key).
  • Higgsfield’s GPT-Image-2 backend (via FAL openai/gpt-image-2).

Cost: Repository itself: free, CC BY 4.0. Image generation costs depend on which surface drives GPT Image 2 (Codex OAuth = free under ChatGPT Plus / Pro quota; Platform API = per-image charge; Higgsfield = FAL pricing).

Integration notes:

  • The repo is the prompt index; it does not host generated images on a CDN. The /public/images directory contains preview thumbnails for the README, not generation outputs.
  • Languages are not just translations — many prompts are language-specific to demonstrate the model’s text-rendering capability across scripts. Browse the language-specific READMEs for prompts that exercise non-Latin scripts (Japanese kanji, Chinese ideographs, Devanagari, Thai, etc.).
  • Raycast integration is the highest-leverage surface for a power user — dynamic argument substitution turns a flat prompt into a fillable template at the launcher level.

Try It

  • Bulk-import the Use Cases / Marketing slice into a WEO prompt vault. Pull the Marketing sub-section of the Use Cases category as the starter pack for the WEO Marketly visual-content pipeline. Each prompt becomes a reusable template — paste into the Codex CLI’s built-in image_generation tool over ChatGPT OAuth or Higgsfield’s GPT-Image-2 backend with WEO topic substituted.
  • Test the multilingual text-rendering flagship on a real WEO bilingual asset. Pick the “exploded product diagram with multilingual callouts” featured prompt. Substitute a real WEO Marketly product or service into the diagram. Verify whether the text-rendering claims hold up on dental-marketing-specific terms in English + Spanish (the WEO market’s two highest-frequency languages).
  • Install the Raycast extension and bind a few prompts to global hotkeys. For repeating image-generation patterns (weekly infographic, social post, hero banner), the Raycast hotkey path is the lowest-friction trigger. Compare against the current “open Codex CLI / call codex-imagegen” trigger in ~/.claude/CLAUDE.md.
  • Build a WEO-Marketly-specific prompt fork. The CC BY 4.0 license permits forking. Maintain a private WEO fork of awesome-gpt-image-2’s structure with the brand’s compass-star + lockup baked into ~30 reusable templates (per the WEO infographic visual system) — feeds directly into the marketing automation pipeline.
  • Cross-reference Depikt for editorially curated picks. When the volume of awesome-gpt-image-2 is overwhelming, use Depikt’s 350-prompt curation as a quality filter — find a prompt on Depikt, then search awesome-gpt-image-2 for the same category to see breadth and remixes.
  • Depikt — Curated GPT Image 2 Prompt Library + Generator + Gallery + Critique — the editorially curated sister resource. awesome-gpt-image-2 is the firehose; Depikt is the minority report.
  • Codex CLI’s built-in image_generation tool over ChatGPT OAuth (zero-incremental-cost on ChatGPT Plus / Pro; gpt-image-1.5 + gpt-image-2 reachable via codex exec against the ChatGPT image quota) — how to run an awesome-gpt-image-2 prompt against GPT Image 2 from Claude Code without a Platform API key. The natural pairing for the prompts in this catalog.
  • Higgsfield Overview — Higgsfield’s product-photoshoot backend can run any GPT-Image-2 prompt via FAL; awesome-gpt-image-2 prompts are drop-in compatible.
  • Higgsfield + Claude Code Ad Agency Workflow — applied DTC ad-creative pipeline that’s a natural downstream for the Marketing slice of the Use Cases category.
  • AI Web Design — adjacent visual-generation surface (web/landing-page focus); shares the spec-prompt vs vibe-prompt taxonomy.
  • Mega Prompt Chest — same shape (large community-curated prompt anthology, mixed quality, browse-and-pick) for text-model prompts. Useful comparison for evaluating community-prompt-library workflows.
  • OpenAI GPT-5 Prompting Guide — cross-vendor reference; eagerness control / contradictory-prompt warnings transfer to image-prompt construction.
  • Cross-Topic Connections — natural connection candidate: “GPT Image 2 in the WEO marketing pipeline” linking this article + Codex OAuth + Higgsfield + the marketing-infographic template.

Open Questions

  • Featured prompts list completeness. The WebFetch summary surfaced 4 of the 6 featured prompts. Pull the full list from the live README before public citation.
  • License verification on commercial use. README states “CC BY 4.0” — confirm against the machine-readable LICENSE file at the repo root before any WEO commercial deliverable cites or remixes a prompt verbatim.
  • YouMind pricing. The commercial parent platform’s tier pricing isn’t disclosed on the public web-gallery page. Sign-up flow likely required. Worth pulling for any “use YouMind as the workflow surface” recommendation.
  • Raycast extension specifics. Extension name, install path, and the exact dynamic-argument-substitution UX aren’t surfaced in the WebFetch summary. Verify by installing before recommending the Raycast path to operators.
  • Update mechanism vs claimed cadence. “Updated daily” is the marketing claim. Run an actual diff against the repo every few days for two weeks before recommending awesome-gpt-image-2 as a fresh-content layer in any WEO automation pipeline.
  • Comparison to other GPT-Image-2 prompt resources. Beyond Depikt, what’s in the broader landscape? Likely candidates: PromptHero, FlowGPT, sub-Reddit collections. A connections article comparing 3-4 GPT-Image-2 prompt sources would be the natural next file-back.

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