Awesome GPT-Image-2 API Prompts: Curated Prompt Library

1. Introduction

• This document provides a detailed, sectioned description of the attached repository content, focusing on the 구성 and purpose of the GPT-Image-2 prompts library. The project gathers high-quality prompts and image examples across multiple visual modes, from portraits and posters to UI mockups and community experiments. It functions as a living catalog of reusable prompt patterns, case studies, and task-focused references for GPT-Image-2 usage on Evolink.
• Visual identity and licensing are embedded in the input materials. The repository header features a project logo and a CC BY 4.0 license badge, signaling openness and permissive reuse of the content. The logo asset appears as:
• Project logo
• The collection emphasizes practical prompts rather than solely showcasing outputs. It curates cases drawn from social platforms and public demonstrations to demonstrate how prompts translate into ethically generated, richly styled visuals. For interactive exploration, readers can Try It on Evolink via:
• GPT-Image-2 on Evolink: https://evolink.ai/gpt-image-2-prompts?utmsource=github&utmmedium=readme&utm_campaign=awesome-gpt-image-2-prompts
• The repository’s structure organizes content into major sections such as Portrait & Photography, Poster & Illustration, UI & Social Media Mockups, and a dedicated Comparison & Community Examples area. Each section presents worked examples (Cases), including the descriptive prompt text, output image, and an attribution line for the creator where applicable.
• Language and localization: the project pages are mirrored with localized README files in several languages, including English, Español, Português, 日本語, 한국어, Deutsch, Français, Türkçe, 繁體中文, and 简体中文, each linked from the header’s language badges. This multilingual approach reinforces the intent to serve a broad creator community.
• The dataset is richly illustrated through embedded images. Multiple Case outputs are linked to local image assets that illustrate the described prompts. For example, portrait-oriented outputs are shown under filenames such as:
• ./images/portrait_case1/output.jpg
• ./images/portrait_case2/output.jpg
• ./images/portrait_case3/output.jpg These visual anchors provide a concrete sense of the style, composition, and tone achieved by the prompts. See the detailed case summaries below for representative visuals.

1. News and Progress

• The repository maintains a running timeline of updates, emphasizing prompt-driven expansions across portrait, poster, UI, and comparison categories. Highlights include the addition of dozens of new GPT-Image-2 prompt cases in late April 2026, standardized case titles across README and localized files, and extensive categorization and asset download of linked outputs.
• Specific milestone notes include:
• April 25, 2026: Added 22 new GPT-Image-2 prompt cases across portrait, poster, and UI sections.
• April 23, 2026: Standardized case titles in README and localized READMEs, including menu anchors and case headings.
• April 21, 2026: Categorized 48 new prompt cases into the gallery sections and downloaded linked output images.
• April 20–19, 2026: Added 10–12 newly curated GPT-Image-2 prompts with local image assets and README updates.
• April 18, 2026: First repository release with a curated GPT-Image-2 case set.
• The menu structure and navigation are designed to ease exploration of specific case families and to showcase a wide spectrum of styles, from ultra-realistic fashion portraits to cinematic travel posters, and from dense information infographics to mock UI screens.

1. Gallery overview: Major sections and representative cases

• The collection is organized into four primary galleries, each with a curated set of cases and visuals. The following subsections summarize representative cases in each gallery, accompanied by image references pulled from the Input.

3.1 Portrait & Photography Cases

• Case 1: Convenience Store Neon Portrait (by BubbleBrain)
• A high-contrast, late-night 35mm film portrait set inside a 24-hour convenience store. The prompt emphasizes harsh fluorescent lighting, neon exterior glow, authentic film grain, and a seductive, editorial style. The subject is depicted in a dynamic leaning pose with strong eye contact and a carefully crafted skin texture and makeup. Output image reference:
  • Output image
• Case 2: Cinematic Minimal Portrait (by iam_miharbi)
• A solitary figure framed against an intense orange-to-red gradient environment with a strong silhouette and reflective floor, exploring cinematic minimalism and balance. Output image reference:
  • Output image
• Case 3: Japanese Onsen Ryokan Portrait (by BubbleBrain)
• A warm, vintage onsen mood with soft lantern light, wooden interiors, and a calm, intimate pose. The portrait emphasizes skin texture, traditional yukata drapery, and a relaxed gaze, captured with vintage film color grading. Output image reference:
  • Output image
• Case 4: 35mm Flash Editorial Portrait (by BubbleBrain)
• A 35mm color film portrait shot with direct on-camera flash. The aesthetic blends high-contrast lighting, skin highlight speculars, and a fashion editorial vibe on an outdoor basketball backdrop. Output image reference:
  • Output image
• Case 5: Mirror Selfie Bedroom Portrait (by Shinning1010)
• An 18-year-old subject captured in a mirror selfie with warm golden-hour light, casual loungewear, and a relaxed bedroom setting. Output image reference:
  • Output image
• The gallery continues with softer, airy 35mm portraits, luxury beauty frames, cosplayer screenshots, urban-turn-back street portraits, and narrative editorial compositions. Each entry follows a consistent pattern: a richly detailed prompt, a narrative composition (pose, mood, wardrobe), and an output image anchor to illustrate the intended look.

3.2 Poster & Illustration Cases

• Case 1: Boston Spring 2026 City Poster (by BubbleBrain)
• A bold city poster that weaves a river-like flow through iconic Boston landmarks with a refined typography treatment. The design leans on dual imagery (water, skyline) and a vertical promotional tagline. Output image reference:
  • Output image
• Case 2: Vintage Amalfi Travel Poster (by WolfRiccardo)
• A retro travel illustration with a classic 1960s aesthetic: seaside cliff road, blue Mediterranean, pastel hillside villages, and a hand-drawn texture reminiscent of screen prints. Output image reference:
  • Output image
• Case 3: Chengdu Food Map Illustration (by Panda20230902)
• A hand-drawn city map featuring twelve culinary hotspots illustrated with small vignettes; the composition emphasizes a watercolor-pencil mix and neighborhood lore. Output image reference:
  • Output image
• Case 4: Chinese Minimalist S-Shaped Poster (by liyue_ai)
• An S-curve “paper tear” motif reveals interior landscape: blue river, green hills, traditional architecture, and a gilded balance of negative space. Output image reference:
  • Output image
• Case 5: 2026 Spring Guangzhou City Poster (by liyue_ai)
• A double-exposure city poster that merges Guangzhou’s skyline with a traditional figure holding red silk that morphs into a river. The piece evokes Chinese contemporary design with a majestic sweep across 9:16 framing. Output image reference:
  • Output image
• The Poster & Illustration gallery showcases a spectrum from travel posters and architectural-inflected urban scenes to museum-like information graphics and calligraphic, culturally inflected design. Representative images anchor the described prompts and demonstrate stylistic variations ranging from watercolor to hyper-real CGI.

3.3 UI & Social Media Mockup Cases

• Case 1: One-Prompt UI Design Generation (by austinit)
• A prompt-driven request to generate a complete UI design system, spanning web, mobile, cards, controls, and buttons in a chosen visual language. Output image reference:
  • Output image
• Case 2: Amateur iPhone Keynote Snapshot (by patrickassale)
• A casual keynote-like shot, imitating an iPhone photography aesthetic with backdrop suited to a keynote context. Output image reference:
  • Output image
• Case 3: Handwritten Notebook Photo (by patrickassale)
• An open notebook photo with handwritten notes, captured in natural daylight, emphasizing authentic, imperfect notebook aesthetics. Output image reference:
  • Output image
• Case 4: Song Dynasty Social Media Feed (by Panda20230902)
• A playful fusion of Song Dynasty imagery with a modern social media feed UI, including historic avatars, decorative icons, and a faux “Big Data” feel. Output image reference:
  • Output image
• Case 5: Multi-Platform Content Screenshots (by MrLarus)
• A composite prompt calling for screenshots across multiple platforms (short-video, mini-threads) in a single prompt, illustrating cross-platform content design. Output image reference:
  • Output image
• The UI & Social Mockups gallery emphasizes the cross-pertilization between traditional imagery and contemporary interface design, demonstrating how prompts can guide stylistic conventions across web, mobile, and social media frames.

3.4 Comparison & Community Examples

• Case 5: Wooden Bookshelf Prompt Test (by chetaslua)
• A minimal prompt for a three-shelf bookshelf with a combinatorial count of items. The case showcases how a simple instruction yields a structured, visually plausible output. Output image reference:
  • Output image
• Case 10: GPT-Image-2 Detail Showcase (by liyue_ai)
• A four-panel, ultra-realistic close-up of an eye (春夏秋冬) arranged in a 3:4 grid, illustrating how staging and seasonality cues are handled within a single prompt. Output image reference:
  • Output image
• Case 16: A/B Test Signed Output (by saskr_13)
• A meta-prompt-driven storyboard that tests signed output variants, highlighting how prompt phrasing can influence stylistic outcomes. Output image reference:
  • Output image
• Case 23: Silhouette Universe Narrative Poster (by MrLarus)
• A poster concept focusing on a silhouetted world-building device as the central motif, blending a narrative poster with a world-building prompt. Output image reference:
  • Output image
• Case 29: Lion Camel Ridge Dark Myth Scene (by MANISH1027512)
• A richly detailed Chinese-mythic scene featuring multiple mythic figures and a grand throne sequence; the prompt emphasizes multi-entity composition, perspective, and shadow play. Output image reference:
  • Output image
• The Comparison & Community area demonstrates how alternative prompts can yield variations in narrative weight, composition density, and the degree of realism versus stylization, often serving as a knowledge base for prompt refinement.

1. Acknowledgments and star history

• Acknowledgment segment
• The document notes that the repository draws inspiration from outstanding prompt collections and community-shared GPT-Image-2 experiments. It credits multiple contributors—BubbleBrain, iammiharbi, Shinning1010, patrickassale, Zoulinshen, WolfRiccardo, Panda20230902, liyueai, blanplan, 4WEB1, lilimliliychan, Thereallo1026, iamrednightS, 09lyco, and many others—while acknowledging that attribution may not be exhaustive for every case.
• Star history
• The repository features a Star History chart, which tracks the repository’s popularity over time, offering a visualization of community engagement. The star history graphic is hosted via a dynamic SVG reference:
  • https://api.star-history.com/svg?repos=EvoLinkAI/awesome-gpt-image-2-prompts&type=Date
• The Acknowledgments section emphasizes a community-driven ethos and invites readers to contribute more prompt cases to strengthen the Evolink prompt library.

1. How to read and use the collection

• The structure is designed for discoverability and practical reuse. Readers can navigate by gallery (Portrait & Photography, Poster & Illustration, UI & Social Mockups, Comparison & Community), then drill into individual cases to study:
• The long, descriptive prompts that encode composition, lighting, lens choices, wardrobe, and mood.
• The intended outputs and the visual anchors used to illustrate the prompt’s effect.
• The contributor attribution, when present, to map back to original creators and contexts.
• Each case is self-contained: it begins with a title and a hyperlink to the original social post (where applicable), then presents the Output image, followed by a detailed narrative prompt that guides GPT-Image-2 in producing a similar image. This structure helps practitioners understand how to translate textual intent into visual form, and it provides templates for adapting prompts to new subjects.

1. Images: usage and references

• The repository embeds numerous image anchors to demonstrate concrete outcomes. The images serve as visual references for the described prompts and are essential to appreciating the prompt’s impact. Representative image anchors include:
• Portrait Case 1 output: ./images/portrait_case1/output.jpg
• Portrait Case 2 output: ./images/portrait_case2/output.jpg
• Portrait Case 3 output: ./images/portrait_case3/output.jpg
• Poster Case 1 output: ./images/poster_case1/output.jpg
• Poster Case 2 output: ./images/poster_case2/output.jpg
• UI Case 1 output: ./images/ui_case1/output.jpg
• UI Case 4 output: ./images/ui_case4/output.jpg
• Comparison Case 5 output: ./images/comparison_case5/output.jpg
• In the descriptive narrative, several images are linked inline to illustrate the discussed prompts. For example:
• Portrait Case 1 output image reference: Output image
• Poster Case 3 output image reference: Output image
• UI Case 10 output image reference: Output image
• Comparison Case 29 output image reference: Output image
• These visual anchors help readers quickly grasp styling cues such as lighting, texture, color grading, composition, texture, and the balance between subject and background.

1. Practical notes for readers and contributors

• The repository stresses prompts as reusable patterns. When reading, pay attention to:
• The explicit attention to lighting (natural vs. artificial, single light beam vs. multiple sources), camera settings (35mm film, 85mm macro, etc.), and film-grain or halation aesthetics that shape the final look.
• The explicit mood and pose cues that shape character and narrative (intimacy, vulnerability, playfulness, editorial precision).
• The design language in posters and UI mockups (layout density, typography, color treatment, and how negative space is used to balance visual hierarchy).
• For contributors, the material demonstrates a robust approach to prompt engineering: begin with subject description, specify camera and lens, define lighting and texture, and close with mood-oriented prompts about color grading and realism. The prompts also frequently include negative prompts or guidance to minimize artefacts, ensuring outputs align with a high-fidelity, cinema-grade aesthetic.
• The localization links in the header reflect a community-wide outreach. Readers are encouraged to explore localized READMEs for region-specific prompts or case headings, which may offer nuanced prompts or examples aligned with local stylistic preferences.

1. A closing note on the “1500-word” descriptive overview

• This document distills the essence of a large, richly varied prompt library. While the input provides hundreds of lines spanning dozens of cases, the description above focuses on conveying the structure, intent, and representative content across the core galleries. The repository is designed as a practical resource for prompt engineers, visual artists, and AI-assisted designers who seek to reproduce, adapt, or remix prompt templates to generate consistent, high-quality GPT-Image-2 outputs.
• The embedded visuals presented in the document—via the image anchors noted above—provide a tangible reference for texture, lighting, and composition. They illustrate how carefully crafted prompts transform textual instructions into photorealistic or artistically stylized imagery.
• Readers are encouraged to explore the Evolink prompt library itself to test prompts, download linked outputs, and contribute new cases that expand the breadth of artistic and design styles available to GPT-Image-2 workflows.

Appendix: Image references included in this description (selected excerpts)

• Project logo
• Portrait Case 1 Output
• Portrait Case 2 Output
• Portrait Case 3 Output
• Portrait Case 4 Output
• Portrait Case 5 Output
• Poster Case 1 Output
• Poster Case 2 Output
• Poster Case 3 Output
• Poster Case 4 Output
• Poster Case 5 Output
• UI Case 1 Output
• UI Case 4 Output
• UI Case 5 Output
• Comparison Case 5 Output
• Comparison Case 10 Output
• Comparison Case 16 Output
• Comparison Case 23 Output
• Comparison Case 29 Output
• Additional image anchors across the poster and UI subsets appear in the input at paths such as:
• ./images/poster_case7/output.jpg
• ./images/poster_case8/output.jpg
• ./images/portrait_case7/output.jpg
• ./images/portrait_case8/output.jpg
• …and many others referenced in the input text.

End of detailed description.