AI 图像风格 JSON 提示词库

Plug-and-play JSON style prompts for Nano Banana Pro, GPT Image & Midjourney. Copy one style.json, get a consistent look. New styles ever…

AI Visual Prompt Cookbook English | 简体中文 | 繁體中文 | 日本語 | 한국어 | Bahasa Indonesia Copy a JSON, get a style. Drop one style.json into ChatGPT, Claude, Nano Banana Pro, or any LLM image workflow. Replace the variables, keep the visual system. A curated library of plug-and-play visual prompt styles for AI image generation, distilled from visual design references and structured for more consistent, reusable output. Curated by @VigoCreativeAI, structured with assistance from OpenAI Codex. Star this repo to follow new style drops. 🖼️ Browse the online gallery · or jump to the All Styles gallery / full catalog below. 💬 Made something with a style? Share it in Show and tell · Want a style that isn't here? Request it Quick Links Category Good for Start with Photo + Doodle Social snapshots, lifestyle scenes, playful overlays Playful Mascot Doodle Snapshot, Cozy Bedroom Doodle Companion Zine + Collage Fashion posters, music visuals, maximalist editorial layouts K-pop Apocalypse Ransom Zine, Y2K Grunge Hip-hop Cutout Poster Type Posters Big headline systems, loud campaign graphics, visual punch Impact Burst Halftone Comic Poster, Neon Kinetic Typographic Poster Travel + City Destination posters, street scenes, urban diaries Clean Triptych Travel Vlog Thumbnail, Tokyo Kawaii Travel Collage Poster Editorial + Minimal Cleaner compositions, structured layouts, quieter art direction Tri Color Hardcut Portrait Poster, Soft Analog Future Editorial Poster Product + Campaign Launch ads, product heroes, retail graphics Sunlit Coastal Product Blitz, Electric Blue Silhouette Product Launch Why This Exists Most AI image prompts are one-off text blobs: hard to reuse, hard to compare, and hard to iterate on. This repo takes a different approach: each visual style is distilled into a structured style.json you can drop into any LLM-based image generation workflow. Same JSON, more consistent style direction across generations. Quick Start Browse the Featured Styles, Quick Links, or All Styles. Open a style folder and copy the style.json. Paste the full JSON into ChatGPT, Claude, Nano Banana Pro, or any LLM-based image workflow. Provide your own values for the variables declared in environment_variables, or edit a case in examples[*].values. Generate the final image prompt and send it to your image model. See the Complete Example below for a full input-to-output walkthrough. Recommended Image Models This workflow works best with end-to-end multimodal image models that can read long structured JSON prompts and generate the final image in one step. ChatGPT Images 2 (OpenAI, gpt-image-2) — strong text rendering, 2K/4K output, reasoning before generation Nano Banana Pro (Google, Gemini 3 Pro Image) — 4K output, multilingual text accuracy, strong subject consistency Other multimodal LLMs that accept long JSON prompts may also work but are not the primary recommendation. Complete Example Input → Output Walkthrough This example uses Mono Noir Type Portrait Poster Style. Step 1 — The Style prompt_template excerpt Create a {ASPECT_RATIO} monochrome editorial poster in the Mono Noir Type Portrait Poster Style. Style fidelity lock: {STYLE_FIDELITY_ANCHORS}. Source content to avoid: {SOURCE_CONTENT_TO_AVOID}. Scene: {SUBJECT} {SUBJECT_ACTION} with {PRODUCT_OR_PROP} in {LOCATION}. Background elements: {BACKGROUND_ELEMENTS}. Wardrobe and styling: {WARDROBE_STYLE}. Composition: one large high-contrast black-and-white photographic subject, close crop, deep charcoal background, sparse negative space, shallow depth of field, serious noir editorial mood. If the aspect ratio is 16:9, make a landscape poster with the subject weighted to the right side and the headline block on the left. If the aspect ratio is 9:16, make a vertical poster with the headline stacked in the upper-left or middle-left field and the subject cropped large on the right or lower-right. Typography: render the exact readable lowercase headline text "{MAIN_TEXT}" as three short left-aligned lines... Step 2 — Your Variables SUBJECT = a tired architect with silver hair SUBJECT_ACTION = studying a folded blueprint in a late-night pause PRODUCT_OR_PROP = a rolled plan tube and a pencil held low LOCATION = a dim concrete studio after midnight BACKGROUND_ELEMENTS = soft charcoal wall gradient, blurred drafting table edge, deep empty space MAIN_TEXT = focus / outlasts / noise. SECONDARY_TEXT = studio log 02:14 ACCENT_SYMBOL = a tiny white plus WARDROBE_STYLE = dark work jacket over a plain black shirt ASPECT_RATIO = 16:9 Step 3 — The Final Prompt Create a 16:9 monochrome editorial poster in the Mono Noir Type Portrait Poster Style. Style fidelity lock: black-and-white photographic portrait, deep charcoal background, giant lowercase left-aligned headline, first word in a white label, remaining words in white, high contrast, sparse negative space, close crop. Source content to avoid: no young woman with blunt bangs, no freckles close-up, no discipline beats procrastination text, no copied face or exact source crop. Scene: a tired architect with silver hair studying a folded blueprint in a late-night pause with a rolled plan tube and a pencil held low in a dim concrete studio after midnight. Background elements: soft charcoal wall gradient, blurred drafting table edge, deep empty space. Wardrobe and styling: dark work jacket over a plain black shirt. Composition: one large high-contrast black-and-white photographic subject, close crop, deep charcoal background, sparse negative space, shallow depth of field, serious noir editorial mood. If the aspect ratio is 16:9, make a landscape poster with the subject weighted to the right side and the headline block on the left. If the aspect ratio is 9:16, make a vertical poster with the headline stacked in the upper-left or middle-left field and the subject cropped large on the right or lower-right. Typography: render the exact readable lowercase headline text "focus outlasts noise." as three short left-aligned lines with tight leading; put