five

mikebrave/Image-Prompt-Library

收藏
Hugging Face2026-05-26 更新2026-05-31 收录
下载链接:
https://hf-mirror.com/datasets/mikebrave/Image-Prompt-Library
下载链接
链接失效反馈
官方服务:
资源简介:
--- license: mit language: en tags: - image-generation - prompts - midjourney - stable-diffusion - wildcards - prompt-engineering - sqlite size_categories: - 100K<n<1M datasets: - mikebrave/Image-Prompt-Library --- # Image Prompt Library A SQLite-backed library of 61,235 curated image-generation prompts with style variants, wildcard vocabularies, and structured metadata. ## Overview We gathered prompts from across the internet — Midjourney, Stable Diffusion, and many other model communities — and consolidated them into a single structured database. After analysis we concluded that most prompts can be classified into roughly **6 prompt styles** (syntax families): | Style | Description | |---|---| | `comma-separated` | Classic token lists: `subject, lighting, mood` | | `booru-tags` | Space-separated tag format from imageboards | | `enhanced-prompt` | Weighted/sectioned prompts with emphasis markers | | `everyday-speech` | Natural language descriptions | | `lisp-like` | S-expression structured prompts | | `structured-fields` | Field-labeled prompts (`Subject:`, `Lighting:`, etc.) | We removed model-specific coding (aspect ratios, style codes, etc.), then identified repeated subjects and styles and turned them into **wildcards** with curated value pools. The wildcard placeholders were substituted into prompts, creating a flexible template system. Originally there were over 700,000 prompts. We performed a quality check and narrowed it down to ~61,000 high-quality prompts, with a **1,000-prompt superset** (`publish-curated-styles-1000`) designed for broad-coverage testing and evaluation. ## Status **Work in progress.** Not all styles are filled out for every prompt — the plan is to complete those over time. New prompts, prompt styles, and wildcards will be added as they're found. Contributions are welcome. ### Current Stats - **61,235** curated prompts - **6** syntax families (prompt styles) - **82,369** filled style templates - **19** wildcard definitions with **588** total values - **7** style profiles populated with generated content (using Gemma 4 and Qwen 3) - **1,000** evaluation superset for testing ## Database Schema The SQLite database includes these tables: - `prompts` — Core prompt records with identifiers, concepts, and metadata - `prompt_style_profiles` — Style/syntax family definitions - `prompt_templates` — Style-specific positive/negative templates with wildcard placeholders - `wildcard_definitions` / `wildcard_values` — Wildcard vocabularies and their value pools - `prompt_wildcard_bindings` — Links prompts to their wildcard dependencies - `prompt_sets` / `prompt_set_members` — Named subsets (e.g., evaluation sets, curated pools) - `prompt_versions` / `prompt_template_versions` — Change tracking - `style_generation_jobs` — LLM generation job tracking ## File - `prompts.db` — The complete SQLite database (trimmed from 700k+ to ~61k prompts) ## License MIT
提供机构:
mikebrave
二维码
社区交流群
二维码
科研交流群
商业服务