yang0/handraw-style

What it solves

This project addresses the difficulty of generating consistent, high-quality AI images by providing a structured system for visual styles, layouts, and color palettes. It eliminates the need for users to memorize complex prompting terminology or struggle with composition, allowing them to generate professional-grade visuals for social media, articles, and marketing materials.

How it works

The project functions as a prompt-engineering library and toolset. Users select specific numerical identifiers for a visual style (e.g., hand-drawn or realistic), a layout pattern (e.g., comic storyboard or infographic), and a color theme. The system then generates optimized, bilingual prompts that can be copied directly into AI image generators like Midjourney, DALL-E 3, or Stable Diffusion. It also supports advanced workflows like automatic article illustration, video cover design, and structured poster creation.

Who it’s for

• Content Creators: For designing social media covers, infographics, and consistent article illustrations.
• Writers: For automating the planning and generation of visual content for long-form articles.
• Designers & Marketers: For quickly prototyping posters, brand assets, and e-commerce visuals.
• Photographers: For planning professional portrait or event photography shoots with specific visual themes.

Highlights

• Extensive Library: Includes 365 visual styles, 167 layout patterns, and 36 curated color themes.
• Intelligent Recommendations: Automatically suggests style and color combinations based on a user's topic if no specific ID is provided.
• Structured Workflows: Supports specialized modes for poster design, article-to-image batching, and professional photography planning.
• Model Compatibility: Provides specific prompting strategies for both models with deep style-activation capabilities (like GPT-Image) and general-purpose models (like Midjourney or Flux) using reference-image fallback techniques.