baoyu-article-illustrator

You can automate article illustration generation by analyzing article content to identify optimal illustration positions, then using AI models to generate images that maintain specified styles and palettes. This ensures visual harmony throughout the article while reducing manual effort.

To maintain palette consistency across AI-generated article illustrations, define palette parameters in the article's YAML frontmatter. The Skill reads these specifications and applies them uniformly during image generation to ensure visual harmony.

Yes, you can specify illustration density and style when generating images for markdown articles. You define parameters such as style, palette, and density per section in the YAML frontmatter, which guides the AI model during generation.

Article content analysis identifies optimal illustration positions by reading the markdown file and evaluating its structure and context. It uses vision analysis capabilities to determine where visual breaks enhance readability before generating targeted images.

Yes, vision analysis capabilities are required to generate article illustrations. The Skill depends on vision analysis to evaluate article content and determine optimal illustration positions, alongside image generation to create the final visual assets.

Generated illustration files are organized in a structured output directory for easy access. This structuring ensures that the images align with their intended positions in the article, simplifying the final insertion process during editing.