Recursive Image Generation
Split images to sub-images, generate stepwise
Recursive Image Generation
Split images to sub-images, generate stepwise
Showcase
Description
With the 'Recursive Image Generation' skill, you can easily handle complex image creation, breaking down scenes that are difficult to generate in one go into controllable and reusable sub-image elements. Whether you need to create illustrations with a 'picture-in-picture' effect, multi-column layout academic posters, or social media cards with clear typography, this skill helps you achieve them efficiently. It uses a unique two-stage approach: first, your complex concepts are broken down into independent elements such as charts, photo frames, screens, characters, or stickers, each generated and refined individually; then, these approved sub-images are used as input to intelligently synthesize the final complete image. This method ensures a visual, iterative creative process and maximizes the reusability of materials. A rich library of Harness templates is built in, covering common scenarios such as academic posters, WeChat public account covers, Xiaohongshu (Little Red Book) image posts, comics, infographics, product visuals, and more. These templates not only provide structured guidance for material generation but also optimize composition strategies for different platform display needs, ensuring the final result meets your expectations. You will get professional-grade visual content where each image is carefully designed, consistent in style, and with clear text.
Related Skills
View all
Hand-drawn Journal Infographic
This skill transforms the text you provide into a beautiful hand-drawn journal-style multi-grid knowledge graph image. It is designed for users who need to visualize complex information and enhance learning or sharing efficiency, making your knowledge presentation both clear and artistic. By deeply understanding your text material, this skill intelligently extracts 3 to 6 core points and matches each with a highly relevant cute hand-drawn icon. Whether abstract concepts or concrete objects, they are intuitively displayed through vivid visual elements. The entire graph is presented in soft macaron colors and watercolor texture, paired with a cream-colored notebook background with grid lines, creating a warm and creative learning atmosphere. You only need to provide a topic or a piece of text, and this skill will automatically analyze the content, conceive visual imagery, and generate a unique knowledge graph. The final output image features a hand-drawn title at the top and a structured multi-grid layout in the middle, with each grid separated by rounded, dashed borders or tape stickers, ensuring clear and easy-to-understand information hierarchy.
ImageBatch Article Illustration 2.0
This is an intelligent visual enhancement tool designed for content creators. It deeply understands the flow of your text and automatically creates high-quality supporting illustrations for key paragraphs of your articles. Whether your content resides in a personal knowledge base or you need to process externally imported long-form articles, it accurately identifies core concepts, turning abstract text into concrete visual language and significantly improving the reading experience and shareability of your content. The tool offers three distinct visual styles to suit different creation scenarios: a fresh and lively minimalist hand-drawn style fits essays and popular science; a rigorous and professional architectural blueprint style is the ideal choice for technical documents and research reports; and a modern flat illustration style perfectly matches the aesthetic needs of social media accounts and knowledge notes. For long-form content, it also intelligently suggests illustration layouts to ensure a reasonable visual distribution with key points highlighted. During generation, you can flexibly choose how images are produced. You can have the generated illustrations seamlessly embedded directly into the original document paragraphs for automated layout, or you can opt to receive a standalone image resource package for manual distribution. This end-to-end collaboration, from content analysis to visual generation, makes your writing more impactful and complex ideas instantly clear.
9D Visual Deconstruction
Break down one or more infographics, data visualizations, flowcharts, timelines, maps, knowledge graphs, and organizational charts into reusable visual and information structures. Understand precisely why an image is organized the way it is and reconstruct a similar communicative effect. The skill examines spatial composition, dimensionality and materials, color hierarchy, typography and layout, and module relationships, while also identifying chart encodings, reading paths, visual-symbol metaphors, and geographic or network relationships—so the analysis goes beyond simply describing what the style resembles. You will receive a parameterized visual deconstruction covering the canvas and compositional logic, visual hierarchy, text density, module topology, ways of expressing data and relationships, and the narrative flow within the image. For statistical charts, maps, and relationship networks, the output focuses on how data is mapped to visual variables such as color, position, size, connecting lines, and nodes. For complex subject-specific visuals, it further organizes the coordinated relationships among graphics, text, and metaphor systems. Based on this analysis, the skill generates detailed, clearly structured English image-generation prompts suitable for infographic recreation, visual research, design reference, brand content exploration, and concept development. Whether you provide an existing image or an idea for a theme and visual direction, you will receive prompts aimed at reproducing the underlying structure—not just a vague description of the style.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
