AI Comic Image Generation via Keyword Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing methods for generating comic images from novels are labor-intensive and time-consuming, requiring manual effort which reduces efficiency.
Innovation Solution
A method that uses artificial intelligence to generate comic images by acquiring a novel, determining keyword information for comic storyboards, and using a mapping relationship library to convert this information into model input for AI image generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual method is used to generate comic images according to comic script structure, then image quality and creativity can be maintained, but time cost and labor cost increase significantly
Solution Approach 1:
The patent replaces the manual mechanical process of comic image creation with an automated AI-based system. The workflow automatically extracts keywords from comic scripts, maps them to image generation parameters, and generates images using AI models, eliminating the need for manual drawing or image selection while maintaining quality consistency.
Solution Approach 2:
The system enables self-service automation where the comic image generation process serves itself through automated keyword extraction, parameter mapping, and image generation. The workflow independently processes comic scripts and generates corresponding images without requiring manual intervention at each step, achieving efficient automated production.
2Productivity
If automated AI generation is used to create comic images, then productivity and efficiency are improved, but the complexity of the generation system increases
Solution Approach 1:
The patent segments the complex comic image generation process into distinct modular components: keyword extraction module, parameter mapping module, and image generation module. Each module handles a specific task independently, making the overall system more manageable and easier to maintain despite the automation complexity.
Solution Approach 2:
The patent introduces a mapping relationship library as an intermediary between keyword extraction and image generation. This library stores predefined mappings between comic script keywords and AI image generation parameters, acting as a bridge that simplifies the interface between different system components and reduces direct complexity.
3Productivity
If keyword mapping and AI generation are used to automate comic image creation, then labor cost is reduced, but the precision of mapping relationships and generation accuracy must be maintained
Solution Approach 1:
The patent performs preliminary action by pre-building a mapping relationship library that contains predefined mappings between comic script keywords and AI image generation parameters. This preparation work is done in advance, allowing the system to quickly and accurately translate keywords to images during actual generation without compromising precision for speed.
Solution Approach 2:
The system incorporates feedback mechanisms where the generated images are evaluated against the original comic script requirements. The mapping relationship library can be refined based on generation results, and parameters can be adjusted to improve accuracy while maintaining efficient automated generation.
Data Source
AI summary
A method of generating a comic image, a computer device and a storage medium are provided. The method includes: acquiring a target novel to be used to generate a comic; determining keyword information corresponding to comic storyboards that correspond to the target novel in a plurality of comic image generation dimensions according to a content of the target novel; with respect to any comic storyboard of the comic storyboards, determining target model input information corresponding to the comic storyboard according to a mapping relationship library between dimension keywords and model input information, and the keyword information of the comic storyboards in the comic image generation dimensions, wherein the dimension keywords include a keyword that has been determined in any comic image generation dimension; and using an artificial intelligence model to generate a comic image corresponding to the comic storyboard according to the target model input information.


