AI Content Generation Component for Role Design Automation
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Solution Overview
Problem
In the role designing process, users face inefficiencies and high time costs when searching for reference information such as appearance and costume images, requiring multiple searches across various platforms.
Innovation Solution
A generation component with multiple portals is used to obtain description information associated with a role, which is then provided to a first model to generate input information for a second model, resulting in efficient generation of media content like images, audio, and video.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If users manually search for reference information across various platforms, then they can find reference images, sounds, and videos, but the process requires multiple searches and incurs high time costs
Solution Approach 1:
The system enables self-service by allowing users to input role description information and automatically generating relevant media content (images, audio, video) through AI models, eliminating the need for manual searching across multiple platforms and reducing time costs significantly
Solution Approach 2:
The patent replaces the mechanical manual searching process with an automated AI-based generation system that uses language models and image generation models to create reference content directly from text descriptions, substituting human search operations with automated intelligent systems
2Ease of operation
If users manually search for reference information, then they can gather required materials, but the interaction process is difficult and time-consuming
Solution Approach 1:
The system performs self-service by automatically generating reference information from user-provided role descriptions, eliminating the need for users to manually search and compile materials, thereby simplifying the operation process and reducing time investment
3Productivity
If a multi-model generation system is implemented, then media content can be generated efficiently, but the system complexity increases
Solution Approach 1:
The generation component is segmented into multiple independent models (language model for text generation, image generation model for visual content, audio model for sound effects, video model for motion sequences), each specialized in generating specific media types, allowing parallel processing and efficient content creation while maintaining manageable complexity through modular architecture
Data Source
AI summary
According to embodiments of the present disclosure, a method, device, and storage medium for content generation are provided. The method includes: displaying a generation component for generating media content related to a role, the generation component comprising a plurality of generation portals; obtaining, via the generation component, description information associated with the role, wherein the description information corresponds to at least one of the plurality of generation portals; providing the description information to a first model to generate input information for a second model; and displaying, via the generation component, a set of media contents generated by the second model based on the input information. Accordingly, the embodiments of the present disclosure can efficiently generate media content associated with a role by using a generation component, thereby reducing the interaction difficulty for generating media content related to the role, and reducing the time cost.


