Image Generation Interface with Style Reference Selection
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Solution Overview
Problem
Existing image generation tools require users to accurately describe the images they want to generate, which can be challenging for users without a professional painting basis, leading to generated images that often fail to meet their expectations.
Innovation Solution
An image generation method and apparatus that displays a target interface with style reference materials, allowing users to select a style and input information in a chosen image generation mode (text-to-image or image-to-image), to generate images that match the selected style and input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users are required to accurately describe images they want to generate, then the precision of image generation can be improved, but the ease of operation deteriorates for users without professional painting basis
Solution Approach 1:
The patent introduces style reference materials as an intermediary between the user and the image generation system. Instead of requiring users to directly describe complex image features, they can select from pre-defined style references that encapsulate professional design knowledge, thereby maintaining generation precision while improving ease of operation
Solution Approach 2:
The system performs preliminary action by pre-processing and organizing style reference materials before the user needs them. Style references are prepared in advance with various artistic styles, compositions, and techniques, so users can directly select from these pre-processed options rather than having to describe everything from scratch
2Adaptability or versatility
If users without professional painting basis use image generation tools, then the accessibility of the tool is improved, but the accuracy of the generated images deteriorates
Solution Approach 1:
Style reference materials serve as a mediator that bridges the gap between non-professional users and professional image generation requirements. These references contain encoded expert knowledge that automatically guides the generation process, allowing accessibility improvement without sacrificing accuracy
Solution Approach 2:
The system enables self-service by providing users with curated style references that automatically apply professional design principles. Users don't need to understand complex artistic concepts; the system self-adjusts based on the selected reference, maintaining accuracy while improving accessibility
Data Source
AI summary
The present disclosure provides an image generation method and apparatus, a computer device, and a storage medium. The image generation method includes: displaying a target interface for performing intelligent image generation, the target interface displaying a plurality of style reference materials, and each style reference material including style indication information and a corresponding sample image; determining a target style reference material selected from the plurality of style reference materials by a user, and obtaining input information from the user in an image generation mode that is selected; and according to the input information in the image generation mode and the target style reference material, generating and displaying at least one target image.