Prompt-Guiding Interface for Private On-Device Image Generation
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Solution Overview
Problem
Existing generative artificial intelligence tools are intimidating for casual users, pose safety concerns, and require sending private photos to cloud-based resources, while lacking intuitive interfaces for effective prompt generation.
Innovation Solution
An on-device media-generation service that includes a prompt-guiding interface and graphical style adapters to assist users in generating descriptive prompts for generating high-quality images and videos, with graphical style adapters to ensure privacy and safety, using a prompt-guiding interface that suggests concepts and provides quick feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users interact with existing generative AI tools, then image generation capability is achieved, but user intimidation and safety concerns increase
Solution Approach 1:
The patent introduces a prompt-guiding interface as an intermediary layer between the user and the generative AI model. This interface provides structured guidance, suggested prompts, and controlled input options that mediate user interactions, making the complex AI system more accessible while maintaining safety through controlled prompt generation and filtering mechanisms
Solution Approach 2:
The system segments the prompt generation process into multiple stages and components, including suggested prompts, user selections, and parameter adjustments. This segmentation breaks down the complex interaction into manageable steps, reducing user intimidation while maintaining safety through staged validation and control
2Manufacturing precision
If private photos are sent to cloud-based resources, then image generation quality is improved, but privacy preservation is compromised
Solution Approach 1:
The patent extracts the image generation capability from cloud-based services and implements it locally on the user's device. By taking out the generative AI model from the cloud and placing it on-device, the system maintains high-quality image generation while eliminating the need to send private photos to external servers, thus preserving user privacy
Solution Approach 2:
The system uses on-device machine learning models that are local copies or versions of generative AI capabilities. These on-device models replicate the image generation functionality without requiring connection to cloud services, enabling privacy-preserving operation while maintaining generation quality
3Productivity
If prompt-guiding interface provides detailed suggestions, then prompt generation effectiveness is improved, but interface complexity increases
Solution Approach 1:
The prompt-guiding interface dynamically adapts its level of guidance and suggested prompts based on user interactions, selections, and progress through the generation process. This dynamic behavior provides detailed suggestions when needed while simplifying the interface for experienced users, effectively managing complexity while maintaining productivity
Data Source
AI summary
The present technology pertains to an on-device media-generation service. Since the media-generation service runs entirely on user's device, the user's privacy is preserved and they can be comfortable interacting with their sensitive data. The present technology also makes the media-generation service simple to use and achieve desired results. The present technology provides a prompt-guiding interface that makes suggestions and guides users toward the selection of descriptive prompts that are more likely to achieve a consistently good result. The prompt-guiding interface is further combined with a fast operation that can generate multiple candidate previews from which a user can select a desired output. This gives users quick feedback on the quality of their prompt and allows users to easily edit their prompts to see updated previews.