Multilayer Generative Image Editing for Preserved Workflow History
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional generative AI image editing techniques are destructive, losing the history of creative processes and workflow steps, and lack means for navigating or persisting these steps across sessions or users.
Innovation Solution
Implementing a non-destructive image editing system that uses a multilayer document editor to store generative AI information, including prompts, variations, and metadata in a 'generative layer', allowing for continuous editing and regeneration of image content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional generative AI image editing techniques are used, then new image content can be generated, but the original image history and workflow steps are lost due to destructive flattening
Solution Approach 1:
The patent segments the image editing process into multiple independent layers, where each layer represents a distinct editing step or generation operation. This allows the system to preserve the original image and each intermediate modification separately, preventing information loss while enabling continuous editing. The layer structure divides the monolithic editing process into manageable, reversible components.
Solution Approach 2:
The patent introduces a temporal dimension to image editing by organizing operations in a sequential layer structure. Each layer captures the state of the image at a specific point in the editing process, transforming a flat, destructive operation into a multi-dimensional workflow that preserves historical information across time steps.
2Adaptability or versatility
If generative AI models generate new content, then creative capabilities are enhanced, but the process becomes destructive by overwriting original content
Solution Approach 1:
The system segments the generative AI output into discrete layers that can be independently managed. Each generation operation creates a new layer rather than modifying the original, allowing the system to maintain both the original content and the generated variations without destructive overwriting.
Solution Approach 2:
The patent implements a copying mechanism where generative AI operations create copies of image content in new layers rather than modifying the source. This allows multiple versions and variations to coexist, preserving the original while enabling versatile generative operations.
3Loss of information
If multilayer document editor stores all generative information, then workflow persistence is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal layer structure that can accommodate multiple types of information (original images, generated content, masks, parameters) within a single standardized framework. This multi-functional approach reduces complexity by providing a unified interface for diverse editing operations rather than requiring separate systems for each function.
Solution Approach 2:
The system manages complexity by parameterizing layer properties and relationships, allowing flexible configuration of layer attributes such as visibility, blending modes, and generation parameters. This parameter-based approach enables sophisticated workflow persistence without hardcoding complex structural rules.
Data Source
AI summary
Systems and methods for non-destructive image editing are described. Embodiments are configured to obtain, via a document editor user interface, a selection input identifying a portion of a first image displayed in the document editor user interface. According to some aspects, the first image is part of a first layer of a multilayer document. Embodiments are further configured to: obtain an image generation text prompt; generate, using an image generation network, a second image based on the first image and the image generation text prompt; and present, via a multilayer window of the document editor user interface, a first element representing the first layer of the multilayer document and a second element representing a second layer of the multilayer document. The first element includes the first image and the second element includes the second image and a mask corresponding to the portion of the first image.