A high-performance JavaFX desktop application designed to unify generation metadata across the fragmented AI image generation ecosystem. It provides instant extraction, private local persistence, and deep-node inspection for professional artists and developers.
| Extractor Portal | Favorites Library |
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| Drag & Drop Extraction | Persistent Card-Based Library |
View Advanced Features
| Raw JSON Viewer | Save to Favorites |
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| Deep Inspection for Complex Graphs | Themed Undecorated Dialogs |
- Universal Compatibility: Full support for ComfyUI, SwarmUI, A1111, Forge, Reforge, Forge Neo, and SD-Matrix.
- Deep-Recursive Parsing: Aggressive extraction engine that identifies models, samplers, and prompts buried within complex, nested JSON node graphs.
- Privacy-First Persistence: All generation data and thumbnails are stored locally in human-readable JSON; your workflows never leave your machine.
- Developer-Centric UI: A custom-coded "Obsidian & Indigo" theme featuring a Raw Metadata Inspector for debugging non-standard node outputs.
- Lightweight Performance: Programmatic JavaFX (No FXML) ensures near-instant launch times and zero-lag image processing.
The application implements a Model-View-Service (MVS) architecture to decouple business logic from the interface.
- Singleton Pattern: Thread-safe global access to image registries.
- Recursive Strategy: Adaptive parsing that navigates nested node structures found in ComfyUI and SwarmUI.
- Reactive Binding: JavaFX properties ensure real-time UI updates and responsive text wrapping.
- Technology Stack: Java 8 (Liberica JDK Full), Jackson (JSON Serialization), Metadata Extractor (Drew Noakes), Ikonli (FontAwesome).
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Clone the repository.
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Build with Maven:
mvn clean install
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Run:
mvn javafx:run
Distributed under the MIT License. Free for personal and commercial use.
If the AI Metadata Viewer has streamlined your workflow, consider supporting its ongoing development. Your contributions help maintain compatibility with new AI platforms and node structures.
Developed by
Copyright (c) 2025 Alexander Nilsson
