A robust, high-performance desktop asset manager designed specifically for the AI image generation ecosystem. It unifies metadata parsing across fragmented formats, providing SQL-backed search, Smart Collections, live folder monitoring, and AI-powered interrogation in a modern, multi-themed desktop interface.
Unified grid gallery with instant SQLite search and dynamic metadata parsing.
Speed Sorter: Rapidly categorize massive generation dumps using keyboard hotkeys.
Image Comparator: Pixel-peep fine details between two generations with the draggable slider.
View More Features (Collections, Duplicate Detective & Custom Themes)
Smart Collections: Create dynamic, auto-populating folders based on complex metadata filters.
Duplicate Detective: Identify and manage identical or similar generations across your entire library.
Choose between Deep Neon, Clean Light, and Dark Premium themes to suit your workspace.
Designed for the privacy-conscious artist, this application operates on a strictly "Local-First" philosophy.
- Portable Desktop App: Runs as a standalone
.exewith all data (database, thumbnails, settings) stored in a localdata/folder. No installer required. - Bundled Runtime: Includes a self-contained Java 21 environment. No system-wide Java installation is required.
- 100% Offline / No Telemetry: There are no "cloud sync" features, analytics, or background API calls. Your prompts and generation data never leave your machine.
- Privacy Scrubbing: Integrated Scrubber View allows you to sanitize images before sharing. It strips hidden generation metadata (Prompts, ComfyUI Workflows, Seed data) while preserving visual quality.
- Universal Metadata Engine: Advanced parsing strategies for the entire stable diffusion ecosystem.
- ComfyUI: Traverses complex node graphs (recursive inputs) and API formats to identify the true Sampler, Scheduler, and LoRAs used.
- Automatic1111 / Forge: Robust parsing of standard "Steps: XX, Sampler: XX" text blocks.
- Others: Native support for InvokeAI, SwarmUI, and NovelAI.
- Note: Metadata extraction requires images to contain embedded EXIF or PNG text chunks (standard for most AI generators).
- AI Auto-Tagger: Integrated WD14 ONNX model for local image interrogation. Automatically generate descriptive tags for your library without external API calls.
- Library Management:
- Smart Collections: Create dynamic collections based on metadata filters (e.g., "All images using Flux model with > 4 stars").
- Visual Previews: Collections feature a 3D-stacked image preview for immediate visual context.
- Pinned Folders: Bookmark frequently accessed directories for rapid navigation.
- Star Ratings: Rate images (1-5 stars) with instant filtering.
- Speed Sorting: A dedicated mode for processing high-volume generation batches.
- Hotkeys: Instantly move images to configurable target folders using numeric keys (1-5).
- Recycle Bin: Safely move unwanted results to the OS trash (Recycle Bin/Trash).
- Performance:
- FTS5 Search: Powered by SQLite's Full-Text Search for near-instant results across tens of thousands of images.
- Virtualization: Uses virtual scrolling to handle massive folders without UI lag.
- Project Loom: Leverages Java 21 Virtual Threads for non-blocking background indexing.
- Modern UX & Customization:
- Multi-Theme System: Choose between Deep Neon Cinematic, Minimalist Light, and Dark Gold themes.
- Image Comparator: Side-by-side comparison tool with a draggable slider.
- OS: Windows 10/11 (64-bit).
- Memory:
- Minimum: 4GB RAM.
- Recommended: 8GB+ RAM (especially when using the AI Auto-Tagger).
- Storage: ~500MB for the application + additional space for the WD14 AI model (~300MB) and thumbnail cache.
- GPU: Not required. AI interrogation runs efficiently on the CPU via ONNX Runtime.
The application is built as a hybrid desktop application combining a Spring Boot backend with a Vue.js frontend, packaged via Electron.
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Backend (Java 21 + Spring Boot 3.3):
- SQLite + FTS5: High-performance local indexing and relational storage.
- Virtual Threads: Optimized for heavy I/O tasks (file scanning and metadata extraction).
- ONNX Runtime: Local execution of AI models with automated native resource management and idle-eviction.
- Flyway: Automated database schema migrations.
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Frontend (Vue 3 + PrimeVue):
- Pinia: Centralized state management for the image library and UI state.
- PrimeVue: Premium UI component library with custom glassmorphism overrides.
- Vite: Modern build pipeline for the frontend assets.
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Desktop (Electron):
- Process Management: Automatically spawns and terminates the Spring Boot backend.
- Native Integration: Provides access to native folder selection dialogs and OS file explorer.
Distributed under the MIT License. Free for personal and commercial use.
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Developed by
Copyright (c) 2026 Alexander Nilsson
