System Development Student transitioning from the construction industry.
I combine a strong work ethic with a passion for building clean, efficient software.
Four local-first tools for the AI image generation workflow: organize models, prep training data, browse generations, and inspect metadata. Everything runs on your machine. Nothing leaves it.
| App | Purpose | |
|---|---|---|
 |
Latent Library | Asset manager for AI generations |
 |
Latent Model Organizer | .safetensors model library manager |
 |
Latent Tools | Dataset prep & LoRA training utility |
 |
Metadata Viewer | AI image metadata extraction |
Search, tag, and de-duplicate your AI generations without touching the cloud. Full-text SQLite search, ComfyUI graph parsing, visual duplicate detection, and offline AI auto-tagging, all running locally.
Stop hand-sorting hundreds of checkpoints and LoRAs. Automatically sorts your model library by architecture using zero-copy .safetensors header parsing, and fetches Civitai metadata for everything it finds.
Turn a folder of raw images into a training-ready dataset. AI watermark removal (Florence-2 + LaMa), multi-format export, and image captioning (Qwen2-VL), all on your own GPU. No uploads, no API keys, no content filters.
The fast, no-frills companion for pulling generation metadata out of a folder of images. Recursive parsing across multiple platforms, JSON persistence, and a custom dark theme, in a JavaFX app that does one thing well.
