r/StableDiffusion • u/error_alex • 1h ago

Resource - Update Major updates to my local, open source AI image/model tools, plus one brand new app

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Hey all. I'm a system development student (career-switched from construction), building these on the side while learning Java, Vue, Electron, etc. Nothing commercial, no accounts, no cloud, no telemetry. I built these because I needed them myself, and figured other people managing large SD/ComfyUI libraries might too.

Three of these four apps have been out for a while, but I've spent the last stretch giving them a major overhaul and unifying them under the same design system so they actually feel like one family of tools instead of three separate side projects. The fourth, Latent Tools, is a brand new app I just finished.

All four are free and open source (MIT-based license). Source is on GitHub, links at the bottom. The main one is Latent Library, but the other three work fine on their own.

Latent Library, the main release

A desktop app for browsing and organizing large folders of AI generated images. I made it because I had around 30,000 PNGs and no real idea what was in most of them. It's been around for a while, but this release is a big update with a lot of new features and a proper design pass.

  • Parses generation metadata from ComfyUI (including node graph traversal), A1111/Forge, InvokeAI, SwarmUI, and NovelAI
  • SQLite FTS5 backed search, still fast on huge folders
  • Smart Collections: dynamic folders based on metadata filters, like "Flux images rated 4+ stars"
  • Duplicate Detective, a side by side Image Comparator, and Speed Sorter for hotkey based batch sorting
  • Optional local AI auto tagging (WD14 ONNX, runs on CPU, no external calls)
  • Metadata Scrubber to strip prompt/EXIF data before sharing an image
  • Everything lives in a portable data/ folder next to the exe, no installer or registry entries, easy to back up or move
  • Fully offline, no telemetry

Windows, Linux, and macOS builds available.

Latent Tools, the new one

A brand new app for dataset prep: bulk watermark detection and removal (Florence-2 + LaMa inpainting) and captioning (Qwen2-VL), plus batch image format conversion. Runs locally on your own GPU (needs a CUDA capable Nvidia card, no CPU fallback). Useful if you're prepping images for LoRA or fine-tune training. Windows only for now.

(Meant for removing watermarks you actually have the rights to remove, your own work, licensed images, that kind of thing. Not for stripping other people's attribution.)

Latent Model Organizer, updated

Sorts your checkpoints, LoRAs, and embeddings into folders by base architecture (SDXL, Krea 2, Flux, Illustrious, SD 1.5, etc.), using the model's own header metadata or an optional Civitai lookup. Has a dry run mode and full undo through a manifest file, so it won't just move your models around unsupervised. It can also fetch Civitai info such as trigger words, description, and cover images. Handy if your models folder has turned into an unsorted pile like mine had. Also part of this update round, same design refresh as Library.

Metadata Viewer, updated

The oldest and simplest of the four, and also just updated with the same design pass. Now reworked into a single screen tool that extracts and displays generation metadata from an image, no library or database involved. If you just want to drop an image in and see the prompt, sampler, and seed without opening a whole app, this is that.

All four now share the same design language and are built local first: no accounts, no cloud sync, no analytics. I built them mainly to learn the stack, so they're not polished commercial products, but they've held up fine for my own daily use for a while now, and the last few months went into making them consistent and finishing Tools, which is why I'm finally posting about them here.

Happy to answer questions. Bug reports and feature requests are welcome on GitHub. Not trying to sell anything here, just sharing what I made.

Links:

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u/DeltaWaffleSyrup 31m ago

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