u/RagingRectangle

Face-hugger is a new project I've been working on to improve Hugging Face's search engine which could be described as terrible at best.

• Attempts to analyze files to verify their model (1.2M+ so far)
• Fetches training metadata when available
• Filter by model family or sub-type
• Other filter options: download/like count, date range, gated filter
• Easily download files directly from HF
• Add repos, files, or authors to your favorites list to easily find later
• Hide repos or authors to avoid seeing cloned repos
• Badge color customization to easily distinguish models when scrolling
• No account creation needed, everything is stored locally in your browser
• It's a work in progress so if you find bugs/have suggestions there's a Discord link in the About section

Everything runs locally in your browser, no server, no uploads, no tracking. The app fetches the file manifest from the HF static Space, resolves thumbnails from the samples dataset, walks the model repos for sizes, and streams the safetensors directly from Hugging Face to your chosen folder. (Link in comments)

• Grid of all 1,500+ available characters
• Filter by model type (locon, lora, flux, klein9, krea2, zimage, etc.) and gender
• Optional tag filtering (actor, singer, model, influencer, etc.)
• Advanced trainer filtering (onetrainer, refmod, etc)
• Search bar to find characters by name
• Batch selection (Select Visible, Invert Visible, Deselect All)
• Presets: save, load, export, and import your selection state
• Folder picker: choose a destination, and the app scans it, compares file sizes to the source, and downloads only what's missing or incomplete
• Concurrent downloads with retry logic and size verification
• Works as a PWA, installable and works offline once cached
• Browser support: The grid and presets work in any browser, but downloading requires the File System Access API, which is only available in Chrome and Edge.