I'm not much of an artists but my project PixlStash is a locally hosted, open‑source picture management server for organising, filtering, tagging and reviewing large image collections, especially useful for AI‑generated datasets.

There’s a Demo Site so people can try PixlStash without installing anything.

Features

• Automatic tagging, descriptions, face extraction
• Likeness calculations, sorting, filtering
• Batch operations
• Export with captions
• Sync folders
• ComfyUI-integration
• Lots of keyboard shortcuts
• Lost of other features

New to 1.2

• Share Picture Sets, Projects, Characters or individual images using read‑only tokens
• Optional user‑ or company‑specific watermarking for shared images
• Filter on shared items to find and remove shares easily
• Limit full logins to your local network/VPN while keeping read‑tokens available over the internet
• ComfyUI nodes
• AI-Toolkit source example
• A cleaner UI

Read full details here.

PixlStash is a locally hosted, open‑source picture management server for organising, filtering, tagging and reviewing large image collections, especially useful for AI‑generated datasets.

This update focuses on three areas: easy sharing, a cleaner UI, and much faster background processing.

There’s also now a Demo Site so people can try PixlStash without installing anything.

But also, I have put together some ComfyUI nodes that can be used to load and save from PixlStash. So now you can both run some ComfyUI workflows within PixlStash and use PixlStash within ComfyUI.

Other new features

Easy sharing

• Share Picture Sets, Projects, Characters or individual images using read‑only tokens
• Optional user‑ or company‑specific watermarking for shared images
• Create shares directly from right‑click menus
• Filter on shared items to find and remove shares easily
• Limit full logins to your local network/VPN while keeping read‑tokens available over the internet

UI improvements

• A cleaner sidebar and toolbar layout (desktop + mobile)
• Better selection behaviour
• More consistent context menus
• Picture Sets can now use icons + colors instead of tiny thumbnails
• General polish across the app

Faster background processing

• The asynchronous task system has been rewritten to use pipelining instead of concurrent GPU tasks
• This reduces VRAM usage and makes face extraction, tagging, embedding and likeness checks much faster through less contention

Other fixes

• Improved Docker commands for helping you add reference and import folders to Docker instances
• Fixed large ZIP‑file uploads
• A handful of smaller bugfixes

Read full details here. More information about the API here (including an AI-toolkit example).

GitHub page:
https://github.com/pikselkroken/pixlstash

GitHub page for Nodes and example Workflow:
https://github.com/Pikselkroken/ComfyUI-PixlStash/

PixlStash is a locally hosted, open‑source picture management server for organising, filtering, tagging and reviewing large image and video collections, especially useful for AI‑generated datasets.

1.2 focuses on three areas: easy sharing, a cleaner UI, and much faster background processing.
There’s also now a Demo Site so people can try PixlStash without installing anything.

Easy sharing

• Share Picture Sets, Projects, Characters or individual images using read‑only tokens
• Optional user‑ or company‑specific watermarking for shared images
• Create shares directly from right‑click menus
• Filter on shared items to find and remove shares easily
• Limit full logins to your local network/VPN while keeping read‑tokens available over the internet

UI improvements

• A cleaner sidebar and toolbar layout (desktop + mobile) with context menus and a more compact layout
• Better selection behaviour
• Picture Sets can now use icons + colors instead of tiny thumbnails
• General polish across the app

Faster background processing

• The asynchronous task system has been rewritten to use pipelining instead of concurrent GPU tasks
• This reduces VRAM usage and makes face extraction, tagging, embedding and likeness checks much faster through less contention

Other fixes

• Improved Docker commands for helping you add reference and import folders to Docker instances
• Fixed large ZIP‑file uploads
• A handful of smaller bugfixes

Read full details of what is new here or look at a feature showcase here.

GitHub page:
https://github.com/Pikselkroken/pixlstash

PixlStash is a locally hosted, open source, picture management server for organising, filtering, tagging and reviewing large image collections.

The main target for version 1.1.0 was to support existing self-organised reference folders, so you can index, tag and include pictures from folders you've carefully organised yourself. But there are some more features as well:

• Reference folders and automatic import folders in the UI
• Statistics sidebar that shows tag distribution, score distribution, tag prediction confidence and tag co-occurence to help you evaluate your training sets
• Multi-select of characters and picture sets with union, overlap, difference or uniqueness (XOR) views
• Right-click context menus in the ImageGrid and main sidebar
• Optionally sync caption files with reference folders so that the PixlStash and folder captions are kept in sync.
• A few bug-fixes including making sure we get error messages from ComfyUI through to the PixlStash UI properly.

Check out the What's new page!

This comes in addition to existing features like:

• Slick browser based interface with many keyboard shortcuts
• Automatic tagging and natural language captions (CPU or GPU)
• Face detection and similarity sorting
• Bulk operations (tag or run image filters on many pictures at once)
• Smart Score sorting using an aesthetics model + defect detection
• Character, Picture Sets and Projects for structured organisation
• API with token authentication for integrating with your other tools
• Integration with ComfyUI for running simple workflows directly within PixlStash
• Plugin system for developing your own image filters
• Transparent resource usage with a VRAM budget and task overview
• Tag filtering with confidence thresholds

PixlStash is a locally hosted, open source, picture management server for organising, filtering, tagging and reviewing large image collections.

The main target for version 1.1.0 was to support existing self-organised reference folders, so you can index, tag and include pictures from folders you've carefully organised yourself. But there are some more features as well:

• Automatic import folders in the UI along with the reference folders
• Statistics sidebar that shows tag distribution, score distribution, tag prediction confidence and tag co-occurrence to help you evaluate your training sets
• Multi-select of characters and picture sets with union, overlap, difference or uniqueness (XOR) views
• Right-click context menus in the Image Grid and main sidebar
• Optionally sync caption files with reference folders so that the PixlStash and folder captions are kept in sync.

Check out more of what's new!

This comes in addition to existing features like:

• Slick browser based interface with many keyboard shortcuts
• Automatic tagging and natural language captions (CPU or GPU)
• Face detection and similarity sorting
• Bulk operations (tag or run image filters on many pictures at once)
• Smart Score sorting using an aesthetics model + defect detection
• Character, Picture Sets and Projects for structured organisation
• API with token authentication for integrating with your other tools
• Integration with ComfyUI for running simple workflows directly within PixlStash
• Plugin system for developing your own image filters
• Transparent resource usage with a VRAM budget and task overview
• Tag filtering with confidence thresholds

You can also go straight to the GitHub repo.