Restore only what you choose
A full restore rolls all your metadata back to a point in time, but you don't always want that. Select any pictures and restore just their metadata from a snapshot, leaving everything else exactly as it is.
PixlStash 1.5 puts a safety net under all your organising work. Automatic, compressed snapshots capture your library's metadata: tags, scores, faces, descriptions, and how everything is organised, so any mistake is one click from undone. Roll all your metadata back, or restore just the pictures you select.
(Your image files are never touched.)
A full restore rolls all your metadata back to a point in time, but you don't always want that. Select any pictures and restore just their metadata from a snapshot, leaving everything else exactly as it is.
A breadcrumb trail above the grid always shows where you are: project, character, or set. This allows you to jump back up the hierarchy with a single click. No more guessing how you reached a view or navigating back from scratch.
Reorganise on the fly: grab a character or picture set in the sidebar and drop it onto another project. Their pictures are re-assigned for you — reference-aware, so a picture that still belongs elsewhere stays put. Reshaping large libraries is now a drag away.
A snapshot copies only your metadata database — never the image files, which would be wildly impractical to duplicate over and over. That database is compressed with zstd for roughly a 3× saving, yet still keeps the expensive parts — CLIP embeddings and face data — so a restore comes back fully populated with no re-tagging or re-embedding pass afterwards. Retention follows a true grandfather-father-son policy: the most recent 7 daily, 4 weekly, and 12 monthly snapshots are kept and the oldest are pruned for you.
Everything the snapshots panel does is a plain REST call, so you can
script metadata snapshots and restores straight into your own
pipelines. Authenticate with an owner token and talk to the
endpoints under /api/v1.
Authorization: Bearer <token>
List every restore point, newest first.
curl -H "Authorization: Bearer $TOKEN" \
https://your-server/api/v1/snapshots
[
{
"id": 42,
"kind": "DAILY",
"label": null,
"created_at": "2026-05-31T06:42:37Z",
"picture_count": 1030,
"byte_size": 4523754,
"is_compatible": true
}
]
Take a manual snapshot right now, optionally labelled.
curl -X POST https://your-server/api/v1/snapshots \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"label": "before big cleanup"}'
{ "id": 51, "kind": "MANUAL", "label": "before big cleanup", "picture_count": 1030 }
Dry-run a full restore — it counts only what actually changes.
{
"summary": {
"pictures_to_revert": 12,
"pictures_to_recreate": 3,
"pictures_to_delete": 1,
"pictures_unchanged": 1014,
"missing_files": 0
},
"warnings": []
}
Restore all metadata to this snapshot — a safety snapshot is taken first.
curl -X POST https://your-server/api/v1/snapshots/42/restore \
-H "Authorization: Bearer $TOKEN"
{ "snapshot_id": 42, "resource_type": "full", "missing_files_count": 0, "errors": [] }
Selective restore — bring back only the resources you list.
curl -X POST https://your-server/api/v1/snapshots/42/restore/batch \
-H "Authorization: Bearer $TOKEN" \
-H "Content-Type: application/json" \
-d '{"resources": [{"type": "picture", "id": 8123},
{"type": "picture", "id": 8124}]}'
# pip install requests import requests r = requests.post( "https://your-server/api/v1/snapshots/42/restore/batch", headers={"Authorization": f"Bearer {token}"}, json={"resources": [{"type": "picture", "id": 8123}]}, ) print(r.json()) # {'snapshot_id': 42, 'upserted_count': 1, 'errors': []}
{ "snapshot_id": 42, "upserted_count": 2, "errors": [] }
Follow upgrade steps for pip, Docker, Windows installer, or source builds.
PixlStash 1.4 adds powerful new ways to find pictures. Reverse image search is now a right-click away in the grid and with a full API, wired straight into your generation workflows with the new ComfyUI-PixlStash nodes.
The
ComfyUI-PixlStash
nodes expose PixlStash search inside ComfyUI. Drop in a
reference image and the
PixlStash Likeness Search node returns the
closest matches from your library. Switch between
face_search and picture_likeness modes
to match on a person or on an overall picture. Store the
pictures straight back into your library with the
Picture Saver node.
Describe what you're looking for in plain language: "man searching for photos" and the PixlStash Semantic Search node returns matching pictures ranked by relevance, with a similarity threshold and result limit you control.
Batch multiple characters, sets, and individual pictures into a
single likeness search and combine them with
mean or min. Surface the pictures
closest to all of your inputs at once, not just one. Old man
drinking beer by a river? No problem!
The grid keeps getting quicker. 1.4 builds on the 1.3 loading overhaul with further optimisations, so even very large libraries feel more responsive as you scroll, filter, and search.
The image grid now loads visually very quickly and fills in details asynchronously — even at 30 000+ images it feels snappy. Plus full JoyCaption support, selectable tag and description engines, and a URL that remembers where you were.
The settings page now lets you choose which plugin handles automatic tagging and which generates image descriptions. Each engine has its own parameter controls — tweak precision, prompt style, and thresholds without leaving the settings panel.
Every view — grid, character, picture set, project — now has its own URL. Bookmark it, share it with a teammate, or simply refresh and land exactly where you left off. No more navigating back from scratch after an accidental reload.
Right-click any image (or use the selection toolbar) to re-tag or regenerate a description using the engine of your choice. A hover submenu lists every available model so you can pick the right one for the job without touching the settings page.
The image grid renders the visual content immediately and fills in metadata — scores, tags, faces — asynchronously in the background. The result is a dramatically snappier feel: thumbnails appear before the first server response has even finished, and the grid stays responsive while data loads in. This is the single biggest day-to-day improvement in 1.3.
The biggest visual overhaul since launch: a redesigned sidebar, new toolbar, and context menus throughout. Plus, share pictures, sets, characters and projects with a single link.
Share individual pictures, sets, characters, and projects with anyone using a read-only link — no account required for viewers. Tokens are scoped, revocable, and never expose your full library. Ideal for sharing work-in-progress with clients or collaborators. Optionally add your own watermarks to shared pictures for branding.
Recipients see a clean, read-only view of exactly what you shared. No login, no noise — just the content you chose to share.
The toolbar has been redesigned for clarity. Search, filters, and sort controls are better organised, and the new layout scales more naturally on smaller screens.
Right-click anywhere in the grid or sidebar to access actions for the item under the cursor. Rate, tag, assign, move, share, or delete without leaving your current view.
Give each picture set its own coloured icon instead of relying on the automatic thumbnail. Instantly recognise your sets at a glance, no matter how similar the contents look.
People, sets, projects, and folders are easier to navigate. The new sidebar is more compact, loads faster, and shows more at a glance.
Tagging and face extraction are significantly faster thanks to bulk database operations and smarter grid update scheduling. Watch real-time throughput in the statistics sidebar task manager.
PixlStash now checks for known security issues in the ChangeLog and alerts you directly in the UI when a fix is available along with the security level and affected versions. Stay informed and keep your installation secure with ease.
This release adds reference folder support, letting you keep your existing folder structure while still benefiting from PixlStash's powerful organisation and metadata features.
Get useful statistics about your picture sets. See tag distribution and tag prediction confidence. A powerful way to understand your training sets.
See statistics about your pictures including size distribution and score distribution. Filter image views by clicking on elements in the sidebar. Quickly find outliers to review or delete.
Hold Ctrl and click names in the People or Sets sidebar to build a multi-selection, then choose how to combine them using the toolbar at the bottom of the grid. Union shows all pictures from any selected person or set. Overlap finds pictures where every selected person appears together. Difference subtracts one set from another — useful for finding pictures unique to a base set. Unique (XOR) returns pictures that belong to exactly one of the selections, letting you quickly spot what each person or set contributes exclusively.