chore(release): bump version to v1.2.2

The public REST API rewrites files[].name to "{model}_{version}" for
non-LoRA model types, so every precision variant of a multi-file version
shared one name and landed on disk with a random short-hash suffix.

Fetch the raw stored filename from the model-versions/mini endpoint
(always pinned with modelFileId) and use it for the on-disk name and
metadata when available; fall back silently to the REST name otherwise.
CivArchive already serves raw names and is skipped.

.agents/skills/lora-manager-e2e/SKILL.md

@@ -1,146 +0,0 @@
----
-name: lora-manager-e2e
-description: "End-to-end testing and validation for LoRa Manager features. Use ONLY for sandboxed E2E validation of LoRa Manager standalone mode: start the standalone server on a free port with --settings-path, drive the web UI (http://127.0.0.1:{PORT}/loras) via Chrome DevTools MCP, and verify frontend-to-backend integration. NOT for UI behavior checks that unit tests (Vitest/jsdom) can cover. Trigger keywords: E2E, standalone, Chrome DevTools MCP, lora-manager-e2e, sandbox."
----
-
-# LoRa Manager E2E Testing
-
-End-to-end testing of LoRa Manager standalone mode using Chrome DevTools MCP.
-
-## When to Use — and When NOT To
-
-E2E runs are slow and token-heavy. Reach for them only when the question genuinely
-spans server + browser (routing, scan persistence, websocket updates, EXIF writes).
-
-- **Default to unit/component tests first**: `npm run test:js` (Vitest/jsdom) covers
-  DOM rendering, modal behavior, event handling and API-client calls deterministically
-  in seconds. Backend logic goes through `pytest`. A UI-behavior question answered by
-  jsdom MUST NOT be escalated to E2E.
-- **Use E2E only when** the behavior cannot be observed without a live server and a
-  real browser, e.g. template rendering through the aiohttp server, scanner → SQLite
-  persistence → API → DOM round-trips, or real EXIF/image writes.
-- If you start an E2E and realize a unit test would answer the question, stop and
-  switch.
-
-**Browser driver is fixed: Chrome DevTools MCP.** Do not substitute kimi-webbridge —
-it operates on the user's real browser (real tabs, real sessions, synthetic
-`isTrusted=false` events), which breaks the isolation this skill requires and lacks
-the console/network inspection E2E debugging relies on. kimi-webbridge is for
-interactive browsing with the user's real login sessions, not for sandboxed E2E.
-
-## Conventions
-
-- **`{PORT}`**: default candidate `8188`, but it is **commonly occupied by a live
-  ComfyUI** — always check first (`ss -tlnp | grep ':{PORT}'`) and use a free port
-  (e.g. `8199`). Substitute the chosen port everywhere below. Never kill a process
-  you did not start for this E2E.
-- **`<repo-root>`**: the repository/worktree root; run all commands from there.
-- **`<sandbox>`**: a throwaway dir, e.g. `/tmp/opencode/<plan>-e2e`.
-
-## SANDBOX (MANDATORY)
-
-> Every E2E run MUST target a throwaway sandbox, never real user data.
-
-1. **Explicit settings directory**: always launch with `--settings-path <sandbox>/settings`.
-   This pins ALL runtime data (`settings.json`, `cache/`, `backups/`, `logs/`, `stats/`,
-   `wildcards/`) under the sandbox. **Never** create `<repo-root>/settings.json` — the repo
-   folder is usually the real ComfyUI plugin folder and a portable settings file there is
-   read by the real instance.
-2. **Sandboxed library paths**: point `folder_paths` / `recipes_path` /
-   `example_images_path` at disposable dirs under `<sandbox>` — never the real library,
-   real recipe dir, or real settings:
-
-   ```json
-   {
-     "folder_paths": {
-       "loras": ["<sandbox>/models/loras"],
-       "checkpoints": ["<sandbox>/models/checkpoints"],
-       "unet": ["<sandbox>/models/checkpoints"],
-       "diffusers": []
-     },
-     "recipes_path": "<sandbox>/recipes",
-     "example_images_path": "<sandbox>/example_images"
-   }
-   ```
-
-3. **Real-data protection proof**: before starting and after finishing, snapshot the real
-   config and recipe library and confirm they are byte-identical; also confirm
-   `<repo-root>` gained no `settings.json` or `cache/`:
-
-   ```bash
-   sha256sum ~/.config/ComfyUI-LoRA-Manager/settings.json > <sandbox>/settings.before.sha256
-   ls ~/models/recipes/*.recipe.json 2>/dev/null | wc -l > <sandbox>/recipes-count.before.txt
-   # AFTER the run: record again and diff. Any change = the run leaked into real data.
-   ```
-
-## Quick Start
-
-```bash
-cd <repo-root>
-# 1. Sandbox
-mkdir -p <sandbox>/settings <sandbox>/models/{loras,checkpoints} <sandbox>/{recipes,example_images}
-#    write <sandbox>/settings/settings.json per the SANDBOX example
-# 2. Port
-ss -tlnp | grep ':{PORT}' || echo "port {PORT} is free"
-# 3. Server — MUST be fully detached (a plain background & dies with the shell);
-#    the helper enforces this and manages its own pidfile
-python .agents/skills/lora-manager-e2e/scripts/start_server.py \
-  --port {PORT} --settings-path <sandbox>/settings --wait --timeout 30 --detach
-ss -tlnp | grep ':{PORT}'   # verify listening BEFORE proceeding
-# 4. Chrome with remote debugging, then connect Chrome DevTools MCP (verify via list_pages)
-google-chrome --remote-debugging-port=9222 --user-data-dir=/tmp/chrome-lora-manager http://127.0.0.1:{PORT}/loras
-```
-
-Then drive the UI with the MCP tools (`take_snapshot`, `click`, `fill`, `fill_form`,
-`evaluate_script`, `wait_for`, `list_network_requests`, `list_console_messages`) —
-see [references/mcp-cheatsheet.md](references/mcp-cheatsheet.md) for patterns.
-
-Server restart after config/fixture changes:
-
-```bash
-python .agents/skills/lora-manager-e2e/scripts/start_server.py \
-  --port {PORT} --settings-path <sandbox>/settings --restart --wait --detach
-# then reload the browser page (ignoreCache=True)
-```
-
-`--restart` only kills the E2E server the script itself started (via its pidfile) and
-aborts instead of killing unrelated processes on the port.
-
-## Abort Rule
-
-A sandboxed E2E should finish in well under 30 minutes. If any phase exceeds ~2x its
-expected duration (server readiness > 60 s, MCP connect > 2 min, a single scenario >
-10 min), or any single tool call fails 3+ times in a row, **STOP** — do not retry
-blindly. Report `BLOCKED` with the phase, last observed state (server PID,
-`ss -tlnp` output, page snapshot, last API response) and suspected cause. A clean
-BLOCKED report beats an hour of retries.
-
-## Troubleshooting
-
-- **"browser is already running" / `list_pages` fails**: a stale Chrome holds the
-  profile dir. Find it (`ps -ef | grep -i '[c]hrome.*user-data-dir'`), confirm it is a
-  leftover QA Chrome (not the live ComfyUI, not your current MCP browser), kill only
-  that PID, then retry `list_pages`.
-- **MCP refuses to write screenshots into the worktree**: save to `/tmp` via
-  `take_screenshot(filePath="/tmp/...")` and copy into the evidence dir from the shell.
-
-## Cleanup
-
-1. Stop the standalone server: `kill <recorded-pid>` (only the PID you started), then
-   confirm `ss -tlnp | grep ':{PORT}'` is empty.
-2. Close browser pages (keep at least one open).
-3. `rm -rf <sandbox>`; verify `<repo-root>` gained no `settings.json` or `cache/`.
-4. Re-run the real-data protection check from the SANDBOX section and record the result.
-
-## References & Scripts
-
-- [references/mcp-cheatsheet.md](references/mcp-cheatsheet.md) — Chrome DevTools MCP
-  command patterns (navigation, waiting, snapshots, forms, network, console, performance).
-- [references/test-scenarios.md](references/test-scenarios.md) — detailed test scenarios
-  (list display, metadata editing, recipes, settings, import/export).
-- [references/recipe-rematch-fixtures.md](references/recipe-rematch-fixtures.md) —
-  fixture format, fresh-state reset and known gaps for recipe rematch/repair E2E runs.
-- `scripts/start_server.py` — start/restart the standalone server
-  (`--port --settings-path --restart --wait --timeout --detach`); refuses to touch
-  unrelated processes on the port.
-- `scripts/wait_for_server.py` — poll readiness (`--port --timeout`).

.agents/skills/lora-manager-e2e/references/mcp-cheatsheet.md

@@ -1,360 +0,0 @@
-# Chrome DevTools MCP Cheatsheet for LoRa Manager
-
-Quick reference for common MCP commands used in LoRa Manager E2E testing.
-
-> **Port convention**: `{PORT}` is the port chosen for the E2E run (default candidate `8188`, but only if actually free — see the SKILL.md Port Selection section; use e.g. `8199` when `8188` is occupied by a live ComfyUI). Always run against the **sandboxed** standalone server, never a live instance.
-
-## Navigation
-
-```python
-# Navigate to LoRA list page
-navigate_page(type="url", url="http://127.0.0.1:{PORT}/loras")
-
-# Reload page with cache clear
-navigate_page(type="reload", ignoreCache=True)
-
-# Go back/forward
-navigate_page(type="back")
-navigate_page(type="forward")
-```
-
-## Waiting
-
-```python
-# Wait for text to appear
-wait_for(text="LoRAs", timeout=10000)
-
-# Wait for specific element (via evaluate_script)
-evaluate_script(function="""
-() => {
-    return new Promise((resolve) => {
-        const check = () => {
-            if (document.querySelector('.lora-card')) {
-                resolve(true);
-            } else {
-                setTimeout(check, 100);
-            }
-        };
-        check();
-    });
-}
-""")
-```
-
-## Taking Snapshots
-
-```python
-# Full page snapshot
-snapshot = take_snapshot()
-
-# Verbose snapshot (more details)
-snapshot = take_snapshot(verbose=True)
-
-# Save to file
-take_snapshot(filePath="test-snapshots/page-load.json")
-```
-
-## Element Interaction
-
-```python
-# Click element
-click(uid="element-uid-from-snapshot")
-
-# Double click
-click(uid="element-uid", dblClick=True)
-
-# Fill input
-fill(uid="search-input", value="test query")
-
-# Fill multiple inputs
-fill_form(elements=[
-    {"uid": "input-1", "value": "value 1"},
-    {"uid": "input-2", "value": "value 2"},
-])
-
-# Hover
-hover(uid="lora-card-1")
-
-# Upload file
-upload_file(uid="file-input", filePath="/path/to/file.safetensors")
-```
-
-## Keyboard Input
-
-```python
-# Press key
-press_key(key="Enter")
-press_key(key="Escape")
-press_key(key="Tab")
-
-# Keyboard shortcuts
-press_key(key="Control+A")  # Select all
-press_key(key="Control+F")  # Find
-```
-
-## JavaScript Evaluation
-
-```python
-# Simple evaluation
-result = evaluate_script(function="() => document.title")
-
-# Async evaluation
-result = evaluate_script(function="""
-async () => {
-    const response = await fetch('/loras/api/list');
-    return await response.json();
-}
-""")
-
-# Check element existence
-exists = evaluate_script(function="""
-() => document.querySelector('.lora-card') !== null
-""")
-
-# Get element count
-count = evaluate_script(function="""
-() => document.querySelectorAll('.lora-card').length
-""")
-```
-
-## Network Monitoring
-
-```python
-# List all network requests
-requests = list_network_requests()
-
-# Filter by resource type
-xhr_requests = list_network_requests(resourceTypes=["xhr", "fetch"])
-
-# Get specific request details
-details = get_network_request(reqid=123)
-
-# Include preserved requests from previous navigations
-all_requests = list_network_requests(includePreservedRequests=True)
-```
-
-## Console Monitoring
-
-```python
-# List all console messages
-messages = list_console_messages()
-
-# Filter by type
-errors = list_console_messages(types=["error", "warn"])
-
-# Include preserved messages
-all_messages = list_console_messages(includePreservedMessages=True)
-
-# Get specific message
-details = get_console_message(msgid=1)
-```
-
-## Performance Testing
-
-```python
-# Start trace with page reload
-performance_start_trace(reload=True, autoStop=False)
-
-# Start trace without reload
-performance_start_trace(reload=False, autoStop=True, filePath="trace.json.gz")
-
-# Stop trace
-results = performance_stop_trace()
-
-# Stop and save
-performance_stop_trace(filePath="trace-results.json.gz")
-
-# Analyze specific insight
-insight = performance_analyze_insight(
-    insightSetId="results.insightSets[0].id",
-    insightName="LCPBreakdown"
-)
-```
-
-## Page Management
-
-```python
-# List open pages
-pages = list_pages()
-
-# Select a page
-select_page(pageId=0, bringToFront=True)
-
-# Create new page
-new_page(url="http://127.0.0.1:{PORT}/loras")
-
-# Close page (keep at least one open!)
-close_page(pageId=1)
-
-# Resize page
-resize_page(width=1920, height=1080)
-```
-
-## Screenshots
-
-```python
-# Full page screenshot
-take_screenshot(fullPage=True)
-
-# Viewport screenshot
-take_screenshot()
-
-# Element screenshot
-take_screenshot(uid="lora-card-1")
-
-# Save to file
-take_screenshot(filePath="screenshots/page.png", format="png")
-
-# JPEG with quality
-take_screenshot(filePath="screenshots/page.jpg", format="jpeg", quality=90)
-```
-
-## Dialog Handling
-
-```python
-# Accept dialog
-handle_dialog(action="accept")
-
-# Accept with text input
-handle_dialog(action="accept", promptText="user input")
-
-# Dismiss dialog
-handle_dialog(action="dismiss")
-```
-
-## Device Emulation
-
-```python
-# Mobile viewport
-emulate(viewport={"width": 375, "height": 667, "isMobile": True, "hasTouch": True})
-
-# Tablet viewport
-emulate(viewport={"width": 768, "height": 1024, "isMobile": True, "hasTouch": True})
-
-# Desktop viewport
-emulate(viewport={"width": 1920, "height": 1080})
-
-# Network throttling
-emulate(networkConditions="Slow 3G")
-emulate(networkConditions="Fast 4G")
-
-# CPU throttling
-emulate(cpuThrottlingRate=4)  # 4x slowdown
-
-# Geolocation
-emulate(geolocation={"latitude": 37.7749, "longitude": -122.4194})
-
-# User agent
-emulate(userAgent="Mozilla/5.0 (Custom)")
-
-# Reset emulation
-emulate(viewport=None, networkConditions="No emulation", userAgent=None)
-```
-
-## Drag and Drop
-
-```python
-# Drag element to another
-drag(from_uid="draggable-item", to_uid="drop-zone")
-```
-
-## Common LoRa Manager Test Patterns
-
-### Verify LoRA Cards Loaded
-
-```python
-navigate_page(type="url", url="http://127.0.0.1:{PORT}/loras")
-wait_for(text="LoRAs", timeout=10000)
-
-# Check if cards loaded
-result = evaluate_script(function="""
-() => {
-    const cards = document.querySelectorAll('.lora-card');
-    return {
-        count: cards.length,
-        hasData: cards.length > 0
-    };
-}
-""")
-```
-
-### Search and Verify Results
-
-```python
-fill(uid="search-input", value="character")
-press_key(key="Enter")
-wait_for(timeout=2000)  # Wait for debounce
-
-# Check results
-result = evaluate_script(function="""
-() => {
-    const cards = document.querySelectorAll('.lora-card');
-    const names = Array.from(cards).map(c => c.dataset.name || c.textContent);
-    return { count: cards.length, names };
-}
-""")
-```
-
-### Check API Response
-
-```python
-# Trigger API call
-evaluate_script(function="""
-() => window.loraApiCallPromise = fetch('/loras/api/list').then(r => r.json())
-""")
-
-# Wait and get result
-import time
-time.sleep(1)
-
-result = evaluate_script(function="""
-async () => await window.loraApiCallPromise
-""")
-```
-
-### Monitor Console for Errors
-
-```python
-# Before test: clear console (navigate reloads)
-navigate_page(type="reload")
-
-# ... perform actions ...
-
-# Check for errors
-errors = list_console_messages(types=["error"])
-assert len(errors) == 0, f"Console errors: {errors}"
-```
-
-## Troubleshooting
-
-### Stale profile lock ("browser is already running" / `list_pages` fails)
-
-A Chrome profile held by a stale Chrome from a prior MCP session makes `list_pages`
-fail with "browser is already running". Fix:
-
-1. Find the stale Chrome that owns the profile dir (e.g. `~/.config/chrome-dev-profile`):
-   ```bash
-   ps -ef | grep -i '[c]hrome.*user-data-dir'
-   ```
-2. Confirm it is a QA Chrome from a completed task (NOT the live ComfyUI server, NOT
-   your current MCP instance).
-3. Kill ONLY that stale Chrome (`kill <stale-pid>`), then retry `list_pages`.
-
-### Screenshot-write restrictions
-
-The MCP may refuse to write into paths outside its configured workspace roots
-(e.g. `.omo/evidence/screenshots/` under a worktree that canonicalizes to an unmapped
-path). Save the screenshot to `/tmp` via the MCP, then copy it into the evidence dir:
-
-```bash
-# MCP:  take_screenshot(filePath="/tmp/<plan>-e2e/recipe-b-after.png", format="png")
-# Shell:
-mkdir -p <repo-root>/.omo/evidence/screenshots
-cp /tmp/<plan>-e2e/recipe-b-after.png <repo-root>/.omo/evidence/screenshots/
-```
-
-### Time budgets & abort rule
-
-See SKILL.md "Time Budgets & Abort Guidance": if a phase exceeds ~2x its budget or a
-tool call retries 3+ times in a row, STOP and report BLOCKED with the last observed
-state (server PID + `ss -tlnp`, page snapshot, last API response). Do not loop.

.agents/skills/lora-manager-e2e/references/recipe-rematch-fixtures.md

@@ -1,72 +0,0 @@
-# Recipe Rematch/Repair E2E — Fixtures, Fresh State, Known Gaps
-
-Specialized guidance for recipe rematch/repair E2E runs, extracted from the SKILL.md
-main flow. Read the SKILL.md SANDBOX section first — everything here assumes a
-sandboxed run.
-
-## Fixture Rules (validated by the task-8 E2E)
-
-Seed the **sandboxed** `recipes_path` with hand-written fixture recipes:
-
-1. **Filename constraint**: each file MUST be named `f"{id}.recipe.json"` **and** the
-   in-JSON `id` field MUST equal the filename. Discovery accepts any `*.recipe.json`,
-   but persistence resolves the path via `get_recipe_json_path` and
-   `_save_recipe_persistently` returns `False` on a mismatch → the fixture would be
-   counted as an error.
-   - `recipe-a.recipe.json` → in-JSON `"id": "recipe-a"`
-2. **File format**: mirror an existing recipe JSON — top-level `id`, `file_path`,
-   `title`, `loras`, `fingerprint`, `gen_params`; lora entries per the persistence
-   conventions (`hash`, `file_name`, `modelVersionId`, `isDeleted`, ...).
-3. **Companion image**: each recipe needs an image (e.g. a `.webp` generated with PIL)
-   referenced by `file_path`, used for EXIF verification
-   (`ExifUtils.append_recipe_metadata` writes a `"Recipe metadata: ..."` marker; a
-   freshly generated `.webp` with no marker is the clean "untouched" control).
-4. **autov3 three-state contract**: for L3 (autov3-only, renamed-file) fixtures the
-   local model's `.metadata.json` sidecar MUST have the `autov3` key **ABSENT** (the
-   "unchecked" state), NOT `""` — `""` is the TERMINAL "checked but unavailable" state
-   that L3 deliberately skips. The scanner computes + persists `autov3` from the file
-   header during the normal library scan (`model_scanner.py` `_process_model_file`), so
-   the live L3 match resolves through the local autov3/hash cache; the
-   computed-autov3 branch for unchecked items is covered by the unit suite.
-5. **Fixture design for a rematch run** (mirrors the task-8 E2E):
-   - `recipe-a`: lora entry `isDeleted=True`, `hash` = 12-char autov3 computed from the
-     local model (`calculate_autov3`, `py/utils/file_utils.py`), whose local model file
-     was RENAMED after the recipe was written so `file_name` differs (proves L3 match
-     without filename).
-   - `recipe-b`: parser-convention checkpoint entry (uses `id`, no `modelVersionId`)
-     matching a local checkpoint via L2 — the local checkpoint's `.metadata.json` MUST
-     carry civitai version data with that `id` so `version_index` contains it (L2
-     cannot match otherwise).
-   - `recipe-c`: healthy recipe (no deleted entries) → must remain untouched.
-
-The scanner computes and persists model hashes during the library scan, so the sandbox
-model dirs just need the model files + `.metadata.json` sidecars. With
-`--settings-path`, all derived data lands under the sandbox settings dir (`cache/`,
-`backups/`, `logs/`, `stats/`, `wildcards/`), and NO `cache/` appears in the repo root.
-
-## Fresh State Between Entry-Point Runs
-
-Each entry point (global / per-recipe / selection-bulk) must start from the same
-deleted state. Between runs (keep a pristine copy in `<sandbox>/recipes-before/`):
-
-```bash
-# 1. Reset fixtures to the before-state snapshot
-cp <sandbox>/recipes-before/*.recipe.json <sandbox>/recipes/
-# 2. Clear the recipe/FTS caches (with --settings-path these live under the sandbox
-#    settings dir, NOT <repo-root>/cache)
-rm -f <sandbox>/settings/cache/recipe/*.sqlite
-rm -rf <sandbox>/settings/cache/fts/*
-# 3. Restart the server (fresh process, fresh scan)
-python .agents/skills/lora-manager-e2e/scripts/start_server.py \
-  --port {PORT} --settings-path <sandbox>/settings --restart --wait --timeout 30 --detach
-# 4. Re-verify the server is listening + reload the browser page
-```
-
-## Cancellation Testing (KNOWN GAP)
-
-Testing the rematch-cancel path E2E requires a run long enough to cancel mid-flight. A
-tiny 3-recipe fixture set completes in **seconds** — too fast to reliably cancel. The
-cancel path is currently **unit-covered only** (`rematch_all_recipes` cancellation
-tests); do not block an E2E run on cancel-path verification. If you must attempt it,
-you would need an artificially large/deferred fixture set to create a cancellable
-window — treat this as a research task, not part of the standard E2E.

.agents/skills/lora-manager-e2e/references/test-scenarios.md

@@ -1,280 +0,0 @@
-# LoRa Manager E2E Test Scenarios
-
-This document provides detailed test scenarios for end-to-end validation of LoRa Manager features.
-
-> **Run preconditions (from SKILL.md)**: every run uses the **sandboxed** standalone
-> server on a free port `{PORT}` (default candidate `8188`, only if actually free — pick
-> e.g. `8199` when `8188` is occupied by a live ComfyUI). Fixtures live in the sandboxed
-> `recipes_path` as `f"{id}.recipe.json"` files with matching in-JSON `id`; the real user
-> config and real library are never touched (record protection proof before/after).
-> Abort if a phase exceeds ~2x its budget or a tool call retries 3+ times (SKILL.md
-> "Time Budgets & Abort Guidance").
-
-## Table of Contents
-
-1. [LoRA List Page](#lora-list-page)
-2. [Model Details](#model-details)
-3. [Recipes](#recipes)
-4. [Settings](#settings)
-5. [Import/Export](#importexport)
-
----
-
-## LoRA List Page
-
-### Scenario: Page Load and Display
-
-**Objective**: Verify the LoRA list page loads correctly and displays models.
-
-**Steps**:
-1. Navigate to `http://127.0.0.1:{PORT}/loras`
-2. Wait for page title "LoRAs" to appear
-3. Take snapshot to verify:
-   - Header with "LoRAs" title is visible
-   - Search/filter controls are present
-   - Grid/list view toggle exists
-   - LoRA cards are displayed (if models exist)
-   - Pagination controls (if applicable)
-
-**Expected Result**: Page loads without errors, UI elements are present.
-
-### Scenario: Search Functionality
-
-**Objective**: Verify search filters LoRA models correctly.
-
-**Steps**:
-1. Ensure at least one LoRA exists with known name (e.g., "test-character")
-2. Navigate to LoRA list page
-3. Enter search term in search box: "test"
-4. Press Enter or click search button
-5. Wait for results to update
-
-**Expected Result**: Only LoRAs matching search term are displayed.
-
-**Verification Script**:
-```python
-# After search, verify filtered results
-evaluate_script(function="""
-() => {
-  const cards = document.querySelectorAll('.lora-card');
-  const names = Array.from(cards).map(c => c.dataset.name);
-  return { count: cards.length, names };
-}
-""")
-```
-
-### Scenario: Filter by Tags
-
-**Objective**: Verify tag filtering works correctly.
-
-**Steps**:
-1. Navigate to LoRA list page
-2. Click on a tag (e.g., "character", "style")
-3. Wait for filtered results
-
-**Expected Result**: Only LoRAs with selected tag are displayed.
-
-### Scenario: View Mode Toggle
-
-**Objective**: Verify grid/list view toggle works.
-
-**Steps**:
-1. Navigate to LoRA list page
-2. Click list view button
-3. Verify list layout
-4. Click grid view button
-5. Verify grid layout
-
-**Expected Result**: View mode changes correctly, layout updates.
-
----
-
-## Model Details
-
-### Scenario: Open Model Details
-
-**Objective**: Verify clicking a LoRA opens its details.
-
-**Steps**:
-1. Navigate to LoRA list page
-2. Click on a LoRA card
-3. Wait for details panel/modal to open
-
-**Expected Result**: Details panel shows:
-- Model name
-- Preview image
-- Metadata (trigger words, tags, etc.)
-- Action buttons (edit, delete, etc.)
-
-### Scenario: Edit Model Metadata
-
-**Objective**: Verify metadata editing works end-to-end.
-
-**Steps**:
-1. Open a LoRA's details
-2. Click "Edit" button
-3. Modify trigger words field
-4. Add/remove tags
-5. Save changes
-6. Refresh page
-7. Reopen the same LoRA
-
-**Expected Result**: Changes persist after refresh.
-
-### Scenario: Delete Model
-
-**Objective**: Verify model deletion works.
-
-**Steps**:
-1. Open a LoRA's details
-2. Click "Delete" button
-3. Confirm deletion in dialog
-4. Wait for removal
-
-**Expected Result**: Model removed from list, success message shown.
-
----
-
-## Recipes
-
-### Scenario: Recipe List Display
-
-**Objective**: Verify recipes page loads and displays recipes.
-
-**Steps**:
-1. Navigate to `http://127.0.0.1:{PORT}/recipes`
-2. Wait for "Recipes" title
-3. Take snapshot
-
-**Expected Result**: Recipe list displayed with cards/items.
-
-### Scenario: Create New Recipe
-
-**Objective**: Verify recipe creation workflow.
-
-**Steps**:
-1. Navigate to recipes page
-2. Click "New Recipe" button
-3. Fill recipe form:
-   - Name: "Test Recipe"
-   - Description: "E2E test recipe"
-   - Add LoRA models
-4. Save recipe
-5. Verify recipe appears in list
-
-**Expected Result**: New recipe created and displayed.
-
-### Scenario: Apply Recipe
-
-**Objective**: Verify applying a recipe to ComfyUI.
-
-**Steps**:
-1. Open a recipe
-2. Click "Apply" or "Load in ComfyUI"
-3. Verify action completes
-
-**Expected Result**: Recipe applied successfully.
-
----
-
-## Settings
-
-### Scenario: Settings Page Load
-
-**Objective**: Verify settings page displays correctly.
-
-**Steps**:
-1. Navigate to `http://127.0.0.1:{PORT}/settings`
-2. Wait for "Settings" title
-3. Take snapshot
-
-**Expected Result**: Settings form with various options displayed.
-
-### Scenario: Change Setting and Restart
-
-**Objective**: Verify settings persist after restart.
-
-**Steps**:
-1. Navigate to settings page
-2. Change a setting (e.g., default view mode)
-3. Save settings
-4. Restart server: `python scripts/start_server.py --port {PORT} --restart --wait --timeout 30 --detach`
-5. Refresh browser page
-6. Navigate to settings
-
-**Expected Result**: Changed setting value persists.
-
----
-
-## Import/Export
-
-### Scenario: Export Models List
-
-**Objective**: Verify export functionality.
-
-**Steps**:
-1. Navigate to LoRA list
-2. Click "Export" button
-3. Select format (JSON/CSV)
-4. Download file
-
-**Expected Result**: File downloaded with correct data.
-
-### Scenario: Import Models
-
-**Objective**: Verify import functionality.
-
-**Steps**:
-1. Prepare import file
-2. Navigate to import page
-3. Upload file
-4. Verify import results
-
-**Expected Result**: Models imported successfully, confirmation shown.
-
----
-
-## API Integration Tests
-
-### Scenario: Verify API Endpoints
-
-**Objective**: Verify backend API responds correctly.
-
-**Test via browser console**:
-```javascript
-// List LoRAs
-fetch('/loras/api/list').then(r => r.json()).then(console.log)
-
-// Get LoRA details
-fetch('/loras/api/detail/<id>').then(r => r.json()).then(console.log)
-
-// Search LoRAs
-fetch('/loras/api/search?q=test').then(r => r.json()).then(console.log)
-```
-
-**Expected Result**: APIs return valid JSON with expected structure.
-
----
-
-## Console Error Monitoring
-
-During all tests, monitor browser console for errors:
-
-```python
-# Check for JavaScript errors
-messages = list_console_messages(types=["error"])
-assert len(messages) == 0, f"Console errors found: {messages}"
-```
-
-## Network Request Verification
-
-Verify key API calls are made:
-
-```python
-# List XHR requests
-requests = list_network_requests(resourceTypes=["xhr", "fetch"])
-
-# Look for specific endpoints
-lora_list_requests = [r for r in requests if "/api/list" in r.get("url", "")]
-assert len(lora_list_requests) > 0, "LoRA list API not called"
-```

.agents/skills/lora-manager-e2e/scripts/example_e2e_test.py

@@ -1,215 +0,0 @@
-#!/usr/bin/env python3
-"""
-Example E2E test demonstrating LoRa Manager testing workflow.
-
-This script shows how to:
-1. Start the standalone server
-2. Use Chrome DevTools MCP to interact with the UI
-3. Verify functionality end-to-end
-
-Note: This is a template. Actual execution requires Chrome DevTools MCP.
-
-Port: pick a FREE port for the run — 8188 is commonly occupied by a live
-ComfyUI (see the skill's Port Selection section). Set PORT below to e.g. 8199
-when 8188 is taken. Always run against a SANDBOXED standalone server.
-"""
-
-import subprocess
-import sys
-
-# Choose the E2E port. 8188 is only the default candidate; use 8199 (or any
-# free port checked with `ss -tlnp`) when 8188 is occupied by a live ComfyUI.
-PORT = "8188"
-
-
-def run_test():
-    """Run example E2E test flow."""
-
-    print("=" * 60)
-    print("LoRa Manager E2E Test Example")
-    print("=" * 60)
-
-    # Step 1: Start server (detached so it survives the shell)
-    print("\n[1/5] Starting LoRa Manager standalone server...")
-    result = subprocess.run(
-        [sys.executable, "start_server.py", "--port", PORT, "--wait", "--timeout", "30", "--detach"],
-        capture_output=True,
-        text=True,
-    )
-    if result.returncode != 0:
-        print(f"Failed to start server: {result.stderr}")
-        return 1
-    print("Server ready!")
-
-    # Step 2: Open Chrome (manual step - show command)
-    print("\n[2/5] Open Chrome with debug mode:")
-    print(
-        f"google-chrome --remote-debugging-port=9222 "
-        f"--user-data-dir=/tmp/chrome-lora-manager http://127.0.0.1:{PORT}/loras"
-    )
-    print("(In actual test, this would be automated via MCP)")
-
-    # Step 3: Navigate and verify page load
-    print("\n[3/5] Page Load Verification:")
-    print(
-        f"""
-    MCP Commands to execute:
-    1. navigate_page(type="url", url="http://127.0.0.1:{PORT}/loras")
-    2. wait_for(text="LoRAs", timeout=10000)
-    3. snapshot = take_snapshot()
-    """
-    )
-
-    # Step 4: Test search functionality
-    print("\n[4/5] Search Functionality Test:")
-    print(
-        """
-    MCP Commands to execute:
-    1. fill(uid="search-input", value="test")
-    2. press_key(key="Enter")
-    3. wait_for(text="Results", timeout=5000)
-    4. result = evaluate_script(function=`
-        () => {
-            const cards = document.querySelectorAll('.lora-card');
-            return { count: cards.length };
-        }
-        `)
-    """
-    )
-
-    # Step 5: Verify API
-    print("\n[5/5] API Verification:")
-    print(
-        """
-    MCP Commands to execute:
-    1. api_result = evaluate_script(function=`
-        async () => {
-            const response = await fetch('/loras/api/list');
-            const data = await response.json();
-            return { count: data.length, status: response.status };
-        }
-        `)
-    2. Verify api_result['status'] == 200
-    """
-    )
-
-    print("\n" + "=" * 60)
-    print("Test flow completed!")
-    print("=" * 60)
-
-    return 0
-
-
-def example_restart_flow():
-    """Example: Testing configuration change that requires restart."""
-
-    print("\n" + "=" * 60)
-    print("Example: Server Restart Flow")
-    print("=" * 60)
-
-    print(
-        f"""
-    Scenario: Change setting and verify after restart
-
-    Steps:
-    1. Navigate to settings page
-       - navigate_page(type="url", url="http://127.0.0.1:{PORT}/settings")
-
-    2. Change a setting (e.g., theme)
-       - fill(uid="theme-select", value="dark")
-       - click(uid="save-settings-button")
-
-    3. Restart server
-       - subprocess.run([python, "start_server.py", "--port", "{PORT}", "--restart", "--wait", "--detach"])
-
-    4. Refresh browser
-       - navigate_page(type="reload", ignoreCache=True)
-       - wait_for(text="LoRAs", timeout=15000)
-
-    5. Verify setting persisted
-       - navigate_page(type="url", url="http://127.0.0.1:{PORT}/settings")
-       - theme = evaluate_script(function="() => document.querySelector('#theme-select').value")
-       - assert theme == "dark"
-    """
-    )
-
-
-def example_modal_interaction():
-    """Example: Testing modal dialog interaction."""
-
-    print("\n" + "=" * 60)
-    print("Example: Modal Dialog Interaction")
-    print("=" * 60)
-
-    print(
-        """
-    Scenario: Add new LoRA via modal
-
-    Steps:
-    1. Open modal
-       - click(uid="add-lora-button")
-       - wait_for(text="Add LoRA", timeout=3000)
-
-    2. Fill form
-       - fill_form(elements=[
-           {"uid": "lora-name", "value": "Test Character"},
-           {"uid": "lora-path", "value": "/models/test.safetensors"},
-       ])
-
-    3. Submit
-       - click(uid="modal-submit-button")
-
-    4. Verify success
-       - wait_for(text="Successfully added", timeout=5000)
-       - snapshot = take_snapshot()
-    """
-    )
-
-
-def example_network_monitoring():
-    """Example: Network request monitoring."""
-
-    print("\n" + "=" * 60)
-    print("Example: Network Request Monitoring")
-    print("=" * 60)
-
-    print(
-        f"""
-    Scenario: Verify API calls during user interaction
-
-    Steps:
-    1. Clear network log (implicit on navigation)
-       - navigate_page(type="url", url="http://127.0.0.1:{PORT}/loras")
-
-    2. Perform action that triggers API call
-       - fill(uid="search-input", value="character")
-       - press_key(key="Enter")
-
-    3. List network requests
-       - requests = list_network_requests(resourceTypes=["xhr", "fetch"])
-
-    4. Find search API call
-       - search_requests = [r for r in requests if "/api/search" in r.get("url", "")]
-       - assert len(search_requests) > 0, "Search API was not called"
-
-    5. Get request details
-       - if search_requests:
-           details = get_network_request(reqid=search_requests[0]["reqid"])
-           - Verify request method, response status, etc.
-    """
-    )
-
-
-if __name__ == "__main__":
-    print("LoRa Manager E2E Test Examples\n")
-    print("This script demonstrates E2E testing patterns.\n")
-    print("Note: Actual execution requires Chrome DevTools MCP connection.\n")
-
-    run_test()
-    example_restart_flow()
-    example_modal_interaction()
-    example_network_monitoring()
-
-    print("\n" + "=" * 60)
-    print("All examples shown!")
-    print("=" * 60)

AGENTS.md

@@ -170,6 +170,10 @@ The system runs in two modes:
 - Route registrars organize endpoints by domain: `ModelRouteRegistrar`, `RecipeRouteRegistrar`, etc.
 - Request handlers in `py/routes/handlers/` implement route logic
 - All routes use aiohttp, return `web.json_response` or `web.Response`
+- Endpoints consumed by the companion browser extension (lm-civitai-extension)
+  MUST also accept `GET` with query-string params: the extension is GET-only by
+  convention (see its AGENTS.md), even for state-changing operations such as
+  `GET /api/lm/recipe/{recipe_id}/reimport`
 
 ### Recipe System
 
@@ -215,6 +219,26 @@ The system runs in two modes:
 - Vanilla JS tests: `tests/frontend/**/*.test.js` with jsdom; setup in `tests/frontend/setup.js`
 - Vue widget tests: `vue-widgets/tests/**/*.test.ts` with jsdom + `@vue/test-utils`
 
+### UI Verification (manual default)
+
+UI/layout changes are verified by the user by eye — do NOT spin up a sandbox,
+standalone server, or browser automation to "prove" a visual fix. Ask the user to
+look instead. The full browser E2E ceremony (server + Chrome DevTools MCP +
+screenshots) is slow, token-heavy, and fragile; reserve it for genuine
+server+browser integration bugs, and only when the user explicitly agrees.
+
+If a cross-layer issue ever needs a live server, the sandboxed helpers live in
+`scripts/e2e/` (`start_server.py`, `wait_for_server.py`). Non-negotiable rules:
+
+- Always launch with `--settings-path <sandbox>/settings` and sandboxed
+  `folder_paths` under `/tmp` — the repo folder is the real plugin folder and a
+  `settings.json` there is read by the live instance. Never touch real config or
+  real model libraries.
+- Never kill a process you did not start; `start_server.py` tracks its own PIDs
+  via pidfile and refuses to touch unrelated processes on the port.
+- Abort after ~30 minutes or 3 consecutive tool failures; report `BLOCKED` with
+  observed state instead of retrying blindly. Clean up sandbox and server after.
+
 ## Key Integration Points
 
 - **Settings:** Stored in the user config directory (via `platformdirs`) or portable mode (`"use_portable_settings": true`)

docs/i18n-translation-guidelines.md

@@ -137,7 +137,7 @@ and must be normalized. `en` = keep the English word as-is.
 
 | Term | Use | Fix |
 |---|---|---|
-| recipe | Rezept/Rezepte | 5 leftover English "Recipe" keys → Rezept (e.g. `globalContextMenu.repairRecipes.label`, `toast.recipes.recipeSaved`) |
+| recipe | Rezept/Rezepte | leftover English "Recipe" keys → Rezept (e.g. `toast.recipes.recipeSaved`) |
 | base model | pick Basis-Modell or Basismodell | currently 27× hyphenated vs 15× closed |
 | metadata | Metadaten | 4 keys use "Modelldaten" (`onboarding.steps.fetch.title/content`) → Metadaten |
 | bulk | pick Massen- or Sammelmodus | `loras.controls.bulk.action` = "Massen" reads as "crowds" — use "Massenbearbeitung"/"Mehrfachauswahl" |
@@ -193,7 +193,7 @@ and must be normalized. `en` = keep the English word as-is.
 | Checkpoint | Checkpoint or チェックポイント (pick one) | 3 variants: Checkpoint (~14), checkpoint lowercase (4), チェックポイント (4, e.g. `settings.priorityTags.modelTypes.checkpoint`) |
 | Embedding | Embedding | 4 keys lowercase "embedding" mid-sentence |
 | bulk | 一括 | `modals.checkUpdates.tip` "バルクモード" → 一括モード |
-| recipe counter | 件 or 個 | `repairRecipes.success` uses 件, `.cancelled` uses 個 — unify |
+| recipe counter | 件 or 個 | `globalContextMenu.rematchRecipes.success` uses 件, `.cancelled` uses 個 — unify |
 
 ### ko
 

docs/recipe-civitai-image-no-metadata.md

@@ -0,0 +1,58 @@
+# CivitAI image imports can end up with 0 LoRAs
+
+## Symptom
+
+Importing a CivitAI image URL can produce a recipe with **zero LoRA
+entries**, even though the image page lists LoRAs in its resource panel.
+
+Reported example: `https://civitai.red/images/140818889` was imported as a
+local recipe with 0 LoRAs, while the page shows 3 LoRAs. Some images (e.g.
+NSFW / higher browsing level) additionally require a login to view, so their
+data is not publicly reachable at all.
+
+## Root cause
+
+URL imports use only two data sources:
+
+1. **CivitAI REST image API** — `GET /api/v1/images?imageId=<id>&nsfw=X&withMeta=true` → `meta`
+2. **Embedded image metadata** — EXIF/XMP read from the downloaded bytes
+
+For the same image both sources can be empty, and the one source that does
+contain the data is never queried. Verified for image 140818889:
+
+| Source | What it returned |
+|---|---|
+| REST image API | `meta` holds only a prompt; `modelVersionIds: []`; no `resources`/`hashes`; `baseModel: null` |
+| Downloaded image | PNG with **no EXIF/XMP** (the CDN URL ends in `.jpeg`, the body is PNG) |
+| Image page HTML | `__NEXT_DATA__` embeds the trpc `image.getGenerationData` result → full `resources` list: 3 LoRAs, each with `modelId`, `modelVersionId`, `modelName`, `modelType`, `versionName`, `baseModel` |
+
+Key points:
+
+- The page's resource panel is fed by an **internal, non-public trpc
+  endpoint**, not by the public REST image API.
+- That internal endpoint is **login-gated** for some content — the
+  "requires login" symptom.
+- Even with the version IDs in hand, `/model-versions/{id}` for these
+  (Krea) versions returns **no `sha256`**, so an exact local-file hash match
+  is impossible; only model/version identity is recoverable.
+
+## Conclusion / status
+
+0-LoRA imports are a data-source gap: public REST meta and image EXIF are
+both empty, while the only complete source (page generation data) is
+internal, sometimes login-gated, and not used by the importer.
+
+Such imports **cannot be reliably auto-repaired/completed** by the backend
+alone. The old "Repair Metadata" feature only re-fetched the same incomplete
+REST meta and could not fix them; it was deprecated and has been removed.
+
+**Fixed via the companion browser extension.** When the extension is
+installed with a valid license, it scrapes the image page's internal trpc
+generation data with the user's session and calls the payload-capable
+re-import endpoint (`POST /api/lm/recipe/{recipe_id}/reimport` with
+`image_url`/`name`/`resources`/`gen_params`/`base_model`/`tags` query
+params), which rebuilds the recipe from the caller-supplied metadata. The
+web UI delegates re-import of CivitAI-image-sourced recipes to the extension
+automatically (probe + `lm:reimport*` DOM events); without the extension,
+re-import silently falls back to the native path, which remains limited by
+the data-source gap documented above.

locales/de.json

@@ -50,6 +50,27 @@
             "mb": "MB",
             "gb": "GB",
             "tb": "TB"
+        },
+        "scanProgress": {
+            "refreshing": "{type} werden aktualisiert...",
+            "fullRebuilding": "{type} werden vollständig neu aufgebaut...",
+            "actionRefresh": "Aktualisierung",
+            "actionFullRebuild": "Vollständiger Neuaufbau",
+            "actionRefreshLower": "Aktualisieren",
+            "actionRebuildLower": "Neuaufbau",
+            "stages": {
+                "scan_folders": "Ordner werden gescannt...",
+                "count_models": "{total} Dateien gefunden",
+                "process_models": "Modelle werden verarbeitet",
+                "reconcile_scan": "Änderungen werden geprüft...",
+                "process_new": "Neue Modelle werden verarbeitet",
+                "finalizing": "Abschließen..."
+            },
+            "eta": {
+                "lessThanMinute": "Weniger als eine Minute verbleibend",
+                "minutes": "~{minutes} Min. verbleibend",
+                "hours": "~{hours} Std. {minutes} Min. verbleibend"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "Massenoperationen",
-                "content": "Wechseln Sie in den Massenmodus, indem Sie auf diese Schaltfläche klicken oder <span class=\"onboarding-shortcut\">B</span> drücken. Wählen Sie mehrere Modelle aus und führen Sie Stapeloperationen durch. Mit <span class=\"onboarding-shortcut\">Strg+A</span> können Sie alle sichtbaren Modelle auswählen."
+                "content": "Wechseln Sie in den Massenmodus, indem Sie auf diese Schaltfläche klicken oder <span class=\"onboarding-shortcut\">B</span> drücken, um mehrere Modelle auszuwählen und Stapeloperationen durchzuführen.<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> wählt alle sichtbaren Modelle aus, <span class=\"onboarding-shortcut\">Shift+Click</span> wählt einen Bereich aus.<br>• <span class=\"onboarding-shortcut\">Esc</span> oder ein Klick auf einen leeren Bereich verlässt den Massenmodus."
             },
             "searchOptions": {
                 "title": "Suchoptionen",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "Kontextmenü",
-                "content": "<strong>Rechtsklick</strong> auf eine Modellkarte öffnet ein Kontextmenü mit weiteren Aktionen."
+                "content": "<strong>Rechtsklick</strong> auf eine beliebige Modellkarte öffnet ein Kontextmenü mit Kartenaktionen wie Verschieben, Löschen oder Bearbeiten von Metadaten."
+            },
+            "marqueeSelect": {
+                "title": "Durch Ziehen auswählen",
+                "content": "Halten Sie die <strong>linke Maustaste</strong> auf einem leeren Bereich des Rasters gedrückt und ziehen Sie, um einen Auswahlrahmen aufzuziehen, der mehrere Karten gleichzeitig auswählt."
+            },
+            "dragToSidebar": {
+                "title": "Organisieren durch Ziehen",
+                "content": "Ziehen Sie eine Modellkarte auf einen Ordner in der Seitenleiste, um die Datei dorthin zu verschieben. Dies funktioniert auch mit mehreren ausgewählten Karten im Massenmodus."
+            },
+            "contextMenus": {
+                "title": "Weitere Kontextmenüs",
+                "content": "<strong>Rechtsklick auf eine ausgewählte Karte</strong> im Massenmodus öffnet die Massenaktionen. <strong>Rechtsklick auf einen leeren Bereich</strong> der Seite öffnet globale Aktionen wie das Prüfen auf Updates und das Verwalten ausgeschlossener Modelle."
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "Alle {typePlural} verfügen bereits über Lizenzmetadaten",
             "error": "Lizenzmetadaten für {typePlural} konnten nicht aktualisiert werden: {message}"
         },
-        "repairRecipes": {
-            "label": "Rezept-Daten reparieren",
-            "loading": "Rezept-Daten werden repariert...",
-            "success": "{count} Rezepte erfolgreich repariert.",
-            "cancelled": "Reparatur abgebrochen. {count} Rezepte wurden repariert.",
-            "error": "Rezept-Reparatur fehlgeschlagen: {message}"
-        },
         "rematchRecipes": {
             "label": "Rezepte lokalen Modellen neu zuordnen",
             "loading": "Rezepte werden lokalen Modellen neu zugeordnet...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "Nach Modell gruppieren",
             "groupByModelHelp": "Wenn aktiviert, wird nur die neueste Version jedes CivitAI-Modells als einzelne Karte angezeigt. Ältere Versionen werden ausgeblendet.",
+            "stickyControls": "Aktionsleiste sichtbar halten",
+            "stickyControlsHelp": "Wenn aktiviert, bleibt die Aktionsleiste (Aktualisieren, Herunterladen usw.) beim Scrollen zusammen mit der Breadcrumb-Navigation oben angeheftet.",
             "displayDensity": "Anzeige-Dichte",
             "displayDensityOptions": {
                 "default": "Standard",
@@ -786,7 +814,6 @@
             "setContentRating": "Inhaltsbewertung für alle festlegen",
             "copyAll": "Alle Syntax kopieren",
             "refreshAll": "Alle Metadaten aktualisieren",
-            "repairMetadata": "Metadaten der Auswahl reparieren",
             "rematchMetadata": "Ausgewählte mit lokalen Modellen abgleichen",
             "reimportMetadata": "Aus Quelle neu importieren",
             "checkUpdates": "Auswahl auf Updates prüfen",
@@ -842,7 +869,6 @@
             "replacePreview": "Vorschau ersetzen",
             "setContentRating": "Inhaltsbewertung festlegen",
             "moveToFolder": "In Ordner verschieben",
-            "repairMetadata": "Metadaten reparieren",
             "rematchMetadata": "Mit lokalen Modellen abgleichen",
             "reimportMetadata": "Aus Quelle neu importieren",
             "excludeModel": "Modell ausschließen",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "Vorheriges Rezept (←)",
             "nextWithShortcut": "Nächstes Rezept (→)"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "Dateispeicherort öffnen",
+                "copyId": "Rezept-ID kopieren"
+            },
+            "openFileLocation": {
+                "success": "Dateispeicherort erfolgreich geöffnet",
+                "failed": "Fehler beim Öffnen des Dateispeicherorts",
+                "copied": "Pfad in die Zwischenablage kopiert: {{path}}",
+                "clipboardFallback": "Pfad: {{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "Workflow an ComfyUI senden",
             "sent": "Workflow an ComfyUI gesendet",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "Fehler beim Abrufen der Informationen für fehlende LoRAs",
                 "prepareError": "Fehler beim Vorbereiten der LoRAs für den Download: {message}"
             },
-            "repair": {
-                "starting": "Rezept-Metadaten werden repariert...",
-                "success": "Rezept-Metadaten erfolgreich repariert",
-                "skipped": "Rezept bereits in der neuesten Version, keine Reparatur erforderlich",
-                "failed": "Rezept-Reparatur fehlgeschlagen: {message}",
-                "missingId": "Rezept kann nicht repariert werden: Fehlende Rezept-ID"
-            },
             "reimport": {
                 "starting": "Rezept wird aus Quelle neu importiert...",
                 "success": "Rezept erfolgreich neu importiert",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "Wert",
                 "add": "Hinzufügen",
-                "invalidRange": "Ungültiges Bereichsformat. Verwenden Sie x.x-y.y"
+                "invalidRange": "Ungültiges Bereichsformat. Verwenden Sie x.x-y.y",
+                "invalidValue": "Bitte geben Sie eine gültige Zahl ein",
+                "saveFailed": "Fehler beim Speichern des voreingestellten Parameters",
+                "added": "Voreingestellter Parameter hinzugefügt",
+                "updated": "Voreingestellter Parameter aktualisiert"
             },
             "triggerWords": {
                 "label": "Trigger Words",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "Tippen zum Hinzufügen oder klicken Sie auf Vorschläge unten",
                 "editWord": "Trigger Word bearbeiten",
                 "editPlaceholder": "Trigger Word bearbeiten",
-                "copyWord": "Trigger Word kopieren",
+                "copyOrEditWord": "Klicken zum Kopieren, Doppelklick zum Bearbeiten",
                 "deleteWord": "Trigger Word löschen",
                 "suggestions": {
                     "noSuggestions": "Keine Vorschläge verfügbar",
@@ -1649,8 +1687,8 @@
                 "showCount": "Beispiele anzeigen ({count})",
                 "hideExamples": "Beispiele ausblenden",
                 "addExamples": "Beispiele hinzufügen",
-                "previousExample": "Vorheriges Beispiel",
-                "nextExample": "Nächstes Beispiel",
+                "previousExample": "Vorheriges Beispiel ([)",
+                "nextExample": "Nächstes Beispiel (])",
                 "noExamples": "Keine Beispielbilder verfügbar",
                 "addMoreExamples": "Weitere Beispiele hinzufügen",
                 "dragDrop": "Bilder oder Videos hierher ziehen & ablegen",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "Erste Schritte",
             "updateVlogs": "Update-Vlogs",
-            "documentation": "Dokumentation"
+            "documentation": "Dokumentation",
+            "shortcuts": "Tastenkürzel"
         },
         "gettingStarted": {
-            "title": "Erste Schritte mit LoRA Manager"
+            "title": "Erste Schritte mit LoRA Manager",
+            "replayTutorial": "Tutorial erneut abspielen"
+        },
+        "shortcuts": {
+            "title": "Tastatur- & Mauskürzel",
+            "groups": {
+                "general": "Allgemein",
+                "actions": "Aktionen",
+                "selection": "Auswahl & Massenmodus",
+                "navigation": "Navigation",
+                "modelModal": "Modell- / Rezept-Dialog",
+                "mediaViewer": "Medienanzeige / Beispielgalerie"
+            },
+            "keys": {
+                "click": "Klick",
+                "drag": "Ziehen",
+                "rightClick": "Rechtsklick",
+                "letter": "Buchstabe",
+                "swipe": "Wischen"
+            },
+            "entries": {
+                "focusSearch": "Suche fokussieren",
+                "closeModal": "Dialog / Panel schließen",
+                "openShortcuts": "Dieses Tastenkürzel-Panel öffnen",
+                "refresh": "Modellliste aktualisieren",
+                "fetchMetadata": "Metadaten von CivitAI abrufen (nur Modellseiten)",
+                "downloadModel": "Ein Modell herunterladen (nur Modellseiten)",
+                "toggleBulkMode": "Massenmodus umschalten",
+                "selectAll": "Alle sichtbaren Modelle auswählen",
+                "rangeSelect": "Bereich auswählen",
+                "marqueeSelect": "Karten mit Auswahlrahmen auswählen (auf leerem Rasterbereich)",
+                "exitBulkMode": "Massenmodus verlassen",
+                "bulkActions": "Auf ausgewählter Karte: Menü für Massenaktionen",
+                "globalActions": "Auf leerem Seitenbereich: Menü für globale Aktionen (Updates prüfen, ausgeschlossene Modelle verwalten)",
+                "scrollPages": "Seiten scrollen",
+                "jumpAlphabet": "Zur Alphabetleiste springen",
+                "prevNext": "Vorheriges / nächstes Modell",
+                "deleteEntry": "Löschen",
+                "cycleMedia": "Medien durchblättern ([ / ] in der Beispielgalerie)",
+                "swipeTouch": "Medien auf Touch-Geräten durchblättern",
+                "closeViewer": "Medienanzeige schließen"
+            }
         },
         "updateVlogs": {
             "title": "Neueste Updates",
@@ -1934,7 +2014,8 @@
             "settings": "Einstellungen & Konfiguration",
             "extensions": "Erweiterungen",
             "newBadge": "NEU"
-        }
+        },
+        "newContentBadge": "NEU"
     },
     "update": {
         "title": "Nach Updates suchen",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "Ordner konnte nicht durchsucht werden: {message}",
             "batchImportDirectorySelected": "Verzeichnis ausgewählt: {path}",
             "noRecipesSelected": "Keine Rezepte ausgewählt",
-            "repairBulkComplete": "Reparatur abgeschlossen: {repaired} repariert, {skipped} übersprungen (von {total})",
-            "repairBulkSkipped": "Keine Reparatur für die {total} ausgewählten Rezepte erforderlich",
-            "repairBulkFailed": "Reparatur der ausgewählten Rezepte fehlgeschlagen: {message}",
             "rematchComplete": "{entries} Einträge in {recipes} Rezepten zugeordnet",
             "rematchCompleteErrors": "{entries} Einträge in {recipes} Rezepten zugeordnet, {failures} fehlgeschlagen",
             "rematchAllFailed": "Zuordnung fehlgeschlagen für {failures} von {total} ausgewählten Rezepten",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "Keine Zuordnung für die {total} ausgewählten Rezepte erforderlich",
             "rematchFailed": "Zuordnung der ausgewählten Rezepte fehlgeschlagen: {message}",
             "reimporting": "Rezept wird aus Quelle neu importiert...",
+            "reimportingViaExtension": "Rezept {current}/{total} wird über die Browser-Erweiterung neu importiert...",
             "reimportSuccess": "Rezept erfolgreich neu importiert",
             "reimportBulkComplete": "Neuimport abgeschlossen: {completed} importiert, {failed} fehlgeschlagen (von {total})",
             "reimportBulkFailed": "Neuimport einiger Rezepte fehlgeschlagen",

locales/en.json

@@ -50,6 +50,27 @@
       "mb": "MB",
       "gb": "GB",
       "tb": "TB"
+    },
+    "scanProgress": {
+      "refreshing": "Refreshing {type}s...",
+      "fullRebuilding": "Full rebuild {type}s...",
+      "actionRefresh": "Refresh",
+      "actionFullRebuild": "Full rebuild",
+      "actionRefreshLower": "refresh",
+      "actionRebuildLower": "rebuild",
+      "stages": {
+        "scan_folders": "Scanning folders...",
+        "count_models": "Found {total} files",
+        "process_models": "Processing models",
+        "reconcile_scan": "Checking for changes...",
+        "process_new": "Processing new models",
+        "finalizing": "Finalizing..."
+      },
+      "eta": {
+        "lessThanMinute": "Less than a minute remaining",
+        "minutes": "~{minutes} min remaining",
+        "hours": "~{hours} hr {minutes} min remaining"
+      }
     }
   },
   "onboarding": {
@@ -75,7 +96,7 @@
       },
       "bulk": {
         "title": "Bulk Operations",
-        "content": "Enter bulk mode by clicking this button or pressing <span class=\"onboarding-shortcut\">B</span>. Select multiple models and perform batch operations. Use <span class=\"onboarding-shortcut\">Ctrl+A</span> to select all visible models."
+        "content": "Enter bulk mode by clicking this button or pressing <span class=\"onboarding-shortcut\">B</span> to select multiple models and perform batch operations.<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> select all visible models, <span class=\"onboarding-shortcut\">Shift+Click</span> select a range.<br>• <span class=\"onboarding-shortcut\">Esc</span> or clicking an empty area exits bulk mode."
       },
       "searchOptions": {
         "title": "Search Options",
@@ -95,7 +116,19 @@
       },
       "contextMenu": {
         "title": "Context Menu",
-        "content": "<strong>Right-click</strong> any model card for a context menu with additional actions."
+        "content": "<strong>Right-click</strong> any model card for a context menu with card actions like moving, deleting, or editing metadata."
+      },
+      "marqueeSelect": {
+        "title": "Drag to Select",
+        "content": "Hold the <strong>left mouse button</strong> on an empty area of the grid and drag to draw a marquee that selects multiple cards at once."
+      },
+      "dragToSidebar": {
+        "title": "Organize by Dragging",
+        "content": "Drag a model card onto a folder in the sidebar to move the file there. This also works with multiple selected cards in bulk mode."
+      },
+      "contextMenus": {
+        "title": "More Context Menus",
+        "content": "In bulk mode, <strong>right-click a selected card</strong> for bulk actions. <strong>Right-click an empty area</strong> of the page for global actions like update checks and managing excluded models."
       }
     }
   },
@@ -179,13 +212,6 @@
       "none": "All {typePlural} already have license metadata",
       "error": "Failed to refresh license metadata for {typePlural}: {message}"
     },
-    "repairRecipes": {
-      "label": "Repair recipes data",
-      "loading": "Repairing recipe data...",
-      "success": "Successfully repaired {count} recipes.",
-      "cancelled": "Repair cancelled. {count} recipes were repaired.",
-      "error": "Recipe repair failed: {message}"
-    },
     "rematchRecipes": {
       "label": "Rematch recipes to local models",
       "loading": "Rematching recipes to local models...",
@@ -451,6 +477,8 @@
     "layoutSettings": {
       "groupByModel": "Group by Model",
       "groupByModelHelp": "When enabled, only the latest version of each CivitAI model is shown as a single card. Older versions are hidden.",
+      "stickyControls": "Keep Action Bar Visible",
+      "stickyControlsHelp": "When enabled, the action bar (Refresh, Download, etc.) stays pinned at the top while scrolling, together with the breadcrumb navigation.",
       "displayDensity": "Display Density",
       "displayDensityOptions": {
         "default": "Default",
@@ -786,7 +814,6 @@
       "setContentRating": "Set Content Rating for Selected",
       "copyAll": "Copy Selected Syntax",
       "refreshAll": "Refresh Selected Metadata",
-      "repairMetadata": "Repair Metadata for Selected",
       "rematchMetadata": "Rematch Selected to Local Models",
       "reimportMetadata": "Re-import from Source",
       "checkUpdates": "Check Updates for Selected",
@@ -842,7 +869,6 @@
       "replacePreview": "Replace Preview",
       "setContentRating": "Set Content Rating",
       "moveToFolder": "Move to Folder",
-      "repairMetadata": "Repair metadata",
       "rematchMetadata": "Rematch to local models",
       "reimportMetadata": "Re-import from Source",
       "excludeModel": "Exclude Model",
@@ -868,6 +894,21 @@
       "previousWithShortcut": "Previous recipe (←)",
       "nextWithShortcut": "Next recipe (→)"
     },
+    "modal": {
+      "metadata": {
+        "id": "ID"
+      },
+      "actions": {
+        "openFileLocation": "Open File Location",
+        "copyId": "Copy recipe ID"
+      },
+      "openFileLocation": {
+        "success": "File location opened successfully",
+        "failed": "Failed to open file location",
+        "copied": "Path copied to clipboard: {{path}}",
+        "clipboardFallback": "Path: {{path}}"
+      }
+    },
     "workflow": {
       "sendWorkflow": "Send Workflow to ComfyUI",
       "sent": "Workflow sent to ComfyUI",
@@ -1080,13 +1121,6 @@
         "getInfoFailed": "Failed to get information for missing LoRAs",
         "prepareError": "Error preparing LoRAs for download: {message}"
       },
-      "repair": {
-        "starting": "Repairing recipe metadata...",
-        "success": "Recipe metadata repaired successfully",
-        "skipped": "Recipe already at latest version, no repair needed",
-        "failed": "Failed to repair recipe: {message}",
-        "missingId": "Cannot repair recipe: Missing recipe ID"
-      },
       "reimport": {
         "starting": "Re-importing recipe from source...",
         "success": "Recipe re-imported successfully",
@@ -1578,7 +1612,11 @@
         "clipSkip": "Clip Skip",
         "valuePlaceholder": "Value",
         "add": "Add",
-        "invalidRange": "Invalid range format. Use x.x-y.y"
+        "invalidRange": "Invalid range format. Use x.x-y.y",
+        "invalidValue": "Please enter a valid number",
+        "saveFailed": "Failed to save preset parameter",
+        "added": "Preset parameter added",
+        "updated": "Preset parameter updated"
       },
       "triggerWords": {
         "label": "Trigger Words",
@@ -1589,7 +1627,7 @@
         "addPlaceholder": "Type to add or click suggestions below",
         "editWord": "Edit trigger word",
         "editPlaceholder": "Edit trigger word",
-        "copyWord": "Copy trigger word",
+        "copyOrEditWord": "Click to copy, double-click to edit",
         "deleteWord": "Delete trigger word",
         "suggestions": {
           "noSuggestions": "No suggestions available",
@@ -1649,8 +1687,8 @@
         "showCount": "Show examples ({count})",
         "hideExamples": "Hide examples",
         "addExamples": "Add examples",
-        "previousExample": "Previous example",
-        "nextExample": "Next example",
+        "previousExample": "Previous example ([)",
+        "nextExample": "Next example (])",
         "noExamples": "No example images available",
         "addMoreExamples": "Add more examples",
         "dragDrop": "Drag & drop images or videos here",
@@ -1914,10 +1952,52 @@
     "tabs": {
       "gettingStarted": "Getting Started",
       "updateVlogs": "Update Vlogs",
-      "documentation": "Documentation"
+      "documentation": "Documentation",
+      "shortcuts": "Shortcuts"
     },
     "gettingStarted": {
-      "title": "Getting Started with LoRA Manager"
+      "title": "Getting Started with LoRA Manager",
+      "replayTutorial": "Replay Tutorial"
+    },
+    "shortcuts": {
+      "title": "Keyboard & Mouse Shortcuts",
+      "groups": {
+        "general": "General",
+        "actions": "Actions",
+        "selection": "Selection & Bulk Mode",
+        "navigation": "Navigation",
+        "modelModal": "Model / Recipe Modal",
+        "mediaViewer": "Media Viewer / Showcase"
+      },
+      "keys": {
+        "click": "Click",
+        "drag": "Drag",
+        "rightClick": "Right-click",
+        "letter": "Letter",
+        "swipe": "Swipe"
+      },
+      "entries": {
+        "focusSearch": "Focus search",
+        "closeModal": "Close modal / panel",
+        "openShortcuts": "Open this shortcuts panel",
+        "refresh": "Refresh model list",
+        "fetchMetadata": "Fetch metadata from CivitAI (model pages only)",
+        "downloadModel": "Download a model (model pages only)",
+        "toggleBulkMode": "Toggle bulk mode",
+        "selectAll": "Select all visible models",
+        "rangeSelect": "Range select",
+        "marqueeSelect": "Marquee-select cards (on empty grid area)",
+        "exitBulkMode": "Exit bulk mode",
+        "bulkActions": "On selected card: bulk actions menu",
+        "globalActions": "On empty page area: global actions menu (update check, manage excluded models)",
+        "scrollPages": "Scroll pages",
+        "jumpAlphabet": "Jump alphabet bar",
+        "prevNext": "Previous / next model",
+        "deleteEntry": "Delete",
+        "cycleMedia": "Cycle media ([ / ] in showcase gallery)",
+        "swipeTouch": "Cycle media on touch devices",
+        "closeViewer": "Close viewer"
+      }
     },
     "updateVlogs": {
       "title": "Latest Updates",
@@ -1934,7 +2014,8 @@
       "settings": "Settings & Configuration",
       "extensions": "Extensions",
       "newBadge": "NEW"
-    }
+    },
+    "newContentBadge": "New"
   },
   "update": {
     "title": "Check for Updates",
@@ -2141,9 +2222,6 @@
       "batchImportBrowseFailed": "Failed to browse directory: {message}",
       "batchImportDirectorySelected": "Directory selected: {path}",
       "noRecipesSelected": "No recipes selected",
-      "repairBulkComplete": "Repair complete: {repaired} repaired, {skipped} skipped (of {total})",
-      "repairBulkSkipped": "No repair needed for any of the {total} selected recipes",
-      "repairBulkFailed": "Failed to repair selected recipes: {message}",
       "rematchComplete": "Matched {entries} entries across {recipes} recipes",
       "rematchCompleteErrors": "Matched {entries} entries across {recipes} recipes, {failures} failed",
       "rematchAllFailed": "Rematch failed for {failures} of {total} selected recipes",
@@ -2151,6 +2229,7 @@
       "rematchSkipped": "No rematch needed for any of the {total} selected recipes",
       "rematchFailed": "Failed to rematch selected recipes: {message}",
       "reimporting": "Re-importing recipe from source...",
+      "reimportingViaExtension": "Re-importing recipe {current}/{total} via browser extension...",
       "reimportSuccess": "Recipe re-imported successfully",
       "reimportBulkComplete": "Re-import complete: {completed} re-imported, {failed} failed (of {total})",
       "reimportBulkFailed": "Failed to re-import some recipes",

locales/es.json

@@ -50,6 +50,27 @@
             "mb": "MB",
             "gb": "GB",
             "tb": "TB"
+        },
+        "scanProgress": {
+            "refreshing": "Actualizando {type}...",
+            "fullRebuilding": "Reconstrucción completa de {type}...",
+            "actionRefresh": "Actualización",
+            "actionFullRebuild": "Reconstrucción completa",
+            "actionRefreshLower": "actualizar",
+            "actionRebuildLower": "reconstruir",
+            "stages": {
+                "scan_folders": "Escaneando carpetas...",
+                "count_models": "Se encontraron {total} archivos",
+                "process_models": "Procesando modelos",
+                "reconcile_scan": "Comprobando cambios...",
+                "process_new": "Procesando modelos nuevos",
+                "finalizing": "Finalizando..."
+            },
+            "eta": {
+                "lessThanMinute": "Queda menos de un minuto",
+                "minutes": "Quedan ~{minutes} min",
+                "hours": "Quedan ~{hours} h {minutes} min"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "Operaciones por lotes",
-                "content": "Entra en el modo por lotes haciendo clic en este botón o presionando <span class=\"onboarding-shortcut\">B</span>. Selecciona varios modelos y realiza operaciones por lotes. Usa <span class=\"onboarding-shortcut\">Ctrl+A</span> para seleccionar todos los modelos visibles."
+                "content": "Entra en el modo por lotes haciendo clic en este botón o presionando <span class=\"onboarding-shortcut\">B</span> para seleccionar varios modelos y realizar operaciones por lotes.<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> selecciona todos los modelos visibles, <span class=\"onboarding-shortcut\">Shift+Click</span> selecciona un rango.<br>• <span class=\"onboarding-shortcut\">Esc</span> o hacer clic en un área vacía sale del modo por lotes."
             },
             "searchOptions": {
                 "title": "Opciones de búsqueda",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "Menú contextual",
-                "content": "<strong>Clic derecho</strong> en cualquier tarjeta de modelo para ver un menú contextual con acciones adicionales."
+                "content": "<strong>Clic derecho</strong> en cualquier tarjeta de modelo para ver un menú contextual con acciones de la tarjeta como mover, eliminar o editar metadatos."
+            },
+            "marqueeSelect": {
+                "title": "Arrastrar para seleccionar",
+                "content": "Mantén pulsado el <strong>botón izquierdo del ratón</strong> en un área vacía de la cuadrícula y arrastra para dibujar un rectángulo de selección que selecciona varias tarjetas a la vez."
+            },
+            "dragToSidebar": {
+                "title": "Organizar arrastrando",
+                "content": "Arrastra una tarjeta de modelo hasta una carpeta de la barra lateral para mover el archivo allí. Esto también funciona con varias tarjetas seleccionadas en el modo por lotes."
+            },
+            "contextMenus": {
+                "title": "Más menús contextuales",
+                "content": "En el modo por lotes, <strong>haz clic derecho en una tarjeta seleccionada</strong> para ver las acciones por lotes. <strong>Haz clic derecho en un área vacía</strong> de la página para ver acciones globales como comprobar actualizaciones y gestionar modelos excluidos."
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "Todos los {typePlural} ya tienen metadatos de licencia",
             "error": "No se pudieron actualizar los metadatos de licencia de los {typePlural}: {message}"
         },
-        "repairRecipes": {
-            "label": "Reparar datos de recetas",
-            "loading": "Reparando datos de recetas...",
-            "success": "Se repararon con éxito {count} recetas.",
-            "cancelled": "Reparación cancelada. {count} recetas fueron reparadas.",
-            "error": "Error al reparar recetas: {message}"
-        },
         "rematchRecipes": {
             "label": "Reasociar recetas con modelos locales",
             "loading": "Reasociando recetas con modelos locales...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "Agrupar por modelo",
             "groupByModelHelp": "Cuando está activado, solo se muestra la versión más reciente de cada modelo de CivitAI como una tarjeta única. Las versiones anteriores están ocultas.",
+            "stickyControls": "Mantener visible la barra de acciones",
+            "stickyControlsHelp": "Cuando está activado, la barra de acciones (Actualizar, Descargar, etc.) permanece fijada en la parte superior al desplazarse, junto con la navegación por rutas.",
             "displayDensity": "Densidad de visualización",
             "displayDensityOptions": {
                 "default": "Predeterminado",
@@ -786,7 +814,6 @@
             "setContentRating": "Establecer clasificación de contenido para todos",
             "copyAll": "Copiar toda la sintaxis",
             "refreshAll": "Actualizar todos los metadatos",
-            "repairMetadata": "Reparar metadatos de la selección",
             "rematchMetadata": "Reasociar los seleccionados con modelos locales",
             "reimportMetadata": "Reimportar desde origen",
             "checkUpdates": "Comprobar actualizaciones para la selección",
@@ -842,7 +869,6 @@
             "replacePreview": "Reemplazar vista previa",
             "setContentRating": "Establecer clasificación de contenido",
             "moveToFolder": "Mover a carpeta",
-            "repairMetadata": "Reparar metadatos",
             "rematchMetadata": "Reasociar con modelos locales",
             "reimportMetadata": "Reimportar desde origen",
             "excludeModel": "Excluir modelo",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "Receta anterior (←)",
             "nextWithShortcut": "Siguiente receta (→)"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "Abrir ubicación del archivo",
+                "copyId": "Copiar ID de la receta"
+            },
+            "openFileLocation": {
+                "success": "Ubicación del archivo abierta exitosamente",
+                "failed": "Error al abrir la ubicación del archivo",
+                "copied": "Ruta copiada al portapapeles: {{path}}",
+                "clipboardFallback": "Ruta: {{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "Enviar workflow a ComfyUI",
             "sent": "Workflow enviado a ComfyUI",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "Error al obtener información de LoRAs faltantes",
                 "prepareError": "Error preparando LoRAs para descarga: {message}"
             },
-            "repair": {
-                "starting": "Reparando metadatos de la receta...",
-                "success": "Metadatos de la receta reparados con éxito",
-                "skipped": "La receta ya está en la última versión, no se necesita reparación",
-                "failed": "Error al reparar la receta: {message}",
-                "missingId": "No se puede reparar la receta: falta el ID de la receta"
-            },
             "reimport": {
                 "starting": "Reimportando receta desde origen...",
                 "success": "Receta reimportada exitosamente",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "Valor",
                 "add": "Añadir",
-                "invalidRange": "Formato de rango inválido. Use x.x-y.y"
+                "invalidRange": "Formato de rango inválido. Use x.x-y.y",
+                "invalidValue": "Introduce un número válido",
+                "saveFailed": "Error al guardar el parámetro preajustado",
+                "added": "Parámetro preajustado añadido",
+                "updated": "Parámetro preajustado actualizado"
             },
             "triggerWords": {
                 "label": "Palabras clave",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "Escribe para añadir o haz clic en sugerencias de abajo",
                 "editWord": "Editar palabra de activación",
                 "editPlaceholder": "Editar palabra de activación",
-                "copyWord": "Copiar palabra de activación",
+                "copyOrEditWord": "Haz clic para copiar, doble clic para editar",
                 "deleteWord": "Eliminar palabra de activación",
                 "suggestions": {
                     "noSuggestions": "No hay sugerencias disponibles",
@@ -1649,8 +1687,8 @@
                 "showCount": "Mostrar ejemplos ({count})",
                 "hideExamples": "Ocultar ejemplos",
                 "addExamples": "Añadir ejemplos",
-                "previousExample": "Ejemplo anterior",
-                "nextExample": "Ejemplo siguiente",
+                "previousExample": "Ejemplo anterior ([)",
+                "nextExample": "Ejemplo siguiente (])",
                 "noExamples": "No hay imágenes de ejemplo disponibles",
                 "addMoreExamples": "Añadir más ejemplos",
                 "dragDrop": "Arrastra y suelta imágenes o videos aquí",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "Comenzando",
             "updateVlogs": "Vlogs de actualización",
-            "documentation": "Documentación"
+            "documentation": "Documentación",
+            "shortcuts": "Atajos"
         },
         "gettingStarted": {
-            "title": "Comenzando con el gestor de LoRA"
+            "title": "Comenzando con el gestor de LoRA",
+            "replayTutorial": "Repetir tutorial"
+        },
+        "shortcuts": {
+            "title": "Atajos de teclado y ratón",
+            "groups": {
+                "general": "General",
+                "actions": "Acciones",
+                "selection": "Selección y modo por lotes",
+                "navigation": "Navegación",
+                "modelModal": "Modal de modelo / receta",
+                "mediaViewer": "Visor de medios / Ejemplos"
+            },
+            "keys": {
+                "click": "Clic",
+                "drag": "Arrastrar",
+                "rightClick": "Clic derecho",
+                "letter": "Letra",
+                "swipe": "Deslizar"
+            },
+            "entries": {
+                "focusSearch": "Enfocar la búsqueda",
+                "closeModal": "Cerrar modal / panel",
+                "openShortcuts": "Abrir este panel de atajos",
+                "refresh": "Actualizar la lista de modelos",
+                "fetchMetadata": "Obtener metadatos de CivitAI (solo páginas de modelos)",
+                "downloadModel": "Descargar un modelo (solo páginas de modelos)",
+                "toggleBulkMode": "Activar/desactivar el modo por lotes",
+                "selectAll": "Seleccionar todos los modelos visibles",
+                "rangeSelect": "Selección por rango",
+                "marqueeSelect": "Seleccionar tarjetas con un rectángulo de selección (en un área vacía de la cuadrícula)",
+                "exitBulkMode": "Salir del modo por lotes",
+                "bulkActions": "En una tarjeta seleccionada: menú de acciones por lotes",
+                "globalActions": "En un área vacía de la página: menú de acciones globales (comprobar actualizaciones, gestionar modelos excluidos)",
+                "scrollPages": "Desplazarse por las páginas",
+                "jumpAlphabet": "Saltar con la barra alfabética",
+                "prevNext": "Modelo anterior / siguiente",
+                "deleteEntry": "Eliminar",
+                "cycleMedia": "Cambiar de medio ([ / ] en la galería de ejemplos)",
+                "swipeTouch": "Cambiar de medio en dispositivos táctiles",
+                "closeViewer": "Cerrar el visor"
+            }
         },
         "updateVlogs": {
             "title": "Últimas actualizaciones",
@@ -1934,7 +2014,8 @@
             "settings": "Configuración",
             "extensions": "Extensiones",
             "newBadge": "NUEVO"
-        }
+        },
+        "newContentBadge": "NUEVO"
     },
     "update": {
         "title": "Comprobar actualizaciones",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "No se pudo examinar el directorio: {message}",
             "batchImportDirectorySelected": "Directorio seleccionado: {path}",
             "noRecipesSelected": "No se han seleccionado recetas",
-            "repairBulkComplete": "Reparación completa: {repaired} reparadas, {skipped} omitidas (de {total})",
-            "repairBulkSkipped": "No se necesita reparación para ninguna de las {total} recetas seleccionadas",
-            "repairBulkFailed": "Error al reparar las recetas seleccionadas: {message}",
             "rematchComplete": "{entries} entradas asociadas en {recipes} recetas",
             "rematchCompleteErrors": "{entries} entradas asociadas en {recipes} recetas, {failures} fallidas",
             "rematchAllFailed": "Falló la reasociación de {failures} de {total} recetas seleccionadas",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "Ninguna de las {total} recetas seleccionadas necesita reasociación",
             "rematchFailed": "Falló la reasociación de las recetas seleccionadas: {message}",
             "reimporting": "Reimportando receta desde origen...",
+            "reimportingViaExtension": "Reimportando receta {current}/{total} mediante la extensión del navegador...",
             "reimportSuccess": "Receta reimportada exitosamente",
             "reimportBulkComplete": "Reimportación completa: {completed} reimportadas, {failed} fallidas (de {total})",
             "reimportBulkFailed": "Error al reimportar algunas recetas",

locales/fr.json

@@ -50,6 +50,27 @@
             "mb": "Mo",
             "gb": "Go",
             "tb": "To"
+        },
+        "scanProgress": {
+            "refreshing": "Actualisation des {type}...",
+            "fullRebuilding": "Reconstruction complète des {type}...",
+            "actionRefresh": "Actualisation",
+            "actionFullRebuild": "Reconstruction complète",
+            "actionRefreshLower": "l’actualisation",
+            "actionRebuildLower": "la reconstruction",
+            "stages": {
+                "scan_folders": "Scan des dossiers...",
+                "count_models": "{total} fichiers trouvés",
+                "process_models": "Traitement des modèles",
+                "reconcile_scan": "Vérification des modifications...",
+                "process_new": "Traitement des nouveaux modèles",
+                "finalizing": "Finalisation..."
+            },
+            "eta": {
+                "lessThanMinute": "Moins d’une minute restante",
+                "minutes": "~{minutes} min restantes",
+                "hours": "~{hours} h {minutes} min restantes"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "Opérations groupées",
-                "content": "Activez le mode groupé en cliquant sur ce bouton ou en appuyant sur <span class=\"onboarding-shortcut\">B</span>. Sélectionnez plusieurs modèles et effectuez des opérations groupées. Utilisez <span class=\"onboarding-shortcut\">Ctrl+A</span> pour sélectionner tous les modèles visibles."
+                "content": "Activez le mode groupé en cliquant sur ce bouton ou en appuyant sur <span class=\"onboarding-shortcut\">B</span> pour sélectionner plusieurs modèles et effectuer des opérations groupées.<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> sélectionne tous les modèles visibles, <span class=\"onboarding-shortcut\">Shift+Click</span> sélectionne une plage.<br>• <span class=\"onboarding-shortcut\">Esc</span> ou un clic sur une zone vide quitte le mode groupé."
             },
             "searchOptions": {
                 "title": "Options de recherche",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "Menu contextuel",
-                "content": "<strong>Clic droit</strong> sur une carte de modèle pour accéder à un menu contextuel avec des actions supplémentaires."
+                "content": "<strong>Clic droit</strong> sur n'importe quelle carte de modèle pour ouvrir un menu contextuel avec des actions sur la carte comme déplacer, supprimer ou modifier les métadonnées."
+            },
+            "marqueeSelect": {
+                "title": "Glisser pour sélectionner",
+                "content": "Maintenez le <strong>bouton gauche de la souris</strong> enfoncé sur une zone vide de la grille et glissez pour tracer un rectangle de sélection qui sélectionne plusieurs cartes à la fois."
+            },
+            "dragToSidebar": {
+                "title": "Organiser par glisser-déposer",
+                "content": "Glissez une carte de modèle sur un dossier de la barre latérale pour y déplacer le fichier. Cela fonctionne aussi avec plusieurs cartes sélectionnées en mode groupé."
+            },
+            "contextMenus": {
+                "title": "Plus de menus contextuels",
+                "content": "En mode groupé, <strong>faites un clic droit sur une carte sélectionnée</strong> pour accéder aux actions groupées. <strong>Faites un clic droit sur une zone vide</strong> de la page pour accéder aux actions globales comme la vérification des mises à jour et la gestion des modèles exclus."
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "Tous les {typePlural} possèdent déjà des métadonnées de licence",
             "error": "Échec de l'actualisation des métadonnées de licence pour les {typePlural} : {message}"
         },
-        "repairRecipes": {
-            "label": "Réparer les données de Recipes",
-            "loading": "Réparation des données de Recipes...",
-            "success": "{count} Recipes réparées avec succès.",
-            "cancelled": "Réparation annulée. {count} Recipes ont été réparées.",
-            "error": "Échec de la réparation des Recipes : {message}"
-        },
         "rematchRecipes": {
             "label": "Réassocier les Recipes aux modèles locaux",
             "loading": "Réassociation des Recipes aux modèles locaux...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "Grouper par modèle",
             "groupByModelHelp": "Lorsque activé, seule la version la plus récente de chaque modèle CivitAI s'affiche sous forme de carte unique. Les versions plus anciennes sont masquées.",
+            "stickyControls": "Garder la barre d'actions visible",
+            "stickyControlsHelp": "Lorsque activé, la barre d'actions (Actualiser, Télécharger, etc.) reste épinglée en haut lors du défilement, avec la navigation par fil d'Ariane.",
             "displayDensity": "Densité d'affichage",
             "displayDensityOptions": {
                 "default": "Par défaut",
@@ -786,7 +814,6 @@
             "setContentRating": "Définir la classification du contenu pour tous",
             "copyAll": "Copier toute la syntaxe",
             "refreshAll": "Actualiser toutes les métadonnées",
-            "repairMetadata": "Réparer les métadonnées de la sélection",
             "rematchMetadata": "Réassocier la sélection aux modèles locaux",
             "reimportMetadata": "Ré-importer depuis la source",
             "checkUpdates": "Vérifier les mises à jour pour la sélection",
@@ -842,7 +869,6 @@
             "replacePreview": "Remplacer l'aperçu",
             "setContentRating": "Définir la classification du contenu",
             "moveToFolder": "Déplacer vers un dossier",
-            "repairMetadata": "Réparer les métadonnées",
             "rematchMetadata": "Réassocier aux modèles locaux",
             "reimportMetadata": "Ré-importer depuis la source",
             "excludeModel": "Exclure le modèle",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "Recette précédente (←)",
             "nextWithShortcut": "Recette suivante (→)"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "Ouvrir l’emplacement du fichier",
+                "copyId": "Copier l’ID de la Recipe"
+            },
+            "openFileLocation": {
+                "success": "Emplacement du fichier ouvert avec succès",
+                "failed": "Échec de l’ouverture de l’emplacement du fichier",
+                "copied": "Chemin copié dans le presse-papiers: {{path}}",
+                "clipboardFallback": "Chemin: {{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "Envoyer le workflow vers ComfyUI",
             "sent": "Workflow envoyé vers ComfyUI",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "Échec de l'obtention des informations pour les LoRAs manquants",
                 "prepareError": "Erreur lors de la préparation des LoRAs pour le téléchargement : {message}"
             },
-            "repair": {
-                "starting": "Réparation des métadonnées de la Recipe...",
-                "success": "Métadonnées de la Recipe réparées avec succès",
-                "skipped": "Recette déjà à la version la plus récente, aucune réparation nécessaire",
-                "failed": "Échec de la réparation de la Recipe : {message}",
-                "missingId": "Impossible de réparer la Recipe : ID de Recipe manquant"
-            },
             "reimport": {
                 "starting": "Ré-import de la Recipe depuis la source...",
                 "success": "Recette ré-importée avec succès",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "Valeur",
                 "add": "Ajouter",
-                "invalidRange": "Format de plage invalide. Utilisez x.x-y.y"
+                "invalidRange": "Format de plage invalide. Utilisez x.x-y.y",
+                "invalidValue": "Veuillez saisir un nombre valide",
+                "saveFailed": "Échec de l'enregistrement du paramètre préréglé",
+                "added": "Paramètre préréglé ajouté",
+                "updated": "Paramètre préréglé mis à jour"
             },
             "triggerWords": {
                 "label": "Mots-clés",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "Tapez pour ajouter ou cliquez sur les suggestions ci-dessous",
                 "editWord": "Modifier le mot-clé",
                 "editPlaceholder": "Modifier le mot-clé",
-                "copyWord": "Copier le mot-clé",
+                "copyOrEditWord": "Cliquez pour copier, double-cliquez pour modifier",
                 "deleteWord": "Supprimer le mot-clé",
                 "suggestions": {
                     "noSuggestions": "Aucune suggestion disponible",
@@ -1649,8 +1687,8 @@
                 "showCount": "Afficher les exemples ({count})",
                 "hideExamples": "Masquer les exemples",
                 "addExamples": "Ajouter des exemples",
-                "previousExample": "Exemple précédent",
-                "nextExample": "Exemple suivant",
+                "previousExample": "Exemple précédent ([)",
+                "nextExample": "Exemple suivant (])",
                 "noExamples": "Aucune image d'exemple disponible",
                 "addMoreExamples": "Ajouter d'autres exemples",
                 "dragDrop": "Glissez-déposez des images ou des vidéos ici",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "Commencer",
             "updateVlogs": "Vlogs de mise à jour",
-            "documentation": "Documentation"
+            "documentation": "Documentation",
+            "shortcuts": "Raccourcis"
         },
         "gettingStarted": {
-            "title": "Premiers pas avec le Gestionnaire LoRA"
+            "title": "Premiers pas avec le Gestionnaire LoRA",
+            "replayTutorial": "Rejouer le tutoriel"
+        },
+        "shortcuts": {
+            "title": "Raccourcis clavier et souris",
+            "groups": {
+                "general": "Général",
+                "actions": "Actions",
+                "selection": "Sélection et mode groupé",
+                "navigation": "Navigation",
+                "modelModal": "Modale Modèle / Recipe",
+                "mediaViewer": "Visionneuse de médias / Galerie d'exemples"
+            },
+            "keys": {
+                "click": "Clic",
+                "drag": "Glisser",
+                "rightClick": "Clic droit",
+                "letter": "Lettre",
+                "swipe": "Balayage"
+            },
+            "entries": {
+                "focusSearch": "Donner le focus au champ de recherche",
+                "closeModal": "Fermer la fenêtre modale / le panneau",
+                "openShortcuts": "Ouvrir ce panneau de raccourcis",
+                "refresh": "Actualiser la liste des modèles",
+                "fetchMetadata": "Récupérer les métadonnées depuis CivitAI (pages de modèles uniquement)",
+                "downloadModel": "Télécharger un modèle (pages de modèles uniquement)",
+                "toggleBulkMode": "Activer/désactiver le mode groupé",
+                "selectAll": "Sélectionner tous les modèles visibles",
+                "rangeSelect": "Sélection d'une plage",
+                "marqueeSelect": "Sélection par glisser-déposer des cartes (sur une zone vide de la grille)",
+                "exitBulkMode": "Quitter le mode groupé",
+                "bulkActions": "Sur une carte sélectionnée : menu des actions groupées",
+                "globalActions": "Sur une zone vide de la page : menu des actions globales (vérification des mises à jour, gestion des modèles exclus)",
+                "scrollPages": "Faire défiler les pages",
+                "jumpAlphabet": "Sauter via la barre alphabétique",
+                "prevNext": "Modèle précédent / suivant",
+                "deleteEntry": "Supprimer",
+                "cycleMedia": "Parcourir les médias ([ / ] dans la galerie d'exemples)",
+                "swipeTouch": "Parcourir les médias sur les appareils tactiles",
+                "closeViewer": "Fermer la visionneuse"
+            }
         },
         "updateVlogs": {
             "title": "Dernières mises à jour",
@@ -1934,7 +2014,8 @@
             "settings": "Paramètres & Configuration",
             "extensions": "Extensions",
             "newBadge": "NOUVEAU"
-        }
+        },
+        "newContentBadge": "NOUVEAU"
     },
     "update": {
         "title": "Vérifier les mises à jour",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "Échec de la navigation dans le dossier : {message}",
             "batchImportDirectorySelected": "Dossier sélectionné : {path}",
             "noRecipesSelected": "Aucune Recipe sélectionnée",
-            "repairBulkComplete": "Réparation terminée : {repaired} réparée(s), {skipped} ignorée(s) (sur {total})",
-            "repairBulkSkipped": "Aucune réparation nécessaire parmi les {total} Recipes sélectionnées",
-            "repairBulkFailed": "Échec de la réparation des Recipes sélectionnées : {message}",
             "rematchComplete": "{entries} entrées associées dans {recipes} Recipes",
             "rematchCompleteErrors": "{entries} entrées associées dans {recipes} Recipes, {failures} échecs",
             "rematchAllFailed": "Échec de la réassociation de {failures} Recipes sélectionnées sur {total}",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "Aucune des {total} Recipes sélectionnées ne nécessite de réassociation",
             "rematchFailed": "Échec de la réassociation des Recipes sélectionnées : {message}",
             "reimporting": "Ré-import de la Recipe depuis la source...",
+            "reimportingViaExtension": "Ré-import de la Recipe {current}/{total} via l’extension du navigateur...",
             "reimportSuccess": "Recette ré-importée avec succès",
             "reimportBulkComplete": "Ré-import terminé : {completed} ré-importé(s), {failed} échec(s) (sur {total})",
             "reimportBulkFailed": "Échec du ré-import de certaines Recipes",

locales/he.json

@@ -50,6 +50,27 @@
             "mb": "MB",
             "gb": "GB",
             "tb": "TB"
+        },
+        "scanProgress": {
+            "refreshing": "מרענן {type}...",
+            "fullRebuilding": "בונה מחדש את כל ה-{type}...",
+            "actionRefresh": "רענון",
+            "actionFullRebuild": "רענון מלא",
+            "actionRefreshLower": "רענון",
+            "actionRebuildLower": "רענון מלא",
+            "stages": {
+                "scan_folders": "סורק תיקיות...",
+                "count_models": "נמצאו {total} קבצים",
+                "process_models": "מעבד מודלים",
+                "reconcile_scan": "בודק שינויים...",
+                "process_new": "מעבד מודלים חדשים",
+                "finalizing": "מסיים..."
+            },
+            "eta": {
+                "lessThanMinute": "נותרה פחות מדקה",
+                "minutes": "נותרו ~{minutes} דקות",
+                "hours": "נותרו ~{hours} שעות ו-{minutes} דקות"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "פעולות בכמות גדולה",
-                "content": "היכנס למצב פעולות בכמות גדולה על ידי לחיצה על כפתור זה או על <span class=\"onboarding-shortcut\">B</span>. בחר מספר מודלים ובצע פעולות בכמות גדולה. השתמש ב-<span class=\"onboarding-shortcut\">Ctrl+A</span> כדי לבחור את כל המודלים הגלויים."
+                "content": "היכנס למצב פעולות בכמות גדולה על ידי לחיצה על כפתור זה או על <span class=\"onboarding-shortcut\">B</span> כדי לבחור מספר מודלים ולבצע פעולות בכמות גדולה.<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> בחר את כל המודלים הגלויים, <span class=\"onboarding-shortcut\">Shift+Click</span> בחר טווח.<br>• <span class=\"onboarding-shortcut\">Esc</span> או לחיצה על אזור ריק מוציאים ממצב בכמות גדולה."
             },
             "searchOptions": {
                 "title": "אפשרויות חיפוש",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "תפריט הקשר",
-                "content": "<strong>לחיצה ימנית</strong> על כל כרטיס מודל לתפריט הקשר עם פעולות נוספות."
+                "content": "<strong>לחיצה ימנית</strong> על כל כרטיס מודל לתפריט הקשר עם פעולות כרטיס כמו העברה, מחיקה או עריכת מטא-נתונים."
+            },
+            "marqueeSelect": {
+                "title": "גרור כדי לבחור",
+                "content": "החזק את <strong>לחצן העכבר השמאלי</strong> לחוץ על אזור ריק של הרשת וגרור כדי לצייר מסגרת בחירה שבוחרת מספר כרטיסים בבת אחת."
+            },
+            "dragToSidebar": {
+                "title": "ארגון באמצעות גרירה",
+                "content": "גרור כרטיס מודל אל תיקייה בסרגל הצד כדי להעביר את הקובץ לשם. פעולה זו עובדת גם עם מספר כרטיסים נבחרים במצב בכמות גדולה."
+            },
+            "contextMenus": {
+                "title": "תפריטי הקשר נוספים",
+                "content": "במצב בכמות גדולה, <strong>לחץ לחיצה ימנית על כרטיס נבחר</strong> לפעולות בכמות גדולה. <strong>לחץ לחיצה ימנית על אזור ריק</strong> בדף לפעולות גלובליות כמו בדיקת עדכונים וניהול מודלים מוחרגים."
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "לכל ה-{typePlural} כבר יש מטא-נתוני רישיון",
             "error": "לא ניתן היה לרענן את מטא-נתוני הרישיון עבור {typePlural}: {message}"
         },
-        "repairRecipes": {
-            "label": "תיקון נתוני מתכונים",
-            "loading": "מתקן נתוני מתכונים...",
-            "success": "תוקנו בהצלחה {count} מתכונים.",
-            "cancelled": "תיקון בוטל. {count} מתכונים תוקנו.",
-            "error": "תיקון המתכונים נכשל: {message}"
-        },
         "rematchRecipes": {
             "label": "התאמה מחדש של מתכונים למודלים מקומיים",
             "loading": "מתבצעת התאמה מחדש של מתכונים למודלים מקומיים...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "קיבוץ לפי מודל",
             "groupByModelHelp": "כאשר מופעל, רק הגרסה העדכנית ביותר של כל מודל CivitAI מוצגת ככרטיס בודד. גרסאות ישנות יותר מוסתרות.",
+            "stickyControls": "השארת סרגל הפעולות גלוי",
+            "stickyControlsHelp": "כאשר מופעל, סרגל הפעולות (רענון, הורדה וכו') נשאר מוצמד לחלק העליון בעת גלילה, יחד עם ניווט פירורי הלחם.",
             "displayDensity": "צפיפות תצוגה",
             "displayDensityOptions": {
                 "default": "ברירת מחדל",
@@ -786,7 +814,6 @@
             "setContentRating": "הגדר דירוג תוכן לכל המודלים",
             "copyAll": "העתק את כל התחבירים",
             "refreshAll": "רענן את כל המטא-נתונים",
-            "repairMetadata": "תקן מטא-נתונים עבור הנבחרים",
             "rematchMetadata": "התאמה מחדש של הנבחרים למודלים מקומיים",
             "reimportMetadata": "ייבא מחדש ממקור",
             "checkUpdates": "בדוק עדכונים לבחירה",
@@ -842,7 +869,6 @@
             "replacePreview": "החלף תצוגה מקדימה",
             "setContentRating": "הגדר דירוג תוכן",
             "moveToFolder": "העבר לתיקייה",
-            "repairMetadata": "תיקון מטא-נתונים",
             "rematchMetadata": "התאמה מחדש למודלים מקומיים",
             "reimportMetadata": "ייבא מחדש ממקור",
             "excludeModel": "החרג מודל",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "המתכון הקודם (←)",
             "nextWithShortcut": "המתכון הבא (→)"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "פתח מיקום קובץ",
+                "copyId": "העתק מזהה מתכון"
+            },
+            "openFileLocation": {
+                "success": "מיקום הקובץ נפתח בהצלחה",
+                "failed": "פתיחת מיקום הקובץ נכשלה",
+                "copied": "הנתיב הועתק ללוח העריכה: {{path}}",
+                "clipboardFallback": "נתיב: {{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "שלח workflow ל-ComfyUI",
             "sent": "ה-workflow נשלח ל-ComfyUI",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "קבלת מידע עבור LoRAs חסרים נכשלה",
                 "prepareError": "שגיאה בהכנת LoRAs להורדה: {message}"
             },
-            "repair": {
-                "starting": "מתקן מטא-נתונים של מתכון...",
-                "success": "מטא-נתונים של מתכון תוקן בהצלחה",
-                "skipped": "המתכון כבר בגרסה העדכנית ביותר, אין צורך בתיקון",
-                "failed": "תיקון המתכון נכשל: {message}",
-                "missingId": "לא ניתן לתקן את המתכון: חסר מזהה מתכון"
-            },
             "reimport": {
                 "starting": "מייבא מתכון מחדש מהמקור...",
                 "success": "המתכון יובא מחדש בהצלחה",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "ערך",
                 "add": "הוסף",
-                "invalidRange": "פורמט טווח לא תקין. השתמש ב-x.x-y.y"
+                "invalidRange": "פורמט טווח לא תקין. השתמש ב-x.x-y.y",
+                "invalidValue": "נא להזין מספר תקין",
+                "saveFailed": "שמירת הפרמטר הקבוע מראש נכשלה",
+                "added": "הפרמטר הקבוע מראש נוסף",
+                "updated": "הפרמטר הקבוע מראש עודכן"
             },
             "triggerWords": {
                 "label": "מילות טריגר",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "הקלד להוספה או לחץ על הצעות למטה",
                 "editWord": "עריכת מילת טריגר",
                 "editPlaceholder": "עריכת מילת טריגר",
-                "copyWord": "העתק מילת טריגר",
+                "copyOrEditWord": "לחץ כדי להעתיק, לחץ פעמיים כדי לערוך",
                 "deleteWord": "מחק מילת טריגר",
                 "suggestions": {
                     "noSuggestions": "אין הצעות זמינות",
@@ -1649,8 +1687,8 @@
                 "showCount": "הצג דוגמאות ({count})",
                 "hideExamples": "הסתר דוגמאות",
                 "addExamples": "הוסף דוגמאות",
-                "previousExample": "דוגמה קודמת",
-                "nextExample": "דוגמה הבאה",
+                "previousExample": "דוגמה קודמת ([)",
+                "nextExample": "דוגמה הבאה (])",
                 "noExamples": "אין תמונות דוגמה זמינות",
                 "addMoreExamples": "הוסף עוד דוגמאות",
                 "dragDrop": "גרור ושחרר תמונות או סרטונים כאן",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "תחילת עבודה",
             "updateVlogs": "בלוגי וידאו של עדכונים",
-            "documentation": "תיעוד"
+            "documentation": "תיעוד",
+            "shortcuts": "קיצורי דרך"
         },
         "gettingStarted": {
-            "title": "תחילת עבודה עם מנהל LoRA"
+            "title": "תחילת עבודה עם מנהל LoRA",
+            "replayTutorial": "הפעל את המדריך מחדש"
+        },
+        "shortcuts": {
+            "title": "קיצורי מקלדת ועכבר",
+            "groups": {
+                "general": "כללי",
+                "actions": "פעולות",
+                "selection": "בחירה ומצב בכמות גדולה",
+                "navigation": "ניווט",
+                "modelModal": "חלון מודל / מתכון",
+                "mediaViewer": "מציג מדיה / גלריית דוגמאות"
+            },
+            "keys": {
+                "click": "לחיצה",
+                "drag": "גרירה",
+                "rightClick": "לחיצה ימנית",
+                "letter": "אות",
+                "swipe": "החלקה"
+            },
+            "entries": {
+                "focusSearch": "העבר מיקוד לחיפוש",
+                "closeModal": "סגור חלון / פאנל",
+                "openShortcuts": "פתח את פאנל קיצורי הדרך הזה",
+                "refresh": "רענן את רשימת המודלים",
+                "fetchMetadata": "אחזר מטא-נתונים מ-CivitAI (דפי מודלים בלבד)",
+                "downloadModel": "הורד מודל (דפי מודלים בלבד)",
+                "toggleBulkMode": "הפעל/כבה מצב בכמות גדולה",
+                "selectAll": "בחר את כל המודלים הגלויים",
+                "rangeSelect": "בחר טווח",
+                "marqueeSelect": "בחר כרטיסים במסגרת בחירה (באזור ריק של הרשת)",
+                "exitBulkMode": "צא ממצב בכמות גדולה",
+                "bulkActions": "על כרטיס נבחר: תפריט פעולות בכמות גדולה",
+                "globalActions": "באזור ריק בדף: תפריט פעולות גלובליות (בדיקת עדכונים, ניהול מודלים מוחרגים)",
+                "scrollPages": "גלול בין דפים",
+                "jumpAlphabet": "קפוץ בעזרת סרגל האותיות",
+                "prevNext": "מודל קודם / הבא",
+                "deleteEntry": "מחק",
+                "cycleMedia": "עבור בין פריטי מדיה ([ / ] בגלריית הדוגמאות)",
+                "swipeTouch": "עבור בין פריטי מדיה במכשירי מגע",
+                "closeViewer": "סגור את המציג"
+            }
         },
         "updateVlogs": {
             "title": "עדכונים אחרונים",
@@ -1934,7 +2014,8 @@
             "settings": "הגדרות ותצורה",
             "extensions": "הרחבות",
             "newBadge": "חדש"
-        }
+        },
+        "newContentBadge": "חדש"
     },
     "update": {
         "title": "בדוק עדכונים",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "לא ניתן היה לעיין בתיקייה: {message}",
             "batchImportDirectorySelected": "נבחרה תיקייה: {path}",
             "noRecipesSelected": "לא נבחרו מתכונים",
-            "repairBulkComplete": "התיקון הושלם: {repaired} תוקנו, {skipped} דולגו (מתוך {total})",
-            "repairBulkSkipped": "אין צורך בתיקון עבור {total} המתכונים הנבחרים",
-            "repairBulkFailed": "תיקון המתכונים הנבחרים נכשל: {message}",
             "rematchComplete": "הותאמו {entries} פריטים ב־{recipes} מתכונים",
             "rematchCompleteErrors": "הותאמו {entries} פריטים ב־{recipes} מתכונים, {failures} נכשלו",
             "rematchAllFailed": "ההתאמה נכשלה עבור {failures} מתוך {total} מתכונים שנבחרו",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "אין צורך בהתאמה עבור {total} המתכונים שנבחרו",
             "rematchFailed": "ההתאמה מחדש של המתכונים שנבחרו נכשלה: {message}",
             "reimporting": "מייבא מתכון מחדש מהמקור...",
+            "reimportingViaExtension": "מייבא מתכון מחדש {current}/{total} דרך תוסף הדפדפן...",
             "reimportSuccess": "המתכון יובא מחדש בהצלחה",
             "reimportBulkComplete": "ייבוא מחדש הושלם: {completed} יובאו, {failed} נכשלו (מתוך {total})",
             "reimportBulkFailed": "ייבוא מחדש של חלק מהמתכונים נכשל",

locales/ja.json

@@ -50,6 +50,27 @@
             "mb": "MB",
             "gb": "GB",
             "tb": "TB"
+        },
+        "scanProgress": {
+            "refreshing": "{type}を更新中...",
+            "fullRebuilding": "{type}を完全に再構築中...",
+            "actionRefresh": "更新",
+            "actionFullRebuild": "完全な再構築",
+            "actionRefreshLower": "更新",
+            "actionRebuildLower": "再構築",
+            "stages": {
+                "scan_folders": "フォルダをスキャン中...",
+                "count_models": "{total} 件のファイルが見つかりました",
+                "process_models": "モデルを処理中",
+                "reconcile_scan": "変更を確認中...",
+                "process_new": "新しいモデルを処理中",
+                "finalizing": "最終処理中..."
+            },
+            "eta": {
+                "lessThanMinute": "残り1分未満",
+                "minutes": "残り約 {minutes} 分",
+                "hours": "残り約 {hours} 時間 {minutes} 分"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "一括操作",
-                "content": "このボタンをクリックするか、<span class=\"onboarding-shortcut\">B</span>キーを押して一括モードに入ります。複数のモデルを選択して一括操作が可能です。<span class=\"onboarding-shortcut\">Ctrl+A</span>で表示中のモデルをすべて選択できます。"
+                "content": "このボタンをクリックするか、<span class=\"onboarding-shortcut\">B</span>キーを押して一括モードに入り、複数のモデルを選択して一括操作を実行できます。<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span>で表示中のモデルをすべて選択、<span class=\"onboarding-shortcut\">Shift+Click</span>で範囲選択。<br>• <span class=\"onboarding-shortcut\">Esc</span>キーまたは空白部分をクリックすると一括モードを終了します。"
             },
             "searchOptions": {
                 "title": "検索オプション",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "コンテキストメニュー",
-                "content": "<strong>モデルカードを右クリック</strong>すると追加の操作ができるコンテキストメニューが表示されます。"
+                "content": "<strong>モデルカードを右クリック</strong>すると、移動、削除、メタデータの編集などのカード操作を含むコンテキストメニューが表示されます。"
+            },
+            "marqueeSelect": {
+                "title": "ドラッグで選択",
+                "content": "グリッドの空白部分で<strong>マウスの左ボタン</strong>を押したままドラッグすると、複数のカードを一度に選択する矩形（マーキー）を描画できます。"
+            },
+            "dragToSidebar": {
+                "title": "ドラッグで整理",
+                "content": "モデルカードをサイドバーのフォルダにドラッグすると、ファイルをそこに移動できます。一括モードで複数選択したカードでも同様に機能します。"
+            },
+            "contextMenus": {
+                "title": "その他のコンテキストメニュー",
+                "content": "一括モードでは、<strong>選択したカードを右クリック</strong>すると一括操作メニューが表示されます。<strong>ページの空白部分を右クリック</strong>すると、更新の確認や除外モデルの管理などのグローバル操作メニューが表示されます。"
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "すべての{typePlural}には既にライセンスメタデータがあります",
             "error": "{typePlural}のライセンスメタデータを更新できませんでした: {message}"
         },
-        "repairRecipes": {
-            "label": "レシピデータの修復",
-            "loading": "レシピデータを修復中...",
-            "success": "{count} 件のレシピを正常に修復しました。",
-            "cancelled": "修復がキャンセルされました。{count}件のレシピが修復されました。",
-            "error": "レシピの修復に失敗しました: {message}"
-        },
         "rematchRecipes": {
             "label": "レシピをローカルモデルに再マッチング",
             "loading": "レシピをローカルモデルに再マッチングしています...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "モデルでグループ化",
             "groupByModelHelp": "有効にすると、各CivitAIモデルの最新バージョンのみが1枚のカードとして表示され、古いバージョンは非表示になります。",
+            "stickyControls": "アクションバーを常に表示",
+            "stickyControlsHelp": "有効にすると、アクションバー（更新、ダウンロードなど）がスクロール時にパンくずナビゲーションと一緒に画面上部に固定されます。",
             "displayDensity": "表示密度",
             "displayDensityOptions": {
                 "default": "デフォルト",
@@ -786,7 +814,6 @@
             "setContentRating": "すべてのモデルのコンテンツレーティングを設定",
             "copyAll": "すべての構文をコピー",
             "refreshAll": "すべてのメタデータを更新",
-            "repairMetadata": "選択したレシピのメタデータを修復",
             "rematchMetadata": "選択したモデルをローカルモデルに再マッチング",
             "reimportMetadata": "ソースから再インポート",
             "checkUpdates": "選択項目の更新を確認",
@@ -842,7 +869,6 @@
             "replacePreview": "プレビューを置換",
             "setContentRating": "コンテンツレーティングを設定",
             "moveToFolder": "フォルダに移動",
-            "repairMetadata": "メタデータを修復",
             "rematchMetadata": "ローカルモデルに再マッチング",
             "reimportMetadata": "ソースから再インポート",
             "excludeModel": "モデルを除外",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "前のレシピ（←）",
             "nextWithShortcut": "次のレシピ（→）"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "ファイルの場所を開く",
+                "copyId": "レシピIDをコピー"
+            },
+            "openFileLocation": {
+                "success": "ファイルの場所を正常に開きました",
+                "failed": "ファイルの場所を開くのに失敗しました",
+                "copied": "パスをクリップボードにコピーしました: {{path}}",
+                "clipboardFallback": "パス: {{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "ワークフローをComfyUIへ送信",
             "sent": "ワークフローをComfyUIへ送信しました",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "不足LoRAの情報取得に失敗しました",
                 "prepareError": "ダウンロード用LoRAの準備中にエラー：{message}"
             },
-            "repair": {
-                "starting": "レシピのメタデータを修復中...",
-                "success": "レシピのメタデータが正常に修復されました",
-                "skipped": "レシピはすでに最新バージョンです。修復は不要です",
-                "failed": "レシピの修復に失敗しました: {message}",
-                "missingId": "レシピを修復できません: レシピIDがありません"
-            },
             "reimport": {
                 "starting": "ソースからレシピを再インポート中...",
                 "success": "レシピの再インポートが完了しました",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "値",
                 "add": "追加",
-                "invalidRange": "無効な範囲形式です。x.x-y.y を使用してください"
+                "invalidRange": "無効な範囲形式です。x.x-y.y を使用してください",
+                "invalidValue": "有効な数値を入力してください",
+                "saveFailed": "プリセットパラメータの保存に失敗しました",
+                "added": "プリセットパラメータを追加しました",
+                "updated": "プリセットパラメータを更新しました"
             },
             "triggerWords": {
                 "label": "トリガーワード",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "入力して追加するか、下の提案をクリック",
                 "editWord": "トリガーワードを編集",
                 "editPlaceholder": "トリガーワードを編集",
-                "copyWord": "トリガーワードをコピー",
+                "copyOrEditWord": "クリックでコピー、ダブルクリックで編集",
                 "deleteWord": "トリガーワードを削除",
                 "suggestions": {
                     "noSuggestions": "提案はありません",
@@ -1649,8 +1687,8 @@
                 "showCount": "例を表示（{count}）",
                 "hideExamples": "例を非表示",
                 "addExamples": "例を追加",
-                "previousExample": "前の例",
-                "nextExample": "次の例",
+                "previousExample": "前の例（[）",
+                "nextExample": "次の例（]）",
                 "noExamples": "利用可能な例画像がありません",
                 "addMoreExamples": "さらに例を追加",
                 "dragDrop": "画像または動画をここにドラッグ＆ドロップ",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "はじめに",
             "updateVlogs": "更新Vlog",
-            "documentation": "ドキュメント"
+            "documentation": "ドキュメント",
+            "shortcuts": "ショートカット"
         },
         "gettingStarted": {
-            "title": "LoRA Managerを始める"
+            "title": "LoRA Managerを始める",
+            "replayTutorial": "チュートリアルをもう一度再生"
+        },
+        "shortcuts": {
+            "title": "キーボード & マウスのショートカット",
+            "groups": {
+                "general": "一般",
+                "actions": "操作",
+                "selection": "選択 & 一括モード",
+                "navigation": "ナビゲーション",
+                "modelModal": "モデル / レシピモーダル",
+                "mediaViewer": "メディアビューア / ショーケース"
+            },
+            "keys": {
+                "click": "クリック",
+                "drag": "ドラッグ",
+                "rightClick": "右クリック",
+                "letter": "文字キー",
+                "swipe": "スワイプ"
+            },
+            "entries": {
+                "focusSearch": "検索にフォーカス",
+                "closeModal": "モーダル / パネルを閉じる",
+                "openShortcuts": "このショートカットパネルを開く",
+                "refresh": "モデルリストを更新",
+                "fetchMetadata": "CivitAIからメタデータを取得（モデルページのみ）",
+                "downloadModel": "モデルをダウンロード（モデルページのみ）",
+                "toggleBulkMode": "一括モードを切り替え",
+                "selectAll": "表示中のモデルをすべて選択",
+                "rangeSelect": "範囲選択",
+                "marqueeSelect": "カードを矩形選択（グリッドの空白部分で）",
+                "exitBulkMode": "一括モードを終了",
+                "bulkActions": "選択したカード上：一括操作メニュー",
+                "globalActions": "ページの空白部分：グローバル操作メニュー（更新の確認、除外モデルの管理）",
+                "scrollPages": "ページをスクロール",
+                "jumpAlphabet": "アルファベットバーへジャンプ",
+                "prevNext": "前 / 次のモデル",
+                "deleteEntry": "削除",
+                "cycleMedia": "メディアを切り替え（ショーケースギャラリーでは [ / ]）",
+                "swipeTouch": "タッチデバイスでメディアを切り替え",
+                "closeViewer": "ビューアを閉じる"
+            }
         },
         "updateVlogs": {
             "title": "最新の更新",
@@ -1934,7 +2014,8 @@
             "settings": "設定&構成",
             "extensions": "拡張機能",
             "newBadge": "新着"
-        }
+        },
+        "newContentBadge": "新着"
     },
     "update": {
         "title": "更新確認",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "フォルダを参照できませんでした: {message}",
             "batchImportDirectorySelected": "選択されたフォルダ: {path}",
             "noRecipesSelected": "レシピが選択されていません",
-            "repairBulkComplete": "修復完了：{repaired} 件修復、{skipped} 件スキップ（合計 {total} 件）",
-            "repairBulkSkipped": "選択した {total} 件のレシピは修復不要です",
-            "repairBulkFailed": "選択したレシピの修復に失敗しました：{message}",
             "rematchComplete": "{recipes} 件のレシピで {entries} エントリをマッチングしました",
             "rematchCompleteErrors": "{recipes} 件のレシピで {entries} エントリをマッチングしました（{failures} 件失敗）",
             "rematchAllFailed": "選択した {total} 件中 {failures} 件のレシピの再マッチングに失敗しました",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "選択した {total} 件のレシピは再マッチングの必要がありませんでした",
             "rematchFailed": "選択したレシピの再マッチングに失敗しました：{message}",
             "reimporting": "ソースからレシピを再インポート中...",
+            "reimportingViaExtension": "ブラウザ拡張機能経由でレシピを再インポート中 ({current}/{total})...",
             "reimportSuccess": "レシピの再インポートが完了しました",
             "reimportBulkComplete": "再インポート完了：{completed} 件成功、{failed} 件失敗（合計 {total} 件）",
             "reimportBulkFailed": "一部のレシピの再インポートに失敗しました",

locales/ko.json

@@ -50,6 +50,27 @@
             "mb": "MB",
             "gb": "GB",
             "tb": "TB"
+        },
+        "scanProgress": {
+            "refreshing": "{type} 새로고침 중...",
+            "fullRebuilding": "{type} 전체 재구성 중...",
+            "actionRefresh": "새로고침",
+            "actionFullRebuild": "전체 재구성",
+            "actionRefreshLower": "새로고침",
+            "actionRebuildLower": "재구성",
+            "stages": {
+                "scan_folders": "폴더 스캔 중...",
+                "count_models": "파일 {total}개 발견",
+                "process_models": "모델 처리 중",
+                "reconcile_scan": "변경 사항 확인 중...",
+                "process_new": "새 모델 처리 중",
+                "finalizing": "마무리 중..."
+            },
+            "eta": {
+                "lessThanMinute": "남은 시간 1분 미만",
+                "minutes": "약 {minutes}분 남음",
+                "hours": "약 {hours}시간 {minutes}분 남음"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "일괄 작업",
-                "content": "이 버튼을 클릭하거나 <span class=\"onboarding-shortcut\">B</span> 키를 눌러 일괄 모드로 진입하세요. 여러 모델을 선택하여 일괄 작업을 수행할 수 있습니다. <span class=\"onboarding-shortcut\">Ctrl+A</span>로 모든 표시된 모델을 선택하세요."
+                "content": "이 버튼을 클릭하거나 <span class=\"onboarding-shortcut\">B</span> 키를 눌러 일괄 모드로 진입하여 여러 모델을 선택하고 일괄 작업을 수행하세요.<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span>로 모든 표시된 모델을 선택하고, <span class=\"onboarding-shortcut\">Shift+Click</span>으로 범위를 선택할 수 있습니다.<br>• <span class=\"onboarding-shortcut\">Esc</span> 키를 누르거나 빈 영역을 클릭하면 일괄 모드가 종료됩니다."
             },
             "searchOptions": {
                 "title": "검색 옵션",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "컨텍스트 메뉴",
-                "content": "<strong>오른쪽 클릭</strong>으로 모델 카드의 추가 작업 메뉴를 사용할 수 있습니다."
+                "content": "모델 카드를 <strong>오른쪽 클릭</strong>하면 이동, 삭제, 메타데이터 편집 같은 카드 작업이 담긴 컨텍스트 메뉴를 사용할 수 있습니다."
+            },
+            "marqueeSelect": {
+                "title": "드래그로 선택",
+                "content": "그리드의 빈 영역에서 <strong>마우스 왼쪽 버튼</strong>을 누른 채 드래그하여 여러 카드를 한 번에 선택하는 선택 영역을 그리세요."
+            },
+            "dragToSidebar": {
+                "title": "드래그로 정리",
+                "content": "모델 카드를 사이드바의 폴더로 드래그하면 파일이 해당 폴더로 이동합니다. 일괄 모드에서 선택한 여러 카드에도 적용됩니다."
+            },
+            "contextMenus": {
+                "title": "더 많은 컨텍스트 메뉴",
+                "content": "일괄 모드에서는 <strong>선택한 카드를 오른쪽 클릭</strong>하여 일괄 작업을 사용할 수 있습니다. 페이지의 <strong>빈 영역을 오른쪽 클릭</strong>하면 업데이트 확인이나 제외된 모델 관리 같은 전역 작업을 사용할 수 있습니다."
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "모든 {typePlural}에 이미 라이선스 메타데이터가 있습니다",
             "error": "{typePlural}의 라이선스 메타데이터를 새로고침하지 못했습니다: {message}"
         },
-        "repairRecipes": {
-            "label": "레시피 데이터 복구",
-            "loading": "레시피 데이터 복구 중...",
-            "success": "{count}개의 레시피가 성공적으로 복구되었습니다.",
-            "cancelled": "수리가 취소되었습니다. {count}개의 레시피가 수리되었습니다.",
-            "error": "레시피 복구 실패: {message}"
-        },
         "rematchRecipes": {
             "label": "레시피를 로컬 모델에 다시 매칭",
             "loading": "레시피를 로컬 모델에 다시 매칭하는 중...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "모델별 그룹화",
             "groupByModelHelp": "활성화하면 각 CivitAI 모델의 최신 버전만 단일 카드로 표시되며, 이전 버전은 숨겨집니다.",
+            "stickyControls": "작업 표시줄 항상 표시",
+            "stickyControlsHelp": "활성화하면 작업 표시줄(새로고침, 다운로드 등)이 스크롤 시 브레드크럼 내비게이션과 함께 상단에 고정됩니다.",
             "displayDensity": "표시 밀도",
             "displayDensityOptions": {
                 "default": "기본",
@@ -786,7 +814,6 @@
             "setContentRating": "모든 모델에 콘텐츠 등급 설정",
             "copyAll": "모든 문법 복사",
             "refreshAll": "모든 메타데이터 새로고침",
-            "repairMetadata": "선택한 레시피 메타데이터 복구",
             "rematchMetadata": "선택 항목을 로컬 모델에 다시 매칭",
             "reimportMetadata": "소스에서 다시 가져오기",
             "checkUpdates": "선택 항목 업데이트 확인",
@@ -842,7 +869,6 @@
             "replacePreview": "미리보기 교체",
             "setContentRating": "콘텐츠 등급 설정",
             "moveToFolder": "폴더로 이동",
-            "repairMetadata": "메타데이터 복구",
             "rematchMetadata": "로컬 모델에 다시 매칭",
             "reimportMetadata": "소스에서 다시 가져오기",
             "excludeModel": "모델 제외",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "이전 레시피(←)",
             "nextWithShortcut": "다음 레시피(→)"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "파일 위치 열기",
+                "copyId": "레시피 ID 복사"
+            },
+            "openFileLocation": {
+                "success": "파일 위치가 성공적으로 열렸습니다",
+                "failed": "파일 위치 열기에 실패했습니다",
+                "copied": "경로가 클립보드에 복사되었습니다: {{path}}",
+                "clipboardFallback": "경로: {{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "워크플로를 ComfyUI로 보내기",
             "sent": "워크플로를 ComfyUI로 보냈습니다",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "누락된 LoRA 정보를 가져오는데 실패했습니다",
                 "prepareError": "LoRA 다운로드 준비 중 오류: {message}"
             },
-            "repair": {
-                "starting": "레시피 메타데이터 복구 중...",
-                "success": "레시피 메타데이터가 성공적으로 복구되었습니다",
-                "skipped": "레시피가 이미 최신 버전입니다. 복구가 필요하지 않습니다",
-                "failed": "레시피 복구 실패: {message}",
-                "missingId": "레시피를 복구할 수 없음: 레시피 ID 누락"
-            },
             "reimport": {
                 "starting": "소스에서 레시피를 다시 가져오는 중...",
                 "success": "레시피를 다시 가져왔습니다",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "클립 스킵",
                 "valuePlaceholder": "값",
                 "add": "추가",
-                "invalidRange": "잘못된 범위 형식입니다. x.x-y.y를 사용하세요"
+                "invalidRange": "잘못된 범위 형식입니다. x.x-y.y를 사용하세요",
+                "invalidValue": "유효한 숫자를 입력하세요",
+                "saveFailed": "프리셋 매개변수 저장에 실패했습니다",
+                "added": "프리셋 매개변수가 추가되었습니다",
+                "updated": "프리셋 매개변수가 업데이트되었습니다"
             },
             "triggerWords": {
                 "label": "트리거 단어",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "입력하거나 아래 제안을 클릭하세요",
                 "editWord": "트리거 단어 편집",
                 "editPlaceholder": "트리거 단어 편집",
-                "copyWord": "트리거 단어 복사",
+                "copyOrEditWord": "클릭하여 복사, 더블 클릭하여 편집",
                 "deleteWord": "트리거 단어 삭제",
                 "suggestions": {
                     "noSuggestions": "사용 가능한 제안이 없습니다",
@@ -1649,8 +1687,8 @@
                 "showCount": "예시 보기 ({count})",
                 "hideExamples": "예시 숨기기",
                 "addExamples": "예시 추가",
-                "previousExample": "이전 예시",
-                "nextExample": "다음 예시",
+                "previousExample": "이전 예시([)",
+                "nextExample": "다음 예시(])",
                 "noExamples": "사용 가능한 예시 이미지가 없습니다",
                 "addMoreExamples": "예시 더 추가",
                 "dragDrop": "이미지 또는 비디오를 여기로 끌어다 놓으세요",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "시작하기",
             "updateVlogs": "업데이트 영상",
-            "documentation": "문서"
+            "documentation": "문서",
+            "shortcuts": "단축키"
         },
         "gettingStarted": {
-            "title": "LoRA Manager 시작하기"
+            "title": "LoRA Manager 시작하기",
+            "replayTutorial": "튜토리얼 다시 보기"
+        },
+        "shortcuts": {
+            "title": "키보드 & 마우스 단축키",
+            "groups": {
+                "general": "일반",
+                "actions": "작업",
+                "selection": "선택 & 일괄 모드",
+                "navigation": "내비게이션",
+                "modelModal": "모델 / 레시피 모달",
+                "mediaViewer": "미디어 뷰어 / 쇼케이스"
+            },
+            "keys": {
+                "click": "클릭",
+                "drag": "드래그",
+                "rightClick": "오른쪽 클릭",
+                "letter": "문자 키",
+                "swipe": "스와이프"
+            },
+            "entries": {
+                "focusSearch": "검색창으로 포커스 이동",
+                "closeModal": "모달 / 패널 닫기",
+                "openShortcuts": "이 단축키 패널 열기",
+                "refresh": "모델 목록 새로고침",
+                "fetchMetadata": "CivitAI에서 메타데이터 가져오기 (모델 페이지만)",
+                "downloadModel": "모델 다운로드 (모델 페이지만)",
+                "toggleBulkMode": "일괄 모드 전환",
+                "selectAll": "표시된 모든 모델 선택",
+                "rangeSelect": "범위 선택",
+                "marqueeSelect": "드래그로 카드 선택 (빈 그리드 영역에서)",
+                "exitBulkMode": "일괄 모드 종료",
+                "bulkActions": "선택한 카드에서: 일괄 작업 메뉴",
+                "globalActions": "페이지 빈 영역에서: 전역 작업 메뉴 (업데이트 확인, 제외된 모델 관리)",
+                "scrollPages": "페이지 스크롤",
+                "jumpAlphabet": "알파벳 바로 이동",
+                "prevNext": "이전 / 다음 모델",
+                "deleteEntry": "삭제",
+                "cycleMedia": "미디어 전환 (쇼케이스 갤러리에서 [ / ])",
+                "swipeTouch": "터치 기기에서 미디어 전환",
+                "closeViewer": "뷰어 닫기"
+            }
         },
         "updateVlogs": {
             "title": "최신 업데이트",
@@ -1934,7 +2014,8 @@
             "settings": "설정 & 구성",
             "extensions": "확장",
             "newBadge": "신규"
-        }
+        },
+        "newContentBadge": "신규"
     },
     "update": {
         "title": "업데이트 확인",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "폴더를 찾아보지 못했습니다: {message}",
             "batchImportDirectorySelected": "선택한 폴더: {path}",
             "noRecipesSelected": "선택한 레시피가 없습니다",
-            "repairBulkComplete": "복구 완료: {repaired}개 복구, {skipped}개 건너뜀 (총 {total}개)",
-            "repairBulkSkipped": "선택한 {total}개 레시피는 복구가 필요하지 않습니다",
-            "repairBulkFailed": "선택한 레시피 복구 실패: {message}",
             "rematchComplete": "{recipes}개 레시피에서 {entries}개 항목이 매칭되었습니다",
             "rematchCompleteErrors": "{recipes}개 레시피에서 {entries}개 항목이 매칭되었습니다. {failures}개 실패",
             "rematchAllFailed": "선택한 {total}개 레시피 중 {failures}개 재매칭 실패",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "선택한 {total}개 레시피는 재매칭이 필요하지 않습니다",
             "rematchFailed": "선택한 레시피 재매칭 실패: {message}",
             "reimporting": "소스에서 레시피를 다시 가져오는 중...",
+            "reimportingViaExtension": "브라우저 확장 프로그램을 통해 레시피를 다시 가져오는 중 ({current}/{total})...",
             "reimportSuccess": "레시피를 다시 가져왔습니다",
             "reimportBulkComplete": "다시 가져오기 완료: {completed}개 성공, {failed}개 실패 (총 {total}개)",
             "reimportBulkFailed": "일부 레시피를 다시 가져오지 못했습니다",

locales/ru.json

@@ -50,6 +50,27 @@
             "mb": "МБ",
             "gb": "ГБ",
             "tb": "ТБ"
+        },
+        "scanProgress": {
+            "refreshing": "Обновление {type}...",
+            "fullRebuilding": "Полная пересборка {type}...",
+            "actionRefresh": "Обновление",
+            "actionFullRebuild": "Полная пересборка",
+            "actionRefreshLower": "обновить",
+            "actionRebuildLower": "пересобрать",
+            "stages": {
+                "scan_folders": "Сканирование папок...",
+                "count_models": "Найдено файлов: {total}",
+                "process_models": "Обработка моделей",
+                "reconcile_scan": "Проверка изменений...",
+                "process_new": "Обработка новых моделей",
+                "finalizing": "Завершение..."
+            },
+            "eta": {
+                "lessThanMinute": "Осталось меньше минуты",
+                "minutes": "Осталось ~{minutes} мин",
+                "hours": "Осталось ~{hours} ч {minutes} мин"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "Массовые операции",
-                "content": "Войдите в массовый режим, нажав эту кнопку или клавишу <span class=\"onboarding-shortcut\">B</span>. Выберите несколько моделей и выполните пакетные операции. Используйте <span class=\"onboarding-shortcut\">Ctrl+A</span> для выбора всех видимых моделей."
+                "content": "Войдите в массовый режим, нажав эту кнопку или клавишу <span class=\"onboarding-shortcut\">B</span>, чтобы выбрать несколько моделей и выполнить пакетные операции.<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> — выбрать все видимые модели, <span class=\"onboarding-shortcut\">Shift+Click</span> — выбрать диапазон.<br>• <span class=\"onboarding-shortcut\">Esc</span> или клик по пустой области выходит из массового режима."
             },
             "searchOptions": {
                 "title": "Опции поиска",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "Контекстное меню",
-                "content": "<strong>Правый клик</strong> по карточке модели откроет контекстное меню с дополнительными действиями."
+                "content": "<strong>Правый клик</strong> по любой карточке модели открывает контекстное меню с действиями над карточкой, такими как перемещение, удаление или редактирование метаданных."
+            },
+            "marqueeSelect": {
+                "title": "Выделение рамкой",
+                "content": "Удерживайте <strong>левую кнопку мыши</strong> на пустой области сетки и перетащите, чтобы нарисовать рамку, выделяющую сразу несколько карточек."
+            },
+            "dragToSidebar": {
+                "title": "Организация перетаскиванием",
+                "content": "Перетащите карточку модели на папку в боковой панели, чтобы переместить туда файл. Это также работает с несколькими выделенными карточками в массовом режиме."
+            },
+            "contextMenus": {
+                "title": "Другие контекстные меню",
+                "content": "В массовом режиме <strong>правый клик по выделенной карточке</strong> открывает меню массовых операций. <strong>Правый клик по пустой области</strong> страницы открывает глобальные действия, такие как проверка обновлений и управление исключёнными моделями."
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "У всех {typePlural} уже есть метаданные лицензии",
             "error": "Не удалось обновить метаданные лицензии для {typePlural}: {message}"
         },
-        "repairRecipes": {
-            "label": "Восстановить данные рецептов",
-            "loading": "Восстановление данных рецептов...",
-            "success": "Успешно восстановлено {count} рецептов.",
-            "cancelled": "Восстановление отменено. {count} рецептов было восстановлено.",
-            "error": "Ошибка восстановления рецептов: {message}"
-        },
         "rematchRecipes": {
             "label": "Повторное сопоставление рецептов с локальными моделями",
             "loading": "Повторное сопоставление рецептов с локальными моделями...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "Группировать по модели",
             "groupByModelHelp": "При включении отображается только последняя версия каждой модели CivitAI в виде одной карточки. Старые версии скрыты.",
+            "stickyControls": "Держать панель действий видимой",
+            "stickyControlsHelp": "При включении панель действий (Обновить, Загрузить и т. д.) остаётся закреплённой вверху при прокрутке вместе с навигацией по папкам.",
             "displayDensity": "Плотность отображения",
             "displayDensityOptions": {
                 "default": "По умолчанию",
@@ -786,7 +814,6 @@
             "setContentRating": "Установить рейтинг контента для всех",
             "copyAll": "Копировать весь синтаксис",
             "refreshAll": "Обновить все метаданные",
-            "repairMetadata": "Восстановить метаданные для выбранных",
             "rematchMetadata": "Сопоставить выбранные с локальными моделями",
             "reimportMetadata": "Переимпортировать из источника",
             "checkUpdates": "Проверить обновления для выбранных",
@@ -842,7 +869,6 @@
             "replacePreview": "Заменить превью",
             "setContentRating": "Установить рейтинг контента",
             "moveToFolder": "Переместить в папку",
-            "repairMetadata": "Восстановить метаданные",
             "rematchMetadata": "Сопоставить с локальными моделями",
             "reimportMetadata": "Переимпортировать из источника",
             "excludeModel": "Исключить модель",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "Предыдущий рецепт (←)",
             "nextWithShortcut": "Следующий рецепт (→)"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "Открыть расположение файла",
+                "copyId": "Копировать ID рецепта"
+            },
+            "openFileLocation": {
+                "success": "Расположение файла успешно открыто",
+                "failed": "Не удалось открыть расположение файла",
+                "copied": "Путь скопирован в буфер обмена: {{path}}",
+                "clipboardFallback": "Путь: {{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "Отправить workflow в ComfyUI",
             "sent": "Workflow отправлен в ComfyUI",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "Не удалось получить информацию для отсутствующих LoRAs",
                 "prepareError": "Ошибка подготовки LoRAs для загрузки: {message}"
             },
-            "repair": {
-                "starting": "Восстановление метаданных рецепта...",
-                "success": "Метаданные рецепта успешно восстановлены",
-                "skipped": "Рецепт уже последней версии, восстановление не требуется",
-                "failed": "Не удалось восстановить рецепт: {message}",
-                "missingId": "Не удалось восстановить рецепт: отсутствует ID рецепта"
-            },
             "reimport": {
                 "starting": "Переимпорт рецепта из источника...",
                 "success": "Рецепт успешно переимпортирован",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "Значение",
                 "add": "Добавить",
-                "invalidRange": "Неверный формат диапазона. Используйте x.x-y.y"
+                "invalidRange": "Неверный формат диапазона. Используйте x.x-y.y",
+                "invalidValue": "Введите корректное число",
+                "saveFailed": "Не удалось сохранить предустановленный параметр",
+                "added": "Предустановленный параметр добавлен",
+                "updated": "Предустановленный параметр обновлён"
             },
             "triggerWords": {
                 "label": "Триггерные слова",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "Введите для добавления или нажмите на предложения ниже",
                 "editWord": "Редактировать триггерное слово",
                 "editPlaceholder": "Редактировать триггерное слово",
-                "copyWord": "Копировать триггерное слово",
+                "copyOrEditWord": "Клик — скопировать, двойной клик — редактировать",
                 "deleteWord": "Удалить триггерное слово",
                 "suggestions": {
                     "noSuggestions": "Предложения недоступны",
@@ -1649,8 +1687,8 @@
                 "showCount": "Показать примеры ({count})",
                 "hideExamples": "Скрыть примеры",
                 "addExamples": "Добавить примеры",
-                "previousExample": "Предыдущий пример",
-                "nextExample": "Следующий пример",
+                "previousExample": "Предыдущий пример ([)",
+                "nextExample": "Следующий пример (])",
                 "noExamples": "Примеры изображений недоступны",
                 "addMoreExamples": "Добавить ещё примеры",
                 "dragDrop": "Перетащите изображения или видео сюда",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "Начало работы",
             "updateVlogs": "Видео обновлений",
-            "documentation": "Документация"
+            "documentation": "Документация",
+            "shortcuts": "Горячие клавиши"
         },
         "gettingStarted": {
-            "title": "Начало работы с LoRA Manager"
+            "title": "Начало работы с LoRA Manager",
+            "replayTutorial": "Повторить обучение"
+        },
+        "shortcuts": {
+            "title": "Горячие клавиши и действия мыши",
+            "groups": {
+                "general": "Общие",
+                "actions": "Действия",
+                "selection": "Выделение и массовый режим",
+                "navigation": "Навигация",
+                "modelModal": "Окно модели / рецепта",
+                "mediaViewer": "Просмотр медиа / Витрина"
+            },
+            "keys": {
+                "click": "Клик",
+                "drag": "Перетаскивание",
+                "rightClick": "Правый клик",
+                "letter": "Буква",
+                "swipe": "Свайп"
+            },
+            "entries": {
+                "focusSearch": "Переход к поиску",
+                "closeModal": "Закрыть модальное окно / панель",
+                "openShortcuts": "Открыть эту панель горячих клавиш",
+                "refresh": "Обновить список моделей",
+                "fetchMetadata": "Получить метаданные с CivitAI (только на страницах моделей)",
+                "downloadModel": "Загрузить модель (только на страницах моделей)",
+                "toggleBulkMode": "Переключить массовый режим",
+                "selectAll": "Выбрать все видимые модели",
+                "rangeSelect": "Выбор диапазона",
+                "marqueeSelect": "Выделение карточек рамкой (на пустой области сетки)",
+                "exitBulkMode": "Выйти из массового режима",
+                "bulkActions": "На выделенной карточке: меню массовых операций",
+                "globalActions": "На пустой области страницы: меню глобальных действий (проверка обновлений, управление исключёнными моделями)",
+                "scrollPages": "Прокрутка страниц",
+                "jumpAlphabet": "Переход по алфавитной панели",
+                "prevNext": "Предыдущая / следующая модель",
+                "deleteEntry": "Удалить",
+                "cycleMedia": "Переключение медиа ([ / ] в галерее витрины)",
+                "swipeTouch": "Переключение медиа на сенсорных устройствах",
+                "closeViewer": "Закрыть окно просмотра"
+            }
         },
         "updateVlogs": {
             "title": "Последние обновления",
@@ -1934,7 +2014,8 @@
             "settings": "Настройки и конфигурация",
             "extensions": "Расширения",
             "newBadge": "НОВОЕ"
-        }
+        },
+        "newContentBadge": "НОВОЕ"
     },
     "update": {
         "title": "Проверить обновления",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "Не удалось открыть папку: {message}",
             "batchImportDirectorySelected": "Выбрана папка: {path}",
             "noRecipesSelected": "Рецепты не выбраны",
-            "repairBulkComplete": "Восстановление завершено: {repaired} восстановлено, {skipped} пропущено (из {total})",
-            "repairBulkSkipped": "Ни один из {total} выбранных рецептов не требует восстановления",
-            "repairBulkFailed": "Не удалось восстановить выбранные рецепты: {message}",
             "rematchComplete": "Сопоставлено записей: {entries} в рецептах: {recipes}",
             "rematchCompleteErrors": "Сопоставлено записей: {entries} в рецептах: {recipes}, ошибок: {failures}",
             "rematchAllFailed": "Не удалось сопоставить: {failures} из {total} выбранных рецептов",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "Ни один из {total} выбранных рецептов не требует сопоставления",
             "rematchFailed": "Не удалось сопоставить выбранные рецепты: {message}",
             "reimporting": "Переимпорт рецепта из источника...",
+            "reimportingViaExtension": "Переимпорт рецепта {current}/{total} через расширение браузера...",
             "reimportSuccess": "Рецепт успешно переимпортирован",
             "reimportBulkComplete": "Переимпорт завершён: {completed} переимпортировано, {failed} ошибок (из {total})",
             "reimportBulkFailed": "Не удалось переимпортировать некоторые рецепты",

locales/zh-CN.json

@@ -50,6 +50,27 @@
             "mb": "MB",
             "gb": "GB",
             "tb": "TB"
+        },
+        "scanProgress": {
+            "refreshing": "正在刷新 {type}...",
+            "fullRebuilding": "正在完全重建 {type}...",
+            "actionRefresh": "刷新",
+            "actionFullRebuild": "完全重建",
+            "actionRefreshLower": "刷新",
+            "actionRebuildLower": "重建",
+            "stages": {
+                "scan_folders": "正在扫描文件夹...",
+                "count_models": "找到 {total} 个文件",
+                "process_models": "正在处理模型",
+                "reconcile_scan": "正在检查变更...",
+                "process_new": "正在处理新模型",
+                "finalizing": "正在收尾..."
+            },
+            "eta": {
+                "lessThanMinute": "剩余时间不到一分钟",
+                "minutes": "剩余约 {minutes} 分钟",
+                "hours": "剩余约 {hours} 小时 {minutes} 分钟"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "批量操作",
-                "content": "点击此按钮或按 <span class=\"onboarding-shortcut\">B</span> 进入批量模式。可多选模型并进行批量操作。使用 <span class=\"onboarding-shortcut\">Ctrl+A</span> 全选所有可见模型。"
+                "content": "点击此按钮或按 <span class=\"onboarding-shortcut\">B</span> 进入批量模式，可多选模型并执行批量操作。<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> 全选所有可见模型，<span class=\"onboarding-shortcut\">Shift+Click</span> 选择一个范围。<br>• 按 <span class=\"onboarding-shortcut\">Esc</span> 或点击空白区域退出批量模式。"
             },
             "searchOptions": {
                 "title": "搜索选项",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "右键菜单",
-                "content": "<strong>右键点击</strong>任意模型卡片可打开更多操作菜单。"
+                "content": "<strong>右键点击</strong>任意模型卡片，可打开包含移动、删除或编辑元数据等卡片操作的菜单。"
+            },
+            "marqueeSelect": {
+                "title": "拖动框选",
+                "content": "在网格的空白区域按住<strong>鼠标左键</strong>并拖动，绘制一个可同时选中多张卡片的框选区域。"
+            },
+            "dragToSidebar": {
+                "title": "拖放整理",
+                "content": "将模型卡片拖到侧边栏的文件夹上，即可把文件移动到该文件夹。批量模式下选中的多张卡片也可如此操作。"
+            },
+            "contextMenus": {
+                "title": "更多右键菜单",
+                "content": "在批量模式下，<strong>右键点击已选中的卡片</strong>可进行批量操作。<strong>右键点击页面空白区域</strong>可使用检查更新、管理已排除的模型等全局操作。"
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "所有 {typePlural} 都已具备许可证元数据",
             "error": "刷新 {typePlural} 的许可证元数据失败：{message}"
         },
-        "repairRecipes": {
-            "label": "修复配方数据",
-            "loading": "正在修复配方数据...",
-            "success": "成功修复了 {count} 个配方。",
-            "cancelled": "修复已取消。已修复 {count} 个配方。",
-            "error": "配方修复失败：{message}"
-        },
         "rematchRecipes": {
             "label": "将配方重新匹配到本地模型",
             "loading": "正在将配方重新匹配到本地模型...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "按模型分组",
             "groupByModelHelp": "开启后，每个 CivitAI 模型仅显示最新版本的单张卡片，旧版本将被隐藏。",
+            "stickyControls": "保持操作栏可见",
+            "stickyControlsHelp": "开启后，操作栏（刷新、下载等）会在滚动时与路径导航一起固定在页面顶部。",
             "displayDensity": "显示密度",
             "displayDensityOptions": {
                 "default": "默认",
@@ -786,7 +814,6 @@
             "setContentRating": "为所选中设置内容评级",
             "copyAll": "复制所选中语法",
             "refreshAll": "刷新所选中元数据",
-            "repairMetadata": "修复所选中元数据",
             "rematchMetadata": "将所选中重新匹配到本地模型",
             "reimportMetadata": "从源重新导入",
             "checkUpdates": "检查所选更新",
@@ -842,7 +869,6 @@
             "replacePreview": "替换预览",
             "setContentRating": "设置内容评级",
             "moveToFolder": "移动到文件夹",
-            "repairMetadata": "修复元数据",
             "rematchMetadata": "重新匹配到本地模型",
             "reimportMetadata": "从源重新导入",
             "excludeModel": "排除模型",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "上一个配方（←）",
             "nextWithShortcut": "下一个配方（→）"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "打开文件位置",
+                "copyId": "复制配方 ID"
+            },
+            "openFileLocation": {
+                "success": "文件位置已成功打开",
+                "failed": "打开文件位置失败",
+                "copied": "路径已复制到剪贴板：{{path}}",
+                "clipboardFallback": "路径：{{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "发送工作流到 ComfyUI",
             "sent": "工作流已发送到 ComfyUI",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "获取缺失 LoRA 信息失败",
                 "prepareError": "准备下载 LoRA 时出错：{message}"
             },
-            "repair": {
-                "starting": "正在修复配方元数据...",
-                "success": "配方元数据修复成功",
-                "skipped": "配方已是最新版本，无需修复",
-                "failed": "修复配方失败：{message}",
-                "missingId": "无法修复配方：缺少配方 ID"
-            },
             "reimport": {
                 "starting": "正在从源重新导入配方...",
                 "success": "配方已从源重新导入成功",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "数值",
                 "add": "添加",
-                "invalidRange": "无效的范围格式。请使用 x.x-y.y"
+                "invalidRange": "无效的范围格式。请使用 x.x-y.y",
+                "invalidValue": "请输入有效的数值",
+                "saveFailed": "保存预设参数失败",
+                "added": "已添加预设参数",
+                "updated": "已更新预设参数"
             },
             "triggerWords": {
                 "label": "触发词",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "输入或点击下方建议添加",
                 "editWord": "编辑触发词",
                 "editPlaceholder": "编辑触发词",
-                "copyWord": "复制触发词",
+                "copyOrEditWord": "单击复制，双击编辑",
                 "deleteWord": "删除触发词",
                 "suggestions": {
                     "noSuggestions": "暂无建议",
@@ -1649,8 +1687,8 @@
                 "showCount": "显示示例（{count}）",
                 "hideExamples": "隐藏示例",
                 "addExamples": "添加示例",
-                "previousExample": "上一个示例",
-                "nextExample": "下一个示例",
+                "previousExample": "上一个示例（[）",
+                "nextExample": "下一个示例（]）",
                 "noExamples": "暂无示例图片",
                 "addMoreExamples": "添加更多示例",
                 "dragDrop": "将图片或视频拖放到此处",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "新手入门",
             "updateVlogs": "更新日志",
-            "documentation": "文档"
+            "documentation": "文档",
+            "shortcuts": "快捷键"
         },
         "gettingStarted": {
-            "title": "LoRA 管理器新手入门"
+            "title": "LoRA 管理器新手入门",
+            "replayTutorial": "重播教程"
+        },
+        "shortcuts": {
+            "title": "键盘与鼠标快捷键",
+            "groups": {
+                "general": "通用",
+                "actions": "操作",
+                "selection": "选择与批量模式",
+                "navigation": "导航",
+                "modelModal": "模型 / 配方弹窗",
+                "mediaViewer": "媒体查看器 / 示例展示"
+            },
+            "keys": {
+                "click": "单击",
+                "drag": "拖动",
+                "rightClick": "右键点击",
+                "letter": "字母",
+                "swipe": "滑动"
+            },
+            "entries": {
+                "focusSearch": "聚焦搜索框",
+                "closeModal": "关闭弹窗 / 面板",
+                "openShortcuts": "打开本快捷键面板",
+                "refresh": "刷新模型列表",
+                "fetchMetadata": "从 CivitAI 获取元数据（仅模型页面）",
+                "downloadModel": "下载模型（仅模型页面）",
+                "toggleBulkMode": "切换批量模式",
+                "selectAll": "全选所有可见模型",
+                "rangeSelect": "范围选择",
+                "marqueeSelect": "框选卡片（在网格空白区域）",
+                "exitBulkMode": "退出批量模式",
+                "bulkActions": "在已选中的卡片上：批量操作菜单",
+                "globalActions": "在页面空白区域：全局操作菜单（检查更新、管理已排除的模型）",
+                "scrollPages": "滚动页面",
+                "jumpAlphabet": "字母索引栏跳转",
+                "prevNext": "上一个 / 下一个模型",
+                "deleteEntry": "删除",
+                "cycleMedia": "切换媒体（在示例展示中按 [ / ]）",
+                "swipeTouch": "在触屏设备上切换媒体",
+                "closeViewer": "关闭查看器"
+            }
         },
         "updateVlogs": {
             "title": "最新更新",
@@ -1934,7 +2014,8 @@
             "settings": "设置与配置",
             "extensions": "扩展",
             "newBadge": "新"
-        }
+        },
+        "newContentBadge": "新"
     },
     "update": {
         "title": "检查更新",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "浏览目录失败：{message}",
             "batchImportDirectorySelected": "已选择目录：{path}",
             "noRecipesSelected": "未选择任何配方",
-            "repairBulkComplete": "修复完成：{repaired} 个已修复，{skipped} 个已跳过（共 {total} 个）",
-            "repairBulkSkipped": "所选 {total} 个配方无需修复",
-            "repairBulkFailed": "修复所选配方失败：{message}",
             "rematchComplete": "已匹配 {entries} 个条目，涉及 {recipes} 个配方",
             "rematchCompleteErrors": "已匹配 {entries} 个条目，涉及 {recipes} 个配方，{failures} 个失败",
             "rematchAllFailed": "{failures}/{total} 个所选配方重新匹配失败",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "{total} 个所选配方均无需重新匹配",
             "rematchFailed": "重新匹配所选配方失败：{message}",
             "reimporting": "正在从源重新导入配方...",
+            "reimportingViaExtension": "正在通过浏览器扩展重新导入配方 {current}/{total}...",
             "reimportSuccess": "配方已从源重新导入成功",
             "reimportBulkComplete": "重新导入完成：{completed} 个已导入，{failed} 个失败（共 {total} 个）",
             "reimportBulkFailed": "重新导入某些配方失败",

locales/zh-TW.json

@@ -50,6 +50,27 @@
             "mb": "MB",
             "gb": "GB",
             "tb": "TB"
+        },
+        "scanProgress": {
+            "refreshing": "正在重新整理 {type}...",
+            "fullRebuilding": "正在完整重建 {type}...",
+            "actionRefresh": "重新整理",
+            "actionFullRebuild": "完整重建",
+            "actionRefreshLower": "重新整理",
+            "actionRebuildLower": "重建",
+            "stages": {
+                "scan_folders": "正在掃描資料夾...",
+                "count_models": "找到 {total} 個檔案",
+                "process_models": "正在處理模型",
+                "reconcile_scan": "正在檢查變更...",
+                "process_new": "正在處理新模型",
+                "finalizing": "正在收尾..."
+            },
+            "eta": {
+                "lessThanMinute": "剩餘時間不到一分鐘",
+                "minutes": "剩餘約 {minutes} 分鐘",
+                "hours": "剩餘約 {hours} 小時 {minutes} 分鐘"
+            }
         }
     },
     "onboarding": {
@@ -75,7 +96,7 @@
             },
             "bulk": {
                 "title": "批次操作",
-                "content": "點擊此按鈕或按下 <span class=\"onboarding-shortcut\">B</span> 進入批次模式。可選取多個模型並執行批量操作。使用 <span class=\"onboarding-shortcut\">Ctrl+A</span> 選取所有可見模型。"
+                "content": "點擊此按鈕或按下 <span class=\"onboarding-shortcut\">B</span> 進入批量模式，選取多個模型並執行批量操作。<br>• <span class=\"onboarding-shortcut\">Ctrl/Cmd+A</span> 選取所有可見模型，<span class=\"onboarding-shortcut\">Shift+Click</span> 選取一段範圍。<br>• <span class=\"onboarding-shortcut\">Esc</span> 或點擊空白處離開批量模式。"
             },
             "searchOptions": {
                 "title": "搜尋選項",
@@ -95,7 +116,19 @@
             },
             "contextMenu": {
                 "title": "右鍵選單",
-                "content": "<strong>右鍵點擊</strong>任一模型卡片可開啟更多操作選單。"
+                "content": "<strong>右鍵點擊</strong>任一模型卡片，可開啟包含移動、刪除或編輯中繼資料等卡片操作的右鍵選單。"
+            },
+            "marqueeSelect": {
+                "title": "拖曳框選",
+                "content": "在網格空白處按住<strong>滑鼠左鍵</strong>並拖曳，畫出框選範圍，一次選取多張卡片。"
+            },
+            "dragToSidebar": {
+                "title": "拖曳整理",
+                "content": "將模型卡片拖曳到側邊欄的資料夾上，即可將檔案移動到該處。在批量模式下選取多張卡片也可一起拖曳。"
+            },
+            "contextMenus": {
+                "title": "更多右鍵選單",
+                "content": "在批量模式下，<strong>右鍵點擊已選取的卡片</strong>可開啟批量操作選單。<strong>右鍵點擊頁面空白處</strong>可開啟全域操作選單，例如檢查更新與管理已排除的模型。"
             }
         }
     },
@@ -179,13 +212,6 @@
             "none": "所有 {typePlural} 已具備授權中繼資料",
             "error": "重新整理 {typePlural} 授權中繼資料失敗：{message}"
         },
-        "repairRecipes": {
-            "label": "修復配方資料",
-            "loading": "正在修復配方資料...",
-            "success": "成功修復 {count} 個配方。",
-            "cancelled": "修復已取消。已修復 {count} 個配方。",
-            "error": "配方修復失敗：{message}"
-        },
         "rematchRecipes": {
             "label": "將配方重新匹配到本地模型",
             "loading": "正在將配方重新匹配到本地模型...",
@@ -451,6 +477,8 @@
         "layoutSettings": {
             "groupByModel": "按模型分組",
             "groupByModelHelp": "啟用後，每個 CivitAI 模型僅顯示最新版本的單張卡片，舊版本將被隱藏。",
+            "stickyControls": "保持操作列可見",
+            "stickyControlsHelp": "啟用後，操作列（重新整理、下載等）會在捲動時與麵包屑導覽一起固定在頁面頂端。",
             "displayDensity": "顯示密度",
             "displayDensityOptions": {
                 "default": "預設",
@@ -786,7 +814,6 @@
             "setContentRating": "為全部設定內容分級",
             "copyAll": "複製全部語法",
             "refreshAll": "刷新全部 metadata",
-            "repairMetadata": "修復所選中元數據",
             "rematchMetadata": "將所選中重新匹配到本地模型",
             "reimportMetadata": "從來源重新匯入",
             "checkUpdates": "檢查所選更新",
@@ -842,7 +869,6 @@
             "replacePreview": "更換預覽圖",
             "setContentRating": "設定內容分級",
             "moveToFolder": "移動到資料夾",
-            "repairMetadata": "修復元數據",
             "rematchMetadata": "重新匹配到本地模型",
             "reimportMetadata": "從來源重新匯入",
             "excludeModel": "排除模型",
@@ -868,6 +894,21 @@
             "previousWithShortcut": "上一個配方（←）",
             "nextWithShortcut": "下一個配方（→）"
         },
+        "modal": {
+            "metadata": {
+                "id": "ID"
+            },
+            "actions": {
+                "openFileLocation": "開啟檔案位置",
+                "copyId": "複製配方 ID"
+            },
+            "openFileLocation": {
+                "success": "檔案位置已成功開啟",
+                "failed": "開啟檔案位置失敗",
+                "copied": "路徑已複製到剪貼簿：{{path}}",
+                "clipboardFallback": "路徑：{{path}}"
+            }
+        },
         "workflow": {
             "sendWorkflow": "傳送工作流到 ComfyUI",
             "sent": "工作流已傳送到 ComfyUI",
@@ -1080,13 +1121,6 @@
                 "getInfoFailed": "取得缺少 LoRA 資訊失敗",
                 "prepareError": "準備下載 LoRA 時發生錯誤：{message}"
             },
-            "repair": {
-                "starting": "正在修復配方元數據...",
-                "success": "配方元數據修復成功",
-                "skipped": "配方已是最新版本，無需修復",
-                "failed": "修復配方失敗：{message}",
-                "missingId": "無法修復配方：缺少配方 ID"
-            },
             "reimport": {
                 "starting": "正在從來源重新匯入配方...",
                 "success": "配方已從來源重新匯入成功",
@@ -1578,7 +1612,11 @@
                 "clipSkip": "Clip Skip",
                 "valuePlaceholder": "數值",
                 "add": "新增",
-                "invalidRange": "無效的範圍格式。請使用 x.x-y.y"
+                "invalidRange": "無效的範圍格式。請使用 x.x-y.y",
+                "invalidValue": "請輸入有效的數值",
+                "saveFailed": "儲存預設參數失敗",
+                "added": "已新增預設參數",
+                "updated": "已更新預設參數"
             },
             "triggerWords": {
                 "label": "觸發詞",
@@ -1589,7 +1627,7 @@
                 "addPlaceholder": "輸入或點擊下方建議",
                 "editWord": "編輯觸發詞",
                 "editPlaceholder": "編輯觸發詞",
-                "copyWord": "複製觸發詞",
+                "copyOrEditWord": "點擊複製，雙擊編輯",
                 "deleteWord": "刪除觸發詞",
                 "suggestions": {
                     "noSuggestions": "無可用建議",
@@ -1649,8 +1687,8 @@
                 "showCount": "顯示範例（{count}）",
                 "hideExamples": "隱藏範例",
                 "addExamples": "新增範例",
-                "previousExample": "上一個範例",
-                "nextExample": "下一個範例",
+                "previousExample": "上一個範例（[）",
+                "nextExample": "下一個範例（]）",
                 "noExamples": "沒有可用的範例圖片",
                 "addMoreExamples": "新增更多範例",
                 "dragDrop": "拖放圖片或影片到此處",
@@ -1914,10 +1952,52 @@
         "tabs": {
             "gettingStarted": "快速開始",
             "updateVlogs": "更新影片",
-            "documentation": "文件"
+            "documentation": "文件",
+            "shortcuts": "快捷鍵"
         },
         "gettingStarted": {
-            "title": "LoRA 管理器快速開始"
+            "title": "LoRA 管理器快速開始",
+            "replayTutorial": "重新播放教學"
+        },
+        "shortcuts": {
+            "title": "鍵盤與滑鼠快捷鍵",
+            "groups": {
+                "general": "一般",
+                "actions": "操作",
+                "selection": "選取與批量模式",
+                "navigation": "導覽",
+                "modelModal": "模型 / 配方彈窗",
+                "mediaViewer": "媒體檢視器 / 範例展示"
+            },
+            "keys": {
+                "click": "點擊",
+                "drag": "拖曳",
+                "rightClick": "右鍵點擊",
+                "letter": "字母鍵",
+                "swipe": "滑動"
+            },
+            "entries": {
+                "focusSearch": "聚焦搜尋欄",
+                "closeModal": "關閉彈窗 / 面板",
+                "openShortcuts": "開啟此快捷鍵面板",
+                "refresh": "重新整理模型列表",
+                "fetchMetadata": "從 CivitAI 擷取中繼資料（僅限模型頁面）",
+                "downloadModel": "下載模型（僅限模型頁面）",
+                "toggleBulkMode": "切換批量模式",
+                "selectAll": "選取所有可見模型",
+                "rangeSelect": "範圍選取",
+                "marqueeSelect": "框選卡片（在網格空白處拖曳）",
+                "exitBulkMode": "離開批量模式",
+                "bulkActions": "在已選取的卡片上：批量操作選單",
+                "globalActions": "在頁面空白處：全域操作選單（檢查更新、管理已排除的模型）",
+                "scrollPages": "捲動頁面",
+                "jumpAlphabet": "字母列跳轉",
+                "prevNext": "上一個 / 下一個模型",
+                "deleteEntry": "刪除",
+                "cycleMedia": "切換媒體（範例展示中的 [ / ]）",
+                "swipeTouch": "在觸控裝置上滑動切換媒體",
+                "closeViewer": "關閉檢視器"
+            }
         },
         "updateVlogs": {
             "title": "最新更新",
@@ -1934,7 +2014,8 @@
             "settings": "設定與配置",
             "extensions": "擴充功能",
             "newBadge": "新"
-        }
+        },
+        "newContentBadge": "新"
     },
     "update": {
         "title": "檢查更新",
@@ -2141,9 +2222,6 @@
             "batchImportBrowseFailed": "瀏覽目錄失敗：{message}",
             "batchImportDirectorySelected": "已選擇目錄：{path}",
             "noRecipesSelected": "未選取任何配方",
-            "repairBulkComplete": "修復完成：{repaired} 個已修復，{skipped} 個已跳過（共 {total} 個）",
-            "repairBulkSkipped": "所選 {total} 個配方無需修復",
-            "repairBulkFailed": "修復所選配方失敗：{message}",
             "rematchComplete": "已匹配 {entries} 個條目，涉及 {recipes} 個配方",
             "rematchCompleteErrors": "已匹配 {entries} 個條目，涉及 {recipes} 個配方，{failures} 個失敗",
             "rematchAllFailed": "{failures}/{total} 個所選配方重新匹配失敗",
@@ -2151,6 +2229,7 @@
             "rematchSkipped": "{total} 個所選配方均無需重新匹配",
             "rematchFailed": "重新匹配所選配方失敗：{message}",
             "reimporting": "正在從來源重新匯入配方...",
+            "reimportingViaExtension": "正在透過瀏覽器擴充功能重新匯入配方 {current}/{total}...",
             "reimportSuccess": "配方已從來源重新匯入成功",
             "reimportBulkComplete": "重新匯入完成：{completed} 個已匯入，{failed} 個失敗（共 {total} 個）",
             "reimportBulkFailed": "重新匯入某些配方失敗",

py/recipes/parsers/automatic.py

@@ -8,6 +8,7 @@ from typing import Dict, Any
 from ..base import RecipeMetadataParser
 from ..constants import GEN_PARAM_KEYS
 from ...services.metadata_service import get_default_metadata_provider
+from ...utils.constants import is_empty_placeholder_hash
 
 logger = logging.getLogger(__name__)
 
@@ -524,6 +525,26 @@ class AutomaticMetadataParser(RecipeMetadataParser):
                 weight = prompt_entries[0][1] if len(prompt_entries) == 1 else 1.0
                 lora_entry = make_lora_entry(lora_type, lora_name, weight, lora_hash)
 
+                if is_empty_placeholder_hash(lora_hash):
+                    # The empty-hash placeholder (SHA256 of an empty byte
+                    # string) is not a real hash: never look it up in the
+                    # local hash index or on CivitAI. Match by filename;
+                    # otherwise keep the item as unresolved (no hash, flagged
+                    # hashInvalid so the UI shows the unresolvable-hash state
+                    # and offers reconnect instead of download) rather than
+                    # dropping it.
+                    if recipe_scanner and lora_type == 'lora' and basename_key not in queried_local_basenames:
+                        local_lora = await recipe_scanner.get_local_lora(lora_name, recipe_base_model)
+                        if local_lora:
+                            local_entry = self.populate_lora_from_local(lora_entry, local_lora)
+                            merge_or_append_local(local_entry)
+                            continue
+                    lora_entry['hash'] = ''
+                    lora_entry['hashInvalid'] = True
+                    if not resource_lora_count:
+                        loras.append(lora_entry)
+                    continue
+
                 if lora_hash and recipe_scanner and lora_type == 'lora':
                     local_lora = await recipe_scanner.get_local_lora_by_hash(lora_hash)
                     if local_lora:

py/recipes/parsers/recipe_format.py

@@ -196,7 +196,7 @@ class RecipeFormatParser(RecipeMetadataParser):
                         filtered_gen_params[key] = value
             
             return {
-                'base_model': checkpoint['baseModel'] if checkpoint and checkpoint.get('baseModel') else recipe_metadata.get('base_model', ''),
+                'base_model': checkpoint['baseModel'] if checkpoint and checkpoint.get('baseModel') else (recipe_metadata.get('base_model') or None),
                 'loras': loras,
                 'gen_params': filtered_gen_params,
                 'tags': recipe_metadata.get('tags', []),
@@ -208,3 +208,24 @@ class RecipeFormatParser(RecipeMetadataParser):
         except Exception as e:
             logger.error(f"Error parsing recipe format metadata: {e}", exc_info=True)
             return {"error": str(e), "loras": []}
+
+
+def strip_recipe_metadata(metadata_text: str) -> str:
+    """Strip the ``Recipe metadata: {...}`` block appended by LoRA Manager.
+
+    The saved recipe image carries the original generation metadata followed
+    by an appended recipe JSON block (see ``ExifUtils.append_recipe_metadata``).
+    Re-import wants to re-parse the original embedded metadata, so this returns
+    only the text before the appended marker. The input is returned unchanged
+    when no marker is present.
+    """
+    if not metadata_text:
+        return metadata_text
+    match = re.search(
+        RecipeFormatParser.METADATA_MARKER,
+        metadata_text,
+        re.IGNORECASE | re.DOTALL,
+    )
+    if not match:
+        return metadata_text
+    return metadata_text[: match.start()].strip()

py/routes/handlers/model_handlers.py

@@ -15,6 +15,10 @@ from aiohttp import web
 import jinja2
 
 from ...config import config
+from ...services.active_filters_store import (
+    ActiveFiltersStore,
+    active_filters_to_query_kwargs,
+)
 from ...services.download_coordinator import DownloadCoordinator
 from ...services.connectivity_guard import (
     OFFLINE_FRIENDLY_MESSAGE,
@@ -1595,12 +1599,50 @@ class ModelQueryHandler:
                     allow_selling_generated_content.lower() not in ("false", "0", "")
                 )
 
+            # When requested, merge the manager page's active filters stored
+            # server-side. Explicit query parameters take precedence over the
+            # stored values.
+            use_active_filters = (
+                request.query.get("use_active_filters", "").lower() in ("1", "true")
+            )
+            if use_active_filters:
+                stored = ActiveFiltersStore.get_instance().get_filters(
+                    self._service.model_type
+                )
+                injected = active_filters_to_query_kwargs(stored)
+                if folder is None and "folder" in injected:
+                    folder = injected["folder"]
+                if "recursive" not in request.query and "recursive" in injected:
+                    recursive = injected["recursive"]
+                if not base_models and injected.get("base_models"):
+                    base_models = injected["base_models"]
+                if not model_types and injected.get("model_types"):
+                    model_types = injected["model_types"]
+                if not tag_filters and injected.get("tags"):
+                    tag_filters = injected["tags"]
+                if not auto_tag_filters and injected.get("auto_tags"):
+                    auto_tag_filters = injected["auto_tags"]
+                if "tag_logic" not in request.query and injected.get("tag_logic"):
+                    injected_logic = str(injected["tag_logic"]).lower()
+                    if injected_logic in ("any", "all"):
+                        tag_logic = injected_logic
+                if credit_required is None and "credit_required" in injected:
+                    credit_required = injected["credit_required"]
+                if (
+                    allow_selling_generated_content is None
+                    and "allow_selling_generated_content" in injected
+                ):
+                    allow_selling_generated_content = injected[
+                        "allow_selling_generated_content"
+                    ]
+
             # The presence of the recursive param (always sent by the loras
             # widget when filter mode is on) signals that the filter pipeline
             # must run even when no concrete filter is set, so global settings
             # like show_only_sfw stay consistent with the list endpoint.
             apply_filters = (
-                "recursive" in request.query
+                use_active_filters
+                or "recursive" in request.query
                 or folder is not None
                 or bool(base_models)
                 or bool(model_types)
@@ -1634,6 +1676,50 @@ class ModelQueryHandler:
             )
             return web.json_response({"success": False, "error": str(exc)}, status=500)
 
+    async def update_active_filters(self, request: web.Request) -> web.Response:
+        """Store the manager page's active filters for this model type."""
+        try:
+            payload = await request.json()
+        except Exception:
+            return web.json_response(
+                {"success": False, "error": "Invalid JSON body"}, status=400
+            )
+
+        if not isinstance(payload, dict):
+            return web.json_response(
+                {"success": False, "error": "Body must be a JSON object"}, status=400
+            )
+
+        try:
+            ActiveFiltersStore.get_instance().set_filters(
+                self._service.model_type, payload
+            )
+            return web.json_response({"success": True})
+        except Exception as exc:
+            self._logger.error(
+                "Error updating active filters for %s: %s",
+                self._service.model_type,
+                exc,
+                exc_info=True,
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def get_active_filters(self, request: web.Request) -> web.Response:
+        """Return the stored active filters for this model type."""
+        try:
+            filters = ActiveFiltersStore.get_instance().get_filters(
+                self._service.model_type
+            )
+            return web.json_response({"success": True, "filters": filters})
+        except Exception as exc:
+            self._logger.error(
+                "Error getting active filters for %s: %s",
+                self._service.model_type,
+                exc,
+                exc_info=True,
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
 
 class ModelDownloadHandler:
     """Coordinate downloads and progress reporting."""
@@ -3339,6 +3425,8 @@ class ModelHandlerSet:
             "get_model_metadata": self.query.get_model_metadata,
             "get_model_description": self.query.get_model_description,
             "get_relative_paths": self.query.get_relative_paths,
+            "update_active_filters": self.query.update_active_filters,
+            "get_active_filters": self.query.get_active_filters,
             "refresh_model_updates": self.updates.refresh_model_updates,
             "fetch_missing_civitai_license_data": self.updates.fetch_missing_civitai_license_data,
             "set_model_update_ignore": self.updates.set_model_update_ignore,

py/routes/handlers/recipe_handlers.py

@@ -26,6 +26,7 @@ from ...services.recipes import (
     RecipeValidationError,
 )
 from ...services.metadata_service import get_default_metadata_provider
+from ...services.recipe_scanner import UNKNOWN_BASE_MODEL_FILTER
 from ...utils.civitai_utils import (
     build_civitai_image_page_url,
     extract_civitai_image_id,
@@ -128,11 +129,6 @@ class RecipeHandlerSet:
             "get_recipes_for_checkpoint": self.query.get_recipes_for_checkpoint,
             "scan_recipes": self.query.scan_recipes,
             "move_recipe": self.management.move_recipe,
-            "repair_recipes": self.management.repair_recipes,
-            "cancel_repair": self.management.cancel_repair,
-            "repair_recipe": self.management.repair_recipe,
-            "repair_recipes_bulk": self.management.repair_recipes_bulk,
-            "get_repair_progress": self.management.get_repair_progress,
             "rematch_recipes": self.management.rematch_recipes,
             "cancel_rematch": self.management.cancel_rematch,
             "rematch_recipe": self.management.rematch_recipe,
@@ -352,6 +348,17 @@ class RecipeListingHandler:
 
             if not recipe:
                 return web.json_response({"error": "Recipe not found"}, status=404)
+
+            # Expose the on-disk recipe JSON path so the modal can offer
+            # "open file location" without guessing the storage layout.
+            recipe = dict(recipe)
+            try:
+                json_path = await recipe_scanner.get_recipe_json_path(recipe_id)
+            except Exception:  # pragma: no cover - details must still load
+                json_path = None
+            if json_path:
+                recipe["recipe_json_path"] = json_path
+
             return web.json_response(recipe)
         except Exception as exc:
             self._logger.error(
@@ -473,17 +480,32 @@ class RecipeQueryHandler:
             cache = await recipe_scanner.get_cached_data()
 
             base_model_counts: Dict[str, int] = {}
+            unknown_count = 0
             for recipe in getattr(cache, "raw_data", []):
                 base_model = recipe.get("base_model")
                 if base_model:
                     base_model_counts[base_model] = (
                         base_model_counts.get(base_model, 0) + 1
                     )
+                else:
+                    unknown_count += 1
 
             sorted_models = [
                 {"name": model, "count": count}
                 for model, count in base_model_counts.items()
             ]
+            if unknown_count:
+                # Synthetic "Unknown" bucket for recipes whose base model could
+                # not be determined. `value` carries the filter marker so the
+                # UI can display "Unknown" without colliding with real base
+                # model strings.
+                sorted_models.append(
+                    {
+                        "name": "Unknown",
+                        "value": UNKNOWN_BASE_MODEL_FILTER,
+                        "count": unknown_count,
+                    }
+                )
             sorted_models.sort(key=lambda entry: entry["count"], reverse=True)
             if limit > 0:
                 sorted_models = sorted_models[:limit]
@@ -769,157 +791,6 @@ class RecipeManagementHandler:
             self._logger.error("Error saving recipe: %s", exc, exc_info=True)
             return web.json_response({"error": str(exc)}, status=500)
 
-    async def repair_recipes(self, request: web.Request) -> web.Response:
-        try:
-            await self._ensure_dependencies_ready()
-            recipe_scanner = self._recipe_scanner_getter()
-            if recipe_scanner is None:
-                return web.json_response(
-                    {"success": False, "error": "Recipe scanner unavailable"},
-                    status=503,
-                )
-
-            # Check if already running
-            if self._ws_manager.is_recipe_repair_running():
-                return web.json_response(
-                    {"success": False, "error": "Recipe repair already in progress"},
-                    status=409,
-                )
-
-            recipe_scanner.reset_cancellation()
-
-            async def progress_callback(data):
-                await self._ws_manager.broadcast_recipe_repair_progress(data)
-
-            # Run in background to avoid timeout
-            async def run_repair():
-                try:
-                    await recipe_scanner.repair_all_recipes(
-                        progress_callback=progress_callback
-                    )
-                except Exception as e:
-                    self._logger.error(
-                        f"Error in recipe repair task: {e}", exc_info=True
-                    )
-                    await self._ws_manager.broadcast_recipe_repair_progress(
-                        {"status": "error", "error": str(e)}
-                    )
-                finally:
-                    # Keep the final status for a while so the UI can see it
-                    await asyncio.sleep(5)
-                    # Don't cleanup if it was cancelled, let the UI see the cancelled state for a bit?
-                    # Actually cleanup_recipe_repair_progress is fine as long as we waited enough.
-                    self._ws_manager.cleanup_recipe_repair_progress()
-
-            asyncio.create_task(run_repair())
-
-            return web.json_response(
-                {"success": True, "message": "Recipe repair started"}
-            )
-        except Exception as exc:
-            self._logger.error("Error starting recipe repair: %s", exc, exc_info=True)
-            return web.json_response({"success": False, "error": str(exc)}, status=500)
-
-    async def cancel_repair(self, request: web.Request) -> web.Response:
-        try:
-            await self._ensure_dependencies_ready()
-            recipe_scanner = self._recipe_scanner_getter()
-            if recipe_scanner is None:
-                return web.json_response(
-                    {"success": False, "error": "Recipe scanner unavailable"},
-                    status=503,
-                )
-
-            recipe_scanner.cancel_task()
-            return web.json_response(
-                {"success": True, "message": "Cancellation requested"}
-            )
-        except Exception as exc:
-            self._logger.error("Error cancelling recipe repair: %s", exc, exc_info=True)
-            return web.json_response({"success": False, "error": str(exc)}, status=500)
-
-    async def repair_recipes_bulk(self, request: web.Request) -> web.Response:
-        """Bulk repair metadata for multiple recipes by their IDs.
-
-        Accepts a JSON body with a "recipe_ids" array and iterates
-        repair_recipe_by_id over each entry, collecting statistics.
-        """
-        try:
-            await self._ensure_dependencies_ready()
-            recipe_scanner = self._recipe_scanner_getter()
-            if recipe_scanner is None:
-                return web.json_response(
-                    {"success": False, "error": "Recipe scanner unavailable"},
-                    status=503,
-                )
-
-            data = await request.json()
-            recipe_ids = data.get("recipe_ids", [])
-            if not recipe_ids:
-                return web.json_response(
-                    {"success": False, "error": "recipe_ids are required"},
-                    status=400,
-                )
-
-            total = len(recipe_ids)
-            repaired = 0
-            skipped = 0
-            errors = 0
-            recipes = []
-
-            for recipe_id in recipe_ids:
-                try:
-                    result = await recipe_scanner.repair_recipe_by_id(recipe_id)
-                    if result.get("success"):
-                        repaired += result.get("repaired", 0)
-                        skipped += result.get("skipped", 0)
-                        if result.get("recipe"):
-                            recipes.append(result["recipe"])
-                    else:
-                        errors += 1
-                except RecipeNotFoundError:
-                    skipped += 1
-                except Exception as exc:
-                    self._logger.error(
-                        "Error repairing recipe %s: %s", recipe_id, exc
-                    )
-                    errors += 1
-
-            return web.json_response({
-                "success": True,
-                "total": total,
-                "repaired": repaired,
-                "skipped": skipped,
-                "errors": errors,
-                "recipes": recipes,
-            })
-        except Exception as exc:
-            self._logger.error(
-                "Error performing bulk repair: %s", exc, exc_info=True
-            )
-            return web.json_response(
-                {"success": False, "error": str(exc)}, status=500
-            )
-
-    async def repair_recipe(self, request: web.Request) -> web.Response:
-        try:
-            await self._ensure_dependencies_ready()
-            recipe_scanner = self._recipe_scanner_getter()
-            if recipe_scanner is None:
-                return web.json_response(
-                    {"success": False, "error": "Recipe scanner unavailable"},
-                    status=503,
-                )
-
-            recipe_id = request.match_info["recipe_id"]
-            result = await recipe_scanner.repair_recipe_by_id(recipe_id)
-            return web.json_response(result)
-        except RecipeNotFoundError as exc:
-            return web.json_response({"success": False, "error": str(exc)}, status=404)
-        except Exception as exc:
-            self._logger.error("Error repairing single recipe: %s", exc, exc_info=True)
-            return web.json_response({"success": False, "error": str(exc)}, status=500)
-
     async def rematch_recipes(self, request: web.Request) -> web.Response:
         try:
             await self._ensure_dependencies_ready()
@@ -931,12 +802,9 @@ class RecipeManagementHandler:
                 )
 
             # Mutual exclusion: a global rematch cannot start while a rematch
-            # OR a repair is already running — both mutate recipes under the
-            # same mutation lock.
-            if (
-                self._ws_manager.is_recipe_rematch_running()
-                or self._ws_manager.is_recipe_repair_running()
-            ):
+            # is already running — both mutate recipes under the same
+            # mutation lock.
+            if self._ws_manager.is_recipe_rematch_running():
                 return web.json_response(
                     {"success": False, "error": "Recipe rematch already in progress"},
                     status=409,
@@ -1074,12 +942,14 @@ class RecipeManagementHandler:
             return web.json_response({"success": False, "error": str(exc)}, status=500)
 
     async def reimport_recipe(self, request: web.Request) -> web.Response:
-        """Delete a recipe and re-import it from its source URL.
+        """Delete a recipe and re-import it from its source.
 
-        This gives the recipe a fresh start — re-downloads the image from
-        CivitAI, re-parses EXIF metadata with the current parser, and
-        re-resolves LoRAs / checkpoint. User edits (title, tags, favorite)
-        are carried over from the old recipe.
+        Gives the recipe a fresh start: URL-sourced recipes re-download the
+        image from CivitAI; local ones re-parse the saved recipe image. Both
+        use the original embedded generation metadata (the appended recipe
+        metadata block is ignored) with the current parser, and re-resolve
+        LoRAs / checkpoint. User edits (title, tags, favorite) are carried
+        over from the old recipe.
         """
         try:
             await self._ensure_dependencies_ready()
@@ -1092,13 +962,40 @@ class RecipeManagementHandler:
             if not old_recipe:
                 raise RecipeNotFoundError(f"Recipe {recipe_id} not found")
 
-            source_path = old_recipe.get("source_path")
-            if not source_path:
+            old_file_path = old_recipe.get("file_path", "")
+            old_folder = os.path.dirname(old_file_path) if old_file_path else None
+
+            source_path = old_recipe.get("source_path") or ""
+            image_id = extract_civitai_image_id(source_path) if source_path else None
+
+            # Local re-import sources: an explicit local source_path, or — when
+            # no usable source_path was recorded (drag & drop / file-picker
+            # imports, or a dangling path left by an earlier re-import) — the
+            # recipe's own saved image, which still carries the original
+            # embedded generation metadata next to the recipe metadata block.
+            # In the fallback case nothing is persisted as source_path: the
+            # recipe's own previous preview is not an external source, and it
+            # is deleted together with the old recipe below.
+            local_source = None
+            persisted_source_path = ""
+            if not image_id and source_path and os.path.isfile(source_path):
+                local_source = source_path
+                persisted_source_path = source_path
+            elif (
+                not image_id
+                and not source_path.startswith(("http://", "https://"))
+                and old_file_path
+                and os.path.isfile(old_file_path)
+            ):
+                local_source = old_file_path
+
+            if not image_id and not local_source:
                 return web.json_response(
                     {
                         "success": False,
                         "error": (
-                            "Recipe has no source URL — cannot re-import. "
+                            "Recipe has no re-importable source (no source URL "
+                            "and no accessible local image). "
                             "Use repair or manual import instead."
                         ),
                     },
@@ -1112,41 +1009,66 @@ class RecipeManagementHandler:
             if "tags" in user_edits and not isinstance(user_edits["tags"], list):
                 del user_edits["tags"]
 
-            old_file_path = old_recipe.get("file_path", "")
-            old_folder = os.path.dirname(old_file_path) if old_file_path else None
-
-            image_id = extract_civitai_image_id(source_path)
-            is_local_file = not image_id and os.path.isfile(source_path)
-
-            if not image_id and not is_local_file:
-                return web.json_response(
-                    {
-                        "success": False,
-                        "error": (
-                            "Recipe source is neither a valid CivitAI image URL "
-                            "nor an accessible local file. "
-                            "Use repair or manual import instead."
-                        ),
-                    },
-                    status=400,
-                )
-
-            if is_local_file:
+            if local_source:
                 return await self._do_reimport_from_local(
-                    source_path,
+                    local_source,
                     recipe_scanner,
                     recipe_id=recipe_id,
                     target_dir=old_folder,
                     user_edits=user_edits,
                     old_title=old_recipe.get("title", ""),
+                    persisted_source_path=persisted_source_path,
                 )
 
-            async with self._import_semaphore:
-                import_response = await self._do_import_from_url(
-                    source_path,
-                    recipe_scanner,
-                    target_dir=old_folder,
-                )
+            # Optional caller-supplied metadata payload (companion browser
+            # extension re-import). Only honored for CivitAI image page
+            # sources; everything else uses the native URL import below.
+            params = request.rel_url.query
+            payload_image_url = params.get("image_url")
+            payload_name = params.get("name")
+            payload_resources = params.get("resources")
+            has_import_payload = bool(
+                payload_image_url and payload_name and payload_resources
+            )
+
+            import_response: web.Response | None = None
+            if has_import_payload and image_id:
+                try:
+                    async with self._import_semaphore:
+                        import_response = await self._import_remote_recipe_impl(
+                            image_url=payload_image_url,
+                            name=payload_name,
+                            resources_raw=payload_resources,
+                            gen_params_raw=params.get("gen_params"),
+                            tags_raw=params.get("tags"),
+                            base_model=params.get("base_model", "") or "",
+                            source_path=source_path,
+                            target_dir=old_folder,
+                        )
+                except RecipeValidationError as exc:
+                    # Malformed resources/gen_params JSON: treat as "no
+                    # payload" and use the legacy URL re-import.
+                    self._logger.warning(
+                        "Ignoring malformed re-import payload for recipe %s "
+                        "(%s); falling back to source URL re-import",
+                        recipe_id,
+                        exc,
+                    )
+                except Exception as exc:
+                    self._logger.warning(
+                        "Payload-based re-import failed for recipe %s: %s; "
+                        "falling back to source URL re-import",
+                        recipe_id,
+                        exc,
+                    )
+
+            if import_response is None:
+                async with self._import_semaphore:
+                    import_response = await self._do_import_from_url(
+                        source_path,
+                        recipe_scanner,
+                        target_dir=old_folder,
+                    )
 
             await self._persistence_service.delete_recipe(
                 recipe_scanner=recipe_scanner, recipe_id=recipe_id
@@ -1173,14 +1095,19 @@ class RecipeManagementHandler:
                         exc,
                     )
 
-            return web.json_response(
-                {
-                    "success": True,
-                    "old_recipe_id": recipe_id,
-                    "recipe_id": new_recipe_id,
-                    "source_path": source_path,
-                }
+            response_body: Dict[str, Any] = {
+                "success": True,
+                "old_recipe_id": recipe_id,
+                "recipe_id": new_recipe_id,
+                "source_path": source_path,
+            }
+            loras_count = await self._count_recipe_loras(
+                recipe_scanner, new_recipe_id
             )
+            if loras_count is not None:
+                response_body["loras_count"] = loras_count
+
+            return web.json_response(response_body)
         except RecipeNotFoundError as exc:
             return web.json_response({"success": False, "error": str(exc)}, status=404)
         except RecipeValidationError as exc:
@@ -1193,18 +1120,6 @@ class RecipeManagementHandler:
             )
             return web.json_response({"success": False, "error": str(exc)}, status=500)
 
-    async def get_repair_progress(self, request: web.Request) -> web.Response:
-        try:
-            progress = self._ws_manager.get_recipe_repair_progress()
-            if progress:
-                return web.json_response({"success": True, "progress": progress})
-            return web.json_response(
-                {"success": False, "message": "No repair in progress"}, status=404
-            )
-        except Exception as exc:
-            self._logger.error("Error getting repair progress: %s", exc, exc_info=True)
-            return web.json_response({"success": False, "error": str(exc)}, status=500)
-
     async def import_remote_recipe(self, request: web.Request) -> web.Response:
         try:
             await self._ensure_dependencies_ready()
@@ -1225,31 +1140,14 @@ class RecipeManagementHandler:
             if not resources_raw:
                 raise RecipeValidationError("Missing required field: resources")
 
-            checkpoint_entry, lora_entries = self._parse_resources_payload(
-                resources_raw
-            )
-            gen_params_request = self._parse_gen_params(params.get("gen_params"))
-
-            self._logger.info(
-                "Remote recipe import received: url=%s, lora_count=%d",
-                image_url,
-                len(lora_entries),
-            )
-            self._logger.debug(
-                "  gen_params_keys=%s, checkpoint_keys=%s",
-                sorted(gen_params_request.keys()) if gen_params_request else [],
-                sorted(checkpoint_entry.keys()) if isinstance(checkpoint_entry, dict) else [],
-            )
-
             # Throttle concurrent imports to avoid starving ComfyUI's event loop
             async with self._import_semaphore:
-                return await self._do_import_remote_recipe(
+                return await self._import_remote_recipe_impl(
                     image_url=image_url,
                     name=name,
-                    lora_entries=lora_entries,
-                    checkpoint_entry=checkpoint_entry,
-                    gen_params_request=gen_params_request,
-                    tags=self._parse_tags(params.get("tags")),
+                    resources_raw=resources_raw,
+                    gen_params_raw=params.get("gen_params"),
+                    tags_raw=params.get("tags"),
                     base_model=params.get("base_model", "") or "",
                     source_path=params.get("source_path") or image_url,
                 )
@@ -1263,6 +1161,52 @@ class RecipeManagementHandler:
             )
             return web.json_response({"error": str(exc)}, status=500)
 
+    async def _import_remote_recipe_impl(
+        self,
+        *,
+        image_url: str,
+        name: str,
+        resources_raw: str,
+        gen_params_raw: Optional[str],
+        tags_raw: Optional[str],
+        base_model: str,
+        source_path: str,
+        target_dir: str | None = None,
+    ) -> web.Response:
+        """Payload-based remote import engine shared by import-remote and the
+        extension-driven re-import path.
+
+        Parses the caller-supplied payloads and delegates to
+        :meth:`_do_import_remote_recipe`. Raises ``RecipeValidationError`` on
+        malformed payloads so callers can decide how to handle them (the
+        re-import path falls back to the legacy URL import).
+        """
+        checkpoint_entry, lora_entries = self._parse_resources_payload(resources_raw)
+        gen_params_request = self._parse_gen_params(gen_params_raw)
+
+        self._logger.info(
+            "Remote recipe import received: url=%s, lora_count=%d",
+            image_url,
+            len(lora_entries),
+        )
+        self._logger.debug(
+            "  gen_params_keys=%s, checkpoint_keys=%s",
+            sorted(gen_params_request.keys()) if gen_params_request else [],
+            sorted(checkpoint_entry.keys()) if isinstance(checkpoint_entry, dict) else [],
+        )
+
+        return await self._do_import_remote_recipe(
+            image_url=image_url,
+            name=name,
+            lora_entries=lora_entries,
+            checkpoint_entry=checkpoint_entry,
+            gen_params_request=gen_params_request,
+            tags=self._parse_tags(tags_raw),
+            base_model=base_model,
+            source_path=source_path,
+            target_dir=target_dir,
+        )
+
     async def _do_import_remote_recipe(
         self,
         *,
@@ -1274,6 +1218,7 @@ class RecipeManagementHandler:
         tags: list[Any],
         base_model: str,
         source_path: str,
+        target_dir: str | None = None,
     ) -> web.Response:
         recipe_scanner = self._recipe_scanner_getter()
         if recipe_scanner is None:
@@ -1437,6 +1382,7 @@ class RecipeManagementHandler:
             tags=tags,
             metadata=metadata,
             extension=extension,
+            target_dir=target_dir,
         )
         return web.json_response(result.payload, status=result.status)
 
@@ -1901,6 +1847,25 @@ class RecipeManagementHandler:
             return []
         return [tag.strip() for tag in tag_text.split(",") if tag.strip()]
 
+    async def _count_recipe_loras(
+        self, recipe_scanner: Any, recipe_id: Optional[str]
+    ) -> Optional[int]:
+        """Best-effort LoRA count for a freshly saved recipe (for the
+        re-import response). Returns None when the recipe cannot be read."""
+        if not recipe_id:
+            return None
+        try:
+            recipe = await recipe_scanner.get_recipe_by_id(recipe_id)
+        except Exception as exc:
+            self._logger.debug(
+                "Could not read new recipe %s for loras_count: %s",
+                recipe_id,
+                exc,
+            )
+            return None
+        loras = (recipe or {}).get("loras")
+        return len(loras) if isinstance(loras, list) else None
+
     def _parse_gen_params(self, payload: Optional[str]) -> Optional[Dict[str, Any]]:
         if payload is None:
             return None
@@ -2481,11 +2446,20 @@ class RecipeManagementHandler:
         target_dir: str | None,
         user_edits: dict[str, Any],
         old_title: str,
+        persisted_source_path: str,
     ) -> web.Response:
         """Re-import a recipe from a local image file.
 
-        Reads the original source file, re-parses its EXIF metadata, saves a
-        fresh recipe, then deletes the old one.
+        Reads the original source file, re-parses its original embedded
+        generation metadata (the appended recipe metadata block is ignored so
+        the current parser gets a fresh pass), saves a new recipe, then deletes
+        the old one.
+
+        ``persisted_source_path`` is the source_path recorded on the new
+        recipe: the external source file when one exists, or empty when the
+        re-import fell back to the recipe's own previous preview image (that
+        file is deleted with the old recipe, so recording it would leave a
+        dangling path that blocks future re-imports).
         """
         normalized = os.path.normpath(file_path)
         if not os.path.isfile(normalized):
@@ -2501,6 +2475,7 @@ class RecipeManagementHandler:
         analysis_result = await self._analysis_service.analyze_local_image(
             file_path=normalized,
             recipe_scanner=recipe_scanner,
+            ignore_recipe_metadata=True,
         )
         analysis_payload: dict[str, Any] = analysis_result.payload
 
@@ -2513,7 +2488,7 @@ class RecipeManagementHandler:
             "base_model": base_model,
             "loras": loras,
             "gen_params": gen_params,
-            "source_path": normalized,
+            "source_path": persisted_source_path,
         }
         if checkpoint:
             metadata["checkpoint"] = checkpoint
@@ -2545,6 +2520,10 @@ class RecipeManagementHandler:
             metadata=metadata,
             extension=extension,
             target_dir=target_dir,
+            # The source is the recipe's own already-optimized preview image;
+            # store its bytes verbatim instead of re-compressing (which would
+            # only degrade quality) and skip the metadata re-append.
+            skip_optimize=True,
         )
 
         await self._persistence_service.delete_recipe(
@@ -2572,7 +2551,7 @@ class RecipeManagementHandler:
                 "success": True,
                 "old_recipe_id": recipe_id,
                 "recipe_id": new_recipe_id,
-                "source_path": normalized,
+                "source_path": persisted_source_path,
             }
         )
 

py/routes/model_route_registrar.py

@@ -68,6 +68,8 @@ COMMON_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
         "GET", "/api/lm/{prefix}/model-description", "get_model_description"
     ),
     RouteDefinition("GET", "/api/lm/{prefix}/relative-paths", "get_relative_paths"),
+    RouteDefinition("PUT", "/api/lm/{prefix}/active-filters", "update_active_filters"),
+    RouteDefinition("GET", "/api/lm/{prefix}/active-filters", "get_active_filters"),
     RouteDefinition(
         "GET", "/api/lm/{prefix}/civitai/versions/{model_id}", "get_civitai_versions"
     ),

py/routes/recipe_route_registrar.py

@@ -84,11 +84,6 @@ ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
         "GET", "/api/lm/recipes/for-checkpoint", "get_recipes_for_checkpoint"
     ),
     RouteDefinition("GET", "/api/lm/recipes/scan", "scan_recipes"),
-    RouteDefinition("POST", "/api/lm/recipes/repair", "repair_recipes"),
-    RouteDefinition("POST", "/api/lm/recipes/cancel-repair", "cancel_repair"),
-    RouteDefinition("POST", "/api/lm/recipe/{recipe_id}/repair", "repair_recipe"),
-    RouteDefinition("POST", "/api/lm/recipes/repair-bulk", "repair_recipes_bulk"),
-    RouteDefinition("GET", "/api/lm/recipes/repair-progress", "get_repair_progress"),
     RouteDefinition("POST", "/api/lm/recipes/rematch", "rematch_recipes"),
     RouteDefinition("POST", "/api/lm/recipes/rematch-bulk", "rematch_recipes_bulk"),
     RouteDefinition("POST", "/api/lm/recipe/{recipe_id}/rematch", "rematch_recipe"),
@@ -115,6 +110,11 @@ ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition(
         "POST", "/api/lm/recipe/{recipe_id}/reimport", "reimport_recipe"
     ),
+    # The companion browser extension only ever issues GET requests, so the
+    # payload-based re-import variant must also be reachable via GET.
+    RouteDefinition(
+        "GET", "/api/lm/recipe/{recipe_id}/reimport", "reimport_recipe"
+    ),
     RouteDefinition(
         "POST", "/api/lm/recipe/{recipe_id}/send-workflow", "send_recipe_workflow"
     ),

py/services/active_filters_store.py

@@ -0,0 +1,135 @@
+"""In-memory store for the LoRA Manager page's active filters.
+
+The manager page keeps its filter state in localStorage for its own
+restoration, but the ComfyUI node autocomplete runs in a potentially
+different browser/origin (or Electron shell) where that storage is not
+shared. This store mirrors the active filters server-side so the
+``/api/lm/{prefix}/relative-paths`` endpoint can inject them into
+autocomplete searches regardless of which client set them.
+
+State is process-local and intentionally not persisted; the manager page
+re-pushes its restored state on load.
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Any, Dict, Optional
+
+logger = logging.getLogger(__name__)
+
+# Keys copied from the manager page's persisted filter snapshot.
+_FILTER_KEYS = (
+    "baseModel",
+    "tags",
+    "autoTags",
+    "modelTypes",
+    "tagLogic",
+    "license",
+)
+
+
+class ActiveFiltersStore:
+    """Process-local store of active filters, keyed by model type."""
+
+    _instance: Optional["ActiveFiltersStore"] = None
+
+    def __init__(self) -> None:
+        self._filters: Dict[str, Dict[str, Any]] = {}
+
+    @classmethod
+    def get_instance(cls) -> "ActiveFiltersStore":
+        if cls._instance is None:
+            cls._instance = cls()
+        return cls._instance
+
+    @classmethod
+    def reset_instance(cls) -> None:
+        """Drop the singleton (test isolation)."""
+        cls._instance = None
+
+    def set_filters(self, model_type: str, payload: Dict[str, Any]) -> None:
+        """Replace the stored active filters for a model type.
+
+        Only recognized keys are kept; everything else is discarded.
+        """
+        filters = payload.get("filters")
+        sanitized: Dict[str, Any] = {
+            "activeFolder": payload.get("activeFolder"),
+            "recursiveSearch": bool(payload.get("recursiveSearch", True)),
+            "filters": (
+                {key: filters[key] for key in _FILTER_KEYS if key in filters}
+                if isinstance(filters, dict)
+                else None
+            ),
+        }
+        self._filters[model_type] = sanitized
+
+    def get_filters(self, model_type: str) -> Optional[Dict[str, Any]]:
+        """Return the stored payload for a model type, or None if unset."""
+        return self._filters.get(model_type)
+
+    def clear(self, model_type: str) -> None:
+        self._filters.pop(model_type, None)
+
+
+def active_filters_to_query_kwargs(payload: Optional[Dict[str, Any]]) -> Dict[str, Any]:
+    """Map a stored active-filters payload to ``search_relative_paths`` kwargs.
+
+    Mirrors the query-param mapping that the ComfyUI autocomplete used to
+    build client-side from localStorage (web/comfyui/autocomplete.js).
+    """
+    kwargs: Dict[str, Any] = {}
+    if not payload:
+        return kwargs
+
+    active_folder = payload.get("activeFolder")
+    recursive = payload.get("recursiveSearch", True)
+
+    if active_folder and active_folder != "null":
+        kwargs["folder"] = active_folder
+    elif not recursive:
+        # Root folder with recursion disabled mirrors the page list,
+        # which matches only root-level files via folder=''.
+        kwargs["folder"] = ""
+
+    filters = payload.get("filters")
+    if isinstance(filters, dict):
+        base_models = filters.get("baseModel")
+        if isinstance(base_models, list):
+            kwargs["base_models"] = [m for m in base_models if m]
+
+        for source_key, target_key in (("tags", "tags"), ("autoTags", "auto_tags")):
+            states = filters.get(source_key)
+            if isinstance(states, dict):
+                mapped = {
+                    tag: state
+                    for tag, state in states.items()
+                    if state in ("include", "exclude")
+                }
+                if mapped:
+                    kwargs[target_key] = mapped
+
+        model_types = filters.get("modelTypes")
+        if isinstance(model_types, list):
+            kwargs["model_types"] = [t for t in model_types if t]
+
+        tag_logic = filters.get("tagLogic")
+        if tag_logic:
+            kwargs["tag_logic"] = tag_logic
+
+        license_filter = filters.get("license")
+        if isinstance(license_filter, dict):
+            no_credit = license_filter.get("noCredit")
+            if no_credit == "include":
+                kwargs["credit_required"] = False
+            elif no_credit == "exclude":
+                kwargs["credit_required"] = True
+            allow_selling = license_filter.get("allowSelling")
+            if allow_selling == "include":
+                kwargs["allow_selling_generated_content"] = True
+            elif allow_selling == "exclude":
+                kwargs["allow_selling_generated_content"] = False
+
+    kwargs["recursive"] = recursive
+    return kwargs

py/services/base_model_service.py

@@ -1295,6 +1295,27 @@ class BaseModelService(ABC):
             path_for_sorting,
         )
 
+    @staticmethod
+    def _relative_path_folder_group_sort_key(
+        relative_path: str, include_terms: List[str]
+    ) -> tuple:
+        """Group paths by folder, then sort by relevance within each group.
+
+        Folders are ordered alphabetically (case-insensitive) by their full
+        folder path, with root-level files (empty folder) first. Within a
+        folder, paths keep the relevance ordering of
+        ``_relative_path_sort_key``. This keeps same-folder entries together
+        in the autocomplete dropdown instead of interleaving them by filename.
+        """
+        path_for_sorting = BaseModelService._remove_model_extension(
+            relative_path.lower()
+        )
+        folder = path_for_sorting.rpartition(os.sep)[0]
+
+        return (folder,) + BaseModelService._relative_path_sort_key(
+            relative_path, include_terms
+        )
+
     async def search_relative_paths(
         self,
         search_term: str,
@@ -1404,9 +1425,13 @@ class BaseModelService(ABC):
             ):
                 matching_paths.append(relative_path)
 
-        # Sort by relevance (prefix and earliest hits first, then by length and alphabetically)
+        # Group by folder (root first, then alphabetically) and sort by
+        # relevance (prefix and earliest hits, then length and alphabetically)
+        # within each folder group.
         matching_paths.sort(
-            key=lambda relative: self._relative_path_sort_key(relative, include_terms)
+            key=lambda relative: self._relative_path_folder_group_sort_key(
+                relative, include_terms
+            )
         )
 
         # Apply offset and limit

py/services/civitai_client.py

@@ -21,7 +21,7 @@ from .model_metadata_provider import (
 from .downloader import get_downloader
 from .errors import RateLimitError, ResourceNotFoundError
 from ..utils.civitai_utils import resolve_license_payload
-from ..utils.constants import MODEL_WEIGHT_FILE_TYPES
+from ..utils.constants import MODEL_WEIGHT_FILE_TYPES, is_empty_placeholder_hash
 
 logger = logging.getLogger(__name__)
 
@@ -180,6 +180,11 @@ class CivitaiClient:
     async def get_model_by_hash(
         self, model_hash: str
     ) -> Tuple[Optional[Dict[str, Any]], Optional[str]]:
+        if is_empty_placeholder_hash(model_hash):
+            # The empty-hash placeholder (SHA256 of an empty byte string)
+            # matches no real file; CivitAI's by-hash index can contain
+            # polluted entries for it, so never resolve it.
+            return None, "Model not found"
         try:
             success, version = await self._make_request(
                 "GET",
@@ -500,9 +505,55 @@ class CivitaiClient:
         logger.warning(f"Failed to fetch version by id {version_id}")
         return None
 
+    async def get_version_file_mini(
+        self, version_id: int, file_id: int
+    ) -> Optional[Dict[str, Any]]:
+        """Fetch raw stored file info via the model-versions/mini endpoint.
+
+        The public REST API rewrites ``files[].name`` to
+        ``"{model}_{version}"`` for non-LoRA model types, so every
+        precision variant of a multi-file version shares one name (#1100).
+        The mini endpoint returns the raw ``ModelFile.name`` in
+        ``fileName``. ``file_id`` is mandatory: without it mini picks a
+        file via its own primary-file logic, which can disagree with the
+        REST ``primary`` flag.
+
+        Returns the mini payload dict on success, None on any failure.
+        """
+        try:
+            success, data = await self._make_request(
+                "GET",
+                f"{self.base_url}/model-versions/mini/{version_id}",
+                params={"modelFileId": file_id},
+                use_auth=True,
+            )
+            if success and isinstance(data, dict):
+                return data
+            if is_expected_offline_error(data):
+                return None
+            logger.debug(
+                "Mini endpoint lookup failed for version %s file %s: %s",
+                version_id,
+                file_id,
+                data,
+            )
+            return None
+        except RateLimitError:
+            raise
+        except Exception as exc:
+            logger.debug(
+                "Error fetching mini info for version %s file %s: %s",
+                version_id,
+                file_id,
+                exc,
+            )
+            return None
+
     async def _fetch_version_by_hash(self, model_hash: Optional[str]) -> Optional[Dict[str, Any]]:
         if not model_hash:
             return None
+        if is_empty_placeholder_hash(model_hash):
+            return None
 
         success, version = await self._make_request(
             "GET",

py/services/download_manager.py

@@ -35,6 +35,7 @@ from .service_registry import ServiceRegistry
 from .settings_manager import get_settings_manager
 from .metadata_service import get_default_metadata_provider, get_metadata_provider
 from .downloader import get_downloader, DownloadProgress, DownloadStreamControl
+from .errors import RateLimitError
 from .aria2_downloader import Aria2Error, get_aria2_downloader
 from .aria2_transfer_state import Aria2TransferStateStore
 from .download_queue_service import DownloadQueueService
@@ -929,6 +930,42 @@ class DownloadManager:
 
         return download_urls
 
+    async def _fetch_raw_file_name(
+        self,
+        metadata_provider,
+        version_id: Optional[int],
+        file_id: Any,
+    ) -> Optional[str]:
+        """Best-effort lookup of the raw stored filename via the CivitAI
+        model-versions/mini endpoint (#1100). Returns None on any failure so
+        the caller can fall back to the (possibly rewritten) REST name."""
+        if version_id is None or file_id is None:
+            return None
+        fetch = getattr(metadata_provider, "get_version_file_mini", None)
+        if fetch is None:
+            return None
+        try:
+            mini_info = await fetch(int(version_id), int(file_id))
+        except (TypeError, ValueError):
+            return None
+        except RateLimitError:
+            raise
+        except Exception as exc:
+            logger.debug(
+                "Mini endpoint lookup failed for version %s file %s: %s",
+                version_id,
+                file_id,
+                exc,
+            )
+            return None
+        if not isinstance(mini_info, dict):
+            return None
+        raw_name = mini_info.get("fileName")
+        if not isinstance(raw_name, str) or not raw_name.strip():
+            return None
+        # Defensive: never let a path component slip into the filename.
+        return os.path.basename(raw_name.strip()) or None
+
     def _build_metadata_for_resume(
         self,
         *,
@@ -1858,6 +1895,24 @@ class DownloadManager:
             if not download_urls:
                 return {"success": False, "error": "No mirror URL found"}
 
+            # The public REST API rewrites files[].name to
+            # "{model}_{version}" for non-LoRA model types, so every
+            # precision variant of a multi-file version shares one name and
+            # lands on disk with a random short-hash suffix. The mini
+            # endpoint returns the raw stored filename (#1100). CivArchive
+            # already serves raw names.
+            if source != "civarchive":
+                raw_file_name = await self._fetch_raw_file_name(
+                    metadata_provider, resolved_version_id, file_info.get("id")
+                )
+                if raw_file_name and raw_file_name != file_info.get("name"):
+                    logger.info(
+                        "[download] Using raw stored filename '%s' instead of REST name '%s'",
+                        raw_file_name,
+                        file_info.get("name"),
+                    )
+                    file_info = {**file_info, "name": raw_file_name}
+
             # 3. Prepare download
             file_name = file_info.get("name", "")
             if not file_name:

py/services/llm_service.py

@@ -58,7 +58,7 @@ async def _load_model_catalog() -> Dict[str, List[str]]:
                     logger.warning("Model catalog returned HTTP %s", resp.status)
                     return _catalog_cache or {}
                 data = await resp.json()
-    except (aiohttp.ClientError, asyncio.TimeoutError, json.JSONDecodeError) as exc:
+    except (aiohttp.ClientError, asyncio.TimeoutError, json.JSONDecodeError, UnicodeDecodeError) as exc:
         logger.warning("Failed to fetch model catalog: %s", exc)
         return _catalog_cache or {}
 
@@ -131,7 +131,7 @@ async def fetch_ollama_models(api_base: str) -> List[str]:
                     logger.debug("Ollama API returned HTTP %s from %s", resp.status, api_base)
                     return []
                 data = await resp.json()
-    except (aiohttp.ClientError, asyncio.TimeoutError, json.JSONDecodeError) as exc:
+    except (aiohttp.ClientError, asyncio.TimeoutError, json.JSONDecodeError, UnicodeDecodeError) as exc:
         logger.debug("Ollama not reachable at %s: %s", api_base, exc)
         return []
 

py/services/model_hash_index.py

@@ -1,6 +1,8 @@
 from typing import Dict, Optional, Set, List
 import os
 
+from ..utils.constants import is_empty_placeholder_hash
+
 class ModelHashIndex:
     """Index for looking up models by hash or filename"""
     
@@ -81,6 +83,8 @@ class ModelHashIndex:
         # mapping. First-time registrations stay O(1).
         if autov3:
             autov3 = autov3.lower()
+            if is_empty_placeholder_hash(autov3):
+                autov3 = None
         if is_re_registration and (existing_hash != sha256 or autov3):
             stale_autov3_keys = [
                 key for key, mapped_path in self._autov3_to_path.items()
@@ -93,7 +97,7 @@ class ModelHashIndex:
 
     def add_autov3(self, autov3: str, file_path: str) -> None:
         """Add or update an AutoV3-only index entry (used when only AutoV3 is known)"""
-        if not autov3:
+        if not autov3 or is_empty_placeholder_hash(autov3):
             return
         autov3 = autov3.lower()
         self._autov3_to_path[autov3] = file_path
@@ -250,6 +254,8 @@ class ModelHashIndex:
     
     def has_hash(self, hash_value: str) -> bool:
         """Check if hash exists in index (SHA256, AutoV2, or AutoV3)"""
+        if is_empty_placeholder_hash(hash_value):
+            return False
         normalized = hash_value.lower()
         if normalized in self._hash_to_path:
             return True
@@ -261,6 +267,8 @@ class ModelHashIndex:
 
     def get_path(self, hash_value: str) -> Optional[str]:
         """Get file path for a hash (SHA256, AutoV2, or AutoV3)"""
+        if is_empty_placeholder_hash(hash_value):
+            return None
         normalized = hash_value.lower()
         path = self._hash_to_path.get(normalized)
         if path is not None:

py/services/model_metadata_provider.py

@@ -169,6 +169,17 @@ class ModelMetadataProvider(ABC):
         """Published model count for the user; None when unsupported."""
         return None
 
+    async def get_version_file_mini(
+        self, version_id: int, file_id: int
+    ) -> Optional[Dict[str, Any]]:
+        """Fetch raw stored file info via CivitAI's model-versions/mini endpoint.
+
+        Only the CivitAI provider implements this (#1100); other providers
+        already serve raw file names (CivArchive) or cannot resolve this
+        lookup (SQLite), so the default is None.
+        """
+        return None
+
 class CivitaiModelMetadataProvider(ModelMetadataProvider):
     """Provider that uses Civitai API for metadata"""
     
@@ -203,6 +214,11 @@ class CivitaiModelMetadataProvider(ModelMetadataProvider):
     async def get_creator_model_count(self, username: str) -> Optional[int]:
         return await self.client.get_creator_model_count(username)
 
+    async def get_version_file_mini(
+        self, version_id: int, file_id: int
+    ) -> Optional[Dict[str, Any]]:
+        return await self.client.get_version_file_mini(version_id, file_id)
+
 class CivArchiveModelMetadataProvider(ModelMetadataProvider):
     """Provider that uses CivArchive API for metadata"""
     
@@ -700,6 +716,37 @@ class FallbackMetadataProvider(ModelMetadataProvider):
                 continue
         return None
 
+    async def get_version_file_mini(
+        self, version_id: int, file_id: int
+    ) -> Optional[Dict[str, Any]]:
+        rate_limited = False
+        for provider, label in self._iter_providers():
+            if rate_limited and label not in _LOCAL_PROVIDER_LABELS:
+                continue
+            try:
+                result = await self._call_with_rate_limit(
+                    label,
+                    provider.get_version_file_mini,
+                    version_id,
+                    file_id,
+                )
+                if result:
+                    return result
+            except RateLimitError as exc:
+                rate_limited = True
+                logger.warning(
+                    "Provider %s is rate-limited (retry_after=%.0fs); not failing over to other network providers",
+                    label,
+                    exc.retry_after or 0,
+                )
+                continue
+            except Exception as e:
+                logger.debug(
+                    "Provider %s failed for get_version_file_mini: %s", label, e
+                )
+                continue
+        return None
+
     def _iter_providers(self):
         return zip(self.providers, self._provider_labels)
 
@@ -791,6 +838,16 @@ class RateLimitRetryingProvider(ModelMetadataProvider):
     async def get_creator_model_count(self, username: str) -> Optional[int]:
         return await self._provider.get_creator_model_count(username)
 
+    async def get_version_file_mini(
+        self, version_id: int, file_id: int
+    ) -> Optional[Dict[str, Any]]:
+        return await self._rate_limit_helper.run(
+            self._label,
+            self._provider.get_version_file_mini,
+            version_id,
+            file_id,
+        )
+
 class ModelMetadataProviderManager:
     """Manager for selecting and using model metadata providers"""
     

py/services/model_scanner.py

@@ -66,6 +66,14 @@ def _is_hidden_relative_path(rel_path: str) -> bool:
 # requests (modal open + autocomplete) do not re-walk the model roots.
 ALL_FOLDERS_CACHE_TTL_SECONDS = 5.0
 
+# Maps a scanner model type to the manager page type used in progress
+# broadcasts (e.g. 'lora' -> 'loras').
+PAGE_TYPE_MAP = {
+    'lora': 'loras',
+    'checkpoint': 'checkpoints',
+    'embedding': 'embeddings',
+}
+
 
 def _is_pending_delete_path(path: str) -> bool:
     """Return True when any path component is the pending-delete staging dir."""
@@ -149,6 +157,38 @@ class ModelScanner:
         # Register this service
         asyncio.create_task(self._register_service())
 
+    @property
+    def page_type(self) -> str:
+        """Manager page type used in progress broadcasts (e.g. 'loras')."""
+        return PAGE_TYPE_MAP.get(self.model_type, self.model_type)
+
+    async def _broadcast_scan_progress(
+        self,
+        status: str,
+        stage: str,
+        progress: int,
+        full_rebuild: bool,
+        **extra: Any,
+    ) -> None:
+        """Broadcast manual-refresh scan progress on the generic WS channel.
+
+        Best-effort only: broadcast failures must never affect the scan itself.
+        """
+        payload: Dict[str, Any] = {
+            'type': 'scan_progress',
+            'status': status,
+            'model_type': self.model_type,
+            'pageType': self.page_type,
+            'stage': stage,
+            'full_rebuild': full_rebuild,
+            'progress': progress,
+        }
+        payload.update(extra)
+        try:
+            await ws_manager.broadcast(payload)
+        except Exception as exc:  # pragma: no cover - defensive logging
+            logger.error(f"Error broadcasting scan progress for {self.model_type}: {exc}")
+
     @property
     def cache_version(self) -> int:
         """Monotonic version counter for the in-memory cache.
@@ -434,12 +474,7 @@ class ModelScanner:
             self._is_initializing = True
             
             # Determine the page type based on model type
-            page_type_map = {
-                'lora': 'loras',
-                'checkpoint': 'checkpoints',
-                'embedding': 'embeddings'
-            }
-            page_type = page_type_map.get(self.model_type, self.model_type)
+            page_type = self.page_type
             
             # First, try to load from cache
             await ws_manager.broadcast_init_progress({
@@ -804,7 +839,7 @@ class ModelScanner:
             last_progress_time = time.time()
             last_progress_percent = 0
 
-            async def progress_callback(processed_files: int, expected_total: int) -> None:
+            async def progress_callback(processed_files: int, expected_total: int, current_name: str = '') -> None:
                 nonlocal last_progress_time, last_progress_percent
 
                 if expected_total <= 0:
@@ -871,32 +906,84 @@ class ModelScanner:
     async def _initialize_cache(self) -> None:
         """Initialize or refresh the cache"""
         self._is_initializing = True  # Set flag
+        last_progress_percent = 0
         try:
             start_time = time.time()
-            
+
+            await self._broadcast_scan_progress('started', 'scan_folders', 0, True)
+
             # Manually trigger a symlink rescan during a full rebuild.
             # This ensures that any new symlink mappings are correctly picked up.
             config.rebuild_symlink_cache()
 
-            # Determine the page type based on model type
+            # Count files in a thread so the event loop stays responsive
+            loop = asyncio.get_running_loop()
+            total_files = await loop.run_in_executor(None, self._count_model_files)
+            await self._broadcast_scan_progress(
+                'processing', 'count_models', 1, True,
+                processed=0, total=total_files,
+            )
+
+            last_progress_time = time.time()
+
+            async def progress_callback(processed_files: int, expected_total: int, current_name: str = '') -> None:
+                nonlocal last_progress_time, last_progress_percent
+
+                if expected_total <= 0:
+                    return
+
+                current_time = time.time()
+                progress_percent = min(99, int(1 + (processed_files / expected_total) * 98))
+
+                if progress_percent <= last_progress_percent:
+                    return
+
+                if current_time - last_progress_time <= 0.5 and processed_files != expected_total:
+                    return
+
+                last_progress_percent = progress_percent
+                last_progress_time = current_time
+
+                await self._broadcast_scan_progress(
+                    'processing', 'process_models', progress_percent, True,
+                    processed=processed_files, total=expected_total,
+                    current_name=current_name,
+                )
+
             # Scan for new data
-            scan_result = await self._gather_model_data()
+            scan_result = await self._gather_model_data(
+                total_files=total_files,
+                progress_callback=progress_callback,
+            )
             if not self.is_cancelled():
+                await self._broadcast_scan_progress('finalizing', 'finalizing', 99, True)
                 await self._apply_scan_result(scan_result)
                 await self._save_persistent_cache(scan_result)
                 await self._sync_download_history(scan_result.raw_data, source='scan')
+                await self._broadcast_scan_progress(
+                    'completed', 'finalizing', 100, True,
+                    elapsed_seconds=time.time() - start_time,
+                )
 
                 logger.info(
                     f"{self.model_type.capitalize()} Scanner: Cache initialization completed in {time.time() - start_time:.2f} seconds, "
                     f"found {len(scan_result.raw_data)} models"
                 )
             else:
+                await self._broadcast_scan_progress(
+                    'cancelled', 'process_models', last_progress_percent, True,
+                    elapsed_seconds=time.time() - start_time,
+                )
                 logger.info(
                     f"{self.model_type.capitalize()} Scanner: Cache initialization cancelled "
                     f"after {time.time() - start_time:.2f} seconds"
                 )
         except Exception as e:
             logger.error(f"{self.model_type.capitalize()} Scanner: Error initializing cache: {e}")
+            await self._broadcast_scan_progress(
+                'error', 'process_models', last_progress_percent, True,
+                error=str(e),
+            )
             # Ensure cache is at least an empty structure on error
             if self._cache is None:
                 self._cache = ModelCache(
@@ -914,6 +1001,8 @@ class ModelScanner:
         try:
             start_time = time.time()
             logger.info(f"{self.model_type.capitalize()} Scanner: Starting fast cache reconciliation...")
+
+            await self._broadcast_scan_progress('started', 'reconcile_scan', 0, False)
             
             # Get current cached file paths
             cached_paths = {item['file_path'] for item in self._cache.raw_data}
@@ -987,6 +1076,10 @@ class ModelScanner:
                     await asyncio.sleep(0)
                     if self.is_cancelled():
                         logger.info(f"{self.model_type.capitalize()} Scanner: Reconcile scan cancelled")
+                        await self._broadcast_scan_progress(
+                            'cancelled', 'reconcile_scan', 0, False,
+                            elapsed_seconds=time.time() - start_time,
+                        )
                         return
 
             # Process new files in batches
@@ -994,10 +1087,14 @@ class ModelScanner:
             if new_files:
                 logger.info(f"{self.model_type.capitalize()} Scanner: Found {len(new_files)} new files to process")
                 batch_size = 50
-                for i in range(0, len(new_files), batch_size):
+                total_new = len(new_files)
+                processed_new = 0
+                last_progress_time = time.time()
+                for i in range(0, total_new, batch_size):
                     batch = new_files[i:i+batch_size]
                     for path in batch:
                         logger.info(f"{self.model_type.capitalize()} Scanner: Processing {path}")
+                        processed_new += 1
                         try:
                             # Find the appropriate root path for this file
                             root_path = None
@@ -1053,9 +1150,24 @@ class ModelScanner:
                                 logger.error(f"Could not determine root path for {path}")
                         except Exception as e:
                             logger.error(f"Error adding {path} to cache: {e}")
-                        
+
+                        current_time = time.time()
+                        if current_time - last_progress_time > 0.5 or processed_new == total_new:
+                            last_progress_time = current_time
+                            await self._broadcast_scan_progress(
+                                'processing', 'process_new',
+                                min(99, int(1 + (processed_new / total_new) * 98)), False,
+                                processed=processed_new, total=total_new,
+                                current_name=os.path.basename(path),
+                            )
+
                         if self.is_cancelled():
                             logger.info(f"{self.model_type.capitalize()} Scanner: Reconcile processing cancelled")
+                            await self._broadcast_scan_progress(
+                                'cancelled', 'process_new',
+                                min(99, int(1 + (processed_new / total_new) * 98)), False,
+                                elapsed_seconds=time.time() - start_time,
+                            )
                             return
             
             # Find missing files (in cache but not in filesystem)
@@ -1121,8 +1233,17 @@ class ModelScanner:
                 await self._persist_current_cache()
                 
             logger.info(f"{self.model_type.capitalize()} Scanner: Cache reconciliation completed in {time.time() - start_time:.2f} seconds. Added {total_added}, removed {total_removed} models.")
+            await self._broadcast_scan_progress(
+                'completed', 'process_new', 100, False,
+                added=total_added, removed=total_removed,
+                elapsed_seconds=time.time() - start_time,
+            )
         except Exception as e:
             logger.error(f"{self.model_type.capitalize()} Scanner: Error reconciling cache: {e}", exc_info=True)
+            await self._broadcast_scan_progress(
+                'error', 'reconcile_scan', 0, False,
+                error=str(e),
+            )
         finally:
             self._is_initializing = False # Unset flag
             self.bump_cache_version()
@@ -1498,7 +1619,7 @@ class ModelScanner:
         self,
         *,
         total_files: int = 0,
-        progress_callback: Optional[Callable[[int, int], Awaitable[None]]] = None
+        progress_callback: Optional[Callable[[int, int, str], Awaitable[None]]] = None
     ) -> CacheBuildResult:
         """Collect metadata for all model files."""
 
@@ -1510,11 +1631,11 @@ class ModelScanner:
         processed_real_files: Set[str] = set()
         visited_real_dirs: Set[str] = set()
 
-        async def handle_progress() -> None:
+        async def handle_progress(current_name: str = '') -> None:
             if progress_callback is None:
                 return
             try:
-                await progress_callback(processed_files, total_files)
+                await progress_callback(processed_files, total_files, current_name)
             except Exception as exc:  # pragma: no cover - defensive logging
                 logger.error(f"Error reporting progress for {self.model_type}: {exc}")
 
@@ -1580,7 +1701,7 @@ class ModelScanner:
                                 for tag in result.get('tags') or []:
                                     tags_count[tag] = tags_count.get(tag, 0) + 1
 
-                            await handle_progress()
+                            await handle_progress(entry.name)
                             await asyncio.sleep(0)
                             if self.is_cancelled():
                                 return

py/services/persistent_recipe_cache.py

@@ -52,7 +52,6 @@ class PersistentRecipeCache:
         "file_mtime",
         "file_size",
         "favorite",
-        "repair_version",
         "preview_nsfw_level",
         "loras_json",
         "checkpoint_json",
@@ -442,7 +441,6 @@ class PersistentRecipeCache:
                             file_mtime REAL,
                             file_size INTEGER,
                             favorite INTEGER DEFAULT 0,
-                            repair_version INTEGER DEFAULT 0,
                             preview_nsfw_level INTEGER DEFAULT 0,
                             loras_json TEXT,
                             checkpoint_json TEXT,
@@ -541,7 +539,6 @@ class PersistentRecipeCache:
             file_mtime,
             file_size,
             1 if recipe.get("favorite") else 0,
-            int(recipe.get("repair_version") or 0),
             int(recipe.get("preview_nsfw_level") or 0),
             loras_json,
             checkpoint_json,
@@ -599,7 +596,6 @@ class PersistentRecipeCache:
             "created_date": row["created_date"] or 0.0,
             "modified": row["modified"] or 0.0,
             "favorite": bool(row["favorite"]),
-            "repair_version": row["repair_version"] or 0,
             "preview_nsfw_level": row["preview_nsfw_level"] or 0,
             "has_workflow": bool(row["has_workflow"]),
             "loras": loras,

py/services/recipe_scanner.py

@@ -48,6 +48,12 @@ _CHECKPOINT_MODEL_TYPE_ALIASES = {"diffusionmodel": "diffusion_model"}
 # Valid LoRA availability statuses for the recipe listing filter.
 _VALID_LORA_AVAILABILITY_STATUSES = frozenset({"ready", "missing", "deleted"})
 
+# Filter marker for recipes whose base model could not be determined
+# (base_model is None or empty). The UI displays "Unknown" for this bucket;
+# the marker keeps the semantics explicit and disjoint from any real base
+# model string.
+UNKNOWN_BASE_MODEL_FILTER = "__unknown__"
+
 
 class RecipeScanner:
     """Service for scanning and managing recipe images"""
@@ -88,8 +94,6 @@ class RecipeScanner:
             cls._instance._civitai_client = None  # Will be lazily initialized
         return cls._instance
 
-    REPAIR_VERSION = 4
-
     def __init__(
         self,
         lora_scanner: Optional[LoraScanner] = None,
@@ -805,207 +809,6 @@ class RecipeScanner:
         """Check if cancellation has been requested."""
         return self._cancel_requested
 
-    async def repair_all_recipes(
-        self, progress_callback: Optional[Callable[[Dict[str, Any]], Any]] = None
-    ) -> Dict[str, Any]:
-        """Repair all recipes by enrichment with Civitai and embedded metadata.
-
-        Args:
-            persistence_service: Service for saving updated recipes
-            progress_callback: Optional callback for progress updates
-
-        Returns:
-            Dict summary of repair results
-        """
-        if progress_callback:
-            await progress_callback({"status": "started"})
-        async with self._mutation_lock:
-            cache = await self.get_cached_data()
-            all_recipes = list(cache.raw_data)
-            total = len(all_recipes)
-            repaired_count = 0
-            skipped_count = 0
-            errors_count = 0
-
-            civitai_client = await self._get_civitai_client()
-            self.reset_cancellation()
-
-            for i, recipe in enumerate(all_recipes):
-                if self.is_cancelled():
-                    logger.info("Recipe repair cancelled by user")
-                    if progress_callback:
-                        await progress_callback(
-                            {
-                                "status": "cancelled",
-                                "current": i,
-                                "total": total,
-                                "repaired": repaired_count,
-                                "skipped": skipped_count,
-                                "errors": errors_count,
-                            }
-                        )
-                    return {
-                        "success": False,
-                        "status": "cancelled",
-                        "repaired": repaired_count,
-                        "skipped": skipped_count,
-                        "errors": errors_count,
-                        "total": total,
-                    }
-
-                try:
-                    # Report progress
-                    if progress_callback:
-                        await progress_callback(
-                            {
-                                "status": "processing",
-                                "current": i + 1,
-                                "total": total,
-                                "recipe_name": recipe.get("name", "Unknown"),
-                            }
-                        )
-
-                    if await self._repair_single_recipe(recipe, civitai_client):
-                        repaired_count += 1
-                    else:
-                        skipped_count += 1
-
-                except Exception as e:
-                    logger.error(
-                        f"Error repairing recipe {recipe.get('file_path')}: {e}"
-                    )
-                    errors_count += 1
-
-            # Final progress update
-            if progress_callback:
-                await progress_callback(
-                    {
-                        "status": "completed",
-                        "repaired": repaired_count,
-                        "skipped": skipped_count,
-                        "errors": errors_count,
-                        "total": total,
-                    }
-                )
-
-            return {
-                "success": True,
-                "repaired": repaired_count,
-                "skipped": skipped_count,
-                "errors": errors_count,
-                "total": total,
-            }
-
-    async def repair_recipe_by_id(self, recipe_id: str) -> Dict[str, Any]:
-        """Repair a single recipe by its ID.
-
-        Args:
-            recipe_id: ID of the recipe to repair
-
-        Returns:
-            Dict summary of repair result
-        """
-        async with self._mutation_lock:
-            # Get raw recipe from cache directly to avoid formatted fields
-            cache = await self.get_cached_data()
-            recipe = next(
-                (r for r in cache.raw_data if str(r.get("id", "")) == recipe_id), None
-            )
-
-            if not recipe:
-                raise RecipeNotFoundError(f"Recipe {recipe_id} not found")
-
-            civitai_client = await self._get_civitai_client()
-            success = await self._repair_single_recipe(recipe, civitai_client)
-
-            # If successfully repaired, we should return the formatted version for the UI
-            return {
-                "success": True,
-                "repaired": 1 if success else 0,
-                "skipped": 0 if success else 1,
-                "recipe": await self.get_recipe_by_id(recipe_id) if success else recipe,
-            }
-
-    async def _repair_single_recipe(
-        self, recipe: Dict[str, Any], civitai_client: Any
-    ) -> bool:
-        """Internal helper to repair a single recipe object.
-
-        Args:
-            recipe: The recipe dictionary to repair (modified in-place)
-            civitai_client: Authenticated Civitai client
-
-        Returns:
-            bool: True if recipe was repaired or updated, False if skipped
-        """
-        # 1. Skip if already at latest repair version
-        if recipe.get("repair_version", 0) >= self.REPAIR_VERSION:
-            return False
-
-        # 1.5 Detect and clear corrupted checkpoint (LoRA data saved as checkpoint).
-        #     A checkpoint whose modelVersionId also appears in a LoRA entry is
-        #     definitely wrong — the CivitAI import code used to pick
-        #     modelVersionIds[0] as the checkpoint, which was often a LoRA.
-        #     Clearing it lets the enrichment flow re-resolve the correct
-        #     checkpoint from CivitAI image metadata.
-        cp = recipe.get("checkpoint")
-        lora_mvids = {
-            l.get("modelVersionId")
-            for l in recipe.get("loras", [])
-            if l.get("modelVersionId")
-        }
-        if cp and cp.get("modelVersionId") and cp["modelVersionId"] in lora_mvids:
-            cp_mvid = cp["modelVersionId"]
-            logger.info(
-                "Recipe %s: checkpoint modelVersionId %s matches a LoRA — "
-                "clearing corrupted checkpoint and removing matching LoRA entry",
-                recipe.get("id"),
-                cp_mvid,
-            )
-            recipe["checkpoint"] = None
-            recipe["loras"] = [
-                l for l in recipe.get("loras", [])
-                if l.get("modelVersionId") != cp_mvid
-            ]
-
-        # 2. Identification: Is repair needed?
-        has_checkpoint = (
-            "checkpoint" in recipe
-            and recipe["checkpoint"]
-            and recipe["checkpoint"].get("name")
-        )
-        gen_params = recipe.get("gen_params", {})
-        has_prompt = bool(gen_params.get("prompt"))
-
-        needs_repair = not has_checkpoint or not has_prompt
-
-        if not needs_repair:
-            # Even if no repair needed, we mark it with version if it was processed
-            # Always update and save because if we are here, the version is old (checked in step 1)
-            recipe["repair_version"] = self.REPAIR_VERSION
-            await self._save_recipe_persistently(recipe)
-            return True
-
-        # 3. Use Enricher to repair/enrich
-        try:
-            from ..recipes.enrichment import RecipeEnricher
-
-            updated = await RecipeEnricher.enrich_recipe(recipe, civitai_client)
-        except Exception as e:
-            logger.error(f"Error enriching recipe {recipe.get('id')}: {e}")
-            updated = False
-
-        # 4. Mark version and save if updated or just marking version
-        # If we updated it, OR if the version is old (which we know it is if we are here), save it.
-        # Actually, if we are here and updated is False, it means we tried to repair but couldn't/didn't need to.
-        # But we still want to mark it as processed so we don't try again until version bump.
-        if updated or recipe.get("repair_version", 0) < self.REPAIR_VERSION:
-            recipe["repair_version"] = self.REPAIR_VERSION
-            await self._save_recipe_persistently(recipe)
-            return True
-
-        return False
-
     async def rematch_recipe_by_id(self, recipe_id: str) -> Dict[str, Any]:
         """Rematch a single recipe's deleted lora/checkpoint entries locally.
 
@@ -1747,7 +1550,36 @@ class RecipeScanner:
             # Mark initialization as complete regardless of outcome
             self._is_initializing = False
 
-    def _initialize_recipe_cache_sync(self):
+    async def _broadcast_scan_progress(
+        self,
+        status: str,
+        stage: str,
+        progress: int,
+        full_rebuild: bool,
+        **extra: Any,
+    ) -> None:
+        """Broadcast manual-refresh scan progress on the generic WS channel.
+
+        Mirrors ``ModelScanner._broadcast_scan_progress`` so the recipes page
+        can reuse the same frontend contract. Best-effort only: broadcast
+        failures must never affect the scan itself.
+        """
+        payload: Dict[str, Any] = {
+            'type': 'scan_progress',
+            'status': status,
+            'model_type': 'recipe',
+            'pageType': 'recipes',
+            'stage': stage,
+            'full_rebuild': full_rebuild,
+            'progress': progress,
+        }
+        payload.update(extra)
+        try:
+            await ws_manager.broadcast(payload)
+        except Exception as exc:  # pragma: no cover - defensive logging
+            logger.error(f"Error broadcasting scan progress for recipe: {exc}")
+
+    def _initialize_recipe_cache_sync(self, report_progress: bool = False):
         """Synchronous version of recipe cache initialization for thread pool execution.
 
         Uses persistent cache for fast startup when available:
@@ -1755,8 +1587,14 @@ class RecipeScanner:
         2. Reconcile with filesystem (check mtime/size for changes)
         3. Fall back to full directory scan if cache miss or reconciliation fails
         4. Persist results for next startup
+
+        Args:
+            report_progress: When True (manual force-refresh only), broadcast
+                scan_progress messages during the full directory scan. Startup
+                initialization leaves this False and behaves as before.
         """
         loop = None
+        scan_start_time: Optional[float] = None
         try:
             # Ensure cache exists to avoid None reference errors
             if self._cache is None:
@@ -1838,7 +1676,17 @@ class RecipeScanner:
 
             # Fall back to full directory scan
             logger.info("Recipe cache miss: performing full directory scan")
-            recipes, json_paths = self._full_directory_scan_sync(recipes_dir)
+            if report_progress:
+                scan_start_time = time.time()
+                # Broadcast from the worker thread via its own event loop,
+                # mirroring ModelScanner._initialize_cache_sync.
+                loop.run_until_complete(
+                    self._broadcast_scan_progress('started', 'scan_folders', 0, True)
+                )
+            recipes, json_paths = self._full_directory_scan_sync(
+                recipes_dir,
+                progress_loop=loop if report_progress else None,
+            )
             self._json_path_map = json_paths
 
             # Update cache with the collected data
@@ -1852,12 +1700,30 @@ class RecipeScanner:
                 recipes, json_paths, self._cache.image_id_map
             )
 
+            if report_progress:
+                loop.run_until_complete(
+                    self._broadcast_scan_progress(
+                        'completed', 'finalizing', 100, True,
+                        elapsed_seconds=time.time() - (scan_start_time or time.time()),
+                        total=len(recipes),
+                    )
+                )
+
             return self._cache
         except Exception as e:
             logger.error(f"Error in thread-based recipe cache initialization: {e}")
             import traceback
 
             traceback.print_exc(file=sys.stderr)
+            if report_progress and loop is not None:
+                try:
+                    loop.run_until_complete(
+                        self._broadcast_scan_progress(
+                            'error', 'process_models', 0, True, error=str(e)
+                        )
+                    )
+                except Exception:  # pragma: no cover - defensive logging
+                    logger.error("Error broadcasting recipe scan failure", exc_info=True)
             return self._cache if hasattr(self, "_cache") else None
         finally:
             # Clean up the event loop
@@ -2011,12 +1877,16 @@ class RecipeScanner:
         return updated
 
     def _full_directory_scan_sync(
-        self, recipes_dir: str
+        self,
+        recipes_dir: str,
+        progress_loop: Optional[asyncio.AbstractEventLoop] = None,
     ) -> Tuple[List[Dict[str, Any]], Dict[str, str]]:
         """Perform a full synchronous directory scan for recipes.
 
         Args:
             recipes_dir: Path to the recipes directory.
+            progress_loop: When set (manual force-refresh only), broadcast
+                scan_progress messages through this thread-local event loop.
 
         Returns:
             Tuple of (recipes list, json_paths dict).
@@ -2031,6 +1901,17 @@ class RecipeScanner:
                 if file.lower().endswith(".recipe.json"):
                     recipe_files.append(os.path.join(root, file))
 
+        total_files = len(recipe_files)
+        if progress_loop is not None:
+            progress_loop.run_until_complete(
+                self._broadcast_scan_progress(
+                    'processing', 'count_models', 1, True,
+                    processed=0, total=total_files,
+                )
+            )
+
+        last_progress_time = time.time()
+
         # Process each recipe file
         for i, recipe_path in enumerate(recipe_files):
             recipe_data = self._load_recipe_file_sync(recipe_path)
@@ -2038,6 +1919,23 @@ class RecipeScanner:
                 recipe_id = str(recipe_data.get("id", ""))
                 recipes.append(recipe_data)
                 json_paths[recipe_id] = recipe_path
+            if progress_loop is not None and total_files > 0:
+                processed = i + 1
+                current_time = time.time()
+                # Throttle to one update per 0.5s; always send the final one.
+                if (
+                    processed == total_files
+                    or current_time - last_progress_time > 0.5
+                ):
+                    last_progress_time = current_time
+                    progress_percent = min(99, int(1 + (processed / total_files) * 98))
+                    progress_loop.run_until_complete(
+                        self._broadcast_scan_progress(
+                            'processing', 'process_models', progress_percent, True,
+                            processed=processed, total=total_files,
+                            current_name=os.path.basename(recipe_path),
+                        )
+                    )
             # Periodically release GIL so the event loop thread can run
             if i % 100 == 0:
                 time.sleep(0)
@@ -2607,11 +2505,14 @@ class RecipeScanner:
                         start_time = time.time()
 
                         # Run the heavy lifting in a thread pool – same path
-                        # used by initialize_in_background().
+                        # used by initialize_in_background(). Pass
+                        # report_progress=True so manual refreshes broadcast
+                        # scan_progress updates; startup init keeps it off.
                         loop = asyncio.get_event_loop()
                         cache = await loop.run_in_executor(
                             None,
                             self._initialize_recipe_cache_sync,
+                            True,
                         )
                         if cache is not None:
                             self._cache = cache
@@ -3530,11 +3431,23 @@ class RecipeScanner:
             if filters:
                 # Filter by base model
                 if "base_model" in filters and filters["base_model"]:
-                    filtered_data = [
-                        item
-                        for item in filtered_data
-                        if item.get("base_model", "") in filters["base_model"]
-                    ]
+                    base_model_filter = filters["base_model"]
+                    if UNKNOWN_BASE_MODEL_FILTER in base_model_filter:
+                        # The unknown bucket matches recipes whose base model
+                        # could not be determined (None/empty); real base
+                        # models in the list still match by exact name.
+                        filtered_data = [
+                            item
+                            for item in filtered_data
+                            if not item.get("base_model")
+                            or item.get("base_model") in base_model_filter
+                        ]
+                    else:
+                        filtered_data = [
+                            item
+                            for item in filtered_data
+                            if item.get("base_model", "") in base_model_filter
+                        ]
 
                 # Filter by favorite
                 if "favorite" in filters and filters["favorite"]:

py/services/recipes/analysis_service.py

@@ -368,6 +368,7 @@ class RecipeAnalysisService:
         *,
         file_path: str | None,
         recipe_scanner,
+        ignore_recipe_metadata: bool = False,
     ) -> AnalysisResult:
         """Analyze a file already present on disk."""
 
@@ -389,6 +390,22 @@ class RecipeAnalysisService:
             }
             return result
 
+        if ignore_recipe_metadata:
+            # Re-import: re-parse the original embedded generation metadata
+            # instead of the recipe JSON block LoRA Manager appended on save.
+            from ...recipes.parsers.recipe_format import strip_recipe_metadata
+
+            metadata = strip_recipe_metadata(metadata)
+            if not metadata:
+                result = self._metadata_not_found_response(normalized_path)
+                result.payload["diagnostics"] = {
+                    "channel": "local",
+                    "exif_present": True,
+                    "ignore_recipe_metadata": True,
+                    "reason": "only_recipe_metadata",
+                }
+                return result
+
         result = await self._parse_metadata(
             metadata,
             recipe_scanner=recipe_scanner,

py/services/recipes/persistence_service.py

@@ -58,6 +58,7 @@ class RecipePersistenceService:
         extension: str | None = None,
         recipe_id: str | None = None,
         target_dir: str | None = None,
+        skip_optimize: bool = False,
     ) -> PersistenceResult:
         """Persist a user uploaded recipe.
 
@@ -67,6 +68,11 @@ class RecipePersistenceService:
             target_dir: If provided, save recipe files to this directory instead
                 of the default recipes_dir. Used by re-import to preserve the
                 original folder location.
+            skip_optimize: If True, store the image bytes verbatim without
+                resizing/re-encoding (recipe metadata is still embedded via a
+                byte-level EXIF update that leaves the pixels untouched). Used
+                by local re-import, where the source is the recipe's own
+                already-optimized preview image.
         """
 
         missing_fields = []
@@ -87,9 +93,12 @@ class RecipePersistenceService:
 
         recipe_id = recipe_id or str(uuid.uuid4())
         
-        # Handle video formats by bypassing optimization and metadata embedding
+        # Handle video formats by bypassing optimization and metadata embedding.
+        # Local re-import also bypasses optimization: the source is the
+        # recipe's own already-optimized preview image, so re-compressing it
+        # would only degrade quality.
         is_video = extension in [".mp4", ".webm"]
-        if is_video:
+        if is_video or skip_optimize:
             optimized_image = resolved_image_bytes
             # extension is already set
         else:
@@ -175,7 +184,11 @@ class RecipePersistenceService:
             json.dump(recipe_data, file_obj, indent=4, ensure_ascii=False)
 
         if not is_video:
-            self._exif_utils.append_recipe_metadata(normalized_image_path, recipe_data)
+            self._exif_utils.append_recipe_metadata(
+                normalized_image_path,
+                recipe_data,
+                pixel_preserving=skip_optimize,
+            )
 
         matching_recipes = await self._find_matching_recipes(recipe_scanner, fingerprint, exclude_id=recipe_id)
         await recipe_scanner.add_recipe(recipe_data)

py/services/settings_manager.py

@@ -116,6 +116,7 @@ DEFAULT_SETTINGS: Dict[str, Any] = {
     "backup_retention_count": 5,
     "use_new_license_icons": True,
     "group_by_model": False,
+    "sticky_controls": False,
     # AI / LLM provider configuration (BYOK)
     "llm_provider": "openai",  # "openai" | "ollama" | "custom"
     "llm_api_key": "",

py/services/websocket_manager.py

@@ -20,8 +20,6 @@ class WebSocketManager:
         self._last_init_progress: Dict[str, Dict[str, Any]] = {}
         # Add auto-organize progress tracking
         self._auto_organize_progress: Optional[Dict[str, Any]] = None
-        # Add recipe repair progress tracking
-        self._recipe_repair_progress: Optional[Dict[str, Any]] = None
         # Add recipe rematch progress tracking
         self._recipe_rematch_progress: Optional[Dict[str, Any]] = None
         self._auto_organize_lock = asyncio.Lock()
@@ -193,14 +191,6 @@ class WebSocketManager:
         # Broadcast via WebSocket
         await self.broadcast(data)
     
-    async def broadcast_recipe_repair_progress(self, data: Dict[str, Any]):
-        """Broadcast recipe repair progress to connected clients"""
-        # Store progress data in memory
-        self._recipe_repair_progress = data
-        
-        # Broadcast via WebSocket
-        await self.broadcast(data)
-    
     def get_auto_organize_progress(self) -> Optional[Dict[str, Any]]:
         """Get current auto-organize progress"""
         return self._auto_organize_progress
@@ -209,22 +199,6 @@ class WebSocketManager:
         """Clear auto-organize progress data"""
         self._auto_organize_progress = None
     
-    def get_recipe_repair_progress(self) -> Optional[Dict[str, Any]]:
-        """Get current recipe repair progress"""
-        return self._recipe_repair_progress
-    
-    def cleanup_recipe_repair_progress(self):
-        """Clear recipe repair progress data if it is in a finished state"""
-        if self._recipe_repair_progress and self._recipe_repair_progress.get('status') in ['completed', 'cancelled', 'error']:
-            self._recipe_repair_progress = None
-    
-    def is_recipe_repair_running(self) -> bool:
-        """Check if recipe repair is currently running"""
-        if not self._recipe_repair_progress:
-            return False
-        status = self._recipe_repair_progress.get('status')
-        return status in ['started', 'processing']
-    
     async def broadcast_recipe_rematch_progress(self, data: Dict[str, Any]):
         """Broadcast recipe rematch progress to connected clients"""
         # Store progress data in memory

py/utils/constants.py

@@ -1,3 +1,5 @@
+from typing import Any
+
 NSFW_LEVELS = {
     "PG": 1,
     "PG13": 2,
@@ -99,11 +101,30 @@ DEFAULT_HASH_CHUNK_SIZE_MB = 4
 # absurd 64-bit header length from forcing a multi-GB allocation during scan.
 MAX_SAFETENSORS_HEADER_BYTES = 64 * 1024 * 1024
 
-# First 12 chars of the SHA256 of an empty byte string. Some (re-packaging)
-# training tools write this placeholder into safetensors metadata instead of a
-# real hash; it must never be treated as a valid AutoV3 — several broken
-# models sharing it would collide in the hash index and falsely match recipes.
-INVALID_AUTOV3_EMPTY_HASH = "e3b0c44298fc"
+# SHA256 of an empty byte string. Some (re-packaging) training tools write a
+# truncated form of this placeholder into safetensors metadata (as
+# ``modelspec.hash_sha256`` / ``sshs_model_hash``), and hashing an empty or
+# unreadable file produces it directly. It must never be treated as a valid
+# hash: several broken models share it, CivitAI's by-hash index can contain
+# such polluted entries, and matching it falsely attributes recipes.
+EMPTY_HASH_SHA256 = "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
+INVALID_AUTOV3_EMPTY_HASH = EMPTY_HASH_SHA256[:12]
+INVALID_AUTOV2_EMPTY_HASH = EMPTY_HASH_SHA256[:10]
+
+
+def is_empty_placeholder_hash(value: Any) -> bool:
+    """True for a 10/12/64-hex-char spelling of the empty-hash placeholder.
+
+    These are the AutoV2, AutoV3 and full-SHA256 forms of the placeholder;
+    such values identify no real model and must never be resolved against
+    local files or CivitAI.
+    """
+    if not isinstance(value, str):
+        return False
+    v = value.strip().lower()
+    if len(v) not in (10, 12, 64):
+        return False
+    return v == EMPTY_HASH_SHA256[: len(v)]
 
 # Auto-organize settings
 AUTO_ORGANIZE_BATCH_SIZE = (

py/utils/exif_utils.py

@@ -348,8 +348,14 @@ class ExifUtils:
             return image_path
             
     @staticmethod
-    def append_recipe_metadata(image_path, recipe_data) -> str:
-        """Append recipe metadata to an image's EXIF data"""
+    def append_recipe_metadata(image_path, recipe_data, pixel_preserving=False) -> str:
+        """Append recipe metadata to an image's EXIF data
+
+        When ``pixel_preserving`` is True (and the image is a WebP) only the
+        EXIF container is rewritten at the byte level, so the preview pixels
+        are never re-encoded. Local re-import uses this because its source is
+        the recipe's own already-optimized preview image.
+        """
         try:
             if image_path:
                 ext = os.path.splitext(image_path)[1].lower()
@@ -417,13 +423,71 @@ class ExifUtils:
             
             # Append to existing metadata or create new one
             new_metadata = f"{metadata} \n {recipe_metadata_marker}" if metadata else recipe_metadata_marker
-            
+
+            # Write back to the image. Re-import keeps the already-optimized
+            # preview pixels untouched and updates only the WebP EXIF chunk
+            # instead of re-encoding the whole image.
+            if pixel_preserving and image_path.lower().endswith(".webp"):
+                metadata_fields = ExifUtils._load_structured_metadata(image_path)
+                metadata_fields["parameters"] = new_metadata
+                exif_bytes = ExifUtils._build_exif_bytes(metadata_fields)
+                with open(image_path, "rb") as file_obj:
+                    image_bytes = file_obj.read()
+                try:
+                    updated = ExifUtils._replace_webp_exif(image_bytes, exif_bytes)
+                except ValueError:
+                    # Container without an EXIF chunk; fall back to re-encoding.
+                    return ExifUtils.update_image_metadata(image_path, new_metadata)
+                with open(image_path, "wb") as file_obj:
+                    file_obj.write(updated)
+                return image_path
+
             # Write back to the image
             return ExifUtils.update_image_metadata(image_path, new_metadata)
         except Exception as e:
             logger.error(f"Error appending recipe metadata: {e}", exc_info=True)
             return image_path
 
+    @staticmethod
+    def _replace_webp_exif(image_bytes: bytes, exif_bytes: bytes) -> bytes:
+        """Replace the EXIF chunk of a WebP file without re-encoding pixels."""
+        if image_bytes[:4] != b"RIFF" or image_bytes[8:12] != b"WEBP":
+            raise ValueError("Not a WebP file")
+        # The WebP EXIF chunk stores raw TIFF data; strip the JPEG-style
+        # "Exif\\0\\0" prefix that piexif.dump may prepend.
+        tiff = exif_bytes[6:] if exif_bytes[:6] == b"Exif\x00\x00" else exif_bytes
+
+        out = bytearray(image_bytes[:12])
+        pos = 12
+        exif_payload = None
+        while pos + 8 <= len(image_bytes):
+            fourcc = image_bytes[pos : pos + 4]
+            size = struct.unpack("<I", image_bytes[pos + 4 : pos + 8])[0]
+            chunk_data = image_bytes[pos + 8 : pos + 8 + size]
+            pad = size % 2
+            if fourcc == b"EXIF":
+                exif_payload = tiff
+            else:
+                out += (
+                    fourcc
+                    + struct.pack("<I", size)
+                    + chunk_data
+                    + (b"\x00" * pad)
+                )
+            pos += 8 + size + pad
+
+        if exif_payload is None:
+            raise ValueError("WebP has no EXIF chunk")
+
+        out += (
+            b"EXIF"
+            + struct.pack("<I", len(exif_payload))
+            + exif_payload
+            + (b"\x00" * (len(exif_payload) % 2))
+        )
+        out[4:8] = struct.pack("<I", len(out) - 8)
+        return bytes(out)
+
     @staticmethod
     def remove_recipe_metadata(user_comment):
         """Remove recipe metadata from user comment"""

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "1.2.1"
+version = "1.2.2"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",

static/css/base.css

@@ -31,9 +31,14 @@ body {
     --header-height: 48px;
     --scrollbar-width: 8px;
 
-    --shortcut-bg: var(--color-accent-subtle);
-    --shortcut-border: var(--color-accent-border);
-    --shortcut-text: var(--text-primary);
+    /* Neutral "keycap" style for keyboard shortcut hints (GitHub/Linear-like).
+       Derived from --text-muted so it adapts to every theme/preset. */
+    --shortcut-bg: color-mix(in oklch, var(--text-muted) 10%, transparent);
+    --shortcut-bg-hover: color-mix(in oklch, var(--text-muted) 16%, transparent);
+    --shortcut-border: color-mix(in oklch, var(--text-muted) 30%, transparent);
+    --shortcut-border-hover: color-mix(in oklch, var(--text-muted) 45%, transparent);
+    --shortcut-text: var(--text-muted);
+    --shortcut-shadow: 0 1.5px 0 color-mix(in oklch, var(--text-muted) 30%, transparent);
 
     --lora-accent-transparent: var(--color-accent-transparent);
 

static/css/components/header.css

@@ -249,10 +249,10 @@
   font-family: inherit;
   font-size: 0.68rem;
   font-weight: 500;
-  color: var(--text-muted);
-  /* Subtle tint derived from text color so it adapts to both light & dark themes */
-  background: color-mix(in oklch, var(--text-muted) 12%, transparent);
-  border: 1px solid color-mix(in oklch, var(--text-muted) 25%, transparent);
+  color: var(--shortcut-text);
+  background: var(--shortcut-bg);
+  border: 1px solid var(--shortcut-border);
+  box-shadow: var(--shortcut-shadow);
   border-radius: var(--border-radius-xs, 3px);
   line-height: 1;
 }

static/css/components/lora-modal/preset-tags.css

@@ -65,4 +65,13 @@
 
 .add-preset-btn:hover {
   opacity: 0.9;
+}
+
+.add-preset-btn:disabled {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.add-preset-btn:hover:disabled {
+  opacity: 0.5;
 }

static/css/components/lora-modal/showcase.css

@@ -115,6 +115,9 @@
   position: relative;
   overflow: hidden;
   border-radius: var(--border-radius-sm);
+  /* Horizontal touch pans are claimed for swipe navigation (ShowcaseView);
+     vertical pans still scroll the modal */
+  touch-action: pan-y;
 }
 
 .main-media-container {
@@ -134,6 +137,32 @@
   margin-bottom: 0;
 }
 
+/* Direction-aware slide on example switches (set by updateMainDisplay) */
+.main-media-container.slide-from-right .media-wrapper {
+  animation: gallery-slide-from-right 0.25s ease;
+}
+
+.main-media-container.slide-from-left .media-wrapper {
+  animation: gallery-slide-from-left 0.25s ease;
+}
+
+@keyframes gallery-slide-from-right {
+  from { transform: translateX(32px); opacity: 0; }
+  to { transform: translateX(0); opacity: 1; }
+}
+
+@keyframes gallery-slide-from-left {
+  from { transform: translateX(-32px); opacity: 0; }
+  to { transform: translateX(0); opacity: 1; }
+}
+
+@media (prefers-reduced-motion: reduce) {
+  .main-media-container.slide-from-right .media-wrapper,
+  .main-media-container.slide-from-left .media-wrapper {
+    animation: none;
+  }
+}
+
 .main-media-container .media-wrapper img,
 .main-media-container .media-wrapper video {
   position: absolute;

static/css/components/modal/_base.css

@@ -13,6 +13,16 @@
     overflow: auto; /* Change from hidden to auto to allow scrolling */
 }
 
+/* Software-rendering fallback (set by applyModalBackdropBlurPolicy): a
+   full-viewport backdrop-filter forces per-frame CPU rasterization of
+   everything behind the modal and freezes the browser (issue #1092) */
+html.no-modal-backdrop-blur .modal,
+html.no-modal-backdrop-blur .delete-modal,
+html.no-modal-backdrop-blur .batch-preview-select-all {
+    backdrop-filter: none;
+    -webkit-backdrop-filter: none;
+}
+
 /* Prevent body scroll when modal is open */
 body.modal-open {
     position: fixed;

static/css/components/modal/download-modal.css

@@ -921,8 +921,8 @@
     position: sticky;
     top: 0;
     z-index: 1;
-    backdrop-filter: blur(8px);
-    -webkit-backdrop-filter: blur(8px);
+    backdrop-filter: blur(var(--modal-backdrop-blur, 6px));
+    -webkit-backdrop-filter: blur(var(--modal-backdrop-blur, 6px));
 }
 
 .batch-preview-select-all input[type="checkbox"] {

static/css/components/modal/help-modal.css

@@ -167,6 +167,29 @@
   box-shadow: var(--shadow-lg);
 }
 
+/* Replay Tutorial button: badge hidden until the button is flagged as new content */
+.replay-tutorial-btn .new-content-badge {
+  display: none;
+  background-color: rgba(255, 255, 255, 0.22);
+  color: #fff;
+  box-shadow: none;
+  margin-left: 2px;
+}
+
+.replay-tutorial-btn.has-new-content .new-content-badge {
+  display: inline-flex;
+}
+
+/* One-time attention pulse when the button is flagged as new content */
+@keyframes new-content-glow {
+  0% { box-shadow: 0 0 0 0 oklch(from var(--lora-accent) l c h / 55%); }
+  100% { box-shadow: 0 0 0 16px transparent; }
+}
+
+.replay-tutorial-btn.has-new-content {
+  animation: new-content-glow 1.2s ease-out 3;
+}
+
 /* Update video list styles */
 .video-list {
   display: flex;
@@ -304,4 +327,87 @@
 /* Dark theme adjustments */
 [data-theme="dark"] .video-container {
   background-color: var(--surface-hover);
-}
+}
+/* Replay tutorial button styles */
+.help-actions {
+  margin-top: var(--space-3);
+}
+
+.replay-tutorial-btn {
+  display: inline-flex;
+  align-items: center;
+  gap: 8px;
+  padding: 10px 20px;
+  border-radius: var(--border-radius-sm);
+  font-weight: 500;
+  cursor: pointer;
+  transition: var(--transition-base);
+  background-color: var(--lora-accent);
+  color: white;
+  border: none;
+}
+
+.replay-tutorial-btn:hover {
+  background-color: oklch(from var(--lora-accent) l c h / 85%);
+}
+
+/* Shortcuts tab styles */
+.shortcuts-section {
+  margin-bottom: var(--space-3);
+}
+
+.shortcuts-section h4 {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  margin-bottom: var(--space-1);
+}
+
+.shortcuts-list {
+  list-style-type: none;
+  padding-left: var(--space-3);
+}
+
+.shortcuts-list li {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  margin-bottom: var(--space-1);
+}
+
+.shortcut-keys {
+  display: inline-flex;
+  align-items: center;
+  gap: 2px;
+  flex-shrink: 0;
+  min-width: 150px;
+}
+
+.shortcut-sep {
+  color: var(--text-muted);
+  font-size: 0.75rem;
+  margin: 0 1px;
+}
+
+.shortcuts-list kbd {
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+  min-width: 18px;
+  height: 18px;
+  padding: 0 4px;
+  font-family: inherit;
+  font-size: 0.68rem;
+  font-weight: 500;
+  color: var(--shortcut-text);
+  background: var(--shortcut-bg);
+  border: 1px solid var(--shortcut-border);
+  box-shadow: var(--shortcut-shadow);
+  border-radius: var(--border-radius-xs, 3px);
+  line-height: 1;
+}
+
+.shortcut-description {
+  font-size: 0.9em;
+  opacity: 0.85;
+}

static/css/components/recipe-modal.css

@@ -1547,3 +1547,93 @@
     width: 20px;
     height: calc(1em * 1.3);
 }
+
+/* Meta footer: de-emphasized location + recipe ID line below the modal body,
+   mirroring the hash footnote in the shared model modal. Location sits left
+   (tail of the path survives truncation), ID + copy button sit right. */
+.recipe-meta-footer {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    gap: 12px;
+    padding-top: 6px;
+    margin-top: 8px;
+    border-top: 1px solid var(--border-color);
+    font-size: 0.75em;
+    color: var(--text-muted);
+}
+
+.recipe-meta-footer[hidden] {
+    display: none;
+}
+
+.recipe-meta-location {
+    display: inline-flex;
+    align-items: center;
+    gap: 6px;
+    min-width: 0;
+    cursor: pointer;
+}
+
+.recipe-meta-location i {
+    flex-shrink: 0;
+    opacity: 0.6;
+}
+
+.recipe-meta-location-path {
+    font-family: var(--font-mono, monospace);
+    opacity: 0.7;
+    white-space: nowrap;
+    overflow: hidden;
+    text-overflow: ellipsis;
+}
+
+.recipe-meta-location:hover .recipe-meta-location-path,
+.recipe-meta-location:focus-visible .recipe-meta-location-path {
+    opacity: 1;
+    text-decoration: underline;
+}
+
+.recipe-meta-location:focus-visible {
+    outline: 1px solid var(--lora-accent);
+    outline-offset: 2px;
+    border-radius: var(--border-radius-xs);
+}
+
+.recipe-meta-id {
+    display: inline-flex;
+    align-items: center;
+    gap: 6px;
+    flex-shrink: 0;
+}
+
+.recipe-meta-id-label {
+    font-size: 0.9em;
+    opacity: 0.5;
+    text-transform: uppercase;
+    letter-spacing: 0.03em;
+}
+
+.recipe-meta-id-value {
+    font-family: var(--font-mono, monospace);
+    opacity: 0.7;
+    white-space: nowrap;
+}
+
+.recipe-meta-copy-btn {
+    display: inline-flex;
+    align-items: center;
+    justify-content: center;
+    padding: 0 2px;
+    border: none;
+    background: none;
+    color: var(--text-muted);
+    opacity: 0.35;
+    font-size: 0.95em;
+    cursor: pointer;
+    flex-shrink: 0;
+}
+
+.recipe-meta-copy-btn:hover {
+    opacity: 0.9;
+}

static/css/components/toast.css

@@ -174,7 +174,7 @@
     z-index: var(--z-toast);
     display: flex;
     flex-direction: column;
-    align-items: flex-end;
+    /* No align-items (defaults to stretch) so every toast shares one equal width */
     gap: 10px;
     padding: 8px 20px 0; /* Small breathing room below the header */
     pointer-events: none; /* Allow clicking through the container */

static/css/layout.css

@@ -25,6 +25,23 @@
     box-shadow: var(--shadow-xs);
 }
 
+/* Wrapper around the controls bar and breadcrumb nav. With the sticky-controls
+   setting off it is transparent to layout (display: contents), preserving the
+   original behavior (only the breadcrumb stays visible). When enabled, the whole
+   wrapper sticks as one unit so the two bars can never drift apart. */
+.sticky-topbar {
+    display: contents;
+}
+
+body.sticky-controls .sticky-topbar {
+    display: block;
+    position: sticky;
+    top: 0;
+    z-index: calc(var(--z-header) - 1);
+    background: var(--bg-color);
+    box-shadow: var(--shadow-xs);
+}
+
 /* Responsive container for larger screens */
 @media (min-width: 2150px) {
     .container {
@@ -201,36 +218,42 @@
     display: inline-flex;
     align-items: center;
     justify-content: center;
-    margin-left: 6px;
     min-width: 16px;
     height: 16px;
-    padding: 0 3px;
-    font-size: 11px;
-    font-weight: 600;
+    padding: 0 4px;
+    font-size: 10px;
+    font-weight: 500;
     line-height: 1;
+    text-transform: uppercase;
     border-radius: var(--border-radius-xs);
     background-color: var(--shortcut-bg);
     border: 1px solid var(--shortcut-border);
     color: var(--shortcut-text);
-    vertical-align: middle;
     opacity: 0.8;
     transition: var(--transition-base);
 }
 
 .control-group button:hover .shortcut-key {
     opacity: 1;
-    background-color: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.2);
+    background-color: var(--shortcut-bg-hover);
+    border-color: var(--shortcut-border-hover);
 }
 
-[data-theme="dark"] .shortcut-key {
-    --shortcut-bg: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.15);
-    --shortcut-border: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.3);
+/* Invert the keycap on active (accent-filled) buttons for contrast.
+   Must come after the hover rule above so it wins on active+hover. */
+.control-group button.active .shortcut-key,
+.control-group button.active:hover .shortcut-key {
+    color: var(--lora-accent);
+    background: rgba(255, 255, 255, 0.92);
+    border-color: transparent;
+    opacity: 1;
 }
 
 /* Ensure correct vertical alignment for text+shortcut */
 .control-group button span {
     display: inline-flex;
     align-items: center;
+    gap: 6px;
 }
 
 /* Select dropdown styling */

static/css/onboarding.css

@@ -205,6 +205,7 @@
     display: inline-block;
     background: var(--shortcut-bg);
     border: 1px solid var(--shortcut-border);
+    box-shadow: var(--shortcut-shadow);
     border-radius: var(--border-radius-xs);
     padding: 2px 6px;
     font-size: 0.8em;

static/js/api/baseModelApi.js

@@ -12,6 +12,11 @@ import {
 } from './apiConfig.js';
 import { resetAndReload } from './modelApiFactory.js';
 import { sidebarManager } from '../components/SidebarManager.js';
+// Shared scan ETA helpers live in a dependency-light module so pages that do
+// not use BaseModelApiClient (e.g. recipes) can reuse them without pulling
+// this module's import cycle (modelApiFactory -> loraApi -> baseModelApi).
+import { createScanEtaTracker, formatScanRemainingTime } from '../utils/scanEtaUtils.js';
+export { createScanEtaTracker, formatScanRemainingTime };
 
 /**
  * Abstract base class for all model API clients
@@ -507,23 +512,67 @@ export class BaseModelApiClient {
 
     async refreshModels(fullRebuild = false) {
         const abortController = new AbortController();
-        try {
-            state.loadingManager.show(
-                `${fullRebuild ? 'Full rebuild' : 'Refreshing'} ${this.apiConfig.config.displayName}s...`,
-                0
+        const displayName = this.apiConfig.config.displayName;
+        const singularName = this.apiConfig.config.singularName;
+        const actionText = translate(
+            fullRebuild ? 'common.scanProgress.actionFullRebuild' : 'common.scanProgress.actionRefresh',
+            {},
+            fullRebuild ? 'Full rebuild' : 'Refresh'
+        );
+        const actionLowerText = translate(
+            fullRebuild ? 'common.scanProgress.actionRebuildLower' : 'common.scanProgress.actionRefreshLower',
+            {},
+            fullRebuild ? 'rebuild' : 'refresh'
+        );
+        const initialMessage = translate(
+            fullRebuild ? 'common.scanProgress.fullRebuilding' : 'common.scanProgress.refreshing',
+            { type: displayName },
+            `${fullRebuild ? 'Full rebuild' : 'Refreshing'} ${displayName}s...`
+        );
+        const etaTracker = createScanEtaTracker();
+        let ws = null;
+
+        const handleScanProgress = (data) => {
+            if (typeof data.progress === 'number') {
+                state.loadingManager.setProgress(data.progress);
+            }
+            let statusText = translate(
+                `common.scanProgress.stages.${data.stage}`,
+                { total: data.total },
+                data.stage || ''
             );
+            if (data.status === 'processing' && data.total > 0) {
+                statusText += ` (${data.processed}/${data.total})`;
+                if (data.current_name) {
+                    statusText += ` ${data.current_name}`;
+                }
+                const etaText = etaTracker.update(data.processed, data.total);
+                if (etaText) {
+                    statusText += ` | ${etaText}`;
+                }
+            }
+            state.loadingManager.setStatus(statusText);
+        };
+
+        try {
+            state.loadingManager.show(initialMessage, 0);
             state.loadingManager.showCancelButton(() => {
                 this.cancelTask();
                 abortController.abort();
             });
 
+            // Connect to the shared progress channel for live scan updates.
+            // Failure to connect must not block the refresh itself — fall back
+            // to the plain loading indicator.
+            ws = await this._connectScanProgressSocket(handleScanProgress, singularName);
+
             const url = new URL(this.apiConfig.endpoints.scan, window.location.origin);
             url.searchParams.append('full_rebuild', fullRebuild);
 
             const response = await fetch(url, { signal: abortController.signal });
 
             if (!response.ok) {
-                throw new Error(`Failed to refresh ${this.apiConfig.config.displayName}s: ${response.status} ${response.statusText}`);
+                throw new Error(`Failed to refresh ${displayName}s: ${response.status} ${response.statusText}`);
             }
 
             const data = await response.json();
@@ -534,20 +583,69 @@ export class BaseModelApiClient {
 
             resetAndReload(true);
 
-            showToast('toast.api.refreshComplete', { action: fullRebuild ? 'Full rebuild' : 'Refresh' }, 'success');
+            showToast('toast.api.refreshComplete', { action: actionText }, 'success');
         } catch (error) {
             if (error.name === 'AbortError') {
                 showToast('toast.api.operationCancelled', {}, 'info');
                 return;
             }
             console.error('Refresh failed:', error);
-            showToast('toast.api.refreshFailed', { action: fullRebuild ? 'rebuild' : 'refresh', type: this.apiConfig.config.displayName }, 'error');
+            showToast('toast.api.refreshFailed', { action: actionLowerText, type: displayName }, 'error');
         } finally {
+            if (ws) {
+                ws.close();
+            }
             state.loadingManager.hide();
             state.loadingManager.restoreProgressBar();
         }
     }
 
+    /**
+     * Connect to the shared fetch-progress WebSocket for scan progress updates.
+     * Returns null when the connection cannot be established (silent fallback).
+     * @param {Function} onScanProgress - Handler for scan_progress messages
+     * @param {string} singularName - Model type filter (e.g. 'lora')
+     * @returns {Promise<WebSocket|null>}
+     */
+    async _connectScanProgressSocket(onScanProgress, singularName) {
+        let socket = null;
+        try {
+            const wsProtocol = window.location.protocol === 'https:' ? 'wss://' : 'ws://';
+            socket = new WebSocket(`${wsProtocol}${window.location.host}${WS_ENDPOINTS.fetchProgress}`);
+
+            await new Promise((resolve, reject) => {
+                socket.onopen = resolve;
+                socket.onerror = reject;
+            });
+
+            socket.onmessage = (event) => {
+                let data;
+                try {
+                    data = JSON.parse(event.data);
+                } catch (parseError) {
+                    return;
+                }
+                // Only handle scan progress for this client's model type;
+                // other operations share this channel and must be ignored.
+                if (data.type !== 'scan_progress' || data.model_type !== singularName) {
+                    return;
+                }
+                onScanProgress(data);
+            };
+
+            return socket;
+        } catch (error) {
+            if (socket) {
+                try {
+                    socket.close();
+                } catch (closeError) {
+                    // Ignore close errors during fallback
+                }
+            }
+            return null;
+        }
+    }
+
     async refreshSingleModelMetadata(filePath) {
         try {
             state.loadingManager.showSimpleLoading('Refreshing metadata...');
@@ -605,6 +703,9 @@ export class BaseModelApiClient {
                     ws.onmessage = (event) => {
                         const data = JSON.parse(event.data);
 
+                        // Scan progress shares this channel; it is handled by refreshModels
+                        if (data.type === 'scan_progress') return;
+
                         switch (data.status) {
                             case 'started':
                                 loading.setStatus('Starting metadata fetch...');

static/js/api/recipeApi.js

@@ -1,7 +1,12 @@
 import { RecipeCard } from '../components/RecipeCard.js';
 import { state, getCurrentPageState } from '../state/index.js';
 import { showToast } from '../utils/uiHelpers.js';
+import { translate } from '../utils/i18nHelpers.js';
 import { captureScrollPosition, restoreScrollPosition } from '../utils/infiniteScroll.js';
+import { WS_ENDPOINTS } from './apiConfig.js';
+// Import from the dependency-light utils module, not baseModelApi.js, to
+// avoid the baseModelApi <-> modelApiFactory import cycle on this page.
+import { createScanEtaTracker } from '../utils/scanEtaUtils.js';
 
 const RECIPE_ENDPOINTS = {
     list: '/api/lm/recipes',
@@ -15,7 +20,6 @@ const RECIPE_ENDPOINTS = {
     move: '/api/lm/recipe/move',
     moveBulk: '/api/lm/recipes/move-bulk',
     bulkDelete: '/api/lm/recipes/bulk-delete',
-    repairBulk: '/api/lm/recipes/repair-bulk',
     rematchBulk: '/api/lm/recipes/rematch-bulk',
     rematchSingle: '/api/lm/recipe/{recipe_id}/rematch',
 };
@@ -333,11 +337,53 @@ export async function syncChanges() {
 }
 
 export async function refreshRecipes(fullRebuild = true) {
-    const actionLabel = fullRebuild ? 'Rebuilding recipe cache' : 'Refreshing recipes';
-    const actionToast = fullRebuild ? 'Full rebuild' : 'Refresh';
+    const actionText = translate(
+        fullRebuild ? 'common.scanProgress.actionFullRebuild' : 'common.scanProgress.actionRefresh',
+        {},
+        fullRebuild ? 'Full rebuild' : 'Refresh'
+    );
+    const actionLowerText = translate(
+        fullRebuild ? 'common.scanProgress.actionRebuildLower' : 'common.scanProgress.actionRefreshLower',
+        {},
+        fullRebuild ? 'rebuild' : 'refresh'
+    );
+    const initialMessage = translate(
+        fullRebuild ? 'common.scanProgress.fullRebuilding' : 'common.scanProgress.refreshing',
+        { type: RECIPE_SIDEBAR_CONFIG.config.displayName },
+        `${fullRebuild ? 'Full rebuild' : 'Refreshing'} Recipes...`
+    );
+    const etaTracker = createScanEtaTracker();
+    let ws = null;
+
+    const handleScanProgress = (data) => {
+        if (typeof data.progress === 'number') {
+            state.loadingManager.setProgress(data.progress);
+        }
+        let statusText = translate(
+            `common.scanProgress.stages.${data.stage}`,
+            { total: data.total },
+            data.stage || ''
+        );
+        if (data.status === 'processing' && data.total > 0) {
+            statusText += ` (${data.processed}/${data.total})`;
+            if (data.current_name) {
+                statusText += ` ${data.current_name}`;
+            }
+            const etaText = etaTracker.update(data.processed, data.total);
+            if (etaText) {
+                statusText += ` | ${etaText}`;
+            }
+        }
+        state.loadingManager.setStatus(statusText);
+    };
 
     try {
-        state.loadingManager.show(`${actionLabel}...`, 0);
+        state.loadingManager.show(initialMessage, 0);
+
+        // Connect to the shared progress channel for live scan updates.
+        // Failure to connect must not block the refresh itself — fall back
+        // to the plain loading indicator.
+        ws = await connectScanProgressSocket(handleScanProgress);
 
         const url = new URL(RECIPE_ENDPOINTS.scan, window.location.origin);
         url.searchParams.append('full_rebuild', fullRebuild);
@@ -356,16 +402,64 @@ export async function refreshRecipes(fullRebuild = true) {
 
         await resetAndReload(false);
 
-        showToast('toast.api.refreshComplete', { action: actionToast }, 'success');
+        showToast('toast.api.refreshComplete', { action: actionText }, 'success');
     } catch (error) {
         console.error('Error refreshing recipes:', error);
-        showToast('toast.api.refreshFailed', { action: fullRebuild ? 'rebuild' : 'refresh', type: 'recipe' }, 'error');
+        showToast('toast.api.refreshFailed', { action: actionLowerText, type: 'recipe' }, 'error');
     } finally {
+        if (ws) {
+            ws.close();
+        }
         state.loadingManager.hide();
         state.loadingManager.restoreProgressBar();
     }
 }
 
+/**
+ * Connect to the shared fetch-progress WebSocket for recipe scan progress.
+ * Returns null when the connection cannot be established (silent fallback).
+ * @param {Function} onScanProgress - Handler for scan_progress messages
+ * @returns {Promise<WebSocket|null>}
+ */
+async function connectScanProgressSocket(onScanProgress) {
+    let socket = null;
+    try {
+        const wsProtocol = window.location.protocol === 'https:' ? 'wss://' : 'ws://';
+        socket = new WebSocket(`${wsProtocol}${window.location.host}${WS_ENDPOINTS.fetchProgress}`);
+
+        await new Promise((resolve, reject) => {
+            socket.onopen = resolve;
+            socket.onerror = reject;
+        });
+
+        socket.onmessage = (event) => {
+            let data;
+            try {
+                data = JSON.parse(event.data);
+            } catch (parseError) {
+                return;
+            }
+            // Only handle recipe scan progress; other operations share this
+            // channel and must be ignored.
+            if (data.type !== 'scan_progress' || data.model_type !== 'recipe') {
+                return;
+            }
+            onScanProgress(data);
+        };
+
+        return socket;
+    } catch (error) {
+        if (socket) {
+            try {
+                socket.close();
+            } catch (closeError) {
+                // Ignore close errors during fallback
+            }
+        }
+        return null;
+    }
+}
+
 /**
  * Load more recipes with pagination - updated to work with VirtualScroller
  * @param {boolean} resetPage - Whether to reset to the first page
@@ -583,38 +677,6 @@ export class RecipeSidebarApiClient {
         };
     }
 
-    async repairBulkModels(filePaths) {
-        if (!filePaths || filePaths.length === 0) {
-            throw new Error('No file paths provided');
-        }
-
-        const recipeIds = filePaths
-            .map((path) => extractRecipeId(path))
-            .filter((id) => !!id);
-
-        if (recipeIds.length === 0) {
-            throw new Error('No recipe IDs could be derived from file paths');
-        }
-
-        const response = await fetch(this.apiConfig.endpoints.repairBulk, {
-            method: 'POST',
-            headers: {
-                'Content-Type': 'application/json',
-            },
-            body: JSON.stringify({
-                recipe_ids: recipeIds,
-            }),
-        });
-
-        const result = await response.json();
-
-        if (!response.ok || !result.success) {
-            throw new Error(result.error || 'Failed to repair recipes');
-        }
-
-        return result;
-    }
-
     async rematchBulkModels(filePaths) {
         if (!filePaths || filePaths.length === 0) {
             throw new Error('No file paths provided');

static/js/checkpoints.js

@@ -3,6 +3,7 @@ import { confirmDelete, closeDeleteModal, confirmExclude, closeExcludeModal } fr
 import { createPageControls } from './components/controls/index.js';
 import { ModelDuplicatesManager } from './components/ModelDuplicatesManager.js';
 import { MODEL_TYPES } from './api/apiConfig.js';
+import { initActiveFiltersSync } from './utils/activeFiltersSync.js';
 
 // Initialize the Checkpoints page
 export class CheckpointsPageManager {
@@ -32,6 +33,9 @@ export class CheckpointsPageManager {
         // Initialize common page features (including context menus)
         appCore.initializePageFeatures();
 
+        // Mirror active filters to the backend for the ComfyUI-side autocomplete
+        initActiveFiltersSync(MODEL_TYPES.CHECKPOINT);
+
         console.log('Checkpoints Manager initialized');
     }
 }

static/js/components/ContextMenu/BulkContextMenu.js

@@ -41,13 +41,9 @@ export class BulkContextMenu extends BaseContextMenu {
         const autoOrganizeItem = this.menu.querySelector('[data-action="auto-organize"]');
         const deleteAllItem = this.menu.querySelector('[data-action="delete-all"]');
         const downloadMissingLorasItem = this.menu.querySelector('[data-action="download-missing-loras"]');
-        const repairMetadataItem = this.menu.querySelector('[data-action="repair-metadata"]');
         const reimportMetadataItem = this.menu.querySelector('[data-action="reimport-metadata"]');
         const rematchMetadataItem = this.menu.querySelector('[data-action="rematch-metadata"]');
 
-        if (repairMetadataItem) {
-            repairMetadataItem.style.display = config.repairMetadata ? 'flex' : 'none';
-        }
         if (reimportMetadataItem) {
             reimportMetadataItem.style.display = config.reimportMetadata ? 'flex' : 'none';
         }
@@ -283,9 +279,6 @@ export class BulkContextMenu extends BaseContextMenu {
             case 'delete-all':
                 bulkManager.showBulkDeleteModal();
                 break;
-            case 'repair-metadata':
-                bulkManager.repairSelectedRecipes();
-                break;
             case 'rematch-metadata':
                 bulkManager.rematchSelectedRecipes();
                 break;

static/js/components/ContextMenu/GlobalContextMenu.js

@@ -23,7 +23,6 @@ export class GlobalContextMenu extends BaseContextMenu {
         const downloadExamplesItem = this.menu.querySelector('[data-action="download-example-images"]');
         const cleanupExamplesItem = this.menu.querySelector('[data-action="cleanup-example-images-folders"]');
         const excludedModelsItem = this.menu.querySelector('[data-action="manage-excluded-models"]');
-        const repairRecipesItem = this.menu.querySelector('[data-action="repair-recipes"]');
         const rematchRecipesItem = this.menu.querySelector('[data-action="rematch-recipes"]');
         const groupByModelItem = this.menu.querySelector('[data-action="toggle-group-by-model"]');
         const groupByModelCheck = groupByModelItem?.querySelector('.check-indicator');
@@ -41,7 +40,6 @@ export class GlobalContextMenu extends BaseContextMenu {
             cleanupExamplesItem?.classList.add('hidden');
             excludedModelsItem?.classList.add('hidden');
             groupByModelItem?.classList.add('hidden');
-            repairRecipesItem?.classList.remove('hidden');
             rematchRecipesItem?.classList.remove('hidden');
         } else {
             modelUpdateItem?.classList.remove('hidden');
@@ -50,7 +48,6 @@ export class GlobalContextMenu extends BaseContextMenu {
             cleanupExamplesItem?.classList.remove('hidden');
             excludedModelsItem?.classList.remove('hidden');
             groupByModelItem?.classList.remove('hidden');
-            repairRecipesItem?.classList.add('hidden');
             rematchRecipesItem?.classList.add('hidden');
         }
 
@@ -95,11 +92,6 @@ export class GlobalContextMenu extends BaseContextMenu {
                     console.error('Failed to refresh missing license metadata:', error);
                 });
                 break;
-            case 'repair-recipes':
-                this.repairRecipes(menuItem).catch((error) => {
-                    console.error('Failed to repair recipes:', error);
-                });
-                break;
             case 'rematch-recipes':
                 this.rematchRecipes(menuItem).catch((error) => {
                     console.error('Failed to rematch recipes:', error);
@@ -371,99 +363,6 @@ export class GlobalContextMenu extends BaseContextMenu {
         return `${displayName}s`;
     }
 
-    async repairRecipes(menuItem) {
-        if (this._repairInProgress) {
-            return;
-        }
-
-        this._repairInProgress = true;
-        menuItem?.classList.add('disabled');
-
-        const loadingMessage = translate(
-            'globalContextMenu.repairRecipes.loading',
-            {},
-            'Repairing recipe data...'
-        );
-
-        const progressUI = state.loadingManager?.showEnhancedProgress(loadingMessage);
-        progressUI?.showCancelButton(() => this.cancelRepair());
-
-        try {
-            const response = await fetch('/api/lm/recipes/repair', {
-                method: 'POST',
-                headers: { 'Content-Type': 'application/json' },
-            });
-
-            const result = await response.json();
-            if (!response.ok || !result.success) {
-                throw new Error(result.error || 'Failed to start repair');
-            }
-
-            // Poll for progress (or wait for WebSocket if preferred, but polling is simpler for this implementation)
-            let isComplete = false;
-            while (!isComplete && this._repairInProgress) {
-                const progressResponse = await fetch('/api/lm/recipes/repair-progress');
-                if (progressResponse.ok) {
-                    const progressResult = await progressResponse.json();
-                    if (progressResult.success && progressResult.progress) {
-                        const p = progressResult.progress;
-                        if (p.status === 'processing') {
-                            const percent = (p.current / p.total) * 100;
-                            progressUI?.updateProgress(percent, p.recipe_name, `${loadingMessage} (${p.current}/${p.total})`);
-                        } else if (p.status === 'completed') {
-                            isComplete = true;
-                            progressUI?.complete(translate(
-                                'globalContextMenu.repairRecipes.success',
-                                { count: p.repaired },
-                                `Repaired ${p.repaired} recipes.`
-                            ));
-                            showToast('globalContextMenu.repairRecipes.success', { count: p.repaired }, 'success');
-                            // Refresh recipes page if active
-                            if (window.recipesPage) {
-                                window.recipesPage.refresh();
-                            }
-                        } else if (p.status === 'error') {
-                            throw new Error(p.error || 'Repair failed');
-                        } else if (p.status === 'cancelled') {
-                            isComplete = true;
-                            progressUI?.complete(translate(
-                                'globalContextMenu.repairRecipes.cancelled',
-                                { count: p.repaired },
-                                `Repair cancelled. ${p.repaired} recipes were repaired.`
-                            ));
-                            showToast('globalContextMenu.repairRecipes.cancelled', { count: p.repaired }, 'info');
-                        }
-                    } else if (progressResponse.status === 404) {
-                        // Progress might have finished quickly and been cleaned up
-                        isComplete = true;
-                        progressUI?.complete();
-                    }
-                }
-
-                if (!isComplete) {
-                    await new Promise(resolve => setTimeout(resolve, 1000));
-                }
-            }
-        } catch (error) {
-            console.error('Recipe repair failed:', error);
-            progressUI?.complete(translate('globalContextMenu.repairRecipes.error', { message: error.message }, 'Repair failed: {message}'));
-            showToast('globalContextMenu.repairRecipes.error', { message: error.message }, 'error');
-        } finally {
-            this._repairInProgress = false;
-            menuItem?.classList.remove('disabled');
-        }
-    }
-
-    async cancelRepair() {
-        try {
-            await fetch('/api/lm/recipes/cancel-repair', {
-                method: 'POST',
-            });
-        } catch (error) {
-            console.error('Failed to cancel recipe repair:', error);
-        }
-    }
-
     async rematchRecipes(menuItem) {
         if (this._rematchInProgress) {
             return;

static/js/components/ContextMenu/RecipeContextMenu.js

@@ -6,6 +6,7 @@ import { setSessionItem, removeSessionItem } from '../../utils/storageHelpers.js
 import { updateRecipeMetadata } from '../../api/recipeApi.js';
 import { state } from '../../state/index.js';
 import { moveManager } from '../../managers/MoveManager.js';
+import { probeExtension, delegateReimport, getCivitaiImageInfo } from '../../utils/extensionReimportBridge.js';
 
 export class RecipeContextMenu extends BaseContextMenu {
     constructor() {
@@ -93,10 +94,6 @@ export class RecipeContextMenu extends BaseContextMenu {
                 // Download missing LoRAs
                 this.downloadMissingLoRAs(recipeId);
                 break;
-            case 'repair':
-                // Repair recipe metadata
-                this.repairRecipe(recipeId);
-                break;
             case 'rematch':
                 // Rematch recipe resources to local models
                 this.rematchRecipe(recipeId);
@@ -297,44 +294,6 @@ export class RecipeContextMenu extends BaseContextMenu {
         }
     }
 
-    // Repair recipe metadata
-    async repairRecipe(recipeId) {
-        if (!recipeId) {
-            showToast('recipes.contextMenu.repair.missingId', {}, 'error');
-            return;
-        }
-
-        try {
-            showToast('recipes.contextMenu.repair.starting', {}, 'info');
-
-            const response = await fetch(`/api/lm/recipe/${recipeId}/repair`, {
-                method: 'POST'
-            });
-            const result = await response.json();
-
-            if (result.success) {
-                if (result.repaired > 0) {
-                    showToast('recipes.contextMenu.repair.success', {}, 'success');
-                    const detailResponse = await fetch(`/api/lm/recipe/${recipeId}`);
-                    if (detailResponse.ok) {
-                        const updatedRecipe = await detailResponse.json();
-                        const filePath = this.currentCard?.dataset?.filepath;
-                        if (filePath && state.virtualScroller) {
-                            state.virtualScroller.updateSingleItem(filePath, updatedRecipe);
-                        }
-                    }
-                } else {
-                    showToast('recipes.contextMenu.repair.skipped', {}, 'info');
-                }
-            } else {
-                throw new Error(result.error || 'Repair failed');
-            }
-        } catch (error) {
-            console.error('Error repairing recipe:', error);
-            showToast('recipes.contextMenu.repair.failed', { message: error.message }, 'error');
-        }
-    }
-
     async rematchRecipe(recipeId) {
         if (!recipeId) {
             showToast('toast.recipes.rematchFailed', { message: 'Missing recipe ID' }, 'error');
@@ -397,6 +356,24 @@ export class RecipeContextMenu extends BaseContextMenu {
             return;
         }
 
+        // Recipes imported from a CivitAI image page can carry incomplete
+        // metadata (0 LoRAs); the companion browser extension can re-import
+        // them with the full page data. Fall back to the native path whenever
+        // the extension is absent, unlicensed, or the delegation fails.
+        const recipeItem = state.virtualScroller?.items?.find(item => item?.id === recipeId);
+        const civitaiImage = getCivitaiImageInfo(recipeItem?.source_path);
+        if (civitaiImage) {
+            try {
+                const probe = await probeExtension();
+                if (probe?.supported && probe?.licenseValid) {
+                    await this.reimportViaExtension(recipeId, civitaiImage, recipeItem?.title || '');
+                    return;
+                }
+            } catch (error) {
+                console.warn('Extension re-import unavailable, using native path:', error);
+            }
+        }
+
         state.loadingManager.showSimpleLoading('Re-importing recipe from source...');
 
         try {
@@ -419,6 +396,34 @@ export class RecipeContextMenu extends BaseContextMenu {
             showToast('recipes.contextMenu.reimport.failed', { message: error.message }, 'error');
         }
     }
+
+    // Re-import a single CivitAI-image recipe through the companion browser
+    // extension. Throws on delegation failure so the caller can fall back to
+    // the native path.
+    async reimportViaExtension(recipeId, civitaiImage, title) {
+        state.loadingManager.showSimpleLoading('Re-importing recipe via browser extension...');
+
+        try {
+            const { failed } = await delegateReimport([{
+                recipeId,
+                imageId: civitaiImage.imageId,
+                imageUrl: civitaiImage.imageUrl,
+                title,
+            }]);
+
+            state.loadingManager.hide();
+            if (failed > 0) {
+                showToast('recipes.contextMenu.reimport.failed', { message: 'Extension re-import failed' }, 'error');
+            } else {
+                showToast('toast.recipes.reimportSuccess', {}, 'success');
+            }
+            const { resetAndReload } = await import('../../api/recipeApi.js');
+            resetAndReload(false, { preserveScroll: false });
+        } catch (error) {
+            state.loadingManager.hide();
+            throw error;
+        }
+    }
 }
 
 // Mix in shared methods from ModelContextMenuMixin

static/js/components/RecipeModal.js

@@ -10,7 +10,7 @@ import { downloadManager } from '../managers/DownloadManager.js';
 import { MODEL_TYPES } from '../api/apiConfig.js';
 import { openMediaViewer } from './shared/MediaViewer.js';
 import { showRecipeDeleteConfirmation } from './RecipeCard.js';
-import { renderCompactTags, setupTagTooltip } from './shared/utils.js';
+import { renderCompactTags, setupTagTooltip, escapeAttribute } from './shared/utils.js';
 import { setupTagEditMode } from './shared/ModelTags.js';
 import { Combobox } from './Combobox.js';
 
@@ -66,6 +66,39 @@ function escapeHtml(value) {
         .replace(/'/g, ''');
 }
 
+/**
+ * Call backend to open the recipe's file location and select the file.
+ * Mirrors the model modal's openFileLocation, including the Docker
+ * clipboard fallback.
+ * @param {string} filePath
+ */
+async function openRecipeFileLocation(filePath) {
+    try {
+        const resp = await fetch('/api/lm/open-file-location', {
+            method: 'POST',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify({ 'file_path': filePath })
+        });
+        if (!resp.ok) throw new Error('Failed to open file location');
+
+        const data = await resp.json();
+
+        if (data.mode === 'clipboard' && data.path) {
+            try {
+                await navigator.clipboard.writeText(data.path);
+                showToast('recipes.modal.openFileLocation.copied', { path: data.path }, 'success');
+            } catch (clipboardErr) {
+                console.warn('Clipboard API not available:', clipboardErr);
+                showToast('recipes.modal.openFileLocation.clipboardFallback', { path: data.path }, 'info');
+            }
+        } else {
+            showToast('recipes.modal.openFileLocation.success', {}, 'success');
+        }
+    } catch (err) {
+        showToast('recipes.modal.openFileLocation.failed', {}, 'error');
+    }
+}
+
 // Fallback English strings for the collapsed "Why no LoRAs?" panel.
 // Translations live in locales/*.json under recipes.resources.
 const NO_LORAS_REASON_FALLBACKS = {
@@ -95,6 +128,9 @@ class RecipeModal {
         this.recipeHydrationRequestId = 0;
         this.navigationKeyHandler = null;
         this.navigationInProgress = false;
+        this._disposed = false;
+        this._deferredTimerIds = new Set();
+        this._documentClickHandler = null;
         this.resetLocalEditState();
         this.init();
     }
@@ -164,7 +200,7 @@ class RecipeModal {
         this.setupDeleteControl();
 
         // Set up document click handler to close edit fields
-        document.addEventListener('click', (event) => {
+        this._documentClickHandler = (event) => {
             const recipeModal = document.getElementById('recipeModal');
             if (recipeModal && recipeModal.style.display !== 'none') {
                 const mediaEl = event.target.closest('.recipe-preview-media');
@@ -202,7 +238,8 @@ class RecipeModal {
                     this.hideReconnectInput(container);
                 }
             });
-        });
+        };
+        document.addEventListener('click', this._documentClickHandler);
     }
 
     setupNavigationControls() {
@@ -266,6 +303,39 @@ class RecipeModal {
         this._destroyAllReconnectComboboxes();
     }
 
+    /**
+     * Run a callback on a tracked timer so it can be cancelled when the
+     * modal is disposed. Used for render/wiring work that must never touch
+     * the DOM after the modal has been torn down (test teardown, close).
+     */
+    _scheduleDeferred(fn, delay) {
+        const timerId = setTimeout(() => {
+            this._deferredTimerIds.delete(timerId);
+            fn();
+        }, delay);
+        this._deferredTimerIds.add(timerId);
+        return timerId;
+    }
+
+    /**
+     * Tear the modal down: mark it disposed (in-flight async chains and any
+     * later render/wiring become no-ops), cancel pending deferred work, and
+     * detach global listeners. Safe to call multiple times.
+     */
+    dispose() {
+        if (this._disposed) {
+            return;
+        }
+        this._disposed = true;
+        this._deferredTimerIds.forEach(timerId => clearTimeout(timerId));
+        this._deferredTimerIds.clear();
+        if (this._documentClickHandler) {
+            document.removeEventListener('click', this._documentClickHandler);
+            this._documentClickHandler = null;
+        }
+        this.cleanupNavigationShortcuts();
+    }
+
     setupNavigationShortcuts() {
         const modalElement = document.getElementById('recipeModal');
         if (!modalElement) return;
@@ -320,6 +390,9 @@ class RecipeModal {
     }
 
     showRecipeDetails(recipe) {
+        if (this._disposed) {
+            return;
+        }
         const hydratedRecipe = recipe || {};
         this.resetLocalEditState();
         // Store the full recipe for editing
@@ -410,7 +483,7 @@ class RecipeModal {
             // Delay binding slightly so modal layout is stable, but skip if this render was torn down.
             const sourceUrlContainerRef = sourceUrlContainer;
             const sourceUrlEditorRef = sourceUrlEditor;
-            setTimeout(() => {
+            this._scheduleDeferred(() => {
                 if (!document.body.contains(sourceUrlContainerRef) || !document.body.contains(sourceUrlEditorRef)) {
                     return;
                 }
@@ -421,6 +494,7 @@ class RecipeModal {
         this.syncGenerationParams(hydratedRecipe.gen_params);
         this.syncResourcesSection(hydratedRecipe);
         this.syncHeaderActions();
+        this.syncMetaFooter();
 
         // Show the modal
         modalManager.showModal('recipeModal', null, null, () => this.cleanupNavigationShortcuts());
@@ -446,10 +520,83 @@ class RecipeModal {
         }
     }
 
+    /**
+     * Render the meta footer: clickable file location (opens the recipe JSON
+     * in the OS file manager) plus the truncated recipe ID with copy button.
+     * De-emphasized by design, mirroring the model modal's hash footnote.
+     */
+    syncMetaFooter() {
+        const footer = document.getElementById('recipeMetaFooter');
+        if (!footer) {
+            return;
+        }
+
+        const recipeId = this.currentRecipe?.id || '';
+        const filePath = this.currentRecipe?.file_path || '';
+        const openTarget = this.currentRecipe?.recipe_json_path || filePath;
+        const folderPath = filePath.replace(/[^/\\]+$/, '');
+
+        if (!recipeId && !folderPath) {
+            footer.hidden = true;
+            footer.innerHTML = '';
+            return;
+        }
+
+        const truncatedId = recipeId.length > 14
+            ? `${recipeId.slice(0, 8)}…${recipeId.slice(-4)}`
+            : recipeId;
+        const openLocationLabel = translate('recipes.modal.actions.openFileLocation', {}, 'Open File Location');
+        const copyIdLabel = translate('recipes.modal.actions.copyId', {}, 'Copy recipe ID');
+
+        const locationMarkup = folderPath ? `
+            <span class="recipe-meta-location" role="button" tabindex="0"
+                title="${escapeAttribute(folderPath)}"
+                aria-label="${escapeAttribute(openLocationLabel)}"
+                data-filepath="${escapeAttribute(openTarget)}">
+                <i class="fas fa-folder-open" aria-hidden="true"></i>
+                <span class="recipe-meta-location-path">${escapeHtml(folderPath)}</span>
+            </span>` : '';
+
+        const idMarkup = recipeId ? `
+            <span class="recipe-meta-id">
+                <span class="recipe-meta-id-label">${translate('recipes.modal.metadata.id', {}, 'ID')}</span>
+                <span class="recipe-meta-id-value" title="${escapeAttribute(recipeId)}">${escapeHtml(truncatedId)}</span>
+                <button class="recipe-meta-copy-btn" title="${escapeAttribute(copyIdLabel)}" aria-label="${escapeAttribute(copyIdLabel)}">
+                    <i class="fas fa-copy" aria-hidden="true"></i>
+                </button>
+            </span>` : '';
+
+        footer.innerHTML = locationMarkup + idMarkup;
+        footer.hidden = false;
+
+        const locationEl = footer.querySelector('.recipe-meta-location');
+        if (locationEl) {
+            const openLocation = () => {
+                if (locationEl.dataset.filepath) {
+                    openRecipeFileLocation(locationEl.dataset.filepath);
+                }
+            };
+            locationEl.addEventListener('click', openLocation);
+            locationEl.addEventListener('keydown', (event) => {
+                if (event.key === 'Enter' || event.key === ' ') {
+                    event.preventDefault();
+                    openLocation();
+                }
+            });
+        }
+
+        const copyBtn = footer.querySelector('.recipe-meta-copy-btn');
+        if (copyBtn && recipeId) {
+            copyBtn.addEventListener('click', () => {
+                copyToClipboard(recipeId);
+            });
+        }
+    }
+
     async hydrateRecipeDetails(recipeId, requestId, requestEditVersions = {}) {
         try {
             const fullRecipe = await fetchRecipeDetails(recipeId);
-            if (requestId !== this.recipeHydrationRequestId || !fullRecipe) {
+            if (this._disposed || requestId !== this.recipeHydrationRequestId || !fullRecipe) {
                 return;
             }
 
@@ -471,6 +618,9 @@ class RecipeModal {
             if (fullRecipe.file_path !== undefined) {
                 nextRecipe.file_path = fullRecipe.file_path;
             }
+            if (fullRecipe.recipe_json_path !== undefined) {
+                nextRecipe.recipe_json_path = fullRecipe.recipe_json_path;
+            }
             if (fullRecipe.file_url !== undefined) {
                 nextRecipe.file_url = fullRecipe.file_url;
             }
@@ -568,6 +718,7 @@ class RecipeModal {
             this.updateSourceUrlDisplay(this.currentRecipe.source_path || '');
         }
         this.syncHeaderActions();
+        this.syncMetaFooter();
     }
 
     getPreviewMediaUrl(recipe = {}) {
@@ -841,6 +992,9 @@ class RecipeModal {
     }
 
     syncResourcesSection(recipe = {}) {
+        if (this._disposed) {
+            return;
+        }
         const checkpointContainer = document.getElementById('recipeCheckpoint');
         const resourceDivider = document.getElementById('recipeResourceDivider');
         const lorasListElement = document.getElementById('recipeLorasList');
@@ -905,7 +1059,7 @@ class RecipeModal {
                 missingStatus.addEventListener('click', () => this.showDownloadMissingLorasModal());
             }
 
-            setTimeout(() => {
+            this._scheduleDeferred(() => {
                 const viewRecipeLorasBtn = document.getElementById('viewRecipeLorasBtn');
                 if (viewRecipeLorasBtn) {
                     viewRecipeLorasBtn.addEventListener('click', () => this.navigateToLorasPage());
@@ -1046,7 +1200,7 @@ class RecipeModal {
                 `;
             }).join('');
 
-            setTimeout(() => {
+            this._scheduleDeferred(() => {
                 this.setupReconnectButtons();
                 this.setupLoraItemActions();
                 this.setupLoraItemsClickable();
@@ -2002,13 +2156,13 @@ class RecipeModal {
         try {
             const suggestions = await this._fetchReconnectSuggestions(loraIndex);
             // Stale guard: panel closed or another item opened while fetching
-            if (token !== this._reconnectSuggestionsToken || !container.classList.contains('active')) {
+            if (this._disposed || token !== this._reconnectSuggestionsToken || !container.classList.contains('active')) {
                 return;
             }
             this._renderReconnectSuggestions(container, suggestions, loraIndex);
         } catch (error) {
             console.error('Error fetching reconnect suggestions:', error);
-            if (token !== this._reconnectSuggestionsToken || !container.classList.contains('active')) {
+            if (this._disposed || token !== this._reconnectSuggestionsToken || !container.classList.contains('active')) {
                 return;
             }
             this._renderReconnectSuggestions(container, [], loraIndex);
@@ -2120,6 +2274,9 @@ class RecipeModal {
             });
 
             const result = await response.json();
+            if (this._disposed) {
+                return;
+            }
 
             if (result.success) {
                 // Hide the reconnect input
@@ -2145,7 +2302,7 @@ class RecipeModal {
                 }
 
                 // Refresh modal to show updated content
-                setTimeout(() => {
+                this._scheduleDeferred(() => {
                     this.showRecipeDetails(this.currentRecipe);
                 }, 500);
 
@@ -2179,6 +2336,9 @@ class RecipeModal {
             });
 
             const result = await response.json();
+            if (this._disposed) {
+                return;
+            }
 
             if (result.success) {
                 // Swap the entry back to its pre-reconnect state
@@ -2186,7 +2346,7 @@ class RecipeModal {
 
                 showToast('toast.recipes.loraRestored', {}, 'success');
 
-                setTimeout(() => {
+                this._scheduleDeferred(() => {
                     this.showRecipeDetails(this.currentRecipe);
                 }, 500);
 
@@ -2231,6 +2391,9 @@ class RecipeModal {
             });
 
             const result = await response.json();
+            if (this._disposed) {
+                return;
+            }
 
             if (result.success) {
                 // Hide the reconnect input
@@ -2256,7 +2419,7 @@ class RecipeModal {
                 }
 
                 // Refresh modal to show updated content
-                setTimeout(() => {
+                this._scheduleDeferred(() => {
                     this.showRecipeDetails(this.currentRecipe);
                 }, 500);
 
@@ -2289,6 +2452,9 @@ class RecipeModal {
             });
 
             const result = await response.json();
+            if (this._disposed) {
+                return;
+            }
 
             if (result.success) {
                 // Swap the entry back to its pre-reconnect state
@@ -2296,7 +2462,7 @@ class RecipeModal {
 
                 showToast('toast.recipes.checkpointRestored', {}, 'success');
 
-                setTimeout(() => {
+                this._scheduleDeferred(() => {
                     this.showRecipeDetails(this.currentRecipe);
                 }, 500);
 
@@ -2331,6 +2497,9 @@ class RecipeModal {
                     recipe_id: recipeId,
                 }),
             });
+            if (this._disposed) {
+                return;
+            }
             if (this.currentRecipe?.checkpoint) {
                 this.currentRecipe.checkpoint.hashInvalid = true;
                 this.syncResourcesSection(this.currentRecipe);
@@ -2708,12 +2877,14 @@ class RecipeModal {
 
     canDownloadLora(lora) {
         if (!lora) return false;
-        const modelId = lora.modelId || lora.modelID || lora.model_id;
         const versionId = lora.id || lora.modelVersionId;
-        // Direct download needs both identifiers; a hash alone is enough
-        // because downloadRecipeLora resolves it to a version on demand —
-        // the same fallback the bulk "download missing" flow uses.
-        return !!((modelId && versionId) || lora.hash);
+        // A bare CivitAI version id is enough: it uniquely pins the exact
+        // file, and downloadRecipeLora resolves the owning model id from the
+        // version on demand (the same fallback the bulk "download missing"
+        // flow uses). A hash alone is likewise sufficient. A model id without
+        // an exact version id is NOT enough — downloading the model's latest
+        // version could silently mismatch the recipe's pinned version.
+        return !!(versionId || lora.hash);
     }
 
     renderCivitaiLink(url) {
@@ -2822,6 +2993,9 @@ class RecipeModal {
      * Resolve the Civitai model/version identifiers needed for download.
      * Recipe LoRAs parsed from PNG metadata often carry only a hash; resolve
      * it through the same endpoint the bulk "download missing" flow uses.
+     * Version-only entries (page-imported recipes whose CivitAI version has
+     * no sha256) are resolved through the version endpoint, which returns
+     * the owning model id.
      */
     async resolveLoraDownloadIdentifiers(lora) {
         let modelId = lora.modelId || lora.modelID || lora.model_id;
@@ -2832,21 +3006,41 @@ class RecipeModal {
             return { modelId, versionId, versionName };
         }
 
-        if (!lora.hash) {
-            return null;
+        // Hash-only entries (PNG/recipe-JSON imports): resolve the owning
+        // model/version through the same endpoint the bulk "download
+        // missing" flow uses.
+        if (lora.hash) {
+            const response = await fetch(`/api/lm/loras/civitai/model/hash/${lora.hash}`);
+            const versionInfo = await response.json();
+            if (versionInfo?.error) {
+                return null;
+            }
+
+            modelId = versionInfo.modelId || versionInfo.model?.id;
+            versionId = versionInfo.id;
+            versionName = versionInfo.name || versionName;
+
+            return modelId && versionId ? { modelId, versionId, versionName } : null;
         }
 
-        const response = await fetch(`/api/lm/loras/civitai/model/hash/${lora.hash}`);
-        const versionInfo = await response.json();
-        if (versionInfo?.error) {
-            return null;
+        // Version-only entries (page-imported recipes whose CivitAI versions
+        // expose no sha256): the version id still pins the exact file, so
+        // resolve the owning model id from the version endpoint on demand.
+        if (versionId) {
+            const response = await fetch(`/api/lm/loras/civitai/model/version/${versionId}`);
+            const versionInfo = await response.json();
+            if (!versionInfo || versionInfo?.error === 'Model not found') {
+                return null;
+            }
+
+            modelId = versionInfo.modelId || versionInfo.model?.id;
+            versionId = versionInfo.id || versionId;
+            versionName = versionInfo.name || versionName;
+
+            return modelId && versionId ? { modelId, versionId, versionName } : null;
         }
 
-        modelId = versionInfo.modelId || versionInfo.model?.id;
-        versionId = versionInfo.id;
-        versionName = versionInfo.name || versionName;
-
-        return modelId && versionId ? { modelId, versionId, versionName } : null;
+        return null;
     }
 
     /**
@@ -2864,6 +3058,9 @@ class RecipeModal {
                 return;
             }
             const updated = await fetchRecipeDetails(recipeId);
+            if (this._disposed) {
+                return;
+            }
             if (!updated) {
                 return;
             }
@@ -2972,6 +3169,9 @@ class RecipeModal {
                     lora_index: loraIndex,
                 }),
             });
+            if (this._disposed) {
+                return;
+            }
             if (this.currentRecipe?.loras?.[loraIndex]) {
                 this.currentRecipe.loras[loraIndex].hashInvalid = true;
                 this.syncResourcesSection(this.currentRecipe);

static/js/components/controls/PageControls.js

@@ -1,7 +1,8 @@
 // PageControls.js - Manages controls for both LoRAs and Checkpoints pages
 import { state, getCurrentPageState, setCurrentPageType } from '../../state/index.js';
 import { getStorageItem, setStorageItem, removeStorageItem, getSessionItem, setSessionItem, removeSessionItem } from '../../utils/storageHelpers.js';
-import { showToast, openCivitaiByMetadata } from '../../utils/uiHelpers.js';
+import { showToast, openCivitaiByMetadata, isTypingContext } from '../../utils/uiHelpers.js';
+import { eventManager } from '../../utils/EventManager.js';
 import { performModelUpdateCheck } from '../../utils/updateCheckHelpers.js';
 import { sidebarManager } from '../SidebarManager.js';
 import { initSortDropdown, applySortToSelect, randomizeSortValue } from './SortDropdown.js';
@@ -146,6 +147,62 @@ export class PageControls {
 
         // Page-specific event listeners
         this.initPageSpecificListeners();
+
+        // Keyboard shortcuts for the actions toolbar (R / F / D)
+        this.registerKeyboardShortcuts();
+    }
+
+    /**
+     * Register keyboard shortcuts for the actions toolbar buttons
+     * (R = refresh, F = fetch metadata, D = download)
+     */
+    registerKeyboardShortcuts() {
+        eventManager.addHandler('keydown', 'pageControls-actions', (e) => {
+            return this.handleActionShortcut(e);
+        }, {
+            priority: 90,
+            skipWhenModalOpen: true
+        });
+    }
+
+    /**
+     * Handle a keydown event for the actions toolbar shortcuts
+     * @param {KeyboardEvent} e
+     * @returns {boolean} True when the event was handled and propagation should stop
+     */
+    handleActionShortcut(e) {
+        // Plain letters only — leave modified combos (Ctrl/Cmd/Alt) alone
+        if (e.ctrlKey || e.metaKey || e.altKey) {
+            return false;
+        }
+
+        // Don't hijack keys while typing in a text entry context
+        if (isTypingContext(e.target)) {
+            return false;
+        }
+
+        const actionByKey = {
+            r: 'refresh',
+            f: 'fetch',
+            d: 'download'
+        };
+        const action = actionByKey[e.key.toLowerCase()];
+        if (!action) {
+            return false;
+        }
+
+        // The button may not exist on this page (e.g. recipes has no
+        // fetch/download) — let other handlers run in that case
+        const button = document.querySelector(`[data-action="${action}"]`);
+        if (!button) {
+            return false;
+        }
+
+        e.preventDefault();
+        // Native disabled buttons ignore .click(), so an in-progress
+        // refresh is safe
+        button.click();
+        return true;
     }
 
     initExcludedViewControls() {

static/js/components/shared/ModelCard.js

@@ -607,9 +607,11 @@ export function createModelCard(model, modelType) {
         sendTitle = translate('modelCard.actions.sendToWorkflow', {}, 'Send to ComfyUI (Click: Append, Shift+Click: Replace)');
         copyTitle = translate('modelCard.actions.copyLoRASyntax', {}, 'Copy LoRA Syntax');
     } else if (modelType === MODEL_TYPES.CHECKPOINT) {
+        // Checkpoint send sets the widget value directly; no append/replace modes.
         sendTitle = translate('modelCard.actions.sendCheckpointToWorkflow', {}, 'Send to ComfyUI');
         copyTitle = translate('modelCard.actions.copyCheckpointName', {}, 'Copy checkpoint name');
     } else if (modelType === MODEL_TYPES.EMBEDDING) {
+        // Embedding send always appends to the prompt; no replace mode.
         sendTitle = translate('modelCard.actions.sendEmbeddingToWorkflow', {}, 'Send to ComfyUI');
         copyTitle = translate('modelCard.actions.copyEmbeddingName', {}, 'Copy embedding name');
     } else {

static/js/components/shared/ModelModal.js

@@ -877,8 +877,9 @@ function renderLoraSpecificContent(lora, escapedWords) {
                         <option value="clip_strength">${translate('modals.model.usageTips.clipStrength', {}, 'Clip Strength')}</option>
                         <option value="clip_skip">${translate('modals.model.usageTips.clipSkip', {}, 'Clip Skip')}</option>
                     </select>
-                    <input type="number" id="preset-value" step="0.01" placeholder="${translate('modals.model.usageTips.valuePlaceholder', {}, 'Value')}" style="display:none;">
-                    <button class="add-preset-btn">${translate('modals.model.usageTips.add', {}, 'Add')}</button>
+                    <!-- autofill opt-out attrs prevent password managers / email-alias extensions from attaching popups -->
+                    <input type="number" id="preset-value" step="0.01" placeholder="${translate('modals.model.usageTips.valuePlaceholder', {}, 'Value')}" style="display:none;" autocomplete="off" data-1p-ignore data-lpignore="true" data-bwignore data-form-type="other">
+                    <button class="add-preset-btn" disabled>${translate('modals.model.usageTips.add', {}, 'Add')}</button>
                 </div>
                 <div class="preset-tags">
                     ${renderPresetTags(parsePresets(lora.usage_tips))}
@@ -1086,6 +1087,11 @@ function setupLoraSpecificFields(filePath) {
 
     if (!presetSelector || !presetValue || !addPresetBtn || !presetTags) return;
 
+    // Add button stays disabled until both a parameter and a value are provided
+    const updateAddPresetButtonState = () => {
+        addPresetBtn.disabled = !(presetSelector.value && presetValue.value.trim());
+    };
+
     presetSelector.addEventListener('change', function () {
         const selected = this.value;
         if (selected) {
@@ -1111,12 +1117,16 @@ function setupLoraSpecificFields(filePath) {
         } else {
             presetValue.style.display = 'none';
         }
+        updateAddPresetButtonState();
     });
 
+    presetValue.addEventListener('input', updateAddPresetButtonState);
+
     addPresetBtn.addEventListener('click', async function () {
         const key = presetSelector.value;
-        const value = presetValue.value;
+        const value = presetValue.value.trim();
 
+        // Unreachable via UI while the button is disabled; kept as a safety net
         if (!key || !value) return;
 
         const currentPath = resolveFilePath();
@@ -1131,9 +1141,11 @@ function setupLoraSpecificFields(filePath) {
             document.querySelector(`.model-card[data-filepath="${escapedFilePath}"]`);
         const currentPresets = parsePresets(loraCard?.dataset.usage_tips);
 
+        let isUpdate;
         if (key === 'strength_range') {
             const rangeMatch = value.match(/^(-?\d*\.?\d+)\s*[-~]\s*(-?\d*\.?\d+)$/);
             if (rangeMatch) {
+                isUpdate = 'strength_min' in currentPresets || 'strength_max' in currentPresets;
                 currentPresets['strength_min'] = parseFloat(rangeMatch[1]);
                 currentPresets['strength_max'] = parseFloat(rangeMatch[2]);
             } else {
@@ -1141,17 +1153,36 @@ function setupLoraSpecificFields(filePath) {
                 return;
             }
         } else {
-            currentPresets[key] = parseFloat(value);
+            const numericValue = parseFloat(value);
+            if (!Number.isFinite(numericValue)) {
+                showToast('modals.model.usageTips.invalidValue', {}, 'error', 'Please enter a valid number');
+                return;
+            }
+            isUpdate = key in currentPresets;
+            currentPresets[key] = numericValue;
         }
         const newPresetsJson = JSON.stringify(currentPresets);
 
-        await getModelApiClient().saveModelMetadata(currentPath, { usage_tips: newPresetsJson });
+        try {
+            await getModelApiClient().saveModelMetadata(currentPath, { usage_tips: newPresetsJson });
+        } catch (error) {
+            console.error('Failed to save preset parameter:', error);
+            showToast('modals.model.usageTips.saveFailed', {}, 'error', 'Failed to save preset parameter');
+            return;
+        }
 
         presetTags.innerHTML = renderPresetTags(currentPresets);
+        showToast(
+            isUpdate ? 'modals.model.usageTips.updated' : 'modals.model.usageTips.added',
+            {},
+            'success',
+            isUpdate ? 'Preset parameter updated' : 'Preset parameter added'
+        );
 
         presetSelector.value = '';
         presetValue.value = '';
         presetValue.style.display = 'none';
+        addPresetBtn.disabled = true;
     });
 
     // Add keydown event for preset value

static/js/components/shared/TriggerWords.js

@@ -227,7 +227,7 @@ export function renderTriggerWords(words, filePath) {
         const escapedWord = escapeHtml(word);
         const escapedAttr = escapeAttribute(word);
         return `
-                        <div class="trigger-word-tag" data-word="${escapedAttr}" title="${translate('modals.model.triggerWords.copyWord')}">
+                        <div class="trigger-word-tag" data-word="${escapedAttr}" title="${translate('modals.model.triggerWords.copyOrEditWord')}">
                             <span class="trigger-word-content">${escapedWord}</span>
                             <span class="trigger-word-copy">
                                 <i class="fas fa-copy"></i>
@@ -455,7 +455,7 @@ function resetTriggerWordsUIState(section) {
         // Restore click-to-copy functionality
         tag.removeEventListener('click', startEditTriggerWord);
         setupDisplayTriggerWordTag(tag);
-        tag.title = translate('modals.model.triggerWords.copyWord');
+        tag.title = translate('modals.model.triggerWords.copyOrEditWord');
 
         // Show copy icon, hide delete button
         if (copyIcon) copyIcon.style.display = '';
@@ -503,7 +503,7 @@ function createTriggerWordTag(word, isEditMode = false) {
     const tag = document.createElement('div');
     tag.className = 'trigger-word-tag';
     tag.dataset.word = word;
-    tag.title = translate(isEditMode ? 'modals.model.triggerWords.editWord' : 'modals.model.triggerWords.copyWord');
+    tag.title = translate(isEditMode ? 'modals.model.triggerWords.editWord' : 'modals.model.triggerWords.copyOrEditWord');
 
     const escapedWord = escapeHtml(word);
     tag.innerHTML = `
@@ -537,7 +537,7 @@ function setupDisplayTriggerWordTag(tag) {
 
     tag.addEventListener('click', handleDisplayTriggerWordClick);
     tag.addEventListener('dblclick', handleDisplayTriggerWordDoubleClick);
-    tag.title = translate('modals.model.triggerWords.copyWord');
+    tag.title = translate('modals.model.triggerWords.copyOrEditWord');
 }
 
 /**

static/js/components/shared/showcase/MediaRenderers.js

@@ -76,6 +76,7 @@ export function generateImageWrapper(media, shouldBlur, nsfwText, metadataPanel,
                 alt="Preview" 
                 width="${media.width}"
                 height="${media.height}"
+                fetchpriority="high"
                 class="lazy ${shouldBlur ? 'blurred' : ''}"> 
             ${shouldBlur ? `
                 <div class="nsfw-overlay">

static/js/components/shared/showcase/ShowcaseView.js

@@ -22,8 +22,8 @@ import {
 } from './MediaUtils.js';
 import { generateMetadataPanel } from './MetadataPanel.js';
 import { generateImageWrapper, generateVideoWrapper } from './MediaRenderers.js';
-import { getShowcaseUrl, getThumbnailUrl } from '../../../utils/civitaiUtils.js';
-import { openMediaViewer } from '../MediaViewer.js';
+import { getShowcaseUrl, getDisplayUrl, getGalleryThumbnailUrl } from '../../../utils/civitaiUtils.js';
+import { openMediaViewer, isMediaViewerOpen } from '../MediaViewer.js';
 import { escapeAttribute } from '../utils.js';
 
 /**
@@ -54,6 +54,13 @@ export async function loadExampleImages(images, modelHash, previewUrl = '') {
         const showcaseTab = document.getElementById('showcase-tab');
         if (!showcaseTab) return;
 
+        // Fresh load of a model's examples: reset the gallery position so a
+        // previously viewed model's active index / expansion state never leaks
+        // into this one (the modal is a singleton, state is module-level)
+        galleryState.activeIndex = 0;
+        galleryState.expanded = false;
+        lastNavDirection = 1;
+
         // First fetch local example files
         let localFiles = [];
 
@@ -224,10 +231,10 @@ export function renderShowcaseContent(images, exampleFiles = [], previewUrl = ''
                     ${renderMediaItem(activeImg, galleryState.activeIndex, exampleFiles)}
                     ${renderPositionBadge(positionText)}
                 </div>
-                ${showNav ? `<button class="gallery-nav prev" id="galleryPrevBtn" title="${translate('modals.model.showcase.previousExample', {}, 'Previous example')}">
+                ${showNav ? `<button class="gallery-nav prev" id="galleryPrevBtn" title="${translate('modals.model.showcase.previousExample', {}, 'Previous example ([)')}">
                     <i class="fas fa-chevron-left"></i>
                 </button>
-                <button class="gallery-nav next" id="galleryNextBtn" title="${translate('modals.model.showcase.nextExample', {}, 'Next example')}">
+                <button class="gallery-nav next" id="galleryNextBtn" title="${translate('modals.model.showcase.nextExample', {}, 'Next example (])')}">
                     <i class="fas fa-chevron-right"></i>
                 </button>` : ''}
             </div>
@@ -275,7 +282,7 @@ function renderThumbnail(img, index, exampleFiles) {
         originalRemoteUrl.endsWith('.mp4') || originalRemoteUrl.endsWith('.webm');
     const mediaType = isVideo ? 'video' : 'image';
 
-    const thumbUrl = localFile ? localFile.path : getThumbnailUrl(originalRemoteUrl, mediaType);
+    const thumbUrl = localFile ? localFile.path : getGalleryThumbnailUrl(originalRemoteUrl, mediaType);
 
     const nsfwLevel = img.nsfwLevel !== undefined ? img.nsfwLevel : 0;
     const matureBlurThreshold = getMatureBlurThreshold(state.settings);
@@ -284,9 +291,9 @@ function renderThumbnail(img, index, exampleFiles) {
     const activeClass = index === galleryState.activeIndex ? ' active' : '';
     const blurClass = shouldBlur ? ' blurred' : '';
     const mediaHtml = isVideo ?
-        `<video class="thumb-media${blurClass}" src="${escapeAttribute(thumbUrl)}" muted playsinline preload="metadata"></video>
+        `<video class="thumb-media${blurClass}" src="${escapeAttribute(thumbUrl)}" muted playsinline preload="none" data-lazy-video></video>
          <i class="fas fa-play thumb-video-badge"></i>` :
-        `<img class="thumb-media${blurClass}" src="${escapeAttribute(thumbUrl)}" loading="lazy" alt="">`;
+        `<img class="thumb-media${blurClass}" src="${escapeAttribute(thumbUrl)}" loading="lazy" fetchpriority="low" alt="">`;
     const nsfwBadge = shouldBlur ? '<i class="fas fa-eye-slash thumb-nsfw-badge"></i>' : '';
 
     return `<button class="gallery-thumb${activeClass}" data-index="${index}">${mediaHtml}${nsfwBadge}</button>`;
@@ -311,8 +318,9 @@ function renderMediaItem(img, index, exampleFiles) {
                   originalRemoteUrl.endsWith('.mp4') || originalRemoteUrl.endsWith('.webm');
     const mediaType = isVideo ? 'video' : 'image';
 
-    // Optimize CivitAI URLs for showcase display (full quality)
-    const remoteUrl = getShowcaseUrl(originalRemoteUrl, mediaType);
+    // Optimize CivitAI URLs for in-modal display (images capped at width=2400;
+    // the full-size media viewer uses getShowcaseUrl separately)
+    const remoteUrl = getDisplayUrl(originalRemoteUrl, mediaType);
 
     const localUrl = localFile ? localFile.path : '';
 
@@ -438,6 +446,48 @@ function findLocalFile(img, index, exampleFiles) {
     return localFile;
 }
 
+// URLs already warmed in the HTTP cache, so repeat navigations and re-renders
+// never issue duplicate prefetch requests
+const prefetchedUrls = new Set();
+
+// Direction of the last main-viewer navigation (+1 next / -1 prev); users
+// tend to keep clicking the same arrow, so prefetch reaches one further
+// ahead along it. Defaults to forward (Next is the most common navigation)
+let lastNavDirection = 1;
+
+/**
+ * Warm the HTTP cache for the examples most likely to be shown next: both
+ * indices adjacent to the active one, plus one extra ahead along the last
+ * navigation direction, so prev/next navigation feels instant. Images only:
+ * video payloads are too heavy for speculative prefetch, and locally stored
+ * examples need no network fetch at all.
+ */
+function prefetchAdjacentMedia() {
+    const { images, exampleFiles, activeIndex, expanded } = galleryState;
+    if (!expanded || images.length < 2) return;
+
+    [1, -1, lastNavDirection * 2].forEach(offset => {
+        const index = ((activeIndex + offset) % images.length + images.length) % images.length;
+        const img = images[index];
+        if (!img?.url || findLocalFile(img, index, exampleFiles)) return;
+
+        const isVideo = img.url.endsWith('.mp4') || img.url.endsWith('.webm');
+        if (isVideo) return;
+
+        // Must match the main viewer's URL (display mode) or the warmed
+        // cache entry is never used
+        const url = getDisplayUrl(img.url, 'image');
+        if (prefetchedUrls.has(url)) return;
+        prefetchedUrls.add(url);
+
+        // Off-DOM image: fills the HTTP/memory cache without affecting layout.
+        // Low priority keeps it from competing with the active media's load.
+        const preloader = new Image();
+        preloader.fetchPriority = 'low';
+        preloader.src = url;
+    });
+}
+
 /**
  * Switch the main viewer to another example (wraps around)
  * @param {number} index - Target index in galleryState.images
@@ -446,6 +496,11 @@ export function updateMainDisplay(index) {
     const count = galleryState.images.length;
     if (!count || !galleryState.expanded) return;
 
+    // Remember the navigation direction for direction-aware prefetching
+    // (a raw index of -1 / count means wrap-around prev / next)
+    const delta = index - galleryState.activeIndex;
+    if (delta !== 0) lastNavDirection = delta > 0 ? 1 : -1;
+
     galleryState.activeIndex = ((index % count) + count) % count;
 
     const container = document.getElementById('mainMediaContainer');
@@ -453,6 +508,13 @@ export function updateMainDisplay(index) {
 
     const activeImg = galleryState.images[galleryState.activeIndex];
     container.style.setProperty('--media-aspect', mediaAspectRatio(activeImg));
+    // Direction-aware slide makes every switch (wheel, keys, buttons,
+    // thumbnails) perceivable instead of an instant, unexplained swap
+    container.classList.remove('slide-from-left', 'slide-from-right');
+    if (delta !== 0) {
+        void container.offsetWidth; // restart the animation on rapid switches
+        container.classList.add(delta > 0 ? 'slide-from-right' : 'slide-from-left');
+    }
     // The badge lives inside the container, so rebuild it together with the media
     container.innerHTML = renderMediaItem(
         activeImg,
@@ -470,6 +532,7 @@ export function updateMainDisplay(index) {
     });
 
     initMainMediaInteractions(container);
+    prefetchAdjacentMedia();
 }
 
 /**
@@ -624,6 +687,211 @@ function setupScrollToExpand(gallery) {
     }, { passive: true });
 }
 
+// Wheel-navigation tuning: one gesture = one step. Trackpads emit a stream
+// of small deltas, so deltas accumulate until the threshold; the cooldown
+// keeps the tail of the same gesture from stepping again
+const WHEEL_STEP_THRESHOLD = 50;
+const WHEEL_COOLDOWN_MS = 250;
+const WHEEL_ACCUM_RESET_MS = 200;
+
+/**
+ * Wheel navigation on the main viewer area. Bound to .gallery-main (not the
+ * media element) so it works wherever the cursor rests within the viewer —
+ * including over the nav buttons and the dead zones beside the media, and
+ * regardless of whether the hover-triggered metadata panel is showing.
+ *
+ * - Horizontal-dominant deltas (trackpad two-finger swipe) always navigate;
+ *   the modal never scrolls horizontally, so nothing is hijacked.
+ * - Vertical deltas navigate only when the modal content cannot scroll
+ *   further in that direction (same boundary pass-through pattern as the
+ *   metadata panel's wheel handler), so wheel-scrolling the modal through
+ *   the gallery is never trapped mid-way.
+ * - Once a boundary crossing triggers a vertical switch, a "wheel session"
+ *   starts: while the pointer stays over .gallery-main, vertical wheel in
+ *   BOTH directions switches examples (down = next, up = prev — the reverse
+ *   gesture must undo, not scroll the modal away). The session ends when the
+ *   pointer leaves the area, returning vertical scroll to the modal.
+ * @param {HTMLElement} gallery - The .showcase-gallery element
+ */
+function initWheelNavigation(gallery) {
+    const main = gallery.querySelector('.gallery-main');
+    if (!main || galleryState.images.length < 2) return;
+
+    let accumulated = 0;
+    let lastEventAt = 0;
+    let lastStepAt = 0;
+    let verticalSession = false;
+
+    // Leaving the viewer area releases the vertical wheel back to the modal
+    main.addEventListener('pointerleave', () => {
+        verticalSession = false;
+        accumulated = 0;
+    });
+
+    main.addEventListener('wheel', (event) => {
+        // The metadata panel and media controls keep their own behavior;
+        // the panel passes boundary scrolls through to the modal by itself
+        if (event.target.closest('.image-metadata-panel, .media-controls')) return;
+
+        const horizontal = Math.abs(event.deltaX) > Math.abs(event.deltaY);
+        const delta = horizontal ? event.deltaX : event.deltaY;
+        if (delta === 0) return;
+
+        if (!horizontal && !verticalSession) {
+            const scroller = main.closest('.modal-content');
+            if (scroller) {
+                const atTop = scroller.scrollTop <= 0;
+                const atBottom = scroller.scrollHeight - scroller.scrollTop - scroller.clientHeight <= 1;
+                if ((delta < 0 && !atTop) || (delta > 0 && !atBottom)) return;
+            }
+        }
+
+        event.preventDefault();
+
+        const now = performance.now();
+        if (now - lastEventAt > WHEEL_ACCUM_RESET_MS) accumulated = 0;
+        lastEventAt = now;
+        if (now - lastStepAt < WHEEL_COOLDOWN_MS) return;
+
+        accumulated += delta;
+        if (Math.abs(accumulated) < WHEEL_STEP_THRESHOLD) return;
+
+        const direction = accumulated > 0 ? 1 : -1;
+        accumulated = 0;
+        lastStepAt = now;
+        if (!horizontal) verticalSession = true;
+        updateMainDisplay(galleryState.activeIndex + direction);
+    }, { passive: false });
+}
+
+// Touch/pen swipe tuning. Mouse is excluded: it already has wheel, keys and
+// buttons, and mouse-drag would fight the media's click-to-view gesture
+const SWIPE_THRESHOLD_PX = 50;
+const SWIPE_CLICK_SUPPRESS_MS = 400;
+
+/**
+ * Horizontal swipe navigation on the main viewer area (touch/pen). Requires
+ * `touch-action: pan-y` on .gallery-main so horizontal pans reach these
+ * handlers while vertical pans still scroll the modal.
+ * @param {HTMLElement} gallery - The .showcase-gallery element
+ */
+function initSwipeNavigation(gallery) {
+    const main = gallery.querySelector('.gallery-main');
+    if (!main || galleryState.images.length < 2) return;
+
+    let startX = 0;
+    let startY = 0;
+    let tracking = false;
+    let lastSwipeAt = 0;
+
+    main.addEventListener('pointerdown', (event) => {
+        if (event.pointerType === 'mouse') return;
+        // Native video controls own their pointer gestures (scrubbing etc.)
+        if (event.target.closest('video, .image-metadata-panel, .media-controls, .gallery-nav')) return;
+        startX = event.clientX;
+        startY = event.clientY;
+        tracking = true;
+    });
+
+    main.addEventListener('pointercancel', () => { tracking = false; });
+
+    main.addEventListener('pointerup', (event) => {
+        if (!tracking) return;
+        tracking = false;
+        const dx = event.clientX - startX;
+        const dy = event.clientY - startY;
+        if (Math.abs(dx) < SWIPE_THRESHOLD_PX || Math.abs(dx) < Math.abs(dy) * 1.5) return;
+        lastSwipeAt = performance.now();
+        updateMainDisplay(galleryState.activeIndex + (dx < 0 ? 1 : -1));
+    });
+
+    // A completed swipe still produces a click on the media — swallow it in
+    // the capture phase (beats the media element's own handler) so the
+    // full-size viewer does not open
+    main.addEventListener('click', (event) => {
+        if (performance.now() - lastSwipeAt < SWIPE_CLICK_SUPPRESS_MS) {
+            event.stopPropagation();
+            event.preventDefault();
+        }
+    }, true);
+}
+
+/**
+ * True when the showcase tab is the active pane of an open modal
+ * @returns {boolean}
+ */
+function isShowcaseTabVisible() {
+    const showcaseTab = document.getElementById('showcase-tab');
+    if (!showcaseTab || !showcaseTab.classList.contains('active')) return false;
+    const modalEl = showcaseTab.closest('.modal');
+    // No .modal ancestor: standalone/test rendering, treat as visible
+    if (!modalEl) return true;
+    return modalEl.classList.contains('show') || modalEl.style.display === 'block';
+}
+
+/**
+ * Typing-target guard for the example shortcuts. Unlike the model-level
+ * navigation guard, buttons are NOT excluded: clicking a thumbnail or nav
+ * button leaves focus on it, which would make [ ] feel dead right after the
+ * most common interaction — and buttons consume Space/Enter natively, never
+ * bracket keys.
+ * @param {EventTarget|null} target - keydown event target
+ * @returns {boolean}
+ */
+function isTypingTarget(target) {
+    if (!target) return false;
+    const tagName = target.tagName ? target.tagName.toLowerCase() : '';
+    return target.isContentEditable || ['input', 'textarea', 'select'].includes(tagName);
+}
+
+// '[' / ']' switch examples while the gallery is expanded. ArrowLeft/Right
+// stay reserved for model-level navigation (ModelModal), and the full-size
+// media viewer owns its keys while open.
+document.addEventListener('keydown', (event) => {
+    if (event.key !== '[' && event.key !== ']') return;
+    if (!galleryState.expanded || galleryState.images.length < 2) return;
+    if (isTypingTarget(event.target)) return;
+    if (isMediaViewerOpen()) return;
+    if (!isShowcaseTabVisible()) return;
+
+    event.preventDefault();
+    updateMainDisplay(galleryState.activeIndex + (event.key === ']' ? 1 : -1));
+});
+
+/**
+ * Defer metadata fetches for video thumbnails until they scroll into view:
+ * with preload="metadata" on every strip video, expanding the gallery would
+ * otherwise hit the network for all of them at once
+ * @param {HTMLElement} gallery - The .showcase-gallery element
+ */
+function initStripVideoLazyLoading(gallery) {
+    const videos = gallery.querySelectorAll('.gallery-strip video[data-lazy-video]');
+    if (!videos.length) return;
+
+    const enable = (video) => {
+        video.preload = 'metadata';
+        video.load();
+        video.removeAttribute('data-lazy-video');
+    };
+
+    if (typeof IntersectionObserver === 'undefined') {
+        videos.forEach(enable);
+        return;
+    }
+
+    // No explicit root: intersection accounts for the strip's overflow
+    // clipping, so off-screen thumbnails stay at preload="none"
+    const observer = new IntersectionObserver((entries) => {
+        entries.forEach(entry => {
+            if (entry.isIntersecting) {
+                enable(entry.target);
+                observer.unobserve(entry.target);
+            }
+        });
+    });
+    videos.forEach(video => observer.observe(video));
+}
+
 /**
  * Initialize all gallery interactions
  * @param {HTMLElement} gallery - The .showcase-gallery element
@@ -683,6 +951,13 @@ export function initShowcaseContent(gallery) {
     const container = gallery.querySelector('.main-media-container');
     if (container && galleryState.expanded) {
         initMainMediaInteractions(container);
+        initWheelNavigation(gallery);
+        initSwipeNavigation(gallery);
+        // Gallery just (re)rendered expanded: warm the cache for the
+        // examples adjacent to the active one
+        prefetchAdjacentMedia();
+        // Video thumbnails start at preload="none"; enable them on visibility
+        initStripVideoLazyLoading(gallery);
     }
 
     // Reposition controls on window resize

static/js/core.js

@@ -12,6 +12,7 @@ import { helpManager } from './managers/HelpManager.js';
 import { doctorManager } from './managers/DoctorManager.js';
 import { bannerService } from './managers/BannerService.js';
 import { initTheme, initBackToTop } from './utils/uiHelpers.js';
+import { applyModalBackdropBlurPolicy } from './utils/renderingCapability.js';
 import { initializeInfiniteScroll } from './utils/infiniteScroll.js';
 import { i18n } from './i18n/index.js';
 import { onboardingManager } from './managers/OnboardingManager.js';
@@ -33,7 +34,11 @@ export class AppCore {
         if (this.initialized) return;
 
         console.log('AppCore: Initializing...');
-        
+
+        // Disable full-viewport backdrop blur under software rendering before
+        // anything can open a modal (issue #1092)
+        applyModalBackdropBlurPolicy();
+
         // Initialize i18n first
         window.i18n = i18n;
         // Wait for i18n to be ready

static/js/embeddings.js

@@ -3,6 +3,7 @@ import { confirmDelete, closeDeleteModal, confirmExclude, closeExcludeModal } fr
 import { createPageControls } from './components/controls/index.js';
 import { ModelDuplicatesManager } from './components/ModelDuplicatesManager.js';
 import { MODEL_TYPES } from './api/apiConfig.js';
+import { initActiveFiltersSync } from './utils/activeFiltersSync.js';
 
 // Initialize the Embeddings page
 class EmbeddingsPageManager {
@@ -32,6 +33,9 @@ class EmbeddingsPageManager {
         // Initialize common page features (including context menus)
         appCore.initializePageFeatures();
         
+        // Mirror active filters to the backend for the ComfyUI-side autocomplete
+        initActiveFiltersSync(MODEL_TYPES.EMBEDDING);
+
         console.log('Embeddings Manager initialized');
     }
 }

static/js/loras.js

@@ -4,6 +4,7 @@ import { updateCardsForBulkMode } from './components/shared/ModelCard.js';
 import { createPageControls } from './components/controls/index.js';
 import { confirmDelete, closeDeleteModal, confirmExclude, closeExcludeModal } from './utils/modalUtils.js';
 import { ModelDuplicatesManager } from './components/ModelDuplicatesManager.js';
+import { initActiveFiltersSync } from './utils/activeFiltersSync.js';
 
 // Initialize the LoRA page
 export class LoraPageManager {
@@ -41,6 +42,9 @@ export class LoraPageManager {
 
         // Initialize common page features (including context menus and virtual scroll)
         appCore.initializePageFeatures();
+
+        // Mirror active filters to the backend for the ComfyUI-side autocomplete
+        initActiveFiltersSync('loras');
     }
 }
 

static/js/managers/BulkManager.js

@@ -10,6 +10,7 @@ import { createBaseModelPicker, inferBaseModelsFromFilepaths } from '../componen
 import { getPriorityTagSuggestions } from '../utils/priorityTagHelpers.js';
 import { eventManager } from '../utils/EventManager.js';
 import { translate } from '../utils/i18nHelpers.js';
+import { probeExtension, delegateReimport, getCivitaiImageInfo } from '../utils/extensionReimportBridge.js';
 import { getNsfwLevelSelector } from '../components/shared/NsfwLevelSelector.js';
 
 export class BulkManager {
@@ -103,7 +104,6 @@ export class BulkManager {
                 skipMetadataRefresh: false,
                 setFavorite: true,
                 unfavorite: true,
-                repairMetadata: true,
                 reimportMetadata: true,
                 rematchMetadata: true
             }
@@ -858,17 +858,74 @@ export class BulkManager {
             `Re-importing recipe 1/${total}...`
         );
 
+        // Partition the selection: recipes sourced from a CivitAI image page
+        // can be delegated to the companion browser extension (which scrapes
+        // the full page metadata); everything else uses the native endpoint.
+        const delegatable = [];
+        const nativeFilePaths = [];
+        for (const filePath of filePaths) {
+            const recipeItem = recipeMap.get(filePath);
+            const civitaiImage = getCivitaiImageInfo(recipeItem?.source_path);
+            if (civitaiImage && recipeItem?.id) {
+                delegatable.push({
+                    filePath,
+                    recipeId: recipeItem.id,
+                    imageId: civitaiImage.imageId,
+                    imageUrl: civitaiImage.imageUrl,
+                    title: recipeItem.title || '',
+                });
+            } else {
+                nativeFilePaths.push(filePath);
+            }
+        }
+
+        // Probe once; on any probe/delegate failure the delegatable recipes
+        // fall back to the native sequential loop below.
+        if (delegatable.length > 0) {
+            try {
+                const probe = await probeExtension();
+                if (probe?.supported && probe?.licenseValid) {
+                    const batchResult = await delegateReimport(
+                        delegatable.map(({ recipeId, imageId, imageUrl, title }) => ({
+                            recipeId, imageId, imageUrl, title,
+                        })),
+                        {
+                            onProgress: (progress) => {
+                                progressUI.updateProgress(
+                                    Math.floor(((progress.current || 0) / total) * 100),
+                                    progress.title || '',
+                                    translate('toast.recipes.reimportingViaExtension', {
+                                        current: progress.current || 0,
+                                        total,
+                                    })
+                                );
+                            },
+                        }
+                    );
+                    completed += batchResult.completed;
+                    failed += batchResult.failed;
+                } else {
+                    nativeFilePaths.push(...delegatable.map(entry => entry.filePath));
+                }
+            } catch (error) {
+                console.warn('[reimportSelectedRecipes] extension delegation failed, using native path:', error);
+                nativeFilePaths.push(...delegatable.map(entry => entry.filePath));
+            }
+        }
+
         try {
-            for (let i = 0; i < filePaths.length; i++) {
-                const filePath = filePaths[i];
+            const processedBeforeNative = completed + failed;
+            for (let i = 0; i < nativeFilePaths.length; i++) {
+                const filePath = nativeFilePaths[i];
                 const recipeItem = recipeMap.get(filePath);
                 const recipeId = recipeItem?.id;
                 const recipeName = recipeItem?.title || recipeId || 'Unknown';
+                const processed = processedBeforeNative + i;
 
                 progressUI.updateProgress(
-                    Math.floor((i / total) * 100),
+                    Math.floor((processed / total) * 100),
                     recipeName,
-                    `Re-importing recipe ${Math.min(i + 1, total)}/${total}...`
+                    `Re-importing recipe ${Math.min(processed + 1, total)}/${total}...`
                 );
 
                 if (!recipeId) {
@@ -910,76 +967,6 @@ export class BulkManager {
         }
     }
 
-    async repairSelectedRecipes() {
-        if (state.selectedModels.size === 0) {
-            showToast('toast.recipes.noRecipesSelected', {}, 'warning');
-            return;
-        }
-
-        if (state.currentPageType !== 'recipes') {
-            showToast('This operation is only available for recipes', {}, 'warning');
-            return;
-        }
-
-        try {
-            const apiClient = this.getActiveApiClient();
-            const filePaths = Array.from(state.selectedModels);
-
-            if (typeof apiClient.repairBulkModels !== 'function') {
-                showToast('Bulk repair is not supported for this model type', {}, 'error');
-                return;
-            }
-
-            state.loadingManager.showSimpleLoading('Repairing recipe metadata...');
-
-            const result = await apiClient.repairBulkModels(filePaths);
-
-            if (result.success) {
-                const total = result.total || filePaths.length;
-                const repaired = result.repaired || 0;
-                const skipped = result.skipped || 0;
-
-                const recipes = result.recipes || [];
-                for (const recipe of recipes) {
-                    if (recipe.file_path) {
-                        state.virtualScroller.updateSingleItem(
-                            recipe.file_path,
-                            recipe
-                        );
-                    }
-                }
-
-                if (repaired > 0) {
-                    showToast(
-                        'toast.recipes.repairBulkComplete',
-                        { repaired, skipped, total },
-                        'success'
-                    );
-                } else {
-                    showToast(
-                        'toast.recipes.repairBulkSkipped',
-                        { total },
-                        'info'
-                    );
-                }
-
-                if (state.bulkMode) this.toggleBulkMode();
-            } else {
-                throw new Error(result.error || 'Bulk repair failed');
-            }
-        } catch (error) {
-            console.error('Error during bulk recipe repair:', error);
-            showToast('toast.recipes.repairBulkFailed', { message: error.message }, 'error');
-        } finally {
-            if (state.loadingManager?.hide) {
-                state.loadingManager.hide();
-            }
-            if (typeof state.loadingManager?.restoreProgressBar === 'function') {
-                state.loadingManager.restoreProgressBar();
-            }
-        }
-    }
-
     async rematchSelectedRecipes() {
         if (state.selectedModels.size === 0) {
             showToast('toast.recipes.noRecipesSelected', {}, 'warning');

static/js/managers/FilterManager.js

@@ -511,18 +511,21 @@ export class FilterManager {
         filteredModels.forEach(model => {
             const tag = document.createElement('div');
             tag.className = 'filter-tag base-model-tag';
-            tag.dataset.baseModel = model.name;
+            // Display name may differ from the filter value (e.g. the "Unknown"
+            // bucket shows "Unknown" but filters via a dedicated marker).
+            const filterValue = model.value ?? model.name;
+            tag.dataset.baseModel = filterValue;
             tag.innerHTML = `${model.name} <span class="tag-count">${model.count}</span>`;
 
             tag.addEventListener('click', async () => {
                 tag.classList.toggle('active');
 
                 if (tag.classList.contains('active')) {
-                    if (!this.filters.baseModel.includes(model.name)) {
-                        this.filters.baseModel.push(model.name);
+                    if (!this.filters.baseModel.includes(filterValue)) {
+                        this.filters.baseModel.push(filterValue);
                     }
                 } else {
-                    this.filters.baseModel = this.filters.baseModel.filter(m => m !== model.name);
+                    this.filters.baseModel = this.filters.baseModel.filter(m => m !== filterValue);
                 }
 
                 this.updateActiveFiltersCount();

static/js/managers/HelpManager.js

@@ -1,23 +1,16 @@
 import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
+import { onboardingManager } from './OnboardingManager.js';
 
 /**
  * Manages help modal functionality and tutorial update notifications
  */
 export class HelpManager {
     constructor() {
-        this.lastViewedTimestamp = getStorageItem('help_last_viewed', 0);
-        this.latestContentTimestamp = new Date('2025-10-11').getTime(); // Will be updated from server or config
+        // Version of the help content the user has seen. Compared against the
+        // data-help-content-version marker rendered into the help modal markup,
+        // so badge state is always derived from the content actually served.
+        this.viewedContentVersion = getStorageItem('help_viewed_content_version', null);
         this.isInitialized = false;
-        
-        // Default latest content data - could be fetched from server
-        this.latestVideoData = {
-            timestamp: new Date('2024-06-09').getTime(), // Default timestamp
-            walkthrough: {
-                id: 'hvKw31YpE-U',
-                title: 'Getting Started with LoRA Manager'
-            },
-            playlistUpdated: true
-        };
     }
 
     /**
@@ -34,9 +27,6 @@ export class HelpManager {
         // Check if we need to show the badge
         this.updateHelpBadge();
         
-        // Fetch latest video data (could be implemented to fetch from remote source)
-        this.fetchLatestVideoData();
-        
         this.isInitialized = true;
         return this;
     }
@@ -55,77 +45,147 @@ export class HelpManager {
         const tabButtons = document.querySelectorAll('.help-tabs .tab-btn');
         tabButtons.forEach(button => {
             button.addEventListener('click', (event) => {
-                // Remove active class from all buttons and panes
-                document.querySelectorAll('.help-tabs .tab-btn').forEach(btn => {
-                    btn.classList.remove('active');
-                });
-                document.querySelectorAll('.help-content .tab-pane').forEach(pane => {
-                    pane.classList.remove('active');
-                });
-                
-                // Add active class to clicked button
-                event.currentTarget.classList.add('active');
-                
-                // Show corresponding tab content
-                const tabId = event.currentTarget.getAttribute('data-tab');
-                document.getElementById(tabId).classList.add('active');
+                this.activateHelpTab(event.currentTarget.getAttribute('data-tab'));
             });
         });
+
+        // Replay tutorial button in the Getting Started tab
+        const replayTutorialBtn = document.getElementById('replayTutorialBtn');
+        if (replayTutorialBtn) {
+            replayTutorialBtn.addEventListener('click', () => {
+                // Close the help modal, then restart the onboarding tutorial
+                if (window.modalManager) {
+                    window.modalManager.closeModal('helpModal');
+                }
+                onboardingManager.reset();
+                onboardingManager.startTutorial();
+            });
+        }
+
+        // Global "?" shortcut opens the help modal on the Shortcuts tab
+        document.addEventListener('keydown', (event) => {
+            if (event.key !== '?') return;
+            if (this.isTypingContext(event.target)) return;
+            if (window.modalManager?.isAnyModalOpen()) return;
+
+            event.preventDefault();
+            this.openHelpModal('shortcuts');
+        });
+    }
+
+    /**
+     * Check if the event target is a text entry context where "?" is literal input
+     */
+    isTypingContext(target) {
+        if (!(target instanceof Element)) return false;
+
+        const tagName = target.tagName?.toLowerCase();
+        return target.isContentEditable || tagName === 'input' || tagName === 'textarea' || tagName === 'select';
+    }
+
+    /**
+     * Activate a specific help modal tab by its data-tab id
+     * @param {string} tabId - The tab id (matches data-tab and pane element id)
+     */
+    activateHelpTab(tabId) {
+        const tabButton = document.querySelector(`.help-tabs .tab-btn[data-tab="${tabId}"]`);
+        const tabPane = document.getElementById(tabId);
+        if (!tabButton || !tabPane) return;
+
+        // Remove active class from all buttons and panes
+        document.querySelectorAll('.help-tabs .tab-btn').forEach(btn => {
+            btn.classList.remove('active');
+        });
+        document.querySelectorAll('.help-content .tab-pane').forEach(pane => {
+            pane.classList.remove('active');
+        });
+
+        // Activate the requested tab
+        tabButton.classList.add('active');
+        tabPane.classList.add('active');
     }
     
     /**
      * Open the help modal
+     * @param {string} [tabId] - Optional tab id to activate after opening
      */
-    openHelpModal() {
+    openHelpModal(tabId) {
         // Use modalManager to open the help modal
-        if (window.modalManager) {
-            window.modalManager.toggleModal('helpModal');
-            
-            // Add visual indicator to Documentation tab if there's new content
-            this.updateDocumentationTabIndicator();
-            
-            // Update the last viewed timestamp
-            this.markContentAsViewed();
-            
-            // Hide the badge
-            this.hideHelpBadge();
+        if (!window.modalManager) return;
+
+        const hadNewContent = this.hasNewContent();
+
+        window.modalManager.toggleModal('helpModal');
+
+        if (tabId) {
+            this.activateHelpTab(tabId);
         }
+
+        // Only acknowledge the content as viewed when the user opened the
+        // modal while it actually contained new content. Opening a stale
+        // (pre-upgrade) page must not suppress the badge after a refresh.
+        if (hadNewContent) {
+            this.updateNewContentTabIndicators();
+            this.markContentAsViewed();
+        }
+
+        // Hide the badge
+        this.hideHelpBadge();
     }
 
     /**
-     * Add visual indicator to Documentation tab for new content
+     * Add visual indicator to tabs that received new content
      */
-    updateDocumentationTabIndicator() {
-        const docTab = document.querySelector('.tab-btn[data-tab="documentation"]');
-        if (docTab && this.hasNewContent()) {
-            docTab.classList.add('has-new-content');
+    updateNewContentTabIndicators() {
+        if (!this.hasNewContent()) return;
+
+        // Tabs updated in the 2026-09-03 discoverability release:
+        // getting-started (Replay Tutorial button) and shortcuts (new cheat-sheet tab)
+        const NEW_CONTENT_TABS = ['getting-started', 'shortcuts'];
+        NEW_CONTENT_TABS.forEach(tabId => {
+            const tab = document.querySelector(`.help-tabs .tab-btn[data-tab="${tabId}"]`);
+            if (tab) {
+                tab.classList.add('has-new-content');
+            }
+        });
+
+        // Point the indicator at the specific new element inside the
+        // Getting Started tab, and scroll it into view so it is not lost
+        // below the fold of the modal body.
+        const replayBtn = document.getElementById('replayTutorialBtn');
+        if (replayBtn) {
+            replayBtn.classList.add('has-new-content');
+            const gettingStartedActive = document.querySelector('#getting-started.tab-pane.active');
+            if (gettingStartedActive && typeof replayBtn.scrollIntoView === 'function') {
+                replayBtn.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
+            }
         }
     }
     
     /**
-     * Mark content as viewed by saving current timestamp
+     * Mark content as viewed by persisting the version rendered in the DOM.
+     * No-op when the served markup carries no version marker (stale assets),
+     * so viewing old content never suppresses the badge for new content.
      */
     markContentAsViewed() {
-        this.lastViewedTimestamp = Date.now();
-        setStorageItem('help_last_viewed', this.lastViewedTimestamp);
+        const currentVersion = this.getCurrentContentVersion();
+        if (!currentVersion) return;
+
+        this.viewedContentVersion = currentVersion;
+        setStorageItem('help_viewed_content_version', this.viewedContentVersion);
     }
-    
+
     /**
-     * Fetch latest video data (could be implemented to actually fetch from a remote source)
+     * Read the help content version from the rendered modal markup
+     * @returns {string|null} Version marker, or null if the served markup has none
      */
-    fetchLatestVideoData() {
-        // In a real implementation, you'd fetch this from your server
-        // For now, we'll just use the hardcoded data from constructor
-        
-        // Update the timestamp with the latest data
-        this.latestContentTimestamp = Math.max(this.latestContentTimestamp, this.latestVideoData.timestamp);
-        
-        // Check again if we need to show the badge with this new data
-        this.updateHelpBadge();
+    getCurrentContentVersion() {
+        const marker = document.querySelector('[data-help-content-version]');
+        return marker ? marker.getAttribute('data-help-content-version') : null;
     }
-    
+
     /**
-     * Update help badge visibility based on timestamps
+     * Update help badge visibility based on viewed vs. served content version
      */
     updateHelpBadge() {
         if (this.hasNewContent()) {
@@ -134,13 +194,13 @@ export class HelpManager {
             this.hideHelpBadge();
         }
     }
-    
+
     /**
-     * Check if there's new content the user hasn't seen
+     * Check if the served help content is newer than what the user has viewed
      */
     hasNewContent() {
-        // If user has never viewed the help, or the content is newer than last viewed
-        return this.lastViewedTimestamp === 0 || this.latestContentTimestamp > this.lastViewedTimestamp;
+        const currentVersion = this.getCurrentContentVersion();
+        return Boolean(currentVersion) && currentVersion !== this.viewedContentVersion;
     }
     
     /**

static/js/managers/OnboardingManager.js

@@ -43,7 +43,7 @@ export class OnboardingManager {
             {
                 target: '.controls .action-buttons [data-action="bulk"]',
                 title: () => translate('onboarding.steps.bulk.title', {}, 'Bulk Operations'),
-                content: () => translate('onboarding.steps.bulk.content', {}, 'Enter bulk mode by clicking this button or pressing <span class="onboarding-shortcut">B</span>. Select multiple models and perform batch operations. Use <span class="onboarding-shortcut">Ctrl+A</span> to select all visible models.'),
+                content: () => translate('onboarding.steps.bulk.content', {}, 'Enter bulk mode by clicking this button or pressing <span class="onboarding-shortcut">B</span> to select multiple models and perform batch operations.<br>• <span class="onboarding-shortcut">Ctrl/Cmd+A</span> select all visible models, <span class="onboarding-shortcut">Shift+Click</span> select a range.<br>• <span class="onboarding-shortcut">Esc</span> or clicking an empty area exits bulk mode.'),
                 position: 'bottom'
             },
             {
@@ -71,10 +71,30 @@ export class OnboardingManager {
                 position: 'top',
                 customPosition: { top: '20%', left: '50%' }
             },
+            {
+                target: '.card-grid',
+                title: () => translate('onboarding.steps.marqueeSelect.title', {}, 'Drag to Select'),
+                content: () => translate('onboarding.steps.marqueeSelect.content', {}, 'Hold the <strong>left mouse button</strong> on an empty area of the grid and drag to draw a marquee that selects multiple cards at once.'),
+                position: 'top',
+                customPosition: { top: '20%', left: '50%' }
+            },
+            {
+                target: '#folderSidebar',
+                title: () => translate('onboarding.steps.dragToSidebar.title', {}, 'Organize by Dragging'),
+                content: () => translate('onboarding.steps.dragToSidebar.content', {}, 'Drag a model card onto a folder in the sidebar to move the file there. This also works with multiple selected cards in bulk mode.'),
+                position: 'right'
+            },
             {
                 target: '.card-grid',
                 title: () => translate('onboarding.steps.contextMenu.title', {}, 'Context Menu'),
-                content: () => translate('onboarding.steps.contextMenu.content', {}, '<strong>Right-click</strong> any model card for a context menu with additional actions.'),
+                content: () => translate('onboarding.steps.contextMenu.content', {}, '<strong>Right-click</strong> any model card for a context menu with card actions like moving, deleting, or editing metadata.'),
+                position: 'top',
+                customPosition: { top: '20%', left: '50%' }
+            },
+            {
+                target: '.card-grid',
+                title: () => translate('onboarding.steps.contextMenus.title', {}, 'More Context Menus'),
+                content: () => translate('onboarding.steps.contextMenus.content', {}, 'In bulk mode, <strong>right-click a selected card</strong> for bulk actions. <strong>Right-click an empty area</strong> of the page for global actions like update checks and managing excluded models.'),
                 position: 'top',
                 customPosition: { top: '20%', left: '50%' }
             }

static/js/managers/SettingsManager.js

@@ -1047,6 +1047,12 @@ export class SettingsManager {
             groupByModelCheckbox.checked = !!state.global.settings.group_by_model;
         }
 
+        // Set sticky controls
+        const stickyControlsCheckbox = document.getElementById('stickyControls');
+        if (stickyControlsCheckbox) {
+            stickyControlsCheckbox.checked = !!state.global.settings.sticky_controls;
+        }
+
         // Set model name display setting
         const modelNameDisplaySelect = document.getElementById('modelNameDisplay');
         if (modelNameDisplaySelect) {
@@ -3396,6 +3402,10 @@ export class SettingsManager {
         const groupByModel = !!state.global.settings.group_by_model;
         document.body.classList.toggle('group-by-model', groupByModel);
 
+        // Apply sticky controls mode (keeps the action bar visible while scrolling)
+        const stickyControls = !!state.global.settings.sticky_controls;
+        document.body.classList.toggle('sticky-controls', stickyControls);
+
     }
 }
 

static/js/state/index.js

@@ -59,6 +59,7 @@ const DEFAULT_SETTINGS_BASE = Object.freeze({
     strip_lora_on_copy: false,
     use_new_license_icons: true,
     group_by_model: false,
+    sticky_controls: false,
     llm_provider: 'openai',
     llm_api_key: '',
     llm_api_base: '',

static/js/utils/activeFiltersSync.js

@@ -0,0 +1,61 @@
+/**
+ * Mirrors the manager page's active filter state to the backend's in-memory
+ * store, so the ComfyUI-side autocomplete can apply it even when the manager
+ * page and ComfyUI run in different browsers/origins (localStorage is not
+ * shared there).
+ */
+
+import { getStorageItem, setActiveFiltersListener } from './storageHelpers.js';
+import { debounce } from './debounce.js';
+
+const SYNC_DEBOUNCE_MS = 300;
+
+const debouncedPushByPage = {};
+
+function buildActiveFiltersPayload(pageType) {
+    const activeFolder = getStorageItem(`${pageType}_activeFolder`);
+    const recursiveSearch = getStorageItem(`${pageType}_recursiveSearch`, true);
+    const filters = getStorageItem(`${pageType}_filters`);
+
+    return {
+        // null stays null; legacy "null" string is normalized to null
+        activeFolder: activeFolder && activeFolder !== 'null' ? activeFolder : null,
+        recursiveSearch: recursiveSearch !== false,
+        filters: filters && typeof filters === 'object' ? filters : null,
+    };
+}
+
+export async function pushActiveFilters(pageType) {
+    try {
+        const response = await fetch(`/api/lm/${pageType}/active-filters`, {
+            method: 'PUT',
+            headers: { 'Content-Type': 'application/json' },
+            body: JSON.stringify(buildActiveFiltersPayload(pageType)),
+        });
+        if (!response.ok) {
+            console.warn(`[Lora Manager] Failed to sync active filters for ${pageType}: HTTP ${response.status}`);
+        }
+    } catch (error) {
+        console.warn(`[Lora Manager] Failed to sync active filters for ${pageType}:`, error);
+    }
+}
+
+export function syncActiveFilters(pageType) {
+    if (!debouncedPushByPage[pageType]) {
+        debouncedPushByPage[pageType] = debounce(() => {
+            pushActiveFilters(pageType);
+        }, SYNC_DEBOUNCE_MS);
+    }
+    debouncedPushByPage[pageType]();
+}
+
+/**
+ * Register the storage listener and push the current (restored) state once.
+ * The initial push covers server restarts, where the backend store is empty
+ * until the manager page re-publishes its localStorage-restored filters.
+ * @param {string} pageType - 'loras' | 'checkpoints' | 'embeddings'
+ */
+export function initActiveFiltersSync(pageType) {
+    setActiveFiltersListener((changedPageType) => syncActiveFilters(changedPageType));
+    pushActiveFilters(pageType);
+}

static/js/utils/civitaiUtils.js

@@ -9,8 +9,13 @@
 export const OptimizationMode = {
     /** Full quality for showcase/display - uses /optimized=true only */
     SHOWCASE: 'showcase',
+    /** In-modal display - caps image width at 2400 (covers the ~1200 CSS px
+     * main viewer at DPR 2); videos stay full quality */
+    DISPLAY: 'display',
     /** Thumbnail size for cards - uses /width=450,optimized=true */
     THUMBNAIL: 'thumbnail',
+    /** Small thumbnails for the showcase gallery strip (72px display) - uses /width=160,optimized=true */
+    GALLERY_THUMBNAIL: 'gallery-thumbnail',
 };
 
 export const DEFAULT_CIVITAI_PAGE_HOST = 'civitai.com';
@@ -95,15 +100,21 @@ export function rewriteCivitaiUrl(sourceUrl, mediaType = null, mode = Optimizati
         }
 
         // Determine replacement based on mode and media type
+        const isVideo = Boolean(mediaType && mediaType.toLowerCase() === 'video');
         let replacement;
         if (mode === OptimizationMode.SHOWCASE) {
             // Full quality for showcase - no width restriction
             replacement = '/optimized=true';
+        } else if (mode === OptimizationMode.DISPLAY) {
+            // Display mode caps image width for in-modal viewing; videos stay
+            // full quality (CDN transcoding costs more than it saves here)
+            replacement = isVideo ? '/optimized=true' : '/width=2400,optimized=true';
         } else {
-            // Thumbnail mode with width restriction
-            replacement = '/width=450,optimized=true';
-            if (mediaType && mediaType.toLowerCase() === 'video') {
-                replacement = '/transcode=true,width=450,optimized=true';
+            // Thumbnail modes with width restriction
+            const width = mode === OptimizationMode.GALLERY_THUMBNAIL ? 160 : 450;
+            replacement = `/width=${width},optimized=true`;
+            if (isVideo) {
+                replacement = `/transcode=true,width=${width},optimized=true`;
             }
         }
 
@@ -150,6 +161,19 @@ export function getShowcaseUrl(url, type = 'image') {
     return getOptimizedUrl(url, type, OptimizationMode.SHOWCASE);
 }
 
+/**
+ * Get display-optimized URL for the in-modal main viewer (images capped at
+ * width=2400; videos full quality). Use getShowcaseUrl for full-size viewing
+ * (e.g. the media viewer overlay)
+ *
+ * @param {string} url - Original URL
+ * @param {string} type - Media type ("image" or "video")
+ * @returns {string} - Optimized URL for in-modal display
+ */
+export function getDisplayUrl(url, type = 'image') {
+    return getOptimizedUrl(url, type, OptimizationMode.DISPLAY);
+}
+
 /**
  * Get thumbnail-optimized URL (width=450)
  * 
@@ -161,6 +185,17 @@ export function getThumbnailUrl(url, type = 'image') {
     return getOptimizedUrl(url, type, OptimizationMode.THUMBNAIL);
 }
 
+/**
+ * Get gallery-strip-thumbnail-optimized URL (width=160, for the 72px strip)
+ *
+ * @param {string} url - Original URL
+ * @param {string} type - Media type ("image" or "video")
+ * @returns {string} - Optimized URL for gallery strip thumbnail display
+ */
+export function getGalleryThumbnailUrl(url, type = 'image') {
+    return getOptimizedUrl(url, type, OptimizationMode.GALLERY_THUMBNAIL);
+}
+
 /**
  * Check if a URL is from CivitAI
  *

static/js/utils/extensionReimportBridge.js

@@ -0,0 +1,220 @@
+/**
+ * Bridge to the companion LoRA Manager browser extension.
+ *
+ * The extension can re-import recipes sourced from CivitAI image pages with
+ * the complete page metadata (internal trpc data scraped with the user's
+ * session), fixing recipes that the native import (REST API + EXIF only)
+ * saved with 0 LoRAs.
+ *
+ * Protocol: DOM CustomEvents on `document`; `detail` is ALWAYS a JSON
+ * string on both sides.
+ *
+ *   LM page -> extension: `lm:reimportProbe`, detail `{}`.
+ *   extension -> LM page: `lm:reimportProbeResult`,
+ *     detail `{supported, licenseValid, extensionVersion?, reason?}`.
+ *   LM page -> extension: `lm:reimportViaExtension`,
+ *     detail `{requestId, recipes: [{recipeId, imageId, imageUrl, title}]}`.
+ *   extension -> LM page: `lm:reimportProgress`,
+ *     detail `{requestId, current, total, recipeId, title, status, message?}`.
+ *   extension -> LM page: `lm:reimportBatchDone`,
+ *     detail `{requestId, completed, failed}`.
+ */
+
+const PROBE_EVENT = 'lm:reimportProbe';
+const PROBE_RESULT_EVENT = 'lm:reimportProbeResult';
+const REIMPORT_EVENT = 'lm:reimportViaExtension';
+const PROGRESS_EVENT = 'lm:reimportProgress';
+const BATCH_DONE_EVENT = 'lm:reimportBatchDone';
+
+const DEFAULT_PROBE_TIMEOUT_MS = 500;
+// Generous batch timeout; any progress event resets it (heartbeat).
+const DEFAULT_REIMPORT_TIMEOUT_MS = 3 * 60 * 1000;
+
+// Mirrors py/utils/civitai_utils.py (_SUPPORTED_CIVITAI_PAGE_HOSTS).
+const SUPPORTED_CIVITAI_PAGE_HOSTS = new Set([
+    'civitai.com',
+    'civitai.red',
+    'civitai.green',
+]);
+
+/**
+ * Parse the JSON-string `detail` of a protocol event.
+ * @param {CustomEvent} event
+ * @returns {object|null} Parsed detail object, or null when absent/invalid.
+ */
+function parseDetail(event) {
+    try {
+        const detail = JSON.parse(event?.detail ?? 'null');
+        return detail && typeof detail === 'object' ? detail : null;
+    } catch {
+        return null;
+    }
+}
+
+/**
+ * Dispatch a protocol event with a JSON-stringified detail.
+ * @param {string} type - Event name.
+ * @param {object} payload - Detail payload (JSON-stringified).
+ */
+function dispatchProtocolEvent(type, payload) {
+    document.dispatchEvent(
+        new CustomEvent(type, { detail: JSON.stringify(payload ?? {}) })
+    );
+}
+
+/**
+ * Generate a correlation id for a re-import batch.
+ * @returns {string}
+ */
+function generateRequestId() {
+    if (globalThis.crypto?.randomUUID) {
+        return globalThis.crypto.randomUUID();
+    }
+    return `lm-${Date.now()}-${Math.random().toString(36).slice(2, 10)}`;
+}
+
+/**
+ * Probe whether the companion extension is installed and usable.
+ *
+ * @param {{timeoutMs?: number}} [options]
+ * @returns {Promise<{supported: boolean, licenseValid: boolean, extensionVersion?: string, reason?: string}|null>}
+ *   Resolves with the probe result, or null when the extension is absent or
+ *   too old to answer (timeout).
+ */
+export function probeExtension({ timeoutMs = DEFAULT_PROBE_TIMEOUT_MS } = {}) {
+    return new Promise((resolve) => {
+        let settled = false;
+        const timer = setTimeout(() => finish(null), timeoutMs);
+
+        const finish = (value) => {
+            if (settled) return;
+            settled = true;
+            clearTimeout(timer);
+            document.removeEventListener(PROBE_RESULT_EVENT, onResult);
+            resolve(value);
+        };
+
+        const onResult = (event) => {
+            const detail = parseDetail(event);
+            if (!detail) return;
+            finish({
+                supported: Boolean(detail.supported),
+                licenseValid: Boolean(detail.licenseValid),
+                extensionVersion: detail.extensionVersion,
+                reason: detail.reason,
+            });
+        };
+
+        document.addEventListener(PROBE_RESULT_EVENT, onResult);
+        dispatchProtocolEvent(PROBE_EVENT, {});
+    });
+}
+
+/**
+ * Delegate a batch of recipe re-imports to the companion extension.
+ *
+ * @param {Array<{recipeId: string, imageId: number, imageUrl: string, title: string}>} recipes
+ * @param {{onProgress?: (progress: object) => void, timeoutMs?: number}} [options]
+ * @returns {Promise<{completed: number, failed: number}>} Resolves on
+ *   `lm:reimportBatchDone`; rejects on timeout. Listeners are cleaned up in
+ *   all outcomes.
+ */
+export function delegateReimport(recipes, { onProgress, timeoutMs = DEFAULT_REIMPORT_TIMEOUT_MS } = {}) {
+    return new Promise((resolve, reject) => {
+        if (!Array.isArray(recipes) || recipes.length === 0) {
+            reject(new Error('delegateReimport requires a non-empty recipe list'));
+            return;
+        }
+
+        const requestId = generateRequestId();
+        let settled = false;
+        let timer = null;
+
+        const cleanup = () => {
+            clearTimeout(timer);
+            document.removeEventListener(PROGRESS_EVENT, onProgressEvent);
+            document.removeEventListener(BATCH_DONE_EVENT, onBatchDone);
+        };
+        const succeed = (value) => {
+            if (settled) return;
+            settled = true;
+            cleanup();
+            resolve(value);
+        };
+        const fail = (error) => {
+            if (settled) return;
+            settled = true;
+            cleanup();
+            reject(error);
+        };
+        const armTimer = () => {
+            clearTimeout(timer);
+            timer = setTimeout(
+                () => fail(new Error('Extension re-import timed out')),
+                timeoutMs
+            );
+        };
+
+        const onProgressEvent = (event) => {
+            const detail = parseDetail(event);
+            if (!detail || detail.requestId !== requestId) return;
+            // Heartbeat: any progress for this batch resets the timeout.
+            armTimer();
+            if (typeof onProgress === 'function') {
+                try {
+                    onProgress(detail);
+                } catch (error) {
+                    console.error('[extensionReimportBridge] onProgress callback failed:', error);
+                }
+            }
+        };
+        const onBatchDone = (event) => {
+            const detail = parseDetail(event);
+            if (!detail || detail.requestId !== requestId) return;
+            succeed({
+                completed: Number.isInteger(detail.completed) ? detail.completed : 0,
+                failed: Number.isInteger(detail.failed) ? detail.failed : 0,
+            });
+        };
+
+        document.addEventListener(PROGRESS_EVENT, onProgressEvent);
+        document.addEventListener(BATCH_DONE_EVENT, onBatchDone);
+        armTimer();
+        dispatchProtocolEvent(REIMPORT_EVENT, { requestId, recipes });
+    });
+}
+
+/**
+ * Extract CivitAI image page info from a recipe source_path.
+ * Mirrors py/utils/civitai_utils.py `extract_civitai_image_id`.
+ *
+ * @param {string|null} sourcePath - Recipe source_path.
+ * @returns {{imageId: number, imageUrl: string}|null} Null when the path is
+ *   not a `/images/<id>` URL on civitai.com/.red/.green.
+ */
+export function getCivitaiImageInfo(sourcePath) {
+    if (!sourcePath || typeof sourcePath !== 'string') {
+        return null;
+    }
+
+    let parsed;
+    try {
+        parsed = new URL(sourcePath);
+    } catch {
+        return null;
+    }
+
+    if (parsed.protocol !== 'http:' && parsed.protocol !== 'https:') {
+        return null;
+    }
+    if (!SUPPORTED_CIVITAI_PAGE_HOSTS.has(parsed.hostname.toLowerCase())) {
+        return null;
+    }
+
+    const pathMatch = parsed.pathname.match(/\/images\/(\d+)/);
+    if (!pathMatch) {
+        return null;
+    }
+
+    return { imageId: Number(pathMatch[1]), imageUrl: sourcePath };
+}

static/js/utils/renderingCapability.js

@@ -0,0 +1,66 @@
+/**
+ * Software-rendering detection for degrading expensive visual effects.
+ *
+ * With hardware acceleration disabled (or a GPU blocklisted), Chrome rasterizes
+ * in software. A full-viewport `backdrop-filter: blur()` then forces a per-frame
+ * CPU blur over everything painted behind the modal, freezing the entire
+ * browser (issue #1092). When software rendering is detected we add the
+ * `no-modal-backdrop-blur` class to <html>, and CSS drops the backdrop blur.
+ */
+
+const SOFTWARE_RENDERER_PATTERN = /swiftshader|llvmpipe|softpipe|software|basic render/i;
+
+/**
+ * Check a WebGL renderer string against known software rasterizers.
+ * @param {string} renderer - UNMASKED_RENDERER_WEBGL string
+ * @returns {boolean}
+ */
+export function isSoftwareRendererString(renderer) {
+    return SOFTWARE_RENDERER_PATTERN.test(renderer || '');
+}
+
+/**
+ * Read the unmasked WebGL renderer string, or null when unavailable/masked.
+ * @returns {string|null}
+ */
+function getWebGLRendererString() {
+    const canvas = document.createElement('canvas');
+    const gl = canvas.getContext('webgl') || canvas.getContext('experimental-webgl');
+    if (!gl) return null;
+
+    const debugInfo = gl.getExtension('WEBGL_debug_renderer_info');
+    const renderer = debugInfo
+        ? String(gl.getParameter(debugInfo.UNMASKED_RENDERER_WEBGL) || '')
+        : '';
+
+    const loseContext = gl.getExtension('WEBGL_lose_context');
+    if (loseContext) loseContext.loseContext();
+
+    return renderer || null;
+}
+
+/**
+ * Heuristic: is the browser rasterizing in software?
+ * - No WebGL at all: no evidence of GPU acceleration, assume software.
+ * - Masked renderer string or detection failure: cannot tell, keep effects on.
+ * @returns {boolean}
+ */
+export function isSoftwareRendering() {
+    try {
+        const renderer = getWebGLRendererString();
+        if (renderer === null) {
+            return true;
+        }
+        return isSoftwareRendererString(renderer);
+    } catch (error) {
+        return true;
+    }
+}
+
+/**
+ * Toggle the blur-disabling class on <html>. Runs once at app startup.
+ * @param {boolean} [isSoftware] - Override for tests; defaults to detection.
+ */
+export function applyModalBackdropBlurPolicy(isSoftware = isSoftwareRendering()) {
+    document.documentElement.classList.toggle('no-modal-backdrop-blur', isSoftware);
+}

static/js/utils/scanEtaUtils.js

@@ -0,0 +1,61 @@
+import { translate } from './i18nHelpers.js';
+
+/**
+ * Format a remaining-time estimate for scan progress display.
+ * @param {number} remainingMs - Estimated remaining time in milliseconds
+ * @returns {string} Localized ETA text
+ */
+export function formatScanRemainingTime(remainingMs) {
+    if (remainingMs < 60000) {
+        return translate('common.scanProgress.eta.lessThanMinute', {}, 'Less than a minute remaining');
+    }
+    if (remainingMs < 3600000) {
+        const minutes = Math.round(remainingMs / 60000);
+        return translate('common.scanProgress.eta.minutes', { minutes }, `~${minutes} min remaining`);
+    }
+    const hours = Math.floor(remainingMs / 3600000);
+    const minutes = Math.round((remainingMs % 3600000) / 60000);
+    return translate('common.scanProgress.eta.hours', { hours, minutes }, `~${hours} hr ${minutes} min remaining`);
+}
+
+/**
+ * Create an ETA tracker for scan progress. Uses an exponential moving
+ * average (0.7/0.3) over the observed per-file processing time, mirroring
+ * the estimator in components/initialization.js.
+ * @returns {{ update: (processed: number, total: number) => (string|null) }}
+ */
+export function createScanEtaTracker() {
+    let startTime = null;
+    let lastProcessed = 0;
+    let averageMsPerFile = null;
+
+    return {
+        /**
+         * Update with the latest counters.
+         * @returns {string|null} Localized ETA text, or null when not applicable
+         */
+        update(processed, total) {
+            if (!total || total <= 0 || processed >= total) {
+                return null;
+            }
+            const now = Date.now();
+            if (startTime === null) {
+                // First sample only anchors the timer; not enough data yet
+                startTime = now;
+                lastProcessed = processed;
+                return translate('initialization.estimatingTime', {}, 'Estimating time...');
+            }
+            if (processed > lastProcessed) {
+                const msPerFile = (now - startTime) / processed;
+                averageMsPerFile = averageMsPerFile === null
+                    ? msPerFile
+                    : averageMsPerFile * 0.7 + msPerFile * 0.3;
+                lastProcessed = processed;
+            }
+            if (averageMsPerFile === null) {
+                return translate('initialization.estimatingTime', {}, 'Estimating time...');
+            }
+            return formatScanRemainingTime((total - lastProcessed) * averageMsPerFile);
+        }
+    };
+}

static/js/utils/storageHelpers.js

@@ -6,6 +6,31 @@
 // Namespace prefix for all localStorage keys
 const STORAGE_PREFIX = 'lora_manager_';
 
+// Matches keys that carry the manager page's active filter state
+// (e.g. 'loras_activeFolder', 'checkpoints_filters').
+const ACTIVE_FILTER_KEY_PATTERN = /^(loras|checkpoints|embeddings)_(activeFolder|recursiveSearch|filters)$/;
+
+let activeFiltersListener = null;
+
+/**
+ * Register a listener invoked with the page type whenever one of the
+ * active-filter storage keys changes. Used to mirror filter state to the
+ * backend so the ComfyUI-side autocomplete can pick it up across
+ * browsers/origins where localStorage is not shared.
+ * @param {function(string): void} listener
+ */
+export function setActiveFiltersListener(listener) {
+    activeFiltersListener = listener;
+}
+
+function notifyActiveFiltersChanged(key) {
+    if (!activeFiltersListener) return;
+    const match = ACTIVE_FILTER_KEY_PATTERN.exec(key);
+    if (match) {
+        activeFiltersListener(match[1]);
+    }
+}
+
 /**
  * Get an item from localStorage with namespace support and fallback to legacy keys
  * @param {string} key - The key without prefix
@@ -51,13 +76,15 @@ export function getStorageItem(key, defaultValue = null) {
  */
 export function setStorageItem(key, value) {
     const prefixedKey = STORAGE_PREFIX + key;
-    
+
     // Convert objects and arrays to JSON strings
     if (typeof value === 'object' && value !== null) {
         localStorage.setItem(prefixedKey, JSON.stringify(value));
     } else {
         localStorage.setItem(prefixedKey, value);
     }
+
+    notifyActiveFiltersChanged(key);
 }
 
 /**
@@ -67,6 +94,8 @@ export function setStorageItem(key, value) {
 export function removeStorageItem(key) {
     localStorage.removeItem(STORAGE_PREFIX + key);
     localStorage.removeItem(key); // Also remove legacy key
+
+    notifyActiveFiltersChanged(key);
 }
 
 /**

static/js/utils/uiHelpers.js

@@ -311,6 +311,20 @@ export function showActionToast(key, params = {}, type = 'info', options = {}) {
   toast.append(closeBtn);
 }
 
+/**
+ * Check whether the event target is a text-entry context (input, textarea,
+ * select, or contenteditable) where single-letter shortcuts should be treated
+ * as literal input.
+ * @param {EventTarget|null} target - The DOM event target
+ * @returns {boolean}
+ */
+export function isTypingContext(target) {
+  if (!(target instanceof Element)) return false;
+
+  const tagName = target.tagName?.toLowerCase();
+  return target.isContentEditable || tagName === 'input' || tagName === 'textarea' || tagName === 'select';
+}
+
 export function restoreFolderFilter() {
   const activeFolder = getStorageItem('activeFolder');
   const folderTag = activeFolder && document.querySelector(`.tag[data-folder="${activeFolder}"]`);

templates/checkpoints.html

@@ -54,8 +54,10 @@
 {% endblock %}
 
 {% block content %}
+    <div class="sticky-topbar">
     {% include 'components/controls.html' %}
     {% include 'components/breadcrumb.html' %}
+    </div>
     {% include 'components/duplicates_banner.html' %}
     {% include 'components/folder_sidebar.html' %}
     

templates/components/context_menu.html

@@ -94,9 +94,6 @@
         <div class="context-menu-item" data-action="check-updates">
             <i class="fas fa-bell"></i> <span>{{ t('loras.bulkOperations.checkUpdates') }}</span>
         </div>
-        <div class="context-menu-item" data-action="repair-metadata">
-            <i class="fas fa-tools"></i> <span>{{ t('loras.bulkOperations.repairMetadata') }}</span> (Deprecated)
-        </div>
         <div class="context-menu-item" data-action="rematch-metadata">
             <i class="fas fa-link"></i> <span>{{ t('loras.bulkOperations.rematchMetadata') }}</span>
         </div>
@@ -202,9 +199,6 @@
         <i class="fas fa-layer-group"></i> <span>{{ t('globalContextMenu.groupByModel.label') }}</span>
         <i class="fas fa-check check-indicator" style="margin-left:auto;display:none"></i>
     </div>
-    <div class="context-menu-item" data-action="repair-recipes">
-        <i class="fas fa-tools"></i> <span>{{ t('globalContextMenu.repairRecipes.label') }}</span> (Deprecated)
-    </div>
     <div class="context-menu-item" data-action="rematch-recipes">
         <i class="fas fa-link"></i> <span>{{ t('globalContextMenu.rematchRecipes.label') }}</span>
     </div>

templates/components/controls.html

@@ -65,7 +65,7 @@
                 </select>
             </div>
             <div title="{% if page_id == 'recipes' %}{{ t('recipes.controls.refresh.title') }}{% else %}{{ t('loras.controls.refresh.title') }}{% endif %}" class="control-group dropdown-group">
-                <button data-action="refresh" class="dropdown-main"><i class="fas fa-sync"></i> <span>{{ t('common.actions.refresh') }}</span></button>
+                <button data-action="refresh" class="dropdown-main"><i class="fas fa-sync"></i> <span><span>{{ t('common.actions.refresh') }}</span> <kbd class="shortcut-key">R</kbd></span></button>
                 <button class="dropdown-toggle" aria-label="Show refresh options">
                     <i class="fas fa-caret-down"></i>
                 </button>
@@ -78,11 +78,11 @@
             
             {% if page_id != 'recipes' %}
             <div class="control-group">
-                <button data-action="fetch" title="{{ t('loras.controls.fetch.title') }}"><i class="fas fa-download"></i> <span>{{ t('loras.controls.fetch.action') }}</span></button>
+                <button data-action="fetch" title="{{ t('loras.controls.fetch.title') }}"><i class="fas fa-download"></i> <span><span>{{ t('loras.controls.fetch.action') }}</span> <kbd class="shortcut-key">F</kbd></span></button>
             </div>
             <div class="control-group">
                 <button data-action="download" title="{{ t('loras.controls.download.title') }}">
-                    <i class="fas fa-cloud-download-alt"></i> <span>{{ t('loras.controls.download.action') }}</span>
+                    <i class="fas fa-cloud-download-alt"></i> <span><span>{{ t('loras.controls.download.action') }}</span> <kbd class="shortcut-key">D</kbd></span>
                 </button>
             </div>
             {% endif %}
@@ -96,7 +96,7 @@
             {% endif %}
             <div class="control-group">
                 <button id="bulkOperationsBtn" data-action="bulk" title="{{ t('loras.controls.bulk.title') }}">
-                    <i class="fas fa-th-large"></i> <span><span>{{ t('loras.controls.bulk.action') }}</span> <div class="shortcut-key">B</div></span>
+                    <i class="fas fa-th-large"></i> <span><span>{{ t('loras.controls.bulk.action') }}</span> <kbd class="shortcut-key">B</kbd></span>
                 </button>
             </div>
             <div class="control-group">

templates/components/modals/help_modal.html

@@ -1,5 +1,5 @@
 <!-- Help Modal -->
-<div id="helpModal" class="modal">
+<div id="helpModal" class="modal" data-help-content-version="2026-09-03">
     <div class="modal-content help-modal">
         <button class="close" onclick="modalManager.closeModal('helpModal')">&times;</button>
         <div class="help-header">
@@ -10,6 +10,7 @@
             <button class="tab-btn active" data-tab="getting-started">{{ t('help.tabs.gettingStarted') }}</button>
             <button class="tab-btn" data-tab="update-vlogs">{{ t('help.tabs.updateVlogs') }}</button>
             <button class="tab-btn" data-tab="documentation">{{ t('help.tabs.documentation') }}</button>
+            <button class="tab-btn" data-tab="shortcuts">{{ t('help.tabs.shortcuts') }}</button>
         </div>
         
         <div class="help-content">
@@ -39,6 +40,13 @@
                         <li><strong>Recipe System:</strong> Create, save and share your perfect combinations</li>
                     </ul>
                 </div>
+                <div class="help-actions">
+                    <button id="replayTutorialBtn" class="replay-tutorial-btn">
+                        <i class="fas fa-graduation-cap"></i>
+                        <span>{{ t('help.gettingStarted.replayTutorial') }}</span>
+                        <span class="new-content-badge">{{ t('help.newContentBadge') }}</span>
+                    </button>
+                </div>
             </div>
             
             <!-- Update Vlogs Tab -->
@@ -136,6 +144,126 @@
                     </ul>
                 </div>
             </div>
+            <!-- Shortcuts Tab -->
+            <div class="tab-pane" id="shortcuts">
+                <h3>{{ t('help.shortcuts.title') }}</h3>
+
+                <div class="shortcuts-section">
+                    <h4><i class="fas fa-keyboard"></i> {{ t('help.shortcuts.groups.general') }}</h4>
+                    <ul class="shortcuts-list">
+                        <li>
+                            <span class="shortcut-keys"><kbd>Ctrl</kbd><span class="shortcut-sep">/</span><kbd>Cmd</kbd><span class="shortcut-sep">+</span><kbd>F</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.focusSearch') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>Esc</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.closeModal') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>?</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.openShortcuts') }}</span>
+                        </li>
+                    </ul>
+                </div>
+
+                <div class="shortcuts-section">
+                    <h4><i class="fas fa-bolt"></i> {{ t('help.shortcuts.groups.actions') }}</h4>
+                    <ul class="shortcuts-list">
+                        <li>
+                            <span class="shortcut-keys"><kbd>R</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.refresh') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>F</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.fetchMetadata') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>D</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.downloadModel') }}</span>
+                        </li>
+                    </ul>
+                </div>
+
+                <div class="shortcuts-section">
+                    <h4><i class="fas fa-object-group"></i> {{ t('help.shortcuts.groups.selection') }}</h4>
+                    <ul class="shortcuts-list">
+                        <li>
+                            <span class="shortcut-keys"><kbd>B</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.toggleBulkMode') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>Ctrl</kbd><span class="shortcut-sep">/</span><kbd>Cmd</kbd><span class="shortcut-sep">+</span><kbd>A</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.selectAll') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>Shift</kbd><span class="shortcut-sep">+</span><kbd>{{ t('help.shortcuts.keys.click') }}</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.rangeSelect') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>{{ t('help.shortcuts.keys.drag') }}</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.marqueeSelect') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>Esc</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.exitBulkMode') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>{{ t('help.shortcuts.keys.rightClick') }}</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.bulkActions') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>{{ t('help.shortcuts.keys.rightClick') }}</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.globalActions') }}</span>
+                        </li>
+                    </ul>
+                </div>
+
+                <div class="shortcuts-section">
+                    <h4><i class="fas fa-arrows-alt-v"></i> {{ t('help.shortcuts.groups.navigation') }}</h4>
+                    <ul class="shortcuts-list">
+                        <li>
+                            <span class="shortcut-keys"><kbd>PageUp</kbd><span class="shortcut-sep">/</span><kbd>PageDown</kbd><span class="shortcut-sep">/</span><kbd>Home</kbd><span class="shortcut-sep">/</span><kbd>End</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.scrollPages') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>Alt</kbd><span class="shortcut-sep">+</span><kbd>{{ t('help.shortcuts.keys.letter') }}</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.jumpAlphabet') }}</span>
+                        </li>
+                    </ul>
+                </div>
+
+                <div class="shortcuts-section">
+                    <h4><i class="fas fa-window-restore"></i> {{ t('help.shortcuts.groups.modelModal') }}</h4>
+                    <ul class="shortcuts-list">
+                        <li>
+                            <span class="shortcut-keys"><kbd>&larr;</kbd><span class="shortcut-sep">/</span><kbd>&rarr;</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.prevNext') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>Delete</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.deleteEntry') }}</span>
+                        </li>
+                    </ul>
+                </div>
+
+                <div class="shortcuts-section">
+                    <h4><i class="fas fa-images"></i> {{ t('help.shortcuts.groups.mediaViewer') }}</h4>
+                    <ul class="shortcuts-list">
+                        <li>
+                            <span class="shortcut-keys"><kbd>&larr;</kbd><span class="shortcut-sep">/</span><kbd>&rarr;</kbd><span class="shortcut-sep">/</span><kbd>[</kbd><span class="shortcut-sep">/</span><kbd>]</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.cycleMedia') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>{{ t('help.shortcuts.keys.swipe') }}</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.swipeTouch') }}</span>
+                        </li>
+                        <li>
+                            <span class="shortcut-keys"><kbd>Esc</kbd></span>
+                            <span class="shortcut-description">{{ t('help.shortcuts.entries.closeViewer') }}</span>
+                        </li>
+                    </ul>
+                </div>
+            </div>
         </div>
     </div>
 </div>

templates/components/modals/settings/interface.html

@@ -79,6 +79,9 @@
         <!-- Group by model toggle -->
         {{ sm.setting_toggle('groupByModel', 'group_by_model', 'settings.layoutSettings.groupByModel', 'settings.layoutSettings.groupByModelHelp') }}
 
+        <!-- Sticky controls toggle -->
+        {{ sm.setting_toggle('stickyControls', 'sticky_controls', 'settings.layoutSettings.stickyControls', 'settings.layoutSettings.stickyControlsHelp') }}
+
         {{ sm.setting_select('cardInfoDisplay', 'card_info_display', 'settings.layoutSettings.cardInfoDisplay', [
             ('always', 'settings.layoutSettings.cardInfoDisplayOptions.always'),
             ('hover', 'settings.layoutSettings.cardInfoDisplayOptions.hover'),

templates/components/recipe_modal.html

@@ -144,5 +144,8 @@
             </div>
         </div>
     </div>
-</div>
+
+        <!-- Meta footer: file location + recipe ID, populated by RecipeModal.syncMetaFooter() -->
+        <footer class="recipe-meta-footer" id="recipeMetaFooter" hidden></footer>
+    </div>
 </div>

templates/embeddings.html

@@ -53,8 +53,10 @@
 {% endblock %}
 
 {% block content %}
+    <div class="sticky-topbar">
     {% include 'components/controls.html' %}
     {% include 'components/breadcrumb.html' %}
+    </div>
     {% include 'components/duplicates_banner.html' %}
     {% include 'components/folder_sidebar.html' %}
     

templates/loras.html

@@ -8,8 +8,10 @@
 {% block init_check_url %}/api/loras/list?page=1&page_size=1{% endblock %}
 
 {% block content %}
+    <div class="sticky-topbar">
     {% include 'components/controls.html' %}
     {% include 'components/breadcrumb.html' %}
+    </div>
     {% include 'components/duplicates_banner.html' %}
     {% include 'components/folder_sidebar.html' %}
 

templates/recipes.html

@@ -18,9 +18,6 @@
 <div id="recipeContextMenu" class="context-menu" style="display: none;">
     <!-- <div class="context-menu-item" data-action="details"><i class="fas fa-info-circle"></i> View Details</div> -->
     <!-- Metadata -->
-    <div class="context-menu-item" data-action="repair">
-        <i class="fas fa-tools"></i> {{ t('loras.contextMenu.repairMetadata') }} (Deprecated)
-    </div>
     <div class="context-menu-item" data-action="rematch">
         <i class="fas fa-link"></i> {{ t('loras.contextMenu.rematchMetadata') }}
     </div>
@@ -64,10 +61,12 @@
 {% block init_check_url %}/api/recipes?page=1&page_size=1{% endblock %}
 
 {% block content %}
-<!-- Recipe controls -->
+<!-- Sticky topbar: controls + breadcrumb -->
+<div class="sticky-topbar">
 {% include 'components/controls.html' %}
 <!-- Breadcrumb Navigation -->
 {% include 'components/breadcrumb.html' %}
+</div>
 
 <!-- Duplicates banner (hidden by default) -->
 <div id="duplicatesBanner" class="duplicates-banner" style="display: none;">

tests/frontend/api/baseModelApi.refresh.test.js

@@ -0,0 +1,348 @@
+import { describe, it, beforeEach, afterEach, expect, vi } from 'vitest';
+
+const {
+  BASE_MODEL_API_MODULE,
+  STATE_MODULE,
+  UI_HELPERS_MODULE,
+  I18N_MODULE,
+  STORAGE_MODULE,
+  API_CONFIG_MODULE,
+  API_FACTORY_MODULE,
+  SIDEBAR_MANAGER_MODULE,
+} = vi.hoisted(() => ({
+  BASE_MODEL_API_MODULE: new URL('../../../static/js/api/baseModelApi.js', import.meta.url).pathname,
+  STATE_MODULE: new URL('../../../static/js/state/index.js', import.meta.url).pathname,
+  UI_HELPERS_MODULE: new URL('../../../static/js/utils/uiHelpers.js', import.meta.url).pathname,
+  I18N_MODULE: new URL('../../../static/js/utils/i18nHelpers.js', import.meta.url).pathname,
+  STORAGE_MODULE: new URL('../../../static/js/utils/storageHelpers.js', import.meta.url).pathname,
+  API_CONFIG_MODULE: new URL('../../../static/js/api/apiConfig.js', import.meta.url).pathname,
+  API_FACTORY_MODULE: new URL('../../../static/js/api/modelApiFactory.js', import.meta.url).pathname,
+  SIDEBAR_MANAGER_MODULE: new URL('../../../static/js/components/SidebarManager.js', import.meta.url).pathname,
+}));
+
+const showToastMock = vi.fn();
+const showMock = vi.fn();
+const showCancelButtonMock = vi.fn();
+const hideMock = vi.fn();
+const restoreProgressBarMock = vi.fn();
+const setProgressMock = vi.fn();
+const setStatusMock = vi.fn();
+const resetAndReloadMock = vi.fn();
+
+vi.mock(STATE_MODULE, () => ({
+  state: {
+    loadingManager: {
+      show: showMock,
+      showCancelButton: showCancelButtonMock,
+      hide: hideMock,
+      restoreProgressBar: restoreProgressBarMock,
+      setProgress: setProgressMock,
+      setStatus: setStatusMock,
+    },
+  },
+  getCurrentPageState: vi.fn(() => ({})),
+}));
+
+vi.mock(UI_HELPERS_MODULE, () => ({
+  showToast: showToastMock,
+}));
+
+vi.mock(I18N_MODULE, () => ({
+  translate: vi.fn((key, params, fallback) => {
+    if (fallback) {
+      return Object.entries(params || {}).reduce(
+        (text, [name, value]) => text.replaceAll(`{${name}}`, value),
+        fallback
+      );
+    }
+    return key;
+  }),
+}));
+
+vi.mock(STORAGE_MODULE, () => ({
+  getStorageItem: vi.fn(),
+  getSessionItem: vi.fn(),
+  removeSessionItem: vi.fn(),
+  saveMapToStorage: vi.fn(),
+}));
+
+vi.mock(API_CONFIG_MODULE, () => ({
+  getCompleteApiConfig: vi.fn(() => ({
+    endpoints: { scan: '/api/lm/loras/scan' },
+    config: { displayName: 'LoRA', singularName: 'lora' },
+  })),
+  getCurrentModelType: vi.fn(() => 'loras'),
+  isValidModelType: vi.fn(() => true),
+  DOWNLOAD_ENDPOINTS: {},
+  HF_ENDPOINTS: {},
+  WS_ENDPOINTS: { fetchProgress: '/ws/fetch-progress' },
+}));
+
+vi.mock(API_FACTORY_MODULE, () => ({
+  resetAndReload: resetAndReloadMock,
+}));
+
+vi.mock(SIDEBAR_MANAGER_MODULE, () => ({
+  sidebarManager: { refresh: vi.fn() },
+}));
+
+class FakeWebSocket {
+  static instances = [];
+  static failNextConnection = false;
+
+  constructor(url) {
+    this.url = url;
+    this.onopen = null;
+    this.onerror = null;
+    this.onmessage = null;
+    this.close = vi.fn();
+    FakeWebSocket.instances.push(this);
+    const shouldFail = FakeWebSocket.failNextConnection;
+    FakeWebSocket.failNextConnection = false;
+    queueMicrotask(() => {
+      if (shouldFail) {
+        this.onerror?.(new Error('connection refused'));
+      } else {
+        this.onopen?.();
+      }
+    });
+  }
+
+  emit(data) {
+    this.onmessage?.({ data: JSON.stringify(data) });
+  }
+}
+
+async function createClient() {
+  const { BaseModelApiClient } = await import(BASE_MODEL_API_MODULE);
+  class TestClient extends BaseModelApiClient {}
+  return new TestClient('loras');
+}
+
+async function flushMicrotasks() {
+  await new Promise((resolve) => setTimeout(resolve, 0));
+}
+
+describe('BaseModelApiClient.refreshModels scan progress', () => {
+  beforeEach(() => {
+    showToastMock.mockReset();
+    showMock.mockReset();
+    showCancelButtonMock.mockReset();
+    hideMock.mockReset();
+    restoreProgressBarMock.mockReset();
+    setProgressMock.mockReset();
+    setStatusMock.mockReset();
+    resetAndReloadMock.mockReset();
+    FakeWebSocket.instances = [];
+    FakeWebSocket.failNextConnection = false;
+    vi.stubGlobal('WebSocket', FakeWebSocket);
+  });
+
+  afterEach(() => {
+    delete global.fetch;
+    vi.unstubAllGlobals();
+    vi.restoreAllMocks();
+  });
+
+  function mockFetchPending() {
+    let resolveFetch;
+    global.fetch = vi.fn(() => new Promise((resolve) => { resolveFetch = resolve; }));
+    return {
+      resolveOk: (payload = { status: 'success' }) =>
+        resolveFetch({ ok: true, json: async () => payload }),
+    };
+  }
+
+  async function startRefresh(client, fullRebuild = false) {
+    const promise = client.refreshModels(fullRebuild);
+    await vi.waitFor(() => {
+      expect(FakeWebSocket.instances.length).toBe(1);
+    });
+    await flushMicrotasks();
+    const socket = FakeWebSocket.instances[0];
+    await vi.waitFor(() => {
+      expect(socket.onmessage).toBeTruthy();
+    });
+    return { promise, socket };
+  }
+
+  it('shows scan progress updates from the WebSocket channel', async () => {
+    const fetchControl = mockFetchPending();
+    const client = await createClient();
+    const { promise, socket } = await startRefresh(client);
+
+    expect(socket.url).toBe(`ws://${window.location.host}/ws/fetch-progress`);
+
+    socket.emit({
+      type: 'scan_progress',
+      status: 'started',
+      stage: 'scan_folders',
+      model_type: 'lora',
+      pageType: 'loras',
+      full_rebuild: false,
+      progress: 0,
+    });
+    socket.emit({
+      type: 'scan_progress',
+      status: 'processing',
+      stage: 'process_models',
+      model_type: 'lora',
+      pageType: 'loras',
+      full_rebuild: false,
+      progress: 50,
+      processed: 5,
+      total: 10,
+      current_name: 'style.safetensors',
+    });
+
+    expect(setProgressMock).toHaveBeenCalledWith(0);
+    expect(setProgressMock).toHaveBeenCalledWith(50);
+    const lastStatus = setStatusMock.mock.calls.at(-1)[0];
+    expect(lastStatus).toContain('(5/10)');
+    expect(lastStatus).toContain('style.safetensors');
+    // First ETA sample only anchors the timer
+    expect(lastStatus).toContain('Estimating time...');
+
+    fetchControl.resolveOk();
+    await promise;
+
+    expect(resetAndReloadMock).toHaveBeenCalledWith(true);
+    expect(showToastMock).toHaveBeenCalledWith(
+      'toast.api.refreshComplete',
+      { action: 'Refresh' },
+      'success'
+    );
+    expect(socket.close).toHaveBeenCalled();
+    expect(hideMock).toHaveBeenCalled();
+  });
+
+  it('ignores messages for other types or other model types', async () => {
+    const fetchControl = mockFetchPending();
+    const client = await createClient();
+    const { promise, socket } = await startRefresh(client);
+
+    socket.emit({
+      type: 'scan_progress',
+      status: 'processing',
+      stage: 'process_models',
+      model_type: 'checkpoint',
+      progress: 33,
+      processed: 1,
+      total: 3,
+    });
+    socket.emit({
+      type: 'example_images_progress',
+      status: 'running',
+      model_type: 'lora',
+      progress: 66,
+      processed: 2,
+      total: 3,
+    });
+
+    expect(setProgressMock).not.toHaveBeenCalled();
+    expect(setStatusMock).not.toHaveBeenCalled();
+
+    fetchControl.resolveOk();
+    await promise;
+  });
+
+  it('falls back to plain loading when the WebSocket connection fails', async () => {
+    FakeWebSocket.failNextConnection = true;
+    global.fetch = vi.fn().mockResolvedValue({
+      ok: true,
+      json: async () => ({ status: 'success' }),
+    });
+
+    const client = await createClient();
+    await client.refreshModels(true);
+
+    expect(global.fetch).toHaveBeenCalled();
+    const [url] = global.fetch.mock.calls[0];
+    expect(url.searchParams.get('full_rebuild')).toBe('true');
+    expect(showMock).toHaveBeenCalledWith('Full rebuild LoRAs...', 0);
+    expect(showToastMock).toHaveBeenCalledWith(
+      'toast.api.refreshComplete',
+      { action: 'Full rebuild' },
+      'success'
+    );
+  });
+
+  it('computes an ETA with EMA smoothing once enough samples arrive', async () => {
+    const fetchControl = mockFetchPending();
+    let now = 1000;
+    vi.spyOn(Date, 'now').mockImplementation(() => now);
+
+    const client = await createClient();
+    const { promise, socket } = await startRefresh(client);
+
+    const emitProcessing = (processed, total) => socket.emit({
+      type: 'scan_progress',
+      status: 'processing',
+      stage: 'process_models',
+      model_type: 'lora',
+      progress: Math.floor((processed / total) * 100),
+      processed,
+      total,
+    });
+
+    // First sample anchors the timer
+    emitProcessing(1, 10);
+    expect(setStatusMock.mock.calls.at(-1)[0]).toContain('Estimating time...');
+
+    // 100s elapsed for 2 files -> 50s per file -> 400s remaining -> ~7 min
+    now = 101000;
+    emitProcessing(2, 10);
+    expect(setStatusMock.mock.calls.at(-1)[0]).toContain('~7 min remaining');
+
+    // 110s elapsed for 4 files -> EMA = 50000*0.7 + 27500*0.3 = 43250ms/file
+    // remaining 6 files -> 259.5s -> ~4 min
+    now = 111000;
+    emitProcessing(4, 10);
+    expect(setStatusMock.mock.calls.at(-1)[0]).toContain('~4 min remaining');
+
+    fetchControl.resolveOk();
+    await promise;
+  });
+
+  it('shows the cancelled toast when the server reports cancellation', async () => {
+    const fetchControl = mockFetchPending();
+    const client = await createClient();
+    const { promise } = await startRefresh(client);
+
+    fetchControl.resolveOk({ status: 'cancelled' });
+    await promise;
+
+    expect(showToastMock).toHaveBeenCalledWith('toast.api.operationCancelled', {}, 'info');
+    expect(resetAndReloadMock).not.toHaveBeenCalled();
+  });
+});
+
+describe('createScanEtaTracker / formatScanRemainingTime', () => {
+  it('estimates remaining time from EMA of per-file cost', async () => {
+    const { createScanEtaTracker } = await import(BASE_MODEL_API_MODULE);
+    let now = 0;
+    vi.spyOn(Date, 'now').mockImplementation(() => now);
+
+    const tracker = createScanEtaTracker();
+    expect(tracker.update(1, 10)).toBe('Estimating time...');
+
+    now = 60000; // 60s for 3 files -> 20s/file -> 7 * 20s = 140s -> ~2 min
+    expect(tracker.update(3, 10)).toBe('~2 min remaining');
+
+    now = 61000; // tiny delta keeps EMA near 20s/file
+    expect(tracker.update(4, 10)).toBe('~2 min remaining');
+
+    // Done: no ETA
+    expect(tracker.update(10, 10)).toBeNull();
+    expect(tracker.update(0, 0)).toBeNull();
+
+    vi.restoreAllMocks();
+  });
+
+  it('formats hours and sub-minute remainders', async () => {
+    const { formatScanRemainingTime } = await import(BASE_MODEL_API_MODULE);
+    expect(formatScanRemainingTime(30000)).toBe('Less than a minute remaining');
+    expect(formatScanRemainingTime(5 * 60000)).toBe('~5 min remaining');
+    expect(formatScanRemainingTime(3600000 + 30 * 60000)).toBe('~1 hr 30 min remaining');
+  });
+});

tests/frontend/api/recipeApi.refresh.test.js

@@ -0,0 +1,285 @@
+import { describe, it, beforeEach, afterEach, expect, vi } from 'vitest';
+
+const showToastMock = vi.hoisted(() => vi.fn());
+const loadingManagerMock = vi.hoisted(() => ({
+  show: vi.fn(),
+  hide: vi.fn(),
+  restoreProgressBar: vi.fn(),
+  setProgress: vi.fn(),
+  setStatus: vi.fn(),
+}));
+const virtualScrollerMock = vi.hoisted(() => ({
+  refreshWithData: vi.fn(),
+}));
+const getCurrentPageStateMock = vi.hoisted(() => vi.fn());
+const etaUpdateMock = vi.hoisted(() => vi.fn(() => 'ETA soon'));
+
+vi.mock('../../../static/js/components/RecipeCard.js', () => ({
+  RecipeCard: vi.fn(() => ({ element: document.createElement('div') })),
+}));
+
+vi.mock('../../../static/js/state/index.js', () => ({
+  state: {
+    loadingManager: loadingManagerMock,
+    virtualScroller: virtualScrollerMock,
+  },
+  getCurrentPageState: getCurrentPageStateMock,
+}));
+
+vi.mock('../../../static/js/utils/uiHelpers.js', () => ({
+  showToast: showToastMock,
+}));
+
+vi.mock('../../../static/js/utils/i18nHelpers.js', () => ({
+  translate: vi.fn((key, params, fallback) => {
+    if (fallback) {
+      return Object.entries(params || {}).reduce(
+        (text, [name, value]) => text.replaceAll(`{${name}}`, value),
+        fallback
+      );
+    }
+    return key;
+  }),
+}));
+
+vi.mock('../../../static/js/utils/infiniteScroll.js', () => ({
+  captureScrollPosition: vi.fn(),
+  restoreScrollPosition: vi.fn(),
+}));
+
+vi.mock('../../../static/js/api/apiConfig.js', () => ({
+  WS_ENDPOINTS: { fetchProgress: '/ws/fetch-progress' },
+}));
+
+vi.mock('../../../static/js/utils/scanEtaUtils.js', () => ({
+  createScanEtaTracker: () => ({ update: etaUpdateMock }),
+}));
+
+import { refreshRecipes } from '../../../static/js/api/recipeApi.js';
+
+class FakeWebSocket {
+  static instances = [];
+  static failNextConnection = false;
+
+  constructor(url) {
+    this.url = url;
+    this.onopen = null;
+    this.onerror = null;
+    this.onmessage = null;
+    this.close = vi.fn();
+    FakeWebSocket.instances.push(this);
+    const shouldFail = FakeWebSocket.failNextConnection;
+    FakeWebSocket.failNextConnection = false;
+    queueMicrotask(() => {
+      if (shouldFail) {
+        this.onerror?.(new Error('connection refused'));
+      } else {
+        this.onopen?.();
+      }
+    });
+  }
+
+  emit(data) {
+    this.onmessage?.({ data: JSON.stringify(data) });
+  }
+}
+
+async function flushMicrotasks() {
+  await new Promise((resolve) => setTimeout(resolve, 0));
+}
+
+describe('refreshRecipes scan progress', () => {
+  beforeEach(() => {
+    vi.clearAllMocks();
+    getCurrentPageStateMock.mockReturnValue({
+      pageSize: 50,
+      currentPage: 1,
+      hasMore: true,
+      isLoading: false,
+      sortBy: 'date:desc',
+      showFavoritesOnly: false,
+      activeFolder: null,
+      searchOptions: { recursive: true },
+      customFilter: { active: false },
+      filters: {},
+    });
+    FakeWebSocket.instances = [];
+    FakeWebSocket.failNextConnection = false;
+    vi.stubGlobal('WebSocket', FakeWebSocket);
+  });
+
+  afterEach(() => {
+    delete global.fetch;
+    vi.unstubAllGlobals();
+  });
+
+  function mockFetchPendingScan() {
+    let resolveScan;
+    global.fetch = vi.fn((input) => {
+      const url = String(input);
+      if (url.includes('/scan')) {
+        return new Promise((resolve) => { resolveScan = resolve; });
+      }
+      // Recipe list reload after the scan completes
+      return Promise.resolve({
+        ok: true,
+        json: async () => ({ items: [], total: 0, total_pages: 0 }),
+      });
+    });
+    return {
+      resolveOk: (payload = { status: 'success' }) =>
+        resolveScan({ ok: true, json: async () => payload }),
+      resolveNotOk: () =>
+        resolveScan({ ok: false, status: 500, statusText: 'Server Error' }),
+    };
+  }
+
+  async function startRefresh(fullRebuild = true) {
+    const promise = refreshRecipes(fullRebuild);
+    await vi.waitFor(() => {
+      expect(FakeWebSocket.instances.length).toBe(1);
+    });
+    await flushMicrotasks();
+    const socket = FakeWebSocket.instances[0];
+    await vi.waitFor(() => {
+      expect(socket.onmessage).toBeTruthy();
+    });
+    return { promise, socket };
+  }
+
+  it('shows scan progress updates from the WebSocket channel', async () => {
+    const fetchControl = mockFetchPendingScan();
+    const { promise, socket } = await startRefresh();
+
+    expect(socket.url).toBe(`ws://${window.location.host}/ws/fetch-progress`);
+
+    socket.emit({
+      type: 'scan_progress',
+      status: 'started',
+      stage: 'scan_folders',
+      model_type: 'recipe',
+      pageType: 'recipes',
+      full_rebuild: true,
+      progress: 0,
+    });
+    socket.emit({
+      type: 'scan_progress',
+      status: 'processing',
+      stage: 'process_models',
+      model_type: 'recipe',
+      pageType: 'recipes',
+      full_rebuild: true,
+      progress: 50,
+      processed: 5,
+      total: 10,
+      current_name: 'style.recipe.json',
+    });
+
+    expect(loadingManagerMock.setProgress).toHaveBeenCalledWith(0);
+    expect(loadingManagerMock.setProgress).toHaveBeenCalledWith(50);
+    const lastStatus = loadingManagerMock.setStatus.mock.calls.at(-1)[0];
+    expect(lastStatus).toContain('(5/10)');
+    expect(lastStatus).toContain('style.recipe.json');
+    expect(lastStatus).toContain('ETA soon');
+    expect(etaUpdateMock).toHaveBeenCalledWith(5, 10);
+
+    fetchControl.resolveOk();
+    await promise;
+
+    expect(showToastMock).toHaveBeenCalledWith(
+      'toast.api.refreshComplete',
+      { action: 'Full rebuild' },
+      'success'
+    );
+    expect(socket.close).toHaveBeenCalled();
+    expect(loadingManagerMock.hide).toHaveBeenCalled();
+  });
+
+  it('ignores messages for other types or other model types', async () => {
+    const fetchControl = mockFetchPendingScan();
+    const { promise, socket } = await startRefresh();
+
+    socket.emit({
+      type: 'scan_progress',
+      status: 'processing',
+      stage: 'process_models',
+      model_type: 'lora',
+      progress: 33,
+      processed: 1,
+      total: 3,
+    });
+    socket.emit({
+      type: 'example_images_progress',
+      status: 'running',
+      model_type: 'recipe',
+      progress: 66,
+      processed: 2,
+      total: 3,
+    });
+
+    expect(loadingManagerMock.setProgress).not.toHaveBeenCalled();
+    expect(loadingManagerMock.setStatus).not.toHaveBeenCalled();
+
+    fetchControl.resolveOk();
+    await promise;
+  });
+
+  it('falls back to plain loading when the WebSocket connection fails', async () => {
+    FakeWebSocket.failNextConnection = true;
+    global.fetch = vi.fn((input) => {
+      const url = String(input);
+      if (url.includes('/scan')) {
+        return Promise.resolve({
+          ok: true,
+          json: async () => ({ status: 'success' }),
+        });
+      }
+      return Promise.resolve({
+        ok: true,
+        json: async () => ({ items: [], total: 0, total_pages: 0 }),
+      });
+    });
+
+    await refreshRecipes(false);
+
+    expect(global.fetch).toHaveBeenCalled();
+    const [url] = global.fetch.mock.calls[0];
+    expect(url.searchParams.get('full_rebuild')).toBe('false');
+    expect(loadingManagerMock.show).toHaveBeenCalledWith('Refreshing Recipes...', 0);
+    expect(showToastMock).toHaveBeenCalledWith(
+      'toast.api.refreshComplete',
+      { action: 'Refresh' },
+      'success'
+    );
+  });
+
+  it('shows the cancelled toast when the server reports cancellation', async () => {
+    const fetchControl = mockFetchPendingScan();
+    const { promise } = await startRefresh();
+
+    fetchControl.resolveOk({ status: 'cancelled' });
+    await promise;
+
+    expect(showToastMock).toHaveBeenCalledWith('toast.api.operationCancelled', {}, 'info');
+    expect(showToastMock).not.toHaveBeenCalledWith(
+      'toast.api.refreshComplete',
+      expect.anything(),
+      expect.anything()
+    );
+  });
+
+  it('reports refresh failures through the error toast', async () => {
+    const fetchControl = mockFetchPendingScan();
+    const { promise } = await startRefresh();
+
+    fetchControl.resolveNotOk();
+    await promise;
+
+    expect(showToastMock).toHaveBeenCalledWith(
+      'toast.api.refreshFailed',
+      { action: 'rebuild', type: 'recipe' },
+      'error'
+    );
+    expect(loadingManagerMock.hide).toHaveBeenCalled();
+  });
+});

tests/frontend/components/autocomplete.activeFilters.test.js

@@ -0,0 +1,256 @@
+import { describe, it, beforeEach, afterEach, expect, vi } from 'vitest';
+
+const {
+  API_MODULE,
+  APP_MODULE,
+  CARET_HELPER_MODULE,
+  PREVIEW_COMPONENT_MODULE,
+  AUTOCOMPLETE_MODULE,
+} = vi.hoisted(() => ({
+  API_MODULE: new URL('../../../scripts/api.js', import.meta.url).pathname,
+  APP_MODULE: new URL('../../../scripts/app.js', import.meta.url).pathname,
+  CARET_HELPER_MODULE: new URL('../../../web/comfyui/textarea_caret_helper.js', import.meta.url).pathname,
+  PREVIEW_COMPONENT_MODULE: new URL('../../../web/comfyui/preview_tooltip.js', import.meta.url).pathname,
+  AUTOCOMPLETE_MODULE: new URL('../../../web/comfyui/autocomplete.js', import.meta.url).pathname,
+}));
+
+const fetchApiMock = vi.fn();
+const settingGetMock = vi.fn();
+const caretHelperInstance = {
+  getBeforeCursor: vi.fn(() => ''),
+  getCursorOffset: vi.fn(() => ({ left: 0, top: 0 })),
+};
+
+vi.mock(API_MODULE, () => ({
+  api: {
+    fetchApi: fetchApiMock,
+  },
+}));
+
+vi.mock(APP_MODULE, () => ({
+  app: {
+    canvas: {
+      ds: { scale: 1 },
+    },
+    extensionManager: {
+      setting: {
+        get: settingGetMock,
+        set: vi.fn(),
+      },
+    },
+    registerExtension: vi.fn(),
+  },
+}));
+
+vi.mock(CARET_HELPER_MODULE, () => ({
+  TextAreaCaretHelper: vi.fn(() => caretHelperInstance),
+}));
+
+vi.mock(PREVIEW_COMPONENT_MODULE, () => ({
+  PreviewTooltip: vi.fn(() => ({ show: vi.fn(), hide: vi.fn(), cleanup: vi.fn() })),
+}));
+
+async function createAutoComplete(modelType, activeFiltersEnabled) {
+  settingGetMock.mockImplementation((key) => {
+    if (key === 'loramanager.lora_active_filters_autocomplete') {
+      return activeFiltersEnabled;
+    }
+    if (key === 'loramanager.autocomplete_append_comma') return false;
+    if (key === 'loramanager.autocomplete_auto_format') return false;
+    if (key === 'loramanager.autocomplete_accept_key') return 'both';
+    return undefined;
+  });
+
+  fetchApiMock.mockResolvedValue({
+    json: () => Promise.resolve({ success: true, relative_paths: [] }),
+  });
+
+  const input = document.createElement('textarea');
+  document.body.append(input);
+
+  const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+  const autoComplete = new AutoComplete(input, modelType, { debounceDelay: 0, showPreview: false });
+
+  input.value = 'example';
+  input.dispatchEvent(new Event('input', { bubbles: true }));
+  await vi.runAllTimersAsync();
+  await Promise.resolve();
+
+  return autoComplete;
+}
+
+describe('AutoComplete active-filters flag', () => {
+  beforeEach(() => {
+    vi.useFakeTimers();
+    document.body.innerHTML = '';
+    document.head.querySelectorAll('style').forEach((styleEl) => styleEl.remove());
+    Element.prototype.scrollIntoView = vi.fn();
+    fetchApiMock.mockReset();
+    settingGetMock.mockReset();
+    caretHelperInstance.getBeforeCursor.mockReset();
+    caretHelperInstance.getCursorOffset.mockReset();
+    caretHelperInstance.getBeforeCursor.mockReturnValue('example');
+    caretHelperInstance.getCursorOffset.mockReturnValue({ left: 0, top: 0 });
+  });
+
+  afterEach(() => {
+    vi.useRealTimers();
+  });
+
+  it('sends use_active_filters for loras when the setting is enabled', async () => {
+    await createAutoComplete('loras', true);
+
+    expect(fetchApiMock).toHaveBeenCalledWith(
+      '/lm/loras/relative-paths?search=example&limit=100&use_active_filters=true'
+    );
+  });
+
+  it('omits the flag when the setting is disabled', async () => {
+    await createAutoComplete('loras', false);
+
+    expect(fetchApiMock).toHaveBeenCalledWith('/lm/loras/relative-paths?search=example&limit=100');
+  });
+
+  it('omits the flag for non-lora model types even when enabled', async () => {
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({ success: true, words: [] }),
+    });
+    await createAutoComplete('prompt', true);
+
+    for (const call of fetchApiMock.mock.calls) {
+      expect(call[0]).not.toContain('use_active_filters');
+    }
+  });
+
+  it('does not read filter state from localStorage anymore', async () => {
+    localStorage.setItem('lora_manager_loras_activeFolder', 'SD_XL');
+    localStorage.setItem('lora_manager_loras_filters', JSON.stringify({ baseModel: ['SDXL 1.0'] }));
+
+    await createAutoComplete('loras', true);
+
+    for (const call of fetchApiMock.mock.calls) {
+      expect(call[0]).not.toContain('folder=');
+      expect(call[0]).not.toContain('base_model=');
+    }
+  });
+
+  const typeLorasSlashCommand = async () => {
+    const input = document.createElement('textarea');
+    input.value = '/';
+    input.selectionStart = 1;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('/');
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input, 'loras', { showPreview: false, minChars: 1 });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    return autoComplete;
+  };
+
+  it('shows the active-filters state below the loras slash command list', async () => {
+    await typeLorasSlashCommand();
+
+    const footer = document.querySelector('.lm-autocomplete-command-footer');
+    expect(footer).not.toBeNull();
+    expect(footer.textContent).toContain('Active Filters Search: OFF');
+    expect(footer.textContent).toContain('/activefilters to enable');
+  });
+
+  it('shows how to disable active-filters search in the footer when it is on', async () => {
+    settingGetMock.mockImplementation((key) => {
+      if (key === 'loramanager.lora_active_filters_autocomplete') {
+        return true;
+      }
+      return undefined;
+    });
+
+    await typeLorasSlashCommand();
+
+    const footer = document.querySelector('.lm-autocomplete-command-footer');
+    expect(footer).not.toBeNull();
+    expect(footer.textContent).toContain('Active Filters Search: ON');
+    expect(footer.textContent).toContain('/noactivefilters to disable');
+  });
+
+  it('shows a dismissible first-run hint on loras suggestions and remembers dismissal', async () => {
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        relative_paths: ['models/example.safetensors'],
+      }),
+    });
+
+    const triggerSearch = async () => {
+      const input = document.createElement('textarea');
+      input.value = 'example';
+      input.selectionStart = 7;
+      document.body.append(input);
+
+      caretHelperInstance.getBeforeCursor.mockReturnValue('example');
+
+      const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+      const autoComplete = new AutoComplete(input, 'loras', {
+        debounceDelay: 0,
+        showPreview: false,
+        minChars: 1,
+      });
+
+      input.dispatchEvent(new Event('input', { bubbles: true }));
+      await vi.runOnlyPendingTimersAsync();
+      await vi.runOnlyPendingTimersAsync();
+      await Promise.resolve();
+      return autoComplete;
+    };
+
+    const autoComplete = await triggerSearch();
+    const hint = autoComplete.dropdown.querySelector('.lm-autocomplete-first-run-hint');
+    expect(hint).not.toBeNull();
+    expect(hint.textContent).toContain('/activefilters');
+
+    hint.querySelector('button').click();
+    expect(autoComplete.dropdown.querySelector('.lm-autocomplete-first-run-hint')).toBeNull();
+    expect(localStorage.getItem('lm:activefilters-tip-dismissed')).toBe('1');
+    // A fresh instance no longer shows the hint once dismissed
+    const autoComplete2 = await triggerSearch();
+    expect(autoComplete2.dropdown.querySelector('.lm-autocomplete-first-run-hint')).toBeNull();
+  });
+
+  it('does not show the loras first-run hint when active-filters search is already on', async () => {
+    settingGetMock.mockImplementation((key) => {
+      if (key === 'loramanager.lora_active_filters_autocomplete') {
+        return true;
+      }
+      return undefined;
+    });
+
+    fetchApiMock.mockResolvedValue({
+      json: () => Promise.resolve({
+        success: true,
+        relative_paths: ['models/example.safetensors'],
+      }),
+    });
+
+    const input = document.createElement('textarea');
+    input.value = 'example';
+    input.selectionStart = 7;
+    document.body.append(input);
+
+    caretHelperInstance.getBeforeCursor.mockReturnValue('example');
+
+    const { AutoComplete } = await import(AUTOCOMPLETE_MODULE);
+    const autoComplete = new AutoComplete(input, 'loras', {
+      debounceDelay: 0,
+      showPreview: false,
+      minChars: 1,
+    });
+
+    input.dispatchEvent(new Event('input', { bubbles: true }));
+    await vi.runOnlyPendingTimersAsync();
+    await vi.runOnlyPendingTimersAsync();
+    await Promise.resolve();
+
+    expect(autoComplete.dropdown.querySelector('.lm-autocomplete-first-run-hint')).toBeNull();
+  });
+});

tests/frontend/components/autocomplete.behavior.test.js

@@ -1789,7 +1789,7 @@ describe('AutoComplete widget interactions', () => {
     expect(settingSetMock).toHaveBeenCalledWith('loramanager.lora_active_filters_autocomplete', true);
   });
 
-  it('appends active filter params to loras autocomplete requests when enabled', async () => {
+  it('sends only the use_active_filters flag when enabled (filters resolved server-side)', async () => {
     vi.useFakeTimers();
 
     settingGetMock.mockImplementation((key) => {
@@ -1799,12 +1799,11 @@ describe('AutoComplete widget interactions', () => {
       return undefined;
     });
 
+    // Stored manager-page filters must NOT leak into the request URL; the
+    // backend injects them from its server-side store.
     localStorage.setItem('lora_manager_loras_filters', JSON.stringify({
       baseModel: ['SD 1.5'],
-      tags: { anime: 'include', nsfw: 'exclude', __no_tags__: 'exclude' },
-      autoTags: { I2V: 'include' },
-      modelTypes: ['standard'],
-      tagLogic: 'all',
+      tags: { anime: 'include', nsfw: 'exclude' },
       license: { noCredit: 'include', allowSelling: 'exclude' },
     }));
     localStorage.setItem('lora_manager_loras_activeFolder', 'MyLoras');
@@ -1830,19 +1829,7 @@ describe('AutoComplete widget interactions', () => {
     await Promise.resolve();
 
     const calledUrl = fetchApiMock.mock.calls[0][0];
-    expect(calledUrl).toContain('/lm/loras/relative-paths?search=example&limit=100');
-    expect(calledUrl).toContain('folder=MyLoras');
-    expect(calledUrl).toContain('recursive=true');
-    expect(calledUrl).toContain('tag_include=anime');
-    expect(calledUrl).toContain('tag_exclude=nsfw');
-    expect(calledUrl).toContain('tag_exclude=__no_tags__');
-    expect(calledUrl).toContain('auto_tag_include=I2V');
-    expect(calledUrl).toContain('tag_logic=all');
-    expect(calledUrl).toContain('credit_required=false');
-    expect(calledUrl).toContain('allow_selling_generated_content=false');
-    const parsed = new URL(calledUrl, 'https://example.com');
-    expect(parsed.searchParams.get('base_model')).toBe('SD 1.5');
-    expect(parsed.searchParams.get('model_type')).toBe('standard');
+    expect(calledUrl).toBe('/lm/loras/relative-paths?search=example&limit=100&use_active_filters=true');
   });
 
   it('keeps the default loras autocomplete URL when active-filters mode is off', async () => {
@@ -1870,10 +1857,12 @@ describe('AutoComplete widget interactions', () => {
     expect(fetchApiMock).toHaveBeenCalledWith('/lm/loras/relative-paths?search=example&limit=100');
   });
 
-  it('sends the filter-pipeline signal even when no filters are stored', async () => {
+  it('sends the filter-pipeline flag even when no filters are stored', async () => {
     // Regression: with filter mode on but no folder/filters stored, the request
-    // carried no params, so the backend skipped the filter pipeline and global
-    // settings like show_only_sfw diverged from the list endpoint.
+    // carried no signal, so the backend skipped the filter pipeline and global
+    // settings like show_only_sfw diverged from the list endpoint. The flag
+    // makes the backend run the pipeline (injecting nothing when its store
+    // is empty).
     vi.useFakeTimers();
 
     settingGetMock.mockImplementation((key) => {
@@ -1907,10 +1896,13 @@ describe('AutoComplete widget interactions', () => {
     await Promise.resolve();
 
     const calledUrl = fetchApiMock.mock.calls[0][0];
-    expect(calledUrl).toContain('recursive=true');
+    expect(calledUrl).toContain('use_active_filters=true');
   });
 
-  it('omits folder param when active folder is root and recursion is enabled', async () => {
+  it('leaves folder params to the backend when active folder is root with recursion enabled', async () => {
+    // The root-folder/recursion semantics now live server-side (see
+    // active_filters_store.active_filters_to_query_kwargs); the client only
+    // sends the flag.
     vi.useFakeTimers();
 
     settingGetMock.mockImplementation((key) => {
@@ -1948,10 +1940,12 @@ describe('AutoComplete widget interactions', () => {
 
     const calledUrl = fetchApiMock.mock.calls[0][0];
     expect(calledUrl).not.toContain('folder=');
-    expect(calledUrl).toContain('recursive=true');
+    expect(calledUrl).toContain('use_active_filters=true');
   });
 
-  it('sends an empty folder param for root with recursion disabled, mirroring the page list', async () => {
+  it('leaves the root+non-recursive folder mapping to the backend', async () => {
+    // Root with recursion disabled maps to folder='' server-side (mirroring
+    // the page list); the client no longer encodes this in the URL.
     vi.useFakeTimers();
 
     settingGetMock.mockImplementation((key) => {
@@ -1988,15 +1982,14 @@ describe('AutoComplete widget interactions', () => {
     await Promise.resolve();
 
     const calledUrl = fetchApiMock.mock.calls[0][0];
-    expect(calledUrl).toContain('folder=');
-    expect(calledUrl).toContain('recursive=false');
-    const parsed = new URL(calledUrl, 'https://example.com');
-    expect(parsed.searchParams.get('folder')).toBe('');
+    expect(calledUrl).not.toContain('folder=');
+    expect(calledUrl).toContain('use_active_filters=true');
   });
 
-  it('applies the active folder even when no filter-panel filters are set', async () => {
+  it('sends the flag even when only a folder is stored (no filter-panel filters)', async () => {
     // Regression: folder was skipped when lora_manager_loras_filters was
-    // missing because the filters key gate returned early.
+    // missing because the filters key gate returned early. The flag is now
+    // unconditional, and the backend injects the folder from its store.
     vi.useFakeTimers();
 
     settingGetMock.mockImplementation((key) => {
@@ -2029,8 +2022,8 @@ describe('AutoComplete widget interactions', () => {
     await Promise.resolve();
 
     const calledUrl = fetchApiMock.mock.calls[0][0];
-    expect(calledUrl).toContain('folder=Flux.1+D%2Fstyle');
-    expect(calledUrl).toContain('recursive=true');
+    expect(calledUrl).toContain('use_active_filters=true');
+    expect(calledUrl).not.toContain('folder=');
   });
 
   describe('discoverability hints', () => {

tests/frontend/components/autocomplete.export-strip.test.js

@@ -0,0 +1,234 @@
+import { describe, it, expect, vi } from 'vitest';
+
+const {
+    API_MODULE,
+    APP_MODULE,
+    CARET_HELPER_MODULE,
+    PREVIEW_COMPONENT_MODULE,
+    AUTOCOMPLETE_MODULE,
+} = vi.hoisted(() => ({
+    API_MODULE: new URL('../../../scripts/api.js', import.meta.url).pathname,
+    APP_MODULE: new URL('../../../scripts/app.js', import.meta.url).pathname,
+    CARET_HELPER_MODULE: new URL('../../../web/comfyui/textarea_caret_helper.js', import.meta.url).pathname,
+    PREVIEW_COMPONENT_MODULE: new URL('../../../web/comfyui/preview_tooltip.js', import.meta.url).pathname,
+    AUTOCOMPLETE_MODULE: new URL('../../../web/comfyui/autocomplete.js', import.meta.url).pathname,
+}));
+
+vi.mock(API_MODULE, () => ({
+    api: { fetchApi: vi.fn() },
+}));
+
+vi.mock(APP_MODULE, () => ({
+    app: {
+        canvas: { ds: { scale: 1 } },
+        extensionManager: {
+            setting: { get: vi.fn(), set: vi.fn() },
+        },
+        registerExtension: vi.fn(),
+    },
+}));
+
+vi.mock(CARET_HELPER_MODULE, () => ({
+    TextAreaCaretHelper: vi.fn(() => ({
+        getBeforeCursor: vi.fn(() => ''),
+        getCursorOffset: vi.fn(() => ({ left: 0, top: 0 })),
+    })),
+}));
+
+vi.mock(PREVIEW_COMPONENT_MODULE, () => ({
+    PreviewTooltip: vi.fn(() => ({ show: vi.fn(), hide: vi.fn(), cleanup: vi.fn() })),
+}));
+
+const METADATA_NAME = '__lm_autocomplete_meta_text';
+
+function makeMetadataValue() {
+    return {
+        version: 1,
+        textWidgetName: 'text',
+        lastAccepted: {
+            start: 0,
+            end: 6,
+            insertedText: '1girl ',
+            textSnapshot: 'old prompt text, 1girl ',
+        },
+    };
+}
+
+describe('stripAutocompleteLastAccepted', () => {
+    let stripAutocompleteLastAccepted;
+
+    beforeAll(async () => {
+        const module = await import(AUTOCOMPLETE_MODULE);
+        stripAutocompleteLastAccepted = module.stripAutocompleteLastAccepted;
+    });
+
+    it('removes lastAccepted while keeping the metadata base fields', () => {
+        const value = makeMetadataValue();
+        const stripped = stripAutocompleteLastAccepted(value);
+
+        expect(stripped).toEqual({ version: 1, textWidgetName: 'text' });
+        expect('lastAccepted' in stripped).toBe(false);
+        // Original value must not be mutated
+        expect(value.lastAccepted).toBeDefined();
+    });
+
+    it('returns values without lastAccepted as-is (same reference)', () => {
+        const value = { version: 1, textWidgetName: 'text' };
+        expect(stripAutocompleteLastAccepted(value)).toBe(value);
+    });
+
+    it('returns non-object values as-is', () => {
+        expect(stripAutocompleteLastAccepted(null)).toBe(null);
+        expect(stripAutocompleteLastAccepted(undefined)).toBe(undefined);
+        expect(stripAutocompleteLastAccepted('text')).toBe('text');
+        expect(stripAutocompleteLastAccepted([1, 2])).toEqual([1, 2]);
+    });
+});
+
+describe('stripAutocompleteMetadataFromPromptResult', () => {
+    let stripResult;
+
+    beforeAll(async () => {
+        const module = await import(AUTOCOMPLETE_MODULE);
+        stripResult = module.stripAutocompleteMetadataFromPromptResult;
+    });
+
+    function makeWorkflowNode() {
+        const metadataValue = makeMetadataValue();
+        return {
+            properties: { __lm_widget_ids: ['text', METADATA_NAME] },
+            widgets_values: ['current text', metadataValue],
+            widgets_values_named: {
+                text: 'current text',
+                [METADATA_NAME]: metadataValue,
+            },
+        };
+    }
+
+    it('strips lastAccepted from workflow widgets_values using __lm_widget_ids alignment', () => {
+        const result = {
+            workflow: { nodes: [makeWorkflowNode()] },
+            output: {},
+        };
+
+        const returned = stripResult(result);
+
+        expect(returned).toBe(result);
+        expect(result.workflow.nodes[0].widgets_values[1])
+            .toEqual({ version: 1, textWidgetName: 'text' });
+    });
+
+    it('strips lastAccepted from widgets_values_named and leaves other widgets untouched', () => {
+        const result = {
+            workflow: { nodes: [makeWorkflowNode()] },
+            output: {},
+        };
+
+        stripResult(result);
+
+        const node = result.workflow.nodes[0];
+        expect(node.widgets_values_named[METADATA_NAME])
+            .toEqual({ version: 1, textWidgetName: 'text' });
+        expect(node.widgets_values_named.text).toBe('current text');
+        expect(node.widgets_values[0]).toBe('current text');
+    });
+
+    it('handles null entries in widgets_values (bypass compatibility padding)', () => {
+        const node = makeWorkflowNode();
+        node.properties.__lm_widget_ids = ['text', 'seed', METADATA_NAME];
+        node.widgets_values = ['current text', null, makeMetadataValue()];
+        const result = { workflow: { nodes: [node] }, output: {} };
+
+        stripResult(result);
+
+        expect(result.workflow.nodes[0].widgets_values[1]).toBe(null);
+        expect(result.workflow.nodes[0].widgets_values[2])
+            .toEqual({ version: 1, textWidgetName: 'text' });
+    });
+
+    it('still strips widgets_values_named when __lm_widget_ids is missing (legacy files)', () => {
+        const node = makeWorkflowNode();
+        delete node.properties;
+        const arrayValue = node.widgets_values[1];
+        const result = { workflow: { nodes: [node] }, output: {} };
+
+        stripResult(result);
+
+        // Array entries cannot be located without widget ids — left untouched
+        expect(result.workflow.nodes[0].widgets_values[1]).toBe(arrayValue);
+        expect(result.workflow.nodes[0].widgets_values_named[METADATA_NAME])
+            .toEqual({ version: 1, textWidgetName: 'text' });
+    });
+
+    it('strips lastAccepted from output (API prompt) inputs', () => {
+        const result = {
+            workflow: { nodes: [] },
+            output: {
+                '7': {
+                    class_type: 'Prompt (LoraManager)',
+                    inputs: {
+                        text: 'current text',
+                        [METADATA_NAME]: makeMetadataValue(),
+                    },
+                },
+            },
+        };
+
+        stripResult(result);
+
+        const inputs = result.output['7'].inputs;
+        expect(inputs[METADATA_NAME]).toEqual({ version: 1, textWidgetName: 'text' });
+        expect(inputs.text).toBe('current text');
+    });
+
+    it('strips lastAccepted inside subgraph definitions', () => {
+        const result = {
+            workflow: {
+                nodes: [],
+                definitions: {
+                    subgraphs: [{ nodes: [makeWorkflowNode()] }],
+                },
+            },
+            output: {},
+        };
+
+        stripResult(result);
+
+        const subgraphNode = result.workflow.definitions.subgraphs[0].nodes[0];
+        expect(subgraphNode.widgets_values_named[METADATA_NAME])
+            .toEqual({ version: 1, textWidgetName: 'text' });
+    });
+
+    it('leaves results without lastAccepted unchanged', () => {
+        const metadataValue = { version: 1, textWidgetName: 'text' };
+        const result = {
+            workflow: {
+                nodes: [{
+                    properties: { __lm_widget_ids: ['text', METADATA_NAME] },
+                    widgets_values: ['abc', metadataValue],
+                    widgets_values_named: { text: 'abc', [METADATA_NAME]: metadataValue },
+                }],
+            },
+            output: {
+                '1': { inputs: { text: 'abc', [METADATA_NAME]: metadataValue } },
+            },
+        };
+
+        stripResult(result);
+
+        expect(result.workflow.nodes[0].widgets_values[1]).toBe(metadataValue);
+        expect(result.output['1'].inputs[METADATA_NAME]).toBe(metadataValue);
+    });
+
+    it('tolerates malformed results', () => {
+        expect(stripResult(null)).toBe(null);
+        expect(stripResult(undefined)).toBe(undefined);
+        expect(stripResult({})).toEqual({});
+
+        const result = {
+            workflow: { nodes: [null, { widgets_values: null }] },
+            output: { '1': { inputs: null }, '2': {} },
+        };
+        expect(() => stripResult(result)).not.toThrow();
+    });
+});

tests/frontend/components/loraLoader.activeFiltersMenu.test.js

@@ -0,0 +1,140 @@
+import { describe, it, expect, beforeEach, vi } from "vitest";
+
+const {
+  APP_MODULE,
+  API_MODULE,
+  UTILS_MODULE,
+  SETTINGS_MODULE,
+  LORA_LOADER_MODULE,
+} = vi.hoisted(() => ({
+  APP_MODULE: new URL("../../../scripts/app.js", import.meta.url).pathname,
+  API_MODULE: new URL("../../../scripts/api.js", import.meta.url).pathname,
+  UTILS_MODULE: new URL("../../../web/comfyui/utils.js", import.meta.url).pathname,
+  SETTINGS_MODULE: new URL("../../../web/comfyui/settings.js", import.meta.url).pathname,
+  LORA_LOADER_MODULE: new URL("../../../web/comfyui/lora_loader.js", import.meta.url).pathname,
+}));
+
+const extensionState = { current: null };
+const registerExtensionMock = vi.fn((extension) => {
+  extensionState.current = extension;
+});
+
+vi.mock(APP_MODULE, () => ({
+  app: {
+    registerExtension: registerExtensionMock,
+    graph: {},
+  },
+}));
+
+vi.mock(API_MODULE, () => ({
+  api: {
+    addEventListener: vi.fn(),
+  },
+}));
+
+const showToastMock = vi.fn();
+
+vi.mock(UTILS_MODULE, () => ({
+  collectActiveLorasFromChain: vi.fn(),
+  updateConnectedTriggerWords: vi.fn(),
+  mergeLoras: vi.fn(),
+  chainCallback: (proto, property, callback) => {
+    proto[property] = callback;
+  },
+  getAllGraphNodes: vi.fn(),
+  getNodeFromGraph: vi.fn(),
+  getWidgetByName: vi.fn(),
+  getWidgetSerializedValue: vi.fn(),
+  showToast: showToastMock,
+}));
+
+const getActiveFiltersPreferenceMock = vi.fn();
+const setSettingValueMock = vi.fn();
+
+vi.mock(SETTINGS_MODULE, () => ({
+  LORA_ACTIVE_FILTERS_AUTOCOMPLETE_SETTING_ID:
+    "loramanager.lora_active_filters_autocomplete",
+  getLoraActiveFiltersAutocompletePreference: getActiveFiltersPreferenceMock,
+  setLoraManagerSettingValue: setSettingValueMock,
+}));
+
+async function registerNodeType(comfyClass) {
+  await import(LORA_LOADER_MODULE);
+  const extension = extensionState.current;
+  expect(extension).toBeDefined();
+  const nodeType = { comfyClass, prototype: {} };
+  await extension.beforeRegisterNodeDef(nodeType, {}, {});
+  return nodeType;
+}
+
+function getMenuOption(nodeType, enabled) {
+  getActiveFiltersPreferenceMock.mockReturnValue(enabled);
+  const options = [];
+  nodeType.prototype.getExtraMenuOptions(null, options);
+  return options.find(
+    (option) =>
+      option &&
+      typeof option.content === "string" &&
+      option.content.startsWith("Active Filters Search:")
+  );
+}
+
+describe("Lora Loader active-filters context menu", () => {
+  beforeEach(() => {
+    vi.resetModules();
+    extensionState.current = null;
+    registerExtensionMock.mockClear();
+    showToastMock.mockClear();
+    getActiveFiltersPreferenceMock.mockReset();
+    setSettingValueMock.mockReset();
+    setSettingValueMock.mockResolvedValue(true);
+  });
+
+  it.each([
+    "Lora Loader (LoraManager)",
+    "Lora Stacker (LoraManager)",
+    "WanVideo Lora Select (LoraManager)",
+    "Create Hook LoRA (LoraManager)",
+  ])("adds the toggle entry to the %s context menu", async (comfyClass) => {
+    const nodeType = await registerNodeType(comfyClass);
+
+    const option = getMenuOption(nodeType, false);
+    expect(option).toBeDefined();
+    expect(option.content).toContain("Active Filters Search: OFF");
+    expect(option.content).toContain("/activefilters to enable");
+  });
+
+  it("shows the disable hint when active-filters search is on", async () => {
+    const nodeType = await registerNodeType("Lora Loader (LoraManager)");
+
+    const option = getMenuOption(nodeType, true);
+    expect(option.content).toContain("Active Filters Search: ON");
+    expect(option.content).toContain("/noactivefilters to disable");
+  });
+
+  it("toggles the setting and toasts feedback", async () => {
+    const nodeType = await registerNodeType("Lora Loader (LoraManager)");
+
+    const enableOption = getMenuOption(nodeType, false);
+    await enableOption.callback();
+
+    expect(setSettingValueMock).toHaveBeenCalledWith(
+      "loramanager.lora_active_filters_autocomplete",
+      true
+    );
+    expect(showToastMock).toHaveBeenCalledWith(
+      expect.objectContaining({ summary: "Active Filters Search Enabled" })
+    );
+
+    const disableOption = getMenuOption(nodeType, true);
+    await disableOption.callback();
+
+    expect(setSettingValueMock).toHaveBeenCalledWith(
+      "loramanager.lora_active_filters_autocomplete",
+      false
+    );
+    expect(showToastMock).toHaveBeenCalledWith(
+      expect.objectContaining({ summary: "Active Filters Search Disabled" })
+    );
+  });
+});

tests/frontend/components/pageControls.filtering.test.js

@@ -43,6 +43,12 @@ vi.mock('../../../static/js/utils/uiHelpers.js', () => ({
   showToast: showToastMock,
   openCivitaiByMetadata: openCivitaiByMetadataMock,
   updatePanelPositions: updatePanelPositionsMock,
+  // Faithful stand-in for the real helper in uiHelpers.js
+  isTypingContext: (target) => {
+    if (!(target instanceof Element)) return false;
+    const tagName = target.tagName?.toLowerCase();
+    return target.isContentEditable || tagName === 'input' || tagName === 'textarea' || tagName === 'select';
+  },
 }));
 
 vi.mock('../../../static/js/managers/DownloadManager.js', () => ({
@@ -350,6 +356,49 @@ describe('FilterManager tag and base model filters', () => {
     expect(baseModelChip.classList.contains('active')).toBe(false);
   });
 
+  it('filters recipes by the unknown base model bucket via its marker value', async () => {
+    global.fetch = vi.fn().mockResolvedValue({
+      ok: true,
+      json: async () => ({
+        success: true,
+        base_models: [
+          { name: 'Unknown', value: '__unknown__', count: 3 },
+          { name: 'SDXL', count: 2 },
+        ],
+      }),
+    });
+
+    renderControlsDom('recipes');
+    const stateModule = await import('../../../static/js/state/index.js');
+    stateModule.initPageState('recipes');
+    const { getCurrentPageState } = stateModule;
+    const { FilterManager } = await import('../../../static/js/managers/FilterManager.js');
+
+    const loadRecipesMock = vi.fn().mockResolvedValue(undefined);
+    window.recipeManager = { loadRecipes: loadRecipesMock };
+
+    new FilterManager({ page: 'recipes' });
+
+    await vi.waitFor(() => {
+      const chip = document.querySelector('[data-base-model="__unknown__"]');
+      expect(chip).not.toBeNull();
+    });
+
+    const unknownChip = document.querySelector('[data-base-model="__unknown__"]');
+    // Display label is "Unknown" even though the filter value is the marker
+    expect(unknownChip.textContent).toContain('Unknown');
+
+    unknownChip.dispatchEvent(new Event('click', { bubbles: true }));
+    await vi.waitFor(() => expect(loadRecipesMock).toHaveBeenCalledTimes(1));
+
+    expect(getCurrentPageState().filters.baseModel).toEqual(['__unknown__']);
+    expect(unknownChip.classList.contains('active')).toBe(true);
+
+    const storageKey = 'lora_manager_recipes_filters';
+    const storedFilters = JSON.parse(localStorage.getItem(storageKey));
+    expect(storedFilters.baseModel).toEqual(['__unknown__']);
+  });
+
   it('filters base model chips locally without changing selected state', async () => {
     global.fetch = vi.fn().mockResolvedValue({
       ok: true,
@@ -1157,4 +1206,87 @@ describe('PageControls favorites, sorting, and duplicates scenarios', () => {
       vi.useRealTimers();
     });
   });
+});
+
+describe('PageControls action keyboard shortcuts', () => {
+  async function setupLorasControls() {
+    renderControlsDom('loras');
+    const stateModule = await import('../../../static/js/state/index.js');
+    stateModule.initPageState('loras');
+    const { LorasControls } = await import('../../../static/js/components/controls/LorasControls.js');
+    return new LorasControls();
+  }
+
+  function keydownEvent(key, { target = document.body, ...init } = {}) {
+    const event = new KeyboardEvent('keydown', { key, bubbles: true, cancelable: true, ...init });
+    Object.defineProperty(event, 'target', { value: target });
+    return event;
+  }
+
+  it('registers a pageControls-actions keydown handler with the event manager', async () => {
+    await setupLorasControls();
+
+    const { eventManager } = await import('../../../static/js/utils/EventManager.js');
+    const keydownHandlers = eventManager.handlers.get('keydown') || [];
+    expect(keydownHandlers.some((h) => h.source === 'pageControls-actions')).toBe(true);
+  });
+
+  it('triggers refresh, fetch, and download via the R / F / D keys', async () => {
+    const controls = await setupLorasControls();
+
+    expect(controls.handleActionShortcut(keydownEvent('r'))).toBe(true);
+    expect(refreshModelsMock).toHaveBeenCalledWith(false);
+
+    expect(controls.handleActionShortcut(keydownEvent('f'))).toBe(true);
+    expect(fetchCivitaiMetadataMock).toHaveBeenCalledTimes(1);
+
+    expect(controls.handleActionShortcut(keydownEvent('d'))).toBe(true);
+    expect(downloadManagerMock.showDownloadModal).toHaveBeenCalledTimes(1);
+  });
+
+  it('handles a real keydown dispatched on the document', async () => {
+    await setupLorasControls();
+
+    const event = new KeyboardEvent('keydown', { key: 'r', bubbles: true, cancelable: true });
+    document.dispatchEvent(event);
+
+    expect(event.defaultPrevented).toBe(true);
+    expect(refreshModelsMock).toHaveBeenCalledWith(false);
+  });
+
+  it('ignores R / F / D while typing in an input', async () => {
+    const controls = await setupLorasControls();
+
+    const input = document.getElementById('searchInput');
+    for (const key of ['r', 'f', 'd']) {
+      const event = keydownEvent(key, { target: input });
+      expect(controls.handleActionShortcut(event)).toBe(false);
+      expect(event.defaultPrevented).toBe(false);
+    }
+
+    expect(refreshModelsMock).not.toHaveBeenCalled();
+    expect(fetchCivitaiMetadataMock).not.toHaveBeenCalled();
+    expect(downloadManagerMock.showDownloadModal).not.toHaveBeenCalled();
+  });
+
+  it('ignores R / F / D when combined with modifier keys', async () => {
+    const controls = await setupLorasControls();
+
+    const event = keydownEvent('r', { ctrlKey: true });
+    expect(controls.handleActionShortcut(event)).toBe(false);
+    expect(event.defaultPrevented).toBe(false);
+    expect(refreshModelsMock).not.toHaveBeenCalled();
+  });
+
+  it('passes the event through when the action button does not exist', async () => {
+    const controls = await setupLorasControls();
+
+    // Recipes page has no fetch/download buttons
+    document.querySelector('[data-action="fetch"]').closest('.control-group').remove();
+
+    const event = keydownEvent('f');
+    expect(controls.handleActionShortcut(event)).toBe(false);
+    expect(event.defaultPrevented).toBe(false);
+    expect(fetchCivitaiMetadataMock).not.toHaveBeenCalled();
+  });
 });