chore(release): bump version to v1.1.1

- retry_from_history() and retry_all_failed() now DELETE the original
  history entry after re-queuing it. Previously the old entry stayed
  in history causing exponential growth on repeated retry→cancel→retry
  cycles.
- Add deduplicate() called once on singleton creation to clean up
  existing duplicate queue/history entries left by the bug:
  1. In-status dedup (keep highest id per model+version+status)
  2. Cross-status dedup (prefer completed > failed > canceled)
  3. Queue dedup (keep highest rowid per model+version)
  4. Orphan queue cleanup (source='retry' entries obsoleted by
     terminal history entries)

.omo/plans/embeddings-hybrid-approach.md

@@ -0,0 +1,181 @@
+# Embeddings Usage Tracking — Hybrid Approach (Plan C)
+
+> **Status**: Reference document for future implementation
+> **Current implementation**: Plan A (prompt text parsing only, see `usage_stats.py:_process_embeddings`)
+> **Next step**: Add Plan B as a supplement when edge-case coverage is needed
+
+## Problem
+
+Embeddings in ComfyUI are not loaded through dedicated ComfyUI nodes like LoRAs or
+Checkpoints. They are resolved during CLIP tokenization when the prompt text contains
+`embedding:<name>` syntax (see `comfy/sd1_clip.py:SDTokenizer.tokenize_with_weights`).
+
+This means the existing metadata_collector hook (which intercepts node execution via
+`_map_node_over_list`) cannot capture embeddings the same way it captures LoRAs and
+checkpoints — there is no "EmbeddingLoader" node to intercept.
+
+## Solution Architecture
+
+The hybrid approach combines **two complementary mechanisms** to capture embedding
+usage from all possible paths.
+
+```
+┌─────────────────────────────────────────────────────────┐
+│                 Plan A (已实现)                          │
+│                                                         │
+│  MetadataRegistry.prompt_metadata["prompts"]            │
+│       │                                                  │
+│       ▼                                                  │
+│  _process_embeddings()                                   │
+│       │                                                  │
+│       ├─ Iterate all prompt node texts                   │
+│       ├─ regex extract "embedding:<name>"                │
+│       ├─ resolve name → sha256 via EmbeddingScanner      │
+│       └─ UsageStats.stats["embeddings"][sha256]++        │
+│                                                         │
+│  Coverage: ~95% — all CLIPTextEncode/Flux/etc nodes     │
+│                                                         │
+│  Gap: Custom nodes that load embeddings programmatically │
+│       without putting embedding:name in prompt text      │
+└─────────────────────────────────────────────────────────┘
+
+                         +
+                         ↓  (future: enable Plan B when needed)
+
+┌─────────────────────────────────────────────────────────┐
+│                 Plan B (未来 — monkey-patch)              │
+│                                                         │
+│  comfy/sd1_clip.py:load_embed()                         │
+│       │                                                  │
+│       ▼                                                  │
+│  Monkey-patch intercepts EVERY embedding file load       │
+│       │                                                  │
+│       ├─ Records embedding_name + success/failure        │
+│       ├─ Associates with current prompt_id (via registry)│
+│       └─ Feeds into UsageStats same as Plan A            │
+│                                                         │
+│  Coverage: 100% — catches ALL embedding loads            │
+│                                                         │
+│  Cost: Requires patching into ComfyUI internals          │
+│        (sd1_clip.py, sdxl_clip.py, some text_encoders)   │
+└─────────────────────────────────────────────────────────┘
+```
+
+## Plan B Detail — Monkey-patch `load_embed`
+
+### Target Function
+
+**`comfy.sd1_clip.load_embed(embedding_name, embedding_directory, embedding_size, embed_key=None)`**
+at line 415 of `sd1_clip.py`.
+
+This is the **single choke point** for all embedding file loads in ComfyUI. Every
+CLIP variant (SD1, SDXL, SD3, Flux) calls this same function.
+
+### Implementation Sketch
+
+```python
+# In metadata_collector/metadata_hook.py (or a new module)
+import comfy.sd1_clip as sd1_clip
+
+_original_load_embed = sd1_clip.load_embed
+
+def _patched_load_embed(embedding_name, embedding_directory, embedding_size, embed_key=None):
+    result = _original_load_embed(
+        embedding_name, embedding_directory, embedding_size, embed_key
+    )
+    if result is not None:
+        _record_embedding_usage(embedding_name)
+    return result
+
+sd1_clip.load_embed = _patched_load_embed
+```
+
+### Prompt ID Association
+
+The challenge is associating the `load_embed` call with the current `prompt_id`.
+Options:
+
+1. **Thread-local / contextvar**: Store current `prompt_id` in a `contextvars.ContextVar`
+   that the metadata_collector sets at the start of each prompt execution.
+
+2. **MetadataRegistry singleton**: The MetadataRegistry already has `current_prompt_id`.
+   The patch can read it directly since both run in the same thread.
+
+3. **Lazy aggregation**: Instead of associating with prompt_id at load time, collect
+   all loaded embedding names in a global set during execution, then flush to
+   UsageStats after the prompt completes.
+
+### Files to Patch
+
+| File | Function | Coverage |
+|------|----------|----------|
+| `comfy/sd1_clip.py:415` | `load_embed()` | Primary — SD1.x, SDXL, SD3, Flux |
+| `comfy/sdxl_clip.py` | Not needed (calls `sd1_clip.SDTokenizer`) | — |
+| `comfy/text_encoders/sd3_clip.py` | Not needed (calls `sd1_clip.SDTokenizer`) | — |
+| `comfy/text_encoders/flux.py` | Not needed (calls `sd1_clip.SDTokenizer`) | — |
+
+The SD1 tokenizer is the base class for all CLIP variants' tokenizers, so patching
+`load_embed` covers them all.
+
+### Edge Cases
+
+| Edge Case | Plan A | Plan B |
+|-----------|--------|--------|
+| `embedding:name` in CLIPTextEncode | ✅ | ✅ |
+| `embedding:name` in CLIPTextEncodeFlux | ✅ | ✅ |
+| `embedding:name` in PromptLM (LoRA Manager) | ✅ | ✅ |
+| `embedding:name` in WAS_Text_to_Conditioning | ✅ | ✅ |
+| Custom node that loads embedding programmatically | ❌ | ✅ |
+| Embedding loaded multiple times in same prompt | ✅ (dedup via set) | ✅ (dedup via set) |
+| Embedding file not found | N/A | ✅ (can log) |
+| Embedding dimension mismatch | N/A | ✅ (can log) |
+| Text encoder with non-standard tokenizer (LLaMA, T5...) | Partial | ✅ (if it calls load_embed) |
+
+## Migration Path: Standalone → Hybrid
+
+### Phase 1 — Plan A (当前状态)
+- Prompt text parsing only
+- No monkey-patching required
+- Covers all standard workflows
+
+### Phase 2 — Enable Plan B (未来工作)
+1. Add monkey-patch of `load_embed` in `metadata_collector/metadata_hook.py` (alongside
+   the existing `_map_node_over_list` hook)
+2. Collect loaded embedding names in a `set()` on the registry
+3. In `UsageStats._process_embeddings()`, merge the Plan A results (from prompt text)
+   with the Plan B results (from the patch)
+4. Add `prompt_data` field on MetadataRegistry to store loaded embeddings per prompt
+
+### Deduplication
+
+```python
+# Merge Plan A + Plan B results in _process_embeddings
+plan_a_names = extract_from_prompt_texts(prompts_data)
+plan_b_names = registry.get_loaded_embeddings(prompt_id)
+
+all_names = plan_a_names | plan_b_names
+```
+
+## Testing the Hybrid
+
+| Scenario | What to verify |
+|----------|---------------|
+| Standard `embedding:name` in prompt | Plan A captures it |
+| Embedding loaded by custom node script | Plan B captures it |
+| Both paths fire for same embedding | No double-counting (dedup) |
+| Embedding name resolves to hash | EmbeddingScanner.get_hash_by_filename works |
+| No embedding scanner available | Graceful skip, no crash |
+| Missing embedding file | Plan B logs warning, Plan A skips gracefully |
+| Empty prompt | No crash, no entries |
+| Standalone mode | Both plans disabled gracefully |
+
+## Key Files Reference
+
+| File | Role |
+|------|------|
+| `py/utils/usage_stats.py` | Core — `_process_embeddings()` for Plan A |
+| `py/metadata_collector/constants.py` | `EMBEDDINGS` category constant |
+| `py/metadata_collector/metadata_hook.py` | Future — monkey-patch for Plan B |
+| `py/services/embedding_scanner.py` | Hash resolution service |
+| `py/routes/stats_routes.py` | Already handles `usage_data.get('embeddings', {})` |
+| `comfy/sd1_clip.py` (ComfyUI) | `load_embed()` — Plan B target |

data/supporters.json

@@ -6,22 +6,29 @@
     "Scott R"
   ],
   "allSupporters": [
+    "Brennok",
     "Insomnia Art Designs",
     "2018cfh",
     "megakirbs",
-    "Brennok",
+    "Arlecchino Shion",
+    "Rob Williams",
     "W+K+White",
     "wackop",
     "Phil",
     "Carl G.",
-    "Arlecchino Shion",
     "Charles Blakemore",
-    "Rob Williams",
     "stone9k",
     "itismyelement",
     "$MetaSamsara",
+    "Gingko Biloba",
+    "Kiba",
     "onesecondinosaur",
+    "Christian Byrne",
+    "DM",
+    "Sen314",
+    "Estragon",
     "Rosenthal",
+    "ClockDaemon",
     "Francisco Tatis",
     "Tobi_Swagg",
     "Andrew Wilson",
@@ -30,32 +37,38 @@
     "JongWon Han",
     "VantAI",
     "runte3221",
+    "Illrigger",
+    "Tom Corrigan",
     "FreelancerZ",
+    "Echo",
+    "Robert Stacey",
     "Edgar Tejeda",
     "Fraser Cross",
     "Liam MacDougal",
     "Polymorphic Indeterminate",
+    "Sterilized",
+    "JORGE+LUIZ+HUSSNI+MESSIAS",
     "Marc Whiffen",
     "Skalabananen",
     "Birdy",
-    "Kiba",
     "Mozzel",
-    "Gingko Biloba",
     "Reno Lam",
+    "JSST",
     "sig",
-    "Christian Byrne",
-    "DM",
-    "Sen314",
-    "Estragon",
     "J\\B/ 8r0wns0n",
     "Snaggwort",
     "Takkan",
     "Matt+J",
-    "ClockDaemon",
+    "Baekdoosixt",
+    "Jonathan Ross",
     "KD",
     "Omnidex",
+    "Nazono_hito",
+    "daniel dove",
     "Tyler Trebuchon",
     "Release Cabrakan",
+    "JW Sin",
+    "Alex",
     "SG",
     "carozzz",
     "James Dooley",
@@ -70,77 +83,71 @@
     "RedrockVP",
     "Wolffen",
     "James Todd",
+    "Wicked Choices by ASLPro3D",
     "Steven Pfeiffer",
-    "Tim",
+    "レプサイ",
     "Timmy",
     "Johnny",
+    "Tak",
     "Lisster",
     "Michael Wong",
-    "Illrigger",
+    "Big Red",
     "whudunit",
-    "Tom Corrigan",
+    "dl0901dm",
     "JackieWang",
     "fnkylove",
     "Yushio",
     "Vik71it",
-    "Echo",
+    "Bishoujoker",
     "Lilleman",
-    "Robert Stacey",
     "PM",
     "Todd Keck",
     "Briton Heilbrun",
-    "Jorge Hussni",
-    "Sterilized",
+    "wildnut",
+    "Aleksander Wujczyk",
+    "AM Kuro",
     "BadassArabianMofo",
     "Pascal Dahle",
     "quarz",
     "Greg",
-    "JSST",
     "lmsupporter",
+    "andrew.tappan",
     "zounic",
     "wfpearl",
-    "Baekdoosixt",
-    "Jonathan Ross",
     "Jack B Nimble",
-    "Nazono_hito",
     "Melville Parrish",
-    "daniel dove",
     "Lustre",
-    "JW Sin",
+    "JaxMax",
     "contrite831",
-    "Alex",
     "bh",
     "Marlon Daniels",
     "Starkselle",
     "Aaron Bleuer",
     "LacesOut!",
     "greebles",
+    "Some Guy Named Barry",
     "M Postkasse",
     "Gooohokrbe",
-    "Wicked Choices by ASLPro3D",
     "OldBones",
     "Jacob Hoehler",
     "FinalyFree",
+    "Matt Wenzel",
     "Weasyl",
     "Lex Song",
     "Cory Paza",
-    "Tak",
     "Gonzalo Andre Allendes Lopez",
     "Zach Gonser",
-    "Big Red",
     "Jimmy Ledbetter",
     "Luc Job",
-    "dl0901dm",
     "Philip Hempel",
     "corde",
     "Nick Walker",
-    "Bishoujoker",
+    "dan",
     "aai",
     "Tori",
-    "wildnut",
+    "otaku fra",
     "jean jahren",
-    "Aleksander Wujczyk",
-    "AM Kuro",
+    "MiraiKuriyamaSy",
     "Ran C",
     "ViperC",
     "Penfore",
@@ -149,17 +156,22 @@
     "Karl P.",
     "Akira_HentAI",
     "Gordon Cole",
+    "Adam Taylor",
     "AbstractAss",
-    "andrew.tappan",
+    "Weird_With_A_Beard",
     "N/A",
     "The Spawn",
     "graysock",
+    "Pozadine1",
+    "Qarob",
+    "AIGooner",
+    "Luc",
     "Greenmoustache",
+    "Jackthemind",
     "fancypants",
     "Eldithor",
     "Joboshy",
     "Digital",
-    "JaxMax",
     "takyamtom",
     "Bohemian Corporal",
     "Dan",
@@ -170,42 +182,37 @@
     "carey6409",
     "Olive",
     "太郎 ゲーム",
-    "Some Guy Named Barry",
+    "Roslynd",
     "jinxedx",
     "Cosmosis",
     "AELOX",
     "Dankin",
     "Nicfit23",
     "FloPro4Sho",
+    "Cristian Vazquez",
     "wamekukyouzin",
     "drum matthieu",
     "Dogmaster",
-    "Matt Wenzel",
     "Frank Nitty",
+    "Magic Noob",
     "Christopher Michel",
     "Serge Bekenkamp",
+    "DougPeterson",
     "LeoZero",
     "Antonio Pontes",
     "ApathyJones",
     "Julian V",
     "Steven Owens",
     "nahinahi9",
+    "Kevin John Duck",
     "Dustin Chen",
-    "dan",
     "Blackfish95",
     "Mouthlessman",
     "Paul Kroll",
-    "otaku fra",
-    "MiraiKuriyamaSy",
     "Bas Imagineer",
     "yuxz69",
-    "Adam Taylor",
-    "Weird_With_A_Beard",
     "esthe",
-    "Pozadine1",
-    "Qarob",
-    "AIGooner",
-    "Luc",
+    "decoy",
     "ProtonPrince",
     "DiffDuck",
     "elu3199",
@@ -217,46 +224,50 @@
     "wundershark",
     "mr_dinosaur",
     "Tyrswood",
+    "Ray Wing",
+    "Ranzitho",
+    "Gus",
+    "MJG",
     "linnfrey",
     "IamAyam",
     "skaterb949",
     "Josef Lanzl",
+    "Nerezza",
     "confiscated Zyra",
     "Error_Rule34_Not_found",
+    "aezin",
+    "jcay015",
     "Gerald Welly",
-    "Roslynd",
+    "Erik Lopez",
+    "Mateo Curić",
     "Tee Gee",
     "Geolog",
     "tarek helmi",
     "Neco28",
+    "Eris3D",
     "Max Marklund",
     "David Ortega",
-    "Cristian Vazquez",
-    "Magic Noob",
     "Pronredn",
-    "DougPeterson",
+    "a _",
     "Jeff",
     "Bruce",
     "lh qwe",
-    "Kevin John Duck",
+    "James Coleman",
     "conner",
     "Kevin Christopher",
+    "Chad Idk",
     "dd",
     "Princess Bright Eyes",
     "Dušan Ryban",
     "Felipe dos Santos",
+    "sjon kreutz",
     "John Statham",
     "Douglas Gaspar",
     "Metryman55",
     "AlexDuKaNa",
     "George",
     "dw",
-    "decoy",
-    "Ray Wing",
-    "Ranzitho",
-    "Gus",
     "地獄の禄",
-    "MJG",
     "David LaVallee",
     "ae",
     "Tr4shP4nda",
@@ -273,19 +284,20 @@
     "몽타주",
     "Kland",
     "Hailshem",
+    "kudari",
+    "Naomi Hale Danchi",
+    "epicgamer0020690",
+    "Richard",
     "奚明 刘",
+    "Andrew",
     "Brian M",
-    "Nerezza",
+    "Robert Wegemund",
     "sanborondon",
     "준희 김",
     "Taylor Funk",
-    "aezin",
     "Thought2Form",
-    "jcay015",
     "Kevin Picco",
-    "Erik Lopez",
-    "Mateo Curić",
-    "Eris3D",
+    "Sadlip",
     "Tomohiro Baba",
     "m",
     "Noora",
@@ -294,32 +306,30 @@
     "Mattssn",
     "Mikko Hemilä",
     "Jamie Ogletree",
-    "a _",
-    "James Coleman",
+    "Michael Taylor",
     "Martial",
     "Emil Andersson",
     "Ouro Boros",
-    "Chad Idk",
+    "Atilla Berke Pekduyar",
     "Steam Steam",
     "CryptoTraderJK",
+    "Decx _",
     "Yuji Kaneko",
     "Davaitamin",
     "Rops Alot",
     "tedcor",
     "Sam",
     "Fotek Design",
-    "sjon kreutz",
     "Ace Ventura",
+    "LarsesFPC",
     "MadSpin",
     "inbijiburu",
     "Nick “Loadstone” D",
     "momokai",
     "starbugx",
-    "kudari",
-    "Naomi Hale Danchi",
     "dc7431",
     "ken",
-    "epicgamer0020690",
+    "Crocket",
     "Joshua Porrata",
     "keemun",
     "SuBu",
@@ -339,22 +349,24 @@
     "KitKatM",
     "socrasteeze",
     "OrganicArtifact",
+    "MudkipMedkitz",
+    "deanbrian",
+    "Alex Wortman",
+    "Cody",
+    "emadsultan",
     "Vir",
     "gzmzmvp",
-    "Richard",
-    "Andrew",
-    "Robert Wegemund",
     "Littlehuggy",
     "Gregory Kozhemiak",
     "Draven T",
     "mrjuan",
     "Brian Buie",
-    "Sadlip",
     "Eric Whitney",
     "Joey Callahan",
     "Aquatic Coffee",
     "Ivan Tadic",
     "Mike Simone",
+    "John J Linehan",
     "ethanfel",
     "Elliot E",
     "Morgandel",
@@ -366,34 +378,30 @@
     "Sloan Steddy",
     "Temikus",
     "Artokun",
-    "Michael Taylor",
+    "hexxish",
     "Derek Baker",
     "Anthony Faxlandez",
     "battu",
     "Michael Anthony Scott",
-    "Atilla Berke Pekduyar",
     "Nathan",
-    "Decx _",
+    "NICHOLAS BAXLEY",
     "Pat Hen",
+    "Xeeosat",
+    "Ed Wang",
     "Jordan Shaw",
+    "g unit",
     "Srdb",
     "四糸凜音",
     "Nihongasuki",
-    "LarsesFPC",
     "JC",
     "Prompt Pirate",
     "uwutismxd",
     "FrxzenSnxw",
     "zenobeus",
-    "Crocket",
-    "Jackthemind",
     "ryoma",
     "Stryker",
     "ResidentDeviant",
-    "MudkipMedkitz",
-    "deanbrian",
-    "Alex Wortman",
-    "Cody",
+    "Ginnie",
     "Raku",
     "smart.edge5178",
     "InformedViewz",
@@ -415,6 +423,15 @@
     "SpringBootisTrash",
     "carsten",
     "ikok",
+    "DarkRoast",
+    "letzte",
+    "Nasty+Hobbit",
+    "Sora+Yori",
+    "lrdchs2",
+    "Duk3+Rand0m",
+    "Nathen+Choi",
+    "T",
+    "cocona",
     "ElitaSSJ4",
     "David Schenck",
     "Wolfe7D1",
@@ -426,7 +443,6 @@
     "Goldwaters",
     "Kauffy",
     "Zude",
-    "John J Linehan",
     "Kyler",
     "Edward Kennedy",
     "Justin Blaylock",
@@ -435,17 +451,14 @@
     "Vane Holzer",
     "psytrax",
     "Cyrus Fett",
-    "hexxish",
+    "Xenon Xue",
     "notedfakes",
     "Billy Gladky",
-    "NICHOLAS BAXLEY",
     "Michael Scott",
     "Probis",
-    "Ed Wang",
     "Wes Sims",
     "ItsGeneralButtNaked",
     "Donor4115",
-    "g unit",
     "Distortik",
     "Filippo Ferrari",
     "Youguang",
@@ -460,9 +473,14 @@
     "Mitchell Robson",
     "Whitepinetrader",
     "POPPIN",
-    "Ginnie",
-    "emadsultan",
     "nanana",
+    "ChaChanoKo",
+    "ghoulars",
+    "null",
+    "Beau",
+    "redcarrot",
+    "powerbot99",
+    "Fthehappy",
     "g",
     "J",
     "Alan+Cano",
@@ -474,15 +492,6 @@
     "quantenmecha",
     "Jason+Nash",
     "BillyBoy84",
-    "DarkRoast",
-    "letzte",
-    "Nasty+Hobbit",
-    "Sora+Yori",
-    "lrdchs2",
-    "Duk3+Rand0m",
-    "Nathen+Choi",
-    "T",
-    "cocona",
     "Buecyb99",
     "Welkor",
     "John Martin",
@@ -491,6 +500,8 @@
     "moranqianlong",
     "Kalli Core",
     "Time Valentine",
+    "Christian Schäfer",
+    "りん あめ",
     "Михал Михалыч",
     "Matt",
     "Frogmilk",
@@ -501,21 +512,26 @@
     "Anonym dkjglfleeoeldldldlkf",
     "Ezokewn",
     "SendingRavens",
-    "Xenon Xue",
     "JackJohnnyJim",
+    "TenaciousD",
+    "Dmitry Ryzhov",
+    "Khánh Đặng",
     "Edward Ten Eyck",
     "Michael Docherty",
+    "Jimmy Borup",
     "Paul Hartsuyker",
-    "Henrique Faiolli",
     "elitassj",
     "Solixer",
+    "Pete Pain",
     "Jacob Winter",
     "Ryan Presley Ng",
     "jinksta187",
+    "RHopkirk",
     "Andrew Wilkinson",
     "Manu Thetug",
     "Karlanx",
     "Lyavph",
+    "Maxim",
     "David",
     "Meilo",
     "operationancut",
@@ -537,6 +553,17 @@
     "Scott",
     "Muratoraccio",
     "D",
+    "2turbo",
+    "Somebody",
+    "Balut+Omelette",
+    "Dmitry+Viznesenskiy",
+    "tanjin90",
+    "sternenkrieger",
+    "eriick",
+    "Patrick+Bryan",
+    "Pascalou",
+    "lighthawke",
+    "Lev+Lanevskiy",
     "low9",
     "Winged",
     "YassineKhaled",
@@ -552,13 +579,6 @@
     "Alex",
     "Jacky+Ho",
     "Karru",
-    "ghoulars",
-    "ChaChanoKo",
-    "null",
-    "Beau",
-    "redcarrot",
-    "powerbot99",
-    "Fthehappy",
     "generic404",
     "abattoirblues",
     "zounik",
@@ -568,9 +588,10 @@
     "Bob Barker",
     "edk",
     "Tú Nguyễn Lý Hoàng",
+    "shira1011",
+    "Ben D",
+    "G",
     "Ronan Delevacq",
-    "Christian Schäfer",
-    "りん あめ",
     "ja s",
     "Doug Mason",
     "Jeremy Townsend",
@@ -580,38 +601,41 @@
     "Sean voets",
     "Owen Gwosdz",
     "Jarrid Lee",
+    "Poophead27 Blyat",
     "Kor",
     "Joseph Hanson",
     "John Rednoulf",
+    "Spire",
     "Boba Smith",
     "Devil Lude",
     "David Murcko",
     "MR.Bear",
     "Jack Dole",
+    "somethingtosay8",
+    "ivistorm",
     "max blo",
     "Sauv",
     "Steven",
     "CptNeo",
-    "TenaciousD",
-    "Dmitry Ryzhov",
-    "Khánh Đặng",
     "Maso",
+    "Ted Cart",
+    "Sage Himeros",
     "Eric Ketchum",
     "Kevin Wallace",
-    "Jimmy Borup",
+    "David Spearing",
     "ChicRic",
     "Tigon",
     "BastardSama",
     "mercur",
-    "Pete Pain",
-    "RHopkirk",
+    "Tania Nayelli Fernandez",
+    "Draconach",
     "Yavizu3d",
-    "Maxim",
     "Yves Poezevara",
     "Teriak47",
     "Just me",
     "Raf Stahelin",
     "Вячеслав Маринин",
+    "Dkommander22",
     "Cola Matthew",
     "OniNoKen",
     "Iain Wisely",
@@ -655,6 +679,17 @@
     "SelfishMedic",
     "adderleighn",
     "EnragedAntelope",
+    "Monix",
+    "Trolinka",
+    "IshouI;_;",
+    "PredragR",
+    "Clauzmak",
+    "Nerick",
+    "JoL",
+    "Gold_miner_ego",
+    "SundayRage",
+    "YoruHime",
+    "matter",
     "SRCRCOSS",
     "imer",
     "Akkas+Haque",
@@ -675,18 +710,8 @@
     "Sildoren",
     "Darvidous",
     "Seon+Song",
-    "2turbo",
-    "balut+omelette",
     "Nebuleux",
-    "Dmitry+Viznesenskiy",
-    "Tanjin90",
-    "Somebody",
-    "sternenkrieger",
-    "eriick",
     "Join+Chun",
-    "Pascalou",
-    "lighthawke",
-    "Terraformer",
     "GDS+DEV",
     "4rt+r3d",
     "you+halo9",
@@ -712,17 +737,16 @@
     "_ G3n",
     "Donovan Jenkins",
     "Hans Meier",
-    "shira1011",
     "sicarius",
     "Michael Eid",
+    "Wolf and Fox Legends",
     "beersandbacon",
     "Neko Desco",
     "Bob barker",
-    "Ben D",
     "Ninja Tom",
-    "G",
     "karim ben brik",
     "Vinarus",
+    "Josh Snyder",
     "Michael Zhu",
     "Nemisu",
     "Seraphy",
@@ -732,41 +756,42 @@
     "jumpd",
     "John C",
     "Rim",
+    "Room Light",
     "Jairus Knudsen",
-    "Poophead27 Blyat",
     "Xan Dionysus",
+    "Patryk Serious",
     "Nathan lee",
-    "Lyle Liston",
+    "lylepaul",
     "Middo",
     "Forbidden Atelier",
     "Thomas Sankowski",
-    "Spire",
     "DrB",
     "AZ Party Oasis",
     "Adictedtohumping",
+    "Snorklebort",
     "Towelie",
     "TheFusion",
     "matt",
     "dsffsdfsdfsdfsdfsdf",
-    "somethingtosay8",
     "Jean-françois SEMA",
     "3zS4QNQ4",
     "Terminuz",
     "Kurt",
-    "ivistorm",
     "Matt M.",
     "Ivan Imes",
+    "J M",
+    "Bouya shaka",
     "Faburizu",
     "Jack Lawfield",
     "jimyjomson",
     "Borte",
+    "JaeHyun Jang",
     "Chase Kwon",
-    "Ted Cart",
-    "Sage Himeros",
+    "yyuvuvu",
     "Inyoshu",
     "Chad Barnes",
     "Person Y",
-    "David Spearing",
+    "Nomki",
     "James Ming",
     "vanditking",
     "kripitonga",
@@ -787,5 +812,5 @@
     "Somebody",
     "CK"
   ],
-  "totalCount": 784
+  "totalCount": 809
 }

locales/de.json

@@ -113,6 +113,7 @@
             "replacePreview": "Vorschau ersetzen",
             "copyCheckpointName": "Checkpoint-Name kopieren",
             "copyEmbeddingName": "Embedding-Name kopieren",
+            "embeddingNameCopied": "Embedding-Syntax kopiert",
             "sendCheckpointToWorkflow": "An ComfyUI senden",
             "sendEmbeddingToWorkflow": "An ComfyUI senden"
         },
@@ -447,7 +448,9 @@
                 "modelName": "Modellname",
                 "fileName": "Dateiname"
             },
-            "modelNameDisplayHelp": "Wählen Sie aus, was in der Fußzeile der Modellkarte angezeigt werden soll"
+            "modelNameDisplayHelp": "Wählen Sie aus, was in der Fußzeile der Modellkarte angezeigt werden soll",
+            "cardBlurAmount": "Karten-Overlay-Unschärfe",
+            "cardBlurAmountHelp": "Passen Sie die Unschärfeintensität der Kopf- und Fußzeilen-Overlays auf Modell- und Rezeptkarten an (0 = keine Unschärfe, 20 = maximale Unschärfe)."
         },
         "folderSettings": {
             "activeLibrary": "Aktive Bibliothek",
@@ -692,6 +695,7 @@
             "copyAll": "Alle Syntax kopieren",
             "refreshAll": "Alle Metadaten aktualisieren",
             "repairMetadata": "Metadaten der Auswahl reparieren",
+            "reimportMetadata": "Aus Quelle neu importieren",
             "checkUpdates": "Auswahl auf Updates prüfen",
             "moveAll": "Alle in Ordner verschieben",
             "autoOrganize": "Automatisch organisieren",
@@ -739,6 +743,7 @@
             "setContentRating": "Inhaltsbewertung festlegen",
             "moveToFolder": "In Ordner verschieben",
             "repairMetadata": "Metadaten reparieren",
+            "reimportMetadata": "Aus Quelle neu importieren",
             "excludeModel": "Modell ausschließen",
             "restoreModel": "Modell wiederherstellen",
             "deleteModel": "Modell löschen",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "Rezept hat keine Quell-URL, Neuimport nicht möglich",
+                "failed": "Neuimport des Rezepts fehlgeschlagen: {message}",
+                "missingId": "Neuimport nicht möglich: Rezept-ID fehlt"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "Stammverzeichnis",
+        "moreOptions": "Weitere Optionen",
         "collapseAll": "Alle Ordner einklappen",
         "pinSidebar": "Sidebar anheften",
         "unpinSidebar": "Sidebar lösen",
+        "hideOnThisPage": "Seitenleiste auf dieser Seite ausblenden",
+        "showSidebar": "Seitenleiste anzeigen",
+        "sidebarHiddenNotification": "Seitenleiste auf der Seite {page} ausgeblendet",
         "switchToListView": "Zur Listenansicht wechseln",
         "switchToTreeView": "Zur Baumansicht wechseln",
         "recursiveOn": "Unterordner einbeziehen",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "Keine kompatiblen Knoten im aktuellen Workflow verfügbar",
             "noTargetNodeSelected": "Kein Zielknoten ausgewählt",
             "modelUpdated": "Modell im Workflow aktualisiert",
-            "modelFailed": "Fehler beim Aktualisieren des Modellknotens"
+            "modelFailed": "Fehler beim Aktualisieren des Modellknotens",
+            "embeddingAdded": "Embedding zum Workflow hinzugefügt",
+            "embeddingFailed": "Fehler beim Hinzufügen des Embeddings"
         },
         "nodeSelector": {
             "recipe": "Rezept",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "Ersetzen",
             "append": "Anhängen",
             "selectTargetNode": "Zielknoten auswählen",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "Rezept wird aus Quelle neu importiert...",
+            "reimportSuccess": "Rezept erfolgreich neu importiert",
+            "reimportBulkComplete": "Neuimport abgeschlossen: {completed} importiert, {failed} fehlgeschlagen (von {total})",
+            "reimportBulkFailed": "Neuimport einiger Rezepte fehlgeschlagen",
             "noMissingLorasInSelection": "Keine fehlenden LoRAs in ausgewählten Rezepten gefunden",
             "noLoraRootConfigured": "Kein LoRA-Stammverzeichnis konfiguriert. Bitte legen Sie ein Standard-LoRA-Stammverzeichnis in den Einstellungen fest."
         },

locales/en.json

@@ -113,6 +113,7 @@
             "replacePreview": "Replace Preview",
             "copyCheckpointName": "Copy checkpoint name",
             "copyEmbeddingName": "Copy embedding name",
+            "embeddingNameCopied": "Embedding syntax copied",
             "sendCheckpointToWorkflow": "Send to ComfyUI",
             "sendEmbeddingToWorkflow": "Send to ComfyUI"
         },
@@ -447,7 +448,9 @@
                 "modelName": "Model Name",
                 "fileName": "File Name"
             },
-            "modelNameDisplayHelp": "Choose what to display in the model card footer"
+            "modelNameDisplayHelp": "Choose what to display in the model card footer",
+            "cardBlurAmount": "Card Overlay Blur",
+            "cardBlurAmountHelp": "Adjust the blur intensity of the header and footer overlays on model and recipe cards (0 = no blur, 20 = maximum blur)."
         },
         "folderSettings": {
             "activeLibrary": "Active Library",
@@ -692,6 +695,7 @@
             "copyAll": "Copy Selected Syntax",
             "refreshAll": "Refresh Selected Metadata",
             "repairMetadata": "Repair Metadata for Selected",
+            "reimportMetadata": "Re-import from Source",
             "checkUpdates": "Check Updates for Selected",
             "moveAll": "Move Selected to Folder",
             "autoOrganize": "Auto-Organize Selected",
@@ -739,6 +743,7 @@
             "setContentRating": "Set Content Rating",
             "moveToFolder": "Move to Folder",
             "repairMetadata": "Repair metadata",
+            "reimportMetadata": "Re-import from Source",
             "excludeModel": "Exclude Model",
             "restoreModel": "Restore Model",
             "deleteModel": "Delete Model",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "Recipe has no source URL, cannot re-import",
+                "failed": "Failed to re-import recipe: {message}",
+                "missingId": "Cannot re-import recipe: Missing recipe ID"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "Root",
+        "moreOptions": "More options",
         "collapseAll": "Collapse All Folders",
         "pinSidebar": "Pin Sidebar",
         "unpinSidebar": "Unpin Sidebar",
+        "hideOnThisPage": "Hide sidebar on this page",
+        "showSidebar": "Show sidebar",
+        "sidebarHiddenNotification": "Folder sidebar hidden on {page} page",
         "switchToListView": "Switch to List View",
         "switchToTreeView": "Switch to Tree View",
         "recursiveOn": "Include subfolders",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "No compatible nodes available in the current workflow",
             "noTargetNodeSelected": "No target node selected",
             "modelUpdated": "Model updated in workflow",
-            "modelFailed": "Failed to update model node"
+            "modelFailed": "Failed to update model node",
+            "embeddingAdded": "Embedding added to workflow",
+            "embeddingFailed": "Failed to add embedding"
         },
         "nodeSelector": {
             "recipe": "Recipe",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "Replace",
             "append": "Append",
             "selectTargetNode": "Select target node",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "Re-importing recipe from source...",
+            "reimportSuccess": "Recipe re-imported successfully",
+            "reimportBulkComplete": "Re-import complete: {completed} re-imported, {failed} failed (of {total})",
+            "reimportBulkFailed": "Failed to re-import some recipes",
             "noMissingLorasInSelection": "No missing LoRAs found in selected recipes",
             "noLoraRootConfigured": "No LoRA root directory configured. Please set a default LoRA root in settings."
         },

locales/es.json

@@ -113,6 +113,7 @@
             "replacePreview": "Reemplazar vista previa",
             "copyCheckpointName": "Copiar nombre del checkpoint",
             "copyEmbeddingName": "Copiar nombre del embedding",
+            "embeddingNameCopied": "Sintaxis de embedding copiada",
             "sendCheckpointToWorkflow": "Enviar a ComfyUI",
             "sendEmbeddingToWorkflow": "Enviar a ComfyUI"
         },
@@ -447,7 +448,9 @@
                 "modelName": "Nombre del modelo",
                 "fileName": "Nombre del archivo"
             },
-            "modelNameDisplayHelp": "Elige qué mostrar en el pie de la tarjeta del modelo"
+            "modelNameDisplayHelp": "Elige qué mostrar en el pie de la tarjeta del modelo",
+            "cardBlurAmount": "Desenfoque de superposición de tarjetas",
+            "cardBlurAmountHelp": "Ajuste la intensidad de desenfoque de las superposiciones del encabezado y pie de página en las tarjetas de modelos y recetas (0 = sin desenfoque, 20 = desenfoque máximo)."
         },
         "folderSettings": {
             "activeLibrary": "Biblioteca activa",
@@ -692,6 +695,7 @@
             "copyAll": "Copiar toda la sintaxis",
             "refreshAll": "Actualizar todos los metadatos",
             "repairMetadata": "Reparar metadatos de la selección",
+            "reimportMetadata": "Reimportar desde origen",
             "checkUpdates": "Comprobar actualizaciones para la selección",
             "moveAll": "Mover todos a carpeta",
             "autoOrganize": "Auto-organizar seleccionados",
@@ -739,6 +743,7 @@
             "setContentRating": "Establecer clasificación de contenido",
             "moveToFolder": "Mover a carpeta",
             "repairMetadata": "Reparar metadatos",
+            "reimportMetadata": "Reimportar desde origen",
             "excludeModel": "Excluir modelo",
             "restoreModel": "Restaurar modelo",
             "deleteModel": "Eliminar modelo",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "La receta no tiene URL de origen, no se puede reimportar",
+                "failed": "Error al reimportar la receta: {message}",
+                "missingId": "No se puede reimportar la receta: falta el ID"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "Raíz",
+        "moreOptions": "Más opciones",
         "collapseAll": "Colapsar todas las carpetas",
         "pinSidebar": "Fijar barra lateral",
         "unpinSidebar": "Desfijar barra lateral",
+        "hideOnThisPage": "Ocultar barra lateral en esta página",
+        "showSidebar": "Mostrar barra lateral",
+        "sidebarHiddenNotification": "Barra lateral oculta en la página {page}",
         "switchToListView": "Cambiar a vista de lista",
         "switchToTreeView": "Cambiar a vista de árbol",
         "recursiveOn": "Incluir subcarpetas",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "No hay nodos compatibles disponibles en el flujo de trabajo actual",
             "noTargetNodeSelected": "No se ha seleccionado ningún nodo de destino",
             "modelUpdated": "Modelo actualizado en el flujo de trabajo",
-            "modelFailed": "Error al actualizar nodo de modelo"
+            "modelFailed": "Error al actualizar nodo de modelo",
+            "embeddingAdded": "Embedding añadido al flujo de trabajo",
+            "embeddingFailed": "Error al añadir el embedding"
         },
         "nodeSelector": {
             "recipe": "Receta",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "Reemplazar",
             "append": "Añadir",
             "selectTargetNode": "Seleccionar nodo de destino",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "Reimportando receta desde origen...",
+            "reimportSuccess": "Receta reimportada exitosamente",
+            "reimportBulkComplete": "Reimportación completa: {completed} reimportadas, {failed} fallidas (de {total})",
+            "reimportBulkFailed": "Error al reimportar algunas recetas",
             "noMissingLorasInSelection": "No se encontraron LoRAs faltantes en las recetas seleccionadas",
             "noLoraRootConfigured": "No se ha configurado el directorio raíz de LoRA. Por favor, establezca un directorio raíz de LoRA predeterminado en la configuración."
         },

locales/fr.json

@@ -113,6 +113,7 @@
             "replacePreview": "Remplacer l'aperçu",
             "copyCheckpointName": "Copier le nom du checkpoint",
             "copyEmbeddingName": "Copier le nom de l'embedding",
+            "embeddingNameCopied": "Syntaxe dembedding copiée",
             "sendCheckpointToWorkflow": "Envoyer vers ComfyUI",
             "sendEmbeddingToWorkflow": "Envoyer vers ComfyUI"
         },
@@ -447,7 +448,9 @@
                 "modelName": "Nom du modèle",
                 "fileName": "Nom du fichier"
             },
-            "modelNameDisplayHelp": "Choisissez ce qui doit être affiché dans le pied de page de la carte du modèle"
+            "modelNameDisplayHelp": "Choisissez ce qui doit être affiché dans le pied de page de la carte du modèle",
+            "cardBlurAmount": "Flou de superposition des cartes",
+            "cardBlurAmountHelp": "Ajustez l'intensité du flou des superpositions d'en-tête et de pied de page sur les cartes de modèles et de recettes (0 = aucun flou, 20 = flou maximal)."
         },
         "folderSettings": {
             "activeLibrary": "Bibliothèque active",
@@ -692,6 +695,7 @@
             "copyAll": "Copier toute la syntaxe",
             "refreshAll": "Actualiser toutes les métadonnées",
             "repairMetadata": "Réparer les métadonnées de la sélection",
+            "reimportMetadata": "Ré-importer depuis la source",
             "checkUpdates": "Vérifier les mises à jour pour la sélection",
             "moveAll": "Déplacer tout vers un dossier",
             "autoOrganize": "Auto-organiser la sélection",
@@ -739,6 +743,7 @@
             "setContentRating": "Définir la classification du contenu",
             "moveToFolder": "Déplacer vers un dossier",
             "repairMetadata": "Réparer les métadonnées",
+            "reimportMetadata": "Ré-importer depuis la source",
             "excludeModel": "Exclure le modèle",
             "restoreModel": "Restaurer le modèle",
             "deleteModel": "Supprimer le modèle",
@@ -866,6 +871,13 @@
                 "skipped": "Recette déjà à la version la plus récente, aucune réparation nécessaire",
                 "failed": "Échec de la réparation de la recette : {message}",
                 "missingId": "Impossible de réparer la recette : ID de recette manquant"
+            },
+            "reimport": {
+                "starting": "Ré-import de la recette depuis la source...",
+                "success": "Recette ré-importée avec succès",
+                "noSourceUrl": "La recette n'a pas d'URL source, ré-import impossible",
+                "failed": "Échec du ré-import de la recette : {message}",
+                "missingId": "Impossible de ré-importer la recette : ID de recette manquant"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "Racine",
+        "moreOptions": "Plus d'options",
         "collapseAll": "Réduire tous les dossiers",
         "pinSidebar": "Épingler la barre latérale",
         "unpinSidebar": "Désépingler la barre latérale",
+        "hideOnThisPage": "Masquer la barre latérale sur cette page",
+        "showSidebar": "Afficher la barre latérale",
+        "sidebarHiddenNotification": "Barre latérale masquée sur la page {page}",
         "switchToListView": "Passer en vue liste",
         "switchToTreeView": "Passer en vue arborescence",
         "recursiveOn": "Inclure les sous-dossiers",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "Aucun nœud compatible disponible dans le workflow actuel",
             "noTargetNodeSelected": "Aucun nœud cible sélectionné",
             "modelUpdated": "Modèle mis à jour dans le workflow",
-            "modelFailed": "Échec de la mise à jour du nœud modèle"
+            "modelFailed": "Échec de la mise à jour du nœud modèle",
+            "embeddingAdded": "Embedding ajouté au workflow",
+            "embeddingFailed": "Échec de l'ajout de l'embedding"
         },
         "nodeSelector": {
             "recipe": "Recipe",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "Remplacer",
             "append": "Ajouter",
             "selectTargetNode": "Sélectionner le nœud cible",
@@ -1717,6 +1736,10 @@
             "repairBulkComplete": "Réparation terminée : {repaired} réparée(s), {skipped} ignorée(s) (sur {total})",
             "repairBulkSkipped": "Aucune réparation nécessaire parmi les {total} recettes sélectionnées",
             "repairBulkFailed": "Échec de la réparation des recettes sélectionnées : {message}",
+            "reimporting": "Ré-import de la recette depuis la source...",
+            "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 recettes",
             "noMissingLorasInSelection": "Aucun LoRA manquant trouvé dans les recettes sélectionnées",
             "noLoraRootConfigured": "Aucun répertoire racine LoRA configuré. Veuillez définir un répertoire racine LoRA par défaut dans les paramètres."
         },

locales/he.json

@@ -113,6 +113,7 @@
             "replacePreview": "החלף תצוגה מקדימה",
             "copyCheckpointName": "העתק שם Checkpoint",
             "copyEmbeddingName": "העתק שם Embedding",
+            "embeddingNameCopied": "תחביר Embedding הועתק",
             "sendCheckpointToWorkflow": "שלח ל-ComfyUI",
             "sendEmbeddingToWorkflow": "שלח ל-ComfyUI"
         },
@@ -447,7 +448,9 @@
                 "modelName": "שם מודל",
                 "fileName": "שם קובץ"
             },
-            "modelNameDisplayHelp": "בחר מה להציג בכותרת התחתונה של כרטיס המודל"
+            "modelNameDisplayHelp": "בחר מה להציג בכותרת התחתונה של כרטיס המודל",
+            "cardBlurAmount": "עוצמת טשטוש שכבת-על בכרטיס",
+            "cardBlurAmountHelp": "כוונן את עוצמת הטשטוש של שכבת-העל בכותרת ובכותרות תחתונה בכרטיסי מודל ומתכונים (0 = ללא טשטוש, 20 = טשטוש מקסימלי)."
         },
         "folderSettings": {
             "activeLibrary": "ספרייה פעילה",
@@ -692,6 +695,7 @@
             "copyAll": "העתק את כל התחבירים",
             "refreshAll": "רענן את כל המטא-דאטה",
             "repairMetadata": "תקן מטא-דאטה עבור הנבחרים",
+            "reimportMetadata": "ייבא מחדש ממקור",
             "checkUpdates": "בדוק עדכונים לבחירה",
             "moveAll": "העבר הכל לתיקייה",
             "autoOrganize": "ארגן אוטומטית נבחרים",
@@ -739,6 +743,7 @@
             "setContentRating": "הגדר דירוג תוכן",
             "moveToFolder": "העבר לתיקייה",
             "repairMetadata": "תיקון מטא-דאטה",
+            "reimportMetadata": "ייבא מחדש ממקור",
             "excludeModel": "החרג מודל",
             "restoreModel": "שחזור מודל",
             "deleteModel": "מחק מודל",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "למתכון אין כתובת מקור, לא ניתן לייבא מחדש",
+                "failed": "ייבוא המתכון מחדש נכשל: {message}",
+                "missingId": "לא ניתן לייבא מחדש: חסר מזהה מתכון"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "שורש",
+        "moreOptions": "אפשרויות נוספות",
         "collapseAll": "כווץ את כל התיקיות",
         "pinSidebar": "נעל סרגל צד",
         "unpinSidebar": "שחרר סרגל צד",
+        "hideOnThisPage": "הסתר סרגל צד בדף זה",
+        "showSidebar": "הצג סרגל צד",
+        "sidebarHiddenNotification": "סרגל הצד מוסתר בדף {page}",
         "switchToListView": "עבור לתצוגת רשימה",
         "switchToTreeView": "תצוגת עץ",
         "recursiveOn": "כלול תיקיות משנה",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "אין צמתים תואמים זמינים ב-workflow הנוכחי",
             "noTargetNodeSelected": "לא נבחר צומת יעד",
             "modelUpdated": "מודל עודכן ב-workflow",
-            "modelFailed": "עדכון צומת המודל נכשל"
+            "modelFailed": "עדכון צומת המודל נכשל",
+            "embeddingAdded": "Embedding נוסף ל-workflow",
+            "embeddingFailed": "הוספת Embedding נכשלה"
         },
         "nodeSelector": {
             "recipe": "מתכון",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "החלף",
             "append": "הוסף",
             "selectTargetNode": "בחר צומת יעד",
@@ -1717,6 +1736,10 @@
             "repairBulkComplete": "התיקון הושלם: {repaired} תוקנו, {skipped} דולגו (מתוך {total})",
             "repairBulkSkipped": "אין צורך בתיקון עבור {total} המתכונים הנבחרים",
             "repairBulkFailed": "תיקון המתכונים הנבחרים נכשל: {message}",
+            "reimporting": "מייבא מתכון מחדש מהמקור...",
+            "reimportSuccess": "המתכון יובא מחדש בהצלחה",
+            "reimportBulkComplete": "ייבוא מחדש הושלם: {completed} יובאו, {failed} נכשלו (מתוך {total})",
+            "reimportBulkFailed": "ייבוא מחדש של חלק מהמתכונים נכשל",
             "noMissingLorasInSelection": "לא נמצאו LoRAs חסרים במתכונים שנבחרו",
             "noLoraRootConfigured": "תיקיית השורש של LoRA לא מוגדרת. אנא הגדר תיקיית שורש LoRA ברירת מחדל בהגדרות."
         },

locales/ja.json

@@ -113,6 +113,7 @@
             "replacePreview": "プレビューを置換",
             "copyCheckpointName": "checkpoint名をコピー",
             "copyEmbeddingName": "embedding名をコピー",
+            "embeddingNameCopied": "Embedding構文をコピーしました",
             "sendCheckpointToWorkflow": "ComfyUIに送信",
             "sendEmbeddingToWorkflow": "ComfyUIに送信"
         },
@@ -447,7 +448,9 @@
                 "modelName": "モデル名",
                 "fileName": "ファイル名"
             },
-            "modelNameDisplayHelp": "モデルカードのフッターに表示する内容を選択"
+            "modelNameDisplayHelp": "モデルカードのフッターに表示する内容を選択",
+            "cardBlurAmount": "カードオーバーレイのぼかし",
+            "cardBlurAmountHelp": "モデルカードとレシピカードのヘッダー・フッターオーバーレイのぼかし強度を調整します（0 = ぼかしなし、20 = 最大ぼかし）。"
         },
         "folderSettings": {
             "activeLibrary": "アクティブライブラリ",
@@ -692,6 +695,7 @@
             "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",
+            "reimportMetadata": "ソースから再インポート",
             "checkUpdates": "選択項目の更新を確認",
             "moveAll": "すべてをフォルダに移動",
             "autoOrganize": "自動整理を実行",
@@ -739,6 +743,7 @@
             "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",
+            "reimportMetadata": "ソースから再インポート",
             "excludeModel": "モデルを除外",
             "restoreModel": "モデルを復元",
             "deleteModel": "モデルを削除",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "レシピにソースURLがありません。再インポートできません",
+                "failed": "レシピの再インポートに失敗しました: {message}",
+                "missingId": "レシピを再インポートできません: レシピIDがありません"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "ルート",
+        "moreOptions": "その他のオプション",
         "collapseAll": "すべてのフォルダを折りたたむ",
         "pinSidebar": "サイドバーを固定",
         "unpinSidebar": "サイドバーの固定を解除",
+        "hideOnThisPage": "このページでサイドバーを非表示",
+        "showSidebar": "サイドバーを表示",
+        "sidebarHiddenNotification": "{page}ページでサイドバーが非表示になっています",
         "switchToListView": "リストビューに切り替え",
         "switchToTreeView": "ツリー表示に切り替え",
         "recursiveOn": "サブフォルダーを含める",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "現在のワークフローには互換性のあるノードがありません",
             "noTargetNodeSelected": "ターゲットノードが選択されていません",
             "modelUpdated": "モデルがワークフローで更新されました",
-            "modelFailed": "モデルノードの更新に失敗しました"
+            "modelFailed": "モデルノードの更新に失敗しました",
+            "embeddingAdded": "Embeddingをワークフローに追加しました",
+            "embeddingFailed": "Embeddingの追加に失敗しました"
         },
         "nodeSelector": {
             "recipe": "レシピ",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "置換",
             "append": "追加",
             "selectTargetNode": "ターゲットノードを選択",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "ソースからレシピを再インポート中...",
+            "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",
             "noMissingLorasInSelection": "選択したレシピに不足している LoRA が見つかりませんでした",
             "noLoraRootConfigured": "LoRA ルートディレクトリが設定されていません。設定でデフォルトの LoRA ルートを設定してください。"
         },

locales/ko.json

@@ -113,6 +113,7 @@
             "replacePreview": "미리보기 교체",
             "copyCheckpointName": "Checkpoint 이름 복사",
             "copyEmbeddingName": "Embedding 이름 복사",
+            "embeddingNameCopied": "Embedding 구문 복사됨",
             "sendCheckpointToWorkflow": "ComfyUI로 전송",
             "sendEmbeddingToWorkflow": "ComfyUI로 전송"
         },
@@ -447,7 +448,9 @@
                 "modelName": "모델명",
                 "fileName": "파일명"
             },
-            "modelNameDisplayHelp": "모델 카드 하단에 표시할 내용을 선택하세요"
+            "modelNameDisplayHelp": "모델 카드 하단에 표시할 내용을 선택하세요",
+            "cardBlurAmount": "카드 오버레이 흐림 강도",
+            "cardBlurAmountHelp": "모델 및 레시피 카드의 헤더와 푸터 오버레이 흐림 강도를 조정합니다 (0 = 흐림 없음, 20 = 최대 흐림)."
         },
         "folderSettings": {
             "activeLibrary": "활성 라이브러리",
@@ -692,6 +695,7 @@
             "copyAll": "모든 문법 복사",
             "refreshAll": "모든 메타데이터 새로고침",
             "repairMetadata": "선택한 레시피 메타데이터 복구",
+            "reimportMetadata": "소스에서 다시 가져오기",
             "checkUpdates": "선택 항목 업데이트 확인",
             "moveAll": "모두 폴더로 이동",
             "autoOrganize": "자동 정리 선택",
@@ -739,6 +743,7 @@
             "setContentRating": "콘텐츠 등급 설정",
             "moveToFolder": "폴더로 이동",
             "repairMetadata": "메타데이터 복구",
+            "reimportMetadata": "소스에서 다시 가져오기",
             "excludeModel": "모델 제외",
             "restoreModel": "모델 복원",
             "deleteModel": "모델 삭제",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "레시피에 소스 URL이 없어 다시 가져올 수 없습니다",
+                "failed": "레시피 다시 가져오기 실패: {message}",
+                "missingId": "레시피를 다시 가져올 수 없음: 레시피 ID 누락"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "루트",
+        "moreOptions": "더 많은 옵션",
         "collapseAll": "모든 폴더 접기",
         "pinSidebar": "사이드바 고정",
         "unpinSidebar": "사이드바 고정 해제",
+        "hideOnThisPage": "이 페이지에서 사이드바 숨기기",
+        "showSidebar": "사이드바 표시",
+        "sidebarHiddenNotification": "{page} 페이지에서 사이드바가 숨겨져 있습니다",
         "switchToListView": "목록 보기로 전환",
         "switchToTreeView": "트리 보기로 전환",
         "recursiveOn": "하위 폴더 포함",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "현재 워크플로에서 호환되는 노드가 없습니다",
             "noTargetNodeSelected": "대상 노드가 선택되지 않았습니다",
             "modelUpdated": "모델이 워크플로에서 업데이트되었습니다",
-            "modelFailed": "모델 노드 업데이트 실패"
+            "modelFailed": "모델 노드 업데이트 실패",
+            "embeddingAdded": "Embedding을 워크플로에 추가했습니다",
+            "embeddingFailed": "Embedding 추가 실패"
         },
         "nodeSelector": {
             "recipe": "레시피",
             "lora": "LoRA",
+            "embedding": "임베딩",
             "replace": "교체",
             "append": "추가",
             "selectTargetNode": "대상 노드 선택",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "소스에서 레시피를 다시 가져오는 중...",
+            "reimportSuccess": "레시피를 다시 가져왔습니다",
+            "reimportBulkComplete": "다시 가져오기 완료: {completed}개 성공, {failed}개 실패 (총 {total}개)",
+            "reimportBulkFailed": "일부 레시피를 다시 가져오지 못했습니다",
             "noMissingLorasInSelection": "선택한 레시피에서 누락된 LoRA를 찾을 수 없습니다",
             "noLoraRootConfigured": "LoRA 루트 디렉토리가 구성되지 않았습니다. 설정에서 기본 LoRA 루트를 설정하세요."
         },

locales/ru.json

@@ -113,6 +113,7 @@
             "replacePreview": "Заменить превью",
             "copyCheckpointName": "Копировать имя checkpoint",
             "copyEmbeddingName": "Копировать имя embedding",
+            "embeddingNameCopied": "Синтаксис embedding скопирован",
             "sendCheckpointToWorkflow": "Отправить в ComfyUI",
             "sendEmbeddingToWorkflow": "Отправить в ComfyUI"
         },
@@ -447,7 +448,9 @@
                 "modelName": "Название модели",
                 "fileName": "Имя файла"
             },
-            "modelNameDisplayHelp": "Выберите, что отображать в нижней части карточки модели"
+            "modelNameDisplayHelp": "Выберите, что отображать в нижней части карточки модели",
+            "cardBlurAmount": "Размытие наложения карточек",
+            "cardBlurAmountHelp": "Настройте интенсивность размытия наложений верхнего и нижнего колонтитулов на карточках моделей и рецептов (0 = без размытия, 20 = максимальное размытие)."
         },
         "folderSettings": {
             "activeLibrary": "Активная библиотека",
@@ -692,6 +695,7 @@
             "copyAll": "Копировать весь синтаксис",
             "refreshAll": "Обновить все метаданные",
             "repairMetadata": "Восстановить метаданные для выбранных",
+            "reimportMetadata": "Переимпортировать из источника",
             "checkUpdates": "Проверить обновления для выбранных",
             "moveAll": "Переместить все в папку",
             "autoOrganize": "Автоматически организовать выбранные",
@@ -739,6 +743,7 @@
             "setContentRating": "Установить рейтинг контента",
             "moveToFolder": "Переместить в папку",
             "repairMetadata": "Восстановить метаданные",
+            "reimportMetadata": "Переимпортировать из источника",
             "excludeModel": "Исключить модель",
             "restoreModel": "Восстановить модель",
             "deleteModel": "Удалить модель",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "У рецепта нет URL источника, переимпорт невозможен",
+                "failed": "Не удалось переимпортировать рецепт: {message}",
+                "missingId": "Невозможно переимпортировать рецепт: отсутствует ID"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "Корень",
+        "moreOptions": "Дополнительные параметры",
         "collapseAll": "Свернуть все папки",
         "pinSidebar": "Закрепить боковую панель",
         "unpinSidebar": "Открепить боковую панель",
+        "hideOnThisPage": "Скрыть боковую панель на этой странице",
+        "showSidebar": "Показать боковую панель",
+        "sidebarHiddenNotification": "Боковая панель скрыта на странице {page}",
         "switchToListView": "Переключить на вид списка",
         "switchToTreeView": "Переключить на древовидный вид",
         "recursiveOn": "Включать вложенные папки",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "В текущем workflow нет совместимых узлов",
             "noTargetNodeSelected": "Целевой узел не выбран",
             "modelUpdated": "Модель обновлена в workflow",
-            "modelFailed": "Не удалось обновить узел модели"
+            "modelFailed": "Не удалось обновить узел модели",
+            "embeddingAdded": "Embedding добавлен в workflow",
+            "embeddingFailed": "Не удалось добавить embedding"
         },
         "nodeSelector": {
             "recipe": "Рецепт",
             "lora": "LoRA",
+            "embedding": "Эмбеддинг",
             "replace": "Заменить",
             "append": "Добавить",
             "selectTargetNode": "Выберите целевой узел",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "Переимпорт рецепта из источника...",
+            "reimportSuccess": "Рецепт успешно переимпортирован",
+            "reimportBulkComplete": "Переимпорт завершён: {completed} переимпортировано, {failed} ошибок (из {total})",
+            "reimportBulkFailed": "Не удалось переимпортировать некоторые рецепты",
             "noMissingLorasInSelection": "В выбранных рецептах не найдены отсутствующие LoRAs",
             "noLoraRootConfigured": "Корневой каталог LoRA не настроен. Пожалуйста, установите корневой каталог LoRA по умолчанию в настройках."
         },

locales/zh-CN.json

@@ -113,6 +113,7 @@
             "replacePreview": "替换预览",
             "copyCheckpointName": "复制 Checkpoint 名称",
             "copyEmbeddingName": "复制 Embedding 名称",
+            "embeddingNameCopied": "已复制 Embedding 语法",
             "sendCheckpointToWorkflow": "发送到 ComfyUI",
             "sendEmbeddingToWorkflow": "发送到 ComfyUI"
         },
@@ -447,7 +448,9 @@
                 "modelName": "模型名称",
                 "fileName": "文件名"
             },
-            "modelNameDisplayHelp": "选择在模型卡片底部显示的内容"
+            "modelNameDisplayHelp": "选择在模型卡片底部显示的内容",
+            "cardBlurAmount": "卡片叠加模糊强度",
+            "cardBlurAmountHelp": "调整模型和配方卡片上页眉和页脚叠加层的模糊强度（0 = 无模糊，20 = 最大模糊）。"
         },
         "folderSettings": {
             "activeLibrary": "活动库",
@@ -692,6 +695,7 @@
             "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",
+            "reimportMetadata": "从源重新导入",
             "checkUpdates": "检查所选更新",
             "moveAll": "移动所选中到文件夹",
             "autoOrganize": "自动整理所选模型",
@@ -739,6 +743,7 @@
             "setContentRating": "设置内容评级",
             "moveToFolder": "移动到文件夹",
             "repairMetadata": "修复元数据",
+            "reimportMetadata": "从源重新导入",
             "excludeModel": "排除模型",
             "restoreModel": "恢复模型",
             "deleteModel": "删除模型",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "配方没有源URL，无法重新导入",
+                "failed": "重新导入配方失败：{message}",
+                "missingId": "无法重新导入配方：缺少配方ID"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "根目录",
+        "moreOptions": "更多选项",
         "collapseAll": "折叠所有文件夹",
         "pinSidebar": "固定侧边栏",
         "unpinSidebar": "取消固定侧边栏",
+        "hideOnThisPage": "隐藏此页面侧边栏",
+        "showSidebar": "显示侧边栏",
+        "sidebarHiddenNotification": "{page}页面的文件夹侧边栏已隐藏",
         "switchToListView": "切换到列表视图",
         "switchToTreeView": "切换到树状视图",
         "recursiveOn": "包含子文件夹",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "当前工作流中没有兼容的节点",
             "noTargetNodeSelected": "未选择目标节点",
             "modelUpdated": "模型已更新到工作流",
-            "modelFailed": "更新模型节点失败"
+            "modelFailed": "更新模型节点失败",
+            "embeddingAdded": "Embedding 已追加到工作流",
+            "embeddingFailed": "添加 Embedding 失败"
         },
         "nodeSelector": {
             "recipe": "配方",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "替换",
             "append": "追加",
             "selectTargetNode": "选择目标节点",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "正在从源重新导入配方...",
+            "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",
             "noMissingLorasInSelection": "在选定的配方中未找到缺失的 LoRAs",
             "noLoraRootConfigured": "未配置 LoRA 根目录。请在设置中设置默认的 LoRA 根目录。"
         },

locales/zh-TW.json

@@ -113,6 +113,7 @@
             "replacePreview": "更換預覽圖",
             "copyCheckpointName": "複製檢查點名稱",
             "copyEmbeddingName": "複製嵌入名稱",
+            "embeddingNameCopied": "已複製 Embedding 語法",
             "sendCheckpointToWorkflow": "傳送到 ComfyUI",
             "sendEmbeddingToWorkflow": "傳送到 ComfyUI"
         },
@@ -447,7 +448,9 @@
                 "modelName": "模型名稱",
                 "fileName": "檔案名稱"
             },
-            "modelNameDisplayHelp": "選擇在模型卡片底部顯示的內容"
+            "modelNameDisplayHelp": "選擇在模型卡片底部顯示的內容",
+            "cardBlurAmount": "卡片疊加模糊強度",
+            "cardBlurAmountHelp": "調整模型和配方卡片上頁首和頁尾疊加層的模糊強度（0 = 無模糊，20 = 最大模糊）。"
         },
         "folderSettings": {
             "activeLibrary": "使用中的資料庫",
@@ -692,6 +695,7 @@
             "copyAll": "複製全部語法",
             "refreshAll": "刷新全部 metadata",
             "repairMetadata": "修復所選中元數據",
+            "reimportMetadata": "從來源重新匯入",
             "checkUpdates": "檢查所選更新",
             "moveAll": "全部移動到資料夾",
             "autoOrganize": "自動整理所選模型",
@@ -739,6 +743,7 @@
             "setContentRating": "設定內容分級",
             "moveToFolder": "移動到資料夾",
             "repairMetadata": "修復元數據",
+            "reimportMetadata": "從來源重新匯入",
             "excludeModel": "排除模型",
             "restoreModel": "還原模型",
             "deleteModel": "刪除模型",
@@ -866,6 +871,13 @@
                 "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",
+                "noSourceUrl": "配方沒有來源URL，無法重新匯入",
+                "failed": "重新匯入配方失敗：{message}",
+                "missingId": "無法重新匯入配方：缺少配方ID"
             }
         },
         "batchImport": {
@@ -943,9 +955,13 @@
     },
     "sidebar": {
         "modelRoot": "根目錄",
+        "moreOptions": "更多選項",
         "collapseAll": "全部摺疊資料夾",
         "pinSidebar": "固定側邊欄",
         "unpinSidebar": "取消固定側邊欄",
+        "hideOnThisPage": "隱藏此頁面側邊欄",
+        "showSidebar": "顯示側邊欄",
+        "sidebarHiddenNotification": "{page}頁面的資料夾側邊欄已隱藏",
         "switchToListView": "切換至列表檢視",
         "switchToTreeView": "切換到樹狀檢視",
         "recursiveOn": "包含子資料夾",
@@ -1491,11 +1507,14 @@
             "noMatchingNodes": "目前工作流程中沒有相容的節點",
             "noTargetNodeSelected": "未選擇目標節點",
             "modelUpdated": "模型已更新到工作流",
-            "modelFailed": "更新模型節點失敗"
+            "modelFailed": "更新模型節點失敗",
+            "embeddingAdded": "Embedding 已附加到工作流",
+            "embeddingFailed": "傳送 Embedding 到工作流失敗"
         },
         "nodeSelector": {
             "recipe": "配方",
             "lora": "LoRA",
+            "embedding": "Embedding",
             "replace": "取代",
             "append": "附加",
             "selectTargetNode": "選擇目標節點",
@@ -1717,6 +1736,10 @@
             "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}",
+            "reimporting": "正在從來源重新匯入配方...",
+            "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",
             "noMissingLorasInSelection": "在選取的食譜中未找到缺失的 LoRAs",
             "noLoraRootConfigured": "未配置 LoRA 根目錄。請在設定中設定預設的 LoRA 根目錄。"
         },

py/lora_manager.py

@@ -33,6 +33,7 @@ from .utils.example_images_migration import ExampleImagesMigration
 from .services.websocket_manager import ws_manager
 from .services.example_images_cleanup_service import ExampleImagesCleanupService
 from .middleware.csp_middleware import relax_csp_for_remote_media
+from .middleware.error_middleware import api_json_error
 
 logger = logging.getLogger(__name__)
 
@@ -76,6 +77,11 @@ class LoraManager:
         """Initialize and register all routes using the new refactored architecture"""
         app = PromptServer.instance.app
 
+        # Register JSON error middleware for /api/* routes as the outermost
+        # middleware so it catches errors from all other middlewares.
+        if api_json_error not in app.middlewares:
+            app.middlewares.insert(0, api_json_error)
+
         if relax_csp_for_remote_media not in app.middlewares:
             # Ensure CSP relaxer executes after ComfyUI's block_external_middleware so it can
             # see and extend the restrictive header instead of being overwritten by it.
@@ -189,6 +195,10 @@ class LoraManager:
 
             # Register DownloadManager with ServiceRegistry
             await ServiceRegistry.get_download_manager()
+
+            # Initialize DownloadQueueService for persistent queue/history
+            await ServiceRegistry.get_download_queue_service()
+
             await ServiceRegistry.get_backup_service()
 
             from .services.metadata_service import initialize_metadata_providers

py/metadata_collector/constants.py

@@ -5,9 +5,10 @@ MODELS = "models"
 PROMPTS = "prompts"
 SAMPLING = "sampling"
 LORAS = "loras"
+EMBEDDINGS = "embeddings"
 SIZE = "size"
 IMAGES = "images"
 IS_SAMPLER = "is_sampler"  # New constant to mark sampler nodes
 
 # Complete list of categories to track
-METADATA_CATEGORIES = [MODELS, PROMPTS, SAMPLING, LORAS, SIZE, IMAGES]
+METADATA_CATEGORIES = [MODELS, PROMPTS, SAMPLING, LORAS, EMBEDDINGS, SIZE, IMAGES]

py/middleware/error_middleware.py

@@ -0,0 +1,71 @@
+"""JSON error middleware for API routes.
+
+Ensures all responses to /api/* requests return valid JSON that the
+browser-extension frontend can JSON.parse() without crashing, even when
+the route does not exist (404) or the handler raises an exception (500).
+
+Extension consumers call response.json() unconditionally — an HTML error
+page causes ``SyntaxError: unexpected end of data`` that leaks into the
+popup UI as a toast notification.
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Awaitable, Callable
+
+from aiohttp import web
+
+logger = logging.getLogger(__name__)
+
+
+@web.middleware
+async def api_json_error(
+    request: web.Request,
+    handler: Callable[[web.Request], Awaitable[web.Response]],
+) -> web.Response:
+    """Return JSON ``{"success": false, "error": "..."}`` for API errors.
+
+    Only intercepts paths starting with ``/api/`` — all other routes
+    (frontend pages, static files, WebSocket upgrades) pass through
+    unchanged.
+    """
+    if not request.path.startswith("/api/"):
+        return await handler(request)
+
+    try:
+        response = await handler(request)
+        return response
+    except web.HTTPException as exc:
+        # Let redirects (301, 302, 307, 308) propagate — they are not errors.
+        if exc.status < 400:
+            raise
+
+        logger.warning(
+            "API %s %s returned HTTP %d: %s",
+            request.method,
+            request.path,
+            exc.status,
+            exc.reason,
+        )
+
+        return web.json_response(
+            {"success": False, "error": f"{exc.status}: {exc.reason}"},
+            status=exc.status,
+        )
+    except Exception as exc:
+        logger.error(
+            "API %s %s raised unhandled exception: %s",
+            request.method,
+            request.path,
+            exc,
+            exc_info=True,
+        )
+
+        return web.json_response(
+            {
+                "success": False,
+                "error": f"500: Internal Server Error ({type(exc).__name__})",
+            },
+            status=500,
+        )

py/nodes/save_image.py

@@ -11,7 +11,7 @@ from ..metadata_collector.metadata_processor import MetadataProcessor
 from ..metadata_collector import get_metadata
 from ..utils.constants import CARD_PREVIEW_WIDTH
 from ..utils.exif_utils import ExifUtils
-from ..utils.utils import calculate_recipe_fingerprint
+from ..utils.utils import calculate_recipe_fingerprint, sanitize_folder_name
 from PIL import Image, PngImagePlugin
 import piexif
 import logging
@@ -309,12 +309,14 @@ class SaveImageLM:
                 filename = filename.replace(segment, str(h))
             elif key == "pprompt" and "prompt" in metadata_dict:
                 prompt = metadata_dict.get("prompt", "").replace("\n", " ")
+                prompt = sanitize_folder_name(prompt)
                 if len(parts) >= 2:
                     length = int(parts[1])
                     prompt = prompt[:length]
                 filename = filename.replace(segment, prompt.strip())
             elif key == "nprompt" and "negative_prompt" in metadata_dict:
                 prompt = metadata_dict.get("negative_prompt", "").replace("\n", " ")
+                prompt = sanitize_folder_name(prompt)
                 if len(parts) >= 2:
                     length = int(parts[1])
                     prompt = prompt[:length]
@@ -328,6 +330,7 @@ class SaveImageLM:
                     model = "model_unavailable"
                 else:
                     model = os.path.splitext(os.path.basename(model_value))[0]
+                    model = sanitize_folder_name(model)
                 if len(parts) >= 2:
                     length = int(parts[1])
                     model = model[:length]

py/routes/handlers/misc_handlers.py

@@ -3086,6 +3086,7 @@ class NodeRegistryHandler:
             data = await request.json()
             widget_name = data.get("widget_name")
             value = data.get("value")
+            mode = data.get("mode", "replace")
             node_ids = data.get("node_ids")
 
             if not isinstance(widget_name, str) or not widget_name:
@@ -3133,6 +3134,7 @@ class NodeRegistryHandler:
                     "id": parsed_node_id,
                     "widget_name": widget_name,
                     "value": value,
+                    "mode": mode,
                 }
 
                 if graph_identifier is not None:

py/routes/handlers/model_handlers.py

@@ -37,6 +37,7 @@ from ...services.use_cases import (
 )
 from ...services.websocket_manager import WebSocketManager
 from ...services.websocket_progress_callback import WebSocketProgressCallback
+from ...services.download_queue_service import DownloadQueueService
 from ...services.errors import RateLimitError, ResourceNotFoundError
 from ...utils.civitai_utils import resolve_license_payload
 from ...utils.file_utils import calculate_sha256
@@ -1567,6 +1568,258 @@ class ModelDownloadHandler:
             )
             return web.json_response({"success": False, "error": str(exc)}, status=500)
 
+    # ------------------------------------------------------------------
+    # Download queue / history handlers
+    # ------------------------------------------------------------------
+
+    async def get_download_queue(self, request: web.Request) -> web.Response:
+        try:
+            service = await DownloadQueueService.get_instance()
+            queue = await service.get_queue()
+            stats = await service.get_stats()
+            return web.json_response({"success": True, "queue": queue, "stats": stats})
+        except Exception as exc:
+            self._logger.error(
+                "Error getting download queue: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def add_to_download_queue(self, request: web.Request) -> web.Response:
+        try:
+            import uuid
+
+            download_id = request.query.get("download_id") or str(uuid.uuid4())
+            model_id_str = request.query.get("model_id")
+            model_version_id_str = request.query.get("model_version_id")
+            model_name = request.query.get("model_name", "")
+            version_name = request.query.get("version_name", "")
+            thumbnail_url = request.query.get("thumbnail_url", "")
+            source = request.query.get("source")
+            file_params_json = request.query.get("file_params")
+
+            model_id = int(model_id_str) if model_id_str else None
+            model_version_id = int(model_version_id_str) if model_version_id_str else None
+            file_params = json.loads(file_params_json) if file_params_json else None
+
+            service = await DownloadQueueService.get_instance()
+            item = await service.add_to_queue(
+                download_id=download_id,
+                model_id=model_id,
+                model_version_id=model_version_id,
+                model_name=model_name,
+                version_name=version_name,
+                thumbnail_url=thumbnail_url,
+                source=source,
+                file_params=file_params,
+            )
+            return web.json_response({"success": True, "item": item})
+        except Exception as exc:
+            self._logger.error(
+                "Error adding to download queue: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def remove_from_download_queue(self, request: web.Request) -> web.Response:
+        try:
+            download_id = request.query.get("download_id")
+            if not download_id:
+                return web.json_response(
+                    {"success": False, "error": "download_id is required"}, status=400
+                )
+
+            service = await DownloadQueueService.get_instance()
+            removed = await service.remove_from_queue(download_id)
+            return web.json_response({"success": removed})
+        except Exception as exc:
+            self._logger.error(
+                "Error removing from download queue: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def move_queue_item_to_top(self, request: web.Request) -> web.Response:
+        try:
+            download_id = request.query.get("download_id")
+            if not download_id:
+                return web.json_response(
+                    {"success": False, "error": "download_id is required"}, status=400
+                )
+
+            service = await DownloadQueueService.get_instance()
+            moved = await service.move_to_top(download_id)
+            return web.json_response({"success": moved})
+        except Exception as exc:
+            self._logger.error(
+                "Error moving queue item to top: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def move_queue_item_to_end(self, request: web.Request) -> web.Response:
+        try:
+            download_id = request.query.get("download_id")
+            if not download_id:
+                return web.json_response(
+                    {"success": False, "error": "download_id is required"}, status=400
+                )
+
+            service = await DownloadQueueService.get_instance()
+            moved = await service.move_to_end(download_id)
+            return web.json_response({"success": moved})
+        except Exception as exc:
+            self._logger.error(
+                "Error moving queue item to end: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def clear_download_queue(self, request: web.Request) -> web.Response:
+        try:
+            status_filter = request.query.get("status") or None
+            service = await DownloadQueueService.get_instance()
+            cleared = await service.clear_queue(status_filter=status_filter)
+            return web.json_response({"success": True, "cleared": cleared})
+        except Exception as exc:
+            self._logger.error(
+                "Error clearing download queue: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def get_download_history(self, request: web.Request) -> web.Response:
+        try:
+            limit = min(int(request.query.get("limit", "50")), 500)
+            offset = int(request.query.get("offset", "0"))
+            status_filter = request.query.get("status") or None
+            service = await DownloadQueueService.get_instance()
+            result = await service.get_history(
+                limit=limit, offset=offset, status_filter=status_filter
+            )
+            return web.json_response(
+                {
+                    "success": True,
+                    "items": result["items"],
+                    "total": result["total"],
+                    "limit": result["limit"],
+                    "offset": result["offset"],
+                }
+            )
+        except Exception as exc:
+            self._logger.error(
+                "Error getting download history: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def clear_download_history(self, request: web.Request) -> web.Response:
+        try:
+            status_filter = request.query.get("status") or None
+            service = await DownloadQueueService.get_instance()
+            cleared = await service.clear_history(status_filter=status_filter)
+            return web.json_response({"success": True, "cleared": cleared})
+        except Exception as exc:
+            self._logger.error(
+                "Error clearing download history: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def delete_download_history_item(self, request: web.Request) -> web.Response:
+        try:
+            item_id = int(request.query.get("id", "0"))
+            if not item_id:
+                return web.json_response(
+                    {"success": False, "error": "id is required"}, status=400
+                )
+
+            service = await DownloadQueueService.get_instance()
+            deleted = await service.delete_history_item(item_id)
+            return web.json_response({"success": deleted})
+        except Exception as exc:
+            self._logger.error(
+                "Error deleting download history item: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def retry_download_from_history(self, request: web.Request) -> web.Response:
+        try:
+            item_id = int(request.query.get("id", "0"))
+            if not item_id:
+                return web.json_response(
+                    {"success": False, "error": "id is required"}, status=400
+                )
+
+            service = await DownloadQueueService.get_instance()
+            item = await service.retry_from_history(item_id)
+            if item is None:
+                return web.json_response(
+                    {"success": False, "error": "History item not found or not retryable"},
+                    status=404,
+                )
+            return web.json_response({"success": True, "item": item})
+        except Exception as exc:
+            self._logger.error(
+                "Error retrying download from history: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def retry_all_failed_downloads(self, request: web.Request) -> web.Response:
+        try:
+            service = await DownloadQueueService.get_instance()
+            retry_count = await service.retry_all_failed()
+            return web.json_response({"success": True, "retry_count": retry_count})
+        except Exception as exc:
+            self._logger.error(
+                "Error retrying all failed downloads: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def complete_download_in_queue(self, request: web.Request) -> web.Response:
+        """Atomically move a download from queue to history with terminal status."""
+        try:
+            download_id = request.query.get("download_id")
+            if not download_id:
+                return web.json_response(
+                    {"success": False, "error": "download_id is required"}, status=400
+                )
+            status = request.query.get("status", "completed")
+            error = request.query.get("error")
+            file_path = request.query.get("file_path")
+            try:
+                bytes_downloaded = int(request.query.get("bytes_downloaded", "0"))
+            except (TypeError, ValueError):
+                bytes_downloaded = 0
+            total_bytes_raw = request.query.get("total_bytes")
+            total_bytes = int(total_bytes_raw) if total_bytes_raw else None
+            completed_at_raw = request.query.get("completed_at")
+            completed_at = float(completed_at_raw) if completed_at_raw else None
+
+            service = await DownloadQueueService.get_instance()
+            item = await service.complete_download(
+                download_id=download_id,
+                status=status,
+                error=error,
+                file_path=file_path,
+                bytes_downloaded=bytes_downloaded,
+                total_bytes=total_bytes,
+                completed_at=completed_at,
+            )
+            if item is None:
+                return web.json_response(
+                    {"success": False, "error": "Download not found in queue"}, status=404
+                )
+            return web.json_response({"success": True, "item": item})
+        except Exception as exc:
+            self._logger.error(
+                "Error completing download: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
+    async def get_download_stats(self, request: web.Request) -> web.Response:
+        try:
+            service = await DownloadQueueService.get_instance()
+            stats = await service.get_stats()
+            return web.json_response({"success": True, "stats": stats})
+        except Exception as exc:
+            self._logger.error(
+                "Error getting download stats: %s", exc, exc_info=True
+            )
+            return web.json_response({"success": False, "error": str(exc)}, status=500)
+
 
 class ModelCivitaiHandler:
     """CivitAI integration endpoints."""
@@ -2596,6 +2849,19 @@ class ModelHandlerSet:
             "pause_download_get": self.download.pause_download_get,
             "resume_download_get": self.download.resume_download_get,
             "get_download_progress": self.download.get_download_progress,
+            "get_download_queue": self.download.get_download_queue,
+            "add_to_download_queue": self.download.add_to_download_queue,
+            "remove_from_download_queue": self.download.remove_from_download_queue,
+            "move_queue_item_to_top": self.download.move_queue_item_to_top,
+            "move_queue_item_to_end": self.download.move_queue_item_to_end,
+            "clear_download_queue": self.download.clear_download_queue,
+            "get_download_history": self.download.get_download_history,
+            "clear_download_history": self.download.clear_download_history,
+            "delete_download_history_item": self.download.delete_download_history_item,
+            "retry_download_from_history": self.download.retry_download_from_history,
+            "retry_all_failed_downloads": self.download.retry_all_failed_downloads,
+            "complete_download_in_queue": self.download.complete_download_in_queue,
+            "get_download_stats": self.download.get_download_stats,
             "get_civitai_versions": self.civitai.get_civitai_versions,
             "get_civitai_model_by_version": self.civitai.get_civitai_model_by_version,
             "get_civitai_model_by_hash": self.civitai.get_civitai_model_by_hash,

py/routes/handlers/preview_handlers.py

@@ -13,7 +13,7 @@ from ...config import config as global_config
 
 logger = logging.getLogger(__name__)
 
-_CHUNK_SIZE = 256 * 1024  # 256 KB
+_CHUNK_SIZE = 1024 * 1024  # 1 MB — balance between streaming iteration overhead and per-chunk memory
 
 # Video file extensions that bypass native sendfile on Windows
 # to avoid IOCP/ProactorEventLoop crashes during client disconnect.
@@ -55,16 +55,19 @@ class PreviewHandler:
             logger.debug("Preview file not found at %s", str(resolved))
             raise web.HTTPNotFound(text="Preview file not found")
 
-        # Video files: stream manually to avoid Windows native sendfile crash.
-        # aiohttp's FileResponse uses _sendfile_native on Windows (IOCP-based),
-        # which breaks when the client disconnects mid-transfer — this happens
-        # constantly when users scroll through a gallery of animated previews.
-        suffix = resolved.suffix.lower()
-        if suffix in _VIDEO_EXTENSIONS:
-            return await self._stream_file(request, resolved)
-
-        # aiohttp's FileResponse handles range requests and content headers for us.
-        return web.FileResponse(path=resolved, chunk_size=_CHUNK_SIZE)
+        # aiohttp's FileResponse handles range requests, content headers, and
+        # uses kernel sendfile (zero-copy DMA) on Linux/macOS. On Windows it
+        # uses IOCP-based _sendfile_native which can crash when the client
+        # disconnects mid-transfer during fast scrolling. The _stream_file()
+        # fallback is kept for a future compat toggle.
+        #
+        # Set explicit Cache-Control so the browser can cache video (and image)
+        # previews across VirtualScroller recycling cycles. Without this,
+        # Chrome does not cache 206 Partial Content responses for <video>
+        # elements, causing the same video to be re-downloaded on every scroll.
+        resp = web.FileResponse(path=resolved, chunk_size=_CHUNK_SIZE)
+        resp.headers["Cache-Control"] = "public, max-age=86400"
+        return resp
 
     async def _stream_file(
         self, request: web.Request, path: Path
@@ -83,6 +86,10 @@ class PreviewHandler:
         resp.content_type = content_type
         resp.content_length = file_size
 
+        # Allow browser caching: video previews rarely change during a session.
+        # The frontend already appends ?t={version} to bust cache on update.
+        resp.headers["Cache-Control"] = "public, max-age=86400"
+
         await resp.prepare(request)
 
         try:

py/routes/handlers/recipe_handlers.py

@@ -102,6 +102,7 @@ class RecipeHandlerSet:
             "check_image_exists": self.management.check_image_exists,
             "import_from_url": self.management.import_from_url,
             "create_from_example": self.management.create_from_example,
+            "reimport_recipe": self.management.reimport_recipe,
         }
 
 
@@ -799,6 +800,126 @@ class RecipeManagementHandler:
             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 reimport_recipe(self, request: web.Request) -> web.Response:
+        """Delete a recipe and re-import it from its source URL.
+
+        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.
+        """
+        try:
+            await self._ensure_dependencies_ready()
+            recipe_scanner = self._recipe_scanner_getter()
+            if recipe_scanner is None:
+                raise RuntimeError("Recipe scanner unavailable")
+
+            recipe_id = request.match_info["recipe_id"]
+            old_recipe = await recipe_scanner.get_recipe_by_id(recipe_id)
+            if not old_recipe:
+                raise RecipeNotFoundError(f"Recipe {recipe_id} not found")
+
+            source_path = old_recipe.get("source_path")
+            if not source_path:
+                return web.json_response(
+                    {
+                        "success": False,
+                        "error": (
+                            "Recipe has no source URL — cannot re-import. "
+                            "Use repair or manual import instead."
+                        ),
+                    },
+                    status=400,
+                )
+
+            user_edits: dict[str, Any] = {}
+            for key in ("title", "tags", "favorite", "preview_nsfw_level"):
+                if key in old_recipe and old_recipe[key] is not None:
+                    user_edits[key] = old_recipe[key]
+            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:
+                return await self._do_reimport_from_local(
+                    source_path,
+                    recipe_scanner,
+                    recipe_id=recipe_id,
+                    target_dir=old_folder,
+                    user_edits=user_edits,
+                    old_title=old_recipe.get("title", ""),
+                )
+
+            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
+            )
+
+            body_bytes = import_response.body
+            if not body_bytes:
+                raise RuntimeError("Re-import returned an empty response")
+            import_body = json.loads(body_bytes.decode())
+            new_recipe_id = import_body.get("recipe_id")
+
+            if new_recipe_id and user_edits:
+                try:
+                    await self._persistence_service.update_recipe(
+                        recipe_scanner=recipe_scanner,
+                        recipe_id=new_recipe_id,
+                        updates=user_edits,
+                    )
+                except Exception as exc:
+                    self._logger.warning(
+                        "Re-import succeeded but failed to carry over "
+                        "user edits for new recipe %s: %s",
+                        new_recipe_id,
+                        exc,
+                    )
+
+            return web.json_response(
+                {
+                    "success": True,
+                    "old_recipe_id": recipe_id,
+                    "recipe_id": new_recipe_id,
+                    "source_path": source_path,
+                }
+            )
+        except RecipeNotFoundError as exc:
+            return web.json_response({"success": False, "error": str(exc)}, status=404)
+        except RecipeValidationError as exc:
+            return web.json_response({"success": False, "error": str(exc)}, status=400)
+        except RecipeDownloadError as exc:
+            return web.json_response({"success": False, "error": str(exc)}, status=400)
+        except Exception as exc:
+            self._logger.error(
+                "Error reimporting recipe: %s", exc, exc_info=True
+            )
+            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()
@@ -907,6 +1028,7 @@ class RecipeManagementHandler:
             extension,
             civitai_meta_raw,
             model_version_id,
+            _original_image_url,
         ) = await self._download_remote_media(image_url)
 
         # Extract embedded EXIF metadata (offloaded to thread pool in this call)
@@ -1319,7 +1441,9 @@ class RecipeManagementHandler:
             "exclude": False,
         }
 
-    async def _download_remote_media(self, image_url: str) -> tuple[bytes, str, Any, Any]:
+    async def _download_remote_media(
+        self, image_url: str
+    ) -> tuple[bytes, str, Any, Any, Optional[str]]:
         civitai_client = self._civitai_client_getter()
         downloader = await self._downloader_factory()
         temp_path = None
@@ -1394,11 +1518,16 @@ class RecipeManagementHandler:
                     if mvids and isinstance(civitai_meta_raw, dict):
                         civitai_meta_raw["modelVersionIds"] = mvids
 
+                original_url = (
+                    image_info.get("url") if civitai_image_id and image_info else None
+                )
+
                 return (
                     file_obj.read(),
                     extension,
                     civitai_meta_raw,
                     model_ver_id,
+                    original_url,
                 )
         except RecipeDownloadError:
             raise
@@ -1468,15 +1597,8 @@ class RecipeManagementHandler:
 
             cache = await recipe_scanner.get_cached_data()
 
-            # Build lookup: image_id -> recipe_id from stored source_path
-            image_to_recipe = {}
-            for recipe in getattr(cache, "raw_data", []):
-                source = recipe.get("source_path")
-                if not source:
-                    continue
-                image_id = extract_civitai_image_id(source)
-                if image_id and image_id not in image_to_recipe:
-                    image_to_recipe[image_id] = recipe.get("id")
+            # Use precomputed image_id_map (built once at cache init)
+            image_to_recipe = getattr(cache, "image_id_map", {})
 
             results = {}
             for img_id in requested_ids:
@@ -1512,20 +1634,22 @@ class RecipeManagementHandler:
                     "Could not extract Civitai image ID from URL"
                 )
 
-            # Check for duplicate (fast, before acquiring semaphore), unless force
             if not force:
                 cache = await recipe_scanner.get_cached_data()
-                for recipe in getattr(cache, "raw_data", []):
-                    source = recipe.get("source_path")
-                    if source:
-                        existing_id = extract_civitai_image_id(source)
-                        if existing_id == image_id:
-                            return web.json_response({
-                                "success": True,
-                                "recipe_id": recipe.get("id"),
-                                "name": recipe.get("title", ""),
-                                "already_exists": True,
-                            })
+                image_to_recipe = getattr(cache, "image_id_map", {})
+                existing_recipe_id = image_to_recipe.get(image_id)
+                if existing_recipe_id:
+                    recipe_name = ""
+                    for recipe in getattr(cache, "raw_data", []):
+                        if str(recipe.get("id", "")) == existing_recipe_id:
+                            recipe_name = recipe.get("title", "") or ""
+                            break
+                    return web.json_response({
+                        "success": True,
+                        "recipe_id": existing_recipe_id,
+                        "name": recipe_name,
+                        "already_exists": True,
+                    })
 
             async with self._import_semaphore:
                 return await self._do_import_from_url(image_url, recipe_scanner)
@@ -1543,6 +1667,9 @@ class RecipeManagementHandler:
         self,
         image_url: str,
         recipe_scanner: Any,
+        *,
+        recipe_id: str | None = None,
+        target_dir: str | None = None,
     ) -> web.Response:
         image_id = extract_civitai_image_id(image_url)
         if not image_id:
@@ -1550,7 +1677,7 @@ class RecipeManagementHandler:
                 "Could not extract Civitai image ID from URL"
             )
 
-        image_bytes, extension, civitai_meta_raw, model_version_id = (
+        image_bytes, extension, civitai_meta_raw, model_version_id, original_image_url = (
             await self._download_remote_media(image_url)
         )
 
@@ -1588,6 +1715,51 @@ class RecipeManagementHandler:
                 "Failed to extract embedded metadata: %s", exc
             )
 
+        if not parsed_embedded and original_image_url:
+            self._logger.debug(
+                "Optimized image has no embedded metadata, "
+                "falling back to original: %s",
+                original_image_url,
+            )
+            try:
+                downloader = await self._downloader_factory()
+                with tempfile.NamedTemporaryFile(
+                    suffix=".png", delete=False
+                ) as tmp:
+                    orig_tmp_path = tmp.name
+                try:
+                    success, _ = await downloader.download_file(
+                        original_image_url, orig_tmp_path, use_auth=False
+                    )
+                    if success:
+                        raw_orig = await asyncio.to_thread(
+                            ExifUtils.extract_image_metadata, orig_tmp_path
+                        )
+                        if raw_orig:
+                            parser = (
+                                self._analysis_service._recipe_parser_factory.create_parser(
+                                    raw_orig
+                                )
+                            )
+                            if parser:
+                                parsed_embedded = await parser.parse_metadata(
+                                    raw_orig, recipe_scanner=recipe_scanner
+                                )
+                                if (
+                                    parsed_embedded
+                                    and "gen_params" in parsed_embedded
+                                ):
+                                    embedded_gen_params = parsed_embedded[
+                                        "gen_params"
+                                    ]
+                finally:
+                    if os.path.exists(orig_tmp_path):
+                        os.unlink(orig_tmp_path)
+            except Exception as exc:
+                self._logger.warning(
+                    "Failed to extract metadata from original image: %s", exc
+                )
+
         # Parse CivitAI API meta to discover all resources from modelVersionIds.
         # Run unconditionally — EXIF parsing succeeds for gen_params but misses
         # LoRAs (modelVersionIds is NOT in the image EXIF).
@@ -1671,9 +1843,104 @@ class RecipeManagementHandler:
             tags=[],
             metadata=metadata,
             extension=extension,
+            recipe_id=recipe_id,
+            target_dir=target_dir,
         )
         return web.json_response(result.payload, status=result.status)
 
+    async def _do_reimport_from_local(
+        self,
+        file_path: str,
+        recipe_scanner: Any,
+        *,
+        recipe_id: str,
+        target_dir: str | None,
+        user_edits: dict[str, Any],
+        old_title: 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.
+        """
+        normalized = os.path.normpath(file_path)
+        if not os.path.isfile(normalized):
+            raise RecipeNotFoundError(
+                f"Source file no longer accessible: {normalized}"
+            )
+
+        with open(normalized, "rb") as fh:
+            image_bytes = fh.read()
+
+        extension = os.path.splitext(normalized)[1].lower() or ".png"
+
+        analysis_result = await self._analysis_service.analyze_local_image(
+            file_path=normalized,
+            recipe_scanner=recipe_scanner,
+        )
+        analysis_payload: dict[str, Any] = analysis_result.payload
+
+        gen_params = analysis_payload.get("gen_params") or {}
+        loras = analysis_payload.get("loras") or []
+        checkpoint = analysis_payload.get("checkpoint")
+        base_model = analysis_payload.get("base_model", "")
+
+        metadata: dict[str, Any] = {
+            "base_model": base_model,
+            "loras": loras,
+            "gen_params": gen_params,
+            "source_path": normalized,
+        }
+        if checkpoint:
+            metadata["checkpoint"] = checkpoint
+
+        prompt = (
+            gen_params.get("prompt")
+            or gen_params.get("positivePrompt")
+            or ""
+        )
+        name = " ".join(str(prompt).split()[:10]) if prompt else old_title
+
+        result = await self._persistence_service.save_recipe(
+            recipe_scanner=recipe_scanner,
+            image_bytes=image_bytes,
+            image_base64=analysis_payload.get("image_base64"),
+            name=name,
+            tags=[],
+            metadata=metadata,
+            extension=extension,
+            target_dir=target_dir,
+        )
+
+        await self._persistence_service.delete_recipe(
+            recipe_scanner=recipe_scanner, recipe_id=recipe_id
+        )
+
+        new_recipe_id = result.payload.get("recipe_id")
+        if new_recipe_id and user_edits:
+            try:
+                await self._persistence_service.update_recipe(
+                    recipe_scanner=recipe_scanner,
+                    recipe_id=new_recipe_id,
+                    updates=user_edits,
+                )
+            except Exception as exc:
+                self._logger.warning(
+                    "Re-import (local) succeeded but failed to carry over "
+                    "user edits for recipe %s: %s",
+                    new_recipe_id,
+                    exc,
+                )
+
+        return web.json_response(
+            {
+                "success": True,
+                "old_recipe_id": recipe_id,
+                "recipe_id": new_recipe_id,
+                "source_path": normalized,
+            }
+        )
+
     async def create_from_example(self, request: web.Request) -> web.Response:
         """Create a recipe from a model's example image using cached metadata.
 

py/routes/model_route_registrar.py

@@ -107,6 +107,37 @@ COMMON_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition(
         "GET", "/api/lm/download-progress/{download_id}", "get_download_progress"
     ),
+    RouteDefinition("GET", "/api/lm/downloads/queue", "get_download_queue"),
+    RouteDefinition("GET", "/api/lm/downloads/queue/add", "add_to_download_queue"),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/queue/remove", "remove_from_download_queue"
+    ),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/queue/move-to-top", "move_queue_item_to_top"
+    ),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/queue/move-to-end", "move_queue_item_to_end"
+    ),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/queue/clear", "clear_download_queue"
+    ),
+    RouteDefinition("GET", "/api/lm/downloads/history", "get_download_history"),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/history/clear", "clear_download_history"
+    ),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/history/delete", "delete_download_history_item"
+    ),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/history/retry", "retry_download_from_history"
+    ),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/history/retry-all", "retry_all_failed_downloads"
+    ),
+    RouteDefinition("GET", "/api/lm/downloads/stats", "get_download_stats"),
+    RouteDefinition(
+        "GET", "/api/lm/downloads/queue/complete", "complete_download_in_queue"
+    ),
     RouteDefinition("POST", "/api/lm/{prefix}/cancel-task", "cancel_task"),
     RouteDefinition("GET", "/{prefix}", "handle_models_page"),
 )

py/routes/recipe_route_registrar.py

@@ -78,6 +78,9 @@ ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
     RouteDefinition(
         "POST", "/api/lm/recipes/create-from-example", "create_from_example"
     ),
+    RouteDefinition(
+        "POST", "/api/lm/recipe/{recipe_id}/reimport", "reimport_recipe"
+    ),
 )
 
 

py/routes/update_routes.py

@@ -1,7 +1,6 @@
 import os
 import logging
 import toml
-import git
 import zipfile
 import shutil
 import tempfile
@@ -225,7 +224,7 @@ class UpdateRoutes:
                 logger.debug("Could not close downloaded-version history database", exc_info=True)
 
             # Skip settings.json, civitai, model cache and runtime cache folders
-            UpdateRoutes._clean_plugin_folder(plugin_root, skip_files=['settings.json', 'civitai', 'model_cache', 'cache', 'wildcards', 'backups'])
+            UpdateRoutes._clean_plugin_folder(plugin_root, skip_files=['settings.json', 'civitai', 'model_cache', 'cache', 'wildcards', 'backups', 'stats'])
 
             # Extract ZIP to temp dir
             with tempfile.TemporaryDirectory() as tmp_dir:
@@ -235,7 +234,7 @@ class UpdateRoutes:
                     extracted_root = next(os.scandir(tmp_dir)).path
 
                     # Copy files, skipping user data that should be preserved
-                    skip_items = {'settings.json', 'civitai', 'wildcards', 'backups'}
+                    skip_items = {'settings.json', 'civitai', 'wildcards', 'backups', 'stats'}
                     for item in os.listdir(extracted_root):
                         if item in skip_items:
                             continue
@@ -252,7 +251,7 @@ class UpdateRoutes:
                     # for ComfyUI Manager to work properly
                     tracking_info_file = os.path.join(plugin_root, '.tracking')
                     tracking_files = []
-                    skip_tracked = {'civitai', 'wildcards', 'backups'}
+                    skip_tracked = {'civitai', 'wildcards', 'backups', 'stats'}
                     for root, dirs, files in os.walk(extracted_root):
                         # Skip user data directories and their contents
                         rel_root = os.path.relpath(root, extracted_root)
@@ -357,6 +356,15 @@ class UpdateRoutes:
         Returns:
             tuple: (success, new_version)
         """
+        try:
+            import git
+        except ImportError:
+            logger.error(
+                "GitPython is not available: the git executable was not found in PATH. "
+                "Install git or set $GIT_PYTHON_GIT_EXECUTABLE to the git binary path."
+            )
+            return False, ""
+
         try:
             # Open the Git repository
             repo = git.Repo(plugin_root)
@@ -453,6 +461,7 @@ class UpdateRoutes:
             if not os.path.exists(os.path.join(plugin_root, '.git')):
                 return git_info
 
+            import git
             repo = git.Repo(plugin_root)
             commit = repo.head.commit
             git_info['commit_hash'] = commit.hexsha

py/services/backup_service.py

@@ -141,6 +141,16 @@ class BackupService:
                     )
                 )
 
+        stats_path = os.path.join(get_settings_dir(create=True), "stats", "lora_manager_stats.json")
+        if os.path.exists(stats_path):
+            targets.append(
+                (
+                    "usage_stats",
+                    "stats/lora_manager_stats.json",
+                    stats_path,
+                )
+            )
+
         return targets
 
     @staticmethod
@@ -348,6 +358,8 @@ class BackupService:
         if kind == "model_update":
             filename = os.path.basename(archive_member)
             return str(Path(get_cache_file_path(CacheType.MODEL_UPDATE, create_dir=True)).parent / filename)
+        if kind == "usage_stats":
+            return os.path.join(get_settings_dir(create=True), "stats", "lora_manager_stats.json")
         return None
 
     async def create_auto_snapshot_if_due(self) -> Optional[dict[str, Any]]:

py/services/download_queue_service.py

@@ -0,0 +1,871 @@
+from __future__ import annotations
+
+import asyncio
+import json
+import logging
+import os
+import sqlite3
+import time
+from typing import Any, Optional
+
+from ..utils.cache_paths import get_cache_base_dir
+
+logger = logging.getLogger(__name__)
+
+
+def _resolve_database_path() -> str:
+    base_dir = get_cache_base_dir(create=True)
+    history_dir = os.path.join(base_dir, "download_history")
+    os.makedirs(history_dir, exist_ok=True)
+    return os.path.join(history_dir, "download_queue.sqlite")
+
+
+class DownloadQueueService:
+    """Persistent download queue and history manager backed by SQLite.
+
+    Provides a singleton interface for managing a download queue and
+    corresponding history table, both stored in a single SQLite database
+    under the cache directory.
+    """
+
+    _instance: Optional[DownloadQueueService] = None
+    _class_lock: asyncio.Lock = asyncio.Lock()
+
+    _SCHEMA = """
+        CREATE TABLE IF NOT EXISTS download_queue (
+            download_id TEXT PRIMARY KEY,
+            model_id INTEGER,
+            model_version_id INTEGER,
+            model_name TEXT NOT NULL DEFAULT '',
+            version_name TEXT DEFAULT '',
+            thumbnail_url TEXT DEFAULT '',
+            source TEXT,
+            file_params TEXT,
+            status TEXT NOT NULL DEFAULT 'queued',
+            priority INTEGER DEFAULT 0,
+            progress INTEGER DEFAULT 0,
+            bytes_downloaded INTEGER DEFAULT 0,
+            total_bytes INTEGER,
+            bytes_per_second REAL DEFAULT 0.0,
+            error TEXT,
+            file_path TEXT,
+            added_at REAL NOT NULL,
+            started_at REAL,
+            completed_at REAL
+        );
+        CREATE INDEX IF NOT EXISTS idx_dq_status ON download_queue(status);
+        CREATE INDEX IF NOT EXISTS idx_dq_added ON download_queue(added_at);
+
+        CREATE TABLE IF NOT EXISTS download_history (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            download_id TEXT,
+            model_id INTEGER,
+            model_version_id INTEGER,
+            model_name TEXT NOT NULL DEFAULT '',
+            version_name TEXT DEFAULT '',
+            thumbnail_url TEXT DEFAULT '',
+            status TEXT NOT NULL,
+            error TEXT,
+            file_path TEXT,
+            bytes_downloaded INTEGER DEFAULT 0,
+            total_bytes INTEGER,
+            completed_at REAL NOT NULL,
+            is_already_exists INTEGER DEFAULT 0
+        );
+        CREATE INDEX IF NOT EXISTS idx_dh_completed ON download_history(completed_at DESC);
+        CREATE INDEX IF NOT EXISTS idx_dh_status ON download_history(status);
+    """
+
+    @classmethod
+    async def get_instance(cls) -> DownloadQueueService:
+        """Return the singleton instance, creating it if necessary."""
+        async with cls._class_lock:
+            if cls._instance is None:
+                cls._instance = cls()
+                await cls._instance.deduplicate()
+            return cls._instance
+
+    def __init__(self, db_path: Optional[str] = None) -> None:
+        self._db_path = db_path or _resolve_database_path()
+        self._lock = asyncio.Lock()
+        self._conn: Optional[sqlite3.Connection] = None
+        self._schema_initialized = False
+        self._ensure_directory()
+        self._initialize_schema()
+
+    def _ensure_directory(self) -> None:
+        directory = os.path.dirname(self._db_path)
+        if directory:
+            os.makedirs(directory, exist_ok=True)
+
+    def _connect(self) -> sqlite3.Connection:
+        conn = sqlite3.connect(self._db_path, check_same_thread=False)
+        conn.row_factory = sqlite3.Row
+        return conn
+
+    def _get_conn(self) -> sqlite3.Connection:
+        if self._conn is None:
+            self._conn = sqlite3.connect(self._db_path, check_same_thread=False)
+            self._conn.row_factory = sqlite3.Row
+        return self._conn
+
+    def _initialize_schema(self) -> None:
+        if self._schema_initialized:
+            return
+        with self._connect() as conn:
+            conn.executescript(self._SCHEMA)
+            conn.commit()
+        self._schema_initialized = True
+
+    def get_database_path(self) -> str:
+        """Return the resolved database file path."""
+        return self._db_path
+
+    def close(self) -> None:
+        """Close the persistent SQLite connection, if open.
+
+        This is called before plugin update operations to release the
+        database file lock on Windows, allowing ``shutil.rmtree()`` to
+        succeed when the cache resides inside the plugin directory.
+        """
+        if self._conn is not None:
+            try:
+                self._conn.close()
+            except Exception:
+                pass
+            finally:
+                self._conn = None
+
+    # ------------------------------------------------------------------
+    # Queue methods
+    # ------------------------------------------------------------------
+
+    async def add_to_queue(
+        self,
+        download_id: str,
+        model_id: Optional[int] = None,
+        model_version_id: Optional[int] = None,
+        model_name: str = "",
+        version_name: str = "",
+        thumbnail_url: str = "",
+        source: Optional[str] = None,
+        file_params: Optional[dict[str, Any]] = None,
+    ) -> dict[str, Any]:
+        """Insert a new download into the queue.
+
+        Returns the inserted row as a dict (or an empty dict if the
+        download_id already exists).
+        """
+        now = time.time()
+        file_params_json = json.dumps(file_params) if file_params is not None else None
+
+        async with self._lock:
+            conn = self._get_conn()
+            conn.execute(
+                """
+                INSERT OR IGNORE INTO download_queue (
+                    download_id, model_id, model_version_id, model_name,
+                    version_name, thumbnail_url, source, file_params,
+                    status, priority, added_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, 'queued', 0, ?)
+                """,
+                (
+                    download_id,
+                    model_id,
+                    model_version_id,
+                    model_name,
+                    version_name,
+                    thumbnail_url,
+                    source,
+                    file_params_json,
+                    now,
+                ),
+            )
+            conn.commit()
+            row = conn.execute(
+                "SELECT * FROM download_queue WHERE download_id = ?",
+                (download_id,),
+            ).fetchone()
+
+        return dict(row) if row else {}
+
+    async def get_queue(self) -> list[dict[str, Any]]:
+        """Return all items in the queue ordered by priority then added time."""
+        async with self._lock:
+            conn = self._get_conn()
+            rows = conn.execute(
+                "SELECT * FROM download_queue ORDER BY priority DESC, added_at ASC"
+            ).fetchall()
+        return [dict(row) for row in rows]
+
+    async def get_queued_count(self) -> int:
+        """Return the number of items with status ``'queued'``."""
+        async with self._lock:
+            conn = self._get_conn()
+            row = conn.execute(
+                "SELECT COUNT(*) AS cnt FROM download_queue WHERE status = 'queued'"
+            ).fetchone()
+        return row["cnt"] if row else 0
+
+    async def update_status(
+        self,
+        download_id: str,
+        status: str,
+        **extra: Any,
+    ) -> bool:
+        """Update the status and/or extra fields of a queue item.
+
+        Accepted extra keyword arguments:
+        ``progress``, ``error``, ``file_path``, ``bytes_downloaded``,
+        ``total_bytes``, ``bytes_per_second``.
+
+        Returns ``True`` if a row was updated.
+        """
+        allowed_extra = {
+            "progress",
+            "error",
+            "file_path",
+            "bytes_downloaded",
+            "total_bytes",
+            "bytes_per_second",
+        }
+
+        set_clauses: list[str] = ["status = ?"]
+        params: list[Any] = [status]
+        now = time.time()
+
+        if status in ("downloading",):
+            set_clauses.append("started_at = COALESCE(started_at, ?)")
+            params.append(now)
+        if status in ("completed", "failed", "canceled"):
+            set_clauses.append("completed_at = ?")
+            params.append(now)
+
+        for key, value in extra.items():
+            if key in allowed_extra:
+                set_clauses.append(f"{key} = ?")
+                params.append(value)
+
+        params.append(download_id)
+
+        async with self._lock:
+            conn = self._get_conn()
+            cursor = conn.execute(
+                f"UPDATE download_queue SET {', '.join(set_clauses)} "
+                "WHERE download_id = ?",
+                params,
+            )
+            conn.commit()
+        return cursor.rowcount > 0
+
+    async def remove_from_queue(self, download_id: str) -> bool:
+        """Remove a single item from the queue by download_id.
+
+        Returns ``True`` if a row was deleted.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            cursor = conn.execute(
+                "DELETE FROM download_queue WHERE download_id = ?",
+                (download_id,),
+            )
+            conn.commit()
+        return cursor.rowcount > 0
+
+    async def move_to_top(self, download_id: str) -> bool:
+        """Move an item to the front of the queue (highest priority).
+
+        Returns ``True`` if the item was found and updated.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            row = conn.execute(
+                "SELECT priority FROM download_queue WHERE download_id = ?",
+                (download_id,),
+            ).fetchone()
+            if row is None:
+                return False
+
+            max_row = conn.execute(
+                "SELECT MAX(priority) AS mx FROM download_queue"
+            ).fetchone()
+            max_priority: int = max_row["mx"] if max_row["mx"] is not None else 0
+
+            conn.execute(
+                "UPDATE download_queue SET priority = ? WHERE download_id = ?",
+                (max_priority + 1, download_id),
+            )
+            conn.commit()
+        return True
+
+    async def move_to_end(self, download_id: str) -> bool:
+        """Move an item to the end of the queue (lowest priority).
+
+        Returns ``True`` if the item was found and updated.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            row = conn.execute(
+                "SELECT priority FROM download_queue WHERE download_id = ?",
+                (download_id,),
+            ).fetchone()
+            if row is None:
+                return False
+
+            min_row = conn.execute(
+                "SELECT MIN(priority) AS mn FROM download_queue"
+            ).fetchone()
+            min_priority: int = min_row["mn"] if min_row["mn"] is not None else 0
+
+            conn.execute(
+                "UPDATE download_queue SET priority = ? WHERE download_id = ?",
+                (min_priority - 1, download_id),
+            )
+            conn.commit()
+        return True
+
+    async def clear_queue(self, status_filter: Optional[str] = None) -> int:
+        """Remove items from the queue.
+
+        When *status_filter* is provided only items with that status are
+        deleted.  Returns the number of deleted rows.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            if status_filter is not None:
+                cursor = conn.execute(
+                    "DELETE FROM download_queue WHERE status = ?",
+                    (status_filter,),
+                )
+            else:
+                cursor = conn.execute("DELETE FROM download_queue")
+            conn.commit()
+        return cursor.rowcount
+
+    async def complete_download(
+        self,
+        download_id: str,
+        status: str = "completed",
+        error: Optional[str] = None,
+        file_path: Optional[str] = None,
+        bytes_downloaded: int = 0,
+        total_bytes: Optional[int] = None,
+        completed_at: Optional[float] = None,
+    ) -> Optional[dict[str, Any]]:
+        """Atomically move a download from the queue into the history table.
+
+        Looks up the queue record by ``download_id``, deletes it from the
+        queue, and inserts a corresponding history entry with the given
+        terminal status (``completed``, ``failed``, or ``canceled``).
+
+        When *completed_at* is provided it is used as the completion
+        timestamp; otherwise ``time.time()`` is used.
+
+        Returns the original queue record (before deletion) on success,
+        or ``None`` if the download was not found in the queue.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            row = conn.execute(
+                "SELECT * FROM download_queue WHERE download_id = ?",
+                (download_id,),
+            ).fetchone()
+            if row is None:
+                return None
+
+            now = completed_at if completed_at is not None else time.time()
+            conn.execute(
+                "DELETE FROM download_queue WHERE download_id = ?",
+                (download_id,),
+            )
+            conn.execute(
+                """
+                INSERT INTO download_history (
+                    download_id, model_id, model_version_id, model_name,
+                    version_name, thumbnail_url, status, error, file_path,
+                    bytes_downloaded, total_bytes, completed_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                """,
+                (
+                    row["download_id"],
+                    row["model_id"],
+                    row["model_version_id"],
+                    row["model_name"],
+                    row["version_name"],
+                    row["thumbnail_url"],
+                    status,
+                    error,
+                    file_path,
+                    bytes_downloaded,
+                    total_bytes,
+                    now,
+                ),
+            )
+            conn.commit()
+        return dict(row)
+
+    async def pop_next_download(self) -> Optional[dict[str, Any]]:
+        """Atomically fetch and mark the next queued item as ``downloading``.
+
+        The item with the highest priority (and earliest ``added_at``
+        among ties) whose status is ``'queued'`` is selected, set to
+        ``'downloading'``, and returned as a dict.  Returns ``None`` if
+        the queue is empty.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            row = conn.execute(
+                """
+                SELECT * FROM download_queue
+                WHERE status = 'queued'
+                ORDER BY priority DESC, added_at ASC
+                LIMIT 1
+                """
+            ).fetchone()
+            if row is None:
+                return None
+
+            download_id = row["download_id"]
+            now = time.time()
+            conn.execute(
+                "UPDATE download_queue SET status = 'downloading', "
+                "started_at = COALESCE(started_at, ?) "
+                "WHERE download_id = ?",
+                (now, download_id),
+            )
+            conn.commit()
+            updated = conn.execute(
+                "SELECT * FROM download_queue WHERE download_id = ?",
+                (download_id,),
+            ).fetchone()
+
+        return dict(updated) if updated else None
+
+    # ------------------------------------------------------------------
+    # History methods
+    # ------------------------------------------------------------------
+
+    async def add_to_history(
+        self,
+        download_id: Optional[str] = None,
+        model_id: Optional[int] = None,
+        model_version_id: Optional[int] = None,
+        model_name: str = "",
+        version_name: str = "",
+        thumbnail_url: str = "",
+        status: str = "completed",
+        error: Optional[str] = None,
+        file_path: Optional[str] = None,
+        bytes_downloaded: int = 0,
+        total_bytes: Optional[int] = None,
+        is_already_exists: int = 0,
+    ) -> int:
+        """Insert a record into the download history.
+
+        Returns the ``id`` (AUTOINCREMENT primary key) of the newly
+        inserted row.
+        """
+        now = time.time()
+
+        async with self._lock:
+            conn = self._get_conn()
+            cursor = conn.execute(
+                """
+                INSERT INTO download_history (
+                    download_id, model_id, model_version_id, model_name,
+                    version_name, thumbnail_url, status, error, file_path,
+                    bytes_downloaded, total_bytes, completed_at, is_already_exists
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                """,
+                (
+                    download_id,
+                    model_id,
+                    model_version_id,
+                    model_name,
+                    version_name,
+                    thumbnail_url,
+                    status,
+                    error,
+                    file_path,
+                    bytes_downloaded,
+                    total_bytes,
+                    now,
+                    is_already_exists,
+                ),
+            )
+            conn.commit()
+        return cursor.lastrowid or 0
+
+    async def get_history(
+        self,
+        limit: int = 50,
+        offset: int = 0,
+        status_filter: Optional[str] = None,
+    ) -> dict[str, Any]:
+        """Return a page of download history entries.
+
+        Returns a dict with keys ``items``, ``total``, ``limit``, and
+        ``offset``.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+
+            if status_filter is not None:
+                count_row = conn.execute(
+                    "SELECT COUNT(*) AS cnt FROM download_history WHERE status = ?",
+                    (status_filter,),
+                ).fetchone()
+                rows = conn.execute(
+                    "SELECT * FROM download_history WHERE status = ? "
+                    "ORDER BY completed_at DESC LIMIT ? OFFSET ?",
+                    (status_filter, limit, offset),
+                ).fetchall()
+            else:
+                count_row = conn.execute(
+                    "SELECT COUNT(*) AS cnt FROM download_history"
+                ).fetchone()
+                rows = conn.execute(
+                    "SELECT * FROM download_history "
+                    "ORDER BY completed_at DESC LIMIT ? OFFSET ?",
+                    (limit, offset),
+                ).fetchall()
+
+        return {
+            "items": [dict(row) for row in rows],
+            "total": count_row["cnt"] if count_row else 0,
+            "limit": limit,
+            "offset": offset,
+        }
+
+    async def delete_history_item(self, id: int) -> bool:
+        """Delete a single history entry by its *id*.
+
+        Returns ``True`` if a row was deleted.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            cursor = conn.execute(
+                "DELETE FROM download_history WHERE id = ?",
+                (id,),
+            )
+            conn.commit()
+        return cursor.rowcount > 0
+
+    async def clear_history(
+        self,
+        status_filter: Optional[str] = None,
+        before_timestamp: Optional[float] = None,
+    ) -> int:
+        """Remove history entries matching the optional filters.
+
+        Both ``status_filter`` and ``before_timestamp`` can be combined
+        (AND logic).  Returns the number of deleted rows.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+
+            clauses: list[str] = []
+            params: list[Any] = []
+
+            if status_filter is not None:
+                clauses.append("status = ?")
+                params.append(status_filter)
+            if before_timestamp is not None:
+                clauses.append("completed_at < ?")
+                params.append(before_timestamp)
+
+            where = ""
+            if clauses:
+                where = " WHERE " + " AND ".join(clauses)
+
+            cursor = conn.execute(
+                f"DELETE FROM download_history{where}",
+                params,
+            )
+            conn.commit()
+        return cursor.rowcount
+
+    async def get_history_count(self, status_filter: Optional[str] = None) -> int:
+        """Return the number of history entries, optionally filtered by status."""
+        async with self._lock:
+            conn = self._get_conn()
+            if status_filter is not None:
+                row = conn.execute(
+                    "SELECT COUNT(*) AS cnt FROM download_history WHERE status = ?",
+                    (status_filter,),
+                ).fetchone()
+            else:
+                row = conn.execute(
+                    "SELECT COUNT(*) AS cnt FROM download_history"
+                ).fetchone()
+        return row["cnt"] if row else 0
+
+    # ------------------------------------------------------------------
+    # Retry
+    # ------------------------------------------------------------------
+
+    async def retry_from_history(self, item_id: int) -> Optional[dict[str, Any]]:
+        """Re-queue a failed or canceled download from history.
+
+        Looks up the history record by its primary key.  If the status is
+        ``failed`` or ``canceled`` a new queue entry is created with the
+        same model metadata and a fresh download id, and the original
+        history entry is **deleted** to prevent exponential growth when
+        the retried item is later canceled or fails again and re-retried.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            row = conn.execute(
+                "SELECT * FROM download_history WHERE id = ?",
+                (item_id,),
+            ).fetchone()
+            if row is None:
+                return None
+            status = str(row["status"])
+            if status not in ("failed", "canceled"):
+                return None
+
+            import uuid
+
+            new_id = str(uuid.uuid4())
+            now = time.time()
+            conn.execute(
+                """
+                INSERT INTO download_queue (
+                    download_id, model_id, model_version_id, model_name,
+                    version_name, thumbnail_url, source, file_params,
+                    status, priority, added_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, NULL, 'queued', 0, ?)
+                """,
+                (
+                    new_id,
+                    row["model_id"],
+                    row["model_version_id"],
+                    row["model_name"],
+                    row["version_name"],
+                    row["thumbnail_url"],
+                    "retry",
+                    now,
+                ),
+            )
+            conn.execute(
+                "DELETE FROM download_history WHERE id = ?",
+                (item_id,),
+            )
+            conn.commit()
+            queued = conn.execute(
+                "SELECT * FROM download_queue WHERE download_id = ?",
+                (new_id,),
+            ).fetchone()
+
+        return dict(queued) if queued else None
+
+    async def retry_all_failed(self) -> int:
+        """Re-queue all failed and canceled downloads from history.
+
+        Each history entry is **deleted** after being re-queued so that
+        repeated retry-all calls do not cause exponential growth.
+
+        Returns the number of items that were re-queued.
+        """
+        async with self._lock:
+            conn = self._get_conn()
+            rows = conn.execute(
+                "SELECT * FROM download_history WHERE status IN ('failed', 'canceled')"
+            ).fetchall()
+            if not rows:
+                return 0
+
+            import uuid
+
+            now = time.time()
+            count = 0
+            for row in rows:
+                new_id = str(uuid.uuid4())
+                conn.execute(
+                    """
+                    INSERT INTO download_queue (
+                        download_id, model_id, model_version_id, model_name,
+                        version_name, thumbnail_url, source, file_params,
+                        status, priority, added_at
+                    ) VALUES (?, ?, ?, ?, ?, ?, ?, NULL, 'queued', 0, ?)
+                    """,
+                    (
+                        new_id,
+                        row["model_id"],
+                        row["model_version_id"],
+                        row["model_name"],
+                        row["version_name"],
+                        row["thumbnail_url"],
+                        "retry",
+                        now,
+                    ),
+                )
+                conn.execute(
+                    "DELETE FROM download_history WHERE id = ?",
+                    (row["id"],),
+                )
+                count += 1
+            conn.commit()
+
+        return count
+
+    # ------------------------------------------------------------------
+    # Stats
+    # ------------------------------------------------------------------
+
+    async def get_stats(self) -> dict[str, int]:
+        """Return aggregate counts across both tables.
+
+        Returns a dict with keys ``queued``, ``downloading``, ``paused``
+        (all from the queue table) and ``completed``, ``failed``,
+        ``canceled`` (all from the history table).
+        """
+        async with self._lock:
+            conn = self._get_conn()
+
+            queue_rows = conn.execute(
+                "SELECT status, COUNT(*) AS cnt FROM download_queue GROUP BY status"
+            ).fetchall()
+            queue_stats: dict[str, int] = {}
+            for row in queue_rows:
+                queue_stats[str(row["status"])] = row["cnt"]
+
+            history_rows = conn.execute(
+                "SELECT status, COUNT(*) AS cnt FROM download_history GROUP BY status"
+            ).fetchall()
+            history_stats: dict[str, int] = {}
+            for row in history_rows:
+                history_stats[str(row["status"])] = row["cnt"]
+
+        return {
+            "queued": queue_stats.get("queued", 0),
+            "downloading": queue_stats.get("downloading", 0),
+            "paused": queue_stats.get("paused", 0),
+            "completed": history_stats.get("completed", 0),
+            "failed": history_stats.get("failed", 0),
+            "canceled": history_stats.get("canceled", 0),
+        }
+
+    # ------------------------------------------------------------------
+    # Deduplication (one-time cleanup for bug #980)
+    # ------------------------------------------------------------------
+
+    async def deduplicate(self) -> dict[str, int]:
+        """Remove duplicate entries caused by the retry-amplification bug.
+
+        The bug (issue #980) caused the same download to appear N times in
+        both the queue and history tables when ``retry_all_failed`` was
+        called repeatedly without deleting the original history rows.
+
+        This method is called **once** when the singleton is first created.
+        It is idempotent — after the first run there will be no duplicates
+        to remove, so subsequent calls are a no-op.
+
+        Returns a dict with the count of removed rows per table.
+        """
+        result: dict[str, int] = {
+            "removed_history": 0,
+            "removed_queue": 0,
+            "removed_orphan_queue": 0,
+        }
+
+        async with self._lock:
+            conn = self._get_conn()
+
+            # 1. History: for each (model_id, model_version_id, status) triplet
+            #    keep only the row with the highest id (most recently inserted).
+            conn.execute("""
+                DELETE FROM download_history
+                WHERE id NOT IN (
+                    SELECT MAX(id)
+                    FROM download_history
+                    GROUP BY model_id, model_version_id, status
+                )
+            """)
+            result["removed_history"] = conn.execute(
+                "SELECT changes()"
+            ).fetchone()[0]
+
+            # 2. Cross-status dedup: for each (model_id, model_version_id),
+            #    keep only the entry with the highest-priority terminal status.
+            #    Priority: completed (3) > failed (2) > canceled (1).
+            #    This prevents the same model version from having both a
+            #    'failed' and a 'canceled' entry (or a 'completed' alongside
+            #    either) after the bug-created duplicates are removed.
+            conn.execute("""
+                DELETE FROM download_history
+                WHERE id NOT IN (
+                    SELECT dh.id
+                    FROM download_history dh
+                    INNER JOIN (
+                        SELECT model_id, model_version_id,
+                               MAX(CASE status
+                                   WHEN 'completed' THEN 3
+                                   WHEN 'failed' THEN 2
+                                   WHEN 'canceled' THEN 1
+                                   ELSE 0
+                               END) AS best_prio
+                        FROM download_history
+                        GROUP BY model_id, model_version_id
+                    ) best
+                    ON dh.model_id = best.model_id
+                   AND dh.model_version_id = best.model_version_id
+                   AND CASE dh.status
+                           WHEN 'completed' THEN 3
+                           WHEN 'failed' THEN 2
+                           WHEN 'canceled' THEN 1
+                           ELSE 0
+                       END = best.best_prio
+                    GROUP BY dh.model_id, dh.model_version_id
+                    HAVING dh.id = MAX(dh.id)
+                )
+            """)
+            result["removed_history"] += conn.execute(
+                "SELECT changes()"
+            ).fetchone()[0]
+
+            # 3. Queue: for each (model_id, model_version_id) keep only the
+            #    row with the latest added_at (most recently enqueued).
+            conn.execute("""
+                DELETE FROM download_queue
+                WHERE rowid NOT IN (
+                    SELECT MAX(rowid)
+                    FROM download_queue
+                    WHERE status IN ('queued', 'downloading', 'paused', 'waiting')
+                    GROUP BY model_id, model_version_id
+                )
+                AND status IN ('queued', 'downloading', 'paused', 'waiting')
+            """)
+            result["removed_queue"] = conn.execute(
+                "SELECT changes()"
+            ).fetchone()[0]
+
+            # 4. Remove orphaned queue entries — items that were re-queued
+            #    (source='retry') but whose model version already has a
+            #    terminal history entry. These are artifacts of the buggy
+            #    retry cycle that were never cleaned up.
+            conn.execute("""
+                DELETE FROM download_queue
+                WHERE source = 'retry'
+                AND (model_id, model_version_id) IN (
+                    SELECT model_id, model_version_id
+                    FROM download_history
+                    WHERE status IN ('failed', 'canceled')
+                )
+                AND status IN ('queued', 'waiting')
+            """)
+            result["removed_orphan_queue"] = conn.execute(
+                "SELECT changes()"
+            ).fetchone()[0]
+
+            conn.commit()
+
+        logger.info(
+            "Deduplicate: removed %s history rows, %s queue rows, "
+            "%s orphaned queue rows",
+            result["removed_history"],
+            result["removed_queue"],
+            result["removed_orphan_queue"],
+        )
+        return result

py/services/downloader.py

@@ -256,7 +256,9 @@ class Downloader:
                 self._session = None
 
         # Check for app-level proxy settings
-        proxy_url = None
+        proxy_url = None  # http(s) proxy, passed via the per-request `proxy=` kwarg
+        socks_proxy_url = None  # SOCKS proxy, handled via aiohttp-socks connector
+        app_proxy_active = False
         settings_manager = get_settings_manager()
         if settings_manager.get("proxy_enabled", False):
             proxy_host = settings_manager.get("proxy_host", "").strip()
@@ -268,9 +270,19 @@ class Downloader:
             if proxy_host and proxy_port:
                 # Build proxy URL
                 if proxy_username and proxy_password:
-                    proxy_url = f"{proxy_type}://{proxy_username}:{proxy_password}@{proxy_host}:{proxy_port}"
+                    full_proxy_url = f"{proxy_type}://{proxy_username}:{proxy_password}@{proxy_host}:{proxy_port}"
                 else:
-                    proxy_url = f"{proxy_type}://{proxy_host}:{proxy_port}"
+                    full_proxy_url = f"{proxy_type}://{proxy_host}:{proxy_port}"
+
+                app_proxy_active = True
+                # aiohttp cannot tunnel SOCKS via the per-request `proxy=` kwarg
+                # (it would send HTTP to the SOCKS port and fail parsing the
+                # SOCKS handshake reply). SOCKS must be handled by an
+                # aiohttp-socks ProxyConnector instead.
+                if proxy_type.startswith("socks"):
+                    socks_proxy_url = full_proxy_url
+                else:
+                    proxy_url = full_proxy_url
 
                 logger.debug(
                     f"Using app-level proxy: {proxy_type}://{proxy_host}:{proxy_port}"
@@ -294,13 +306,27 @@ class Downloader:
             logger.debug("SSL: certifi unavailable; using system default CA bundle")
 
         # Optimize TCP connection parameters
-        connector = aiohttp.TCPConnector(
+        connector_kwargs = dict(
             ssl=ssl_context,
             limit=8,  # Concurrent connections
             ttl_dns_cache=300,  # DNS cache timeout
             force_close=False,  # Keep connections for reuse
             enable_cleanup_closed=True,
         )
+        if socks_proxy_url:
+            # Route all traffic through the SOCKS proxy via aiohttp-socks. The
+            # connector tunnels every connection, so no per-request `proxy=` is
+            # used (and must not be — see self._proxy_url below).
+            try:
+                from aiohttp_socks import ProxyConnector
+            except ImportError as e:  # pragma: no cover
+                raise RuntimeError(
+                    "A SOCKS proxy is configured but the 'aiohttp-socks' package "
+                    "is not installed. Install it with: pip install aiohttp-socks"
+                ) from e
+            connector = ProxyConnector.from_url(socks_proxy_url, **connector_kwargs)
+        else:
+            connector = aiohttp.TCPConnector(**connector_kwargs)
 
         # Configure timeout parameters
         timeout = aiohttp.ClientTimeout(
@@ -311,12 +337,14 @@ class Downloader:
 
         self._session = aiohttp.ClientSession(
             connector=connector,
-            trust_env=proxy_url
-            is None,  # Only use system proxy if no app-level proxy is set
+            # Only fall back to system/env proxy when no app-level proxy is active
+            trust_env=not app_proxy_active,
             timeout=timeout,
         )
 
-        # Store proxy URL for use in requests
+        # Store proxy URL for per-request use. Stays None for SOCKS because the
+        # ProxyConnector already tunnels everything; passing proxy= for SOCKS
+        # would re-trigger the original aiohttp parse error.
         self._proxy_url = proxy_url
         self._session_created_at = datetime.now()
 

py/services/model_metadata_provider.py

@@ -81,7 +81,11 @@ class _RateLimitRetryHelper:
 
     def _calculate_delay(self, retry_after: Optional[float], attempt: int) -> float:
         if retry_after is not None:
-            return min(self._max_delay, max(0.0, retry_after))
+            # Cap at 1800s (30 min) as a safety ceiling. The old 30s cap was
+            # too low — CivArchive can return retry_after ~1500s, causing all
+            # retries to fail. A generous ceiling protects against pathological
+            # server values while still respecting the server's guidance.
+            return min(1800.0, max(0.0, retry_after))
 
         base_delay = self._base_delay * (2 ** max(0, attempt - 1))
         jitter_span = base_delay * self._jitter_ratio

py/services/persistent_recipe_cache.py

@@ -12,7 +12,7 @@ import logging
 import os
 import sqlite3
 import threading
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from typing import Dict, List, Optional, Set, Tuple
 
 from ..utils.cache_paths import CacheType, resolve_cache_path_with_migration
@@ -26,6 +26,8 @@ class PersistedRecipeData:
 
     raw_data: List[Dict]
     file_stats: Dict[str, Tuple[float, int]]  # json_path -> (mtime, size)
+    image_id_map: Dict[str, str] = field(default_factory=dict)
+    """Precomputed mapping of civitai image_id → recipe_id."""
 
 
 class PersistentRecipeCache:
@@ -116,6 +118,20 @@ class PersistentRecipeCache:
                     if not rows:
                         return None
 
+                    # Restore precomputed image_id_map if available
+                    image_id_map: Dict[str, str] = {}
+                    try:
+                        meta_row = conn.execute(
+                            "SELECT value FROM cache_metadata WHERE key = ?",
+                            ("image_id_map",),
+                        ).fetchone()
+                        if meta_row:
+                            parsed = json.loads(meta_row["value"])
+                            if isinstance(parsed, dict):
+                                image_id_map = parsed
+                    except Exception:
+                        pass  # missing or corrupt — rebuilt on next cache refresh
+
                 finally:
                     conn.close()
         except FileNotFoundError:
@@ -138,14 +154,24 @@ class PersistentRecipeCache:
                     row["file_size"] or 0,
                 )
 
-        return PersistedRecipeData(raw_data=raw_data, file_stats=file_stats)
+        return PersistedRecipeData(
+            raw_data=raw_data,
+            file_stats=file_stats,
+            image_id_map=image_id_map,
+        )
 
-    def save_cache(self, recipes: List[Dict], json_paths: Optional[Dict[str, str]] = None) -> None:
+    def save_cache(
+        self,
+        recipes: List[Dict],
+        json_paths: Optional[Dict[str, str]] = None,
+        image_id_map: Optional[Dict[str, str]] = None,
+    ) -> None:
         """Save all recipes to SQLite cache.
 
         Args:
             recipes: List of recipe dictionaries to persist.
             json_paths: Optional mapping of recipe_id -> json_path for file stats.
+            image_id_map: Optional precomputed civitai image_id → recipe_id mapping.
         """
         if not self.is_enabled():
             return
@@ -186,6 +212,12 @@ class PersistentRecipeCache:
                             recipe_rows,
                         )
 
+                    # Persist image_id_map for O(1) lookups on cache load
+                    conn.execute(
+                        "INSERT OR REPLACE INTO cache_metadata (key, value) VALUES (?, ?)",
+                        ("image_id_map", json.dumps(image_id_map or {})),
+                    )
+
                     conn.commit()
                     logger.debug("Persisted %d recipes to cache", len(recipe_rows))
                 finally:
@@ -273,6 +305,29 @@ class PersistentRecipeCache:
         except Exception as exc:
             logger.debug("Failed to remove recipe %s from cache: %s", recipe_id, exc)
 
+    def save_image_id_map(self, image_id_map: Dict[str, str]) -> None:
+        """Persist the image_id_map to cache_metadata without rewriting the full cache.
+
+        This is called after ``add_recipe`` / ``remove_recipe`` mutations so
+        the persistent copy does not go stale between full ``save_cache`` calls.
+        """
+        if not self.is_enabled() or not self._schema_initialized:
+            return
+
+        try:
+            with self._db_lock:
+                conn = self._connect()
+                try:
+                    conn.execute(
+                        "INSERT OR REPLACE INTO cache_metadata (key, value) VALUES (?, ?)",
+                        ("image_id_map", json.dumps(image_id_map)),
+                    )
+                    conn.commit()
+                finally:
+                    conn.close()
+        except Exception as exc:
+            logger.debug("Failed to persist image_id_map: %s", exc)
+
     def get_indexed_recipe_ids(self) -> Set[str]:
         """Return all recipe IDs in the cache.
 

py/services/recipe_cache.py

@@ -1,6 +1,6 @@
 import asyncio
 from typing import Iterable, List, Dict, Optional
-from dataclasses import dataclass
+from dataclasses import dataclass, field
 from operator import itemgetter
 from natsort import natsorted
 
@@ -14,6 +14,15 @@ class RecipeCache:
     sorted_by_date: List[Dict]
     folders: List[str] | None = None
     folder_tree: Dict | None = None
+    image_id_map: Dict[str, str] = field(default_factory=dict)
+    """Mapping of civitai image_id → recipe_id, precomputed at cache build time.
+
+    Built once during cache initialization (O(n)) so that
+    ``check_image_exists`` and ``import_from_url`` duplicate checks
+    can look up image_id in O(1) instead of scanning all recipes.
+    Recipes imported from local files have no valid civitai image_id
+    and are naturally excluded from this map.
+    """
 
     def __post_init__(self):
         self._lock = asyncio.Lock()

py/services/recipe_scanner.py

@@ -20,6 +20,7 @@ from .metadata_service import get_default_metadata_provider
 from .checkpoint_scanner import CheckpointScanner
 from .settings_manager import get_settings_manager
 from .recipes.errors import RecipeNotFoundError
+from ..utils.civitai_utils import extract_civitai_image_id
 from ..utils.utils import calculate_recipe_fingerprint, fuzzy_match
 from natsort import natsorted
 import sys
@@ -532,7 +533,21 @@ class RecipeScanner:
                     self._sort_cache_sync()
                     # Backfill source_path from JSON files if missing (schema migration)
                     if self._backfill_source_path_if_needed(recipes, json_paths):
-                        self._persistent_cache.save_cache(recipes, json_paths)
+                        self._cache.image_id_map = self._build_image_id_map()
+                        self._persistent_cache.save_cache(
+                            recipes, json_paths, self._cache.image_id_map
+                        )
+                    else:
+                        # Use persisted map, or rebuild if empty (e.g. first startup
+                        # after deploying the image_id_map feature).
+                        if persisted.image_id_map:
+                            self._cache.image_id_map = dict(persisted.image_id_map)
+                        else:
+                            self._cache.image_id_map = self._build_image_id_map()
+                            if self._cache.image_id_map:
+                                self._persistent_cache.save_image_id_map(
+                                    self._cache.image_id_map
+                                )
                     return self._cache
                 else:
                     # Partial update: some files changed
@@ -545,8 +560,11 @@ class RecipeScanner:
                     self._sort_cache_sync()
                     # Backfill source_path from JSON files if missing (schema migration)
                     self._backfill_source_path_if_needed(recipes, json_paths)
+                    self._cache.image_id_map = self._build_image_id_map()
                     # Persist updated cache
-                    self._persistent_cache.save_cache(recipes, json_paths)
+                    self._persistent_cache.save_cache(
+                        recipes, json_paths, self._cache.image_id_map
+                    )
                     return self._cache
 
             # Fall back to full directory scan
@@ -558,9 +576,12 @@ class RecipeScanner:
             self._cache.raw_data = recipes
             self._update_folder_metadata(self._cache)
             self._sort_cache_sync()
+            self._cache.image_id_map = self._build_image_id_map()
 
             # Persist for next startup
-            self._persistent_cache.save_cache(recipes, json_paths)
+            self._persistent_cache.save_cache(
+                recipes, json_paths, self._cache.image_id_map
+            )
 
             return self._cache
         except Exception as e:
@@ -832,6 +853,28 @@ class RecipeScanner:
         except Exception as e:
             logger.error(f"Error sorting recipe cache: {e}")
 
+    def _build_image_id_map(self) -> Dict[str, str]:
+        """Build civitai image_id → recipe_id mapping from cached recipes.
+
+        Only recipes with a valid CivitAI image URL source_path produce an
+        entry.  Recipes imported from local files are naturally excluded.
+        """
+        mapping: Dict[str, str] = {}
+        if not self._cache:
+            return mapping
+        for recipe in getattr(self._cache, "raw_data", []):
+            if not isinstance(recipe, dict):
+                continue
+            source = recipe.get("source_path")
+            if not source:
+                continue
+            image_id = extract_civitai_image_id(source)
+            if image_id and image_id not in mapping:
+                recipe_id = recipe.get("id")
+                if recipe_id is not None:
+                    mapping[image_id] = str(recipe_id)
+        return mapping
+
     async def _wait_for_lora_scanner(self) -> None:
         """Ensure the LoRA scanner has initialized before recipe enrichment."""
 
@@ -1296,11 +1339,20 @@ class RecipeScanner:
         # Update FTS index
         self._update_fts_index_for_recipe(recipe_data, "add")
 
+        source = recipe_data.get("source_path")
+        if source:
+            image_id = extract_civitai_image_id(source)
+            if image_id:
+                recipe_id_value = recipe_data.get("id")
+                if recipe_id_value is not None:
+                    cache.image_id_map[image_id] = str(recipe_id_value)
+
         # Persist to SQLite cache
         if self._persistent_cache:
             recipe_id = str(recipe_data.get("id", ""))
             json_path = self._json_path_map.get(recipe_id, "")
             self._persistent_cache.update_recipe(recipe_data, json_path)
+            self._persistent_cache.save_image_id_map(cache.image_id_map)
 
     async def remove_recipe(self, recipe_id: str) -> bool:
         """Remove a recipe from the cache by ID."""
@@ -1319,9 +1371,15 @@ class RecipeScanner:
         # Update FTS index
         self._update_fts_index_for_recipe(recipe_id, "remove")
 
+        # Remove any image_id entry pointing to this recipe
+        stale = [k for k, v in cache.image_id_map.items() if v == recipe_id]
+        for k in stale:
+            del cache.image_id_map[k]
+
         # Remove from SQLite cache
         if self._persistent_cache:
             self._persistent_cache.remove_recipe(recipe_id)
+            self._persistent_cache.save_image_id_map(cache.image_id_map)
             self._json_path_map.pop(recipe_id, None)
 
         return True
@@ -1332,14 +1390,21 @@ class RecipeScanner:
         cache = await self.get_cached_data()
         removed = await cache.bulk_remove(recipe_ids, resort=False)
         if removed:
+            removed_ids = {str(r.get("id", "")) for r in removed}
+            stale = [k for k, v in cache.image_id_map.items() if v in removed_ids]
+            for k in stale:
+                del cache.image_id_map[k]
+
             self._schedule_resort()
-            # Update FTS index and persistent cache for each removed recipe
             for recipe in removed:
                 recipe_id = str(recipe.get("id", ""))
                 self._update_fts_index_for_recipe(recipe_id, "remove")
                 if self._persistent_cache:
                     self._persistent_cache.remove_recipe(recipe_id)
                     self._json_path_map.pop(recipe_id, None)
+
+            if self._persistent_cache:
+                self._persistent_cache.save_image_id_map(cache.image_id_map)
         return len(removed)
 
     async def scan_all_recipes(self) -> List[Dict]:

py/services/recipes/analysis_service.py

@@ -176,6 +176,24 @@ class RecipeAnalysisService:
                     self._exif_utils.extract_image_metadata, temp_path
                 )
 
+            if not metadata and civitai_image_id and image_info:
+                original_url = image_info.get("url")
+                if original_url:
+                    self._logger.debug(
+                        "Optimized image lacks embedded metadata, "
+                        "falling back to original image: %s",
+                        original_url,
+                    )
+                    orig_temp_path = self._create_temp_path(suffix=".png")
+                    try:
+                        await self._download_image(original_url, orig_temp_path)
+                        metadata = await asyncio.to_thread(
+                            self._exif_utils.extract_image_metadata,
+                            orig_temp_path,
+                        )
+                    finally:
+                        self._safe_cleanup(orig_temp_path)
+
             result = await self._parse_metadata(
                 metadata or {},
                 recipe_scanner=recipe_scanner,

py/services/recipes/persistence_service.py

@@ -49,8 +49,18 @@ class RecipePersistenceService:
         tags: Iterable[str],
         metadata: Optional[dict[str, Any]],
         extension: str | None = None,
+        recipe_id: str | None = None,
+        target_dir: str | None = None,
     ) -> PersistenceResult:
-        """Persist a user uploaded recipe."""
+        """Persist a user uploaded recipe.
+
+        Args:
+            recipe_id: If provided, reuse this ID instead of generating a new
+                UUID. Used by re-import to preserve the original recipe identity.
+            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.
+        """
 
         missing_fields = []
         if not name:
@@ -63,10 +73,10 @@ class RecipePersistenceService:
             )
 
         resolved_image_bytes = self._resolve_image_bytes(image_bytes, image_base64)
-        recipes_dir = recipe_scanner.recipes_dir
+        recipes_dir = target_dir or recipe_scanner.recipes_dir
         os.makedirs(recipes_dir, exist_ok=True)
 
-        recipe_id = str(uuid.uuid4())
+        recipe_id = recipe_id or str(uuid.uuid4())
         
         # Handle video formats by bypassing optimization and metadata embedding
         is_video = extension in [".mp4", ".webm"]
@@ -119,6 +129,18 @@ class RecipePersistenceService:
         if nsfw_level is not None and isinstance(nsfw_level, int):
             recipe_data["preview_nsfw_level"] = nsfw_level
 
+        # Compute recipe folder relative to recipes root, mirroring
+        # RecipeScanner._calculate_folder() which is only called during scan/load.
+        if recipe_scanner.recipes_dir:
+            recipe_file_dir = os.path.dirname(normalized_image_path)
+            try:
+                relative_folder = os.path.relpath(recipe_file_dir, recipe_scanner.recipes_dir)
+                if relative_folder in (".", ""):
+                    relative_folder = ""
+                recipe_data["folder"] = relative_folder.replace(os.path.sep, "/")
+            except Exception:
+                recipe_data["folder"] = ""
+
         json_filename = f"{recipe_id}.recipe.json"
         json_path = os.path.join(recipes_dir, json_filename)
         json_path = os.path.normpath(json_path)

py/services/service_registry.py

@@ -188,6 +188,25 @@ class ServiceRegistry:
             logger.debug(f"Created and registered {service_name}")
             return service
 
+    @classmethod
+    async def get_download_queue_service(cls):
+        """Get or create the download queue service."""
+        service_name = "download_queue_service"
+
+        if service_name in cls._services:
+            return cls._services[service_name]
+
+        async with cls._get_lock(service_name):
+            if service_name in cls._services:
+                return cls._services[service_name]
+
+            from .download_queue_service import DownloadQueueService
+
+            service = await DownloadQueueService.get_instance()
+            cls._services[service_name] = service
+            logger.debug(f"Created and registered {service_name}")
+            return service
+
     @classmethod
     async def get_backup_service(cls):
         """Get or create the backup service."""

py/utils/usage_stats.py

@@ -1,4 +1,5 @@
 import os
+import re
 import json
 import time
 import asyncio
@@ -9,6 +10,7 @@ from typing import Dict, Set
 
 from ..config import config
 from ..services.service_registry import ServiceRegistry
+from ..utils.settings_paths import get_settings_dir
 
 # Check if running in standalone mode
 standalone_mode = os.environ.get("LORA_MANAGER_STANDALONE", "0") == "1" or os.environ.get("HF_HUB_DISABLE_TELEMETRY", "0") == "0"
@@ -16,14 +18,18 @@ standalone_mode = os.environ.get("LORA_MANAGER_STANDALONE", "0") == "1" or os.en
 # Define constants locally to avoid dependency on conditional imports
 MODELS = "models"
 LORAS = "loras"
+EMBEDDINGS = "embeddings"
+PROMPTS = "prompts"
 
 if not standalone_mode:
     from ..metadata_collector.metadata_registry import MetadataRegistry
     # Import constants from metadata_collector to ensure consistency, but we have fallbacks defined above
     try:
-        from ..metadata_collector.constants import MODELS as _MODELS, LORAS as _LORAS
+        from ..metadata_collector.constants import MODELS as _MODELS, LORAS as _LORAS, EMBEDDINGS as _EMBEDDINGS, PROMPTS as _PROMPTS
         MODELS = _MODELS
         LORAS = _LORAS
+        EMBEDDINGS = _EMBEDDINGS
+        PROMPTS = _PROMPTS
     except ImportError:
         pass  # Use the local definitions
 
@@ -65,6 +71,7 @@ class UsageStats:
         self.stats = {
             "checkpoints": {},  # sha256 -> { total: count, history: { date: count } }
             "loras": {},        # sha256 -> { total: count, history: { date: count } }
+            "embeddings": {},   # sha256 -> { total: count, history: { date: count } }
             "total_executions": 0,
             "last_save_time": 0
         }
@@ -77,6 +84,7 @@ class UsageStats:
         
         # Load existing stats if available
         self._stats_file_path = self._get_stats_file_path()
+        self._migrate_from_old_location()
         self._load_stats()
         
         # Save interval in seconds
@@ -89,14 +97,38 @@ class UsageStats:
         logger.debug("Usage statistics tracker initialized")
     
     def _get_stats_file_path(self) -> str:
-        """Get the path to the stats JSON file"""
+        """Get the path to the stats JSON file in the settings directory."""
+        settings_dir = get_settings_dir(create=True)
+        return os.path.join(settings_dir, "stats", self.STATS_FILENAME)
+
+    @staticmethod
+    def _get_old_stats_file_path() -> str:
+        """Get the legacy stats file path in the first lora root directory."""
         if not config.loras_roots or len(config.loras_roots) == 0:
-            # If no lora roots are available, we can't save stats
-            # This will be handled by the caller
-            raise RuntimeError("No LoRA root directories configured. Cannot initialize usage statistics.")
-        
-        # Use the first lora root
-        return os.path.join(config.loras_roots[0], self.STATS_FILENAME)
+            return ""
+        return os.path.join(config.loras_roots[0], UsageStats.STATS_FILENAME)
+
+    def _migrate_from_old_location(self) -> None:
+        """Migrate stats file from old location (first lora root) to new location (settings_dir/stats/)."""
+        new_path = self._stats_file_path
+        if os.path.exists(new_path):
+            return
+
+        old_path = self._get_old_stats_file_path()
+        if not old_path or not os.path.exists(old_path):
+            return
+
+        try:
+            os.makedirs(os.path.dirname(new_path), exist_ok=True)
+            shutil.copy2(old_path, new_path)
+            logger.info("Migrated usage stats from %s to %s", old_path, new_path)
+            try:
+                os.remove(old_path)
+                logger.info("Cleaned up old stats file: %s", old_path)
+            except Exception as e:
+                logger.warning("Failed to remove old stats file %s: %s", old_path, e)
+        except Exception as e:
+            logger.error("Failed to migrate usage stats from %s to %s: %s", old_path, new_path, e)
     
     def _backup_old_stats(self):
         """Backup the old stats file before conversion"""
@@ -115,6 +147,7 @@ class UsageStats:
         new_stats = {
             "checkpoints": {},
             "loras": {},
+            "embeddings": {},
             "total_executions": old_stats.get("total_executions", 0),
             "last_save_time": old_stats.get("last_save_time", time.time())
         }
@@ -142,21 +175,27 @@ class UsageStats:
                     }
                 }
         
+        # Convert embedding stats (if present in old format)
+        if "embeddings" in old_stats and isinstance(old_stats["embeddings"], dict):
+            for hash_id, count in old_stats["embeddings"].items():
+                new_stats["embeddings"][hash_id] = {
+                    "total": count,
+                    "history": {
+                        today: count
+                    }
+                }
+        
         logger.info("Successfully converted stats from old format to new format with history")
         return new_stats
     
     def _is_old_format(self, stats):
         """Check if the stats are in the old format (direct count values)"""
         # Check if any lora or checkpoint entry is a direct number instead of an object
-        if "loras" in stats and isinstance(stats["loras"], dict):
-            for hash_id, data in stats["loras"].items():
-                if isinstance(data, (int, float)):
-                    return True
-                
-        if "checkpoints" in stats and isinstance(stats["checkpoints"], dict):
-            for hash_id, data in stats["checkpoints"].items():
-                if isinstance(data, (int, float)):
-                    return True
+        for category in ("loras", "checkpoints", "embeddings"):
+            if category in stats and isinstance(stats[category], dict):
+                for hash_id, data in stats[category].items():
+                    if isinstance(data, (int, float)):
+                        return True
         
         return False
     
@@ -182,6 +221,9 @@ class UsageStats:
                         if "loras" in loaded_stats and isinstance(loaded_stats["loras"], dict):
                             self.stats["loras"] = loaded_stats["loras"]
                         
+                        if "embeddings" in loaded_stats and isinstance(loaded_stats["embeddings"], dict):
+                            self.stats["embeddings"] = loaded_stats["embeddings"]
+                        
                         if "total_executions" in loaded_stats:
                             self.stats["total_executions"] = loaded_stats["total_executions"]
                         
@@ -304,6 +346,10 @@ class UsageStats:
         if LORAS in metadata and isinstance(metadata[LORAS], dict):
             await self._process_loras(metadata[LORAS], today)
 
+        # Process embeddings — parse prompt text for embedding:name references
+        if PROMPTS in metadata and isinstance(metadata[PROMPTS], dict):
+            await self._process_embeddings(metadata[PROMPTS], today)
+
     def _increment_usage_counter(self, category: str, stat_key: str, today_date: str) -> None:
         """Increment usage counters for a resolved stats key."""
         if stat_key not in self.stats[category]:
@@ -510,6 +556,55 @@ class UsageStats:
         except Exception as e:
             logger.error(f"Error processing LoRA usage: {e}", exc_info=True)
     
+    @staticmethod
+    def _extract_embedding_names(prompt_text: str) -> set:
+        """Parse embedding:name references from prompt text.
+
+        ComfyUI's SDTokenizer resolves ``embedding:<name>`` during tokenization
+        (see ``sd1_clip.py _try_get_embedding``).  This mirrors the same pattern
+        to extract embedding file names from the captured prompt strings.
+        """
+        if not prompt_text:
+            return set()
+        # Matches ``embedding:name`` where name is alphanumeric plus _ . - /
+        names = re.findall(r"embedding:([a-zA-Z0-9_.\-/]+)", prompt_text)
+        return set(names)
+
+    async def _process_embeddings(self, prompts_data, today_date):
+        """Extract embedding usage from prompt texts and record it.
+
+        Iterates every prompt node's text field captured by the metadata
+        collector, extracts ``embedding:<name>`` references, resolves each
+        name to its SHA256 hash via the embedding scanner, and increments
+        usage counters.
+        """
+        try:
+            embedding_scanner = await ServiceRegistry.get_embedding_scanner()
+            if not embedding_scanner:
+                logger.warning("Embedding scanner not available for usage tracking")
+                return
+
+            seen_names = set()
+            for _node_id, prompt_data in prompts_data.items():
+                if not isinstance(prompt_data, dict):
+                    continue
+                for text_field in ("text", "positive_text", "negative_text"):
+                    text = prompt_data.get(text_field)
+                    if isinstance(text, str):
+                        seen_names.update(self._extract_embedding_names(text))
+
+            for emb_name in seen_names:
+                emb_hash = embedding_scanner.get_hash_by_filename(emb_name)
+                if emb_hash:
+                    self._increment_usage_counter("embeddings", emb_hash, today_date)
+                else:
+                    logger.debug(
+                        "No hash found for embedding '%s', skipping usage tracking",
+                        emb_name,
+                    )
+        except Exception as e:
+            logger.error("Error processing embedding usage: %s", e, exc_info=True)
+
     async def get_stats(self):
         """Get current usage statistics"""
         return self.stats
@@ -522,6 +617,9 @@ class UsageStats:
         elif model_type == "lora":
             if sha256 in self.stats["loras"]:
                 return self.stats["loras"][sha256]["total"]
+        elif model_type == "embedding":
+            if sha256 in self.stats["embeddings"]:
+                return self.stats["embeddings"][sha256]["total"]
         return 0
     
     async def process_execution(self, prompt_id):

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "1.0.11"
+version = "1.1.1"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",

requirements.txt

@@ -1,4 +1,5 @@
 aiohttp
+aiohttp-socks
 jinja2
 safetensors
 piexif

standalone.py

@@ -2,6 +2,7 @@ import os
 import sys
 import json
 from py.middleware.cache_middleware import cache_control
+from py.middleware.error_middleware import api_json_error
 from py.utils.settings_paths import ensure_settings_file
 
 # Set environment variable to indicate standalone mode
@@ -157,7 +158,7 @@ class StandaloneServer:
     def __init__(self):
         self.app = web.Application(
             logger=logger,
-            middlewares=[cache_control],
+            middlewares=[api_json_error, cache_control],
             client_max_size=256 * 1024 * 1024,
             handler_args={
                 "max_field_size": HEADER_SIZE_LIMIT,

static/css/components/card.css

@@ -278,7 +278,7 @@
     left: 0;
     right: 0;
     background: linear-gradient(transparent 15%, oklch(0% 0 0 / 0.75));
-    backdrop-filter: blur(8px);
+    backdrop-filter: blur(var(--card-blur-amount, 8px));
     color: white;
     padding: var(--space-1);
     display: flex;
@@ -294,7 +294,7 @@
     left: 0;
     right: 0;
     background: linear-gradient(oklch(0% 0 0 / 0.75), transparent 85%);
-    backdrop-filter: blur(8px);
+    backdrop-filter: blur(var(--card-blur-amount, 8px));
     color: white;
     padding: var(--space-1);
     display: flex;

static/css/components/menu.css

@@ -34,6 +34,12 @@
     margin: 4px 0;
 }
 
+/* Lighter separator between category groups (vs the full separator before destructive) */
+.context-menu-separator.menu-section-break {
+    opacity: 0.4;
+    margin: 3px 0;
+}
+
 .context-menu-item.delete-item {
     color: var(--danger-color);
 }

static/css/components/modal/settings-modal.css

@@ -813,6 +813,67 @@
     outline: none;
 }
 
+/* Range Slider Control */
+.range-control {
+    width: 100%;
+    display: flex;
+    align-items: center;
+    gap: 10px;
+    justify-content: flex-end;
+}
+
+.range-control input[type="range"] {
+    width: 120px;
+    height: 4px;
+    -webkit-appearance: none;
+    appearance: none;
+    background: var(--border-color);
+    border-radius: 2px;
+    outline: none;
+    cursor: pointer;
+    flex-shrink: 0;
+}
+
+.range-control input[type="range"]::-webkit-slider-thumb {
+    -webkit-appearance: none;
+    appearance: none;
+    width: 16px;
+    height: 16px;
+    border-radius: 50%;
+    background: var(--lora-accent);
+    cursor: pointer;
+    border: 2px solid var(--lora-surface);
+    box-shadow: 0 1px 3px rgba(0, 0, 0, 0.3);
+    transition: transform 0.15s ease;
+}
+
+.range-control input[type="range"]::-webkit-slider-thumb:hover {
+    transform: scale(1.15);
+}
+
+.range-control input[type="range"]::-moz-range-thumb {
+    width: 16px;
+    height: 16px;
+    border-radius: 50%;
+    background: var(--lora-accent);
+    cursor: pointer;
+    border: 2px solid var(--lora-surface);
+    box-shadow: 0 1px 3px rgba(0, 0, 0, 0.3);
+}
+
+.range-control .range-value {
+    min-width: 36px;
+    text-align: center;
+    font-size: 0.9em;
+    font-weight: 600;
+    color: var(--text-color);
+    font-variant-numeric: tabular-nums;
+}
+
+[data-theme="dark"] .range-control input[type="range"] {
+    background: rgba(255, 255, 255, 0.15);
+}
+
 /* Toggle Switch */
 .toggle-switch {
     position: relative;

static/css/components/sidebar.css

@@ -84,6 +84,7 @@
     border-bottom: 1px solid var(--border-color);
     cursor: pointer;
     transition: var(--transition-base);
+    position: relative;
 }
 
 .sidebar-header:hover {
@@ -150,6 +151,120 @@
     display: none;
 }
 
+/* ===== Sidebar More Options Dropdown ===== */
+.sidebar-more-dropdown {
+    position: absolute;
+    top: 100%;
+    right: 8px;
+    min-width: 190px;
+    background: var(--bg-color);
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-xs);
+    box-shadow: var(--shadow-lg);
+    z-index: calc(var(--z-overlay) + 20);
+    display: none;
+    overflow: hidden;
+    margin-top: 2px;
+}
+
+.sidebar-more-dropdown.open {
+    display: block;
+    animation: dropdownFadeIn 0.15s ease;
+}
+
+@keyframes dropdownFadeIn {
+    from { opacity: 0; transform: translateY(-4px); }
+    to   { opacity: 1; transform: translateY(0); }
+}
+
+.sidebar-dropdown-item {
+    display: flex;
+    align-items: center;
+    gap: 10px;
+    padding: 8px 12px;
+    cursor: pointer;
+    font-size: 0.85em;
+    color: var(--text-color);
+    transition: var(--transition-base);
+    white-space: nowrap;
+}
+
+.sidebar-dropdown-item:hover {
+    background: var(--lora-surface);
+}
+
+.sidebar-dropdown-item i {
+    width: 16px;
+    text-align: center;
+    color: var(--text-muted);
+    font-size: 0.9em;
+    flex-shrink: 0;
+}
+
+.sidebar-dropdown-item:hover i {
+    color: var(--text-color);
+}
+
+.sidebar-dropdown-item.disabled {
+    opacity: 0.4;
+    pointer-events: none;
+}
+
+/* ===== Sidebar Hidden Indicator (left edge) ===== */
+.sidebar-hidden-indicator {
+    position: fixed;
+    left: 0;
+    top: 50%;
+    transform: translateY(-50%);
+    z-index: var(--z-overlay);
+    width: 14px;
+    height: 44px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    background: var(--border-color);
+    opacity: 0.3;
+    border-radius: 0 4px 4px 0;
+    cursor: pointer;
+    transition: opacity 0.15s ease, background 0.15s ease;
+}
+
+.sidebar-hidden-indicator:hover {
+    opacity: 0.7;
+    background: var(--lora-accent);
+}
+
+.sidebar-hidden-indicator i {
+    font-size: 9px;
+    color: var(--text-muted);
+    transition: color 0.15s ease;
+}
+
+.sidebar-hidden-indicator:hover i {
+    color: white;
+}
+
+.sidebar-hidden-indicator-tooltip {
+    position: absolute;
+    left: 100%;
+    top: 50%;
+    transform: translateY(-50%);
+    margin-left: 8px;
+    padding: 4px 10px;
+    background: var(--text-color);
+    color: var(--bg-color);
+    font-size: 0.8em;
+    border-radius: 4px;
+    white-space: nowrap;
+    pointer-events: none;
+    opacity: 0;
+    transition: opacity 0.15s ease;
+}
+
+.sidebar-hidden-indicator:hover .sidebar-hidden-indicator-tooltip {
+    opacity: 1;
+}
+
 .sidebar-content {
     flex: 1;
     overflow: hidden;

static/js/api/recipeApi.js

@@ -213,6 +213,8 @@ export async function resetAndReloadWithVirtualScroll(options = {}) {
 
         if (scrollSnapshot) {
             await restoreScrollPosition(scrollSnapshot);
+        } else if (state.virtualScroller?.scrollContainer) {
+            state.virtualScroller.scrollContainer.scrollTop = 0;
         }
 
         return result;

static/js/components/ContextMenu/BulkContextMenu.js

@@ -42,26 +42,42 @@ export class BulkContextMenu extends BaseContextMenu {
         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"]');
 
         if (repairMetadataItem) {
             repairMetadataItem.style.display = config.repairMetadata ? 'flex' : 'none';
         }
+        if (reimportMetadataItem) {
+            reimportMetadataItem.style.display = config.reimportMetadata ? 'flex' : 'none';
+        }
 
+        const isEmbeddings = currentModelType === 'embeddings';
         if (sendToWorkflowAppendItem) {
             sendToWorkflowAppendItem.style.display = config.sendToWorkflow ? 'flex' : 'none';
         }
         if (sendToWorkflowReplaceItem) {
-            sendToWorkflowReplaceItem.style.display = config.sendToWorkflow ? 'flex' : 'none';
+            sendToWorkflowReplaceItem.style.display = (config.sendToWorkflow && !isEmbeddings) ? 'flex' : 'none';
         }
         if (copyAllItem) {
             copyAllItem.style.display = config.copyAll ? 'flex' : 'none';
         }
 
-        // Submenu parent visibility
+        // Submenu parent - for embeddings, collapse into a direct item (no replace choice)
         const sendToWorkflowSubmenu = this.menu.querySelector('[data-has-submenu="send-to-workflow"]');
         if (sendToWorkflowSubmenu) {
             const hasWorkflowActions = config.sendToWorkflow || config.copyAll;
-            sendToWorkflowSubmenu.style.display = hasWorkflowActions ? 'flex' : 'none';
+            if (isEmbeddings && config.sendToWorkflow && !config.copyAll) {
+                sendToWorkflowSubmenu.classList.remove('has-submenu');
+                sendToWorkflowSubmenu.removeAttribute('data-has-submenu');
+                sendToWorkflowSubmenu.dataset.action = 'send-to-workflow-append';
+                const arrow = sendToWorkflowSubmenu.querySelector('.submenu-arrow');
+                if (arrow) arrow.style.display = 'none';
+                const submenu = sendToWorkflowSubmenu.querySelector('.context-submenu');
+                if (submenu) submenu.style.display = 'none';
+                sendToWorkflowSubmenu.style.display = 'flex';
+            } else {
+                sendToWorkflowSubmenu.style.display = hasWorkflowActions ? 'flex' : 'none';
+            }
         }
 
         if (refreshAllItem) {
@@ -264,6 +280,9 @@ export class BulkContextMenu extends BaseContextMenu {
             case 'repair-metadata':
                 bulkManager.repairSelectedRecipes();
                 break;
+            case 'reimport-metadata':
+                bulkManager.reimportSelectedRecipes();
+                break;
             case 'set-favorite': {
                 const allFavorited = this.countFavoritedInSelection() === state.selectedModels.size;
                 bulkManager.setBulkFavorites(!allFavorited);

static/js/components/ContextMenu/EmbeddingContextMenu.js

@@ -3,6 +3,7 @@ import { ModelContextMenuMixin } from './ModelContextMenuMixin.js';
 import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
 import { moveManager } from '../../managers/MoveManager.js';
 import { showDeleteModal, showExcludeModal } from '../../utils/modalUtils.js';
+import { sendEmbeddingToWorkflow } from '../../utils/uiHelpers.js';
 
 export class EmbeddingContextMenu extends BaseContextMenu {
     constructor() {
@@ -51,6 +52,13 @@ export class EmbeddingContextMenu extends BaseContextMenu {
                     this.currentCard.querySelector('.fa-copy').click();
                 }
                 break;
+            case 'sendtoworkflow': {
+                const folder = this.currentCard.dataset.folder || '';
+                const name = this.currentCard.dataset.file_name || '';
+                const embeddingCode = folder ? `embedding:${folder}/${name}` : `embedding:${name}`;
+                sendEmbeddingToWorkflow(embeddingCode);
+                break;
+            }
             case 'refresh-metadata':
                 // Refresh metadata from CivitAI
                 apiClient.refreshSingleModelMetadata(this.currentCard.dataset.filepath);

static/js/components/ContextMenu/RecipeContextMenu.js

@@ -97,6 +97,9 @@ export class RecipeContextMenu extends BaseContextMenu {
                 // Repair recipe metadata
                 this.repairRecipe(recipeId);
                 break;
+            case 'reimport':
+                this.reimportRecipe(recipeId);
+                break;
         }
     }
 
@@ -325,6 +328,35 @@ export class RecipeContextMenu extends BaseContextMenu {
             showToast('recipes.contextMenu.repair.failed', { message: error.message }, 'error');
         }
     }
+
+    async reimportRecipe(recipeId) {
+        if (!recipeId) {
+            showToast('recipes.contextMenu.reimport.missingId', {}, 'error');
+            return;
+        }
+
+        state.loadingManager.showSimpleLoading('Re-importing recipe from source...');
+
+        try {
+            const response = await fetch(`/api/lm/recipe/${recipeId}/reimport`, {
+                method: 'POST'
+            });
+            const result = await response.json();
+
+            if (result.success) {
+                state.loadingManager.hide();
+                showToast('toast.recipes.reimportSuccess', {}, 'success');
+                const { resetAndReload } = await import('../../api/recipeApi.js');
+                resetAndReload(false, { preserveScroll: false });
+            } else {
+                throw new Error(result.error || 'Re-import failed');
+            }
+        } catch (error) {
+            console.error('Error reimporting recipe:', error);
+            state.loadingManager.hide();
+            showToast('recipes.contextMenu.reimport.failed', { message: error.message }, 'error');
+        }
+    }
 }
 
 // Mix in shared methods from ModelContextMenuMixin

static/js/components/SidebarManager.js

@@ -36,6 +36,8 @@ export class SidebarManager {
         this.currentDropTarget = null;
         this.lastPageControls = null;
         this.isDisabledBySetting = false;
+        this.isDisabledByPage = false;
+        this.isMoreDropdownOpen = false;
         this.initializationPromise = null;
         this.isCreatingFolder = false;
         this._pendingDragState = null; // 用于保存拖拽创建文件夹时的状态
@@ -68,6 +70,10 @@ export class SidebarManager {
         this.handleSidebarDrop = this.handleSidebarDrop.bind(this);
         this.handleCreateFolderSubmit = this.handleCreateFolderSubmit.bind(this);
         this.handleCreateFolderCancel = this.handleCreateFolderCancel.bind(this);
+        this.handleMoreToggle = this.handleMoreToggle.bind(this);
+        this.handleMoreDropdownItemClick = this.handleMoreDropdownItemClick.bind(this);
+        this.handleDocumentClickForMore = this.handleDocumentClickForMore.bind(this);
+        this.getPageDisplayName = this.getPageDisplayName.bind(this);
     }
 
     setHostPageControls(pageControls) {
@@ -100,6 +106,8 @@ export class SidebarManager {
         this.initializeDragAndDrop();
         this.updateSidebarTitle();
         this.restoreSidebarState();
+        // Re-apply DOM visibility now that per-page state is known
+        this.updateDomVisibility(!this.isDisabledBySetting);
         await this.loadFolderTree();
         if (this.isDisabledBySetting && !forceInitialize) {
             this.cleanup();
@@ -143,6 +151,13 @@ export class SidebarManager {
             this.sidebarDragHandlersInitialized = false;
         }
 
+        const moreDropdown = document.getElementById('sidebarMoreDropdown');
+        if (moreDropdown) {
+            moreDropdown.classList.remove('open');
+        }
+        this.isMoreDropdownOpen = false;
+        this.hideSidebarHiddenIndicator();
+
         // Reset state
         this.pageControls = null;
         this.pageType = null;
@@ -151,6 +166,7 @@ export class SidebarManager {
         this.expandedNodes = new Set();
         this.openDropdown = null;
         this.isHovering = false;
+        this.isDisabledByPage = false;
         this.apiClient = null;
         this.isInitialized = false;
         this.recursiveSearchEnabled = true;
@@ -217,6 +233,18 @@ export class SidebarManager {
         if (recursiveToggleBtn) {
             recursiveToggleBtn.removeEventListener('click', this.handleRecursiveToggle);
         }
+
+        const moreToggle = document.getElementById('sidebarMoreToggle');
+        if (moreToggle) {
+            moreToggle.removeEventListener('click', this.handleMoreToggle);
+        }
+
+        const moreDropdown = document.getElementById('sidebarMoreDropdown');
+        if (moreDropdown) {
+            moreDropdown.removeEventListener('click', this.handleMoreDropdownItemClick);
+        }
+
+        document.removeEventListener('click', this.handleDocumentClickForMore);
     }
 
     initializeDragAndDrop() {
@@ -1045,6 +1073,19 @@ export class SidebarManager {
                 }
             });
         }
+
+        // More options dropdown
+        const moreToggle = document.getElementById('sidebarMoreToggle');
+        if (moreToggle) {
+            moreToggle.addEventListener('click', this.handleMoreToggle);
+        }
+
+        const moreDropdown = document.getElementById('sidebarMoreDropdown');
+        if (moreDropdown) {
+            moreDropdown.addEventListener('click', this.handleMoreDropdownItemClick);
+        }
+
+        document.addEventListener('click', this.handleDocumentClickForMore);
     }
 
     handleDocumentClick(event) {
@@ -1066,6 +1107,7 @@ export class SidebarManager {
         this.isPinned = !this.isPinned;
         this.updateAutoHideState();
         this.updatePinButton();
+        this.updateMoreDropdownLabels();
         this.saveSidebarState();
         this.updateContainerMargin();
     }
@@ -1129,7 +1171,7 @@ export class SidebarManager {
     }
 
     updateAutoHideState() {
-        if (this.isDisabledBySetting) return;
+        if (this.isDisabledBySetting || this.isDisabledByPage) return;
 
         const sidebar = document.getElementById('folderSidebar');
         const hoverArea = document.getElementById('sidebarHoverArea');
@@ -1174,9 +1216,12 @@ export class SidebarManager {
 
         if (!container || !sidebar || this.isDisabledBySetting) return;
 
-        // Reset margin to default
+        // Always reset margin first — needed when transitioning from visible to hidden
         container.style.marginLeft = '';
 
+        // When per-page disabled, skip adjustment but margin is already reset
+        if (this.isDisabledByPage) return;
+
         // Only adjust margin if sidebar is visible and pinned
         if ((this.isPinned || this.isHovering) && this.isVisible) {
             const sidebarWidth = sidebar.offsetWidth;
@@ -1193,20 +1238,29 @@ export class SidebarManager {
     }
 
     updateDomVisibility(enabled) {
+        // Per-page disable adds on top of global setting
+        const isVisible = enabled && !this.isDisabledByPage;
         const sidebar = document.getElementById('folderSidebar');
         const hoverArea = document.getElementById('sidebarHoverArea');
 
         if (sidebar) {
-            sidebar.classList.toggle('hidden-by-setting', !enabled);
-            sidebar.setAttribute('aria-hidden', (!enabled).toString());
+            sidebar.classList.toggle('hidden-by-setting', !isVisible);
+            sidebar.setAttribute('aria-hidden', (!isVisible).toString());
         }
 
         if (hoverArea) {
-            hoverArea.classList.toggle('hidden-by-setting', !enabled);
-            if (!enabled) {
+            hoverArea.classList.toggle('hidden-by-setting', !isVisible);
+            if (!isVisible) {
                 hoverArea.classList.add('disabled');
             }
         }
+
+        // Show or hide the "sidebar hidden" notification
+        if (enabled && this.isDisabledByPage) {
+            this.showSidebarHiddenIndicator();
+        } else {
+            this.hideSidebarHiddenIndicator();
+        }
     }
 
     async setSidebarEnabled(enabled) {
@@ -1266,6 +1320,133 @@ export class SidebarManager {
         }
     }
 
+    // ===== More Options Dropdown =====
+
+    handleMoreToggle(event) {
+        event.stopPropagation();
+        const dropdown = document.getElementById('sidebarMoreDropdown');
+        if (!dropdown) return;
+
+        this.isMoreDropdownOpen = !dropdown.classList.contains('open');
+        dropdown.classList.toggle('open', this.isMoreDropdownOpen);
+        this.updateMoreDropdownLabels();
+    }
+
+    handleMoreDropdownItemClick(event) {
+        const item = event.target.closest('.sidebar-dropdown-item');
+        if (!item) return;
+
+        const action = item.dataset.action;
+        if (!action) return;
+
+        const dropdown = document.getElementById('sidebarMoreDropdown');
+        if (dropdown) {
+            dropdown.classList.remove('open');
+            this.isMoreDropdownOpen = false;
+        }
+
+        switch (action) {
+            case 'toggle-pin':
+                this.handlePinToggle(event);
+                break;
+            case 'toggle-hide':
+                this.toggleHideOnThisPage();
+                break;
+        }
+    }
+
+    handleDocumentClickForMore(event) {
+        const dropdown = document.getElementById('sidebarMoreDropdown');
+        const toggle = document.getElementById('sidebarMoreToggle');
+        if (!dropdown || !toggle) return;
+
+        if (!dropdown.contains(event.target) && !toggle.contains(event.target)) {
+            dropdown.classList.remove('open');
+            this.isMoreDropdownOpen = false;
+        }
+    }
+
+    updateMoreDropdownLabels() {
+        const pinLabel = document.getElementById('sidebarMorePinLabel');
+        if (pinLabel) {
+            pinLabel.textContent = this.isPinned
+                ? translate('sidebar.unpinSidebar')
+                : translate('sidebar.pinSidebar');
+        }
+
+        const hideItem = document.querySelector('.sidebar-dropdown-item[data-action="toggle-hide"]');
+        if (hideItem) {
+            const hideIcon = hideItem.querySelector('i');
+            const hideLabel = hideItem.querySelector('span');
+            if (this.isDisabledByPage) {
+                hideLabel.textContent = translate('sidebar.showSidebar');
+                if (hideIcon) {
+                    hideIcon.className = 'fas fa-eye';
+                }
+            } else {
+                hideLabel.textContent = translate('sidebar.hideOnThisPage');
+                if (hideIcon) {
+                    hideIcon.className = 'fas fa-eye-slash';
+                }
+            }
+        }
+    }
+
+    toggleHideOnThisPage() {
+        this.isDisabledByPage = !this.isDisabledByPage;
+        setStorageItem(`${this.pageType}_sidebarDisabled`, this.isDisabledByPage);
+        this.updateDomVisibility(!this.isDisabledBySetting);
+        this.updateAutoHideState();
+        this.updateContainerMargin();
+        this.updateMoreDropdownLabels();
+
+        if (!this.isDisabledByPage) {
+            this.hideSidebarHiddenIndicator();
+        } else {
+            showToast(
+                'sidebar.sidebarHiddenNotification',
+                { page: this.getPageDisplayName() },
+                'info',
+                `Sidebar hidden on ${this.getPageDisplayName()} page`
+            );
+        }
+    }
+
+    getPageDisplayName() {
+        const names = {
+            loras: 'LoRAs',
+            recipes: 'Recipes',
+            checkpoints: 'Checkpoints',
+            embeddings: 'Embeddings',
+        };
+        return names[this.pageType] || this.pageType;
+    }
+
+    showSidebarHiddenIndicator() {
+        if (document.getElementById('sidebarHiddenIndicator')) return;
+
+        const indicator = document.createElement('div');
+        indicator.id = 'sidebarHiddenIndicator';
+        indicator.className = 'sidebar-hidden-indicator';
+        indicator.innerHTML = `
+            <i class="fas fa-chevron-right"></i>
+            <span class="sidebar-hidden-indicator-tooltip">${translate('sidebar.showSidebar')}</span>
+        `;
+
+        indicator.addEventListener('click', () => {
+            this.toggleHideOnThisPage();
+        });
+
+        document.body.appendChild(indicator);
+    }
+
+    hideSidebarHiddenIndicator() {
+        const indicator = document.getElementById('sidebarHiddenIndicator');
+        if (indicator) {
+            indicator.remove();
+        }
+    }
+
     async loadFolderTree() {
         try {
             if (this.displayMode === 'tree') {
@@ -1911,6 +2092,7 @@ export class SidebarManager {
         const expandedPaths = getStorageItem(`${this.pageType}_expandedNodes`, []);
         const displayMode = getStorageItem(`${this.pageType}_displayMode`, 'tree'); // 'tree' or 'list', default to 'tree'
         const recursiveSearchEnabled = getStorageItem(`${this.pageType}_recursiveSearch`, true);
+        this.isDisabledByPage = getStorageItem(`${this.pageType}_sidebarDisabled`, false);
 
         this.isPinned = isPinned;
         this.expandedNodes = new Set(expandedPaths);

static/js/components/shared/ModelCard.js

@@ -1,4 +1,4 @@
-import { showToast, openCivitai, copyToClipboard, copyLoraSyntax, sendLoraToWorkflow, openExampleImagesFolder, buildLoraSyntax, sendModelPathToWorkflow } from '../../utils/uiHelpers.js';
+import { showToast, openCivitai, copyToClipboard, copyLoraSyntax, sendLoraToWorkflow, sendEmbeddingToWorkflow, openExampleImagesFolder, buildLoraSyntax, sendModelPathToWorkflow } from '../../utils/uiHelpers.js';
 import { state, getCurrentPageState } from '../../state/index.js';
 import { showModelModal } from './ModelModal.js';
 import { toggleShowcase } from './showcase/ShowcaseView.js';
@@ -216,6 +216,11 @@ function handleSendToWorkflow(card, replaceMode, modelType) {
             missingNodesMessage,
             missingTargetMessage,
         });
+    } else if (modelType === MODEL_TYPES.EMBEDDING) {
+        const folder = card.dataset.folder || '';
+        const name = card.dataset.file_name || '';
+        const embeddingCode = folder ? `embedding:${folder}/${name}` : `embedding:${name}`;
+        sendEmbeddingToWorkflow(embeddingCode);
     } else {
         showToast('modelCard.sendToWorkflow.checkpointNotImplemented', {}, 'info');
     }
@@ -230,8 +235,11 @@ function handleCopyAction(card, modelType) {
         const message = translate('modelCard.actions.checkpointNameCopied', {}, 'Checkpoint name copied');
         copyToClipboard(checkpointName, message);
     } else if (modelType === MODEL_TYPES.EMBEDDING) {
-        const embeddingName = card.dataset.file_name;
-        copyToClipboard(embeddingName, 'Embedding name copied');
+        const folder = card.dataset.folder || '';
+        const name = card.dataset.file_name || '';
+        const embeddingCode = folder ? `embedding:${folder}/${name}` : `embedding:${name}`;
+        const message = translate('modelCard.actions.embeddingNameCopied', {}, 'Embedding syntax copied');
+        copyToClipboard(embeddingCode, message);
     }
 }
 

static/js/components/shared/ModelModal.js

@@ -1,4 +1,4 @@
-import { showToast, openCivitai, sendLoraToWorkflow, sendModelPathToWorkflow, buildLoraSyntax } from '../../utils/uiHelpers.js';
+import { showToast, openCivitai, sendLoraToWorkflow, sendEmbeddingToWorkflow, sendModelPathToWorkflow, buildLoraSyntax } from '../../utils/uiHelpers.js';
 import { modalManager } from '../../managers/ModalManager.js';
 import { MODEL_TYPES } from '../../api/apiConfig.js';
 import {
@@ -648,6 +648,10 @@ export async function showModelModal(model, modelType) {
         if (modelType === 'checkpoints' && modelWithFullData.sub_type) {
             activeModalElement.dataset.subType = modelWithFullData.sub_type;
         }
+        // Store folder for embedding models
+        if (modelType === 'embeddings' && modelWithFullData.folder) {
+            activeModalElement.dataset.folder = modelWithFullData.folder;
+        }
     }
     updateVersionsTabBadge(updateAvailabilityState.hasUpdateAvailable);
     const versionsTabController = initVersionsTab({
@@ -1188,9 +1192,10 @@ async function handleSendToWorkflow(target, modelType) {
             missingTargetMessage,
         });
     } else if (modelType === 'embeddings') {
-        // For Embedding: Send as LoRA syntax (embedding name only)
-        const embeddingSyntax = `<embed:${currentFileName}:1>`;
-        await sendLoraToWorkflow(embeddingSyntax, false, 'embedding');
+        const folder = modalElement?.dataset?.folder || '';
+        const name = currentFileName.replace(/\.[^.]+$/, '');
+        const embeddingCode = folder ? `embedding:${folder}/${name}` : `embedding:${name}`;
+        await sendEmbeddingToWorkflow(embeddingCode);
     }
 }
 

static/js/managers/BulkManager.js

@@ -1,5 +1,5 @@
 import { state, getCurrentPageState } from '../state/index.js';
-import { showToast, copyToClipboard, sendLoraToWorkflow, buildLoraSyntax, getNSFWLevelName } from '../utils/uiHelpers.js';
+import { showToast, copyToClipboard, sendLoraToWorkflow, sendEmbeddingToWorkflow, buildLoraSyntax, getNSFWLevelName } from '../utils/uiHelpers.js';
 import { updateCardsForBulkMode } from '../components/shared/ModelCard.js';
 import { modalManager } from './ModalManager.js';
 import { getModelApiClient, resetAndReload } from '../api/modelApiFactory.js';
@@ -47,7 +47,7 @@ export class BulkManager {
             },
             [MODEL_TYPES.EMBEDDING]: {
                 addTags: true,
-                sendToWorkflow: false,
+                sendToWorkflow: true,
                 copyAll: false,
                 refreshAll: true,
                 checkUpdates: true,
@@ -86,7 +86,8 @@ export class BulkManager {
                 skipMetadataRefresh: false,
                 setFavorite: true,
                 unfavorite: true,
-                repairMetadata: true
+                repairMetadata: true,
+                reimportMetadata: true
             }
         };
 
@@ -503,13 +504,17 @@ export class BulkManager {
     }
 
     async sendAllModelsToWorkflow(replaceMode = false) {
-        if (state.currentPageType !== MODEL_TYPES.LORA) {
-            showToast('toast.loras.sendOnlyForLoras', {}, 'warning');
+        if (state.selectedModels.size === 0) {
+            showToast('toast.models.noModelsSelected', {}, 'warning');
             return;
         }
 
-        if (state.selectedModels.size === 0) {
-            showToast('toast.loras.noLorasSelected', {}, 'warning');
+        if (state.currentPageType === MODEL_TYPES.EMBEDDING) {
+            return this._sendAllEmbeddingsToWorkflow();
+        }
+
+        if (state.currentPageType !== MODEL_TYPES.LORA) {
+            showToast('toast.loras.sendOnlyForLoras', {}, 'warning');
             return;
         }
 
@@ -541,6 +546,28 @@ export class BulkManager {
         await sendLoraToWorkflow(loraSyntaxes.join(', '), replaceMode, 'lora');
     }
 
+    async _sendAllEmbeddingsToWorkflow() {
+        const embeddingCodes = [];
+        for (const filepath of state.selectedModels) {
+            const escapedPath = CSS.escape(filepath);
+            const card = document.querySelector(`.model-card[data-filepath="${escapedPath}"]`);
+            if (card) {
+                const folder = card.dataset.folder || '';
+                const name = card.dataset.file_name || '';
+                const code = folder ? `embedding:${folder}/${name}` : `embedding:${name}`;
+                embeddingCodes.push(code);
+            }
+        }
+
+        if (embeddingCodes.length === 0) {
+            showToast('No valid embedding data found', {}, 'warning');
+            return;
+        }
+
+        const joinedCode = embeddingCodes.join(', ');
+        await sendEmbeddingToWorkflow(joinedCode);
+    }
+
     showBulkDeleteModal() {
         if (state.selectedModels.size === 0) {
             showToast('toast.models.noModelsSelected', {}, 'warning');
@@ -657,6 +684,86 @@ export class BulkManager {
         }
     }
 
+    async reimportSelectedRecipes() {
+        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;
+        }
+
+        const filePaths = Array.from(state.selectedModels);
+        const total = filePaths.length;
+        let completed = 0;
+        let failed = 0;
+
+        const recipeMap = new Map();
+        if (state.virtualScroller?.items) {
+            for (const item of state.virtualScroller.items) {
+                if (item.file_path && item.id) {
+                    recipeMap.set(item.file_path, item);
+                }
+            }
+        }
+
+        const progressUI = state.loadingManager.showEnhancedProgress(
+            `Re-importing recipe 1/${total}...`
+        );
+
+        try {
+            for (let i = 0; i < filePaths.length; i++) {
+                const filePath = filePaths[i];
+                const recipeItem = recipeMap.get(filePath);
+                const recipeId = recipeItem?.id;
+                const recipeName = recipeItem?.title || recipeId || 'Unknown';
+
+                progressUI.updateProgress(
+                    Math.floor((i / total) * 100),
+                    recipeName,
+                    `Re-importing recipe ${Math.min(i + 1, total)}/${total}...`
+                );
+
+                if (!recipeId) {
+                    failed++;
+                    continue;
+                }
+
+                try {
+                    const response = await fetch(
+                        `/api/lm/recipe/${recipeId}/reimport`,
+                        { method: 'POST' }
+                    );
+                    const result = await response.json();
+                    if (result.success) {
+                        completed++;
+                    } else {
+                        failed++;
+                    }
+                } catch {
+                    failed++;
+                }
+            }
+            if (completed > 0) {
+                await progressUI.complete(
+                    `Re-import complete: ${completed} re-imported, ${failed} failed`
+                );
+                const { resetAndReload: recipeResetAndReload } = await import('../api/recipeApi.js');
+                recipeResetAndReload(false, { preserveScroll: false });
+                this.clearSelection();
+            } else {
+                state.loadingManager.hide();
+                showToast('toast.recipes.reimportBulkFailed', {}, 'error');
+            }
+        } catch (error) {
+            console.error('[reimportSelectedRecipes] outer catch:', error);
+            state.loadingManager.hide();
+            showToast('toast.recipes.reimportBulkFailed', {}, 'error');
+        }
+    }
+
     async repairSelectedRecipes() {
         if (state.selectedModels.size === 0) {
             showToast('toast.recipes.noRecipesSelected', {}, 'warning');

static/js/managers/SettingsManager.js

@@ -804,6 +804,16 @@ export class SettingsManager {
             );
         }
 
+        // Set card blur amount slider
+        const cardBlurAmountInput = document.getElementById('cardBlurAmount');
+        if (cardBlurAmountInput) {
+            cardBlurAmountInput.value = state.global.settings.card_blur_amount ?? 8;
+        }
+        const cardBlurAmountValue = document.getElementById('cardBlurAmountValue');
+        if (cardBlurAmountValue) {
+            cardBlurAmountValue.textContent = `${state.global.settings.card_blur_amount ?? 8}px`;
+        }
+
         const usePortableCheckbox = document.getElementById('usePortableSettings');
         if (usePortableCheckbox) {
             usePortableCheckbox.checked = !!state.global.settings.use_portable_settings;
@@ -2051,6 +2061,28 @@ export class SettingsManager {
         }
     }
 
+    async saveRangeSetting(elementId, displayId, settingKey) {
+        const element = document.getElementById(elementId);
+        if (!element) return;
+
+        const value = parseInt(element.value, 10);
+
+        try {
+            await this.saveSetting(settingKey, value);
+            this.applyFrontendSettings();
+
+            // Update the displayed value next to the slider
+            const displayEl = document.getElementById(displayId);
+            if (displayEl) {
+                displayEl.textContent = `${value}px`;
+            }
+
+            showToast('toast.settings.settingsUpdated', { setting: settingKey.replace(/_/g, ' ') }, 'success');
+        } catch (error) {
+            showToast('toast.settings.settingSaveFailed', { message: error.message }, 'error');
+        }
+    }
+
     updateExampleImagesOpenSettingsVisibility() {
         const openMode = state.global.settings.example_images_open_mode || 'system';
         const localRootSetting = document.getElementById('exampleImagesLocalRootSetting');
@@ -2887,6 +2919,10 @@ export class SettingsManager {
     }
 
     applyFrontendSettings() {
+        // Apply card blur amount to CSS custom property
+        const cardBlurAmount = state.global.settings.card_blur_amount ?? 8;
+        document.documentElement.style.setProperty('--card-blur-amount', `${cardBlurAmount}px`);
+
         // Apply autoplay setting to existing videos in card previews
         const autoplayOnHover = state.global.settings.autoplay_on_hover;
         document.querySelectorAll('.card-preview video').forEach(video => {

static/js/state/index.js

@@ -32,6 +32,7 @@ const DEFAULT_SETTINGS_BASE = Object.freeze({
     auto_download_example_images: false,
     blur_mature_content: true,
     mature_blur_level: 'R',
+    card_blur_amount: 8,
     autoplay_on_hover: false,
     display_density: 'default',
     card_info_display: 'always',

static/js/utils/uiHelpers.js

@@ -866,6 +866,100 @@ async function sendWidgetValueToNodes(nodeIds, nodesMap, widgetName, value, mess
   }
 }
 
+async function sendTextToNodes(nodeIds, nodesMap, text, mode, messages = {}) {
+  const {
+    successMessage = 'Updated workflow node',
+    failureMessage = 'Failed to update workflow node',
+    missingTargetMessage = 'No target node selected',
+  } = messages;
+
+  const targetIds = Array.isArray(nodeIds) ? nodeIds : [];
+  if (targetIds.length === 0) {
+    showToast(missingTargetMessage, {}, 'warning');
+    return false;
+  }
+
+  const references = targetIds
+    .map((nodeKey) => resolveNodeReference(nodeKey, nodesMap))
+    .filter((reference) => reference && reference.node_id !== undefined);
+
+  if (references.length === 0) {
+    showToast(missingTargetMessage, {}, 'warning');
+    return false;
+  }
+
+  try {
+    const response = await fetch('/api/lm/update-node-widget', {
+      method: 'POST',
+      headers: {
+        'Content-Type': 'application/json',
+      },
+      body: JSON.stringify({
+        widget_name: 'text',
+        value: text,
+        mode: mode || 'append',
+        node_ids: references,
+      }),
+    });
+
+    const result = await response.json();
+    if (result.success) {
+      showToast(successMessage, {}, 'success');
+      return true;
+    }
+
+    const errorMessage = result?.error || failureMessage;
+    showToast(errorMessage, {}, 'error');
+    return false;
+  } catch (error) {
+    console.error('Failed to send text to workflow:', error);
+    showToast(failureMessage, {}, 'error');
+    return false;
+  }
+}
+
+export async function sendEmbeddingToWorkflow(embeddingCode) {
+  const registry = await fetchWorkflowRegistry();
+  if (!registry) {
+    return false;
+  }
+
+  const textNodes = filterRegistryNodes(registry.nodes, (node) => {
+    if (!isNodeEnabled(node)) {
+      return false;
+    }
+    return node.capabilities?.has_text_widget === true;
+  });
+
+  const nodeKeys = Object.keys(textNodes);
+  if (nodeKeys.length === 0) {
+    showToast('uiHelpers.workflow.noMatchingNodes', {}, 'warning');
+    return false;
+  }
+
+  const messages = {
+    successMessage: translate('uiHelpers.workflow.embeddingAdded', {}, 'Embedding added to workflow'),
+    failureMessage: translate('uiHelpers.workflow.embeddingFailed', {}, 'Failed to add embedding'),
+    missingTargetMessage: translate('uiHelpers.workflow.noTargetNodeSelected', {}, 'No target node selected'),
+  };
+
+  const handleSend = (selectedNodeIds) =>
+    sendTextToNodes(selectedNodeIds, textNodes, embeddingCode, 'append', messages);
+
+  if (nodeKeys.length === 1) {
+    return await handleSend([nodeKeys[0]]);
+  }
+
+  const actionType = translate('uiHelpers.nodeSelector.embedding', {}, 'Embedding');
+
+  showNodeSelector(textNodes, {
+    actionType,
+    actionMode: '',
+    onSend: handleSend,
+  });
+  return true;
+}
+
 // Global variable to track active node selector state
 let nodeSelectorState = {
   isActive: false,
@@ -904,7 +998,9 @@ function showNodeSelector(nodes, options = {}) {
   nodeSelectorState.enableSendAll = options.enableSendAll !== false;
 
   // Generate node list HTML with icons and proper colors
-  const nodeItems = Object.entries(safeNodes).map(([nodeKey, node]) => {
+  const nodeItems = Object.entries(safeNodes)
+    .sort(([, a], [, b]) => a.type - b.type || a.id - b.id)
+    .map(([nodeKey, node]) => {
     const iconClass = NODE_TYPE_ICONS[node.type] || 'fas fa-question-circle';
     const bgColor = node.bgcolor || DEFAULT_NODE_COLOR;
     const graphLabel = node.graph_name ? ` (${node.graph_name})` : '';

templates/checkpoints.html

@@ -10,17 +10,27 @@
 {% block additional_components %}
 
 <div id="checkpointContextMenu" class="context-menu" style="display: none;">
+    <!-- Metadata -->
     <div class="context-menu-item" data-action="refresh-metadata"><i class="fas fa-sync"></i> {{ t('loras.contextMenu.refreshMetadata') }}</div>
     <div class="context-menu-item" data-action="relink-civitai"><i class="fas fa-link"></i> {{ t('loras.contextMenu.relinkCivitai') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Workflow -->
     <div class="context-menu-item" data-action="copyname"><i class="fas fa-copy"></i> {{ t('loras.contextMenu.copyFilename') }}</div>
     <div class="context-menu-item" data-action="sendworkflow"><i class="fas fa-paper-plane"></i> {{ t('checkpoints.contextMenu.sendToWorkflow') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Media / Preview -->
     <div class="context-menu-item" data-action="preview"><i class="fas fa-folder-open"></i> {{ t('loras.contextMenu.openExamples') }}</div>
     <div class="context-menu-item" data-action="download-examples"><i class="fas fa-download"></i> {{ t('loras.contextMenu.downloadExamples') }}</div>
     <div class="context-menu-item" data-action="replace-preview"><i class="fas fa-image"></i> {{ t('loras.contextMenu.replacePreview') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Attributes -->
     <div class="context-menu-item" data-action="set-nsfw"><i class="fas fa-exclamation-triangle"></i> {{ t('loras.contextMenu.setContentRating') }}</div>
-    <div class="context-menu-separator"></div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Organization -->
     <div class="context-menu-item" data-action="move"><i class="fas fa-folder-open"></i> {{ t('loras.contextMenu.moveToFolder') }}</div>
     <div class="context-menu-item" data-action="move-other"><i class="fas fa-exchange-alt"></i> {{ t('checkpoints.contextMenu.moveToOtherTypeFolder', {otherType: '...'}) }}</div>
+    <div class="context-menu-separator"></div>
+    <!-- Destructive -->
     <div class="context-menu-item" data-action="exclude"><i class="fas fa-eye-slash"></i> {{ t('loras.contextMenu.excludeModel') }}</div>
     <div class="context-menu-item delete-item" data-action="delete"><i class="fas fa-trash"></i> {{ t('loras.contextMenu.deleteModel') }}</div>
 </div>

templates/components/context_menu.html

@@ -5,6 +5,7 @@
     <!-- <div class="context-menu-item" data-action="civitai">
         <i class="fas fa-external-link-alt"></i> View on Civitai
     </div> -->
+    <!-- Metadata -->
     <div class="context-menu-item" data-action="refresh-metadata">
         <i class="fas fa-sync"></i> <span>{{ t('loras.contextMenu.refreshMetadata') }}</span>
     </div>
@@ -14,6 +15,8 @@
     <div class="context-menu-item" data-action="relink-civitai">
         <i class="fas fa-link"></i> <span>{{ t('loras.contextMenu.relinkCivitai') }}</span>
     </div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Workflow -->
     <div class="context-menu-item" data-action="copyname">
         <i class="fas fa-copy"></i> <span>{{ t('loras.contextMenu.copySyntax') }}</span>
     </div>
@@ -23,6 +26,8 @@
     <div class="context-menu-item" data-action="sendreplace">
         <i class="fas fa-exchange-alt"></i> <span>{{ t('loras.contextMenu.sendToWorkflowReplace') }}</span>
     </div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Media / Preview -->
     <div class="context-menu-item" data-action="preview">
         <i class="fas fa-folder-open"></i> <span>{{ t('loras.contextMenu.openExamples') }}</span>
     </div>
@@ -32,13 +37,18 @@
     <div class="context-menu-item" data-action="replace-preview">
         <i class="fas fa-image"></i> <span>{{ t('loras.contextMenu.replacePreview') }}</span>
     </div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Attributes -->
     <div class="context-menu-item" data-action="set-nsfw">
         <i class="fas fa-exclamation-triangle"></i> <span>{{ t('loras.contextMenu.setContentRating') }}</span>
     </div>
-    <div class="context-menu-separator"></div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Organization -->
     <div class="context-menu-item" data-action="move">
         <i class="fas fa-folder-open"></i> <span>{{ t('loras.contextMenu.moveToFolder') }}</span>
     </div>
+    <div class="context-menu-separator"></div>
+    <!-- Destructive -->
     <div class="context-menu-item" data-action="exclude">
         <i class="fas fa-eye-slash"></i> <span>{{ t('loras.contextMenu.excludeModel') }}</span>
     </div>
@@ -53,6 +63,27 @@
         <span>{{ t('loras.bulkOperations.selected', {'count': 0}) }}</span>
     </div>
     <div class="context-menu-separator"></div>
+    <div class="context-menu-section" data-section="metadata">
+        <div class="context-menu-section-header">{{ t('loras.bulkOperations.sections.metadata') }}</div>
+        <div class="context-menu-item" data-action="refresh-all">
+            <i class="fas fa-sync-alt"></i> <span>{{ t('loras.bulkOperations.refreshAll') }}</span>
+        </div>
+        <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>
+        </div>
+        <div class="context-menu-item" data-action="reimport-metadata">
+            <i class="fas fa-undo-alt"></i> <span>{{ t('loras.bulkOperations.reimportMetadata') }}</span>
+        </div>
+        <div class="context-menu-item" data-action="skip-metadata-refresh">
+            <i class="fas fa-ban"></i> <span>{{ t('loras.bulkOperations.skipMetadataRefresh') }}</span>
+        </div>
+        <div class="context-menu-item" data-action="resume-metadata-refresh">
+            <i class="fas fa-redo"></i> <span>{{ t('loras.bulkOperations.resumeMetadataRefresh') }}</span>
+        </div>
+    </div>
     <div class="context-menu-section" data-section="workflow">
         <div class="context-menu-section-header">{{ t('loras.bulkOperations.sections.workflow') }}</div>
         <div class="context-menu-item has-submenu" data-has-submenu="send-to-workflow">
@@ -72,24 +103,6 @@
             </div>
         </div>
     </div>
-    <div class="context-menu-section" data-section="metadata">
-        <div class="context-menu-section-header">{{ t('loras.bulkOperations.sections.metadata') }}</div>
-        <div class="context-menu-item" data-action="refresh-all">
-            <i class="fas fa-sync-alt"></i> <span>{{ t('loras.bulkOperations.refreshAll') }}</span>
-        </div>
-        <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>
-        </div>
-        <div class="context-menu-item" data-action="skip-metadata-refresh">
-            <i class="fas fa-ban"></i> <span>{{ t('loras.bulkOperations.skipMetadataRefresh') }}</span>
-        </div>
-        <div class="context-menu-item" data-action="resume-metadata-refresh">
-            <i class="fas fa-redo"></i> <span>{{ t('loras.bulkOperations.resumeMetadataRefresh') }}</span>
-        </div>
-    </div>
     <div class="context-menu-section" data-section="attributes">
         <div class="context-menu-section-header">{{ t('loras.bulkOperations.sections.attributes') }}</div>
         <div class="context-menu-item" data-action="add-tags">
@@ -105,15 +118,6 @@
             <i class="fas fa-exclamation-triangle"></i> <span>{{ t('loras.bulkOperations.setContentRating') }}</span>
         </div>
     </div>
-    <div class="context-menu-section" data-section="organize">
-        <div class="context-menu-section-header">{{ t('loras.bulkOperations.sections.organize') }}</div>
-        <div class="context-menu-item" data-action="auto-organize">
-            <i class="fas fa-magic"></i> <span>{{ t('loras.bulkOperations.autoOrganize') }}</span>
-        </div>
-        <div class="context-menu-item" data-action="move-all">
-            <i class="fas fa-folder-open"></i> <span>{{ t('loras.bulkOperations.moveAll') }}</span>
-        </div>
-    </div>
     <div class="context-menu-section" data-section="download">
         <div class="context-menu-section-header">{{ t('loras.bulkOperations.sections.download') }}</div>
         <div class="context-menu-item" data-action="download-example-images">
@@ -123,6 +127,15 @@
             <i class="fas fa-download"></i> <span>{{ t('loras.bulkOperations.downloadMissingLoras') }}</span>
         </div>
     </div>
+    <div class="context-menu-section" data-section="organize">
+        <div class="context-menu-section-header">{{ t('loras.bulkOperations.sections.organize') }}</div>
+        <div class="context-menu-item" data-action="auto-organize">
+            <i class="fas fa-magic"></i> <span>{{ t('loras.bulkOperations.autoOrganize') }}</span>
+        </div>
+        <div class="context-menu-item" data-action="move-all">
+            <i class="fas fa-folder-open"></i> <span>{{ t('loras.bulkOperations.moveAll') }}</span>
+        </div>
+    </div>
     <div class="context-menu-separator"></div>
     <div class="context-menu-item delete-item" data-action="delete-all">
         <i class="fas fa-trash"></i> <span>{{ t('loras.bulkOperations.deleteAll') }}</span>

templates/components/folder_sidebar.html

@@ -18,6 +18,20 @@
             <button class="sidebar-action-btn" id="sidebarPinToggle" title="{{ t('sidebar.unpinSidebar') }}">
                 <i class="fas fa-thumbtack"></i>
             </button>
+            <button class="sidebar-action-btn" id="sidebarMoreToggle" title="{{ t('sidebar.moreOptions') }}">
+                <i class="fas fa-ellipsis-v"></i>
+            </button>
+        </div>
+        <!-- Dropdown menu for more options -->
+        <div class="sidebar-more-dropdown" id="sidebarMoreDropdown">
+            <div class="sidebar-dropdown-item" data-action="toggle-pin">
+                <i class="fas fa-thumbtack"></i>
+                <span id="sidebarMorePinLabel">{{ t('sidebar.pinSidebar') }}</span>
+            </div>
+            <div class="sidebar-dropdown-item" data-action="toggle-hide">
+                <i class="fas fa-eye-slash"></i>
+                <span>{{ t('sidebar.hideOnThisPage') }}</span>
+            </div>
         </div>
     </div>
     <div class="sidebar-content">

templates/components/modals/settings_modal.html

@@ -104,6 +104,7 @@
                                             id="civitaiApiKey" 
                                             placeholder="{{ t('settings.civitaiApiKeyPlaceholder') }}"
                                             value="{{ settings.get('civitai_api_key', '') }}"
+                                            autocomplete="new-password"
                                             onblur="settingsManager.saveInputSetting('civitaiApiKey', 'civitai_api_key')"
                                             onkeydown="if(event.key === 'Enter') { this.blur(); }" />
                                         <button class="toggle-visibility">
@@ -371,6 +372,7 @@
                                             <div class="api-key-input">
                                                 <input type="password" id="proxyPassword" 
                                                        placeholder="{{ t('settings.proxySettings.proxyPasswordPlaceholder') }}"
+                                                       autocomplete="new-password"
                                                        onblur="settingsManager.saveInputSetting('proxyPassword', 'proxy_password')"
                                                        onkeydown="if(event.key === 'Enter') { this.blur(); }" />
                                                 <button class="toggle-visibility">
@@ -446,6 +448,7 @@
                                     </div>
                                 </div>
                             </div>
+
                         </div>
                         
                         <!-- Video Settings -->
@@ -554,6 +557,23 @@
                                 </div>
                             </div>
 
+                            <div class="setting-item">
+                                <div class="setting-row">
+                                    <div class="setting-info">
+                                        <label for="cardBlurAmount">
+                                        {{ t('settings.layoutSettings.cardBlurAmount') }}
+                                        <i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.layoutSettings.cardBlurAmountHelp') }}"></i>
+                                    </label>
+                                    </div>
+                                    <div class="setting-control range-control">
+                                        <input type="range" id="cardBlurAmount" min="0" max="20" value="8" step="1"
+                                               oninput="document.getElementById('cardBlurAmountValue').textContent = this.value + 'px'"
+                                               onchange="settingsManager.saveRangeSetting('cardBlurAmount', 'cardBlurAmountValue', 'card_blur_amount')">
+                                        <span id="cardBlurAmountValue" class="range-value">8px</span>
+                                    </div>
+                                </div>
+                            </div>
+
                             <div class="setting-item">
                                 <div class="setting-row">
                                     <div class="setting-info">

templates/embeddings.html

@@ -10,15 +10,26 @@
 {% block additional_components %}
 
 <div id="embeddingContextMenu" class="context-menu" style="display: none;">
+    <!-- Metadata -->
     <div class="context-menu-item" data-action="refresh-metadata"><i class="fas fa-sync"></i> {{ t('loras.contextMenu.refreshMetadata') }}</div>
     <div class="context-menu-item" data-action="relink-civitai"><i class="fas fa-link"></i> {{ t('loras.contextMenu.relinkCivitai') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Workflow -->
     <div class="context-menu-item" data-action="copyname"><i class="fas fa-copy"></i> {{ t('loras.contextMenu.copyFilename') }}</div>
+    <div class="context-menu-item" data-action="sendtoworkflow"><i class="fas fa-paper-plane"></i> {{ t('checkpoints.contextMenu.sendToWorkflow') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Media / Preview -->
     <div class="context-menu-item" data-action="preview"><i class="fas fa-folder-open"></i> {{ t('loras.contextMenu.openExamples') }}</div>
     <div class="context-menu-item" data-action="download-examples"><i class="fas fa-download"></i> {{ t('loras.contextMenu.downloadExamples') }}</div>
     <div class="context-menu-item" data-action="replace-preview"><i class="fas fa-image"></i> {{ t('loras.contextMenu.replacePreview') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Attributes -->
     <div class="context-menu-item" data-action="set-nsfw"><i class="fas fa-exclamation-triangle"></i> {{ t('loras.contextMenu.setContentRating') }}</div>
-    <div class="context-menu-separator"></div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Organization -->
     <div class="context-menu-item" data-action="move"><i class="fas fa-folder-open"></i> {{ t('loras.contextMenu.moveToFolder') }}</div>
+    <div class="context-menu-separator"></div>
+    <!-- Destructive -->
     <div class="context-menu-item" data-action="exclude"><i class="fas fa-eye-slash"></i> {{ t('loras.contextMenu.excludeModel') }}</div>
     <div class="context-menu-item delete-item" data-action="delete"><i class="fas fa-trash"></i> {{ t('loras.contextMenu.deleteModel') }}</div>
 </div>

templates/recipes.html

@@ -17,6 +17,15 @@
 
 <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') }}
+    </div>
+    <div class="context-menu-item" data-action="reimport">
+        <i class="fas fa-undo-alt"></i> {{ t('loras.contextMenu.reimportMetadata') }}
+    </div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Workflow / Share -->
     <div class="context-menu-item" data-action="share"><i class="fas fa-share-alt"></i> {{
         t('loras.contextMenu.shareRecipe') }}</div>
     <div class="context-menu-item" data-action="copy"><i class="fas fa-copy"></i> {{
@@ -25,19 +34,23 @@
         t('loras.contextMenu.sendToWorkflowAppend') }}</div>
     <div class="context-menu-item" data-action="sendreplace"><i class="fas fa-exchange-alt"></i> {{
         t('loras.contextMenu.sendToWorkflowReplace') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Recipe-specific -->
     <div class="context-menu-item" data-action="viewloras"><i class="fas fa-layer-group"></i> {{
         t('loras.contextMenu.viewAllLoras') }}</div>
     <div class="context-menu-item download-missing-item" data-action="download-missing"><i class="fas fa-download"></i>
         {{ t('loras.contextMenu.downloadMissingLoras') }}</div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Attributes -->
     <div class="context-menu-item" data-action="set-nsfw">
         <i class="fas fa-exclamation-triangle"></i> {{ t('loras.contextMenu.setContentRating') }}
     </div>
-    <div class="context-menu-item" data-action="repair">
-        <i class="fas fa-tools"></i> {{ t('loras.contextMenu.repairMetadata') }}
-    </div>
-    <div class="context-menu-separator"></div>
+    <div class="context-menu-separator menu-section-break"></div>
+    <!-- Organization -->
     <div class="context-menu-item" data-action="move"><i class="fas fa-folder-open"></i> {{
         t('loras.contextMenu.moveToFolder') }}</div>
+    <div class="context-menu-separator"></div>
+    <!-- Destructive -->
     <div class="context-menu-item delete-item" data-action="delete"><i class="fas fa-trash"></i> {{
         t('loras.contextMenu.deleteRecipe') }}</div>
 </div>

tests/routes/test_misc_routes.py

@@ -754,6 +754,7 @@ async def test_update_node_widget_sends_payload():
                 "widget_name": "ckpt_name",
                 "value": "models/checkpoints/model.ckpt",
                 "graph_id": "root",
+                "mode": "replace",
             },
         )
     ]

tests/routes/test_recipe_routes.py

@@ -46,6 +46,7 @@ class StubRecipeScanner:
         self.last_paginated_params: Dict[str, Any] | None = None
         self.lora_lookup: Dict[str, List[Dict[str, Any]]] = {}
         self.checkpoint_lookup: Dict[str, List[Dict[str, Any]]] = {}
+        self.image_id_map_override: Dict[str, str] = {}
 
         async def _noop_get_cached_data(force_refresh: bool = False) -> None:  # noqa: ARG001 - signature mirrors real scanner
             return None
@@ -56,7 +57,10 @@ class StubRecipeScanner:
         )
 
     async def get_cached_data(self, force_refresh: bool = False) -> SimpleNamespace:  # noqa: ARG002 - flag unused by stub
-        return SimpleNamespace(raw_data=list(self.cached_raw))
+        return SimpleNamespace(
+            raw_data=list(self.cached_raw),
+            image_id_map=dict(getattr(self, "image_id_map_override", {})),
+        )
 
     async def get_paginated_data(self, **params: Any) -> Dict[str, Any]:
         self.last_paginated_params = params
@@ -999,3 +1003,95 @@ async def test_batch_import_cancel_missing_id(monkeypatch, tmp_path: Path) -> No
         payload = await response.json()
         assert response.status == 400
         assert payload["success"] is False
+
+
+async def test_check_image_exists_uses_image_id_map(monkeypatch, tmp_path: Path) -> None:
+    """check_image_exists must use precomputed image_id_map instead of scanning raw_data."""
+    async with recipe_harness(monkeypatch, tmp_path) as harness:
+        harness.scanner.image_id_map_override = {
+            "123": "recipe-alpha",
+            "789": "recipe-gamma",
+        }
+
+        response = await harness.client.get(
+            "/api/lm/recipes/check-image-exists",
+            params={"image_ids": "123,456,789"},
+        )
+        payload = await response.json()
+
+        assert response.status == 200
+        assert payload["success"] is True
+        assert payload["results"]["123"] == {
+            "in_library": True,
+            "recipe_id": "recipe-alpha",
+        }
+        assert payload["results"]["456"] == {
+            "in_library": False,
+            "recipe_id": None,
+        }
+        assert payload["results"]["789"] == {
+            "in_library": True,
+            "recipe_id": "recipe-gamma",
+        }
+
+
+async def test_check_image_exists_handles_empty_input(monkeypatch, tmp_path: Path) -> None:
+    """Empty or non-numeric image_ids must return an empty results dict."""
+    async with recipe_harness(monkeypatch, tmp_path) as harness:
+        response = await harness.client.get(
+            "/api/lm/recipes/check-image-exists",
+            params={"image_ids": ""},
+        )
+        payload = await response.json()
+        assert response.status == 200
+        assert payload["results"] == {}
+
+
+async def test_import_from_url_detects_duplicate_via_image_id_map(
+    monkeypatch, tmp_path: Path,
+) -> None:
+    """import_from_url must return already_exists when image_id is in image_id_map."""
+    async with recipe_harness(monkeypatch, tmp_path) as harness:
+        harness.scanner.cached_raw = [
+            {"id": "existing-recipe", "title": "My Recipe"},
+        ]
+        harness.scanner.image_id_map_override = {
+            "99999": "existing-recipe",
+        }
+
+        response = await harness.client.get(
+            "/api/lm/recipes/import-from-url",
+            params={"image_url": "https://civitai.com/images/99999"},
+        )
+        payload = await response.json()
+
+        assert response.status == 200
+        assert payload["already_exists"] is True
+        assert payload["recipe_id"] == "existing-recipe"
+        assert payload["name"] == "My Recipe"
+
+
+async def test_import_from_url_proceeds_when_image_id_not_in_map(
+    monkeypatch, tmp_path: Path,
+) -> None:
+    """When image_id is absent from image_id_map, import_from_url must proceed to import."""
+    async with recipe_harness(monkeypatch, tmp_path) as harness:
+        harness.scanner.image_id_map_override = {
+            "111": "some-other-recipe",
+        }
+        harness.civitai.image_info["99999"] = {
+            "id": 99999,
+            "url": "https://image.civitai.com/x/y/original=true/sample.jpeg",
+            "type": "image",
+            "meta": {"prompt": "test"},
+        }
+
+        response = await harness.client.get(
+            "/api/lm/recipes/import-from-url",
+            params={"image_url": "https://civitai.com/images/99999"},
+        )
+
+        # The import may succeed or fail depending on downstream stubs,
+        # but it must NOT return already_exists
+        payload = await response.json()
+        assert payload.get("already_exists") is not True

tests/services/test_recipe_scanner.py

@@ -1015,3 +1015,85 @@ async def test_get_paginated_data_sorting(recipe_scanner):
     # Test Date ASC: Gamma (5), Alpha (10), Beta (20)
     res = await scanner.get_paginated_data(page=1, page_size=10, sort_by="date:asc")
     assert [i["id"] for i in res["items"]] == ["C", "A", "B"]
+
+
+async def test_build_image_id_map_filters_correctly(recipe_scanner):
+    """Only recipes with valid CivitAI source_path appear in image_id_map.
+
+    Recipes imported from local files or with empty/missing source_path
+    must be naturally excluded.
+    """
+    scanner, _ = recipe_scanner
+    from py.services.recipe_cache import RecipeCache
+
+    scanner._cache = RecipeCache(
+        raw_data=[
+            {"id": "r1", "source_path": "https://civitai.com/images/12345"},
+            {"id": "r2", "source_path": "https://civitai.com/images/67890"},
+            {"id": "r3", "source_path": "/home/user/local_image.png"},
+            {"id": "r4", "source_path": ""},
+            {"id": "r5"},
+        ],
+        sorted_by_name=[],
+        sorted_by_date=[],
+    )
+
+    result = scanner._build_image_id_map()
+
+    assert result == {
+        "12345": "r1",
+        "67890": "r2",
+    }
+    # r3 = local file path, r4 = empty string, r5 = no key → all excluded
+    for rid in ("r3", "r4", "r5"):
+        assert rid not in result.values()
+
+
+async def test_add_recipe_updates_image_id_map(recipe_scanner):
+    """Adding a recipe with a CivitAI URL must update image_id_map.
+
+    A recipe with a local file path must NOT produce an entry.
+    """
+    scanner, _ = recipe_scanner
+
+    await scanner.add_recipe({
+        "id": "civitai-recipe",
+        "title": "CivitAI",
+        "source_path": "https://civitai.com/images/55555",
+    })
+
+    cache = await scanner.get_cached_data()
+    assert cache.image_id_map.get("55555") == "civitai-recipe"
+
+    await scanner.add_recipe({
+        "id": "local-recipe",
+        "title": "Local",
+        "source_path": "/path/to/local.png",
+    })
+
+    assert "local-recipe" not in cache.image_id_map.values()
+
+
+async def test_remove_recipe_clears_image_id_map(recipe_scanner):
+    """Removing a recipe that has a CivitAI image_id must clean up the map."""
+    scanner, _ = recipe_scanner
+
+    await scanner.add_recipe({
+        "id": "recipe-a",
+        "title": "A",
+        "source_path": "https://civitai.com/images/111",
+    })
+    await scanner.add_recipe({
+        "id": "recipe-b",
+        "title": "B",
+        "source_path": "https://civitai.com/images/222",
+    })
+
+    cache = await scanner.get_cached_data()
+    assert "111" in cache.image_id_map
+    assert cache.image_id_map["222"] == "recipe-b"
+
+    await scanner.remove_recipe("recipe-a")
+
+    assert "111" not in cache.image_id_map
+    assert cache.image_id_map["222"] == "recipe-b"

tests/test_persistent_recipe_cache.py

@@ -465,3 +465,81 @@ class TestPersistentRecipeCache:
         # Operations should complete
         assert operation_counts["saves"] == 5
         assert operation_counts["removes"] == 5
+
+    # -----------------------------------------------------------------------
+    # image_id_map persistence (Phase 1 improvement)
+    # -----------------------------------------------------------------------
+
+    def test_save_and_load_image_id_map_roundtrip(self, temp_db_path, sample_recipes):
+        """Save image_id_map via save_cache() and verify it round-trips through load_cache()."""
+        cache = PersistentRecipeCache(db_path=temp_db_path)
+
+        image_id_map = {
+            "12345": "recipe-alpha",
+            "67890": "recipe-beta",
+        }
+        cache.save_cache(sample_recipes, image_id_map=image_id_map)
+
+        loaded = cache.load_cache()
+        assert loaded is not None
+        assert loaded.image_id_map == image_id_map
+
+    def test_load_without_image_id_map_returns_empty_dict(self, temp_db_path, sample_recipes):
+        """Loading from a cache that has no image_id_map metadata must yield {}."""
+        cache = PersistentRecipeCache(db_path=temp_db_path)
+
+        # Save without image_id_map
+        cache.save_cache(sample_recipes)
+
+        loaded = cache.load_cache()
+        assert loaded is not None
+        assert loaded.image_id_map == {}
+
+    def test_save_cache_without_image_id_map_does_not_corrupt_existing(
+        self, temp_db_path, sample_recipes,
+    ):
+        """Overwriting cache without passing image_id_map must not leave stale data.
+
+        The previous image_id_map entry in cache_metadata should be replaced with {}.
+        """
+        cache = PersistentRecipeCache(db_path=temp_db_path)
+
+        cache.save_cache(sample_recipes, image_id_map={"123": "old-recipe"})
+        # Overwrite without image_id_map
+        cache.save_cache(sample_recipes)
+
+        loaded = cache.load_cache()
+        assert loaded.image_id_map == {}
+
+    def test_image_id_map_survives_recipe_update(self, temp_db_path, sample_recipes):
+        """Updating a single recipe must not drop the image_id_map metadata."""
+        cache = PersistentRecipeCache(db_path=temp_db_path)
+
+        cache.save_cache(sample_recipes, image_id_map={"123": "recipe-alpha"})
+
+        updated = dict(sample_recipes[0])
+        updated["title"] = "Updated"
+        cache.update_recipe(updated)
+
+        loaded = cache.load_cache()
+        assert loaded.image_id_map == {"123": "recipe-alpha"}
+
+    def test_save_image_id_map_persists_without_full_save(self, temp_db_path, sample_recipes):
+        """save_image_id_map must update cache_metadata without rewriting all recipes."""
+        cache = PersistentRecipeCache(db_path=temp_db_path)
+        cache.save_cache(sample_recipes)
+
+        cache.save_image_id_map({"555": "new-recipe", "666": "another-recipe"})
+
+        loaded = cache.load_cache()
+        assert loaded.image_id_map == {"555": "new-recipe", "666": "another-recipe"}
+
+    def test_save_image_id_map_overwrites_previous(self, temp_db_path, sample_recipes):
+        """Calling save_image_id_map twice must replace, not merge."""
+        cache = PersistentRecipeCache(db_path=temp_db_path)
+        cache.save_cache(sample_recipes, image_id_map={"111": "old"})
+
+        cache.save_image_id_map({"222": "new-only"})
+
+        loaded = cache.load_cache()
+        assert loaded.image_id_map == {"222": "new-only"}

tests/utils/test_usage_stats.py

@@ -27,9 +27,12 @@ async def _finalize_usage_stats(tasks):
 
 def _prepare_usage_stats(tmp_path: Path, monkeypatch: pytest.MonkeyPatch, *, sleep_override=None):
     UsageStats._instance = None
-    stats_root = tmp_path / "loras"
-    stats_root.mkdir(parents=True, exist_ok=True)
-    monkeypatch.setattr(usage_stats_module.config, "loras_roots", [str(stats_root)])
+    settings_dir = tmp_path / "settings"
+    settings_dir.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module, "get_settings_dir", lambda create=True: str(settings_dir))
+    loras_root = tmp_path / "loras"
+    loras_root.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module.config, "loras_roots", [str(loras_root)])
 
     created_tasks = []
     real_create_task = usage_stats_module.asyncio.create_task
@@ -45,7 +48,7 @@ def _prepare_usage_stats(tmp_path: Path, monkeypatch: pytest.MonkeyPatch, *, sle
         monkeypatch.setattr(usage_stats_module.asyncio, "sleep", sleep_override)
 
     stats = UsageStats()
-    return stats, created_tasks, stats_root
+    return stats, created_tasks, settings_dir, loras_root
 
 
 async def test_usage_stats_converts_legacy_format(tmp_path, monkeypatch):
@@ -57,12 +60,15 @@ async def test_usage_stats_converts_legacy_format(tmp_path, monkeypatch):
     }
 
     UsageStats._instance = None
-    stats_root = tmp_path / "loras"
-    stats_root.mkdir(parents=True, exist_ok=True)
-    monkeypatch.setattr(usage_stats_module.config, "loras_roots", [str(stats_root)])
+    settings_dir = tmp_path / "settings"
+    settings_dir.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module, "get_settings_dir", lambda create=True: str(settings_dir))
+    loras_root = tmp_path / "loras"
+    loras_root.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module.config, "loras_roots", [str(loras_root)])
 
-    stats_path = stats_root / UsageStats.STATS_FILENAME
-    stats_path.write_text(json.dumps(legacy_stats), encoding="utf-8")
+    old_stats_path = loras_root / UsageStats.STATS_FILENAME
+    old_stats_path.write_text(json.dumps(legacy_stats), encoding="utf-8")
 
     created_tasks = []
     real_create_task = usage_stats_module.asyncio.create_task
@@ -83,20 +89,23 @@ async def test_usage_stats_converts_legacy_format(tmp_path, monkeypatch):
     assert converted["checkpoints"]["hash1"] == {"total": 3, "history": {today: 3}}
     assert converted["loras"]["hash2"] == {"total": 5, "history": {today: 5}}
 
-    backup_path = stats_path.with_suffix(stats_path.suffix + UsageStats.BACKUP_SUFFIX)
+    new_stats_path = settings_dir / "stats" / UsageStats.STATS_FILENAME
+    assert new_stats_path.exists()
+
+    backup_path = new_stats_path.with_suffix(new_stats_path.suffix + UsageStats.BACKUP_SUFFIX)
     assert backup_path.exists()
 
     await _finalize_usage_stats(created_tasks)
 
 
 async def test_usage_stats_save_stats_persists_file(tmp_path, monkeypatch):
-    stats, tasks, stats_root = _prepare_usage_stats(tmp_path, monkeypatch)
+    stats, tasks, settings_dir, _ = _prepare_usage_stats(tmp_path, monkeypatch)
     stats.stats["total_executions"] = 4
 
     saved = await stats.save_stats(force=True)
     assert saved is True
 
-    stats_path = stats_root / UsageStats.STATS_FILENAME
+    stats_path = settings_dir / "stats" / UsageStats.STATS_FILENAME
     persisted = json.loads(stats_path.read_text(encoding="utf-8"))
     assert persisted["total_executions"] == 4
     assert persisted["last_save_time"] == stats.stats["last_save_time"]
@@ -110,7 +119,7 @@ async def test_usage_stats_background_processor_handles_pending_prompts(tmp_path
     async def fast_sleep(_seconds):
         await real_sleep(0.01)
 
-    stats, tasks, _ = _prepare_usage_stats(tmp_path, monkeypatch, sleep_override=fast_sleep)
+    stats, tasks, _, _ = _prepare_usage_stats(tmp_path, monkeypatch, sleep_override=fast_sleep)
 
     metadata_calls = []
     # Use string literals directly to avoid dependency on conditional imports
@@ -155,7 +164,7 @@ async def test_usage_stats_background_processor_handles_pending_prompts(tmp_path
 
 
 async def test_usage_stats_calculates_pending_checkpoint_hash_on_demand(tmp_path, monkeypatch):
-    stats, tasks, _ = _prepare_usage_stats(tmp_path, monkeypatch)
+    stats, tasks, _, _ = _prepare_usage_stats(tmp_path, monkeypatch)
 
     metadata_payload = {
         "models": {
@@ -195,7 +204,7 @@ async def test_usage_stats_calculates_pending_checkpoint_hash_on_demand(tmp_path
 
 
 async def test_usage_stats_skips_failed_checkpoint_hash_retry(tmp_path, monkeypatch):
-    stats, tasks, _ = _prepare_usage_stats(tmp_path, monkeypatch)
+    stats, tasks, _, _ = _prepare_usage_stats(tmp_path, monkeypatch)
 
     metadata_payload = {
         "models": {
@@ -234,7 +243,7 @@ async def test_usage_stats_skips_failed_checkpoint_hash_retry(tmp_path, monkeypa
 
 
 async def test_usage_stats_resolves_manually_copied_checkpoint_from_disk(tmp_path, monkeypatch):
-    stats, tasks, _ = _prepare_usage_stats(tmp_path, monkeypatch)
+    stats, tasks, _, _ = _prepare_usage_stats(tmp_path, monkeypatch)
 
     checkpoints_root = tmp_path / "checkpoints"
     checkpoints_root.mkdir()
@@ -273,7 +282,7 @@ async def test_usage_stats_resolves_manually_copied_checkpoint_from_disk(tmp_pat
 
 
 async def test_usage_stats_skips_name_fallback_for_missing_lora_hash(tmp_path, monkeypatch):
-    stats, tasks, _ = _prepare_usage_stats(tmp_path, monkeypatch)
+    stats, tasks, _, _ = _prepare_usage_stats(tmp_path, monkeypatch)
 
     metadata_payload = {
         "models": {},
@@ -294,3 +303,79 @@ async def test_usage_stats_skips_name_fallback_for_missing_lora_hash(tmp_path, m
     assert not any(key.startswith("name:") for key in stats.stats["loras"])
 
     await _finalize_usage_stats(tasks)
+
+
+async def test_usage_stats_migrates_from_old_location(tmp_path, monkeypatch):
+    settings_dir = tmp_path / "settings"
+    settings_dir.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module, "get_settings_dir", lambda create=True: str(settings_dir))
+    loras_root = tmp_path / "loras"
+    loras_root.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module.config, "loras_roots", [str(loras_root)])
+
+    old_data = {
+        "checkpoints": {},
+        "loras": {"lora-hash": {"total": 3, "history": {"2025-01-01": 3}}},
+        "embeddings": {},
+        "total_executions": 3,
+        "last_save_time": 100.0,
+    }
+    old_path = loras_root / UsageStats.STATS_FILENAME
+    old_path.write_text(json.dumps(old_data), encoding="utf-8")
+
+    created_tasks = []
+    real_create_task = usage_stats_module.asyncio.create_task
+
+    def _track_task(coro):
+        task = real_create_task(coro)
+        created_tasks.append(task)
+        return task
+
+    monkeypatch.setattr(usage_stats_module.asyncio, "create_task", _track_task)
+
+    stats = UsageStats()
+
+    new_path = settings_dir / "stats" / UsageStats.STATS_FILENAME
+    assert new_path.exists(), "Stats file should be migrated to new location"
+    assert not old_path.exists(), "Old stats file should be removed after migration"
+    assert stats.stats["total_executions"] == 3
+    assert stats.stats["loras"]["lora-hash"]["total"] == 3
+
+    await _finalize_usage_stats(created_tasks)
+
+
+async def test_usage_stats_uses_new_location_directly(tmp_path, monkeypatch):
+    settings_dir = tmp_path / "settings"
+    settings_dir.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module, "get_settings_dir", lambda create=True: str(settings_dir))
+    loras_root = tmp_path / "loras"
+    loras_root.mkdir(parents=True, exist_ok=True)
+    monkeypatch.setattr(usage_stats_module.config, "loras_roots", [str(loras_root)])
+
+    new_data = {
+        "checkpoints": {},
+        "loras": {},
+        "embeddings": {},
+        "total_executions": 7,
+        "last_save_time": 200.0,
+    }
+    new_path = settings_dir / "stats" / UsageStats.STATS_FILENAME
+    new_path.parent.mkdir(parents=True, exist_ok=True)
+    new_path.write_text(json.dumps(new_data), encoding="utf-8")
+
+    created_tasks = []
+    real_create_task = usage_stats_module.asyncio.create_task
+
+    def _track_task(coro):
+        task = real_create_task(coro)
+        created_tasks.append(task)
+        return task
+
+    monkeypatch.setattr(usage_stats_module.asyncio, "create_task", _track_task)
+
+    stats = UsageStats()
+
+    assert stats.stats["total_executions"] == 7
+    assert not loras_root.joinpath(UsageStats.STATS_FILENAME).exists()
+
+    await _finalize_usage_stats(created_tasks)

web/comfyui/workflow_registry.js

@@ -10,6 +10,13 @@ const LORA_NODE_CLASSES = new Set([
 
 const TARGET_WIDGET_NAMES = new Set(["ckpt_name", "unet_name"]);
 
+// Node classes whose "text" widget is a prompt text input (not LoRA syntax, notes, etc.)
+const TEXT_CAPABLE_CLASSES = new Set([
+    "Prompt (LoraManager)",
+    "Text (LoraManager)",
+    "CLIPTextEncode",
+]);
+
 app.registerExtension({
     name: "LoraManager.WorkflowRegistry",
 
@@ -41,8 +48,9 @@ app.registerExtension({
 
                 const supportsLora = LORA_NODE_CLASSES.has(node.comfyClass);
                 const hasTargetWidget = widgetNames.some((name) => TARGET_WIDGET_NAMES.has(name));
+                const hasTextWidget = TEXT_CAPABLE_CLASSES.has(node.comfyClass);
 
-                if (!supportsLora && !hasTargetWidget) {
+                if (!supportsLora && !hasTargetWidget && !hasTextWidget) {
                     continue;
                 }
 
@@ -65,6 +73,7 @@ app.registerExtension({
                     mode: node.mode,
                     capabilities: {
                         supports_lora: supportsLora,
+                        has_text_widget: hasTextWidget,
                         widget_names: widgetNames,
                     },
                 });
@@ -95,6 +104,7 @@ app.registerExtension({
         const graphId = message?.graph_id;
         const widgetName = message?.widget_name;
         const value = message?.value;
+        const mode = message?.mode ?? "replace";
 
         if (nodeId == null || !widgetName) {
             console.warn("LoRA Manager: invalid widget update payload", message);
@@ -127,15 +137,22 @@ app.registerExtension({
         }
 
         const widget = node.widgets[widgetIndex];
-        widget.value = value;
+        let newValue = value;
+
+        if (mode === "append") {
+            const separator = widget.value && widget.value.length > 0 ? " " : "";
+            newValue = widget.value + separator + value;
+        }
+
+        widget.value = newValue;
 
         if (Array.isArray(node.widgets_values) && node.widgets_values.length > widgetIndex) {
-            node.widgets_values[widgetIndex] = value;
+            node.widgets_values[widgetIndex] = newValue;
         }
 
         if (typeof widget.callback === "function") {
             try {
-                widget.callback(value);
+                widget.callback(newValue);
             } catch (callbackError) {
                 console.error("LoRA Manager: widget callback failed", callbackError);
             }