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v1.1.2
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@@ -1,153 +0,0 @@
|
||||
# Recipe Batch Import Feature Design
|
||||
|
||||
## Overview
|
||||
Enable users to import multiple images as recipes in a single operation, rather than processing them individually. This feature addresses the need for efficient bulk recipe creation from existing image collections.
|
||||
|
||||
## Architecture
|
||||
|
||||
```
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ Frontend │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ BatchImportManager.js │
|
||||
│ ├── InputCollector (收集URL列表/目录路径) │
|
||||
│ ├── ConcurrencyController (自适应并发控制) │
|
||||
│ ├── ProgressTracker (进度追踪) │
|
||||
│ └── ResultAggregator (结果汇总) │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ batch_import_modal.html │
|
||||
│ └── 批量导入UI组件 │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ batch_import_progress.css │
|
||||
│ └── 进度显示样式 │
|
||||
└─────────────────────────────────────────────────────────────────┘
|
||||
│
|
||||
▼
|
||||
┌─────────────────────────────────────────────────────────────────┐
|
||||
│ Backend │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ py/routes/handlers/recipe_handlers.py │
|
||||
│ ├── start_batch_import() - 启动批量导入 │
|
||||
│ ├── get_batch_import_progress() - 查询进度 │
|
||||
│ └── cancel_batch_import() - 取消导入 │
|
||||
├─────────────────────────────────────────────────────────────────┤
|
||||
│ py/services/batch_import_service.py │
|
||||
│ ├── 自适应并发执行 │
|
||||
│ ├── 结果汇总 │
|
||||
│ └── WebSocket进度广播 │
|
||||
└─────────────────────────────────────────────────────────────────┘
|
||||
```
|
||||
|
||||
## API Endpoints
|
||||
|
||||
| 端点 | 方法 | 说明 |
|
||||
|------|------|------|
|
||||
| `/api/lm/recipes/batch-import/start` | POST | 启动批量导入,返回 operation_id |
|
||||
| `/api/lm/recipes/batch-import/progress` | GET | 查询进度状态 |
|
||||
| `/api/lm/recipes/batch-import/cancel` | POST | 取消导入 |
|
||||
|
||||
## Backend Implementation Details
|
||||
|
||||
### BatchImportService
|
||||
|
||||
Location: `py/services/batch_import_service.py`
|
||||
|
||||
Key classes:
|
||||
- `BatchImportItem`: Dataclass for individual import item
|
||||
- `BatchImportProgress`: Dataclass for tracking progress
|
||||
- `BatchImportService`: Main service class
|
||||
|
||||
Features:
|
||||
- Adaptive concurrency control (adjusts based on success/failure rate)
|
||||
- WebSocket progress broadcasting
|
||||
- Graceful error handling (individual failures don't stop the batch)
|
||||
- Result aggregation
|
||||
|
||||
### WebSocket Message Format
|
||||
|
||||
```json
|
||||
{
|
||||
"type": "batch_import_progress",
|
||||
"operation_id": "xxx",
|
||||
"total": 50,
|
||||
"completed": 23,
|
||||
"success": 21,
|
||||
"failed": 2,
|
||||
"skipped": 0,
|
||||
"current_item": "image_024.png",
|
||||
"status": "running"
|
||||
}
|
||||
```
|
||||
|
||||
### Input Types
|
||||
|
||||
1. **URL List**: Array of URLs (http/https)
|
||||
2. **Local Paths**: Array of local file paths
|
||||
3. **Directory**: Path to directory with optional recursive flag
|
||||
|
||||
### Error Handling
|
||||
|
||||
- Invalid URLs/paths: Skip and record error
|
||||
- Download failures: Record error, continue
|
||||
- Metadata extraction failures: Mark as "no metadata"
|
||||
- Duplicate detection: Option to skip duplicates
|
||||
|
||||
## Frontend Implementation Details (TODO)
|
||||
|
||||
### UI Components
|
||||
|
||||
1. **BatchImportModal**: Main modal with tabs for URLs/Directory input
|
||||
2. **ProgressDisplay**: Real-time progress bar and status
|
||||
3. **ResultsSummary**: Final results with success/failure breakdown
|
||||
|
||||
### Adaptive Concurrency Controller
|
||||
|
||||
```javascript
|
||||
class AdaptiveConcurrencyController {
|
||||
constructor(options = {}) {
|
||||
this.minConcurrency = options.minConcurrency || 1;
|
||||
this.maxConcurrency = options.maxConcurrency || 5;
|
||||
this.currentConcurrency = options.initialConcurrency || 3;
|
||||
}
|
||||
|
||||
adjustConcurrency(taskDuration, success) {
|
||||
if (success && taskDuration < 1000 && this.currentConcurrency < this.maxConcurrency) {
|
||||
this.currentConcurrency = Math.min(this.currentConcurrency + 1, this.maxConcurrency);
|
||||
}
|
||||
if (!success || taskDuration > 10000) {
|
||||
this.currentConcurrency = Math.max(this.currentConcurrency - 1, this.minConcurrency);
|
||||
}
|
||||
return this.currentConcurrency;
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## File Structure
|
||||
|
||||
```
|
||||
Backend (implemented):
|
||||
├── py/services/batch_import_service.py # 后端服务
|
||||
├── py/routes/handlers/batch_import_handler.py # API处理器 (added to recipe_handlers.py)
|
||||
├── tests/services/test_batch_import_service.py # 单元测试
|
||||
└── tests/routes/test_batch_import_routes.py # API集成测试
|
||||
|
||||
Frontend (TODO):
|
||||
├── static/js/managers/BatchImportManager.js # 主管理器
|
||||
├── static/js/managers/batch/ # 子模块
|
||||
│ ├── ConcurrencyController.js # 并发控制
|
||||
│ ├── ProgressTracker.js # 进度追踪
|
||||
│ └── ResultAggregator.js # 结果汇总
|
||||
├── static/css/components/batch-import-modal.css # 样式
|
||||
└── templates/components/batch_import_modal.html # Modal模板
|
||||
```
|
||||
|
||||
## Implementation Status
|
||||
|
||||
- [x] Backend BatchImportService
|
||||
- [x] Backend API handlers
|
||||
- [x] WebSocket progress broadcasting
|
||||
- [x] Unit tests
|
||||
- [x] Integration tests
|
||||
- [ ] Frontend BatchImportManager
|
||||
- [ ] Frontend UI components
|
||||
- [ ] E2E tests
|
||||
@@ -19,6 +19,7 @@ model_cache/
|
||||
.codex
|
||||
.omo
|
||||
reasonix.toml
|
||||
.reasonix/
|
||||
.codegraph/
|
||||
|
||||
# Vue widgets development cache (but keep build output)
|
||||
@@ -28,3 +29,6 @@ vue-widgets/dist/
|
||||
|
||||
# Hypothesis test cache
|
||||
.hypothesis/
|
||||
|
||||
# Working/research notes (not committed)
|
||||
.docs/
|
||||
|
||||
+175
-159
@@ -12,31 +12,40 @@
|
||||
"2018cfh",
|
||||
"Arlecchino Shion",
|
||||
"Rob Williams",
|
||||
"Charles Blakemore",
|
||||
"W+K+White",
|
||||
"$MetaSamsara",
|
||||
"wackop",
|
||||
"Phil",
|
||||
"Carl G.",
|
||||
"Charles Blakemore",
|
||||
"stone9k",
|
||||
"Rosenthal",
|
||||
"Francisco Tatis",
|
||||
"Polymorphic Indeterminate",
|
||||
"Skalabananen",
|
||||
"Marc Whiffen",
|
||||
"Birdy",
|
||||
"itismyelement",
|
||||
"Mozzel",
|
||||
"Gingko Biloba",
|
||||
"Kiba",
|
||||
"Reno Lam",
|
||||
"onesecondinosaur",
|
||||
"sig",
|
||||
"Christian Byrne",
|
||||
"DM",
|
||||
"Sen314",
|
||||
"Estragon",
|
||||
"Rosenthal",
|
||||
"J\\B/ 8r0wns0n",
|
||||
"ClockDaemon",
|
||||
"Francisco Tatis",
|
||||
"Tobi_Swagg",
|
||||
"SG",
|
||||
"zenbound",
|
||||
"jmack",
|
||||
"Andrew Wilson",
|
||||
"Greybush",
|
||||
"Ricky Carter",
|
||||
"James Todd",
|
||||
"JongWon Han",
|
||||
"VantAI",
|
||||
"レプサイ",
|
||||
@@ -47,6 +56,7 @@
|
||||
"JackieWang",
|
||||
"FreelancerZ",
|
||||
"fnkylove",
|
||||
"Vik71it",
|
||||
"Echo",
|
||||
"Lilleman",
|
||||
"Robert Stacey",
|
||||
@@ -54,19 +64,14 @@
|
||||
"Edgar Tejeda",
|
||||
"Fraser Cross",
|
||||
"Liam MacDougal",
|
||||
"Polymorphic Indeterminate",
|
||||
"Sterilized",
|
||||
"JORGE+LUIZ+HUSSNI+MESSIAS",
|
||||
"Marc Whiffen",
|
||||
"Skalabananen",
|
||||
"Birdy",
|
||||
"quarz",
|
||||
"Reno Lam",
|
||||
"Greg",
|
||||
"JSST",
|
||||
"sig",
|
||||
"J\\B/ 8r0wns0n",
|
||||
"Snaggwort",
|
||||
"Takkan",
|
||||
"wfpearl",
|
||||
"Matt+J",
|
||||
"Baekdoosixt",
|
||||
"Jonathan Ross",
|
||||
@@ -80,11 +85,13 @@
|
||||
"Release Cabrakan",
|
||||
"JW Sin",
|
||||
"Alex",
|
||||
"bh",
|
||||
"carozzz",
|
||||
"Marlon Daniels",
|
||||
"James Dooley",
|
||||
"zenbound",
|
||||
"Buzzard",
|
||||
"Aaron Bleuer",
|
||||
"LacesOut!",
|
||||
"Adam Shaw",
|
||||
"Mark Corneglio",
|
||||
"SarcasticHashtag",
|
||||
@@ -92,22 +99,24 @@
|
||||
"iamresist",
|
||||
"RedrockVP",
|
||||
"Wolffen",
|
||||
"James Todd",
|
||||
"Wicked Choices by ASLPro3D",
|
||||
"Jacob Hoehler",
|
||||
"FinalyFree",
|
||||
"Weasyl",
|
||||
"Steven Pfeiffer",
|
||||
"Timmy",
|
||||
"Johnny",
|
||||
"Cory Paza",
|
||||
"Tak",
|
||||
"Lisster",
|
||||
"Big Red",
|
||||
"whudunit",
|
||||
"Luc Job",
|
||||
"dl0901dm",
|
||||
"Philip Hempel",
|
||||
"corde",
|
||||
"Nick Walker",
|
||||
"nwalker94",
|
||||
"Yushio",
|
||||
"Vik71it",
|
||||
"Bishoujoker",
|
||||
"Todd Keck",
|
||||
"Briton Heilbrun",
|
||||
@@ -117,64 +126,68 @@
|
||||
"AM Kuro",
|
||||
"BadassArabianMofo",
|
||||
"Pascal Dahle",
|
||||
"Greg",
|
||||
"Sangheili460",
|
||||
"MagnaInsomnia",
|
||||
"Akira_HentAI",
|
||||
"Karl P.",
|
||||
"lmsupporter",
|
||||
"andrew.tappan",
|
||||
"N/A",
|
||||
"graysock",
|
||||
"Greenmoustache",
|
||||
"zounic",
|
||||
"wfpearl",
|
||||
"fancypants",
|
||||
"Eldithor",
|
||||
"Jack B Nimble",
|
||||
"JaxMax",
|
||||
"contrite831",
|
||||
"bh",
|
||||
"Jwk0205",
|
||||
"Starkselle",
|
||||
"Olive",
|
||||
"Aaron Bleuer",
|
||||
"LacesOut!",
|
||||
"greebles",
|
||||
"Some Guy Named Barry",
|
||||
"M Postkasse",
|
||||
"AELOX",
|
||||
"Gooohokrbe",
|
||||
"Nicfit23",
|
||||
"wamekukyouzin",
|
||||
"OldBones",
|
||||
"Jacob Hoehler",
|
||||
"drum matthieu",
|
||||
"Dogmaster",
|
||||
"Matt Wenzel",
|
||||
"Weasyl",
|
||||
"Lex Song",
|
||||
"Cory Paza",
|
||||
"Christopher Michel",
|
||||
"Gonzalo Andre Allendes Lopez",
|
||||
"Zach Gonser",
|
||||
"Serge Bekenkamp",
|
||||
"Jimmy Ledbetter",
|
||||
"Philip Hempel",
|
||||
"LeoZero",
|
||||
"Dustin Chen",
|
||||
"dan",
|
||||
"aai",
|
||||
"Mouthlessman",
|
||||
"otaku fra",
|
||||
"jean jahren",
|
||||
"MiraiKuriyamaSy",
|
||||
"Ran C",
|
||||
"ViperC",
|
||||
"Penfore",
|
||||
"Sangheili460",
|
||||
"MagnaInsomnia",
|
||||
"Karl P.",
|
||||
"Gordon Cole",
|
||||
"Adam Taylor",
|
||||
"AbstractAss",
|
||||
"Weird_With_A_Beard",
|
||||
"N/A",
|
||||
"The Spawn",
|
||||
"graysock",
|
||||
"Pozadine1",
|
||||
"Qarob",
|
||||
"AIGooner",
|
||||
"Luc",
|
||||
"ProtonPrince",
|
||||
"DiffDuck",
|
||||
"elu3199",
|
||||
"Hasturkun",
|
||||
"Jon Sandman",
|
||||
"Ubivis",
|
||||
"Jackthemind",
|
||||
"fancypants",
|
||||
"Joboshy",
|
||||
"Digital",
|
||||
"takyamtom",
|
||||
@@ -183,24 +196,20 @@
|
||||
"Bro Xie",
|
||||
"yer fey",
|
||||
"batblue",
|
||||
"Error_Rule34_Not_found",
|
||||
"carey6409",
|
||||
"太郎 ゲーム",
|
||||
"Roslynd",
|
||||
"jinxedx",
|
||||
"Neco28",
|
||||
"Cosmosis",
|
||||
"AELOX",
|
||||
"David Ortega",
|
||||
"Dankin",
|
||||
"Nicfit23",
|
||||
"FloPro4Sho",
|
||||
"Cristian Vazquez",
|
||||
"wamekukyouzin",
|
||||
"drum matthieu",
|
||||
"Dogmaster",
|
||||
"Frank Nitty",
|
||||
"Magic Noob",
|
||||
"Christopher Michel",
|
||||
"DougPeterson",
|
||||
"LeoZero",
|
||||
"Antonio Pontes",
|
||||
"ApathyJones",
|
||||
"Bruce",
|
||||
@@ -208,19 +217,14 @@
|
||||
"Steven Owens",
|
||||
"nahinahi9",
|
||||
"Kevin John Duck",
|
||||
"Dustin Chen",
|
||||
"Kevin Christopher",
|
||||
"Blackfish95",
|
||||
"Mouthlessman",
|
||||
"Paul Kroll",
|
||||
"Bas Imagineer",
|
||||
"John Statham",
|
||||
"yuxz69",
|
||||
"esthe",
|
||||
"decoy",
|
||||
"elu3199",
|
||||
"Hasturkun",
|
||||
"Jon Sandman",
|
||||
"Ubivis",
|
||||
"CloudValley",
|
||||
"thesoftwaredruid",
|
||||
"wundershark",
|
||||
@@ -232,52 +236,57 @@
|
||||
"MJG",
|
||||
"David LaVallee",
|
||||
"linnfrey",
|
||||
"ae",
|
||||
"Tr4shP4nda",
|
||||
"capn",
|
||||
"Joseph",
|
||||
"IamAyam",
|
||||
"skaterb949",
|
||||
"Brian M",
|
||||
"Josef Lanzl",
|
||||
"Nerezza",
|
||||
"sanborondon",
|
||||
"confiscated Zyra",
|
||||
"Error_Rule34_Not_found",
|
||||
"Taylor Funk",
|
||||
"aezin",
|
||||
"Thought2Form",
|
||||
"jcay015",
|
||||
"Gerald Welly",
|
||||
"Kevin Picco",
|
||||
"Erik Lopez",
|
||||
"Mateo Curić",
|
||||
"Tee Gee",
|
||||
"Geolog",
|
||||
"tarek helmi",
|
||||
"Neco28",
|
||||
"Eris3D",
|
||||
"Max Marklund",
|
||||
"David Ortega",
|
||||
"m",
|
||||
"Pronredn",
|
||||
"Jamie Ogletree",
|
||||
"a _",
|
||||
"Jeff",
|
||||
"lh qwe",
|
||||
"James Coleman",
|
||||
"conner",
|
||||
"Kevin Christopher",
|
||||
"Ouro Boros",
|
||||
"Chad Idk",
|
||||
"dd",
|
||||
"Princess Bright Eyes",
|
||||
"Yuji Kaneko",
|
||||
"Dušan Ryban",
|
||||
"Felipe dos Santos",
|
||||
"Sam",
|
||||
"sjon kreutz",
|
||||
"Ace Ventura",
|
||||
"Douglas Gaspar",
|
||||
"Metryman55",
|
||||
"AlexDuKaNa",
|
||||
"George",
|
||||
"dw",
|
||||
"地獄の禄",
|
||||
"ae",
|
||||
"Tr4shP4nda",
|
||||
"Gamalonia",
|
||||
"WRL_SPR",
|
||||
"capn",
|
||||
"Joseph",
|
||||
"momokai",
|
||||
"Mirko Katzula",
|
||||
"dan",
|
||||
"Piccio08",
|
||||
@@ -289,58 +298,11 @@
|
||||
"Hailshem",
|
||||
"kudari",
|
||||
"Naomi Hale Danchi",
|
||||
"ken",
|
||||
"epicgamer0020690",
|
||||
"Joshua Porrata",
|
||||
"SuBu",
|
||||
"Richard",
|
||||
"奚明 刘",
|
||||
"Andrew",
|
||||
"Brian M",
|
||||
"Robert Wegemund",
|
||||
"Littlehuggy",
|
||||
"준희 김",
|
||||
"Brian Buie",
|
||||
"Thought2Form",
|
||||
"Kevin Picco",
|
||||
"Sadlip",
|
||||
"Tomohiro Baba",
|
||||
"m",
|
||||
"Noora",
|
||||
"Pierce McBride",
|
||||
"Joshua Gray",
|
||||
"Mattssn",
|
||||
"Mikko Hemilä",
|
||||
"Jacob McDaniel",
|
||||
"Jamie Ogletree",
|
||||
"Temikus",
|
||||
"Artokun",
|
||||
"Michael Taylor",
|
||||
"Martial",
|
||||
"Michael Anthony Scott",
|
||||
"Emil Andersson",
|
||||
"Ouro Boros",
|
||||
"Atilla Berke Pekduyar",
|
||||
"Steam Steam",
|
||||
"CryptoTraderJK",
|
||||
"Decx _",
|
||||
"Yuji Kaneko",
|
||||
"Davaitamin",
|
||||
"Rops Alot",
|
||||
"tedcor",
|
||||
"Fotek Design",
|
||||
"Ace Ventura",
|
||||
"四糸凜音",
|
||||
"Nihongasuki",
|
||||
"LarsesFPC",
|
||||
"MadSpin",
|
||||
"inbijiburu",
|
||||
"Nick “Loadstone” D",
|
||||
"momokai",
|
||||
"starbugx",
|
||||
"dc7431",
|
||||
"ken",
|
||||
"Crocket",
|
||||
"keemun",
|
||||
"SuBu",
|
||||
"RedPIXel",
|
||||
"Wind",
|
||||
"Nexus",
|
||||
@@ -351,6 +313,51 @@
|
||||
"kyoumei",
|
||||
"RadStorm04",
|
||||
"JohnDoe42054",
|
||||
"gzmzmvp",
|
||||
"Richard",
|
||||
"奚明 刘",
|
||||
"Andrew",
|
||||
"Robert Wegemund",
|
||||
"Littlehuggy",
|
||||
"준희 김",
|
||||
"Brian Buie",
|
||||
"Sadlip",
|
||||
"Eric Whitney",
|
||||
"Joey Callahan",
|
||||
"Ivan Tadic",
|
||||
"Tomohiro Baba",
|
||||
"Mike Simone",
|
||||
"Noora",
|
||||
"Pierce McBride",
|
||||
"Joshua Gray",
|
||||
"Mattssn",
|
||||
"Mikko Hemilä",
|
||||
"Jacob McDaniel",
|
||||
"Temikus",
|
||||
"Artokun",
|
||||
"Michael Taylor",
|
||||
"Derek Baker",
|
||||
"Martial",
|
||||
"Michael Anthony Scott",
|
||||
"Emil Andersson",
|
||||
"Atilla Berke Pekduyar",
|
||||
"Steam Steam",
|
||||
"CryptoTraderJK",
|
||||
"Decx _",
|
||||
"Davaitamin",
|
||||
"Rops Alot",
|
||||
"tedcor",
|
||||
"Fotek Design",
|
||||
"四糸凜音",
|
||||
"Nihongasuki",
|
||||
"LarsesFPC",
|
||||
"MadSpin",
|
||||
"FrxzenSnxw",
|
||||
"inbijiburu",
|
||||
"Nick “Loadstone” D",
|
||||
"starbugx",
|
||||
"dc7431",
|
||||
"Crocket",
|
||||
"BillyHill",
|
||||
"emyth",
|
||||
"chriphost",
|
||||
@@ -370,32 +377,37 @@
|
||||
"Vir",
|
||||
"Skyfire83",
|
||||
"Adam Rinehart",
|
||||
"gzmzmvp",
|
||||
"Pitpe11",
|
||||
"TheD1rtyD03",
|
||||
"moonpetal",
|
||||
"g9p0o",
|
||||
"TheHolySheep",
|
||||
"Monte Won",
|
||||
"Gregory Kozhemiak",
|
||||
"Draven T",
|
||||
"mrjuan",
|
||||
"Eric Whitney",
|
||||
"Joey Callahan",
|
||||
"elleshar666",
|
||||
"Aquatic Coffee",
|
||||
"Ivan Tadic",
|
||||
"Mike Simone",
|
||||
"John J Linehan",
|
||||
"ethanfel",
|
||||
"Elliot E",
|
||||
"Morgandel",
|
||||
"Theerat Jiramate",
|
||||
"Focuschannel",
|
||||
"Edward Kennedy",
|
||||
"Noah",
|
||||
"X",
|
||||
"Sloan Steddy",
|
||||
"Vane Holzer",
|
||||
"hexxish",
|
||||
"Derek Baker",
|
||||
"Anthony Faxlandez",
|
||||
"battu",
|
||||
"notedfakes",
|
||||
"Nathan",
|
||||
"NICHOLAS BAXLEY",
|
||||
"Pat Hen",
|
||||
"Xeeosat",
|
||||
"Saya",
|
||||
"Ed Wang",
|
||||
"Jordan Shaw",
|
||||
"g unit",
|
||||
@@ -403,26 +415,24 @@
|
||||
"JC",
|
||||
"Prompt Pirate",
|
||||
"uwutismxd",
|
||||
"FrxzenSnxw",
|
||||
"zenobeus",
|
||||
"ryoma",
|
||||
"Whitepinetrader",
|
||||
"Stryker",
|
||||
"Ginnie",
|
||||
"Raku",
|
||||
"smart.edge5178",
|
||||
"Menard",
|
||||
"Pitpe11",
|
||||
"TheD1rtyD03",
|
||||
"moonpetal",
|
||||
"SomeDude",
|
||||
"g9p0o",
|
||||
"Pkrsky",
|
||||
"TheHolySheep",
|
||||
"nanana",
|
||||
"raf8osz",
|
||||
"Monte Won",
|
||||
"SpringBootisTrash",
|
||||
"carsten",
|
||||
"ikok",
|
||||
"Doug+Rintoul",
|
||||
"Noor",
|
||||
"Yorunai",
|
||||
"quantenmecha",
|
||||
"Jason+Nash",
|
||||
"DarkRoast",
|
||||
@@ -440,23 +450,22 @@
|
||||
"blikkies",
|
||||
"Chris",
|
||||
"Time Valentine",
|
||||
"elleshar666",
|
||||
"Shock Shockor",
|
||||
"ACTUALLY_the_Real_Willem_Dafoe",
|
||||
"Михал Михалыч",
|
||||
"Matt",
|
||||
"Goldwaters",
|
||||
"Kauffy",
|
||||
"Zude",
|
||||
"SPJ",
|
||||
"Kyler",
|
||||
"Edward Kennedy",
|
||||
"Justin Blaylock",
|
||||
"aRtFuL_DodGeR",
|
||||
"Nick Kage",
|
||||
"Vane Holzer",
|
||||
"psytrax",
|
||||
"Cyrus Fett",
|
||||
"Xenon Xue",
|
||||
"notedfakes",
|
||||
"Edward Ten Eyck",
|
||||
"Billy Gladky",
|
||||
"Michael Scott",
|
||||
"Probis",
|
||||
@@ -465,9 +474,9 @@
|
||||
"ItsGeneralButtNaked",
|
||||
"Donor4115",
|
||||
"Distortik",
|
||||
"Manu Thetug",
|
||||
"Filippo Ferrari",
|
||||
"Youguang",
|
||||
"Saya",
|
||||
"andrewzpong",
|
||||
"BossGame",
|
||||
"lrdchs",
|
||||
@@ -476,9 +485,12 @@
|
||||
"AIVORY3D",
|
||||
"Kevinj",
|
||||
"Mitchell Robson",
|
||||
"Whitepinetrader",
|
||||
"POPPIN",
|
||||
"nanana",
|
||||
"G",
|
||||
"Tan+Huynh",
|
||||
"Bob+Barker",
|
||||
"D",
|
||||
"Dark_Pest",
|
||||
"Alex",
|
||||
"Karru",
|
||||
"ChaChanoKo",
|
||||
@@ -493,9 +505,6 @@
|
||||
"Alan+Cano",
|
||||
"FeralOpticsAI",
|
||||
"Pavlaki",
|
||||
"Doug+Rintoul",
|
||||
"Noor",
|
||||
"Yorunai",
|
||||
"BillyBoy84",
|
||||
"Buecyb99",
|
||||
"Welkor",
|
||||
@@ -504,25 +513,30 @@
|
||||
"JBsuede",
|
||||
"moranqianlong",
|
||||
"Kalli Core",
|
||||
"Ronan Delevacq",
|
||||
"Christian Schäfer",
|
||||
"りん あめ",
|
||||
"Matt",
|
||||
"Dave Abraham",
|
||||
"Joaquin Hierrezuelo",
|
||||
"Locrospiel",
|
||||
"Frogmilk",
|
||||
"SPJ",
|
||||
"Sean voets",
|
||||
"Kor",
|
||||
"Joseph Hanson",
|
||||
"John Rednoulf",
|
||||
"Kyron Mahan",
|
||||
"Bryan Rutkowski",
|
||||
"Boba Smith",
|
||||
"TBitz33",
|
||||
"Anonym dkjglfleeoeldldldlkf",
|
||||
"Ezokewn",
|
||||
"SendingRavens",
|
||||
"Sauv",
|
||||
"Steven",
|
||||
"JackJohnnyJim",
|
||||
"TenaciousD",
|
||||
"Dmitry Ryzhov",
|
||||
"Khánh Đặng",
|
||||
"Edward Ten Eyck",
|
||||
"Michael Docherty",
|
||||
"Jimmy Borup",
|
||||
"Paul Hartsuyker",
|
||||
@@ -533,7 +547,6 @@
|
||||
"jinksta187",
|
||||
"RHopkirk",
|
||||
"Andrew Wilkinson",
|
||||
"Manu Thetug",
|
||||
"Karlanx",
|
||||
"Lyavph",
|
||||
"Maxim",
|
||||
@@ -558,6 +571,18 @@
|
||||
"Scott",
|
||||
"Muratoraccio",
|
||||
"D",
|
||||
"SAVEagleBasement",
|
||||
"Kevin+Isom",
|
||||
"Rune+Osnes",
|
||||
"you+halo9",
|
||||
"cloudghost",
|
||||
"Yongkwan+Lee",
|
||||
"PoorStudent",
|
||||
"lucites",
|
||||
"Alex+Zaw",
|
||||
"Mobius2020",
|
||||
"ExLightSaber",
|
||||
"YaboiRay",
|
||||
"nickname",
|
||||
"Sildoren",
|
||||
"Darv",
|
||||
@@ -581,49 +606,40 @@
|
||||
"Flob",
|
||||
"ShiroSenpai",
|
||||
"Inkognito",
|
||||
"G",
|
||||
"Tan+Huynh",
|
||||
"D",
|
||||
"Dark_Pest",
|
||||
"Jacky+Ho",
|
||||
"generic404",
|
||||
"abattoirblues",
|
||||
"zounik",
|
||||
"4IXplr0r3r",
|
||||
"hayden",
|
||||
"Obsidian.Studios",
|
||||
"ahoystan",
|
||||
"Bob Barker",
|
||||
"edk",
|
||||
"Tú Nguyễn Lý Hoàng",
|
||||
"shira1011",
|
||||
"Ben D",
|
||||
"G",
|
||||
"Ronan Delevacq",
|
||||
"ja s",
|
||||
"Leslie Andrew Ridings",
|
||||
"Doug Mason",
|
||||
"Jeremy Townsend",
|
||||
"Dave Abraham",
|
||||
"Joaquin Hierrezuelo",
|
||||
"Sean voets",
|
||||
"scoreswazey",
|
||||
"Owen Gwosdz",
|
||||
"Jarrid Lee",
|
||||
"Poophead27 Blyat",
|
||||
"John Rednoulf",
|
||||
"Spire",
|
||||
"Mythspire",
|
||||
"AZ Party Oasis",
|
||||
"Boba Smith",
|
||||
"Devil Lude",
|
||||
"David Murcko",
|
||||
"MR.Bear",
|
||||
"Jack Dole",
|
||||
"matt",
|
||||
"somethingtosay8",
|
||||
"Terminuz",
|
||||
"ivistorm",
|
||||
"max blo",
|
||||
"Sauv",
|
||||
"Steven",
|
||||
"CptNeo",
|
||||
"Jack Lawfield",
|
||||
"Borte",
|
||||
"Maso",
|
||||
"Ted Cart",
|
||||
"Sage Himeros",
|
||||
@@ -637,11 +653,13 @@
|
||||
"SkibidiRizzler",
|
||||
"Tania Nayelli Fernandez",
|
||||
"Draconach",
|
||||
"Kalle Björk",
|
||||
"Yavizu3d",
|
||||
"Yves Poezevara",
|
||||
"Teriak47",
|
||||
"Just me",
|
||||
"Raf Stahelin",
|
||||
"Nacho Ferrando",
|
||||
"Вячеслав Маринин",
|
||||
"Marcos Tortosa Carmona",
|
||||
"Dkommander22",
|
||||
@@ -688,6 +706,12 @@
|
||||
"SelfishMedic",
|
||||
"adderleighn",
|
||||
"EnragedAntelope",
|
||||
"thomasand01",
|
||||
"Shiba+Sama",
|
||||
"miduzza",
|
||||
"KB",
|
||||
"shw",
|
||||
"Celestial+Kitten",
|
||||
"bakeliteboy",
|
||||
"TequiTequi",
|
||||
"Homero+Banda",
|
||||
@@ -708,24 +732,12 @@
|
||||
"imer",
|
||||
"Akkas+Haque",
|
||||
"Kachac",
|
||||
"tyrant2811",
|
||||
"Kevin",
|
||||
"Rune+Osnes",
|
||||
"jcx29",
|
||||
"cloudghost",
|
||||
"Yongkwan+Lee",
|
||||
"PoorStudent",
|
||||
"lucites",
|
||||
"Alex+Zaw",
|
||||
"Mobius2020",
|
||||
"ExLightSaber",
|
||||
"YaboiRay",
|
||||
"Drizzly",
|
||||
"Nebuleux",
|
||||
"Join+Chun",
|
||||
"GDS+DEV",
|
||||
"4rt+r3d",
|
||||
"you+halo9",
|
||||
"Somebody",
|
||||
"Somebody",
|
||||
"Crescent~San",
|
||||
@@ -738,13 +750,13 @@
|
||||
"Bula",
|
||||
"KUJYAKU",
|
||||
"Coeur+de+cochon",
|
||||
"Obsidian.Studios",
|
||||
"han b",
|
||||
"Zomba Mann",
|
||||
"Aquaneo",
|
||||
"Nico",
|
||||
"Maximilian Krischan",
|
||||
"Banana Joe",
|
||||
"proto merp",
|
||||
"_ G3n",
|
||||
"Donovan Jenkins",
|
||||
"Hans Meier",
|
||||
@@ -763,9 +775,13 @@
|
||||
"Seraphy",
|
||||
"雨の心 落",
|
||||
"AllTimeNoobie",
|
||||
"swra",
|
||||
"JollRodrigo",
|
||||
"jumpd",
|
||||
"John C",
|
||||
"Rim",
|
||||
"Oliverfish",
|
||||
"yfx507",
|
||||
"Room Light",
|
||||
"Jairus Knudsen",
|
||||
"Xan Dionysus",
|
||||
@@ -783,23 +799,23 @@
|
||||
"TheFusion",
|
||||
"Jean-françois SEMA",
|
||||
"3zS4QNQ4",
|
||||
"Terminuz",
|
||||
"Kurt",
|
||||
"Matt M.",
|
||||
"Ivan Imes",
|
||||
"J M",
|
||||
"Slacks",
|
||||
"Bouya shaka",
|
||||
"john Greene",
|
||||
"Faburizu",
|
||||
"Jack Lawfield",
|
||||
"jimyjomson",
|
||||
"Borte",
|
||||
"JaeHyun Jang",
|
||||
"Homero Banda",
|
||||
"Chase Kwon",
|
||||
"Bob Ling",
|
||||
"yyuvuvu",
|
||||
"Inyoshu",
|
||||
"Chad Barnes",
|
||||
"Person Y",
|
||||
"Adam Gardner",
|
||||
"Nomki",
|
||||
"inusanorthcape",
|
||||
"James Ming",
|
||||
@@ -821,5 +837,5 @@
|
||||
"Somebody",
|
||||
"CK"
|
||||
],
|
||||
"totalCount": 818
|
||||
"totalCount": 834
|
||||
}
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "Verwendungsanzahl"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} Versionen",
|
||||
"viewAllVersions": "Alle lokalen Versionen anzeigen"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "Ausgeschlossene Modelle verwalten"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "Nach Modell gruppieren"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "Statistiken"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "Suchen...",
|
||||
"placeholders": {
|
||||
"loras": "LoRAs suchen...",
|
||||
"recipes": "Rezepte suchen...",
|
||||
"checkpoints": "Checkpoints suchen...",
|
||||
"embeddings": "Embeddings suchen..."
|
||||
},
|
||||
"placeholder": "Suchen",
|
||||
"options": "Suchoptionen",
|
||||
"searchIn": "Suchen in:",
|
||||
"notAvailable": "Suche auf Statistikseite nicht verfügbar",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "Theme wechseln",
|
||||
"switchToLight": "Zu hellem Theme wechseln",
|
||||
"switchToDark": "Zu dunklem Theme wechseln",
|
||||
"switchToAuto": "Zu automatischem Theme wechseln"
|
||||
"switchToAuto": "Zu automatischem Theme wechseln",
|
||||
"presets": "Theme-Voreinstellungen",
|
||||
"default": "Standard",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "Modus",
|
||||
"light": "Hell",
|
||||
"dark": "Dunkel",
|
||||
"auto": "Auto"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "Updates prüfen",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Civitai API Key",
|
||||
"civitaiApiKeyPlaceholder": "Geben Sie Ihren Civitai API Key ein",
|
||||
"civitaiApiKeyHelp": "Wird für die Authentifizierung beim Herunterladen von Modellen von Civitai verwendet",
|
||||
"civitaiApiKeyConfigured": "Konfiguriert",
|
||||
"civitaiApiKeyNotConfigured": "Nicht konfiguriert",
|
||||
"civitaiApiKeySet": "Einrichten",
|
||||
"civitaiHost": {
|
||||
"label": "Civitai-Host",
|
||||
"help": "Wählen Sie aus, welche Civitai-Seite geöffnet wird, wenn Sie „View on Civitai“-Links verwenden.",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "Downloads",
|
||||
"videoSettings": "Video-Einstellungen",
|
||||
"layoutSettings": "Layout-Einstellungen",
|
||||
"licenseIcons": "Lizenzsymbole",
|
||||
"misc": "Verschiedenes",
|
||||
"backup": "Backups",
|
||||
"folderSettings": "Standard-Roots",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "Zusätzliche Ordnerpfade",
|
||||
"downloadPathTemplates": "Download-Pfad-Vorlagen",
|
||||
"priorityTags": "Prioritäts-Tags",
|
||||
"updateFlags": "Update-Markierungen",
|
||||
"versionScope": "Update-Markierungen",
|
||||
"exampleImages": "Beispielbilder",
|
||||
"autoOrganize": "Auto-Organisierung",
|
||||
"metadata": "Metadaten",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "Wenn aktiviert, überspringt LoRA Manager den Download einer Modellversion, wenn der Download-Verlaufsdienst diese spezifische Version als bereits heruntergeladen erfasst hat. Gilt für alle Download-Abläufe."
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "Nach Modell gruppieren",
|
||||
"groupByModelHelp": "Wenn aktiviert, wird nur die neueste Version jedes Civitai-Modells als einzelne Karte angezeigt. Ältere Versionen werden ausgeblendet.",
|
||||
"displayDensity": "Anzeige-Dichte",
|
||||
"displayDensityOptions": {
|
||||
"default": "Standard",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "Herunterladen",
|
||||
"restartRequired": "Neustart erforderlich"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "Strategie für Update-Markierungen",
|
||||
"help": "Entscheide, ob Update-Badges nur dann erscheinen, wenn eine neue Version dasselbe Basismodell wie deine lokalen Dateien verwendet, oder sobald es irgendein neueres Release für dieses Modell gibt.",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "Früher Zugriff Updates ausblenden",
|
||||
"help": "Nur Early-Access-Updates"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "Aktualisierte Lizenzsymbole verwenden",
|
||||
"useNewStyleHelp": "Lizenzberechtigungen mit farbigen Indikatoren (neuer Stil) oder nur Einschränkungssymbolen (klassischer Stil) anzeigen. Orientiert sich am aktuellen CivitAI-Design."
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "Trigger Words in LoRA-Syntax einschließen",
|
||||
"includeTriggerWordsHelp": "Trainierte Trigger Words beim Kopieren der LoRA-Syntax in die Zwischenablage einschließen",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "Kleinste",
|
||||
"usage": "Anzahl Nutzung",
|
||||
"usageDesc": "Meiste",
|
||||
"usageAsc": "Wenigste"
|
||||
"usageAsc": "Wenigste",
|
||||
"versionsCount": "Lokale Versionen",
|
||||
"versionsCountDesc": "Meiste Versionen zuerst",
|
||||
"versionsCountAsc": "Wenigste Versionen zuerst",
|
||||
"versionIdDesc": "Neueste Version zuerst"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "Modelliste aktualisieren",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "Speicher",
|
||||
"insights": "Erkenntnisse"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "Modelle gesamt",
|
||||
"totalStorage": "Speicher gesamt",
|
||||
"totalGenerations": "Generationen gesamt",
|
||||
"usageRate": "Nutzungsrate",
|
||||
"loras": "LoRAs",
|
||||
"checkpoints": "Checkpoints",
|
||||
"embeddings": "Embeddings",
|
||||
"uniqueTags": "Einzigartige Tags",
|
||||
"unusedModels": "Ungenutzte Modelle",
|
||||
"avgUsesPerModel": "Ø Nutzungen/Modell"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "Meistgenutzte LoRAs",
|
||||
"mostUsedCheckpoints": "Meistgenutzte Checkpoints",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "Intelligente Erkenntnisse",
|
||||
"recommendations": "Empfehlungen"
|
||||
"recommendations": "Empfehlungen",
|
||||
"noInsights": "Keine Erkenntnisse verfügbar",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "Hohe Anzahl ungenutzter LoRAs",
|
||||
"description": "{percent}% Ihrer LoRAs ({count}/{total}) wurden noch nie verwendet.",
|
||||
"suggestion": "Erwägen Sie, ungenutzte Modelle zu organisieren oder zu archivieren, um Speicherplatz freizugeben."
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "Ungenutzte Checkpoints erkannt",
|
||||
"description": "{percent}% Ihrer Checkpoints ({count}/{total}) wurden noch nie verwendet.",
|
||||
"suggestion": "Überprüfen Sie nicht mehr benötigte Checkpoints und erwägen Sie deren Entfernung."
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "Hohe Anzahl ungenutzter Embeddings",
|
||||
"description": "{percent}% Ihrer Embeddings ({count}/{total}) wurden noch nie verwendet.",
|
||||
"suggestion": "Organisieren oder archivieren Sie ungenutzte Embeddings, um Ihre Sammlung zu optimieren."
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "Große Sammlung erkannt",
|
||||
"description": "Ihre Modellsammlung verwendet {size} Speicher.",
|
||||
"suggestion": "Erwägen Sie externe Speicher- oder Cloud-Lösungen für eine bessere Organisation."
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "Aktiver Benutzer",
|
||||
"description": "Sie haben {count} Generationen abgeschlossen!",
|
||||
"suggestion": "Entdecken und erstellen Sie weiterhin großartige Inhalte mit Ihren Modellen."
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "Sammlungsübersicht",
|
||||
"baseModelDistribution": "Basis-Modell-Verteilung",
|
||||
"usageTrends": "Nutzungstrends (Letzte 30 Tage)",
|
||||
"usageDistribution": "Nutzungsverteilung"
|
||||
"usageDistribution": "Nutzungsverteilung",
|
||||
"date": "Datum",
|
||||
"usageCount": "Nutzungsanzahl",
|
||||
"fileSizeBytes": "Dateigröße (Bytes)",
|
||||
"models": "Modelle",
|
||||
"loraUsage": "LoRA-Nutzung",
|
||||
"checkpointUsage": "Checkpoint-Nutzung",
|
||||
"embeddingUsage": "Embedding-Nutzung"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Checkpoint",
|
||||
"diffusion_model": "Diffusionsmodell",
|
||||
"embedding": "Embeddings"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "Lädt...",
|
||||
"noModels": "Keine Modelle gefunden",
|
||||
"errorLoading": "Fehler beim Laden der Daten",
|
||||
"noStorageData": "Keine Speicherdaten verfügbar",
|
||||
"rootFolder": "Root",
|
||||
"chartLibraryMissing": "Diagramm benötigt Chart.js-Bibliothek"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count} Modelle",
|
||||
"chartUsage": "{name}: {size}, {count} Nutzungen",
|
||||
"chartPercentage": "{label}: {value} ({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "Dieser Tag existiert bereits"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "Tastatur-Navigation:",
|
||||
"shortcuts": {
|
||||
"pageUp": "Eine Seite nach oben scrollen",
|
||||
"pageDown": "Eine Seite nach unten scrollen",
|
||||
"home": "Zum Anfang springen",
|
||||
"end": "Zum Ende springen"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "Initialisierung",
|
||||
"message": "Ihr Arbeitsbereich wird vorbereitet...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "Modell im Workflow aktualisiert",
|
||||
"modelFailed": "Fehler beim Aktualisieren des Modellknotens",
|
||||
"embeddingAdded": "Embedding zum Workflow hinzugefügt",
|
||||
"embeddingFailed": "Fehler beim Hinzufügen des Embeddings"
|
||||
"embeddingFailed": "Fehler beim Hinzufügen des Embeddings",
|
||||
"promptSent": "Prompt an Workflow gesendet",
|
||||
"promptFailed": "Fehler beim Senden des Prompts"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "Rezept",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "Prompt",
|
||||
"replace": "Ersetzen",
|
||||
"append": "Anhängen",
|
||||
"selectTargetNode": "Zielknoten auswählen",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "Bitte geben Sie einen LoRA-Namen oder Syntax ein",
|
||||
"reconnectedSuccessfully": "LoRA erfolgreich neu verbunden",
|
||||
"reconnectFailed": "Fehler beim Neuverbinden des LoRA: {message}",
|
||||
"noPromptToSend": "Kein zu sendender Prompt",
|
||||
"cannotSend": "Kann Rezept nicht senden: Fehlende Rezept-ID",
|
||||
"sendFailed": "Fehler beim Senden des Rezepts an Workflow",
|
||||
"sendError": "Fehler beim Senden des Rezepts an Workflow",
|
||||
|
||||
+125
-28
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "Times used"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} versions",
|
||||
"viewAllVersions": "View all local versions"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "Manage Excluded Models"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "Group by Model"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "Stats"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "Search...",
|
||||
"placeholders": {
|
||||
"loras": "Search LoRAs...",
|
||||
"recipes": "Search recipes...",
|
||||
"checkpoints": "Search checkpoints...",
|
||||
"embeddings": "Search embeddings..."
|
||||
},
|
||||
"placeholder": "Search",
|
||||
"options": "Search Options",
|
||||
"searchIn": "Search In:",
|
||||
"notAvailable": "Search not available on statistics page",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "Toggle theme",
|
||||
"switchToLight": "Switch to light theme",
|
||||
"switchToDark": "Switch to dark theme",
|
||||
"switchToAuto": "Switch to auto theme"
|
||||
"switchToAuto": "Switch to auto theme",
|
||||
"presets": "Theme Presets",
|
||||
"default": "Default",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "Mode",
|
||||
"light": "Light",
|
||||
"dark": "Dark",
|
||||
"auto": "Auto"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "Check Updates",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Civitai API Key",
|
||||
"civitaiApiKeyPlaceholder": "Enter your Civitai API key",
|
||||
"civitaiApiKeyHelp": "Used for authentication when downloading models from Civitai",
|
||||
"civitaiApiKeyConfigured": "Configured",
|
||||
"civitaiApiKeyNotConfigured": "Not configured",
|
||||
"civitaiApiKeySet": "Set up",
|
||||
"civitaiHost": {
|
||||
"label": "Civitai host",
|
||||
"help": "Choose which Civitai site opens when using View on Civitai links.",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "Downloads",
|
||||
"videoSettings": "Video Settings",
|
||||
"layoutSettings": "Layout Settings",
|
||||
"licenseIcons": "License Icons",
|
||||
"misc": "Miscellaneous",
|
||||
"backup": "Backups",
|
||||
"folderSettings": "Default Roots",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "Extra Folder Paths",
|
||||
"downloadPathTemplates": "Download Path Templates",
|
||||
"priorityTags": "Priority Tags",
|
||||
"updateFlags": "Update Flags",
|
||||
"versionScope": "Version Scope",
|
||||
"exampleImages": "Example Images",
|
||||
"autoOrganize": "Auto-organize",
|
||||
"metadata": "Metadata",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "When enabled, versions downloaded before will be skipped."
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "Group by Model",
|
||||
"groupByModelHelp": "When enabled, only the latest version of each Civitai model is shown as a single card. Older versions are hidden.",
|
||||
"displayDensity": "Display Density",
|
||||
"displayDensityOptions": {
|
||||
"default": "Default",
|
||||
@@ -571,18 +589,22 @@
|
||||
"download": "Download",
|
||||
"restartRequired": "Requires restart"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"label": "Update Flag Strategy",
|
||||
"help": "Decide whether update badges should only appear when a new release shares the same base model as your local files or whenever any newer version exists for that model.",
|
||||
"versionGrouping": {
|
||||
"label": "Version Grouping",
|
||||
"help": "Decide how versions are grouped for display: by base model or all together. Also controls update badge logic and the VLM version list filtering.",
|
||||
"options": {
|
||||
"sameBase": "Match updates by base model",
|
||||
"any": "Flag any available update"
|
||||
"sameBase": "Group by base model (same_base)",
|
||||
"any": "Show all versions (any)"
|
||||
}
|
||||
},
|
||||
"hideEarlyAccessUpdates": {
|
||||
"label": "Hide Early Access Updates",
|
||||
"help": "When enabled, models with only early access updates will not show 'Update available' badge"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "Use updated license icons",
|
||||
"useNewStyleHelp": "Display license permissions with colored indicators (new style) or restriction-only icons (classic style). Mirroring the current CivitAI design."
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "Include Trigger Words in LoRA Syntax",
|
||||
"includeTriggerWordsHelp": "Include trained trigger words when copying LoRA syntax to clipboard",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "Smallest",
|
||||
"usage": "Use Count",
|
||||
"usageDesc": "Most",
|
||||
"usageAsc": "Least"
|
||||
"usageAsc": "Least",
|
||||
"versionsCount": "Local Versions",
|
||||
"versionsCountDesc": "Most versions first",
|
||||
"versionsCountAsc": "Fewest versions first",
|
||||
"versionIdDesc": "Newest version first"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "Refresh model list",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "Storage",
|
||||
"insights": "Insights"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "Total Models",
|
||||
"totalStorage": "Total Storage",
|
||||
"totalGenerations": "Total Generations",
|
||||
"usageRate": "Usage Rate",
|
||||
"loras": "LoRAs",
|
||||
"checkpoints": "Checkpoints",
|
||||
"embeddings": "Embeddings",
|
||||
"uniqueTags": "Unique Tags",
|
||||
"unusedModels": "Unused Models",
|
||||
"avgUsesPerModel": "Avg. Uses/Model"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "Most Used LoRAs",
|
||||
"mostUsedCheckpoints": "Most Used Checkpoints",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "Smart Insights",
|
||||
"recommendations": "Recommendations"
|
||||
"recommendations": "Recommendations",
|
||||
"noInsights": "No insights available",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "High Number of Unused LoRAs",
|
||||
"description": "{percent}% of your LoRAs ({count}/{total}) have never been used.",
|
||||
"suggestion": "Consider organizing or archiving unused models to free up storage space."
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "Unused Checkpoints Detected",
|
||||
"description": "{percent}% of your checkpoints ({count}/{total}) have never been used.",
|
||||
"suggestion": "Review and consider removing checkpoints you no longer need."
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "High Number of Unused Embeddings",
|
||||
"description": "{percent}% of your embeddings ({count}/{total}) have never been used.",
|
||||
"suggestion": "Consider organizing or archiving unused embeddings to optimize your collection."
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "Large Collection Detected",
|
||||
"description": "Your model collection is using {size} of storage.",
|
||||
"suggestion": "Consider using external storage or cloud solutions for better organization."
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "Active User",
|
||||
"description": "You've completed {count} generations so far!",
|
||||
"suggestion": "Keep exploring and creating amazing content with your models."
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "Collection Overview",
|
||||
"baseModelDistribution": "Base Model Distribution",
|
||||
"usageTrends": "Usage Trends (Last 30 Days)",
|
||||
"usageDistribution": "Usage Distribution"
|
||||
"usageDistribution": "Usage Distribution",
|
||||
"date": "Date",
|
||||
"usageCount": "Usage Count",
|
||||
"fileSizeBytes": "File Size (bytes)",
|
||||
"models": "Models",
|
||||
"loraUsage": "LoRA Usage",
|
||||
"checkpointUsage": "Checkpoint Usage",
|
||||
"embeddingUsage": "Embedding Usage"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Checkpoint",
|
||||
"diffusion_model": "Diffusion Model",
|
||||
"embedding": "Embeddings"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "Loading...",
|
||||
"noModels": "No models found",
|
||||
"errorLoading": "Error loading data",
|
||||
"noStorageData": "No storage data available",
|
||||
"rootFolder": "Root",
|
||||
"chartLibraryMissing": "Chart requires Chart.js library"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count} models",
|
||||
"chartUsage": "{name}: {size}, {count} uses",
|
||||
"chartPercentage": "{label}: {value} ({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1368,7 +1470,7 @@
|
||||
"resumeModelUpdates": "Resume updates for this model",
|
||||
"ignoreModelUpdates": "Ignore updates for this model",
|
||||
"viewLocalVersions": "View all local versions",
|
||||
"viewLocalTooltip": "Coming soon"
|
||||
"viewLocalTooltip": "Show all local versions of this model on the main page"
|
||||
},
|
||||
"filters": {
|
||||
"label": "Base filter",
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "This tag already exists"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "Keyboard Navigation:",
|
||||
"shortcuts": {
|
||||
"pageUp": "Scroll up one page",
|
||||
"pageDown": "Scroll down one page",
|
||||
"home": "Jump to top",
|
||||
"end": "Jump to bottom"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "Initializing",
|
||||
"message": "Preparing your workspace...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "Model updated in workflow",
|
||||
"modelFailed": "Failed to update model node",
|
||||
"embeddingAdded": "Embedding added to workflow",
|
||||
"embeddingFailed": "Failed to add embedding"
|
||||
"embeddingFailed": "Failed to add embedding",
|
||||
"promptSent": "Prompt sent to workflow",
|
||||
"promptFailed": "Failed to send prompt"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "Recipe",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "Prompt",
|
||||
"replace": "Replace",
|
||||
"append": "Append",
|
||||
"selectTargetNode": "Select target node",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "Please enter a LoRA name or syntax",
|
||||
"reconnectedSuccessfully": "LoRA reconnected successfully",
|
||||
"reconnectFailed": "Error reconnecting LoRA: {message}",
|
||||
"noPromptToSend": "No prompt to send",
|
||||
"cannotSend": "Cannot send recipe: Missing recipe ID",
|
||||
"sendFailed": "Failed to send recipe to workflow",
|
||||
"sendError": "Error sending recipe to workflow",
|
||||
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "Veces usado"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} versiones",
|
||||
"viewAllVersions": "Ver todas las versiones locales"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "Gestionar modelos excluidos"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "Agrupar por modelo"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "Estadísticas"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "Buscar...",
|
||||
"placeholders": {
|
||||
"loras": "Buscar LoRAs...",
|
||||
"recipes": "Buscar recetas...",
|
||||
"checkpoints": "Buscar checkpoints...",
|
||||
"embeddings": "Buscar embeddings..."
|
||||
},
|
||||
"placeholder": "Buscar",
|
||||
"options": "Opciones de búsqueda",
|
||||
"searchIn": "Buscar en:",
|
||||
"notAvailable": "Búsqueda no disponible en la página de estadísticas",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "Cambiar tema",
|
||||
"switchToLight": "Cambiar a tema claro",
|
||||
"switchToDark": "Cambiar a tema oscuro",
|
||||
"switchToAuto": "Cambiar a tema automático"
|
||||
"switchToAuto": "Cambiar a tema automático",
|
||||
"presets": "Preajustes de tema",
|
||||
"default": "Predeterminado",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "Modo",
|
||||
"light": "Claro",
|
||||
"dark": "Oscuro",
|
||||
"auto": "Auto"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "Comprobar actualizaciones",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Clave API de Civitai",
|
||||
"civitaiApiKeyPlaceholder": "Introduce tu clave API de Civitai",
|
||||
"civitaiApiKeyHelp": "Utilizada para autenticación al descargar modelos de Civitai",
|
||||
"civitaiApiKeyConfigured": "Configurado",
|
||||
"civitaiApiKeyNotConfigured": "No configurado",
|
||||
"civitaiApiKeySet": "Configurar",
|
||||
"civitaiHost": {
|
||||
"label": "Host de Civitai",
|
||||
"help": "Elige qué sitio de Civitai se abre al usar los enlaces de \"View on Civitai\".",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "Descargas",
|
||||
"videoSettings": "Configuración de video",
|
||||
"layoutSettings": "Configuración de diseño",
|
||||
"licenseIcons": "Iconos de licencia",
|
||||
"misc": "Varios",
|
||||
"backup": "Copias de seguridad",
|
||||
"folderSettings": "Raíces predeterminadas",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "Rutas de carpetas adicionales",
|
||||
"downloadPathTemplates": "Plantillas de rutas de descarga",
|
||||
"priorityTags": "Etiquetas prioritarias",
|
||||
"updateFlags": "Indicadores de actualización",
|
||||
"versionScope": "Indicadores de actualización",
|
||||
"exampleImages": "Imágenes de ejemplo",
|
||||
"autoOrganize": "Organización automática",
|
||||
"metadata": "Metadatos",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "Cuando está habilitado, LoRA Manager omitirá la descarga de una versión de modelo si el servicio de historial de descargas registra esa versión exacta como ya descargada. Aplica a todos los flujos de descarga."
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "Agrupar por modelo",
|
||||
"groupByModelHelp": "Cuando está activado, solo se muestra la versión más reciente de cada modelo de Civitai como una tarjeta única. Las versiones anteriores están ocultas.",
|
||||
"displayDensity": "Densidad de visualización",
|
||||
"displayDensityOptions": {
|
||||
"default": "Predeterminado",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "Descargar",
|
||||
"restartRequired": "Requiere reinicio"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "Estrategia de indicadores de actualización",
|
||||
"help": "Decide si las insignias de actualización deben mostrarse solo cuando una nueva versión comparte el mismo modelo base que tus archivos locales o siempre que exista cualquier versión más reciente de ese modelo.",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "Ocultar actualizaciones de acceso temprano",
|
||||
"help": "Solo actualizaciones de acceso temprano"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "Usar iconos de licencia actualizados",
|
||||
"useNewStyleHelp": "Mostrar permisos de licencia con indicadores de color (nuevo estilo) o solo iconos de restricción (estilo clásico). Refleja el diseño actual de CivitAI."
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "Incluir palabras clave en la sintaxis de LoRA",
|
||||
"includeTriggerWordsHelp": "Incluir palabras clave entrenadas al copiar la sintaxis de LoRA al portapapeles",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "Menor",
|
||||
"usage": "Número de usos",
|
||||
"usageDesc": "Más",
|
||||
"usageAsc": "Menos"
|
||||
"usageAsc": "Menos",
|
||||
"versionsCount": "Versiones locales",
|
||||
"versionsCountDesc": "Más versiones primero",
|
||||
"versionsCountAsc": "Menos versiones primero",
|
||||
"versionIdDesc": "Versión más nueva primero"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "Actualizar lista de modelos",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "Almacenamiento",
|
||||
"insights": "Perspectivas"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "Total de modelos",
|
||||
"totalStorage": "Almacenamiento total",
|
||||
"totalGenerations": "Generaciones totales",
|
||||
"usageRate": "Tasa de uso",
|
||||
"loras": "LoRAs",
|
||||
"checkpoints": "Puntos de control",
|
||||
"embeddings": "Embeddings",
|
||||
"uniqueTags": "Etiquetas únicas",
|
||||
"unusedModels": "Modelos no usados",
|
||||
"avgUsesPerModel": "Prom. usos/modelo"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "LoRAs más utilizados",
|
||||
"mostUsedCheckpoints": "Checkpoints más utilizados",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "Perspectivas inteligentes",
|
||||
"recommendations": "Recomendaciones"
|
||||
"recommendations": "Recomendaciones",
|
||||
"noInsights": "No hay información disponible",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "Alta cantidad de LoRAs no utilizadas",
|
||||
"description": "El {percent}% de tus LoRAs ({count}/{total}) nunca se han utilizado.",
|
||||
"suggestion": "Considera organizar o archivar modelos no utilizados para liberar espacio."
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "Puntos de control no utilizados detectados",
|
||||
"description": "El {percent}% de tus puntos de control ({count}/{total}) nunca se han utilizado.",
|
||||
"suggestion": "Revisa y considera eliminar los puntos de control que ya no necesites."
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "Alta cantidad de Embeddings no utilizados",
|
||||
"description": "El {percent}% de tus embeddings ({count}/{total}) nunca se han utilizado.",
|
||||
"suggestion": "Considera organizar o archivar embeddings no utilizados para optimizar tu colección."
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "Colección grande detectada",
|
||||
"description": "Tu colección de modelos está usando {size} de almacenamiento.",
|
||||
"suggestion": "Considera usar almacenamiento externo o soluciones en la nube para una mejor organización."
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "Usuario activo",
|
||||
"description": "¡Has completado {count} generaciones hasta ahora!",
|
||||
"suggestion": "Sigue explorando y creando contenido increíble con tus modelos."
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "Resumen de colección",
|
||||
"baseModelDistribution": "Distribución de modelo base",
|
||||
"usageTrends": "Tendencias de uso (Últimos 30 días)",
|
||||
"usageDistribution": "Distribución de uso"
|
||||
"usageDistribution": "Distribución de uso",
|
||||
"date": "Fecha",
|
||||
"usageCount": "Conteo de uso",
|
||||
"fileSizeBytes": "Tamaño del archivo (bytes)",
|
||||
"models": "Modelos",
|
||||
"loraUsage": "Uso de LoRA",
|
||||
"checkpointUsage": "Uso de Checkpoint",
|
||||
"embeddingUsage": "Uso de Embedding"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Punto de control",
|
||||
"diffusion_model": "Modelo de difusión",
|
||||
"embedding": "Embeddings"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "Cargando...",
|
||||
"noModels": "No se encontraron modelos",
|
||||
"errorLoading": "Error al cargar datos",
|
||||
"noStorageData": "No hay datos de almacenamiento disponibles",
|
||||
"rootFolder": "Raíz",
|
||||
"chartLibraryMissing": "El gráfico requiere la librería Chart.js"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count} modelos",
|
||||
"chartUsage": "{name}: {size}, {count} usos",
|
||||
"chartPercentage": "{label}: {value} ({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "Esta etiqueta ya existe"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "Navegación por teclado:",
|
||||
"shortcuts": {
|
||||
"pageUp": "Desplazar hacia arriba una página",
|
||||
"pageDown": "Desplazar hacia abajo una página",
|
||||
"home": "Saltar al inicio",
|
||||
"end": "Saltar al final"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "Inicializando",
|
||||
"message": "Preparando tu espacio de trabajo...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "Modelo actualizado en el flujo de trabajo",
|
||||
"modelFailed": "Error al actualizar nodo de modelo",
|
||||
"embeddingAdded": "Embedding añadido al flujo de trabajo",
|
||||
"embeddingFailed": "Error al añadir el embedding"
|
||||
"embeddingFailed": "Error al añadir el embedding",
|
||||
"promptSent": "Prompt enviado al flujo de trabajo",
|
||||
"promptFailed": "Error al enviar el prompt"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "Receta",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "Prompt",
|
||||
"replace": "Reemplazar",
|
||||
"append": "Añadir",
|
||||
"selectTargetNode": "Seleccionar nodo de destino",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "Por favor introduce un nombre de LoRA o sintaxis",
|
||||
"reconnectedSuccessfully": "LoRA reconectado exitosamente",
|
||||
"reconnectFailed": "Error reconectando LoRA: {message}",
|
||||
"noPromptToSend": "No hay prompt para enviar",
|
||||
"cannotSend": "No se puede enviar receta: Falta ID de receta",
|
||||
"sendFailed": "Error al enviar receta al flujo de trabajo",
|
||||
"sendError": "Error enviando receta al flujo de trabajo",
|
||||
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "Nombre d'utilisations"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} versions",
|
||||
"viewAllVersions": "Voir toutes les versions locales"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "Gérer les modèles exclus"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "Grouper par modèle"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "Statistiques"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "Rechercher...",
|
||||
"placeholders": {
|
||||
"loras": "Rechercher des LoRAs...",
|
||||
"recipes": "Rechercher des recipes...",
|
||||
"checkpoints": "Rechercher des checkpoints...",
|
||||
"embeddings": "Rechercher des embeddings..."
|
||||
},
|
||||
"placeholder": "Rechercher",
|
||||
"options": "Options de recherche",
|
||||
"searchIn": "Rechercher dans :",
|
||||
"notAvailable": "Recherche non disponible sur la page de statistiques",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "Basculer le thème",
|
||||
"switchToLight": "Passer au thème clair",
|
||||
"switchToDark": "Passer au thème sombre",
|
||||
"switchToAuto": "Passer au thème automatique"
|
||||
"switchToAuto": "Passer au thème automatique",
|
||||
"presets": "Préréglages de thème",
|
||||
"default": "Par défaut",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "Mode",
|
||||
"light": "Clair",
|
||||
"dark": "Sombre",
|
||||
"auto": "Auto"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "Vérifier les mises à jour",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Clé API Civitai",
|
||||
"civitaiApiKeyPlaceholder": "Entrez votre clé API Civitai",
|
||||
"civitaiApiKeyHelp": "Utilisée pour l'authentification lors du téléchargement de modèles depuis Civitai",
|
||||
"civitaiApiKeyConfigured": "Configuré",
|
||||
"civitaiApiKeyNotConfigured": "Non configuré",
|
||||
"civitaiApiKeySet": "Configurer",
|
||||
"civitaiHost": {
|
||||
"label": "Hôte Civitai",
|
||||
"help": "Choisissez quel site Civitai s'ouvre lorsque vous utilisez les liens « View on Civitai ».",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "Téléchargements",
|
||||
"videoSettings": "Paramètres vidéo",
|
||||
"layoutSettings": "Paramètres d'affichage",
|
||||
"licenseIcons": "Icônes de licence",
|
||||
"misc": "Divers",
|
||||
"backup": "Sauvegardes",
|
||||
"folderSettings": "Racines par défaut",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "Chemins de dossiers supplémentaires",
|
||||
"downloadPathTemplates": "Modèles de chemin de téléchargement",
|
||||
"priorityTags": "Étiquettes prioritaires",
|
||||
"updateFlags": "Indicateurs de mise à jour",
|
||||
"versionScope": "Indicateurs de mise à jour",
|
||||
"exampleImages": "Images d'exemple",
|
||||
"autoOrganize": "Organisation automatique",
|
||||
"metadata": "Métadonnées",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "Lorsque activé, LoRA Manager ignorera le téléchargement d'une version de modèle si le service d'historique des téléchargements enregistre cette version exacte comme déjà téléchargée. S'applique à tous les flux de téléchargement."
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "Grouper par modèle",
|
||||
"groupByModelHelp": "Lorsque activé, seule la version la plus récente de chaque modèle Civitai s'affiche sous forme de carte unique. Les versions plus anciennes sont masquées.",
|
||||
"displayDensity": "Densité d'affichage",
|
||||
"displayDensityOptions": {
|
||||
"default": "Par défaut",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "Télécharger",
|
||||
"restartRequired": "Redémarrage requis"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "Stratégie des indicateurs de mise à jour",
|
||||
"help": "Choisissez si les badges de mise à jour doivent apparaître uniquement lorsqu’une nouvelle version partage le même modèle de base que vos fichiers locaux, ou dès qu’il existe une version plus récente pour ce modèle.",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "Masquer les mises à jour en accès anticipé",
|
||||
"help": "Seulement les mises à jour en accès anticipé"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "Utiliser les icônes de licence mises à jour",
|
||||
"useNewStyleHelp": "Afficher les permissions de licence avec des indicateurs colorés (nouveau style) ou des icônes de restriction uniquement (style classique). Reprend le design actuel de CivitAI."
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "Inclure les mots-clés dans la syntaxe LoRA",
|
||||
"includeTriggerWordsHelp": "Inclure les mots-clés d'entraînement lors de la copie de la syntaxe LoRA dans le presse-papiers",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "Plus petit",
|
||||
"usage": "Nombre d'utilisations",
|
||||
"usageDesc": "Plus",
|
||||
"usageAsc": "Moins"
|
||||
"usageAsc": "Moins",
|
||||
"versionsCount": "Versions locales",
|
||||
"versionsCountDesc": "Plus de versions d'abord",
|
||||
"versionsCountAsc": "Moins de versions d'abord",
|
||||
"versionIdDesc": "Version la plus récente d'abord"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "Actualiser la liste des modèles",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "Stockage",
|
||||
"insights": "Aperçus"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "Total des modèles",
|
||||
"totalStorage": "Stockage total",
|
||||
"totalGenerations": "Générations totales",
|
||||
"usageRate": "Taux d'utilisation",
|
||||
"loras": "LoRAs",
|
||||
"checkpoints": "Points de contrôle",
|
||||
"embeddings": "Embeddings",
|
||||
"uniqueTags": "Tags uniques",
|
||||
"unusedModels": "Modèles inutilisés",
|
||||
"avgUsesPerModel": "Moy. utilisations/modèle"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "LoRAs les plus utilisés",
|
||||
"mostUsedCheckpoints": "Checkpoints les plus utilisés",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "Aperçus intelligents",
|
||||
"recommendations": "Recommandations"
|
||||
"recommendations": "Recommandations",
|
||||
"noInsights": "Aucun aperçu disponible",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "Nombre élevé de LoRAs inutilisées",
|
||||
"description": "{percent}% de vos LoRAs ({count}/{total}) n'ont jamais été utilisées.",
|
||||
"suggestion": "Envisagez d'organiser ou d'archiver les modèles inutilisés pour libérer de l'espace."
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "Points de contrôle inutilisés détectés",
|
||||
"description": "{percent}% de vos points de contrôle ({count}/{total}) n'ont jamais été utilisés.",
|
||||
"suggestion": "Examinez et envisagez de supprimer les points de contrôle dont vous n'avez plus besoin."
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "Nombre élevé d'Embeddings inutilisées",
|
||||
"description": "{percent}% de vos embeddings ({count}/{total}) n'ont jamais été utilisées.",
|
||||
"suggestion": "Envisagez d'organiser ou d'archiver les embeddings inutilisées pour optimiser votre collection."
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "Grande collection détectée",
|
||||
"description": "Votre collection de modèles utilise {size} de stockage.",
|
||||
"suggestion": "Envisagez d'utiliser un stockage externe ou des solutions cloud pour une meilleure organisation."
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "Utilisateur actif",
|
||||
"description": "Vous avez effectué {count} générations jusqu'à présent !",
|
||||
"suggestion": "Continuez à explorer et à créer du contenu formidable avec vos modèles."
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "Aperçu de la collection",
|
||||
"baseModelDistribution": "Distribution des modèles de base",
|
||||
"usageTrends": "Tendances d'utilisation (30 derniers jours)",
|
||||
"usageDistribution": "Distribution de l'utilisation"
|
||||
"usageDistribution": "Distribution de l'utilisation",
|
||||
"date": "Date",
|
||||
"usageCount": "Nombre d'utilisations",
|
||||
"fileSizeBytes": "Taille du fichier (octets)",
|
||||
"models": "Modèles",
|
||||
"loraUsage": "Utilisation LoRA",
|
||||
"checkpointUsage": "Utilisation Checkpoint",
|
||||
"embeddingUsage": "Utilisation Embedding"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Point de contrôle",
|
||||
"diffusion_model": "Modèle de diffusion",
|
||||
"embedding": "Embeddings"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "Chargement...",
|
||||
"noModels": "Aucun modèle trouvé",
|
||||
"errorLoading": "Erreur de chargement des données",
|
||||
"noStorageData": "Aucune donnée de stockage disponible",
|
||||
"rootFolder": "Racine",
|
||||
"chartLibraryMissing": "Le graphique nécessite la bibliothèque Chart.js"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count} modèles",
|
||||
"chartUsage": "{name}: {size}, {count} utilisations",
|
||||
"chartPercentage": "{label}: {value} ({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "Ce tag existe déjà"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "Navigation au clavier :",
|
||||
"shortcuts": {
|
||||
"pageUp": "Défiler d'une page vers le haut",
|
||||
"pageDown": "Défiler d'une page vers le bas",
|
||||
"home": "Aller en haut",
|
||||
"end": "Aller en bas"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "Initialisation",
|
||||
"message": "Préparation de votre espace de travail...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "Modèle mis à jour dans le workflow",
|
||||
"modelFailed": "Échec de la mise à jour du nœud modèle",
|
||||
"embeddingAdded": "Embedding ajouté au workflow",
|
||||
"embeddingFailed": "Échec de l'ajout de l'embedding"
|
||||
"embeddingFailed": "Échec de l'ajout de l'embedding",
|
||||
"promptSent": "Prompt envoyé au workflow",
|
||||
"promptFailed": "Échec de l'envoi du prompt"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "Recipe",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "Prompt",
|
||||
"replace": "Remplacer",
|
||||
"append": "Ajouter",
|
||||
"selectTargetNode": "Sélectionner le nœud cible",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "Veuillez entrer un nom ou une syntaxe LoRA",
|
||||
"reconnectedSuccessfully": "LoRA reconnecté avec succès",
|
||||
"reconnectFailed": "Erreur lors de la reconnexion du LoRA : {message}",
|
||||
"noPromptToSend": "Aucun prompt à envoyer",
|
||||
"cannotSend": "Impossible d'envoyer la recipe : ID de recipe manquant",
|
||||
"sendFailed": "Échec de l'envoi de la recipe vers le workflow",
|
||||
"sendError": "Erreur lors de l'envoi de la recipe vers le workflow",
|
||||
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "מספר שימושים"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} גרסאות",
|
||||
"viewAllVersions": "הצג את כל הגרסאות המקומיות"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "ניהול מודלים מוחרגים"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "קיבוץ לפי דגם"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "סטטיסטיקה"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "חפש...",
|
||||
"placeholders": {
|
||||
"loras": "חפש LoRAs...",
|
||||
"recipes": "חפש מתכונים...",
|
||||
"checkpoints": "חפש checkpoints...",
|
||||
"embeddings": "חפש embeddings..."
|
||||
},
|
||||
"placeholder": "חיפוש",
|
||||
"options": "אפשרויות חיפוש",
|
||||
"searchIn": "חפש ב:",
|
||||
"notAvailable": "חיפוש לא זמין בדף הסטטיסטיקה",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "החלף ערכת נושא",
|
||||
"switchToLight": "עבור לערכת נושא בהירה",
|
||||
"switchToDark": "עבור לערכת נושא כהה",
|
||||
"switchToAuto": "עבור לערכת נושא אוטומטית"
|
||||
"switchToAuto": "עבור לערכת נושא אוטומטית",
|
||||
"presets": "ערכות נושא מוגדרות",
|
||||
"default": "ברירת מחדל",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "מצב",
|
||||
"light": "בהיר",
|
||||
"dark": "כהה",
|
||||
"auto": "אוטומטי"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "בדוק עדכונים",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "מפתח API של Civitai",
|
||||
"civitaiApiKeyPlaceholder": "הזן את מפתח ה-API שלך מ-Civitai",
|
||||
"civitaiApiKeyHelp": "משמש לאימות בעת הורדת מודלים מ-Civitai",
|
||||
"civitaiApiKeyConfigured": "מוגדר",
|
||||
"civitaiApiKeyNotConfigured": "לא מוגדר",
|
||||
"civitaiApiKeySet": "הגדר",
|
||||
"civitaiHost": {
|
||||
"label": "מארח Civitai",
|
||||
"help": "בחר איזה אתר של Civitai ייפתח בעת שימוש בקישורי \"View on Civitai\".",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "הורדות",
|
||||
"videoSettings": "הגדרות וידאו",
|
||||
"layoutSettings": "הגדרות פריסה",
|
||||
"licenseIcons": "סמלי רישיון",
|
||||
"misc": "שונות",
|
||||
"backup": "גיבויים",
|
||||
"folderSettings": "תיקיות ברירת מחדל",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "נתיבי תיקיות נוספים",
|
||||
"downloadPathTemplates": "תבניות נתיב הורדה",
|
||||
"priorityTags": "תגיות עדיפות",
|
||||
"updateFlags": "תגי עדכון",
|
||||
"versionScope": "תגי עדכון",
|
||||
"exampleImages": "תמונות דוגמה",
|
||||
"autoOrganize": "ארגון אוטומטי",
|
||||
"metadata": "מטא-נתונים",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "כאשר מופעל, LoRA Manager ידלג על הורדת גרסת מודל אם שירות היסטוריית ההורדות רושם את הגרסה המדויקת הזו ככבר שהורדה. חל על כל תהליכי ההורדה."
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "קיבוץ לפי דגם",
|
||||
"groupByModelHelp": "כאשר מופעל, רק הגרסה העדכנית ביותר של כל דגם Civitai מוצגת ככרטיס בודד. גרסאות ישנות יותר מוסתרות.",
|
||||
"displayDensity": "צפיפות תצוגה",
|
||||
"displayDensityOptions": {
|
||||
"default": "ברירת מחדל",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "הורד",
|
||||
"restartRequired": "דורש הפעלה מחדש"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "אסטרטגיית תגי עדכון",
|
||||
"help": "בחרו אם תוויות העדכון יוצגו רק כאשר גרסה חדשה חולקת את אותו דגם בסיס כמו הקבצים המקומיים שלכם או בכל מקרה שבו קיימת גרסה חדשה עבור אותו דגם.",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "הסתר עדכוני גישה מוקדמת",
|
||||
"help": "רק עדכוני גישה מוקדמת"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "השתמש בסמלי רישיון מעודכנים",
|
||||
"useNewStyleHelp": "הצג הרשאות רישיון עם מחוונים צבעוניים (סגנון חדש) או סמלי הגבלה בלבד (סגנון קלאסי). משקף את העיצוב העדכני של CivitAI."
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "כלול מילות טריגר בתחביר LoRA",
|
||||
"includeTriggerWordsHelp": "כלול מילות טריגר מאומנות בעת העתקת תחביר LoRA ללוח",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "הקטן ביותר",
|
||||
"usage": "מספר שימושים",
|
||||
"usageDesc": "הכי הרבה",
|
||||
"usageAsc": "הכי פחות"
|
||||
"usageAsc": "הכי פחות",
|
||||
"versionsCount": "גרסאות מקומיות",
|
||||
"versionsCountDesc": "הכי הרבה גרסאות ראשונות",
|
||||
"versionsCountAsc": "הכי מעט גרסאות ראשונות",
|
||||
"versionIdDesc": "גרסה חדשה ביותר ראשונה"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "רענן רשימת מודלים",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "אחסון",
|
||||
"insights": "תובנות"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "סה\"כ דגמים",
|
||||
"totalStorage": "סה\"כ אחסון",
|
||||
"totalGenerations": "סה\"כ יצירות",
|
||||
"usageRate": "שיעור שימוש",
|
||||
"loras": "LoRA",
|
||||
"checkpoints": "נקודות ביקורת",
|
||||
"embeddings": "הטמעות",
|
||||
"uniqueTags": "תגיות ייחודיות",
|
||||
"unusedModels": "דגמים שאינם בשימוש",
|
||||
"avgUsesPerModel": "ממוצע שימושים/דגם"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "LoRAs הנפוצים ביותר",
|
||||
"mostUsedCheckpoints": "Checkpoints הנפוצים ביותר",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "תובנות חכמות",
|
||||
"recommendations": "המלצות"
|
||||
"recommendations": "המלצות",
|
||||
"noInsights": "אין תובנות זמינות",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "כמות גבוהה של LoRAs שאינן בשימוש",
|
||||
"description": "{percent}% מה-LoRAs שלך ({count}/{total}) מעולם לא נעשה בהם שימוש.",
|
||||
"suggestion": "שקול לארגן או לאחסן בארכיון מודלים שאינם בשימוש כדי לפנות שטח אחסון."
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "התגלו נקודות ביקורת שאינן בשימוש",
|
||||
"description": "{percent}% מנקודות הביקורת שלך ({count}/{total}) מעולם לא נעשה בהן שימוש.",
|
||||
"suggestion": "בדוק ושקול להסיר נקודות ביקורת שאינך צריך עוד."
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "כמות גבוהה של Embeddings שאינם בשימוש",
|
||||
"description": "{percent}% מה-Embeddings שלך ({count}/{total}) מעולם לא נעשה בהם שימוש.",
|
||||
"suggestion": "שקול לארגן או לאחסן בארכיון Embeddings שאינם בשימוש כדי לייעל את האוסף."
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "התגלה אוסף גדול",
|
||||
"description": "אוסף המודלים שלך משתמש ב-{size} של אחסון.",
|
||||
"suggestion": "שקול להשתמש באחסון חיצוני או בפתרונות ענן לארגון טוב יותר."
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "משתמש פעיל",
|
||||
"description": "השלמת {count} יצירות עד כה!",
|
||||
"suggestion": "המשך לחקור וליצור תוכן מדהים עם המודלים שלך."
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "סקירת אוסף",
|
||||
"baseModelDistribution": "התפלגות מודלי בסיס",
|
||||
"usageTrends": "מגמות שימוש (30 יום אחרונים)",
|
||||
"usageDistribution": "התפלגות שימוש"
|
||||
"usageDistribution": "התפלגות שימוש",
|
||||
"date": "תאריך",
|
||||
"usageCount": "מספר שימושים",
|
||||
"fileSizeBytes": "גודל קובץ (בתים)",
|
||||
"models": "דגמים",
|
||||
"loraUsage": "שימוש ב-LoRA",
|
||||
"checkpointUsage": "שימוש ב-Checkpoint",
|
||||
"embeddingUsage": "שימוש ב-Embedding"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "נקודת ביקורת",
|
||||
"diffusion_model": "מודל דיפוזיה",
|
||||
"embedding": "הטמעות"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "טוען...",
|
||||
"noModels": "לא נמצאו דגמים",
|
||||
"errorLoading": "שגיאה בטעינת נתונים",
|
||||
"noStorageData": "אין נתוני אחסון זמינים",
|
||||
"rootFolder": "שורש",
|
||||
"chartLibraryMissing": "הגרף דורש את ספריית Chart.js"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count} דגמים",
|
||||
"chartUsage": "{name}: {size}, {count} שימושים",
|
||||
"chartPercentage": "{label}: {value} ({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "תגית זו כבר קיימת"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "ניווט במקלדת:",
|
||||
"shortcuts": {
|
||||
"pageUp": "גלול עמוד אחד למעלה",
|
||||
"pageDown": "גלול עמוד אחד למטה",
|
||||
"home": "קפוץ להתחלה",
|
||||
"end": "קפוץ לסוף"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "מאתחל",
|
||||
"message": "מכין את סביבת העבודה שלך...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "מודל עודכן ב-workflow",
|
||||
"modelFailed": "עדכון צומת המודל נכשל",
|
||||
"embeddingAdded": "Embedding נוסף ל-workflow",
|
||||
"embeddingFailed": "הוספת Embedding נכשלה"
|
||||
"embeddingFailed": "הוספת Embedding נכשלה",
|
||||
"promptSent": "הנחיה נשלחה ל-workflow",
|
||||
"promptFailed": "שליחת ההנחיה נכשלה"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "מתכון",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "הנחיה",
|
||||
"replace": "החלף",
|
||||
"append": "הוסף",
|
||||
"selectTargetNode": "בחר צומת יעד",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "אנא הזן שם LoRA או תחביר",
|
||||
"reconnectedSuccessfully": "LoRA קושר מחדש בהצלחה",
|
||||
"reconnectFailed": "שגיאה בקישור מחדש של LoRA: {message}",
|
||||
"noPromptToSend": "אין הנחיה לשליחה",
|
||||
"cannotSend": "לא ניתן לשלוח מתכון: חסר מזהה מתכון",
|
||||
"sendFailed": "שליחת המתכון ל-workflow נכשלה",
|
||||
"sendError": "שגיאה בשליחת המתכון ל-workflow",
|
||||
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "使用回数"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} バージョン",
|
||||
"viewAllVersions": "ローカルの全バージョンを表示"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "除外モデルを管理"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "モデルでグループ化"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "統計"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "検索...",
|
||||
"placeholders": {
|
||||
"loras": "LoRAを検索...",
|
||||
"recipes": "レシピを検索...",
|
||||
"checkpoints": "checkpointを検索...",
|
||||
"embeddings": "embeddingを検索..."
|
||||
},
|
||||
"placeholder": "検索",
|
||||
"options": "検索オプション",
|
||||
"searchIn": "検索対象:",
|
||||
"notAvailable": "統計ページでは検索は利用できません",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "テーマの切り替え",
|
||||
"switchToLight": "ライトテーマに切り替え",
|
||||
"switchToDark": "ダークテーマに切り替え",
|
||||
"switchToAuto": "自動テーマに切り替え"
|
||||
"switchToAuto": "自動テーマに切り替え",
|
||||
"presets": "テーマプリセット",
|
||||
"default": "デフォルト",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "モード",
|
||||
"light": "ライト",
|
||||
"dark": "ダーク",
|
||||
"auto": "自動"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "更新確認",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Civitai APIキー",
|
||||
"civitaiApiKeyPlaceholder": "Civitai APIキーを入力してください",
|
||||
"civitaiApiKeyHelp": "Civitaiからモデルをダウンロードするときの認証に使用されます",
|
||||
"civitaiApiKeyConfigured": "設定済み",
|
||||
"civitaiApiKeyNotConfigured": "未設定",
|
||||
"civitaiApiKeySet": "設定",
|
||||
"civitaiHost": {
|
||||
"label": "Civitai ホスト",
|
||||
"help": "「View on Civitai」リンクを使うときに開く Civitai サイトを選択します。",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "ダウンロード",
|
||||
"videoSettings": "動画設定",
|
||||
"layoutSettings": "レイアウト設定",
|
||||
"licenseIcons": "ライセンスアイコン",
|
||||
"misc": "その他",
|
||||
"backup": "バックアップ",
|
||||
"folderSettings": "デフォルトルート",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "追加フォルダーパス",
|
||||
"downloadPathTemplates": "ダウンロードパステンプレート",
|
||||
"priorityTags": "優先タグ",
|
||||
"updateFlags": "アップデートフラグ",
|
||||
"versionScope": "アップデートフラグ",
|
||||
"exampleImages": "例画像",
|
||||
"autoOrganize": "自動整理",
|
||||
"metadata": "メタデータ",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "有効にすると、ダウンロード履歴サービスがそのバージョンが既にダウンロード済みと記録している場合、LoRA Managerはそのモデルバージョンのダウンロードをスキップします。すべてのダウンロードフローに適用されます。"
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "モデルでグループ化",
|
||||
"groupByModelHelp": "有効にすると、各Civitaiモデルの最新バージョンのみが1枚のカードとして表示され、古いバージョンは非表示になります。",
|
||||
"displayDensity": "表示密度",
|
||||
"displayDensityOptions": {
|
||||
"default": "デフォルト",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "ダウンロード",
|
||||
"restartRequired": "再起動が必要"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "アップデートフラグの表示戦略",
|
||||
"help": "新リリースがローカルファイルと同じベースモデルを共有する場合にのみ更新バッジを表示するか、そのモデルに新しいバージョンがあれば常に表示するかを決めます。",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "早期アクセス更新を非表示",
|
||||
"help": "早期アクセスのみの更新"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "更新されたライセンスアイコンを使用",
|
||||
"useNewStyleHelp": "カラーインジケーター付きでライセンス許可を表示(新スタイル)するか、制限のみのアイコンを表示(クラシックスタイル)します。現在のCivitAIデザインを反映しています。"
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "LoRA構文にトリガーワードを含める",
|
||||
"includeTriggerWordsHelp": "LoRA構文をクリップボードにコピーする際、学習済みトリガーワードを含めます",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "小さい順",
|
||||
"usage": "使用回数",
|
||||
"usageDesc": "多い",
|
||||
"usageAsc": "少ない"
|
||||
"usageAsc": "少ない",
|
||||
"versionsCount": "ローカルバージョン数",
|
||||
"versionsCountDesc": "バージョン数の多い順",
|
||||
"versionsCountAsc": "バージョン数の少ない順",
|
||||
"versionIdDesc": "最新バージョン順"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "モデルリストを更新",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "ストレージ",
|
||||
"insights": "インサイト"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "モデル総数",
|
||||
"totalStorage": "ストレージ合計",
|
||||
"totalGenerations": "生成回数合計",
|
||||
"usageRate": "使用率",
|
||||
"loras": "LoRA",
|
||||
"checkpoints": "Checkpoint",
|
||||
"embeddings": "Embedding",
|
||||
"uniqueTags": "ユニークタグ",
|
||||
"unusedModels": "未使用モデル",
|
||||
"avgUsesPerModel": "平均使用回数/モデル"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "最も使用されているLoRA",
|
||||
"mostUsedCheckpoints": "最も使用されているCheckpoint",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "スマートインサイト",
|
||||
"recommendations": "推奨事項"
|
||||
"recommendations": "推奨事項",
|
||||
"noInsights": "インサイトはありません",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "未使用のLoRAが多数あります",
|
||||
"description": "LoRAの{percent}%({count}/{total})が一度も使用されていません。",
|
||||
"suggestion": "未使用のモデルを整理またはアーカイブしてストレージを解放してください。"
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "未使用のCheckpointを検出",
|
||||
"description": "Checkpointの{percent}%({count}/{total})が一度も使用されていません。",
|
||||
"suggestion": "不要なCheckpointを確認して削除を検討してください。"
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "未使用のEmbeddingが多数あります",
|
||||
"description": "Embeddingの{percent}%({count}/{total})が一度も使用されていません。",
|
||||
"suggestion": "未使用のEmbeddingを整理またはアーカイブしてコレクションを最適化してください。"
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "大規模コレクションを検出",
|
||||
"description": "モデルコレクションが{size}のストレージを使用しています。",
|
||||
"suggestion": "外部ストレージやクラウドソリューションの使用を検討してください。"
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "アクティブユーザー",
|
||||
"description": "これまでに{count}回の生成を完了しました!",
|
||||
"suggestion": "モデルを使って素晴らしいコンテンツを作り続けてください。"
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "コレクション概要",
|
||||
"baseModelDistribution": "ベースモデル分布",
|
||||
"usageTrends": "使用傾向(過去30日)",
|
||||
"usageDistribution": "使用分布"
|
||||
"usageDistribution": "使用分布",
|
||||
"date": "日付",
|
||||
"usageCount": "使用回数",
|
||||
"fileSizeBytes": "ファイルサイズ(バイト)",
|
||||
"models": "モデル",
|
||||
"loraUsage": "LoRA 使用量",
|
||||
"checkpointUsage": "Checkpoint 使用量",
|
||||
"embeddingUsage": "Embedding 使用量"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Checkpoint",
|
||||
"diffusion_model": "拡散モデル",
|
||||
"embedding": "Embedding"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "読み込み中...",
|
||||
"noModels": "モデルが見つかりません",
|
||||
"errorLoading": "データ読み込みエラー",
|
||||
"noStorageData": "ストレージデータがありません",
|
||||
"rootFolder": "ルート",
|
||||
"chartLibraryMissing": "Chart.js ライブラリが必要です"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count} モデル",
|
||||
"chartUsage": "{name}: {size}, {count} 回使用",
|
||||
"chartPercentage": "{label}: {value} ({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "このタグは既に存在します"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "キーボードナビゲーション:",
|
||||
"shortcuts": {
|
||||
"pageUp": "1ページ上にスクロール",
|
||||
"pageDown": "1ページ下にスクロール",
|
||||
"home": "トップにジャンプ",
|
||||
"end": "ボトムにジャンプ"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "初期化中",
|
||||
"message": "ワークスペースを準備中...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"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",
|
||||
"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"
|
||||
"embeddingFailed": "Embeddingの追加に失敗しました",
|
||||
"promptSent": "プロンプトをワークフローに送信しました",
|
||||
"promptFailed": "プロンプトの送信に失敗しました"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "レシピ",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "プロンプト",
|
||||
"replace": "置換",
|
||||
"append": "追加",
|
||||
"selectTargetNode": "ターゲットノードを選択",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "LoRA名または構文を入力してください",
|
||||
"reconnectedSuccessfully": "LoRAが正常に再接続されました",
|
||||
"reconnectFailed": "LoRA再接続エラー:{message}",
|
||||
"noPromptToSend": "送信するプロンプトがありません",
|
||||
"cannotSend": "レシピを送信できません:レシピIDがありません",
|
||||
"sendFailed": "レシピのワークフローへの送信に失敗しました",
|
||||
"sendError": "レシピのワークフロー送信エラー",
|
||||
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "사용 횟수"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count}개 버전",
|
||||
"viewAllVersions": "모든 로컬 버전 보기"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "제외된 모델 관리"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "모델별 그룹화"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "통계"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "검색...",
|
||||
"placeholders": {
|
||||
"loras": "LoRA 검색...",
|
||||
"recipes": "레시피 검색...",
|
||||
"checkpoints": "Checkpoint 검색...",
|
||||
"embeddings": "Embedding 검색..."
|
||||
},
|
||||
"placeholder": "검색",
|
||||
"options": "검색 옵션",
|
||||
"searchIn": "검색 범위:",
|
||||
"notAvailable": "통계 페이지에서는 검색을 사용할 수 없습니다",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "테마 토글",
|
||||
"switchToLight": "라이트 테마로 전환",
|
||||
"switchToDark": "다크 테마로 전환",
|
||||
"switchToAuto": "자동 테마로 전환"
|
||||
"switchToAuto": "자동 테마로 전환",
|
||||
"presets": "테마 프리셋",
|
||||
"default": "기본",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "모드",
|
||||
"light": "라이트",
|
||||
"dark": "다크",
|
||||
"auto": "자동"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "업데이트 확인",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Civitai API 키",
|
||||
"civitaiApiKeyPlaceholder": "Civitai API 키를 입력하세요",
|
||||
"civitaiApiKeyHelp": "Civitai에서 모델을 다운로드할 때 인증에 사용됩니다",
|
||||
"civitaiApiKeyConfigured": "설정됨",
|
||||
"civitaiApiKeyNotConfigured": "설정되지 않음",
|
||||
"civitaiApiKeySet": "설정",
|
||||
"civitaiHost": {
|
||||
"label": "Civitai 호스트",
|
||||
"help": "\"View on Civitai\" 링크를 사용할 때 어떤 Civitai 사이트를 열지 선택합니다.",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "다운로드",
|
||||
"videoSettings": "비디오 설정",
|
||||
"layoutSettings": "레이아웃 설정",
|
||||
"licenseIcons": "라이선스 아이콘",
|
||||
"misc": "기타",
|
||||
"backup": "백업",
|
||||
"folderSettings": "기본 루트",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "추가 폴다 경로",
|
||||
"downloadPathTemplates": "다운로드 경로 템플릿",
|
||||
"priorityTags": "우선순위 태그",
|
||||
"updateFlags": "업데이트 표시",
|
||||
"versionScope": "업데이트 표시",
|
||||
"exampleImages": "예시 이미지",
|
||||
"autoOrganize": "자동 정리",
|
||||
"metadata": "메타데이터",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "활성화하면 다운로드 기록 서비스가 해당 버전이 이미 다운로드되었음을 기록한 경우 LoRA Manager는 해당 모델 버전 다운로드를 건너뜁니다. 모든 다운로드 플로우에 적용됩니다."
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "모델별 그룹화",
|
||||
"groupByModelHelp": "활성화하면 각 Civitai 모델의 최신 버전만 단일 카드로 표시되며, 이전 버전은 숨겨집니다.",
|
||||
"displayDensity": "표시 밀도",
|
||||
"displayDensityOptions": {
|
||||
"default": "기본",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "다운로드",
|
||||
"restartRequired": "재시작 필요"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "업데이트 표시 전략",
|
||||
"help": "새 릴리스가 로컬 파일과 동일한 베이스 모델을 공유할 때만 업데이트 배지를 표시할지, 또는 해당 모델에 사용 가능한 새 버전이 있으면 항상 표시할지 결정합니다.",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "얼리 액세스 업데이트 숨기기",
|
||||
"help": "얼리 액세스 업데이트만"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "업데이트된 라이선스 아이콘 사용",
|
||||
"useNewStyleHelp": "색상 표시기가 있는 라이선스 권한(새 스타일) 또는 제한 전용 아이콘(클래식 스타일)을 표시합니다. 현재 CivitAI 디자인을 반영합니다."
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "LoRA 문법에 트리거 단어 포함",
|
||||
"includeTriggerWordsHelp": "LoRA 문법을 클립보드에 복사할 때 학습된 트리거 단어를 포함합니다",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "작은 순서",
|
||||
"usage": "사용 횟수",
|
||||
"usageDesc": "많은 순",
|
||||
"usageAsc": "적은 순"
|
||||
"usageAsc": "적은 순",
|
||||
"versionsCount": "로컬 버전 수",
|
||||
"versionsCountDesc": "버전 수 많은 순",
|
||||
"versionsCountAsc": "버전 수 적은 순",
|
||||
"versionIdDesc": "최신 버전순"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "모델 목록 새로고침",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "저장소",
|
||||
"insights": "인사이트"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "모델 총계",
|
||||
"totalStorage": "총 저장 공간",
|
||||
"totalGenerations": "총 생성 횟수",
|
||||
"usageRate": "사용률",
|
||||
"loras": "LoRA",
|
||||
"checkpoints": "Checkpoint",
|
||||
"embeddings": "Embedding",
|
||||
"uniqueTags": "고유 태그",
|
||||
"unusedModels": "미사용 모델",
|
||||
"avgUsesPerModel": "모델당 평균 사용"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "가장 많이 사용된 LoRA",
|
||||
"mostUsedCheckpoints": "가장 많이 사용된 Checkpoint",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "스마트 인사이트",
|
||||
"recommendations": "추천"
|
||||
"recommendations": "추천",
|
||||
"noInsights": "인사이트 없음",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "사용하지 않은 LoRA가 많음",
|
||||
"description": "LoRA의 {percent}%({count}/{total})가 한 번도 사용되지 않았습니다.",
|
||||
"suggestion": "사용하지 않는 모델을 정리하거나 보관하여 저장 공간을 확보하세요."
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "사용하지 않은 Checkpoint 감지",
|
||||
"description": "Checkpoint의 {percent}%({count}/{total})가 한 번도 사용되지 않았습니다.",
|
||||
"suggestion": "더 이상 필요하지 않은 Checkpoint를 검토하고 제거하세요."
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "사용하지 않은 Embedding이 많음",
|
||||
"description": "Embedding의 {percent}%({count}/{total})가 한 번도 사용되지 않았습니다.",
|
||||
"suggestion": "사용하지 않는 Embedding을 정리하여 컬렉션을 최적화하세요."
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "대규모 컬렉션 감지",
|
||||
"description": "모델 컬렉션이 {size}의 저장 공간을 사용 중입니다.",
|
||||
"suggestion": "더 나은 관리를 위해 외부 저장소나 클라우드 솔루션을 고려하세요."
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "활성 사용자",
|
||||
"description": "지금까지 {count}번의 생성을 완료했습니다!",
|
||||
"suggestion": "모델로 계속해서 멋진 콘텐츠를 탐색하고 만들어보세요."
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "컬렉션 개요",
|
||||
"baseModelDistribution": "베이스 모델 분포",
|
||||
"usageTrends": "사용량 트렌드 (최근 30일)",
|
||||
"usageDistribution": "사용량 분포"
|
||||
"usageDistribution": "사용량 분포",
|
||||
"date": "날짜",
|
||||
"usageCount": "사용 횟수",
|
||||
"fileSizeBytes": "파일 크기(바이트)",
|
||||
"models": "모델",
|
||||
"loraUsage": "LoRA 사용량",
|
||||
"checkpointUsage": "Checkpoint 사용량",
|
||||
"embeddingUsage": "Embedding 사용량"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Checkpoint",
|
||||
"diffusion_model": "확산 모델",
|
||||
"embedding": "Embedding"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "로딩 중...",
|
||||
"noModels": "모델을 찾을 수 없음",
|
||||
"errorLoading": "데이터 로딩 오류",
|
||||
"noStorageData": "저장 데이터 없음",
|
||||
"rootFolder": "루트",
|
||||
"chartLibraryMissing": "Chart.js 라이브러리가 필요합니다"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count}개 모델",
|
||||
"chartUsage": "{name}: {size}, {count}회 사용",
|
||||
"chartPercentage": "{label}: {value}({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "이 태그는 이미 존재합니다"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "키보드 내비게이션:",
|
||||
"shortcuts": {
|
||||
"pageUp": "한 페이지 위로 스크롤",
|
||||
"pageDown": "한 페이지 아래로 스크롤",
|
||||
"home": "맨 위로 이동",
|
||||
"end": "맨 아래로 이동"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "초기화 중",
|
||||
"message": "작업공간을 준비하고 있습니다...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "모델이 워크플로에서 업데이트되었습니다",
|
||||
"modelFailed": "모델 노드 업데이트 실패",
|
||||
"embeddingAdded": "Embedding을 워크플로에 추가했습니다",
|
||||
"embeddingFailed": "Embedding 추가 실패"
|
||||
"embeddingFailed": "Embedding 추가 실패",
|
||||
"promptSent": "프롬프트를 워크플로에 보냈습니다",
|
||||
"promptFailed": "프롬프트 보내기 실패"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "레시피",
|
||||
"lora": "LoRA",
|
||||
"embedding": "임베딩",
|
||||
"prompt": "프롬프트",
|
||||
"replace": "교체",
|
||||
"append": "추가",
|
||||
"selectTargetNode": "대상 노드 선택",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "LoRA 이름 또는 문법을 입력해주세요",
|
||||
"reconnectedSuccessfully": "LoRA가 성공적으로 다시 연결되었습니다",
|
||||
"reconnectFailed": "LoRA 다시 연결 오류: {message}",
|
||||
"noPromptToSend": "보낼 프롬프트가 없습니다",
|
||||
"cannotSend": "레시피를 전송할 수 없습니다: 레시피 ID 누락",
|
||||
"sendFailed": "레시피를 워크플로로 전송하는데 실패했습니다",
|
||||
"sendError": "레시피를 워크플로로 전송하는 중 오류",
|
||||
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "Количество использований"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} версий",
|
||||
"viewAllVersions": "Показать все локальные версии"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "Управление исключёнными моделями"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "Группировать по модели"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "Статистика"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "Поиск...",
|
||||
"placeholders": {
|
||||
"loras": "Поиск LoRAs...",
|
||||
"recipes": "Поиск рецептов...",
|
||||
"checkpoints": "Поиск checkpoints...",
|
||||
"embeddings": "Поиск embeddings..."
|
||||
},
|
||||
"placeholder": "Поиск",
|
||||
"options": "Опции поиска",
|
||||
"searchIn": "Искать в:",
|
||||
"notAvailable": "Поиск недоступен на странице статистики",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "Переключить тему",
|
||||
"switchToLight": "Переключить на светлую тему",
|
||||
"switchToDark": "Переключить на тёмную тему",
|
||||
"switchToAuto": "Переключить на автоматическую тему"
|
||||
"switchToAuto": "Переключить на автоматическую тему",
|
||||
"presets": "Предустановки тем",
|
||||
"default": "По умолчанию",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "Режим",
|
||||
"light": "Светлый",
|
||||
"dark": "Тёмный",
|
||||
"auto": "Авто"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "Проверить обновления",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Ключ API Civitai",
|
||||
"civitaiApiKeyPlaceholder": "Введите ваш ключ API Civitai",
|
||||
"civitaiApiKeyHelp": "Используется для аутентификации при загрузке моделей с Civitai",
|
||||
"civitaiApiKeyConfigured": "Настроен",
|
||||
"civitaiApiKeyNotConfigured": "Не настроен",
|
||||
"civitaiApiKeySet": "Настроить",
|
||||
"civitaiHost": {
|
||||
"label": "Хост Civitai",
|
||||
"help": "Выберите, какой сайт Civitai будет открываться при использовании ссылок «View on Civitai».",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "Загрузки",
|
||||
"videoSettings": "Настройки видео",
|
||||
"layoutSettings": "Настройки макета",
|
||||
"licenseIcons": "Значки лицензии",
|
||||
"misc": "Разное",
|
||||
"backup": "Резервные копии",
|
||||
"folderSettings": "Корневые папки",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "Дополнительные пути к папкам",
|
||||
"downloadPathTemplates": "Шаблоны путей загрузки",
|
||||
"priorityTags": "Приоритетные теги",
|
||||
"updateFlags": "Метки обновлений",
|
||||
"versionScope": "Метки обновлений",
|
||||
"exampleImages": "Примеры изображений",
|
||||
"autoOrganize": "Автоорганизация",
|
||||
"metadata": "Метаданные",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "Если включено, LoRA Manager будет пропускать загрузку версии модели, если сервис истории загрузок записал, что эта конкретная версия уже загружена. Применяется ко всем потокам загрузки."
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "Группировать по модели",
|
||||
"groupByModelHelp": "При включении отображается только последняя версия каждой модели Civitai в виде одной карточки. Старые версии скрыты.",
|
||||
"displayDensity": "Плотность отображения",
|
||||
"displayDensityOptions": {
|
||||
"default": "По умолчанию",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "Загрузить",
|
||||
"restartRequired": "Требует перезапуска"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "Стратегия меток обновлений",
|
||||
"help": "Выберите, отображать ли значки обновления только когда новая версия имеет тот же базовый модель, что и локальные файлы, или всегда при наличии любого нового релиза для этой модели.",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "Скрыть обновления раннего доступа",
|
||||
"help": "Только обновления раннего доступа"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "Использовать обновлённые значки лицензии",
|
||||
"useNewStyleHelp": "Отображать разрешения лицензии с цветными индикаторами (новый стиль) или только значки ограничений (классический стиль). Соответствует текущему дизайну CivitAI."
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "Включать триггерные слова в синтаксис LoRA",
|
||||
"includeTriggerWordsHelp": "Включать обученные триггерные слова при копировании синтаксиса LoRA в буфер обмена",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "Наименьшим",
|
||||
"usage": "Число использований",
|
||||
"usageDesc": "Больше",
|
||||
"usageAsc": "Меньше"
|
||||
"usageAsc": "Меньше",
|
||||
"versionsCount": "Локальные версии",
|
||||
"versionsCountDesc": "Сначала больше версий",
|
||||
"versionsCountAsc": "Сначала меньше версий",
|
||||
"versionIdDesc": "Сначала новые версии"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "Обновить список моделей",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "Хранение",
|
||||
"insights": "Аналитика"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "Всего моделей",
|
||||
"totalStorage": "Всего хранилища",
|
||||
"totalGenerations": "Всего генераций",
|
||||
"usageRate": "Коэффициент использования",
|
||||
"loras": "LoRA",
|
||||
"checkpoints": "Контрольные точки",
|
||||
"embeddings": "Эмбеддинги",
|
||||
"uniqueTags": "Уникальные теги",
|
||||
"unusedModels": "Неиспользуемые модели",
|
||||
"avgUsesPerModel": "Сред. использований/модель"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "Наиболее используемые LoRAs",
|
||||
"mostUsedCheckpoints": "Наиболее используемые Checkpoints",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "Умная аналитика",
|
||||
"recommendations": "Рекомендации"
|
||||
"recommendations": "Рекомендации",
|
||||
"noInsights": "Нет доступных данных",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "Большое количество неиспользуемых LoRA",
|
||||
"description": "{percent}% ваших LoRA ({count}/{total}) никогда не использовались.",
|
||||
"suggestion": "Рассмотрите возможность организации или архивирования неиспользуемых моделей для освобождения места."
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "Обнаружены неиспользуемые контрольные точки",
|
||||
"description": "{percent}% ваших контрольных точек ({count}/{total}) никогда не использовались.",
|
||||
"suggestion": "Проверьте и удалите ненужные контрольные точки."
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "Большое количество неиспользуемых эмбеддингов",
|
||||
"description": "{percent}% ваших эмбеддингов ({count}/{total}) никогда не использовались.",
|
||||
"suggestion": "Организуйте или архивируйте неиспользуемые эмбеддинги для оптимизации коллекции."
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "Обнаружена большая коллекция",
|
||||
"description": "Ваша коллекция моделей использует {size} хранилища.",
|
||||
"suggestion": "Рассмотрите внешнее хранилище или облачные решения для лучшей организации."
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "Активный пользователь",
|
||||
"description": "Вы завершили {count} генераций!",
|
||||
"suggestion": "Продолжайте исследовать и создавать удивительный контент с вашими моделями."
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "Обзор коллекции",
|
||||
"baseModelDistribution": "Распределение базовых моделей",
|
||||
"usageTrends": "Тенденции использования (за последние 30 дней)",
|
||||
"usageDistribution": "Распределение использования"
|
||||
"usageDistribution": "Распределение использования",
|
||||
"date": "Дата",
|
||||
"usageCount": "Количество использований",
|
||||
"fileSizeBytes": "Размер файла (байты)",
|
||||
"models": "Модели",
|
||||
"loraUsage": "Использование LoRA",
|
||||
"checkpointUsage": "Использование Checkpoint",
|
||||
"embeddingUsage": "Использование Embedding"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Контрольная точка",
|
||||
"diffusion_model": "Диффузионная модель",
|
||||
"embedding": "Эмбеддинги"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "Загрузка...",
|
||||
"noModels": "Модели не найдены",
|
||||
"errorLoading": "Ошибка загрузки данных",
|
||||
"noStorageData": "Нет данных о хранилище",
|
||||
"rootFolder": "Корень",
|
||||
"chartLibraryMissing": "Для графика требуется библиотека Chart.js"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}: {count} моделей",
|
||||
"chartUsage": "{name}: {size}, {count} использований",
|
||||
"chartPercentage": "{label}: {value} ({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "Этот тег уже существует"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "Навигация с клавиатуры:",
|
||||
"shortcuts": {
|
||||
"pageUp": "Прокрутить на страницу вверх",
|
||||
"pageDown": "Прокрутить на страницу вниз",
|
||||
"home": "Перейти к началу",
|
||||
"end": "Перейти к концу"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "Инициализация",
|
||||
"message": "Подготовка вашего рабочего пространства...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "Модель обновлена в workflow",
|
||||
"modelFailed": "Не удалось обновить узел модели",
|
||||
"embeddingAdded": "Embedding добавлен в workflow",
|
||||
"embeddingFailed": "Не удалось добавить embedding"
|
||||
"embeddingFailed": "Не удалось добавить embedding",
|
||||
"promptSent": "Запрос отправлен в workflow",
|
||||
"promptFailed": "Не удалось отправить запрос"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "Рецепт",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Эмбеддинг",
|
||||
"prompt": "Запрос",
|
||||
"replace": "Заменить",
|
||||
"append": "Добавить",
|
||||
"selectTargetNode": "Выберите целевой узел",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "Пожалуйста, введите название LoRA или синтаксис",
|
||||
"reconnectedSuccessfully": "LoRA успешно переподключена",
|
||||
"reconnectFailed": "Ошибка переподключения LoRA: {message}",
|
||||
"noPromptToSend": "Нет запроса для отправки",
|
||||
"cannotSend": "Невозможно отправить рецепт: отсутствует ID рецепта",
|
||||
"sendFailed": "Не удалось отправить рецепт в workflow",
|
||||
"sendError": "Ошибка отправки рецепта в workflow",
|
||||
|
||||
+124
-27
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "使用次数"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} 个版本",
|
||||
"viewAllVersions": "查看所有本地版本"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "管理已排除的模型"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "按模型分组"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "统计"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "搜索...",
|
||||
"placeholders": {
|
||||
"loras": "搜索 LoRA...",
|
||||
"recipes": "搜索配方...",
|
||||
"checkpoints": "搜索 Checkpoint...",
|
||||
"embeddings": "搜索 Embedding..."
|
||||
},
|
||||
"placeholder": "搜索",
|
||||
"options": "搜索选项",
|
||||
"searchIn": "搜索范围:",
|
||||
"notAvailable": "统计页面不可用搜索",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "切换主题",
|
||||
"switchToLight": "切换到浅色主题",
|
||||
"switchToDark": "切换到深色主题",
|
||||
"switchToAuto": "切换到自动主题"
|
||||
"switchToAuto": "切换到自动主题",
|
||||
"presets": "主题预设",
|
||||
"default": "默认",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "模式",
|
||||
"light": "浅色",
|
||||
"dark": "深色",
|
||||
"auto": "自动"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "检查更新",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Civitai API 密钥",
|
||||
"civitaiApiKeyPlaceholder": "请输入你的 Civitai API 密钥",
|
||||
"civitaiApiKeyHelp": "用于从 Civitai 下载模型时的身份验证",
|
||||
"civitaiApiKeyConfigured": "已配置",
|
||||
"civitaiApiKeyNotConfigured": "未配置",
|
||||
"civitaiApiKeySet": "设置",
|
||||
"civitaiHost": {
|
||||
"label": "Civitai 站点",
|
||||
"help": "选择使用“在 Civitai 中查看”时默认打开的 Civitai 站点。",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "下载",
|
||||
"videoSettings": "视频设置",
|
||||
"layoutSettings": "布局设置",
|
||||
"licenseIcons": "许可协议图标",
|
||||
"misc": "其他",
|
||||
"backup": "备份",
|
||||
"folderSettings": "默认根目录",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "额外文件夹路径",
|
||||
"downloadPathTemplates": "下载路径模板",
|
||||
"priorityTags": "优先标签",
|
||||
"updateFlags": "更新标记",
|
||||
"versionScope": "版本范围",
|
||||
"exampleImages": "示例图片",
|
||||
"autoOrganize": "自动整理",
|
||||
"metadata": "元数据",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "启用后,如果下载历史服务记录显示该版本已下载,LoRA Manager 将跳过下载该模型版本。适用于所有下载流程。"
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "按模型分组",
|
||||
"groupByModelHelp": "开启后,每个 Civitai 模型仅显示最新版本的单张卡片,旧版本将被隐藏。",
|
||||
"displayDensity": "显示密度",
|
||||
"displayDensityOptions": {
|
||||
"default": "默认",
|
||||
@@ -571,18 +589,22 @@
|
||||
"download": "下载",
|
||||
"restartRequired": "需要重启"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"label": "更新标记策略",
|
||||
"help": "决定更新徽章是否仅在新版本与本地文件共享相同基础模型时显示,或只要该模型有任何更新版本就显示。",
|
||||
"versionGrouping": {
|
||||
"label": "版本分组",
|
||||
"help": "控制版本在 UI 中的分组方式:按基础模型分组或合并显示。同时影响更新徽章逻辑和版本列表的筛选行为。",
|
||||
"options": {
|
||||
"sameBase": "按基础模型匹配更新",
|
||||
"any": "显示任何可用更新"
|
||||
"sameBase": "按基础模型分组",
|
||||
"any": "显示所有版本"
|
||||
}
|
||||
},
|
||||
"hideEarlyAccessUpdates": {
|
||||
"label": "隐藏抢先体验更新",
|
||||
"help": "抢先体验更新"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "使用新版许可协议图标",
|
||||
"useNewStyleHelp": "以彩色指示器显示许可权限(新样式),或仅显示限制图标(经典样式)。与当前 CivitAI 设计保持一致。"
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "复制 LoRA 语法时包含触发词",
|
||||
"includeTriggerWordsHelp": "复制 LoRA 语法到剪贴板时包含训练触发词",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "最小",
|
||||
"usage": "使用次数",
|
||||
"usageDesc": "最多",
|
||||
"usageAsc": "最少"
|
||||
"usageAsc": "最少",
|
||||
"versionsCount": "本地版本数",
|
||||
"versionsCountDesc": "版本数从多到少",
|
||||
"versionsCountAsc": "版本数从少到多",
|
||||
"versionIdDesc": "最新版本优先"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "刷新模型列表",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "存储",
|
||||
"insights": "洞察"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "模型总数",
|
||||
"totalStorage": "总存储空间",
|
||||
"totalGenerations": "总生成次数",
|
||||
"usageRate": "使用率",
|
||||
"loras": "LoRA",
|
||||
"checkpoints": "Checkpoint",
|
||||
"embeddings": "Embedding",
|
||||
"uniqueTags": "唯一标签",
|
||||
"unusedModels": "未使用模型",
|
||||
"avgUsesPerModel": "平均使用次数/模型"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "最常用 LoRA",
|
||||
"mostUsedCheckpoints": "最常用 Checkpoint",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "智能洞察",
|
||||
"recommendations": "推荐"
|
||||
"recommendations": "推荐",
|
||||
"noInsights": "暂无可用洞察",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "大量未使用的 LoRA",
|
||||
"description": "你的 LoRA 中有 {percent}%({count}/{total})从未被使用过。",
|
||||
"suggestion": "考虑整理或归档未使用的模型以释放存储空间。"
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "检测到未使用的 Checkpoint",
|
||||
"description": "你的 Checkpoint 中有 {percent}%({count}/{total})从未被使用过。",
|
||||
"suggestion": "审查并考虑删除不再需要的 Checkpoint。"
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "大量未使用的 Embedding",
|
||||
"description": "你的 Embedding 中有 {percent}%({count}/{total})从未被使用过。",
|
||||
"suggestion": "考虑整理或归档未使用的 Embedding 以优化你的收藏。"
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "检测到大型收藏",
|
||||
"description": "你的模型收藏正在使用 {size} 的存储空间。",
|
||||
"suggestion": "考虑使用外部存储或云解决方案以获得更好的组织。"
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "活跃用户",
|
||||
"description": "你已经完成了 {count} 次生成!",
|
||||
"suggestion": "继续探索并用你的模型创作精彩内容。"
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "收藏概览",
|
||||
"baseModelDistribution": "基础模型分布",
|
||||
"usageTrends": "使用趋势(最近30天)",
|
||||
"usageDistribution": "使用分布"
|
||||
"usageDistribution": "使用分布",
|
||||
"date": "日期",
|
||||
"usageCount": "使用次数",
|
||||
"fileSizeBytes": "文件大小(字节)",
|
||||
"models": "模型",
|
||||
"loraUsage": "LoRA 使用量",
|
||||
"checkpointUsage": "Checkpoint 使用量",
|
||||
"embeddingUsage": "Embedding 使用量"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Checkpoint",
|
||||
"diffusion_model": "扩散模型",
|
||||
"embedding": "Embedding"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "加载中...",
|
||||
"noModels": "未找到模型",
|
||||
"errorLoading": "数据加载失败",
|
||||
"noStorageData": "暂无存储数据",
|
||||
"rootFolder": "根目录",
|
||||
"chartLibraryMissing": "需要 Chart.js 库来显示图表"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}:{count} 个模型",
|
||||
"chartUsage": "{name}:{size},{count} 次使用",
|
||||
"chartPercentage": "{label}:{value}({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "该标签已存在"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "键盘导航:",
|
||||
"shortcuts": {
|
||||
"pageUp": "向上一页滚动",
|
||||
"pageDown": "向下一页滚动",
|
||||
"home": "跳到顶部",
|
||||
"end": "跳到底部"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "初始化",
|
||||
"message": "正在准备你的工作空间...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "模型已更新到工作流",
|
||||
"modelFailed": "更新模型节点失败",
|
||||
"embeddingAdded": "Embedding 已追加到工作流",
|
||||
"embeddingFailed": "添加 Embedding 失败"
|
||||
"embeddingFailed": "添加 Embedding 失败",
|
||||
"promptSent": "提示词已发送到工作流",
|
||||
"promptFailed": "提示词发送失败"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "配方",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "提示词",
|
||||
"replace": "替换",
|
||||
"append": "追加",
|
||||
"selectTargetNode": "选择目标节点",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "请输入 LoRA 名称或语法",
|
||||
"reconnectedSuccessfully": "LoRA 重新连接成功",
|
||||
"reconnectFailed": "LoRA 重新连接出错:{message}",
|
||||
"noPromptToSend": "没有可发送的提示词",
|
||||
"cannotSend": "无法发送配方:缺少配方 ID",
|
||||
"sendFailed": "发送配方到工作流失败",
|
||||
"sendError": "发送配方到工作流出错",
|
||||
|
||||
+120
-23
@@ -145,6 +145,10 @@
|
||||
},
|
||||
"usage": {
|
||||
"timesUsed": "使用次數"
|
||||
},
|
||||
"footer": {
|
||||
"versionCount": "{count} 個版本",
|
||||
"viewAllVersions": "檢視所有本地版本"
|
||||
}
|
||||
},
|
||||
"globalContextMenu": {
|
||||
@@ -183,6 +187,9 @@
|
||||
},
|
||||
"manageExcludedModels": {
|
||||
"label": "管理已排除的模型"
|
||||
},
|
||||
"groupByModel": {
|
||||
"label": "按模型分組"
|
||||
}
|
||||
},
|
||||
"header": {
|
||||
@@ -195,13 +202,7 @@
|
||||
"statistics": "統計"
|
||||
},
|
||||
"search": {
|
||||
"placeholder": "搜尋...",
|
||||
"placeholders": {
|
||||
"loras": "搜尋 LoRA...",
|
||||
"recipes": "搜尋配方...",
|
||||
"checkpoints": "搜尋 checkpoint...",
|
||||
"embeddings": "搜尋 embedding..."
|
||||
},
|
||||
"placeholder": "搜尋",
|
||||
"options": "搜尋選項",
|
||||
"searchIn": "搜尋範圍:",
|
||||
"notAvailable": "統計頁面無法搜尋",
|
||||
@@ -251,7 +252,18 @@
|
||||
"toggle": "切換主題",
|
||||
"switchToLight": "切換至淺色主題",
|
||||
"switchToDark": "切換至深色主題",
|
||||
"switchToAuto": "自動主題"
|
||||
"switchToAuto": "自動主題",
|
||||
"presets": "主題預設",
|
||||
"default": "預設",
|
||||
"nord": "Nord",
|
||||
"midnight": "Midnight",
|
||||
"monokai": "Monokai",
|
||||
"dracula": "Dracula",
|
||||
"solarized": "Solarized",
|
||||
"mode": "模式",
|
||||
"light": "淺色",
|
||||
"dark": "深色",
|
||||
"auto": "自動"
|
||||
},
|
||||
"actions": {
|
||||
"checkUpdates": "檢查更新",
|
||||
@@ -263,6 +275,9 @@
|
||||
"civitaiApiKey": "Civitai API 金鑰",
|
||||
"civitaiApiKeyPlaceholder": "請輸入您的 Civitai API 金鑰",
|
||||
"civitaiApiKeyHelp": "用於從 Civitai 下載模型時的身份驗證",
|
||||
"civitaiApiKeyConfigured": "已設定",
|
||||
"civitaiApiKeyNotConfigured": "未設定",
|
||||
"civitaiApiKeySet": "設定",
|
||||
"civitaiHost": {
|
||||
"label": "Civitai 站點",
|
||||
"help": "選擇使用「在 Civitai 中查看」時預設開啟的 Civitai 站點。",
|
||||
@@ -303,6 +318,7 @@
|
||||
"downloads": "下載",
|
||||
"videoSettings": "影片設定",
|
||||
"layoutSettings": "版面設定",
|
||||
"licenseIcons": "許可協議圖標",
|
||||
"misc": "其他",
|
||||
"backup": "備份",
|
||||
"folderSettings": "預設根目錄",
|
||||
@@ -310,7 +326,7 @@
|
||||
"extraFolderPaths": "額外資料夾路徑",
|
||||
"downloadPathTemplates": "下載路徑範本",
|
||||
"priorityTags": "優先標籤",
|
||||
"updateFlags": "更新標記",
|
||||
"versionScope": "版本範圍",
|
||||
"exampleImages": "範例圖片",
|
||||
"autoOrganize": "自動整理",
|
||||
"metadata": "中繼資料",
|
||||
@@ -415,6 +431,8 @@
|
||||
"help": "啟用後,如果下載歷史服務記錄顯示該版本已下載,LoRA Manager 將跳過下載該模型版本。適用於所有下載流程。"
|
||||
},
|
||||
"layoutSettings": {
|
||||
"groupByModel": "按模型分組",
|
||||
"groupByModelHelp": "啟用後,每個 Civitai 模型僅顯示最新版本的單張卡片,舊版本將被隱藏。",
|
||||
"displayDensity": "顯示密度",
|
||||
"displayDensityOptions": {
|
||||
"default": "預設",
|
||||
@@ -571,7 +589,7 @@
|
||||
"download": "下載",
|
||||
"restartRequired": "需要重新啟動"
|
||||
},
|
||||
"updateFlagStrategy": {
|
||||
"versionGrouping": {
|
||||
"label": "更新標記策略",
|
||||
"help": "決定更新徽章是否僅在新版本與本地檔案共享相同基礎模型時顯示,或只要該模型有任何更新版本就顯示。",
|
||||
"options": {
|
||||
@@ -583,6 +601,10 @@
|
||||
"label": "隱藏搶先體驗更新",
|
||||
"help": "搶先體驗更新"
|
||||
},
|
||||
"licenseIcons": {
|
||||
"useNewStyle": "使用新版許可協議圖標",
|
||||
"useNewStyleHelp": "以彩色指示器顯示許可權限(新樣式),或僅顯示限制圖標(經典樣式)。與當前 CivitAI 設計保持一致。"
|
||||
},
|
||||
"misc": {
|
||||
"includeTriggerWords": "在 LoRA 語法中包含觸發詞",
|
||||
"includeTriggerWordsHelp": "複製 LoRA 語法到剪貼簿時包含訓練觸發詞",
|
||||
@@ -651,7 +673,11 @@
|
||||
"sizeAsc": "最小",
|
||||
"usage": "使用次數",
|
||||
"usageDesc": "最多",
|
||||
"usageAsc": "最少"
|
||||
"usageAsc": "最少",
|
||||
"versionsCount": "本地版本數",
|
||||
"versionsCountDesc": "版本數從多到少",
|
||||
"versionsCountAsc": "版本數從少到多",
|
||||
"versionIdDesc": "最新版本優先"
|
||||
},
|
||||
"refresh": {
|
||||
"title": "重新整理模型列表",
|
||||
@@ -997,6 +1023,18 @@
|
||||
"storage": "儲存空間",
|
||||
"insights": "洞察"
|
||||
},
|
||||
"metrics": {
|
||||
"totalModels": "模型總數",
|
||||
"totalStorage": "總儲存空間",
|
||||
"totalGenerations": "總生成次數",
|
||||
"usageRate": "使用率",
|
||||
"loras": "LoRA",
|
||||
"checkpoints": "Checkpoint",
|
||||
"embeddings": "Embedding",
|
||||
"uniqueTags": "唯一標籤",
|
||||
"unusedModels": "未使用模型",
|
||||
"avgUsesPerModel": "平均使用次數/模型"
|
||||
},
|
||||
"usage": {
|
||||
"mostUsedLoras": "最常用的 LoRA",
|
||||
"mostUsedCheckpoints": "最常用的 Checkpoint",
|
||||
@@ -1014,13 +1052,77 @@
|
||||
},
|
||||
"insights": {
|
||||
"smartInsights": "智慧洞察",
|
||||
"recommendations": "推薦"
|
||||
"recommendations": "推薦",
|
||||
"noInsights": "暫無可用洞察",
|
||||
"unusedLoras": {
|
||||
"high": {
|
||||
"title": "大量未使用的 LoRA",
|
||||
"description": "你的 LoRA 中有 {percent}%({count}/{total})從未被使用過。",
|
||||
"suggestion": "考慮整理或封存未使用的模型以釋放儲存空間。"
|
||||
}
|
||||
},
|
||||
"unusedCheckpoints": {
|
||||
"detected": {
|
||||
"title": "檢測到未使用的 Checkpoint",
|
||||
"description": "你的 Checkpoint 中有 {percent}%({count}/{total})從未被使用過。",
|
||||
"suggestion": "審查並考慮刪除不再需要的 Checkpoint。"
|
||||
}
|
||||
},
|
||||
"unusedEmbeddings": {
|
||||
"high": {
|
||||
"title": "大量未使用的 Embedding",
|
||||
"description": "你的 Embedding 中有 {percent}%({count}/{total})從未被使用過。",
|
||||
"suggestion": "考慮整理或封存未使用的 Embedding 以優化你的收藏。"
|
||||
}
|
||||
},
|
||||
"collection": {
|
||||
"large": {
|
||||
"title": "檢測到大型收藏",
|
||||
"description": "你的模型收藏正在使用 {size} 的儲存空間。",
|
||||
"suggestion": "考慮使用外部儲存或雲端解決方案以獲得更好的組織。"
|
||||
}
|
||||
},
|
||||
"activity": {
|
||||
"active": {
|
||||
"title": "活躍用戶",
|
||||
"description": "你已經完成了 {count} 次生成!",
|
||||
"suggestion": "繼續探索並用你的模型創作精彩內容。"
|
||||
}
|
||||
}
|
||||
},
|
||||
"charts": {
|
||||
"collectionOverview": "收藏總覽",
|
||||
"baseModelDistribution": "基礎模型分布",
|
||||
"usageTrends": "使用趨勢(最近 30 天)",
|
||||
"usageDistribution": "使用分布"
|
||||
"usageDistribution": "使用分布",
|
||||
"date": "日期",
|
||||
"usageCount": "使用次數",
|
||||
"fileSizeBytes": "檔案大小(位元組)",
|
||||
"models": "模型",
|
||||
"loraUsage": "LoRA 使用量",
|
||||
"checkpointUsage": "Checkpoint 使用量",
|
||||
"embeddingUsage": "Embedding 使用量"
|
||||
},
|
||||
"modelTypes": {
|
||||
"lora": "LoRA",
|
||||
"locon": "LyCORIS",
|
||||
"dora": "DoRA",
|
||||
"checkpoint": "Checkpoint",
|
||||
"diffusion_model": "擴散模型",
|
||||
"embedding": "Embedding"
|
||||
},
|
||||
"placeholders": {
|
||||
"loading": "載入中...",
|
||||
"noModels": "找不到模型",
|
||||
"errorLoading": "資料載入失敗",
|
||||
"noStorageData": "暫無儲存資料",
|
||||
"rootFolder": "根目錄",
|
||||
"chartLibraryMissing": "需要 Chart.js 函式庫來顯示圖表"
|
||||
},
|
||||
"tooltips": {
|
||||
"tagCount": "{tag}:{count} 個模型",
|
||||
"chartUsage": "{name}:{size},{count} 次使用",
|
||||
"chartPercentage": "{label}:{value}({pct}%)"
|
||||
}
|
||||
},
|
||||
"modals": {
|
||||
@@ -1424,15 +1526,6 @@
|
||||
"duplicate": "此標籤已存在"
|
||||
}
|
||||
},
|
||||
"keyboard": {
|
||||
"navigation": "鍵盤導覽:",
|
||||
"shortcuts": {
|
||||
"pageUp": "向上捲動一頁",
|
||||
"pageDown": "向下捲動一頁",
|
||||
"home": "跳至頂部",
|
||||
"end": "跳至底部"
|
||||
}
|
||||
},
|
||||
"initialization": {
|
||||
"title": "初始化",
|
||||
"message": "正在準備您的工作區...",
|
||||
@@ -1522,12 +1615,15 @@
|
||||
"modelUpdated": "模型已更新到工作流",
|
||||
"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"
|
||||
"embeddingFailed": "傳送 Embedding 到工作流失敗",
|
||||
"promptSent": "提示詞已發送到工作流",
|
||||
"promptFailed": "提示詞發送失敗"
|
||||
},
|
||||
"nodeSelector": {
|
||||
"recipe": "配方",
|
||||
"lora": "LoRA",
|
||||
"embedding": "Embedding",
|
||||
"prompt": "提示詞",
|
||||
"replace": "取代",
|
||||
"append": "附加",
|
||||
"selectTargetNode": "選擇目標節點",
|
||||
@@ -1714,6 +1810,7 @@
|
||||
"enterLoraName": "請輸入 LoRA 名稱或語法",
|
||||
"reconnectedSuccessfully": "LoRA 重新連結成功",
|
||||
"reconnectFailed": "LoRA 重新連結錯誤:{message}",
|
||||
"noPromptToSend": "沒有可發送的提示詞",
|
||||
"cannotSend": "無法傳送配方:缺少配方 ID",
|
||||
"sendFailed": "傳送配方到工作流失敗",
|
||||
"sendError": "傳送配方到工作流錯誤",
|
||||
|
||||
@@ -901,6 +901,55 @@ class LoraLoaderManagerExtractor(NodeMetadataExtractor):
|
||||
"node_id": node_id
|
||||
}
|
||||
|
||||
class LoraTextLoaderManagerExtractor(NodeMetadataExtractor):
|
||||
"""Extract LoRA metadata from LoraTextLoaderLM (LoRA Text Loader).
|
||||
|
||||
The node accepts a `lora_syntax` STRING containing <lora:name:strength> tags
|
||||
(same format as the ComfyUI prompt), plus an optional `lora_stack`.
|
||||
This extractor parses the syntax string using the same regex as the node.
|
||||
"""
|
||||
@staticmethod
|
||||
def extract(node_id, inputs, outputs, metadata):
|
||||
if not inputs:
|
||||
return
|
||||
|
||||
active_loras = []
|
||||
|
||||
# Process lora_stack if available (optional input)
|
||||
if "lora_stack" in inputs:
|
||||
lora_stack = inputs.get("lora_stack", [])
|
||||
for item in lora_stack:
|
||||
# lora_stack entries are (path, model_strength, clip_strength) tuples
|
||||
if isinstance(item, (list, tuple)) and len(item) >= 2:
|
||||
lora_path = item[0]
|
||||
model_strength = item[1]
|
||||
lora_name = os.path.splitext(os.path.basename(lora_path))[0]
|
||||
active_loras.append({
|
||||
"name": lora_name,
|
||||
"strength": round(float(model_strength), 2)
|
||||
})
|
||||
|
||||
# Process lora_syntax string input
|
||||
if "lora_syntax" in inputs:
|
||||
lora_syntax = inputs.get("lora_syntax", "")
|
||||
if lora_syntax and isinstance(lora_syntax, str):
|
||||
pattern = r"<lora:([^:>]+):([^:>]+)(?::([^:>]+))?>"
|
||||
matches = re.findall(pattern, lora_syntax, re.IGNORECASE)
|
||||
for match in matches:
|
||||
lora_name = match[0]
|
||||
model_strength = float(match[1])
|
||||
active_loras.append({
|
||||
"name": lora_name,
|
||||
"strength": round(model_strength, 2)
|
||||
})
|
||||
|
||||
if active_loras:
|
||||
metadata[LORAS][node_id] = {
|
||||
"lora_list": active_loras,
|
||||
"node_id": node_id
|
||||
}
|
||||
|
||||
|
||||
class FluxGuidanceExtractor(NodeMetadataExtractor):
|
||||
@staticmethod
|
||||
def extract(node_id, inputs, outputs, metadata):
|
||||
@@ -1146,6 +1195,7 @@ NODE_EXTRACTORS = {
|
||||
"UNETLoaderLM": UNETLoaderExtractor, # LoRA Manager
|
||||
"LoraLoader": LoraLoaderExtractor,
|
||||
"LoraLoaderLM": LoraLoaderManagerExtractor,
|
||||
"LoraTextLoaderLM": LoraTextLoaderManagerExtractor,
|
||||
"RgthreePowerLoraLoader": RgthreePowerLoraLoaderExtractor,
|
||||
"TensorRTLoader": TensorRTLoaderExtractor,
|
||||
# Conditioning
|
||||
|
||||
@@ -608,7 +608,7 @@ class SaveImageLM:
|
||||
img = Image.fromarray(np.clip(img, 0, 255).astype(np.uint8))
|
||||
|
||||
# Generate filename with counter if needed
|
||||
base_filename = filename
|
||||
base_filename = filename.replace("%batch_num%", str(i))
|
||||
if add_counter_to_filename:
|
||||
# Use counter + i to ensure unique filenames for all images in batch
|
||||
current_counter = counter + i
|
||||
|
||||
@@ -49,7 +49,10 @@ from ...utils.constants import (
|
||||
VALID_LORA_TYPES,
|
||||
)
|
||||
from ...utils.civitai_utils import rewrite_preview_url
|
||||
from ...utils.example_images_paths import is_valid_example_images_root
|
||||
from ...utils.example_images_paths import (
|
||||
find_non_compliant_items_in_example_images_root,
|
||||
is_valid_example_images_root,
|
||||
)
|
||||
from ...utils.lora_metadata import extract_trained_words
|
||||
from ...utils.session_logging import get_standalone_session_log_snapshot
|
||||
from ...utils.usage_stats import UsageStats
|
||||
@@ -532,6 +535,7 @@ class NodeRegistry:
|
||||
"capabilities": capabilities,
|
||||
"widget_names": widget_names,
|
||||
"mode": node.get("mode"),
|
||||
"marker_role": node.get("marker_role"),
|
||||
}
|
||||
logger.debug("Registered %s nodes in registry", len(nodes))
|
||||
self._registry_updated.set()
|
||||
@@ -1328,6 +1332,9 @@ class SettingsHandler:
|
||||
"folder_paths",
|
||||
"libraries",
|
||||
"active_library",
|
||||
# Sensitive — never expose the actual value to the frontend;
|
||||
# frontend receives a boolean instead (civitai_api_key_set).
|
||||
"civitai_api_key",
|
||||
}
|
||||
)
|
||||
|
||||
@@ -1382,6 +1389,9 @@ class SettingsHandler:
|
||||
value = self._settings.get(key)
|
||||
if value is not None:
|
||||
response_data[key] = value
|
||||
# Sensitive fields: only expose a boolean indicating whether set
|
||||
raw_key = self._settings.get("civitai_api_key")
|
||||
response_data["civitai_api_key_set"] = bool(raw_key)
|
||||
settings_file = getattr(self._settings, "settings_file", None)
|
||||
if settings_file:
|
||||
response_data["settings_file"] = settings_file
|
||||
@@ -1492,6 +1502,16 @@ class SettingsHandler:
|
||||
if not os.path.isdir(folder_path):
|
||||
return "Please set a dedicated folder for example images."
|
||||
if not self._is_dedicated_example_images_folder(folder_path):
|
||||
offending = find_non_compliant_items_in_example_images_root(folder_path)
|
||||
if offending:
|
||||
items_str = ", ".join(repr(item) for item in offending[:5])
|
||||
if len(offending) > 5:
|
||||
items_str += f" … and {len(offending) - 5} more"
|
||||
return (
|
||||
f"The folder contains items that are not valid example image "
|
||||
f"folders: {items_str}. Please use a dedicated, empty folder "
|
||||
f"for example images to prevent accidental data loss."
|
||||
)
|
||||
return "Please set a dedicated folder for example images."
|
||||
return None
|
||||
|
||||
@@ -3085,13 +3105,17 @@ class NodeRegistryHandler:
|
||||
try:
|
||||
data = await request.json()
|
||||
widget_name = data.get("widget_name")
|
||||
action = data.get("action")
|
||||
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:
|
||||
if not action and (not isinstance(widget_name, str) or not widget_name):
|
||||
return web.json_response(
|
||||
{"success": False, "error": "Missing widget_name parameter"},
|
||||
{
|
||||
"success": False,
|
||||
"error": "Missing parameter: provide either 'action' or 'widget_name'",
|
||||
},
|
||||
status=400,
|
||||
)
|
||||
|
||||
@@ -3130,12 +3154,15 @@ class NodeRegistryHandler:
|
||||
except (TypeError, ValueError):
|
||||
parsed_node_id = node_identifier
|
||||
|
||||
payload = {
|
||||
payload: dict = {
|
||||
"id": parsed_node_id,
|
||||
"widget_name": widget_name,
|
||||
"value": value,
|
||||
"mode": mode,
|
||||
}
|
||||
if action:
|
||||
payload["action"] = action
|
||||
if widget_name:
|
||||
payload["widget_name"] = widget_name
|
||||
|
||||
if graph_identifier is not None:
|
||||
payload["graph_id"] = str(graph_identifier)
|
||||
|
||||
@@ -233,6 +233,8 @@ class ModelListingHandler:
|
||||
start_time = time.perf_counter()
|
||||
try:
|
||||
params = self._parse_common_params(request)
|
||||
# group_by_model is meaningless for excluded view; strip it
|
||||
params.pop("group_by_model", None)
|
||||
result = await self._service.get_excluded_paginated_data(**params)
|
||||
|
||||
format_start = time.perf_counter()
|
||||
@@ -366,6 +368,19 @@ class ModelListingHandler:
|
||||
request.query.get("name_pattern_use_regex", "false").lower() == "true"
|
||||
)
|
||||
|
||||
# Group-by-model flag: deduplicate versions sharing the same civitai modelId
|
||||
group_by_model = (
|
||||
request.query.get("group_by_model", "false").lower() == "true"
|
||||
)
|
||||
|
||||
# View-local-versions filter: show all local versions of a specific model
|
||||
civitai_model_id = request.query.get("civitai_model_id")
|
||||
if civitai_model_id is not None:
|
||||
try:
|
||||
civitai_model_id = int(civitai_model_id)
|
||||
except (TypeError, ValueError):
|
||||
civitai_model_id = None
|
||||
|
||||
return {
|
||||
"page": page,
|
||||
"page_size": page_size,
|
||||
@@ -389,6 +404,8 @@ class ModelListingHandler:
|
||||
"name_pattern_include": name_pattern_include,
|
||||
"name_pattern_exclude": name_pattern_exclude,
|
||||
"name_pattern_use_regex": name_pattern_use_regex,
|
||||
"group_by_model": group_by_model,
|
||||
"civitai_model_id": civitai_model_id,
|
||||
**self._parse_specific_params(request),
|
||||
}
|
||||
|
||||
@@ -1272,6 +1289,14 @@ class ModelQueryHandler:
|
||||
license_flags = (model_data or {}).get("license_flags")
|
||||
if license_flags is not None:
|
||||
response_payload["license_flags"] = int(license_flags)
|
||||
# Include the user's license icon style preference so the
|
||||
# ComfyUI tooltip can pick the right set without a separate
|
||||
# API call.
|
||||
try:
|
||||
settings = get_settings_manager()
|
||||
response_payload["use_new_license_icons"] = settings.get("use_new_license_icons", True)
|
||||
except Exception:
|
||||
pass
|
||||
return web.json_response(response_payload)
|
||||
return web.json_response(
|
||||
{
|
||||
@@ -1820,6 +1845,39 @@ class ModelDownloadHandler:
|
||||
)
|
||||
return web.json_response({"success": False, "error": str(exc)}, status=500)
|
||||
|
||||
async def update_download_queue_status(self, request: web.Request) -> web.Response:
|
||||
"""Update the status of a queue item (non-terminal transitions).
|
||||
|
||||
Supported transitions include ``queued → downloading``,
|
||||
``downloading → paused``, ``paused → downloading``, etc.
|
||||
Terminal transitions (``completed``, ``failed``, ``canceled``)
|
||||
should use ``complete_download_in_queue`` instead.
|
||||
"""
|
||||
try:
|
||||
download_id = request.query.get("download_id")
|
||||
status = request.query.get("status")
|
||||
if not download_id or not status:
|
||||
return web.json_response(
|
||||
{
|
||||
"success": False,
|
||||
"error": "download_id and status are required",
|
||||
},
|
||||
status=400,
|
||||
)
|
||||
service = await DownloadQueueService.get_instance()
|
||||
updated = await service.update_status(download_id, status)
|
||||
if not updated:
|
||||
return web.json_response(
|
||||
{"success": False, "error": "Download not found in queue"},
|
||||
status=404,
|
||||
)
|
||||
return web.json_response({"success": True})
|
||||
except Exception as exc:
|
||||
self._logger.error(
|
||||
"Error updating download queue status: %s", exc, exc_info=True
|
||||
)
|
||||
return web.json_response({"success": False, "error": str(exc)}, status=500)
|
||||
|
||||
|
||||
class ModelCivitaiHandler:
|
||||
"""CivitAI integration endpoints."""
|
||||
@@ -2864,6 +2922,7 @@ class ModelHandlerSet:
|
||||
"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,
|
||||
"update_download_queue_status": self.download.update_download_queue_status,
|
||||
"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,
|
||||
|
||||
@@ -138,6 +138,9 @@ COMMON_ROUTE_DEFINITIONS: tuple[RouteDefinition, ...] = (
|
||||
RouteDefinition(
|
||||
"GET", "/api/lm/downloads/queue/complete", "complete_download_in_queue"
|
||||
),
|
||||
RouteDefinition(
|
||||
"GET", "/api/lm/downloads/queue/status", "update_download_queue_status"
|
||||
),
|
||||
RouteDefinition("POST", "/api/lm/{prefix}/cancel-task", "cancel_task"),
|
||||
RouteDefinition("GET", "/{prefix}", "handle_models_page"),
|
||||
)
|
||||
|
||||
+45
-16
@@ -11,6 +11,8 @@ from ..config import config
|
||||
from ..services.settings_manager import get_settings_manager
|
||||
from ..services.server_i18n import server_i18n
|
||||
from ..services.service_registry import ServiceRegistry
|
||||
from ..services.model_query import normalize_sub_type, resolve_sub_type
|
||||
from ..utils.constants import VALID_LORA_SUB_TYPES, VALID_CHECKPOINT_SUB_TYPES
|
||||
from ..utils.usage_stats import UsageStats
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@@ -140,6 +142,21 @@ class StatsRoutes:
|
||||
# Get usage statistics
|
||||
usage_data = await self.usage_stats.get_stats()
|
||||
|
||||
# CivitAI model type distribution across all model types
|
||||
# Use the same logic as the filter panel: normalize_sub_type(resolve_sub_type(entry))
|
||||
# with sub-type validation per model type
|
||||
model_types_counter: Counter[str] = Counter()
|
||||
for entry in lora_cache.raw_data:
|
||||
ntype = normalize_sub_type(resolve_sub_type(entry))
|
||||
if ntype and ntype in VALID_LORA_SUB_TYPES:
|
||||
model_types_counter[ntype] += 1
|
||||
for entry in checkpoint_cache.raw_data:
|
||||
ntype = normalize_sub_type(resolve_sub_type(entry))
|
||||
if ntype and ntype in VALID_CHECKPOINT_SUB_TYPES:
|
||||
model_types_counter[ntype] += 1
|
||||
# Embeddings: always count as "embedding" regardless of CivitAI sub-type
|
||||
model_types_counter['embedding'] = len(embedding_cache.raw_data)
|
||||
|
||||
return web.json_response({
|
||||
'success': True,
|
||||
'data': {
|
||||
@@ -154,7 +171,8 @@ class StatsRoutes:
|
||||
'total_generations': usage_data.get('total_executions', 0),
|
||||
'unused_loras': self._count_unused_models(lora_cache.raw_data, usage_data.get('loras', {})),
|
||||
'unused_checkpoints': self._count_unused_models(checkpoint_cache.raw_data, usage_data.get('checkpoints', {})),
|
||||
'unused_embeddings': self._count_unused_models(embedding_cache.raw_data, usage_data.get('embeddings', {}))
|
||||
'unused_embeddings': self._count_unused_models(embedding_cache.raw_data, usage_data.get('embeddings', {})),
|
||||
'model_types_distribution': dict(model_types_counter.most_common())
|
||||
}
|
||||
})
|
||||
|
||||
@@ -459,9 +477,12 @@ class StatsRoutes:
|
||||
if unused_lora_percent > 50:
|
||||
insights.append({
|
||||
'type': 'warning',
|
||||
'title': 'High Number of Unused LoRAs',
|
||||
'description': f'{unused_lora_percent:.1f}% of your LoRAs ({unused_loras}/{total_loras}) have never been used.',
|
||||
'suggestion': 'Consider organizing or archiving unused models to free up storage space.'
|
||||
'key': 'insights.unusedLoras.high',
|
||||
'params': {
|
||||
'percent': f'{unused_lora_percent:.1f}',
|
||||
'count': str(unused_loras),
|
||||
'total': str(total_loras)
|
||||
}
|
||||
})
|
||||
|
||||
if total_checkpoints > 0:
|
||||
@@ -469,9 +490,12 @@ class StatsRoutes:
|
||||
if unused_checkpoint_percent > 30:
|
||||
insights.append({
|
||||
'type': 'warning',
|
||||
'title': 'Unused Checkpoints Detected',
|
||||
'description': f'{unused_checkpoint_percent:.1f}% of your checkpoints ({unused_checkpoints}/{total_checkpoints}) have never been used.',
|
||||
'suggestion': 'Review and consider removing checkpoints you no longer need.'
|
||||
'key': 'insights.unusedCheckpoints.detected',
|
||||
'params': {
|
||||
'percent': f'{unused_checkpoint_percent:.1f}',
|
||||
'count': str(unused_checkpoints),
|
||||
'total': str(total_checkpoints)
|
||||
}
|
||||
})
|
||||
|
||||
if total_embeddings > 0:
|
||||
@@ -479,9 +503,12 @@ class StatsRoutes:
|
||||
if unused_embedding_percent > 50:
|
||||
insights.append({
|
||||
'type': 'warning',
|
||||
'title': 'High Number of Unused Embeddings',
|
||||
'description': f'{unused_embedding_percent:.1f}% of your embeddings ({unused_embeddings}/{total_embeddings}) have never been used.',
|
||||
'suggestion': 'Consider organizing or archiving unused embeddings to optimize your collection.'
|
||||
'key': 'insights.unusedEmbeddings.high',
|
||||
'params': {
|
||||
'percent': f'{unused_embedding_percent:.1f}',
|
||||
'count': str(unused_embeddings),
|
||||
'total': str(total_embeddings)
|
||||
}
|
||||
})
|
||||
|
||||
# Storage insights
|
||||
@@ -492,18 +519,20 @@ class StatsRoutes:
|
||||
if total_size > 100 * 1024 * 1024 * 1024: # 100GB
|
||||
insights.append({
|
||||
'type': 'info',
|
||||
'title': 'Large Collection Detected',
|
||||
'description': f'Your model collection is using {self._format_size(total_size)} of storage.',
|
||||
'suggestion': 'Consider using external storage or cloud solutions for better organization.'
|
||||
'key': 'insights.collection.large',
|
||||
'params': {
|
||||
'size': self._format_size(total_size)
|
||||
}
|
||||
})
|
||||
|
||||
# Recent activity insight
|
||||
if usage_data.get('total_executions', 0) > 100:
|
||||
insights.append({
|
||||
'type': 'success',
|
||||
'title': 'Active User',
|
||||
'description': f'You\'ve completed {usage_data["total_executions"]} generations so far!',
|
||||
'suggestion': 'Keep exploring and creating amazing content with your models.'
|
||||
'key': 'insights.activity.active',
|
||||
'params': {
|
||||
'count': str(usage_data['total_executions'])
|
||||
}
|
||||
})
|
||||
|
||||
return web.json_response({
|
||||
|
||||
@@ -84,6 +84,7 @@ class Aria2Downloader:
|
||||
self._transfers: Dict[str, Aria2Transfer] = {}
|
||||
self._poll_interval = 0.5
|
||||
self._state_store = Aria2TransferStateStore()
|
||||
self._stderr_reader_task: Optional[asyncio.Task] = None
|
||||
|
||||
@property
|
||||
def is_running(self) -> bool:
|
||||
@@ -115,7 +116,7 @@ class Aria2Downloader:
|
||||
|
||||
try:
|
||||
while True:
|
||||
status = await self.get_status(download_id)
|
||||
status = await self._get_status_with_retry(download_id)
|
||||
if status is None:
|
||||
return False, "aria2 download not found"
|
||||
|
||||
@@ -136,6 +137,35 @@ class Aria2Downloader:
|
||||
finally:
|
||||
self._transfers.pop(download_id, None)
|
||||
|
||||
async def _get_status_with_retry(
|
||||
self, download_id: str, *, max_retries: int = 4, retry_delay: float = 3.0
|
||||
) -> Optional[Dict[str, Any]]:
|
||||
"""Call get_status with retry for transient RPC failures.
|
||||
|
||||
Only retries on :exc:`Aria2Error` (RPC-level failure). Returns
|
||||
``None`` immediately when the download_id is not tracked (a missing
|
||||
transfer is not a transient condition, so retrying is pointless).
|
||||
|
||||
A single failed RPC call should not immediately fail the download,
|
||||
because aria2 may be temporarily busy (e.g. finalizing multiple
|
||||
concurrent downloads) and a retry will often succeed.
|
||||
"""
|
||||
last_exc: Optional[Exception] = None
|
||||
for attempt in range(max_retries):
|
||||
try:
|
||||
return await self.get_status(download_id)
|
||||
except Aria2Error as exc:
|
||||
last_exc = exc
|
||||
if attempt < max_retries - 1:
|
||||
logger.warning(
|
||||
"aria2 get_status transient failure (attempt %d/%d) for %s: %s",
|
||||
attempt + 1, max_retries, download_id, exc,
|
||||
)
|
||||
await asyncio.sleep(retry_delay)
|
||||
raise Aria2Error(
|
||||
f"Failed to query aria2 download status after {max_retries} attempts: {last_exc}"
|
||||
) from last_exc
|
||||
|
||||
async def _schedule_download(
|
||||
self,
|
||||
url: str,
|
||||
@@ -312,6 +342,16 @@ class Aria2Downloader:
|
||||
async def close(self) -> None:
|
||||
"""Shut down the RPC process and session."""
|
||||
|
||||
# Cancel the background stderr reader first so it stops reading
|
||||
# from the pipe before the subprocess is terminated.
|
||||
if self._stderr_reader_task is not None:
|
||||
self._stderr_reader_task.cancel()
|
||||
try:
|
||||
await asyncio.wait_for(self._stderr_reader_task, timeout=2.0)
|
||||
except (asyncio.CancelledError, asyncio.TimeoutError):
|
||||
pass
|
||||
self._stderr_reader_task = None
|
||||
|
||||
if self._rpc_session is not None:
|
||||
await self._rpc_session.close()
|
||||
self._rpc_session = None
|
||||
@@ -331,6 +371,23 @@ class Aria2Downloader:
|
||||
process.kill()
|
||||
await process.wait()
|
||||
|
||||
async def _drain_stderr(self) -> None:
|
||||
"""Continuously drain aria2's stderr pipe so it never blocks.
|
||||
|
||||
When the 64 KB pipe buffer fills up, aria2's ``write()`` to stderr
|
||||
blocks, which freezes the entire ``aria2c`` process — including its
|
||||
RPC handler. This background task reads lines from stderr as they
|
||||
arrive and forwards them to Python's logger.
|
||||
"""
|
||||
try:
|
||||
assert self._process is not None and self._process.stderr is not None
|
||||
async for line in self._process.stderr:
|
||||
text = line.decode("utf-8", errors="replace").rstrip()
|
||||
if text:
|
||||
logger.debug("aria2 stderr: %s", text)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
async def _dispatch_progress(self, callback, snapshot: DownloadProgress) -> None:
|
||||
try:
|
||||
result = callback(snapshot, snapshot)
|
||||
@@ -465,6 +522,17 @@ class Aria2Downloader:
|
||||
|
||||
await self._wait_until_ready()
|
||||
|
||||
# Drain aria2's stderr in a background task so the pipe buffer
|
||||
# never fills up. If the pipe blocks, aria2 itself freezes and
|
||||
# cannot respond to RPC — this was the root cause of the
|
||||
# "Failed to query aria2 download status" timeout bug.
|
||||
# Must start AFTER _wait_until_ready to avoid a race where the
|
||||
# drain task consumes aria2's early-exit error message before
|
||||
# _wait_until_ready can read it.
|
||||
self._stderr_reader_task = asyncio.create_task(
|
||||
self._drain_stderr()
|
||||
)
|
||||
|
||||
def _resolve_executable(self) -> str:
|
||||
settings = get_settings_manager()
|
||||
configured_path = (settings.get("aria2c_path") or "").strip()
|
||||
@@ -584,7 +652,9 @@ class Aria2Downloader:
|
||||
if self._rpc_session is None or self._rpc_session.closed:
|
||||
async with self._rpc_session_lock:
|
||||
if self._rpc_session is None or self._rpc_session.closed:
|
||||
timeout = aiohttp.ClientTimeout(total=30)
|
||||
timeout = aiohttp.ClientTimeout(
|
||||
total=None, sock_connect=10, sock_read=60
|
||||
)
|
||||
self._rpc_session = aiohttp.ClientSession(timeout=timeout)
|
||||
return self._rpc_session
|
||||
|
||||
|
||||
@@ -104,6 +104,100 @@ class BaseModelService(ABC):
|
||||
fetch_duration = time.perf_counter() - t0
|
||||
initial_count = len(sorted_data)
|
||||
|
||||
# Optionally filter by civitai model ID (shows all local versions of a specific model)
|
||||
civitai_model_id = kwargs.get("civitai_model_id")
|
||||
if civitai_model_id is not None:
|
||||
sorted_data = [
|
||||
item for item in sorted_data
|
||||
if self._extract_model_id(item) == civitai_model_id
|
||||
]
|
||||
# VLM mode: always sort by version ID descending (newest version first),
|
||||
# regardless of the current sort_by preference.
|
||||
sorted_data.sort(
|
||||
key=lambda x: self._extract_version_id(x) or 0,
|
||||
reverse=True,
|
||||
)
|
||||
|
||||
# Optionally group by civitai modelId, showing only the latest version per model
|
||||
dedup_lost = 0
|
||||
if kwargs.get("group_by_model") and civitai_model_id is None:
|
||||
# Determine whether to further sub-group by base model
|
||||
# When version_grouping is "same_base", versions with different
|
||||
# base models are effectively different groups — the dedup key
|
||||
# needs to include base_model so the version count and VLM flow
|
||||
# stay consistent (card shows correct count for its base model).
|
||||
ufs = self.settings.get("version_grouping", "same_base")
|
||||
group_by_base = ufs == "same_base"
|
||||
|
||||
dedup_map = {} # (modelId [,base_model]) -> (item, version_id)
|
||||
version_counter = {} # same-key -> count
|
||||
standalone = []
|
||||
for item in sorted_data:
|
||||
mid = self._extract_model_id(item)
|
||||
if mid is None:
|
||||
standalone.append(item)
|
||||
continue
|
||||
key = (mid, item.get("base_model") or "") if group_by_base else mid
|
||||
# Count all versions per key
|
||||
version_counter[key] = version_counter.get(key, 0) + 1
|
||||
vid = self._extract_version_id(item) or 0
|
||||
if key not in dedup_map or vid > dedup_map[key][1]:
|
||||
dedup_map[key] = (item, vid)
|
||||
# Attach version_count to each surviving grouped item (shallow copy
|
||||
# to avoid mutating cached dicts — the cache is shared across requests)
|
||||
for key, (item, vid) in dedup_map.items():
|
||||
item = dict(item)
|
||||
item["version_count"] = version_counter[key]
|
||||
dedup_map[key] = (item, vid)
|
||||
dedup_lost = len(sorted_data) - (len(dedup_map) + len(standalone))
|
||||
sorted_data = [entry[0] for entry in dedup_map.values()] + standalone
|
||||
|
||||
# Re-sort by version_count (grouped: after dedup; non-grouped: group internally, sort, expand)
|
||||
if sort_params.key == "versions_count" and civitai_model_id is None:
|
||||
reverse = sort_params.order == "desc"
|
||||
if kwargs.get("group_by_model"):
|
||||
# Grouped mode: items are already dedup'd with version_count attached
|
||||
sorted_data.sort(
|
||||
key=lambda x: (
|
||||
x.get("version_count", 0),
|
||||
(x.get("model_name") or x.get("file_name") or "").lower(),
|
||||
x.get("file_path", "").lower(),
|
||||
),
|
||||
reverse=reverse,
|
||||
)
|
||||
else:
|
||||
# Non-grouped mode: group internally, sort groups by count, expand
|
||||
# Respect the version_grouping setting (same logic as grouped dedup)
|
||||
ufs = self.settings.get("version_grouping", "same_base")
|
||||
group_by_base = ufs == "same_base"
|
||||
|
||||
model_groups: Dict[Any, List[Dict]] = {}
|
||||
ungrouped_standalone: List[Dict] = []
|
||||
for item in sorted_data:
|
||||
mid = self._extract_model_id(item)
|
||||
if mid is None:
|
||||
ungrouped_standalone.append(item)
|
||||
continue
|
||||
key = (mid, item.get("base_model") or "") if group_by_base else mid
|
||||
model_groups.setdefault(key, []).append(item)
|
||||
# Sort versions within each group by version id descending
|
||||
for items in model_groups.values():
|
||||
items.sort(
|
||||
key=lambda x: self._extract_version_id(x) or 0,
|
||||
reverse=True,
|
||||
)
|
||||
# Sort groups by version count
|
||||
sorted_groups = sorted(
|
||||
model_groups.values(),
|
||||
key=lambda items: len(items),
|
||||
reverse=reverse,
|
||||
)
|
||||
# Flatten: grouped items first, standalone items last
|
||||
sorted_data = []
|
||||
for items in sorted_groups:
|
||||
sorted_data.extend(items)
|
||||
sorted_data.extend(ungrouped_standalone)
|
||||
|
||||
t1 = time.perf_counter()
|
||||
if hash_filters:
|
||||
filtered_data = await self._apply_hash_filters(sorted_data, hash_filters)
|
||||
@@ -172,7 +266,7 @@ class BaseModelService(ABC):
|
||||
overall_duration = time.perf_counter() - overall_start
|
||||
logger.debug(
|
||||
"%s.get_paginated_data took %.3fs (fetch: %.3fs, filter: %.3fs, update_filter: %.3fs, pagination: %.3fs, annotate: %.3fs). "
|
||||
"Counts: initial=%d, post_filter=%d, final=%d",
|
||||
"Counts: initial=%d, dedup=%d, post_filter=%d, final=%d",
|
||||
self.__class__.__name__,
|
||||
overall_duration,
|
||||
fetch_duration,
|
||||
@@ -181,6 +275,7 @@ class BaseModelService(ABC):
|
||||
pagination_duration,
|
||||
annotate_duration,
|
||||
initial_count,
|
||||
dedup_lost,
|
||||
post_filter_count,
|
||||
final_count,
|
||||
)
|
||||
@@ -495,7 +590,7 @@ class BaseModelService(ABC):
|
||||
if not ordered_ids:
|
||||
return annotated
|
||||
|
||||
strategy_value = self.settings.get("update_flag_strategy")
|
||||
strategy_value = self.settings.get("version_grouping")
|
||||
if isinstance(strategy_value, str) and strategy_value.strip():
|
||||
strategy = strategy_value.strip().lower()
|
||||
else:
|
||||
|
||||
@@ -48,6 +48,7 @@ class CheckpointService(BaseModelService):
|
||||
"skip_metadata_refresh": bool(checkpoint_data.get("skip_metadata_refresh", False)),
|
||||
"civitai": self.filter_civitai_data(checkpoint_data.get("civitai", {}), minimal=True),
|
||||
"auto_tags": checkpoint_data.get("auto_tags") or extract_auto_tags(checkpoint_data),
|
||||
"version_count": checkpoint_data.get("version_count"),
|
||||
}
|
||||
|
||||
def find_duplicate_hashes(self) -> Dict:
|
||||
|
||||
@@ -29,6 +29,7 @@ from .metadata_service import get_default_metadata_provider, get_metadata_provid
|
||||
from .downloader import get_downloader, DownloadProgress, DownloadStreamControl
|
||||
from .aria2_downloader import Aria2Error, get_aria2_downloader
|
||||
from .aria2_transfer_state import Aria2TransferStateStore
|
||||
from .download_queue_service import DownloadQueueService
|
||||
|
||||
# Download to temporary file first
|
||||
import tempfile
|
||||
@@ -360,6 +361,15 @@ class DownloadManager:
|
||||
if self._active_downloads[task_id].get("transfer_backend") == "aria2":
|
||||
await self._persist_aria2_state(task_id)
|
||||
|
||||
# Update SQLite queue status to 'downloading'
|
||||
try:
|
||||
queue_service = await DownloadQueueService.get_instance()
|
||||
await queue_service.update_status(task_id, "downloading")
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"Failed to update queue status for %s", task_id, exc_info=True
|
||||
)
|
||||
|
||||
# Use original download implementation
|
||||
try:
|
||||
# Check for cancellation before starting
|
||||
@@ -396,6 +406,22 @@ class DownloadManager:
|
||||
if self._active_downloads[task_id].get("transfer_backend") == "aria2":
|
||||
await self._persist_aria2_state(task_id)
|
||||
|
||||
# Move queue item to history on completion
|
||||
try:
|
||||
queue_service = await DownloadQueueService.get_instance()
|
||||
await queue_service.complete_download(
|
||||
download_id=task_id,
|
||||
status=result.get("status", "completed") if result.get("success") else "failed",
|
||||
error=result.get("error") if not result.get("success") else None,
|
||||
file_path=result.get("file_path"),
|
||||
bytes_downloaded=self._active_downloads.get(task_id, {}).get("bytes_downloaded", 0),
|
||||
total_bytes=self._active_downloads.get(task_id, {}).get("total_bytes"),
|
||||
)
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"Failed to complete queue item for %s", task_id, exc_info=True
|
||||
)
|
||||
|
||||
return result
|
||||
except asyncio.CancelledError:
|
||||
# Handle cancellation
|
||||
@@ -404,6 +430,19 @@ class DownloadManager:
|
||||
self._active_downloads[task_id]["bytes_per_second"] = 0.0
|
||||
if self._active_downloads[task_id].get("transfer_backend") == "aria2":
|
||||
await self._persist_aria2_state(task_id)
|
||||
|
||||
# Move queue item to history as canceled
|
||||
try:
|
||||
queue_service = await DownloadQueueService.get_instance()
|
||||
await queue_service.complete_download(
|
||||
download_id=task_id,
|
||||
status="canceled",
|
||||
)
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"Failed to cancel queue item for %s", task_id, exc_info=True
|
||||
)
|
||||
|
||||
logger.info(f"Download cancelled for task {task_id}")
|
||||
raise
|
||||
except Exception as e:
|
||||
@@ -417,6 +456,22 @@ class DownloadManager:
|
||||
self._active_downloads[task_id]["bytes_per_second"] = 0.0
|
||||
if self._active_downloads[task_id].get("transfer_backend") == "aria2":
|
||||
await self._persist_aria2_state(task_id)
|
||||
|
||||
# Move queue item to history as failed
|
||||
try:
|
||||
queue_service = await DownloadQueueService.get_instance()
|
||||
await queue_service.complete_download(
|
||||
download_id=task_id,
|
||||
status="failed",
|
||||
error=str(e),
|
||||
bytes_downloaded=self._active_downloads.get(task_id, {}).get("bytes_downloaded", 0),
|
||||
total_bytes=self._active_downloads.get(task_id, {}).get("total_bytes"),
|
||||
)
|
||||
except Exception:
|
||||
logger.warning(
|
||||
"Failed to complete queue item for %s", task_id, exc_info=True
|
||||
)
|
||||
|
||||
return {"success": False, "error": str(e)}
|
||||
finally:
|
||||
# Schedule cleanup of download record after delay
|
||||
@@ -1974,7 +2029,21 @@ class DownloadManager:
|
||||
break
|
||||
|
||||
last_error = result
|
||||
if os.path.exists(save_path):
|
||||
# For aria2: if the .aria2 control file is missing, aria2 considers
|
||||
# the download complete. A transient RPC failure may have made us
|
||||
# think the download failed even though the file is fully on disk.
|
||||
# Keep the file so a retry can find it already complete.
|
||||
if (
|
||||
transfer_backend == "aria2"
|
||||
and os.path.exists(save_path)
|
||||
and not os.path.exists(f"{save_path}.aria2")
|
||||
):
|
||||
logger.warning(
|
||||
"aria2 download reported failure but .aria2 file is absent "
|
||||
"for %s — the file is likely complete. Preserving it for retry.",
|
||||
save_path,
|
||||
)
|
||||
elif os.path.exists(save_path):
|
||||
try:
|
||||
os.remove(save_path)
|
||||
except Exception as e:
|
||||
|
||||
@@ -48,6 +48,7 @@ class EmbeddingService(BaseModelService):
|
||||
"skip_metadata_refresh": bool(embedding_data.get("skip_metadata_refresh", False)),
|
||||
"civitai": self.filter_civitai_data(embedding_data.get("civitai", {}), minimal=True),
|
||||
"auto_tags": embedding_data.get("auto_tags") or extract_auto_tags(embedding_data),
|
||||
"version_count": embedding_data.get("version_count"),
|
||||
}
|
||||
|
||||
def find_duplicate_hashes(self) -> Dict:
|
||||
|
||||
@@ -59,6 +59,7 @@ class LoraService(BaseModelService):
|
||||
lora_data.get("civitai", {}), minimal=True
|
||||
),
|
||||
"auto_tags": lora_data.get("auto_tags") or extract_auto_tags(lora_data),
|
||||
"version_count": lora_data.get("version_count"),
|
||||
}
|
||||
|
||||
async def _apply_specific_filters(self, data: List[Dict], **kwargs) -> List[Dict]:
|
||||
|
||||
@@ -427,7 +427,18 @@ class MetadataSyncService:
|
||||
metadata = await metadata_loader(metadata_path)
|
||||
|
||||
for key, value in updates.items():
|
||||
if isinstance(value, dict) and isinstance(metadata.get(key), dict):
|
||||
if key == "tags" and isinstance(value, list):
|
||||
# Normalize tags: trim, lowercase, deduplicate
|
||||
normalized = []
|
||||
seen = set()
|
||||
for tag in value:
|
||||
if isinstance(tag, str):
|
||||
t = tag.strip().lower()
|
||||
if t and t not in seen:
|
||||
normalized.append(t)
|
||||
seen.add(t)
|
||||
metadata[key] = normalized
|
||||
elif isinstance(value, dict) and isinstance(metadata.get(key), dict):
|
||||
metadata[key].update(value)
|
||||
else:
|
||||
metadata[key] = value
|
||||
|
||||
@@ -18,6 +18,8 @@ SUPPORTED_SORT_MODES = [
|
||||
('size', 'desc'),
|
||||
('usage', 'asc'),
|
||||
('usage', 'desc'),
|
||||
('versions_count', 'asc'),
|
||||
('versions_count', 'desc'),
|
||||
]
|
||||
# Is this in use?
|
||||
|
||||
@@ -263,6 +265,17 @@ class ModelCache:
|
||||
),
|
||||
reverse=reverse
|
||||
)
|
||||
elif sort_key == 'versions_count':
|
||||
# Pre-dedup sort: fall back to name sort.
|
||||
# Actual re-sort by version_count happens in get_paginated_data after dedup.
|
||||
result = natsorted(
|
||||
data,
|
||||
key=lambda x: (
|
||||
self._get_display_name(x).lower(),
|
||||
x.get('file_path', '').lower()
|
||||
),
|
||||
reverse=reverse
|
||||
)
|
||||
else:
|
||||
# Fallback: no sort
|
||||
result = list(data)
|
||||
|
||||
@@ -294,12 +294,14 @@ class ModelFilterSet:
|
||||
for tag, state in tag_filters.items():
|
||||
if not tag:
|
||||
continue
|
||||
# Normalize to lowercase for case-insensitive matching
|
||||
normalized = tag.strip().lower()
|
||||
if state == "exclude":
|
||||
exclude_tags.add(tag)
|
||||
exclude_tags.add(normalized)
|
||||
else:
|
||||
include_tags.add(tag)
|
||||
include_tags.add(normalized)
|
||||
else:
|
||||
include_tags = {tag for tag in tag_filters if tag}
|
||||
include_tags = {tag.strip().lower() for tag in tag_filters if tag}
|
||||
|
||||
if include_tags:
|
||||
tag_logic = criteria.tag_logic.lower() if criteria.tag_logic else "any"
|
||||
@@ -318,13 +320,17 @@ class ModelFilterSet:
|
||||
return True
|
||||
# Otherwise, check if all non-special tags match
|
||||
if non_special_tags:
|
||||
return all(tag in (item_tags or []) for tag in non_special_tags)
|
||||
# Case-insensitive: normalize item tags too
|
||||
normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
|
||||
return all(tag in normalized_item_tags for tag in non_special_tags)
|
||||
return True
|
||||
# Normal case: all tags must match
|
||||
return all(tag in (item_tags or []) for tag in non_special_tags)
|
||||
# Normal case: all tags must match (case-insensitive)
|
||||
normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
|
||||
return all(tag in normalized_item_tags for tag in non_special_tags)
|
||||
else:
|
||||
# OR logic (default): item must have ANY include tag
|
||||
return any(tag in include_tags for tag in (item_tags or []))
|
||||
# OR logic (default): item must have ANY include tag (case-insensitive)
|
||||
normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
|
||||
return bool(normalized_item_tags & include_tags)
|
||||
|
||||
items = [item for item in items if matches_include(item.get("tags"))]
|
||||
|
||||
@@ -333,7 +339,9 @@ class ModelFilterSet:
|
||||
def matches_exclude(item_tags):
|
||||
if not item_tags and "__no_tags__" in exclude_tags:
|
||||
return True
|
||||
return any(tag in exclude_tags for tag in (item_tags or []))
|
||||
# Case-insensitive: normalize item tags
|
||||
normalized_item_tags = {t.strip().lower() for t in (item_tags or []) if isinstance(t, str)}
|
||||
return bool(normalized_item_tags & exclude_tags)
|
||||
|
||||
items = [
|
||||
item for item in items if not matches_exclude(item.get("tags"))
|
||||
|
||||
@@ -98,13 +98,15 @@ DEFAULT_SETTINGS: Dict[str, Any] = {
|
||||
"lora_syntax_format": "legacy",
|
||||
"model_card_footer_action": "replace_preview",
|
||||
"show_version_on_card": True,
|
||||
"update_flag_strategy": "same_base",
|
||||
"version_grouping": "same_base",
|
||||
"auto_organize_exclusions": [],
|
||||
"metadata_refresh_skip_paths": [],
|
||||
"skip_previously_downloaded_model_versions": False,
|
||||
"download_skip_base_models": [],
|
||||
"backup_auto_enabled": True,
|
||||
"backup_retention_count": 5,
|
||||
"use_new_license_icons": True,
|
||||
"group_by_model": False,
|
||||
}
|
||||
|
||||
|
||||
@@ -133,6 +135,9 @@ class SettingsManager:
|
||||
self._template_path = (
|
||||
Path(__file__).resolve().parents[2] / "settings.json.example"
|
||||
)
|
||||
# Known placeholder value in settings.json.example; any file containing
|
||||
# this value should be treated as "not configured".
|
||||
self._TEMPLATE_PLACEHOLDER_API_KEY = "your_civitai_api_key_here"
|
||||
self.settings = self._load_settings()
|
||||
self._migrate_setting_keys()
|
||||
self._ensure_default_settings()
|
||||
@@ -164,6 +169,12 @@ class SettingsManager:
|
||||
self._original_disk_payload = copy.deepcopy(data)
|
||||
if self._matches_template_payload(data):
|
||||
self._preserve_disk_template = True
|
||||
# Clean up the template placeholder so it is not treated
|
||||
# as a real key (affects both the frontend boolean and
|
||||
# the downloader's Authorization header).
|
||||
placeholder = self._TEMPLATE_PLACEHOLDER_API_KEY
|
||||
if data.get("civitai_api_key") == placeholder:
|
||||
data["civitai_api_key"] = ""
|
||||
return data
|
||||
except json.JSONDecodeError as exc:
|
||||
logger.error("Failed to parse settings.json: %s", exc)
|
||||
@@ -734,6 +745,7 @@ class SettingsManager:
|
||||
"includeTriggerWords": "include_trigger_words",
|
||||
"compactMode": "compact_mode",
|
||||
"modelCardFooterAction": "model_card_footer_action",
|
||||
"update_flag_strategy": "version_grouping",
|
||||
}
|
||||
|
||||
updated = False
|
||||
|
||||
@@ -36,9 +36,9 @@ class TagUpdateService:
|
||||
if isinstance(tag, str) and tag.strip():
|
||||
# Convert all tags to lowercase to avoid case sensitivity issues on Windows
|
||||
normalized = tag.strip().lower()
|
||||
if normalized.lower() not in existing_lower:
|
||||
if normalized not in existing_lower:
|
||||
existing_tags.append(normalized)
|
||||
existing_lower.append(normalized.lower())
|
||||
existing_lower.append(normalized)
|
||||
tags_added.append(normalized)
|
||||
|
||||
metadata["tags"] = existing_tags
|
||||
|
||||
@@ -12,6 +12,18 @@ from ..services.settings_manager import get_settings_manager
|
||||
|
||||
_HEX_PATTERN = re.compile(r"[a-fA-F0-9]{64}")
|
||||
|
||||
# Filesystem/metadata files that are never created by the example images system
|
||||
# and are safe to ignore during validation. The cleanup service only operates on
|
||||
# directories, so these files pose no data-loss risk.
|
||||
_SAFE_FILENAMES: frozenset[str] = frozenset({
|
||||
".DS_Store", # macOS folder metadata
|
||||
"Thumbs.db", # Windows thumbnail cache
|
||||
"desktop.ini", # Windows folder customization
|
||||
".localized", # macOS folder name localization
|
||||
".gitkeep", # Placeholder to keep empty dirs in git
|
||||
".gitignore", # Git ignore rules
|
||||
})
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@@ -180,6 +192,22 @@ def is_hash_folder(name: str) -> bool:
|
||||
return bool(_HEX_PATTERN.fullmatch(name or ""))
|
||||
|
||||
|
||||
def _is_safe_ignorable_entry(item: str, item_path: str) -> bool:
|
||||
"""Return True if *item* is a harmless system/hidden file we can skip.
|
||||
|
||||
These files are never created by the example images system and are safe to
|
||||
ignore because the cleanup/delete operations only act on **directories**,
|
||||
never on individual files (other than ``.download_progress.json``).
|
||||
"""
|
||||
if item in _SAFE_FILENAMES:
|
||||
return True
|
||||
# Hide Unix hidden files (dotfiles) that are regular files,
|
||||
# since the cleanup system never deletes or moves files.
|
||||
if item.startswith(".") and os.path.isfile(item_path):
|
||||
return True
|
||||
return False
|
||||
|
||||
|
||||
def is_valid_example_images_root(folder_path: str) -> bool:
|
||||
"""Check whether a folder looks like a dedicated example images root."""
|
||||
|
||||
@@ -190,9 +218,16 @@ def is_valid_example_images_root(folder_path: str) -> bool:
|
||||
|
||||
for item in items:
|
||||
item_path = os.path.join(folder_path, item)
|
||||
|
||||
# .download_progress.json is an expected metadata file — check before
|
||||
# the generic dotfile rule so it stays explicitly documented.
|
||||
if item == ".download_progress.json" and os.path.isfile(item_path):
|
||||
continue
|
||||
|
||||
# Skip harmless system/hidden files — cleanup only touches directories
|
||||
if _is_safe_ignorable_entry(item, item_path):
|
||||
continue
|
||||
|
||||
if os.path.isdir(item_path):
|
||||
if is_hash_folder(item):
|
||||
continue
|
||||
@@ -211,6 +246,41 @@ def is_valid_example_images_root(folder_path: str) -> bool:
|
||||
return True
|
||||
|
||||
|
||||
def find_non_compliant_items_in_example_images_root(folder_path: str) -> list[str]:
|
||||
"""Return the names of items that prevent *folder_path* from being a valid
|
||||
example images root, or an empty list if the folder is valid.
|
||||
|
||||
This mirrors ``is_valid_example_images_root`` but **returns** the offending
|
||||
names instead of a boolean, so callers can produce actionable error messages.
|
||||
"""
|
||||
try:
|
||||
items = os.listdir(folder_path)
|
||||
except OSError as exc:
|
||||
return [f"<cannot list directory: {exc}>"]
|
||||
|
||||
offending: list[str] = []
|
||||
|
||||
for item in items:
|
||||
item_path = os.path.join(folder_path, item)
|
||||
|
||||
# Same skip rules as is_valid_example_images_root
|
||||
if item == ".download_progress.json" and os.path.isfile(item_path):
|
||||
continue
|
||||
if _is_safe_ignorable_entry(item, item_path):
|
||||
continue
|
||||
if os.path.isdir(item_path):
|
||||
if is_hash_folder(item):
|
||||
continue
|
||||
if item == "_deleted":
|
||||
continue
|
||||
if _library_folder_has_only_hash_dirs(item_path):
|
||||
continue
|
||||
|
||||
offending.append(item)
|
||||
|
||||
return offending
|
||||
|
||||
|
||||
def _library_folder_has_only_hash_dirs(path: str) -> bool:
|
||||
"""Return True when a library subfolder only contains hash folders or metadata files."""
|
||||
|
||||
|
||||
@@ -39,6 +39,9 @@ async def calculate_sha256(file_path: str) -> str:
|
||||
Uses ``posix_fadvise`` with ``POSIX_FADV_DONTNEED`` to avoid polluting the OS page
|
||||
cache — critical on WSL where cached file pages live inside the VM and are not
|
||||
accounted for in guest ``used`` memory, causing VmmemWSL to balloon.
|
||||
|
||||
On Windows/macOS where ``posix_fadvise`` is not available the hint is silently
|
||||
skipped.
|
||||
"""
|
||||
sha256_hash = hashlib.sha256()
|
||||
chunk_size = _get_hash_chunk_size_bytes()
|
||||
@@ -48,7 +51,9 @@ async def calculate_sha256(file_path: str) -> str:
|
||||
sha256_hash.update(byte_block)
|
||||
# Evict pages after reading so the data doesn't linger in the kernel page
|
||||
# cache — on WSL this otherwise appears as unreclaimable VmmemWSL growth.
|
||||
os.posix_fadvise(fd, 0, 0, os.POSIX_FADV_DONTNEED)
|
||||
# Guard against platforms (Windows, macOS) that lack posix_fadvise.
|
||||
if hasattr(os, "posix_fadvise") and hasattr(os, "POSIX_FADV_DONTNEED"):
|
||||
os.posix_fadvise(fd, 0, 0, os.POSIX_FADV_DONTNEED)
|
||||
return sha256_hash.hexdigest()
|
||||
|
||||
|
||||
|
||||
+1
-1
@@ -1,7 +1,7 @@
|
||||
[project]
|
||||
name = "comfyui-lora-manager"
|
||||
description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
|
||||
version = "1.1.2"
|
||||
version = "1.1.5"
|
||||
license = {file = "LICENSE"}
|
||||
dependencies = [
|
||||
"aiohttp",
|
||||
|
||||
@@ -349,8 +349,8 @@
|
||||
}
|
||||
|
||||
.progress-percentage {
|
||||
font-size: 1.2em;
|
||||
font-weight: 600;
|
||||
font-size: var(--text-lg);
|
||||
font-weight: var(--weight-semibold);
|
||||
color: var(--lora-accent);
|
||||
}
|
||||
|
||||
@@ -365,9 +365,9 @@
|
||||
|
||||
.progress-bar {
|
||||
height: 100%;
|
||||
background: linear-gradient(90deg, var(--lora-accent), oklch(from var(--lora-accent) calc(l + 0.1) c h));
|
||||
border-radius: 4px;
|
||||
transition: width 0.3s ease;
|
||||
background: var(--lora-accent);
|
||||
border-radius: var(--border-radius-xs);
|
||||
transition: width var(--transition-base);
|
||||
}
|
||||
|
||||
/* Progress Stats */
|
||||
@@ -389,27 +389,26 @@
|
||||
}
|
||||
|
||||
.stat-item.success {
|
||||
border-left: 3px solid #00B87A;
|
||||
border-left: 4px solid var(--color-success);
|
||||
}
|
||||
|
||||
.stat-item.failed {
|
||||
border-left: 3px solid var(--lora-error);
|
||||
border-left: 4px solid var(--color-error);
|
||||
}
|
||||
|
||||
.stat-item.skipped {
|
||||
border-left: 3px solid var(--lora-warning);
|
||||
border-left: 4px solid var(--color-warning);
|
||||
}
|
||||
|
||||
.stat-label {
|
||||
font-size: 0.8em;
|
||||
color: var(--text-color);
|
||||
opacity: 0.7;
|
||||
font-size: var(--text-xs);
|
||||
color: var(--text-secondary);
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.stat-value {
|
||||
font-size: 1.4em;
|
||||
font-weight: 600;
|
||||
font-size: var(--text-lg);
|
||||
font-weight: var(--weight-semibold);
|
||||
color: var(--text-color);
|
||||
}
|
||||
|
||||
@@ -425,8 +424,7 @@
|
||||
}
|
||||
|
||||
.current-item-label {
|
||||
color: var(--text-color);
|
||||
opacity: 0.7;
|
||||
color: var(--text-secondary);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
@@ -449,27 +447,29 @@
|
||||
}
|
||||
|
||||
.results-header {
|
||||
text-align: center;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: var(--space-2);
|
||||
margin-bottom: var(--space-3);
|
||||
}
|
||||
|
||||
.results-icon {
|
||||
font-size: 3em;
|
||||
color: #00B87A;
|
||||
margin-bottom: var(--space-1);
|
||||
font-size: var(--text-xl);
|
||||
color: var(--color-success);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.results-icon.warning {
|
||||
color: var(--lora-warning);
|
||||
color: var(--color-warning);
|
||||
}
|
||||
|
||||
.results-icon.error {
|
||||
color: var(--lora-error);
|
||||
color: var(--color-error);
|
||||
}
|
||||
|
||||
.results-title {
|
||||
font-size: 1.3em;
|
||||
font-weight: 600;
|
||||
font-size: var(--text-lg);
|
||||
font-weight: var(--weight-semibold);
|
||||
color: var(--text-color);
|
||||
}
|
||||
|
||||
@@ -493,27 +493,26 @@
|
||||
}
|
||||
|
||||
.result-card.success {
|
||||
border-left: 3px solid #00B87A;
|
||||
border-left: 4px solid var(--color-success);
|
||||
}
|
||||
|
||||
.result-card.failed {
|
||||
border-left: 3px solid var(--lora-error);
|
||||
border-left: 4px solid var(--color-error);
|
||||
}
|
||||
|
||||
.result-card.skipped {
|
||||
border-left: 3px solid var(--lora-warning);
|
||||
border-left: 4px solid var(--color-warning);
|
||||
}
|
||||
|
||||
.result-label {
|
||||
font-size: 0.8em;
|
||||
color: var(--text-color);
|
||||
opacity: 0.7;
|
||||
font-size: var(--text-xs);
|
||||
color: var(--text-secondary);
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.result-value {
|
||||
font-size: 1.4em;
|
||||
font-weight: 600;
|
||||
font-size: var(--text-lg);
|
||||
font-weight: var(--weight-semibold);
|
||||
color: var(--text-color);
|
||||
}
|
||||
|
||||
@@ -527,13 +526,13 @@
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
gap: 8px;
|
||||
padding: 10px;
|
||||
gap: var(--space-2);
|
||||
padding: var(--space-2);
|
||||
cursor: pointer;
|
||||
color: var(--lora-accent);
|
||||
font-weight: 500;
|
||||
font-weight: var(--weight-medium);
|
||||
border-radius: var(--border-radius-xs);
|
||||
transition: background 0.2s;
|
||||
transition: background var(--transition-base);
|
||||
}
|
||||
|
||||
.details-toggle:hover {
|
||||
@@ -541,7 +540,7 @@
|
||||
}
|
||||
|
||||
.details-toggle i {
|
||||
transition: transform 0.2s;
|
||||
transition: transform var(--transition-base);
|
||||
}
|
||||
|
||||
.details-toggle.expanded i {
|
||||
@@ -561,10 +560,10 @@
|
||||
.result-item {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 10px;
|
||||
padding: 10px 12px;
|
||||
gap: var(--space-2);
|
||||
padding: var(--space-2) var(--space-3);
|
||||
border-bottom: 1px solid var(--border-color);
|
||||
font-size: 0.9em;
|
||||
font-size: var(--text-sm);
|
||||
}
|
||||
|
||||
.result-item:last-child {
|
||||
@@ -572,28 +571,23 @@
|
||||
}
|
||||
|
||||
.result-item-status {
|
||||
width: 24px;
|
||||
height: 24px;
|
||||
border-radius: 50%;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
font-size: 0.8em;
|
||||
font-size: var(--text-sm);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.result-item-status.success {
|
||||
background: oklch(from #00B87A l c h / 0.2);
|
||||
color: #00B87A;
|
||||
color: var(--color-success);
|
||||
}
|
||||
|
||||
.result-item-status.failed {
|
||||
background: oklch(from var(--lora-error) l c h / 0.2);
|
||||
color: var(--lora-error);
|
||||
color: var(--color-error);
|
||||
}
|
||||
|
||||
.result-item-status.skipped {
|
||||
background: oklch(from var(--lora-warning) l c h / 0.2);
|
||||
color: var(--lora-warning);
|
||||
color: var(--color-warning);
|
||||
}
|
||||
|
||||
.result-item-info {
|
||||
@@ -610,8 +604,8 @@
|
||||
}
|
||||
|
||||
.result-item-error {
|
||||
font-size: 0.8em;
|
||||
color: var(--lora-error);
|
||||
font-size: var(--text-xs);
|
||||
color: var(--color-error);
|
||||
margin-top: 2px;
|
||||
}
|
||||
|
||||
@@ -661,11 +655,11 @@
|
||||
|
||||
/* Completed State */
|
||||
.batch-progress-container.completed .progress-bar {
|
||||
background: #00B87A;
|
||||
background: var(--color-success);
|
||||
}
|
||||
|
||||
.batch-progress-container.completed .status-icon {
|
||||
color: #00B87A;
|
||||
color: var(--color-success);
|
||||
}
|
||||
|
||||
.batch-progress-container.completed .status-icon i {
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
/* Style for selected cards */
|
||||
.model-card.selected {
|
||||
box-shadow: 0 0 0 2px var(--lora-accent);
|
||||
outline: 2px solid var(--lora-accent);
|
||||
outline-offset: -2px;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
|
||||
@@ -509,6 +509,50 @@
|
||||
background: rgba(0,0,0,0.18); /* Optional: subtle background for contrast */
|
||||
}
|
||||
|
||||
/* Clickable version count link (shown in group-by-model mode) */
|
||||
.version-count-link {
|
||||
display: inline-block;
|
||||
color: var(--color-accent);
|
||||
text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.5);
|
||||
font-size: 0.85em;
|
||||
line-height: 1.4;
|
||||
margin-top: 2px;
|
||||
border: 1px solid var(--color-accent-border);
|
||||
border-radius: var(--border-radius-xs);
|
||||
padding: 1px 6px;
|
||||
background: var(--color-accent-subtle);
|
||||
cursor: pointer;
|
||||
transition: background 0.15s ease, border-color 0.15s ease;
|
||||
}
|
||||
.version-count-link:hover {
|
||||
background: var(--color-accent-border);
|
||||
border-color: var(--color-accent-transparent);
|
||||
}
|
||||
|
||||
/* Medium density adjustments for version count link */
|
||||
.medium-density .version-count-link {
|
||||
font-size: 0.8em;
|
||||
}
|
||||
|
||||
.medium-density .badge-version-unit .version-count-link {
|
||||
max-width: 90px;
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
|
||||
/* Compact density adjustments for version count link */
|
||||
.compact-density .version-count-link {
|
||||
font-size: 0.75em;
|
||||
}
|
||||
|
||||
.compact-density .badge-version-unit .version-count-link {
|
||||
max-width: 70px;
|
||||
white-space: nowrap;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
|
||||
/* Version row — flex container for badges + version names */
|
||||
.version-row {
|
||||
display: flex;
|
||||
@@ -690,6 +734,21 @@ body.hide-card-version .hl-badge {
|
||||
}
|
||||
}
|
||||
|
||||
/* Grid-scoped loading overlay (replaces full-page overlay for VirtualScroller refreshes) */
|
||||
.grid-loading-overlay {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
background: var(--lora-bg-transparent, oklch(0% 0 0 / 0.3));
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
z-index: 100;
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
/* Add after the existing .model-card:hover styles */
|
||||
|
||||
@keyframes update-pulse {
|
||||
|
||||
@@ -5,10 +5,10 @@
|
||||
position: sticky; /* Keep the sticky position */
|
||||
top: var(--space-1);
|
||||
width: 100%;
|
||||
background-color: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.1); /* Use accent color with low opacity */
|
||||
background-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h) / 0.1); /* Use accent color with low opacity */
|
||||
color: var(--text-color);
|
||||
border-top: 1px solid oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.3); /* Add top border with accent color */
|
||||
border-bottom: 1px solid oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.4); /* Make bottom border stronger */
|
||||
border-top: 1px solid oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h) / 0.3); /* Add top border with accent color */
|
||||
border-bottom: 1px solid oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h) / 0.4); /* Make bottom border stronger */
|
||||
z-index: var(--z-overlay);
|
||||
padding: 12px 0;
|
||||
box-shadow: var(--shadow-lg); /* Stronger shadow */
|
||||
@@ -41,7 +41,7 @@
|
||||
|
||||
.duplicates-banner i.fa-exclamation-triangle {
|
||||
font-size: 18px;
|
||||
color: oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
color: oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
}
|
||||
|
||||
.duplicates-banner .banner-actions {
|
||||
@@ -70,7 +70,7 @@
|
||||
|
||||
.duplicates-banner button.btn-exit-mode:hover {
|
||||
background-color: var(--bg-color);
|
||||
border-color: var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h);
|
||||
border-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
|
||||
@@ -92,7 +92,7 @@
|
||||
}
|
||||
|
||||
.duplicates-banner button:hover {
|
||||
border-color: var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h);
|
||||
border-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
background: var(--bg-color);
|
||||
transform: translateY(-1px);
|
||||
box-shadow: var(--shadow-sm);
|
||||
@@ -117,7 +117,7 @@
|
||||
/* Duplicate groups */
|
||||
.duplicate-group {
|
||||
position: relative;
|
||||
border: 2px solid oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
border: 2px solid oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
border-radius: var(--border-radius-base);
|
||||
padding: 16px;
|
||||
margin-bottom: 24px;
|
||||
@@ -152,7 +152,7 @@
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
border-left: 4px solid oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h)); /* Add accent border on the left */
|
||||
border-left: 4px solid oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h)); /* Add accent border on the left */
|
||||
}
|
||||
|
||||
.duplicate-group-header span:last-child {
|
||||
@@ -180,7 +180,7 @@
|
||||
}
|
||||
|
||||
.duplicate-group-header button:hover {
|
||||
border-color: var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h);
|
||||
border-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
background: var(--bg-color);
|
||||
transform: translateY(-1px);
|
||||
box-shadow: var(--shadow-sm);
|
||||
@@ -235,7 +235,7 @@
|
||||
}
|
||||
|
||||
.group-toggle-btn:hover {
|
||||
border-color: var(--lora-accent-l) var(--lora-accent-c) var (--lora-accent-h);
|
||||
border-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
transform: translateY(-1px);
|
||||
box-shadow: var(--shadow-sm);
|
||||
}
|
||||
@@ -247,16 +247,16 @@
|
||||
}
|
||||
|
||||
.model-card.duplicate:hover {
|
||||
border-color: var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h);
|
||||
border-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
}
|
||||
|
||||
.model-card.duplicate.latest {
|
||||
border-style: solid;
|
||||
border-color: oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
border-color: oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
}
|
||||
|
||||
.model-card.duplicate-selected {
|
||||
border: 2px solid oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h));
|
||||
border: 2px solid oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
box-shadow: var(--shadow-md);
|
||||
}
|
||||
|
||||
@@ -276,7 +276,7 @@
|
||||
position: absolute;
|
||||
top: 10px;
|
||||
left: 10px;
|
||||
background: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h));
|
||||
background: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
color: white;
|
||||
font-size: 12px;
|
||||
padding: 2px 6px;
|
||||
@@ -328,7 +328,7 @@
|
||||
margin-top: 8px;
|
||||
padding-top: 8px;
|
||||
border-top: 1px dashed var(--border-color);
|
||||
color: oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
color: oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
font-weight: bold;
|
||||
word-break: break-all; /* Ensure long hashes wrap properly */
|
||||
}
|
||||
@@ -351,12 +351,12 @@
|
||||
}
|
||||
|
||||
.verification-badge.verified {
|
||||
background-color: oklch(70% 0.2 140); /* Green for verified */
|
||||
background-color: var(--color-success); /* Green for verified */
|
||||
color: white;
|
||||
}
|
||||
|
||||
.verification-badge.mismatch {
|
||||
background-color: oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
background-color: oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
color: white;
|
||||
}
|
||||
|
||||
@@ -366,7 +366,7 @@
|
||||
|
||||
/* Hash Mismatch Styling */
|
||||
.model-card.duplicate.hash-mismatch {
|
||||
border: 2px dashed oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
border: 2px dashed oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
opacity: 0.85;
|
||||
position: relative;
|
||||
}
|
||||
@@ -380,8 +380,8 @@
|
||||
bottom: 0;
|
||||
background: repeating-linear-gradient(
|
||||
45deg,
|
||||
oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h) / 0.05),
|
||||
oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h) / 0.05) 10px,
|
||||
oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h) / 0.05),
|
||||
oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h) / 0.05) 10px,
|
||||
transparent 10px,
|
||||
transparent 20px
|
||||
);
|
||||
@@ -398,7 +398,7 @@
|
||||
position: absolute;
|
||||
top: 10px;
|
||||
left: 10px; /* Changed from right:10px to left:10px */
|
||||
background: oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
background: oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
color: white;
|
||||
font-size: 12px;
|
||||
padding: 3px 8px;
|
||||
@@ -417,7 +417,7 @@
|
||||
margin-top: 8px;
|
||||
padding-top: 8px;
|
||||
border-top: 1px dashed var(--border-color);
|
||||
color: oklch(var(--lora-warning-l) var(--lora-warning-c) var(--lora-warning-h));
|
||||
color: oklch(var(--color-warning-l) var(--color-warning-c) var(--color-warning-h));
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
@@ -437,7 +437,7 @@
|
||||
|
||||
.btn-verify-hashes:hover {
|
||||
background: var(--bg-color);
|
||||
border-color: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h));
|
||||
border-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
|
||||
@@ -498,7 +498,7 @@
|
||||
|
||||
.help-icon:hover {
|
||||
opacity: 1;
|
||||
color: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h));
|
||||
color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h));
|
||||
}
|
||||
|
||||
/* Help tooltip */
|
||||
@@ -573,7 +573,7 @@
|
||||
/* In dark mode, add additional distinction */
|
||||
html[data-theme="dark"] .duplicates-banner {
|
||||
box-shadow: var(--shadow-dark-lg); /* Stronger shadow in dark mode */
|
||||
background-color: oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.15); /* Slightly stronger background in dark mode */
|
||||
background-color: oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h) / 0.15); /* Slightly stronger background in dark mode */
|
||||
}
|
||||
|
||||
html[data-theme="dark"] .duplicate-group {
|
||||
@@ -598,11 +598,11 @@ html[data-theme="dark"] .help-tooltip {
|
||||
background: var(--lora-accent);
|
||||
color: white;
|
||||
border-color: var(--lora-accent);
|
||||
box-shadow: 0 0 0 2px oklch(var(--lora-accent-l) var(--lora-accent-c) var(--lora-accent-h) / 0.25);
|
||||
box-shadow: 0 0 0 2px oklch(var(--color-accent-l) var(--color-accent-c) var(--color-accent-h) / 0.25);
|
||||
position: relative;
|
||||
z-index: 5;
|
||||
}
|
||||
|
||||
#findDuplicatesBtn.active:hover {
|
||||
background: oklch(calc(var(--lora-accent-l) - 5%) var(--lora-accent-c) var(--lora-accent-h));
|
||||
background: oklch(calc(var(--color-accent-l) - 5%) var(--color-accent-c) var(--color-accent-h));
|
||||
}
|
||||
|
||||
@@ -149,7 +149,7 @@
|
||||
width: 100%;
|
||||
padding: 0.5rem 0.75rem;
|
||||
padding-left: 2.25rem !important;
|
||||
padding-right: 5rem !important;
|
||||
padding-right: 6.75rem !important; /* clear room for options + filter + clear/cue toggles */
|
||||
border: none;
|
||||
background: transparent;
|
||||
color: var(--text-color);
|
||||
@@ -190,6 +190,81 @@
|
||||
right: 2.25rem;
|
||||
}
|
||||
|
||||
/* Clear button: sit immediately left of the search-options toggle */
|
||||
.header-search .search-clear {
|
||||
position: absolute;
|
||||
right: 4.25rem; /* 2.25rem (options toggle) + 28px toggle width + 4px gap */
|
||||
top: 50%;
|
||||
transform: translateY(-50%);
|
||||
width: 28px;
|
||||
height: 28px;
|
||||
display: none;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
background: transparent;
|
||||
border: none;
|
||||
color: var(--text-muted);
|
||||
cursor: pointer;
|
||||
border-radius: var(--border-radius-xs, 4px);
|
||||
padding: 0;
|
||||
line-height: 1;
|
||||
transition: background-color var(--transition-base), color var(--transition-base);
|
||||
}
|
||||
|
||||
.header-search .search-clear.visible {
|
||||
display: flex;
|
||||
}
|
||||
|
||||
.header-search .search-clear:hover {
|
||||
background: color-mix(in oklch, var(--text-muted) 15%, transparent);
|
||||
color: var(--lora-accent);
|
||||
}
|
||||
|
||||
/* Keyboard shortcut cue: shown when search is empty, hidden when typing */
|
||||
.header-search .search-shortcut-cue {
|
||||
position: absolute;
|
||||
right: 4.25rem; /* same slot as clear button */
|
||||
top: 50%;
|
||||
transform: translateY(-50%);
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 2px;
|
||||
pointer-events: none;
|
||||
font-family: inherit;
|
||||
font-size: 0.7rem;
|
||||
line-height: 1;
|
||||
color: var(--text-muted);
|
||||
opacity: 0.7;
|
||||
white-space: nowrap;
|
||||
transition: opacity 0.2s ease;
|
||||
}
|
||||
|
||||
.header-search .search-shortcut-cue kbd {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
min-width: 18px;
|
||||
height: 18px;
|
||||
padding: 0 4px;
|
||||
font-family: inherit;
|
||||
font-size: 0.68rem;
|
||||
font-weight: 500;
|
||||
color: var(--text-muted);
|
||||
/* Subtle tint derived from text color so it adapts to both light & dark themes */
|
||||
background: color-mix(in oklch, var(--text-muted) 12%, transparent);
|
||||
border: 1px solid color-mix(in oklch, var(--text-muted) 25%, transparent);
|
||||
border-radius: var(--border-radius-xs, 3px);
|
||||
line-height: 1;
|
||||
}
|
||||
|
||||
.header-search .search-shortcut-cue.hidden {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.header-search.disabled .search-shortcut-cue {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.header-search .search-options-toggle:hover,
|
||||
.header-search .search-filter-toggle:hover,
|
||||
.header-search .search-filter-toggle:focus-visible {
|
||||
@@ -283,7 +358,6 @@
|
||||
|
||||
.theme-toggle {
|
||||
position: relative;
|
||||
/* Ensure relative positioning for the container */
|
||||
}
|
||||
|
||||
.theme-toggle .light-icon,
|
||||
@@ -293,17 +367,14 @@
|
||||
top: 50%;
|
||||
left: 50%;
|
||||
transform: translate(-50%, -50%);
|
||||
/* Center perfectly */
|
||||
opacity: 0;
|
||||
transition: opacity 0.3s ease;
|
||||
}
|
||||
|
||||
/* Default state shows dark icon */
|
||||
.theme-toggle .dark-icon {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
/* Light theme shows light icon */
|
||||
.theme-toggle.theme-light .light-icon {
|
||||
opacity: 1;
|
||||
}
|
||||
@@ -313,7 +384,6 @@
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
/* Dark theme shows dark icon */
|
||||
.theme-toggle.theme-dark .dark-icon {
|
||||
opacity: 1;
|
||||
}
|
||||
@@ -323,7 +393,6 @@
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
/* Auto theme shows auto icon */
|
||||
.theme-toggle.theme-auto .auto-icon {
|
||||
opacity: 1;
|
||||
}
|
||||
@@ -333,6 +402,201 @@
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
.theme-popover {
|
||||
display: none;
|
||||
position: fixed;
|
||||
background: var(--surface-base, #ffffff);
|
||||
border: 1px solid var(--border-base, #e0e0e0);
|
||||
border-radius: var(--radius-md, 8px);
|
||||
box-shadow: var(--shadow-xl, 0 4px 16px rgba(0, 0, 0, 0.15));
|
||||
padding: 12px;
|
||||
min-width: 220px;
|
||||
z-index: calc(var(--z-overlay) + 1);
|
||||
animation: theme-popover-in 0.15s ease-out;
|
||||
}
|
||||
|
||||
.theme-popover.active {
|
||||
display: block;
|
||||
}
|
||||
|
||||
@keyframes theme-popover-in {
|
||||
from {
|
||||
opacity: 0;
|
||||
transform: translateY(-4px);
|
||||
}
|
||||
to {
|
||||
opacity: 1;
|
||||
transform: translateY(0);
|
||||
}
|
||||
}
|
||||
|
||||
.theme-popover-section {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.theme-popover-label {
|
||||
font-size: 0.7rem;
|
||||
font-weight: 600;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.05em;
|
||||
color: var(--text-secondary, #6c757d);
|
||||
}
|
||||
|
||||
.theme-popover-divider {
|
||||
height: 1px;
|
||||
background: var(--border-base, #e0e0e0);
|
||||
margin: 10px 0;
|
||||
}
|
||||
|
||||
.theme-popover-modes {
|
||||
display: flex;
|
||||
gap: 6px;
|
||||
}
|
||||
|
||||
.theme-mode-btn {
|
||||
flex: 1;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
padding: 8px 4px;
|
||||
border: 1px solid var(--border-base, #e0e0e0);
|
||||
border-radius: var(--radius-sm, 6px);
|
||||
background: var(--surface-elevated, #ffffff);
|
||||
color: var(--text-primary, #333333);
|
||||
cursor: pointer;
|
||||
font-size: 0.75rem;
|
||||
transition: background-color var(--transition-base, 200ms ease),
|
||||
border-color var(--transition-base, 200ms ease),
|
||||
color var(--transition-base, 200ms ease);
|
||||
}
|
||||
|
||||
.theme-mode-btn i {
|
||||
font-size: 0.9rem;
|
||||
}
|
||||
|
||||
.theme-mode-btn:hover {
|
||||
background: var(--surface-hover, oklch(95% 0.02 256));
|
||||
border-color: var(--color-accent, oklch(68% 0.28 256));
|
||||
}
|
||||
|
||||
.theme-mode-btn.active {
|
||||
background: var(--color-accent-subtle, oklch(68% 0.28 256 / 0.12));
|
||||
border-color: var(--color-accent, oklch(68% 0.28 256));
|
||||
color: var(--color-accent, oklch(68% 0.28 256));
|
||||
}
|
||||
|
||||
.theme-popover-presets {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(3, 1fr);
|
||||
gap: 6px;
|
||||
}
|
||||
|
||||
.theme-preset-btn {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
padding: 8px 4px;
|
||||
border: 1px solid var(--border-base, #e0e0e0);
|
||||
border-radius: var(--radius-sm, 6px);
|
||||
background: var(--surface-elevated, #ffffff);
|
||||
color: var(--text-primary, #333333);
|
||||
cursor: pointer;
|
||||
font-size: 0.7rem;
|
||||
transition: background-color var(--transition-base, 200ms ease),
|
||||
border-color var(--transition-base, 200ms ease),
|
||||
color var(--transition-base, 200ms ease);
|
||||
}
|
||||
|
||||
.theme-preset-btn:hover {
|
||||
background: var(--surface-hover, oklch(95% 0.02 256));
|
||||
border-color: var(--color-accent, oklch(68% 0.28 256));
|
||||
}
|
||||
|
||||
.theme-preset-btn.active {
|
||||
background: var(--color-accent-subtle, oklch(68% 0.28 256 / 0.12));
|
||||
border-color: var(--color-accent, oklch(68% 0.28 256));
|
||||
color: var(--color-accent, oklch(68% 0.28 256));
|
||||
}
|
||||
|
||||
.preset-swatch {
|
||||
display: inline-block;
|
||||
width: 22px;
|
||||
height: 22px;
|
||||
border-radius: var(--radius-xs, 4px);
|
||||
border: 1px solid var(--border-subtle, oklch(72% 0.03 256 / 0.45));
|
||||
flex-shrink: 0;
|
||||
transition: transform var(--transition-base, 200ms ease),
|
||||
box-shadow var(--transition-base, 200ms ease);
|
||||
}
|
||||
|
||||
/* Solid accent colors — each swatch shows the theme's accent color directly.
|
||||
This matches the app's flat, token-driven design language instead of using
|
||||
decorative gradients that clash with the matte aesthetic. */
|
||||
|
||||
.preset-swatch-default {
|
||||
background: oklch(68% 0.28 256);
|
||||
}
|
||||
|
||||
.preset-swatch-nord {
|
||||
background: oklch(62% 0.18 213);
|
||||
}
|
||||
|
||||
.preset-swatch-midnight {
|
||||
background: oklch(52% 0.15 300);
|
||||
}
|
||||
|
||||
.preset-swatch-monokai {
|
||||
background: oklch(72% 0.24 190);
|
||||
}
|
||||
|
||||
.preset-swatch-dracula {
|
||||
background: oklch(68% 0.24 265);
|
||||
}
|
||||
|
||||
.preset-swatch-solarized {
|
||||
background: oklch(55% 0.18 175);
|
||||
}
|
||||
|
||||
.theme-preset-btn.active .preset-swatch {
|
||||
box-shadow: 0 0 0 2px var(--color-accent, oklch(68% 0.28 256));
|
||||
}
|
||||
|
||||
.theme-preset-btn:hover .preset-swatch {
|
||||
transform: scale(1.08);
|
||||
}
|
||||
|
||||
/* Dark mode: use each preset's dark-mode accent lightness for visibility.
|
||||
These match the --color-accent-l values from [data-theme="dark"][data-theme-preset="..."]
|
||||
in tokens/colors.css so the swatch accurately previews what the theme looks like. */
|
||||
|
||||
[data-theme="dark"] .preset-swatch-default {
|
||||
background: oklch(68% 0.28 256);
|
||||
}
|
||||
|
||||
[data-theme="dark"] .preset-swatch-nord {
|
||||
background: oklch(68% 0.18 213);
|
||||
}
|
||||
|
||||
[data-theme="dark"] .preset-swatch-midnight {
|
||||
background: oklch(68% 0.14 300);
|
||||
}
|
||||
|
||||
[data-theme="dark"] .preset-swatch-monokai {
|
||||
background: oklch(72% 0.24 190);
|
||||
}
|
||||
|
||||
[data-theme="dark"] .preset-swatch-dracula {
|
||||
background: oklch(72% 0.24 265);
|
||||
}
|
||||
|
||||
[data-theme="dark"] .preset-swatch-solarized {
|
||||
background: oklch(60% 0.18 175);
|
||||
}
|
||||
|
||||
/* Badge styling */
|
||||
.update-badge {
|
||||
position: absolute;
|
||||
|
||||
@@ -211,7 +211,7 @@
|
||||
|
||||
.lora-item.is-early-access {
|
||||
background: rgba(0, 184, 122, 0.05);
|
||||
border-left: 4px solid #00B87A;
|
||||
border-left: 4px solid var(--color-success);
|
||||
}
|
||||
|
||||
.lora-item.missing-locally {
|
||||
@@ -310,7 +310,7 @@
|
||||
|
||||
.missing-lora-item.is-early-access {
|
||||
background: rgba(0, 184, 122, 0.05);
|
||||
border-left: 3px solid #00B87A;
|
||||
border-left: 3px solid var(--color-success);
|
||||
padding-left: 10px;
|
||||
}
|
||||
|
||||
@@ -630,7 +630,7 @@
|
||||
gap: 12px;
|
||||
padding: 12px 16px;
|
||||
background: rgba(0, 184, 122, 0.1);
|
||||
border: 1px solid #00B87A;
|
||||
border: 1px solid var(--color-success);
|
||||
border-radius: var(--border-radius-sm);
|
||||
color: var(--text-color);
|
||||
margin-bottom: var(--space-2);
|
||||
@@ -646,7 +646,7 @@
|
||||
|
||||
/* Specific styling for the early access warning container in import modal */
|
||||
.early-access-warning .warning-icon {
|
||||
color: #00B87A;
|
||||
color: var(--color-success);
|
||||
font-size: 1.2em;
|
||||
}
|
||||
|
||||
|
||||
@@ -1,96 +0,0 @@
|
||||
/* Keyboard navigation indicator and help */
|
||||
.keyboard-nav-hint {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
position: relative;
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
border-radius: 50%;
|
||||
background: var(--card-bg);
|
||||
border: 1px solid var(--border-color);
|
||||
color: var(--text-color);
|
||||
cursor: help;
|
||||
transition: var(--transition-base);
|
||||
margin-left: 8px;
|
||||
}
|
||||
|
||||
.keyboard-nav-hint:hover {
|
||||
background: var(--lora-accent);
|
||||
color: white;
|
||||
transform: translateY(-2px);
|
||||
box-shadow: var(--shadow-sm);
|
||||
}
|
||||
|
||||
.keyboard-nav-hint i {
|
||||
font-size: 14px;
|
||||
}
|
||||
|
||||
/* Tooltip styling */
|
||||
.tooltip {
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.tooltip .tooltiptext {
|
||||
visibility: hidden;
|
||||
width: 240px;
|
||||
background-color: var(--lora-surface);
|
||||
color: var(--text-color);
|
||||
text-align: center;
|
||||
border-radius: var(--border-radius-xs);
|
||||
padding: 8px;
|
||||
position: absolute;
|
||||
z-index: 9999; /* Ensure tooltip appears above cards */
|
||||
right: 120%; /* Position tooltip to the left of the icon */
|
||||
top: 50%; /* Vertically center */
|
||||
transform: translateY(-15%); /* Vertically center */
|
||||
opacity: 0;
|
||||
transition: opacity 0.3s;
|
||||
box-shadow: var(--shadow-lg);
|
||||
border: 1px solid var(--lora-border);
|
||||
font-size: 0.85em;
|
||||
line-height: 1.4;
|
||||
}
|
||||
|
||||
.tooltip .tooltiptext::after {
|
||||
content: "";
|
||||
position: absolute;
|
||||
top: 50%; /* Vertically center arrow */
|
||||
left: 100%; /* Arrow on the right side */
|
||||
margin-top: -5px;
|
||||
border-width: 5px;
|
||||
border-style: solid;
|
||||
border-color: transparent transparent transparent var(--lora-border); /* Arrow points right */
|
||||
}
|
||||
|
||||
.tooltip:hover .tooltiptext {
|
||||
visibility: visible;
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
/* Keyboard shortcuts table */
|
||||
.keyboard-shortcuts {
|
||||
width: 100%;
|
||||
border-collapse: collapse;
|
||||
margin-top: 5px;
|
||||
}
|
||||
|
||||
.keyboard-shortcuts td {
|
||||
padding: 4px;
|
||||
text-align: left;
|
||||
}
|
||||
|
||||
.keyboard-shortcuts td:first-child {
|
||||
font-weight: bold;
|
||||
width: 40%;
|
||||
}
|
||||
|
||||
.key {
|
||||
display: inline-block;
|
||||
background: var(--bg-color);
|
||||
border: 1px solid var(--border-color);
|
||||
border-radius: 3px;
|
||||
padding: 1px 5px;
|
||||
font-size: 0.8em;
|
||||
box-shadow: var(--shadow-xs);
|
||||
}
|
||||
@@ -72,6 +72,10 @@
|
||||
margin-left: auto;
|
||||
}
|
||||
|
||||
.modal-header-actions .license-permissions {
|
||||
margin-left: auto;
|
||||
}
|
||||
|
||||
.license-restrictions {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
@@ -95,6 +99,41 @@
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
|
||||
/* Set 2 — New style permission indicators */
|
||||
.license-permissions {
|
||||
display: flex;
|
||||
gap: 4px;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.license-icon-new {
|
||||
width: 22px;
|
||||
height: 22px;
|
||||
display: inline-block;
|
||||
border-radius: 4px;
|
||||
background-color: var(--text-muted);
|
||||
-webkit-mask: var(--license-icon-image) center/contain no-repeat;
|
||||
mask: var(--license-icon-image) center/contain no-repeat;
|
||||
transition: background-color 0.2s ease, transform 0.2s ease;
|
||||
cursor: default;
|
||||
outline: 2px solid transparent;
|
||||
outline-offset: 1px;
|
||||
}
|
||||
|
||||
.license-icon-new.allowed {
|
||||
background-color: var(--color-success, #40c057);
|
||||
outline-color: color-mix(in oklch, var(--color-success, #40c057) 30%, transparent);
|
||||
}
|
||||
|
||||
.license-icon-new.denied {
|
||||
background-color: var(--color-error, #fa5252);
|
||||
outline-color: color-mix(in oklch, var(--color-error, #fa5252) 30%, transparent);
|
||||
}
|
||||
|
||||
.license-icon-new:hover {
|
||||
transform: translateY(-1px);
|
||||
}
|
||||
|
||||
/* Info Grid */
|
||||
.info-grid {
|
||||
display: grid;
|
||||
|
||||
@@ -229,6 +229,19 @@
|
||||
gap: 10px;
|
||||
}
|
||||
|
||||
/* Header row for params section */
|
||||
.metadata-row.params-row {
|
||||
flex-direction: column;
|
||||
}
|
||||
|
||||
.metadata-row.params-row .param-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
/* Styling for parameters tags */
|
||||
.params-tags {
|
||||
display: flex;
|
||||
@@ -272,13 +285,25 @@
|
||||
margin-top: var(--space-2);
|
||||
}
|
||||
|
||||
.metadata-row.prompt-row .param-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.metadata-row.prompt-row .param-actions {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
}
|
||||
|
||||
.metadata-label {
|
||||
font-weight: 600;
|
||||
color: var(--text-color);
|
||||
opacity: 0.8;
|
||||
font-size: 0.85em;
|
||||
display: block;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.metadata-prompt-wrapper {
|
||||
@@ -286,7 +311,7 @@
|
||||
background: var(--lora-surface);
|
||||
border: 1px solid var(--lora-border);
|
||||
border-radius: var(--border-radius-xs);
|
||||
padding: 6px 30px 6px 8px;
|
||||
padding: 6px 8px;
|
||||
margin-top: 2px;
|
||||
max-height: 80px; /* Reduced from 120px */
|
||||
overflow-y: auto;
|
||||
@@ -302,22 +327,26 @@
|
||||
white-space: pre-wrap;
|
||||
}
|
||||
|
||||
.copy-prompt-btn {
|
||||
position: absolute;
|
||||
top: 6px;
|
||||
right: 6px;
|
||||
.copy-prompt-btn,
|
||||
.send-prompt-btn,
|
||||
.send-params-btn {
|
||||
background: transparent;
|
||||
border: none;
|
||||
color: var(--text-color);
|
||||
opacity: 0.6;
|
||||
cursor: pointer;
|
||||
padding: 3px;
|
||||
padding: 3px 6px;
|
||||
border-radius: var(--border-radius-xs);
|
||||
transition: var(--transition-base);
|
||||
font-size: 0.9em;
|
||||
}
|
||||
|
||||
.copy-prompt-btn:hover {
|
||||
.copy-prompt-btn:hover,
|
||||
.send-prompt-btn:hover,
|
||||
.send-params-btn:hover {
|
||||
opacity: 1;
|
||||
color: var(--lora-accent);
|
||||
background: var(--lora-surface);
|
||||
}
|
||||
|
||||
/* Scrollbar styling for metadata panel */
|
||||
|
||||
@@ -17,6 +17,8 @@
|
||||
flex-wrap: nowrap;
|
||||
gap: 6px;
|
||||
align-items: center;
|
||||
min-width: 0;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.model-tag-compact {
|
||||
@@ -28,6 +30,9 @@
|
||||
font-size: 0.75em;
|
||||
color: var(--text-color);
|
||||
white-space: nowrap;
|
||||
max-width: 150px;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
|
||||
/* Style for empty tags placeholder */
|
||||
@@ -118,8 +123,9 @@
|
||||
/* Model Tags Edit Mode */
|
||||
.model-tags-header {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
justify-content: flex-start;
|
||||
align-items: center;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.edit-tags-btn {
|
||||
@@ -132,6 +138,7 @@
|
||||
border-radius: var(--border-radius-xs);
|
||||
transition: var(--transition-base);
|
||||
margin-left: var(--space-1);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.edit-tags-btn.visible,
|
||||
|
||||
@@ -24,11 +24,6 @@
|
||||
min-width: 130px;
|
||||
}
|
||||
|
||||
.stat-card > i {
|
||||
font-size: 1.25em;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.stat-card-body {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
@@ -52,40 +47,20 @@
|
||||
border-left-color: var(--color-success);
|
||||
}
|
||||
|
||||
.stat-card-success > i {
|
||||
color: var(--color-success);
|
||||
}
|
||||
|
||||
.stat-card-failure {
|
||||
border-left-color: var(--color-error);
|
||||
}
|
||||
|
||||
.stat-card-failure > i {
|
||||
color: var(--color-error);
|
||||
}
|
||||
|
||||
.stat-card-skipped {
|
||||
border-left-color: var(--color-warning);
|
||||
}
|
||||
|
||||
.stat-card-skipped > i {
|
||||
color: var(--color-warning);
|
||||
}
|
||||
|
||||
.stat-card-total {
|
||||
border-left-color: var(--color-info);
|
||||
}
|
||||
|
||||
.stat-card-total > i {
|
||||
color: var(--color-info);
|
||||
border-left-color: var(--lora-border);
|
||||
}
|
||||
|
||||
.stat-card-time {
|
||||
border-left-color: var(--color-accent);
|
||||
}
|
||||
|
||||
.stat-card-time > i {
|
||||
color: var(--color-accent);
|
||||
border-left-color: var(--lora-border);
|
||||
}
|
||||
|
||||
.refresh-failures-section {
|
||||
@@ -122,7 +97,7 @@
|
||||
position: sticky;
|
||||
top: 0;
|
||||
background: var(--lora-surface);
|
||||
border-bottom: 2px solid var(--lora-border);
|
||||
border-bottom: 1px solid var(--lora-border);
|
||||
padding: var(--space-1) var(--space-2);
|
||||
text-align: left;
|
||||
font-weight: var(--weight-semibold);
|
||||
|
||||
@@ -335,7 +335,12 @@
|
||||
}
|
||||
}
|
||||
|
||||
/* API key input specific styles */
|
||||
/* API key input — CSS masking (prevents Chrome password manager triggers) */
|
||||
.api-key-masked {
|
||||
-webkit-text-security: disc;
|
||||
}
|
||||
|
||||
/* API key input specific styles (shared with proxy password) */
|
||||
.api-key-input {
|
||||
width: 100%; /* Take full width of parent */
|
||||
position: relative;
|
||||
@@ -345,7 +350,7 @@
|
||||
|
||||
.api-key-input input {
|
||||
width: 100%;
|
||||
padding: 6px 40px 6px 10px; /* Add left padding */
|
||||
padding: 6px 40px 6px 10px; /* Right padding for eye button */
|
||||
height: 32px;
|
||||
box-sizing: border-box;
|
||||
border-radius: var(--border-radius-xs);
|
||||
@@ -353,6 +358,13 @@
|
||||
background-color: var(--lora-surface);
|
||||
color: var(--text-color);
|
||||
font-size: 0.95em;
|
||||
transition: border-color 0.2s ease, box-shadow 0.2s ease;
|
||||
}
|
||||
|
||||
.api-key-input input:focus {
|
||||
border-color: var(--lora-accent);
|
||||
outline: none;
|
||||
box-shadow: 0 0 0 2px rgba(var(--lora-accent-rgb, 79, 70, 229), 0.1);
|
||||
}
|
||||
|
||||
.api-key-input .toggle-visibility {
|
||||
@@ -364,12 +376,98 @@
|
||||
opacity: 0.6;
|
||||
cursor: pointer;
|
||||
padding: 4px 8px;
|
||||
transition: opacity 0.2s ease;
|
||||
}
|
||||
|
||||
.api-key-input .toggle-visibility:hover {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
/* API key item — stack status/edit views vertically for smooth cross-fade */
|
||||
.api-key-item .setting-control {
|
||||
flex-direction: column;
|
||||
align-items: flex-end;
|
||||
}
|
||||
|
||||
/* API key status display (shown when not editing) */
|
||||
.api-key-status {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 10px;
|
||||
width: 100%;
|
||||
justify-content: flex-end;
|
||||
transition: opacity 0.2s ease, transform 0.2s ease, max-height 0.25s ease;
|
||||
max-height: 80px;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.api-key-status.is-hidden {
|
||||
opacity: 0;
|
||||
max-height: 0;
|
||||
transform: translateY(-4px);
|
||||
pointer-events: none;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.api-key-status-text {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
font-size: 0.95em;
|
||||
white-space: nowrap;
|
||||
transition: color 0.2s ease;
|
||||
}
|
||||
|
||||
/* Status color modifiers — replace inline styles */
|
||||
.api-key-status--configured .fa-check-circle {
|
||||
color: var(--lora-success);
|
||||
}
|
||||
|
||||
.api-key-status--unconfigured .fa-times-circle {
|
||||
color: var(--lora-error);
|
||||
}
|
||||
|
||||
/* Utility classes for status icon colors (used by JS) */
|
||||
.text-success {
|
||||
color: var(--lora-success);
|
||||
}
|
||||
|
||||
.text-error {
|
||||
color: var(--lora-error);
|
||||
}
|
||||
|
||||
/* API key inline edit container — flex row with input + buttons */
|
||||
.api-key-edit {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
width: 100%;
|
||||
justify-content: flex-end;
|
||||
transition: opacity 0.2s ease, transform 0.2s ease, max-height 0.25s ease;
|
||||
max-height: 80px;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.api-key-edit.is-hidden {
|
||||
opacity: 0;
|
||||
max-height: 0;
|
||||
transform: translateY(-4px);
|
||||
pointer-events: none;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.api-key-edit .api-key-input {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.api-key-edit .primary-btn,
|
||||
.api-key-edit .secondary-btn {
|
||||
height: 32px;
|
||||
flex-shrink: 0;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
/* Text input wrapper styles for consistent input styling */
|
||||
.text-input-wrapper {
|
||||
width: 100%;
|
||||
@@ -823,54 +921,107 @@
|
||||
}
|
||||
|
||||
.range-control input[type="range"] {
|
||||
--range-fill: 40%;
|
||||
width: 120px;
|
||||
height: 4px;
|
||||
height: 6px;
|
||||
-webkit-appearance: none;
|
||||
appearance: none;
|
||||
background: var(--border-color);
|
||||
border-radius: 2px;
|
||||
background: linear-gradient(
|
||||
to right,
|
||||
var(--lora-accent) 0%,
|
||||
var(--lora-accent) var(--range-fill),
|
||||
var(--border-color) var(--range-fill),
|
||||
var(--border-color) 100%
|
||||
);
|
||||
border-radius: var(--radius-full);
|
||||
outline: none;
|
||||
cursor: pointer;
|
||||
flex-shrink: 0;
|
||||
transition: background 0.3s ease;
|
||||
}
|
||||
|
||||
.range-control input[type="range"]:focus-visible {
|
||||
outline: none;
|
||||
}
|
||||
|
||||
.range-control input[type="range"]::-webkit-slider-thumb {
|
||||
-webkit-appearance: none;
|
||||
appearance: none;
|
||||
width: 16px;
|
||||
height: 16px;
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
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;
|
||||
box-shadow: var(--shadow-md);
|
||||
transition: transform var(--transition-bounce), box-shadow 0.2s ease;
|
||||
}
|
||||
|
||||
.range-control input[type="range"]::-webkit-slider-thumb:hover {
|
||||
transform: scale(1.15);
|
||||
transform: scale(1.2);
|
||||
box-shadow: var(--shadow-md), 0 0 0 4px var(--color-accent-subtle);
|
||||
}
|
||||
|
||||
.range-control input[type="range"]::-webkit-slider-thumb:active {
|
||||
transform: scale(1.1);
|
||||
box-shadow: var(--shadow-md), 0 0 0 6px var(--color-accent-subtle);
|
||||
}
|
||||
|
||||
.range-control input[type="range"]:focus-visible::-webkit-slider-thumb {
|
||||
box-shadow: var(--shadow-md), 0 0 0 3px var(--color-accent-subtle);
|
||||
}
|
||||
|
||||
.range-control input[type="range"]::-moz-range-thumb {
|
||||
width: 16px;
|
||||
height: 16px;
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
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);
|
||||
box-shadow: var(--shadow-md);
|
||||
transition: transform var(--transition-bounce), box-shadow 0.2s ease;
|
||||
}
|
||||
|
||||
.range-control input[type="range"]::-moz-range-thumb:hover {
|
||||
transform: scale(1.2);
|
||||
box-shadow: var(--shadow-md), 0 0 0 4px var(--color-accent-subtle);
|
||||
}
|
||||
|
||||
.range-control input[type="range"]::-moz-range-thumb:active {
|
||||
transform: scale(1.1);
|
||||
box-shadow: var(--shadow-md), 0 0 0 6px var(--color-accent-subtle);
|
||||
}
|
||||
|
||||
.range-control input[type="range"]::-moz-range-track {
|
||||
height: 6px;
|
||||
border-radius: var(--radius-full);
|
||||
background: var(--border-color);
|
||||
}
|
||||
|
||||
.range-control .range-value {
|
||||
min-width: 36px;
|
||||
text-align: center;
|
||||
font-size: 0.9em;
|
||||
font-weight: 600;
|
||||
color: var(--text-color);
|
||||
font-size: 0.85em;
|
||||
font-weight: 700;
|
||||
color: var(--lora-accent);
|
||||
font-variant-numeric: tabular-nums;
|
||||
background: var(--surface-subtle);
|
||||
padding: 2px 8px;
|
||||
border-radius: var(--border-radius-xs);
|
||||
letter-spacing: 0.02em;
|
||||
}
|
||||
|
||||
[data-theme="dark"] .range-control input[type="range"] {
|
||||
background: linear-gradient(
|
||||
to right,
|
||||
var(--lora-accent) 0%,
|
||||
var(--lora-accent) var(--range-fill),
|
||||
rgba(255, 255, 255, 0.15) var(--range-fill),
|
||||
rgba(255, 255, 255, 0.15) 100%
|
||||
);
|
||||
}
|
||||
|
||||
[data-theme="dark"] .range-control input[type="range"]::-moz-range-track {
|
||||
background: rgba(255, 255, 255, 0.15);
|
||||
}
|
||||
|
||||
|
||||
@@ -9,6 +9,10 @@
|
||||
position: relative;
|
||||
}
|
||||
|
||||
#recipeTagsContainer {
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.recipe-modal-header h2 {
|
||||
margin: 0 0 var(--space-1);
|
||||
padding: var(--space-1);
|
||||
@@ -95,127 +99,11 @@
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.content-editor.tags-editor input {
|
||||
font-size: 0.9em;
|
||||
}
|
||||
|
||||
/* Remove obsolete button styles */
|
||||
.editor-actions {
|
||||
display: none;
|
||||
}
|
||||
|
||||
/* Special styling for tags content */
|
||||
.tags-content {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
flex-wrap: nowrap;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.tags-display {
|
||||
display: flex;
|
||||
flex-wrap: nowrap;
|
||||
gap: 6px;
|
||||
align-items: center;
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.no-tags {
|
||||
font-size: 0.85em;
|
||||
color: var(--text-color);
|
||||
opacity: 0.6;
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
/* Recipe Tags styles */
|
||||
.recipe-tags-container {
|
||||
position: relative;
|
||||
margin-top: 0;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
|
||||
.recipe-tags-compact {
|
||||
display: flex;
|
||||
flex-wrap: nowrap;
|
||||
gap: 6px;
|
||||
align-items: center;
|
||||
}
|
||||
|
||||
.recipe-tag-compact {
|
||||
background: var(--surface-subtle);
|
||||
border: 1px solid rgba(0, 0, 0, 0.1);
|
||||
border-radius: var(--border-radius-xs);
|
||||
padding: 2px 8px;
|
||||
font-size: 0.75em;
|
||||
color: var(--text-color);
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
[data-theme="dark"] .recipe-tag-compact {
|
||||
background: var(--surface-subtle);
|
||||
border: 1px solid var(--lora-border);
|
||||
}
|
||||
|
||||
.recipe-tag-more {
|
||||
background: var(--lora-accent);
|
||||
color: var(--lora-text);
|
||||
border-radius: var(--border-radius-xs);
|
||||
padding: 2px 8px;
|
||||
font-size: 0.75em;
|
||||
cursor: pointer;
|
||||
white-space: nowrap;
|
||||
font-weight: 500;
|
||||
}
|
||||
|
||||
.recipe-tags-tooltip {
|
||||
position: absolute;
|
||||
top: calc(100% + 8px);
|
||||
left: 0;
|
||||
background: var(--card-bg);
|
||||
border: 1px solid var(--border-color);
|
||||
border-radius: var(--border-radius-sm);
|
||||
box-shadow: var(--shadow-dropdown);
|
||||
padding: 10px 14px;
|
||||
max-width: 400px;
|
||||
z-index: 10;
|
||||
opacity: 0;
|
||||
visibility: hidden;
|
||||
transform: translateY(-4px);
|
||||
transition: var(--transition-base);
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
.recipe-tags-tooltip.visible {
|
||||
opacity: 1;
|
||||
visibility: visible;
|
||||
transform: translateY(0);
|
||||
pointer-events: auto;
|
||||
}
|
||||
|
||||
.tooltip-content {
|
||||
display: flex;
|
||||
flex-wrap: wrap;
|
||||
gap: 6px;
|
||||
max-height: 200px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
.tooltip-tag {
|
||||
background: var(--surface-hover);
|
||||
border: 1px solid rgba(0, 0, 0, 0.1);
|
||||
border-radius: var(--border-radius-xs);
|
||||
padding: 3px 8px;
|
||||
font-size: 0.75em;
|
||||
color: var(--text-color);
|
||||
}
|
||||
|
||||
[data-theme="dark"] .tooltip-tag {
|
||||
background: var(--surface-hover);
|
||||
border: 1px solid var(--lora-border);
|
||||
}
|
||||
|
||||
#recipeModal .modal-content {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
@@ -1153,7 +1041,7 @@
|
||||
max-height: 2.4em;
|
||||
}
|
||||
|
||||
.recipe-tags-container {
|
||||
#recipeTagsContainer {
|
||||
margin-bottom: 6px;
|
||||
}
|
||||
|
||||
|
||||
@@ -114,11 +114,10 @@
|
||||
.sidebar-hidden-indicator {
|
||||
position: fixed;
|
||||
left: 0;
|
||||
top: 50%;
|
||||
transform: translateY(-50%);
|
||||
top: 68px; /* Align with sidebar header */
|
||||
z-index: var(--z-overlay);
|
||||
width: 14px;
|
||||
height: 44px;
|
||||
height: 48px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
@@ -135,7 +134,7 @@
|
||||
}
|
||||
|
||||
.sidebar-hidden-indicator i {
|
||||
font-size: 9px;
|
||||
font-size: 11px;
|
||||
color: var(--text-muted);
|
||||
transition: color 0.15s ease;
|
||||
}
|
||||
@@ -144,6 +143,21 @@
|
||||
color: white;
|
||||
}
|
||||
|
||||
/* Subtle breathing animation for first-time discovery */
|
||||
@keyframes sidebarBreathing {
|
||||
0%, 100% { opacity: 0.3; }
|
||||
50% { opacity: 0.65; }
|
||||
}
|
||||
|
||||
.sidebar-hidden-indicator.breathing {
|
||||
animation: sidebarBreathing 2.5s ease-in-out infinite;
|
||||
animation-delay: 0.5s;
|
||||
}
|
||||
|
||||
.sidebar-hidden-indicator.breathing:hover {
|
||||
animation: none;
|
||||
}
|
||||
|
||||
.sidebar-hidden-indicator-tooltip {
|
||||
position: absolute;
|
||||
left: 100%;
|
||||
|
||||
@@ -264,6 +264,174 @@
|
||||
box-shadow: 0 0 0 2px oklch(var(--lora-accent) / 0.15);
|
||||
}
|
||||
|
||||
/* Disabled sort dropdown — used when VLM custom filter is active */
|
||||
.control-group select:disabled {
|
||||
opacity: 0.5;
|
||||
cursor: not-allowed;
|
||||
background-color: var(--bg-color);
|
||||
border-color: var(--border-color);
|
||||
box-shadow: none;
|
||||
transform: none;
|
||||
}
|
||||
|
||||
.control-group select:disabled:hover {
|
||||
border-color: var(--border-color);
|
||||
background-color: var(--bg-color);
|
||||
transform: none;
|
||||
box-shadow: none;
|
||||
}
|
||||
|
||||
/* === Sort dropdown — decoupled trigger width ===========================
|
||||
The native <select> sizes its trigger to the widest <option>, wasting
|
||||
horizontal space when a short option is selected. This custom trigger
|
||||
sizes to the currently selected text only; the dropdown menu sizes to
|
||||
its content independently. The native <select> is kept in the DOM
|
||||
(visually hidden) so existing JS that reads/writes `.value` / `.disabled`
|
||||
and dynamically adds/removes <option>s keeps working. */
|
||||
|
||||
.sort-dropdown-group {
|
||||
position: relative;
|
||||
display: flex;
|
||||
}
|
||||
|
||||
.sort-trigger {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
min-width: 100px;
|
||||
max-width: 240px;
|
||||
padding: 4px 10px;
|
||||
border-radius: var(--border-radius-xs);
|
||||
border: 1px solid var(--border-color);
|
||||
background: var(--card-bg);
|
||||
color: var(--text-color);
|
||||
font-size: 0.85em;
|
||||
cursor: pointer;
|
||||
transition: var(--transition-base);
|
||||
box-shadow: var(--shadow-xs);
|
||||
}
|
||||
|
||||
.sort-trigger:hover,
|
||||
.sort-trigger:focus-visible {
|
||||
border-color: var(--lora-accent);
|
||||
background: var(--bg-color);
|
||||
transform: translateY(-1px);
|
||||
box-shadow: var(--shadow-lg);
|
||||
outline: none;
|
||||
}
|
||||
|
||||
.sort-trigger:active {
|
||||
transform: translateY(0);
|
||||
box-shadow: var(--shadow-xs);
|
||||
}
|
||||
|
||||
.sort-trigger__label {
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.sort-trigger__caret {
|
||||
opacity: 0.8;
|
||||
transition: transform var(--transition-base);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.sort-dropdown-group.active .sort-trigger__caret {
|
||||
transform: rotate(180deg);
|
||||
}
|
||||
|
||||
.sort-dropdown-group.active .sort-trigger {
|
||||
border-color: var(--lora-accent);
|
||||
box-shadow: 0 0 0 2px color-mix(in oklch, var(--lora-accent) 15%, transparent);
|
||||
}
|
||||
|
||||
/* Disabled state — mirrors the native :disabled look (used when VLM is active) */
|
||||
.sort-dropdown-group.is-disabled .sort-trigger {
|
||||
opacity: 0.5;
|
||||
cursor: not-allowed;
|
||||
pointer-events: none;
|
||||
background: var(--bg-color);
|
||||
border-color: var(--border-color);
|
||||
box-shadow: none;
|
||||
transform: none;
|
||||
}
|
||||
|
||||
/* Dropdown menu — sizes to its content, independent of trigger width.
|
||||
Inherits base .dropdown-menu styling; capped for very long i18n text. */
|
||||
.sort-dropdown-menu {
|
||||
min-width: max-content;
|
||||
max-width: 320px;
|
||||
width: max-content;
|
||||
}
|
||||
|
||||
/* Optgroup label rendered as a section header */
|
||||
.sort-dropdown-group .sort-optgroup-label {
|
||||
padding: 8px 12px 4px;
|
||||
font-size: 0.75em;
|
||||
font-weight: 600;
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.04em;
|
||||
color: var(--text-muted);
|
||||
cursor: default;
|
||||
user-select: none;
|
||||
}
|
||||
|
||||
.sort-dropdown-group .sort-optgroup-label:first-child {
|
||||
padding-top: 4px;
|
||||
}
|
||||
|
||||
/* Option items */
|
||||
.sort-dropdown-group .sort-option {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
padding: 6px 12px;
|
||||
color: var(--text-color);
|
||||
cursor: pointer;
|
||||
transition: background-color 0.2s ease;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.sort-dropdown-group .sort-option::before {
|
||||
content: '';
|
||||
width: 14px;
|
||||
flex-shrink: 0;
|
||||
text-align: center;
|
||||
font-weight: 700;
|
||||
}
|
||||
|
||||
.sort-dropdown-group .sort-option:hover {
|
||||
background-color: color-mix(in oklch, var(--lora-accent) 10%, transparent);
|
||||
}
|
||||
|
||||
.sort-dropdown-group .sort-option.is-selected {
|
||||
color: var(--lora-accent);
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.sort-dropdown-group .sort-option.is-selected::before {
|
||||
content: '\2713';
|
||||
color: var(--lora-accent);
|
||||
}
|
||||
|
||||
/* Visually hidden native <select> — kept in the DOM for programmatic access.
|
||||
High-specificity selector overrides .control-group select { min-width: 100px }. */
|
||||
.control-group .sort-select-native {
|
||||
position: absolute;
|
||||
width: 1px;
|
||||
height: 1px;
|
||||
min-width: 0;
|
||||
padding: 0;
|
||||
margin: -1px;
|
||||
overflow: hidden;
|
||||
clip: rect(0, 0, 0, 0);
|
||||
white-space: nowrap;
|
||||
border: 0;
|
||||
opacity: 0;
|
||||
pointer-events: none;
|
||||
}
|
||||
|
||||
/* Ensure hidden class works properly */
|
||||
.hidden {
|
||||
display: none !important;
|
||||
|
||||
@@ -27,8 +27,8 @@
|
||||
transition: var(--transition-slow);
|
||||
/* Add glow effect */
|
||||
box-shadow:
|
||||
0 0 0 2px rgba(24, 144, 255, 0.3),
|
||||
0 0 20px rgba(24, 144, 255, 0.2),
|
||||
0 0 0 2px color-mix(in oklch, var(--color-accent) 30%, transparent),
|
||||
0 0 20px color-mix(in oklch, var(--color-accent) 20%, transparent),
|
||||
inset 0 0 0 1px rgba(255, 255, 255, 0.1);
|
||||
}
|
||||
|
||||
@@ -221,14 +221,14 @@
|
||||
@keyframes onboarding-pulse {
|
||||
0%, 100% {
|
||||
box-shadow:
|
||||
0 0 0 2px rgba(24, 144, 255, 0.4),
|
||||
0 0 20px rgba(24, 144, 255, 0.3),
|
||||
0 0 0 2px color-mix(in oklch, var(--color-accent) 40%, transparent),
|
||||
0 0 20px color-mix(in oklch, var(--color-accent) 30%, transparent),
|
||||
inset 0 0 0 1px rgba(255, 255, 255, 0.1);
|
||||
}
|
||||
50% {
|
||||
box-shadow:
|
||||
0 0 0 4px rgba(24, 144, 255, 0.6),
|
||||
0 0 30px rgba(24, 144, 255, 0.4),
|
||||
0 0 0 4px color-mix(in oklch, var(--color-accent) 60%, transparent),
|
||||
0 0 30px color-mix(in oklch, var(--color-accent) 40%, transparent),
|
||||
inset 0 0 0 1px rgba(255, 255, 255, 0.2);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -36,7 +36,7 @@
|
||||
@import 'components/initialization.css';
|
||||
@import 'components/progress-panel.css';
|
||||
@import 'components/duplicates.css'; /* Add duplicates component */
|
||||
@import 'components/keyboard-nav.css'; /* Add keyboard navigation component */
|
||||
|
||||
@import 'components/statistics.css'; /* Add statistics component */
|
||||
@import 'components/sidebar.css'; /* Add sidebar component */
|
||||
@import 'components/media-viewer.css';
|
||||
@@ -59,3 +59,5 @@
|
||||
.initialization-notice .loading-spinner {
|
||||
margin-bottom: var(--space-2);
|
||||
}
|
||||
|
||||
/* ---------- reused from shared styles ---------- */
|
||||
|
||||
@@ -37,13 +37,13 @@
|
||||
--color-error-border: color-mix(in oklch, var(--color-error) 50%, transparent);
|
||||
|
||||
--color-info: oklch(var(--color-info-l) var(--color-info-c) var(--color-info-h));
|
||||
--color-info-bg: oklch(72% 0.2 220);
|
||||
--color-info-text: oklch(28% 0.03 220);
|
||||
--color-info-glow: oklch(72% 0.2 220 / 0.28);
|
||||
--color-info-bg: oklch(var(--color-info-l) var(--color-info-c) var(--color-info-h));
|
||||
--color-info-text: oklch(28% 0.03 var(--color-info-h));
|
||||
--color-info-glow: oklch(var(--color-info-l) var(--color-info-c) var(--color-info-h) / 0.28);
|
||||
|
||||
--color-skip-refresh-bg: oklch(82% 0.12 45);
|
||||
--color-skip-refresh-text: oklch(35% 0.02 45);
|
||||
--color-skip-refresh-glow: oklch(82% 0.12 45 / 0.15);
|
||||
--color-skip-refresh-bg: oklch(82% 0.12 var(--color-warning-h));
|
||||
--color-skip-refresh-text: oklch(35% 0.02 var(--color-warning-h));
|
||||
--color-skip-refresh-glow: oklch(82% 0.12 var(--color-warning-h) / 0.15);
|
||||
}
|
||||
|
||||
:root {
|
||||
@@ -106,12 +106,360 @@
|
||||
--status-info-bg: oklch(50% 0.10 190 / 0.25);
|
||||
--status-info-border: oklch(55% 0.12 195 / 0.3);
|
||||
|
||||
--color-info-bg: oklch(62% 0.18 220);
|
||||
--color-info-text: oklch(98% 0.02 240);
|
||||
--color-info-glow: oklch(62% 0.18 220 / 0.4);
|
||||
--color-info-bg: oklch(62% 0.18 var(--color-info-h));
|
||||
--color-info-text: oklch(98% 0.02 var(--color-info-h));
|
||||
--color-info-glow: oklch(62% 0.18 var(--color-info-h) / 0.4);
|
||||
|
||||
--color-error-bg: color-mix(in oklch, var(--color-error) 15%, transparent);
|
||||
--color-error-border: color-mix(in oklch, var(--color-error) 40%, transparent);
|
||||
|
||||
--favorite-color: #ffc107;
|
||||
}
|
||||
|
||||
/* ── Preset: Nord ──────────────────────────────────────────── */
|
||||
|
||||
[data-theme-preset="nord"] {
|
||||
--color-accent-h: 213;
|
||||
--color-accent-c: 0.18;
|
||||
--color-accent-l: 62%;
|
||||
--color-warning-h: 35;
|
||||
--color-warning-c: 0.18;
|
||||
--color-success-h: 130;
|
||||
--color-error-l: 62%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 5;
|
||||
--color-info-h: 195;
|
||||
--color-info-c: 0.18;
|
||||
|
||||
--bg-base: oklch(96% 0.01 240);
|
||||
--bg-elevated: oklch(98% 0.008 240 / 0.95);
|
||||
--bg-hover: oklch(93% 0.02 240);
|
||||
--bg-disabled: oklch(92% 0.01 240);
|
||||
|
||||
--text-primary: oklch(22% 0.03 260);
|
||||
--text-secondary: oklch(48% 0.03 260);
|
||||
--text-inverse: oklch(97% 0.01 240);
|
||||
|
||||
--surface-base: oklch(97% 0.01 240);
|
||||
--surface-elevated: oklch(98% 0.008 240 / 0.95);
|
||||
--surface-hover: oklch(93% 0.02 240);
|
||||
--surface-subtle: oklch(0% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(82% 0.03 240);
|
||||
--border-subtle: oklch(82% 0.03 240 / 0.45);
|
||||
|
||||
--favorite-color: oklch(72% 0.14 85);
|
||||
--favorite-glow: oklch(72% 0.14 85 / 0.5);
|
||||
}
|
||||
|
||||
[data-theme="dark"][data-theme-preset="nord"] {
|
||||
--color-accent-h: 213;
|
||||
--color-accent-c: 0.18;
|
||||
--color-accent-l: 68%;
|
||||
--color-warning-h: 35;
|
||||
--color-warning-c: 0.18;
|
||||
--color-success-h: 130;
|
||||
--color-error-l: 65%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 5;
|
||||
--color-info-h: 195;
|
||||
--color-info-c: 0.18;
|
||||
|
||||
--bg-base: oklch(20% 0.03 260);
|
||||
--bg-elevated: oklch(24% 0.03 260 / 0.98);
|
||||
--bg-hover: oklch(30% 0.03 260);
|
||||
--bg-disabled: oklch(30% 0.02 260);
|
||||
|
||||
--text-primary: oklch(87% 0.02 240);
|
||||
--text-secondary: oklch(68% 0.02 240);
|
||||
--text-inverse: oklch(20% 0.03 260);
|
||||
|
||||
--surface-base: oklch(26% 0.03 260);
|
||||
--surface-elevated: oklch(24% 0.03 260 / 0.98);
|
||||
--surface-hover: oklch(30% 0.03 260);
|
||||
--surface-subtle: oklch(100% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(38% 0.03 260);
|
||||
--border-subtle: oklch(87% 0.02 240 / 0.15);
|
||||
|
||||
--favorite-color: oklch(78% 0.15 85);
|
||||
--favorite-glow: oklch(78% 0.15 85 / 0.5);
|
||||
}
|
||||
|
||||
/* ── Preset: Midnight ───────────────────────────────────────── */
|
||||
|
||||
[data-theme-preset="midnight"] {
|
||||
--color-accent-h: 300;
|
||||
--color-accent-c: 0.15;
|
||||
--color-accent-l: 52%;
|
||||
--color-warning-h: 50;
|
||||
--color-warning-c: 0.18;
|
||||
--color-success-h: 135;
|
||||
--color-error-h: 5;
|
||||
--color-error-l: 62%;
|
||||
--color-error-c: 0.22;
|
||||
--color-info-h: 195;
|
||||
--color-info-c: 0.12;
|
||||
|
||||
--bg-base: oklch(96% 0.01 255);
|
||||
--bg-elevated: oklch(98% 0.008 255 / 0.95);
|
||||
--bg-hover: oklch(93% 0.02 255);
|
||||
--bg-disabled: oklch(92% 0.01 255);
|
||||
|
||||
--text-primary: oklch(22% 0.03 260);
|
||||
--text-secondary: oklch(48% 0.03 260);
|
||||
--text-inverse: oklch(97% 0.01 255);
|
||||
|
||||
--surface-base: oklch(97% 0.01 255);
|
||||
--surface-elevated: oklch(98% 0.008 255 / 0.95);
|
||||
--surface-hover: oklch(93% 0.02 255);
|
||||
--surface-subtle: oklch(0% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(80% 0.03 255);
|
||||
--border-subtle: oklch(80% 0.03 255 / 0.45);
|
||||
|
||||
--favorite-color: oklch(72% 0.16 85);
|
||||
--favorite-glow: oklch(72% 0.16 85 / 0.5);
|
||||
}
|
||||
|
||||
[data-theme="dark"][data-theme-preset="midnight"] {
|
||||
--color-accent-h: 300;
|
||||
--color-accent-c: 0.14;
|
||||
--color-accent-l: 68%;
|
||||
--color-warning-h: 50;
|
||||
--color-warning-c: 0.18;
|
||||
--color-success-h: 135;
|
||||
--color-error-h: 5;
|
||||
--color-error-l: 65%;
|
||||
--color-error-c: 0.22;
|
||||
--color-info-h: 195;
|
||||
--color-info-c: 0.12;
|
||||
|
||||
--bg-base: oklch(18% 0.03 260);
|
||||
--bg-elevated: oklch(22% 0.03 260 / 0.98);
|
||||
--bg-hover: oklch(28% 0.03 260);
|
||||
--bg-disabled: oklch(28% 0.02 260);
|
||||
|
||||
--text-primary: oklch(88% 0.02 255);
|
||||
--text-secondary: oklch(68% 0.02 255);
|
||||
--text-inverse: oklch(18% 0.03 260);
|
||||
|
||||
--surface-base: oklch(24% 0.03 260);
|
||||
--surface-elevated: oklch(22% 0.03 260 / 0.98);
|
||||
--surface-hover: oklch(28% 0.03 260);
|
||||
--surface-subtle: oklch(100% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(36% 0.03 260);
|
||||
--border-subtle: oklch(88% 0.02 255 / 0.15);
|
||||
|
||||
--favorite-color: oklch(78% 0.16 85);
|
||||
--favorite-glow: oklch(78% 0.16 85 / 0.5);
|
||||
}
|
||||
|
||||
/* ── Preset: Monokai ───────────────────────────────────────── */
|
||||
|
||||
[data-theme-preset="monokai"] {
|
||||
--color-accent-h: 190;
|
||||
--color-accent-c: 0.24;
|
||||
--color-accent-l: 72%;
|
||||
--color-warning-h: 50;
|
||||
--color-warning-c: 0.22;
|
||||
--color-success-h: 140;
|
||||
--color-error-l: 60%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 340;
|
||||
--color-info-h: 250;
|
||||
|
||||
--bg-base: oklch(96% 0.01 80);
|
||||
--bg-elevated: oklch(98% 0.005 80 / 0.95);
|
||||
--bg-hover: oklch(93% 0.015 80);
|
||||
--bg-disabled: oklch(92% 0.01 80);
|
||||
|
||||
--text-primary: oklch(20% 0.02 100);
|
||||
--text-secondary: oklch(45% 0.02 100);
|
||||
--text-inverse: oklch(97% 0.01 80);
|
||||
|
||||
--surface-base: oklch(97% 0.008 80);
|
||||
--surface-elevated: oklch(98% 0.005 80 / 0.95);
|
||||
--surface-hover: oklch(93% 0.015 80);
|
||||
--surface-subtle: oklch(0% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(80% 0.02 80);
|
||||
--border-subtle: oklch(80% 0.02 80 / 0.45);
|
||||
|
||||
--favorite-color: oklch(72% 0.16 85);
|
||||
--favorite-glow: oklch(72% 0.16 85 / 0.5);
|
||||
}
|
||||
|
||||
[data-theme="dark"][data-theme-preset="monokai"] {
|
||||
--color-accent-h: 190;
|
||||
--color-accent-c: 0.24;
|
||||
--color-accent-l: 72%;
|
||||
--color-warning-h: 50;
|
||||
--color-warning-c: 0.22;
|
||||
--color-success-h: 140;
|
||||
--color-error-l: 65%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 340;
|
||||
--color-info-h: 250;
|
||||
|
||||
--bg-base: oklch(18% 0.02 100);
|
||||
--bg-elevated: oklch(22% 0.02 100 / 0.98);
|
||||
--bg-hover: oklch(28% 0.025 100);
|
||||
--bg-disabled: oklch(28% 0.015 100);
|
||||
|
||||
--text-primary: oklch(90% 0.02 80);
|
||||
--text-secondary: oklch(70% 0.02 80);
|
||||
--text-inverse: oklch(18% 0.02 100);
|
||||
|
||||
--surface-base: oklch(24% 0.02 100);
|
||||
--surface-elevated: oklch(22% 0.02 100 / 0.98);
|
||||
--surface-hover: oklch(28% 0.025 100);
|
||||
--surface-subtle: oklch(100% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(36% 0.02 100);
|
||||
--border-subtle: oklch(90% 0.02 80 / 0.15);
|
||||
|
||||
--favorite-color: oklch(78% 0.16 85);
|
||||
--favorite-glow: oklch(78% 0.16 85 / 0.5);
|
||||
}
|
||||
|
||||
/* ── Preset: Dracula ───────────────────────────────────────── */
|
||||
|
||||
[data-theme-preset="dracula"] {
|
||||
--color-accent-h: 265;
|
||||
--color-accent-c: 0.24;
|
||||
--color-accent-l: 68%;
|
||||
--color-warning-h: 45;
|
||||
--color-warning-c: 0.22;
|
||||
--color-success-h: 135;
|
||||
--color-error-l: 62%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 350;
|
||||
--color-info-h: 195;
|
||||
|
||||
--bg-base: oklch(96% 0.01 290);
|
||||
--bg-elevated: oklch(98% 0.008 290 / 0.95);
|
||||
--bg-hover: oklch(93% 0.02 290);
|
||||
--bg-disabled: oklch(92% 0.01 290);
|
||||
|
||||
--text-primary: oklch(22% 0.04 290);
|
||||
--text-secondary: oklch(48% 0.04 290);
|
||||
--text-inverse: oklch(97% 0.01 290);
|
||||
|
||||
--surface-base: oklch(97% 0.01 290);
|
||||
--surface-elevated: oklch(98% 0.008 290 / 0.95);
|
||||
--surface-hover: oklch(93% 0.02 290);
|
||||
--surface-subtle: oklch(0% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(80% 0.04 290);
|
||||
--border-subtle: oklch(80% 0.04 290 / 0.45);
|
||||
|
||||
--favorite-color: oklch(72% 0.16 85);
|
||||
--favorite-glow: oklch(72% 0.16 85 / 0.5);
|
||||
}
|
||||
|
||||
[data-theme="dark"][data-theme-preset="dracula"] {
|
||||
--color-accent-h: 265;
|
||||
--color-accent-c: 0.24;
|
||||
--color-accent-l: 72%;
|
||||
--color-warning-h: 45;
|
||||
--color-warning-c: 0.22;
|
||||
--color-success-h: 135;
|
||||
--color-error-l: 65%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 350;
|
||||
--color-info-h: 195;
|
||||
|
||||
--bg-base: oklch(18% 0.04 290);
|
||||
--bg-elevated: oklch(22% 0.04 290 / 0.98);
|
||||
--bg-hover: oklch(28% 0.04 290);
|
||||
--bg-disabled: oklch(28% 0.03 290);
|
||||
|
||||
--text-primary: oklch(90% 0.02 290);
|
||||
--text-secondary: oklch(70% 0.03 290);
|
||||
--text-inverse: oklch(18% 0.04 290);
|
||||
|
||||
--surface-base: oklch(24% 0.04 290);
|
||||
--surface-elevated: oklch(22% 0.04 290 / 0.98);
|
||||
--surface-hover: oklch(28% 0.04 290);
|
||||
--surface-subtle: oklch(100% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(36% 0.04 290);
|
||||
--border-subtle: oklch(90% 0.02 290 / 0.15);
|
||||
|
||||
--favorite-color: oklch(78% 0.16 85);
|
||||
--favorite-glow: oklch(78% 0.16 85 / 0.5);
|
||||
}
|
||||
|
||||
/* ── Preset: Solarized ─────────────────────────────────────── */
|
||||
|
||||
[data-theme-preset="solarized"] {
|
||||
--color-accent-h: 175;
|
||||
--color-accent-c: 0.18;
|
||||
--color-accent-l: 55%;
|
||||
--color-warning-h: 45;
|
||||
--color-warning-c: 0.20;
|
||||
--color-success-h: 68;
|
||||
--color-error-l: 62%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 5;
|
||||
--color-info-h: 220;
|
||||
--color-info-c: 0.16;
|
||||
--color-info-l: 68%;
|
||||
|
||||
--bg-base: oklch(95% 0.03 85);
|
||||
--bg-elevated: oklch(97% 0.025 85 / 0.95);
|
||||
--bg-hover: oklch(91% 0.035 85);
|
||||
--bg-disabled: oklch(90% 0.025 85);
|
||||
|
||||
--text-primary: oklch(30% 0.06 200);
|
||||
--text-secondary: oklch(50% 0.04 200);
|
||||
--text-inverse: oklch(95% 0.03 85);
|
||||
|
||||
--surface-base: oklch(96% 0.025 85);
|
||||
--surface-elevated: oklch(97% 0.025 85 / 0.95);
|
||||
--surface-hover: oklch(91% 0.035 85);
|
||||
--surface-subtle: oklch(0% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(78% 0.04 85);
|
||||
--border-subtle: oklch(78% 0.04 85 / 0.45);
|
||||
|
||||
--favorite-color: oklch(68% 0.16 75);
|
||||
--favorite-glow: oklch(68% 0.16 75 / 0.5);
|
||||
}
|
||||
|
||||
[data-theme="dark"][data-theme-preset="solarized"] {
|
||||
--color-accent-h: 175;
|
||||
--color-accent-c: 0.18;
|
||||
--color-accent-l: 60%;
|
||||
--color-warning-h: 45;
|
||||
--color-warning-c: 0.20;
|
||||
--color-success-h: 68;
|
||||
--color-error-l: 65%;
|
||||
--color-error-c: 0.22;
|
||||
--color-error-h: 5;
|
||||
--color-info-h: 220;
|
||||
--color-info-c: 0.16;
|
||||
--color-info-l: 68%;
|
||||
|
||||
--bg-base: oklch(18% 0.05 200);
|
||||
--bg-elevated: oklch(22% 0.05 200 / 0.98);
|
||||
--bg-hover: oklch(28% 0.05 200);
|
||||
--bg-disabled: oklch(28% 0.04 200);
|
||||
|
||||
--text-primary: oklch(72% 0.03 85);
|
||||
--text-secondary: oklch(62% 0.03 85);
|
||||
--text-inverse: oklch(18% 0.05 200);
|
||||
|
||||
--surface-base: oklch(24% 0.05 200);
|
||||
--surface-elevated: oklch(22% 0.05 200 / 0.98);
|
||||
--surface-hover: oklch(28% 0.05 200);
|
||||
--surface-subtle: oklch(100% 0 0 / 0.03);
|
||||
|
||||
--border-base: oklch(36% 0.04 200);
|
||||
--border-subtle: oklch(72% 0.03 85 / 0.15);
|
||||
|
||||
--favorite-color: oklch(72% 0.16 75);
|
||||
--favorite-glow: oklch(72% 0.16 75 / 0.5);
|
||||
}
|
||||
|
||||
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-brush"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M3 21v-4a4 4 0 1 1 4 4h-4" /><path d="M21 3a16 16 0 0 0 -12.8 10.2" /><path d="M21 3a16 16 0 0 1 -10.2 12.8" /><path d="M10.6 9a9 9 0 0 1 4.4 4.4" /></svg>
|
||||
|
After Width: | Height: | Size: 460 B |
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-currency-dollar"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M16.7 8a3 3 0 0 0 -2.7 -2h-4a3 3 0 0 0 0 6h4a3 3 0 0 1 0 6h-4a3 3 0 0 1 -2.7 -2" /><path d="M12 3v3m0 12v3" /></svg>
|
||||
|
After Width: | Height: | Size: 431 B |
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-git-merge"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M5 18a2 2 0 1 0 4 0a2 2 0 1 0 -4 0" /><path d="M5 6a2 2 0 1 0 4 0a2 2 0 1 0 -4 0" /><path d="M15 12a2 2 0 1 0 4 0a2 2 0 1 0 -4 0" /><path d="M7 8l0 8" /><path d="M7 8a4 4 0 0 0 4 4h4" /></svg>
|
||||
|
After Width: | Height: | Size: 501 B |
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-license"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M15 21h-9a3 3 0 0 1 -3 -3v-1h10v2a2 2 0 0 0 4 0v-14a2 2 0 1 1 2 2h-2m2 -4h-11a3 3 0 0 0 -3 3v11" /><path d="M9 7l4 0" /><path d="M9 11l4 0" /></svg>
|
||||
|
After Width: | Height: | Size: 455 B |
@@ -0,0 +1 @@
|
||||
<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="icon icon-tabler icons-tabler-outline icon-tabler-user"><path stroke="none" d="M0 0h24v24H0z" fill="none"/><path d="M8 7a4 4 0 1 0 8 0a4 4 0 0 0 -8 0" /><path d="M6 21v-2a4 4 0 0 1 4 -4h4a4 4 0 0 1 4 4v2" /></svg>
|
||||
|
After Width: | Height: | Size: 401 B |
@@ -1,7 +1,7 @@
|
||||
import { state, getCurrentPageState } from '../state/index.js';
|
||||
import { showToast } from '../utils/uiHelpers.js';
|
||||
import { translate } from '../utils/i18nHelpers.js';
|
||||
import { getStorageItem, getSessionItem, saveMapToStorage } from '../utils/storageHelpers.js';
|
||||
import { getStorageItem, getSessionItem, removeSessionItem, saveMapToStorage } from '../utils/storageHelpers.js';
|
||||
import {
|
||||
getCompleteApiConfig,
|
||||
getCurrentModelType,
|
||||
@@ -115,7 +115,10 @@ export class BaseModelApiClient {
|
||||
const pageState = this.getPageState();
|
||||
|
||||
try {
|
||||
state.loadingManager.showSimpleLoading(`Loading more ${this.apiConfig.config.displayName}s...`);
|
||||
// Use grid-scoped loading instead of full-page overlay
|
||||
if (state.virtualScroller?.showGridLoading) {
|
||||
state.virtualScroller.showGridLoading();
|
||||
}
|
||||
|
||||
pageState.isLoading = true;
|
||||
if (resetPage) {
|
||||
@@ -133,6 +136,16 @@ export class BaseModelApiClient {
|
||||
pageState.hasMore = result.hasMore;
|
||||
pageState.currentPage = pageState.currentPage + 1;
|
||||
|
||||
// When resetting to page 1, scroll back to the top
|
||||
// This covers: folder selection, filter/sort/search changes,
|
||||
// favorites/update/excluded view toggles, alphabet filter, etc.
|
||||
if (resetPage) {
|
||||
const scrollContainer = document.querySelector('.page-content');
|
||||
if (scrollContainer) {
|
||||
scrollContainer.scrollTop = 0;
|
||||
}
|
||||
}
|
||||
|
||||
if (updateFolders) {
|
||||
sidebarManager.refresh();
|
||||
}
|
||||
@@ -144,7 +157,14 @@ export class BaseModelApiClient {
|
||||
throw error;
|
||||
} finally {
|
||||
pageState.isLoading = false;
|
||||
state.loadingManager.hide();
|
||||
// Wait for the next rAF so refreshWithData's scheduleRender has
|
||||
// completed rendering new cards before hiding the grid loading overlay.
|
||||
// This eliminates the ~6.7ms blank-frame gap that caused the flicker.
|
||||
if (state.virtualScroller?.hideGridLoading) {
|
||||
requestAnimationFrame(() => {
|
||||
state.virtualScroller.hideGridLoading();
|
||||
});
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -679,39 +699,34 @@ export class BaseModelApiClient {
|
||||
<div class="modal-content metadata-refresh-result-modal">
|
||||
<button class="close" data-action="close-modal">×</button>
|
||||
|
||||
<h2><i class="fas fa-sync-alt"></i> ${translate('modals.metadataFetchSummary.title', {}, 'Metadata Fetch Summary')}</h2>
|
||||
<h2>${translate('modals.metadataFetchSummary.title', {}, 'Metadata Fetch Summary')}</h2>
|
||||
|
||||
<div class="refresh-summary-stats">
|
||||
<div class="stat-card stat-card-success">
|
||||
<i class="fas fa-check-circle"></i>
|
||||
<div class="stat-card-body">
|
||||
<span class="stat-card-label">${translate('modals.metadataFetchSummary.statSuccess', {}, 'Success')}</span>
|
||||
<span class="stat-card-value">${success}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div class="stat-card stat-card-failure">
|
||||
<i class="fas fa-times-circle"></i>
|
||||
<div class="stat-card-body">
|
||||
<span class="stat-card-label">${translate('modals.metadataFetchSummary.statFailed', {}, 'Failed')}</span>
|
||||
<span class="stat-card-value">${failure_count}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div class="stat-card stat-card-skipped">
|
||||
<i class="fas fa-forward"></i>
|
||||
<div class="stat-card-body">
|
||||
<span class="stat-card-label">${translate('modals.metadataFetchSummary.statSkipped', {}, 'Skipped')}</span>
|
||||
<span class="stat-card-value">${skipped_count}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div class="stat-card stat-card-total">
|
||||
<i class="fas fa-database"></i>
|
||||
<div class="stat-card-body">
|
||||
<span class="stat-card-label">${translate('modals.metadataFetchSummary.statTotal', {}, 'Total Scanned')}</span>
|
||||
<span class="stat-card-value">${total || processed}</span>
|
||||
</div>
|
||||
</div>
|
||||
<div class="stat-card stat-card-time">
|
||||
<i class="fas fa-clock"></i>
|
||||
<div class="stat-card-body">
|
||||
<span class="stat-card-label">${translate('modals.metadataFetchSummary.statDuration', {}, 'Duration')}</span>
|
||||
<span class="stat-card-value">${elapsed_seconds}s</span>
|
||||
@@ -1266,6 +1281,12 @@ export class BaseModelApiClient {
|
||||
|
||||
params.append('recursive', pageState.searchOptions.recursive ? 'true' : 'false');
|
||||
|
||||
// Pass group-by-model mode to backend (skip when showing all versions of a specific model)
|
||||
const vlmModelId = getSessionItem('vlm_model_id');
|
||||
if (state.global.settings.group_by_model && !vlmModelId) {
|
||||
params.append('group_by_model', 'true');
|
||||
}
|
||||
|
||||
if (!isExcludedView && pageState.filters) {
|
||||
if (pageState.filters.tags && Object.keys(pageState.filters.tags).length > 0) {
|
||||
Object.entries(pageState.filters.tags).forEach(([tag, state]) => {
|
||||
@@ -1347,6 +1368,24 @@ export class BaseModelApiClient {
|
||||
}
|
||||
|
||||
_addModelSpecificParams(params, pageState) {
|
||||
// Check for View Local Versions filter (takes priority over recipe filters)
|
||||
const vlmModelId = getSessionItem('vlm_model_id');
|
||||
const vlmPageType = getSessionItem('vlm_page_type');
|
||||
if (vlmModelId && vlmPageType === this.modelType) {
|
||||
params.append('civitai_model_id', vlmModelId);
|
||||
const vlmBaseModel = getSessionItem('vlm_base_model');
|
||||
if (vlmBaseModel) {
|
||||
params.append('base_model', vlmBaseModel);
|
||||
}
|
||||
return;
|
||||
} else if (vlmModelId && vlmPageType !== this.modelType) {
|
||||
// Stale VLM data from a different page type — clean up
|
||||
removeSessionItem('vlm_model_id');
|
||||
removeSessionItem('vlm_model_name');
|
||||
removeSessionItem('vlm_base_model');
|
||||
removeSessionItem('vlm_page_type');
|
||||
}
|
||||
|
||||
if (this.modelType === 'loras') {
|
||||
const filterLoraHash = getSessionItem('recipe_to_lora_filterLoraHash');
|
||||
const filterLoraHashes = getSessionItem('recipe_to_lora_filterLoraHashes');
|
||||
|
||||
@@ -9,6 +9,13 @@ export class LoraApiClient extends BaseModelApiClient {
|
||||
* Add LoRA-specific parameters to query
|
||||
*/
|
||||
_addModelSpecificParams(params, pageState) {
|
||||
// Let parent handle View Local Versions filter first
|
||||
super._addModelSpecificParams(params, pageState);
|
||||
// If VLM filter was applied, skip recipe-specific filters
|
||||
if (params.has('civitai_model_id')) {
|
||||
return;
|
||||
}
|
||||
|
||||
const filterLoraHash = getSessionItem('recipe_to_lora_filterLoraHash');
|
||||
const filterLoraHashes = getSessionItem('recipe_to_lora_filterLoraHashes');
|
||||
|
||||
|
||||
@@ -24,6 +24,14 @@ export class GlobalContextMenu extends BaseContextMenu {
|
||||
const cleanupExamplesItem = this.menu.querySelector('[data-action="cleanup-example-images-folders"]');
|
||||
const excludedModelsItem = this.menu.querySelector('[data-action="manage-excluded-models"]');
|
||||
const repairRecipesItem = this.menu.querySelector('[data-action="repair-recipes"]');
|
||||
const groupByModelItem = this.menu.querySelector('[data-action="toggle-group-by-model"]');
|
||||
const groupByModelCheck = groupByModelItem?.querySelector('.check-indicator');
|
||||
|
||||
// Update check indicator for group-by-model
|
||||
if (groupByModelCheck) {
|
||||
const isEnabled = !!state.global.settings.group_by_model;
|
||||
groupByModelCheck.style.display = isEnabled ? 'block' : 'none';
|
||||
}
|
||||
|
||||
if (isRecipesPage) {
|
||||
modelUpdateItem?.classList.add('hidden');
|
||||
@@ -31,6 +39,7 @@ export class GlobalContextMenu extends BaseContextMenu {
|
||||
downloadExamplesItem?.classList.add('hidden');
|
||||
cleanupExamplesItem?.classList.add('hidden');
|
||||
excludedModelsItem?.classList.add('hidden');
|
||||
groupByModelItem?.classList.add('hidden');
|
||||
repairRecipesItem?.classList.remove('hidden');
|
||||
} else {
|
||||
modelUpdateItem?.classList.remove('hidden');
|
||||
@@ -38,6 +47,7 @@ export class GlobalContextMenu extends BaseContextMenu {
|
||||
downloadExamplesItem?.classList.remove('hidden');
|
||||
cleanupExamplesItem?.classList.remove('hidden');
|
||||
excludedModelsItem?.classList.remove('hidden');
|
||||
groupByModelItem?.classList.remove('hidden');
|
||||
repairRecipesItem?.classList.add('hidden');
|
||||
}
|
||||
|
||||
@@ -74,6 +84,9 @@ export class GlobalContextMenu extends BaseContextMenu {
|
||||
case 'manage-excluded-models':
|
||||
this.manageExcludedModels();
|
||||
break;
|
||||
case 'toggle-group-by-model':
|
||||
this.toggleGroupByModel();
|
||||
break;
|
||||
default:
|
||||
console.warn(`Unhandled global context menu action: ${action}`);
|
||||
break;
|
||||
@@ -86,6 +99,30 @@ export class GlobalContextMenu extends BaseContextMenu {
|
||||
});
|
||||
}
|
||||
|
||||
toggleGroupByModel() {
|
||||
const sm = window.settingsManager;
|
||||
if (!sm) {
|
||||
console.error('settingsManager not available on window');
|
||||
return;
|
||||
}
|
||||
const newValue = !state.global.settings.group_by_model;
|
||||
state.global.settings.group_by_model = newValue;
|
||||
|
||||
// Save/restore sort preference when toggling group_by_model
|
||||
if (window.pageControls?.onGroupByModelToggled) {
|
||||
window.pageControls.onGroupByModelToggled(newValue);
|
||||
}
|
||||
|
||||
sm.saveSetting('group_by_model', newValue).catch((error) => {
|
||||
console.error('Failed to save group_by_model setting:', error);
|
||||
// Revert state on failure
|
||||
state.global.settings.group_by_model = !newValue;
|
||||
});
|
||||
|
||||
sm.applyFrontendSettings();
|
||||
sm.reloadContent();
|
||||
}
|
||||
|
||||
async downloadExampleImages(menuItem) {
|
||||
const downloadPath = state?.global?.settings?.example_images_path;
|
||||
if (!downloadPath) {
|
||||
|
||||
+139
-57
@@ -1,9 +1,9 @@
|
||||
import { updateService } from '../managers/UpdateService.js';
|
||||
import { toggleTheme } from '../utils/uiHelpers.js';
|
||||
import { toggleTheme, setPreset, CYCLE_ORDER, PRESET_NAMES } from '../utils/uiHelpers.js';
|
||||
import { SearchManager } from '../managers/SearchManager.js';
|
||||
import { FilterManager } from '../managers/FilterManager.js';
|
||||
import { initPageState } from '../state/index.js';
|
||||
import { getStorageItem } from '../utils/storageHelpers.js';
|
||||
import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
|
||||
import { updateElementAttribute } from '../utils/i18nHelpers.js';
|
||||
import { renderSupporters } from '../services/supportersService.js';
|
||||
|
||||
@@ -47,25 +47,8 @@ export class HeaderManager {
|
||||
}
|
||||
|
||||
initializeCommonElements() {
|
||||
// Handle theme toggle
|
||||
const themeToggle = document.querySelector('.theme-toggle');
|
||||
if (themeToggle) {
|
||||
const currentTheme = getStorageItem('theme') || 'auto';
|
||||
themeToggle.classList.add(`theme-${currentTheme}`);
|
||||
this.initializeThemePopover();
|
||||
|
||||
// Use i18nHelpers to update themeToggle's title
|
||||
this.updateThemeTooltip(themeToggle, currentTheme);
|
||||
|
||||
themeToggle.addEventListener('click', async () => {
|
||||
if (typeof toggleTheme === 'function') {
|
||||
const newTheme = toggleTheme();
|
||||
// Use i18nHelpers to update themeToggle's title
|
||||
this.updateThemeTooltip(themeToggle, newTheme);
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// Handle settings toggle
|
||||
const settingsToggle = document.querySelector('.settings-toggle');
|
||||
if (settingsToggle) {
|
||||
settingsToggle.addEventListener('click', () => {
|
||||
@@ -74,22 +57,19 @@ export class HeaderManager {
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// Handle update toggle
|
||||
|
||||
const updateToggle = document.getElementById('updateToggleBtn');
|
||||
if (updateToggle) {
|
||||
updateToggle.addEventListener('click', () => {
|
||||
updateService.toggleUpdateModal();
|
||||
});
|
||||
}
|
||||
|
||||
// Handle support toggle
|
||||
|
||||
const supportToggle = document.getElementById('supportToggleBtn');
|
||||
if (supportToggle) {
|
||||
supportToggle.addEventListener('click', async () => {
|
||||
if (window.modalManager) {
|
||||
window.modalManager.toggleModal('supportModal');
|
||||
// Load supporters data when modal opens
|
||||
try {
|
||||
await renderSupporters();
|
||||
} catch (error) {
|
||||
@@ -99,41 +79,144 @@ export class HeaderManager {
|
||||
});
|
||||
}
|
||||
|
||||
// Handle QR code toggle
|
||||
const qrToggle = document.getElementById('toggleQRCode');
|
||||
const qrContainer = document.getElementById('qrCodeContainer');
|
||||
|
||||
if (qrToggle && qrContainer) {
|
||||
qrToggle.addEventListener('click', function() {
|
||||
qrContainer.classList.toggle('show');
|
||||
qrToggle.classList.toggle('active');
|
||||
|
||||
const toggleText = qrToggle.querySelector('.toggle-text');
|
||||
if (qrContainer.classList.contains('show')) {
|
||||
toggleText.textContent = 'Hide WeChat QR Code';
|
||||
// Add small delay to ensure DOM is updated before scrolling
|
||||
setTimeout(() => {
|
||||
const supportModal = document.querySelector('.support-modal');
|
||||
if (supportModal) {
|
||||
supportModal.scrollTo({
|
||||
top: supportModal.scrollHeight,
|
||||
behavior: 'smooth'
|
||||
});
|
||||
}
|
||||
}, 250);
|
||||
} else {
|
||||
toggleText.textContent = 'Show WeChat QR Code';
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
// Hide search functionality on Statistics page
|
||||
this.updateHeaderForPage();
|
||||
|
||||
// Initialize hamburger menu for mobile
|
||||
if (qrToggle && qrContainer) {
|
||||
qrToggle.addEventListener('click', function () {
|
||||
qrContainer.classList.toggle('show');
|
||||
qrToggle.classList.toggle('active');
|
||||
|
||||
const toggleText = qrToggle.querySelector('.toggle-text');
|
||||
if (qrContainer.classList.contains('show')) {
|
||||
toggleText.textContent = 'Hide WeChat QR Code';
|
||||
setTimeout(() => {
|
||||
const supportModal = document.querySelector('.support-modal');
|
||||
if (supportModal) {
|
||||
supportModal.scrollTo({
|
||||
top: supportModal.scrollHeight,
|
||||
behavior: 'smooth'
|
||||
});
|
||||
}
|
||||
}, 250);
|
||||
} else {
|
||||
toggleText.textContent = 'Show WeChat QR Code';
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
this.updateHeaderForPage();
|
||||
this.initializeHamburgerMenu();
|
||||
}
|
||||
|
||||
initializeThemePopover() {
|
||||
const themeToggle = document.querySelector('.theme-toggle');
|
||||
const themePopover = document.getElementById('themePopover');
|
||||
if (!themeToggle || !themePopover) return;
|
||||
|
||||
const currentTheme = getStorageItem('theme') || 'auto';
|
||||
const currentPreset = getStorageItem('theme_preset') || 'default';
|
||||
themeToggle.classList.add(`theme-${currentTheme}`);
|
||||
this.updateThemeTooltip(themeToggle, currentTheme);
|
||||
this.updatePopoverActiveStates(currentTheme, currentPreset);
|
||||
|
||||
themeToggle.addEventListener('click', (e) => {
|
||||
e.stopPropagation();
|
||||
const isOpen = themePopover.classList.contains('active');
|
||||
this.closeAllPopovers();
|
||||
if (!isOpen) {
|
||||
this.positionThemePopover();
|
||||
themePopover.classList.add('active');
|
||||
}
|
||||
});
|
||||
|
||||
themePopover.addEventListener('click', (e) => {
|
||||
e.stopPropagation();
|
||||
const modeBtn = e.target.closest('.theme-mode-btn');
|
||||
const presetBtn = e.target.closest('.theme-preset-btn');
|
||||
|
||||
if (modeBtn) {
|
||||
const mode = modeBtn.dataset.mode;
|
||||
this.setThemeMode(mode);
|
||||
} else if (presetBtn) {
|
||||
const preset = presetBtn.dataset.preset;
|
||||
this.setThemePreset(preset);
|
||||
}
|
||||
});
|
||||
|
||||
document.addEventListener('click', (e) => {
|
||||
if (!themeToggle.contains(e.target) && !themePopover.contains(e.target)) {
|
||||
themePopover.classList.remove('active');
|
||||
}
|
||||
});
|
||||
|
||||
// Reposition on resize while popover is active
|
||||
window.addEventListener('resize', () => {
|
||||
if (themePopover.classList.contains('active')) {
|
||||
this.positionThemePopover();
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
closeAllPopovers() {
|
||||
const themePopover = document.getElementById('themePopover');
|
||||
if (themePopover) {
|
||||
themePopover.classList.remove('active');
|
||||
}
|
||||
}
|
||||
|
||||
positionThemePopover() {
|
||||
const themeToggle = document.querySelector('.theme-toggle');
|
||||
const themePopover = document.getElementById('themePopover');
|
||||
if (!themeToggle || !themePopover) return;
|
||||
const rect = themeToggle.getBoundingClientRect();
|
||||
// Guard: toggle may be hidden on narrow viewports (≤950px CSS hides .header-controls)
|
||||
if (rect.width === 0 || rect.height === 0) return;
|
||||
themePopover.style.top = (rect.bottom + 8) + 'px';
|
||||
themePopover.style.right = (window.innerWidth - rect.right - 8) + 'px';
|
||||
}
|
||||
|
||||
setThemeMode(mode) {
|
||||
setStorageItem('theme', mode);
|
||||
const htmlElement = document.documentElement;
|
||||
const prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches;
|
||||
htmlElement.removeAttribute('data-theme');
|
||||
if (mode === 'dark' || (mode === 'auto' && prefersDark)) {
|
||||
htmlElement.setAttribute('data-theme', 'dark');
|
||||
document.body.dataset.theme = 'dark';
|
||||
} else {
|
||||
htmlElement.setAttribute('data-theme', 'light');
|
||||
document.body.dataset.theme = 'light';
|
||||
}
|
||||
const themeToggle = document.querySelector('.theme-toggle');
|
||||
if (themeToggle) {
|
||||
themeToggle.classList.remove('theme-light', 'theme-dark', 'theme-auto');
|
||||
themeToggle.classList.add(`theme-${mode}`);
|
||||
this.updateThemeTooltip(themeToggle, mode);
|
||||
}
|
||||
this.updateHamburgerThemeIcon();
|
||||
this.updatePopoverActiveStates(mode, getStorageItem('theme_preset') || 'default');
|
||||
}
|
||||
|
||||
setThemePreset(preset) {
|
||||
setPreset(preset);
|
||||
this.updatePopoverActiveStates(getStorageItem('theme') || 'auto', preset);
|
||||
this.updateHamburgerThemeIcon();
|
||||
}
|
||||
|
||||
updatePopoverActiveStates(theme, preset) {
|
||||
const popover = document.getElementById('themePopover');
|
||||
if (!popover) return;
|
||||
|
||||
popover.querySelectorAll('.theme-mode-btn').forEach(btn => {
|
||||
btn.classList.toggle('active', btn.dataset.mode === theme);
|
||||
});
|
||||
|
||||
popover.querySelectorAll('.theme-preset-btn').forEach(btn => {
|
||||
btn.classList.toggle('active', btn.dataset.preset === preset);
|
||||
});
|
||||
}
|
||||
|
||||
initializeHamburgerMenu() {
|
||||
const hamburgerBtn = document.getElementById('hamburgerMenuBtn');
|
||||
const hamburgerDropdown = document.getElementById('hamburgerDropdown');
|
||||
@@ -188,7 +271,6 @@ export class HeaderManager {
|
||||
case 'theme':
|
||||
if (typeof toggleTheme === 'function') {
|
||||
const newTheme = toggleTheme();
|
||||
// Update theme toggle in header if it exists
|
||||
const themeToggle = document.querySelector('.theme-toggle');
|
||||
if (themeToggle) {
|
||||
themeToggle.classList.remove('theme-light', 'theme-dark', 'theme-auto');
|
||||
@@ -196,6 +278,7 @@ export class HeaderManager {
|
||||
this.updateThemeTooltip(themeToggle, newTheme);
|
||||
}
|
||||
this.updateHamburgerThemeIcon();
|
||||
this.updatePopoverActiveStates(newTheme, getStorageItem('theme_preset') || 'default');
|
||||
}
|
||||
break;
|
||||
case 'settings':
|
||||
@@ -255,7 +338,6 @@ export class HeaderManager {
|
||||
const headerSearch = document.getElementById('headerSearch');
|
||||
const searchInput = headerSearch?.querySelector('#searchInput');
|
||||
const searchButtons = headerSearch?.querySelectorAll('button');
|
||||
const placeholderKey = 'header.search.placeholders.' + this.currentPage;
|
||||
|
||||
if (this.currentPage === 'statistics' && headerSearch) {
|
||||
headerSearch.classList.add('disabled');
|
||||
@@ -270,7 +352,7 @@ export class HeaderManager {
|
||||
if (searchInput) {
|
||||
searchInput.disabled = false;
|
||||
// Use i18nHelpers to update placeholder
|
||||
updateElementAttribute(searchInput, 'placeholder', placeholderKey, {}, '');
|
||||
updateElementAttribute(searchInput, 'placeholder', 'header.search.placeholder', {}, '');
|
||||
}
|
||||
searchButtons?.forEach(btn => btn.disabled = false);
|
||||
}
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
// Recipe Modal Component
|
||||
import { showToast, copyToClipboard, sendLoraToWorkflow, sendModelPathToWorkflow, openCivitaiByMetadata } from '../utils/uiHelpers.js';
|
||||
import { showToast, copyToClipboard, sendLoraToWorkflow, sendModelPathToWorkflow, openCivitaiByMetadata, stripLoraTags, sendPromptToWorkflow, sendGenParamsToWorkflow } from '../utils/uiHelpers.js';
|
||||
import { translate } from '../utils/i18nHelpers.js';
|
||||
import { state } from '../state/index.js';
|
||||
import { setSessionItem, removeSessionItem, getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
|
||||
@@ -7,6 +7,8 @@ import { fetchRecipeDetails, updateRecipeMetadata } from '../api/recipeApi.js';
|
||||
import { downloadManager } from '../managers/DownloadManager.js';
|
||||
import { MODEL_TYPES } from '../api/apiConfig.js';
|
||||
import { openMediaViewer } from './shared/MediaViewer.js';
|
||||
import { renderCompactTags, setupTagTooltip } from './shared/utils.js';
|
||||
import { setupTagEditMode } from './shared/ModelTags.js';
|
||||
|
||||
const ALLOWED_GEN_PARAM_KEYS = new Set([
|
||||
'prompt',
|
||||
@@ -38,6 +40,16 @@ const GEN_PARAM_NORMALIZATION = {
|
||||
'Denoising strength': 'denoising_strength',
|
||||
};
|
||||
|
||||
const PARAM_DISPLAY_NAMES = {
|
||||
steps: 'Steps',
|
||||
sampler: 'Sampler',
|
||||
cfg_scale: 'CFG',
|
||||
seed: 'Seed',
|
||||
size: 'Size',
|
||||
clip_skip: 'Clip Skip',
|
||||
denoising_strength: 'Denoising Strength',
|
||||
};
|
||||
|
||||
class RecipeModal {
|
||||
constructor() {
|
||||
this.promptEditorState = {};
|
||||
@@ -139,14 +151,6 @@ class RecipeModal {
|
||||
this.saveTitleEdit();
|
||||
}
|
||||
|
||||
// Handle tags edit
|
||||
const tagsEditor = document.getElementById('recipeTagsEditor');
|
||||
if (tagsEditor && tagsEditor.classList.contains('active') &&
|
||||
!tagsEditor.contains(event.target) &&
|
||||
!event.target.closest('.edit-icon')) {
|
||||
this.saveTagsEdit();
|
||||
}
|
||||
|
||||
// Handle reconnect input
|
||||
const reconnectContainers = document.querySelectorAll('.lora-reconnect-container');
|
||||
reconnectContainers.forEach(container => {
|
||||
@@ -236,98 +240,10 @@ class RecipeModal {
|
||||
this.filePath = hydratedRecipe.file_path;
|
||||
this.listFilePath = hydratedRecipe.file_path;
|
||||
|
||||
// Set recipe tags if they exist
|
||||
const tagsCompactElement = document.getElementById('recipeTagsCompact');
|
||||
const tagsTooltipContent = document.getElementById('recipeTagsTooltipContent');
|
||||
|
||||
if (tagsCompactElement) {
|
||||
// Add tags container with edit functionality
|
||||
tagsCompactElement.innerHTML = `
|
||||
<div class="editable-content tags-content">
|
||||
<div class="tags-display"></div>
|
||||
<button class="edit-icon" title="Edit tags"><i class="fas fa-pencil-alt"></i></button>
|
||||
</div>
|
||||
<div id="recipeTagsEditor" class="content-editor tags-editor">
|
||||
<input type="text" class="tags-input" placeholder="Enter tags separated by commas">
|
||||
</div>
|
||||
`;
|
||||
|
||||
const tagsDisplay = tagsCompactElement.querySelector('.tags-display');
|
||||
|
||||
if (hydratedRecipe.tags && hydratedRecipe.tags.length > 0) {
|
||||
// Limit displayed tags to 5, show a "+X more" button if needed
|
||||
const maxVisibleTags = 5;
|
||||
const visibleTags = hydratedRecipe.tags.slice(0, maxVisibleTags);
|
||||
const remainingTags = hydratedRecipe.tags.length > maxVisibleTags ? hydratedRecipe.tags.slice(maxVisibleTags) : [];
|
||||
|
||||
// Add visible tags
|
||||
visibleTags.forEach(tag => {
|
||||
const tagElement = document.createElement('div');
|
||||
tagElement.className = 'recipe-tag-compact';
|
||||
tagElement.textContent = tag;
|
||||
tagsDisplay.appendChild(tagElement);
|
||||
});
|
||||
|
||||
// Add "more" button if needed
|
||||
if (remainingTags.length > 0) {
|
||||
const moreButton = document.createElement('div');
|
||||
moreButton.className = 'recipe-tag-more';
|
||||
moreButton.textContent = `+${remainingTags.length} more`;
|
||||
tagsDisplay.appendChild(moreButton);
|
||||
|
||||
// Add tooltip functionality
|
||||
moreButton.addEventListener('mouseenter', () => {
|
||||
document.getElementById('recipeTagsTooltip').classList.add('visible');
|
||||
});
|
||||
|
||||
moreButton.addEventListener('mouseleave', () => {
|
||||
setTimeout(() => {
|
||||
if (!document.getElementById('recipeTagsTooltip').matches(':hover')) {
|
||||
document.getElementById('recipeTagsTooltip').classList.remove('visible');
|
||||
}
|
||||
}, 300);
|
||||
});
|
||||
|
||||
document.getElementById('recipeTagsTooltip').addEventListener('mouseleave', () => {
|
||||
document.getElementById('recipeTagsTooltip').classList.remove('visible');
|
||||
});
|
||||
|
||||
// Add all tags to tooltip
|
||||
if (tagsTooltipContent) {
|
||||
tagsTooltipContent.innerHTML = '';
|
||||
hydratedRecipe.tags.forEach(tag => {
|
||||
const tooltipTag = document.createElement('div');
|
||||
tooltipTag.className = 'tooltip-tag';
|
||||
tooltipTag.textContent = tag;
|
||||
tagsTooltipContent.appendChild(tooltipTag);
|
||||
});
|
||||
}
|
||||
}
|
||||
} else {
|
||||
tagsDisplay.innerHTML = '<div class="no-tags">No tags</div>';
|
||||
}
|
||||
|
||||
// Add event listeners for tags editing
|
||||
const editTagsIcon = tagsCompactElement.querySelector('.edit-icon');
|
||||
const tagsInput = tagsCompactElement.querySelector('.tags-input');
|
||||
|
||||
// Set current tags in the input
|
||||
if (hydratedRecipe.tags && hydratedRecipe.tags.length > 0) {
|
||||
tagsInput.value = hydratedRecipe.tags.join(', ');
|
||||
}
|
||||
|
||||
editTagsIcon.addEventListener('click', () => this.showTagsEditor());
|
||||
|
||||
// Add key event listener for Enter key
|
||||
tagsInput.addEventListener('keydown', (e) => {
|
||||
if (e.key === 'Enter') {
|
||||
e.preventDefault();
|
||||
this.saveTagsEdit();
|
||||
} else if (e.key === 'Escape') {
|
||||
e.preventDefault();
|
||||
this.cancelTagsEdit();
|
||||
}
|
||||
});
|
||||
// Render tags using shared utility
|
||||
const tagsContainer = document.getElementById('recipeTagsContainer');
|
||||
if (tagsContainer) {
|
||||
this.updateTagsDisplay(tagsContainer, hydratedRecipe.tags || []);
|
||||
}
|
||||
|
||||
// Set recipe image
|
||||
@@ -609,17 +525,35 @@ class RecipeModal {
|
||||
}
|
||||
|
||||
syncTagsDisplay(tags) {
|
||||
const tagsContainer = document.getElementById('recipeTagsCompact');
|
||||
if (!tagsContainer) {
|
||||
return;
|
||||
}
|
||||
const container = document.getElementById('recipeTagsContainer');
|
||||
if (!container) return;
|
||||
this.updateTagsDisplay(container, tags || []);
|
||||
}
|
||||
|
||||
this.updateTagsDisplay(tagsContainer, tags || []);
|
||||
// Re-render tags display using shared utility, wire edit mode with ModelTags
|
||||
updateTagsDisplay(container, tags) {
|
||||
const filePath = this.filePath || '';
|
||||
|
||||
const tagsInput = tagsContainer.querySelector('.tags-input');
|
||||
if (tagsInput) {
|
||||
tagsInput.value = tags && tags.length > 0 ? tags.join(', ') : '';
|
||||
}
|
||||
container.innerHTML = renderCompactTags(tags, filePath);
|
||||
|
||||
// Setup tooltip for all tags
|
||||
setupTagTooltip(container);
|
||||
|
||||
// Wire edit button using shared tag editing (no suggestions for recipes)
|
||||
setupTagEditMode(null, {
|
||||
container: container,
|
||||
showSuggestions: false,
|
||||
normalizeTag: false,
|
||||
saveHandler: async (filePath, tags) => {
|
||||
await updateRecipeMetadata(filePath, { tags }, this.getMetadataUpdateOptions());
|
||||
},
|
||||
onSaved: (tags) => {
|
||||
this.currentRecipe.tags = tags;
|
||||
this.commitField('tags');
|
||||
const c = document.getElementById('recipeTagsContainer');
|
||||
if (c) this.updateTagsDisplay(c, tags);
|
||||
},
|
||||
});
|
||||
}
|
||||
|
||||
syncPromptField(field, value, placeholder) {
|
||||
@@ -664,10 +598,11 @@ class RecipeModal {
|
||||
|
||||
for (const [key, value] of Object.entries(sanitizedGenParams)) {
|
||||
if (!excludedParams.includes(key) && value !== undefined && value !== null) {
|
||||
const displayName = PARAM_DISPLAY_NAMES[key] || key;
|
||||
const paramTag = document.createElement('div');
|
||||
paramTag.className = 'param-tag';
|
||||
paramTag.innerHTML = `
|
||||
<span class="param-name">${key}:</span>
|
||||
<span class="param-name">${displayName}:</span>
|
||||
<span class="param-value">${value}</span>
|
||||
`;
|
||||
otherParamsElement.appendChild(paramTag);
|
||||
@@ -976,139 +911,6 @@ class RecipeModal {
|
||||
}
|
||||
}
|
||||
|
||||
// Tags editing methods
|
||||
showTagsEditor() {
|
||||
const tagsContainer = document.getElementById('recipeTagsCompact');
|
||||
if (tagsContainer) {
|
||||
tagsContainer.querySelector('.editable-content').classList.add('hide');
|
||||
const editor = tagsContainer.querySelector('#recipeTagsEditor');
|
||||
editor.classList.add('active');
|
||||
const input = editor.querySelector('input');
|
||||
input.oninput = () => this.markFieldDirty('tags');
|
||||
input.focus();
|
||||
}
|
||||
}
|
||||
|
||||
saveTagsEdit() {
|
||||
const tagsContainer = document.getElementById('recipeTagsCompact');
|
||||
if (tagsContainer) {
|
||||
const editor = tagsContainer.querySelector('#recipeTagsEditor');
|
||||
const input = editor.querySelector('input');
|
||||
const tagsText = input.value.trim();
|
||||
|
||||
// Parse tags
|
||||
let newTags = [];
|
||||
if (tagsText) {
|
||||
newTags = tagsText.split(',')
|
||||
.map(tag => tag.trim())
|
||||
.filter(tag => tag.length > 0);
|
||||
}
|
||||
|
||||
// Check if tags changed
|
||||
const oldTags = this.currentRecipe.tags || [];
|
||||
const tagsChanged =
|
||||
newTags.length !== oldTags.length ||
|
||||
newTags.some((tag, index) => tag !== oldTags[index]);
|
||||
|
||||
if (tagsChanged) {
|
||||
// Update the recipe on the server
|
||||
updateRecipeMetadata(this.filePath, { tags: newTags }, this.getMetadataUpdateOptions())
|
||||
.then(data => {
|
||||
// Show success toast
|
||||
showToast('toast.recipes.tagsUpdated', {}, 'success');
|
||||
|
||||
// Update the current recipe object
|
||||
this.currentRecipe.tags = newTags;
|
||||
this.commitField('tags');
|
||||
|
||||
// Update tags in the UI
|
||||
this.updateTagsDisplay(tagsContainer, newTags);
|
||||
})
|
||||
.catch(error => {
|
||||
// Error is handled in the API function
|
||||
this.clearFieldDirty('tags');
|
||||
});
|
||||
} else {
|
||||
this.clearFieldDirty('tags');
|
||||
}
|
||||
|
||||
// Hide editor
|
||||
editor.classList.remove('active');
|
||||
tagsContainer.querySelector('.editable-content').classList.remove('hide');
|
||||
}
|
||||
}
|
||||
|
||||
// Helper method to update tags display
|
||||
updateTagsDisplay(tagsContainer, tags) {
|
||||
const tagsDisplay = tagsContainer.querySelector('.tags-display');
|
||||
tagsDisplay.innerHTML = '';
|
||||
|
||||
if (tags.length > 0) {
|
||||
// Limit displayed tags to 5, show a "+X more" button if needed
|
||||
const maxVisibleTags = 5;
|
||||
const visibleTags = tags.slice(0, maxVisibleTags);
|
||||
const remainingTags = tags.length > maxVisibleTags ? tags.slice(maxVisibleTags) : [];
|
||||
|
||||
// Add visible tags
|
||||
visibleTags.forEach(tag => {
|
||||
const tagElement = document.createElement('div');
|
||||
tagElement.className = 'recipe-tag-compact';
|
||||
tagElement.textContent = tag;
|
||||
tagsDisplay.appendChild(tagElement);
|
||||
});
|
||||
|
||||
// Add "more" button if needed
|
||||
if (remainingTags.length > 0) {
|
||||
const moreButton = document.createElement('div');
|
||||
moreButton.className = 'recipe-tag-more';
|
||||
moreButton.textContent = `+${remainingTags.length} more`;
|
||||
tagsDisplay.appendChild(moreButton);
|
||||
|
||||
// Update tooltip content
|
||||
const tooltipContent = document.getElementById('recipeTagsTooltipContent');
|
||||
if (tooltipContent) {
|
||||
tooltipContent.innerHTML = '';
|
||||
tags.forEach(tag => {
|
||||
const tooltipTag = document.createElement('div');
|
||||
tooltipTag.className = 'tooltip-tag';
|
||||
tooltipTag.textContent = tag;
|
||||
tooltipContent.appendChild(tooltipTag);
|
||||
});
|
||||
}
|
||||
|
||||
// Re-add tooltip functionality
|
||||
moreButton.addEventListener('mouseenter', () => {
|
||||
document.getElementById('recipeTagsTooltip').classList.add('visible');
|
||||
});
|
||||
|
||||
moreButton.addEventListener('mouseleave', () => {
|
||||
setTimeout(() => {
|
||||
if (!document.getElementById('recipeTagsTooltip').matches(':hover')) {
|
||||
document.getElementById('recipeTagsTooltip').classList.remove('visible');
|
||||
}
|
||||
}, 300);
|
||||
});
|
||||
}
|
||||
} else {
|
||||
tagsDisplay.innerHTML = '<div class="no-tags">No tags</div>';
|
||||
}
|
||||
}
|
||||
|
||||
cancelTagsEdit() {
|
||||
const tagsContainer = document.getElementById('recipeTagsCompact');
|
||||
if (tagsContainer) {
|
||||
// Reset input value
|
||||
const editor = tagsContainer.querySelector('#recipeTagsEditor');
|
||||
const input = editor.querySelector('input');
|
||||
input.value = this.currentRecipe.tags ? this.currentRecipe.tags.join(', ') : '';
|
||||
this.clearFieldDirty('tags');
|
||||
|
||||
// Hide editor
|
||||
editor.classList.remove('active');
|
||||
tagsContainer.querySelector('.editable-content').classList.remove('hide');
|
||||
}
|
||||
}
|
||||
|
||||
setupPromptEditors() {
|
||||
const promptConfigs = [
|
||||
{
|
||||
@@ -1409,6 +1211,53 @@ class RecipeModal {
|
||||
this.sendRecipeToWorkflow();
|
||||
});
|
||||
}
|
||||
|
||||
// Send prompt to workflow buttons
|
||||
const sendPromptBtn = document.getElementById('sendPromptBtn');
|
||||
const sendNegativePromptBtn = document.getElementById('sendNegativePromptBtn');
|
||||
|
||||
if (sendPromptBtn) {
|
||||
sendPromptBtn.addEventListener('click', () => {
|
||||
let promptText = this.currentRecipe?.gen_params?.prompt || '';
|
||||
if (this.shouldStripLoraOnCopy()) {
|
||||
promptText = RecipeModal.stripLoraTags(promptText);
|
||||
}
|
||||
if (!promptText.trim()) {
|
||||
showToast('toast.recipes.noPromptToSend', {}, 'warning');
|
||||
return;
|
||||
}
|
||||
sendPromptToWorkflow(promptText);
|
||||
});
|
||||
}
|
||||
|
||||
if (sendNegativePromptBtn) {
|
||||
sendNegativePromptBtn.addEventListener('click', () => {
|
||||
let negativePromptText = this.currentRecipe?.gen_params?.negative_prompt || '';
|
||||
if (this.shouldStripLoraOnCopy()) {
|
||||
negativePromptText = RecipeModal.stripLoraTags(negativePromptText);
|
||||
}
|
||||
if (!negativePromptText.trim()) {
|
||||
showToast('toast.recipes.noPromptToSend', {}, 'warning');
|
||||
return;
|
||||
}
|
||||
sendPromptToWorkflow(negativePromptText, {
|
||||
actionTypeText: 'Negative Prompt',
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
// Send params to workflow button
|
||||
const sendParamsBtn = document.getElementById('sendParamsBtn');
|
||||
if (sendParamsBtn) {
|
||||
sendParamsBtn.addEventListener('click', () => {
|
||||
const genParams = this.currentRecipe?.gen_params || {};
|
||||
if (!genParams || Object.keys(genParams).length === 0) {
|
||||
showToast('No generation parameters available', {}, 'warning');
|
||||
return;
|
||||
}
|
||||
sendGenParamsToWorkflow(genParams);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
@@ -1417,14 +1266,7 @@ class RecipeModal {
|
||||
* Cleans up artifacts like leading ", ", double commas, and extra whitespace.
|
||||
*/
|
||||
static stripLoraTags(text) {
|
||||
return text
|
||||
.replace(/<lora:[^>]*>/gi, '')
|
||||
.replace(/<lora:[^&]*>/gi, '')
|
||||
.replace(/,(\s*,)+/g, ',')
|
||||
.replace(/^,\s*/, '')
|
||||
.replace(/,\s*$/, '')
|
||||
.replace(/\s{2,}/g, ' ')
|
||||
.trim();
|
||||
return stripLoraTags(text);
|
||||
}
|
||||
|
||||
shouldStripLoraOnCopy() {
|
||||
|
||||
@@ -4,7 +4,7 @@
|
||||
import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
|
||||
import { getModelApiClient } from '../api/modelApiFactory.js';
|
||||
import { translate } from '../utils/i18nHelpers.js';
|
||||
import { state } from '../state/index.js';
|
||||
import { state, getCurrentPageState } from '../state/index.js';
|
||||
import { bulkManager } from '../managers/BulkManager.js';
|
||||
import { showToast } from '../utils/uiHelpers.js';
|
||||
import { performFolderUpdateCheck } from '../utils/updateCheckHelpers.js';
|
||||
@@ -457,21 +457,69 @@ export class SidebarManager {
|
||||
|
||||
try {
|
||||
console.log('[SidebarManager] calling apiClient.move, useBulkMove:', useBulkMove);
|
||||
let movedFiles = []; // Array of { original_file_path, new_file_path }
|
||||
|
||||
if (useBulkMove) {
|
||||
await this.apiClient.moveBulkModels(this.draggedFilePaths, destination);
|
||||
const results = await this.apiClient.moveBulkModels(this.draggedFilePaths, destination);
|
||||
movedFiles = (results || [])
|
||||
.filter(r => r.success)
|
||||
.map(r => ({ original_file_path: r.original_file_path, new_file_path: r.new_file_path }));
|
||||
} else {
|
||||
await this.apiClient.moveSingleModel(this.draggedFilePaths[0], destination);
|
||||
const result = await this.apiClient.moveSingleModel(this.draggedFilePaths[0], destination);
|
||||
if (result) {
|
||||
movedFiles.push({
|
||||
original_file_path: result.original_file_path || this.draggedFilePaths[0],
|
||||
new_file_path: result.new_file_path
|
||||
});
|
||||
}
|
||||
}
|
||||
console.log('[SidebarManager] apiClient.move successful');
|
||||
|
||||
if (this.pageControls && typeof this.pageControls.resetAndReload === 'function') {
|
||||
console.log('[SidebarManager] calling resetAndReload');
|
||||
await this.pageControls.resetAndReload(true);
|
||||
} else {
|
||||
console.log('[SidebarManager] calling refresh');
|
||||
await this.refresh();
|
||||
// Update VirtualScroller in-place instead of full reload
|
||||
if (movedFiles.length > 0 && state.virtualScroller) {
|
||||
const pageState = getCurrentPageState();
|
||||
const normalizedActive = (pageState.activeFolder || '').replace(/\\/g, '/').replace(/\/$/, '');
|
||||
const isRecursive = pageState.searchOptions?.recursive ?? true;
|
||||
const isFolderFiltered = pageState.activeFolder !== null;
|
||||
|
||||
const normalizedTarget = targetRelativePath.replace(/\\/g, '/').replace(/\/$/, '');
|
||||
|
||||
// Determine if items in the target folder are visible in the current view
|
||||
let itemsRemainVisible = true;
|
||||
if (isFolderFiltered) {
|
||||
if (isRecursive) {
|
||||
itemsRemainVisible = normalizedActive === '' ||
|
||||
normalizedTarget === normalizedActive ||
|
||||
normalizedTarget.startsWith(normalizedActive + '/');
|
||||
} else {
|
||||
itemsRemainVisible = normalizedTarget === normalizedActive;
|
||||
}
|
||||
}
|
||||
|
||||
if (itemsRemainVisible) {
|
||||
// Items stay visible — update each item's file_path to reflect new location
|
||||
for (const moved of movedFiles) {
|
||||
if (moved.original_file_path && moved.new_file_path) {
|
||||
state.virtualScroller.updateSingleItem(moved.original_file_path, {
|
||||
file_path: moved.new_file_path,
|
||||
folder: normalizedTarget
|
||||
});
|
||||
}
|
||||
}
|
||||
} else {
|
||||
// Items no longer visible in current folder — remove from VirtualScroller
|
||||
const pathsToRemove = movedFiles
|
||||
.map(m => m.original_file_path)
|
||||
.filter(Boolean);
|
||||
if (pathsToRemove.length > 0) {
|
||||
state.virtualScroller.removeMultipleItemsByFilePath(pathsToRemove);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Refresh sidebar folder tree only (no model data reload)
|
||||
await this.refresh();
|
||||
|
||||
if (this.draggedFromBulk && state.bulkMode && typeof bulkManager?.toggleBulkMode === 'function') {
|
||||
bulkManager.toggleBulkMode();
|
||||
}
|
||||
@@ -530,21 +578,69 @@ export class SidebarManager {
|
||||
|
||||
try {
|
||||
console.log('[SidebarManager] calling apiClient.move, useBulkMove:', useBulkMove);
|
||||
let movedFiles = []; // Array of { original_file_path, new_file_path }
|
||||
|
||||
if (useBulkMove) {
|
||||
await this.apiClient.moveBulkModels(draggedFilePaths, destination);
|
||||
const results = await this.apiClient.moveBulkModels(draggedFilePaths, destination);
|
||||
movedFiles = (results || [])
|
||||
.filter(r => r.success)
|
||||
.map(r => ({ original_file_path: r.original_file_path, new_file_path: r.new_file_path }));
|
||||
} else {
|
||||
await this.apiClient.moveSingleModel(draggedFilePaths[0], destination);
|
||||
const result = await this.apiClient.moveSingleModel(draggedFilePaths[0], destination);
|
||||
if (result) {
|
||||
movedFiles.push({
|
||||
original_file_path: result.original_file_path || draggedFilePaths[0],
|
||||
new_file_path: result.new_file_path
|
||||
});
|
||||
}
|
||||
}
|
||||
console.log('[SidebarManager] apiClient.move successful');
|
||||
|
||||
if (this.pageControls && typeof this.pageControls.resetAndReload === 'function') {
|
||||
console.log('[SidebarManager] calling resetAndReload');
|
||||
await this.pageControls.resetAndReload(true);
|
||||
} else {
|
||||
console.log('[SidebarManager] calling refresh');
|
||||
await this.refresh();
|
||||
// Update VirtualScroller in-place instead of full reload
|
||||
if (movedFiles.length > 0 && state.virtualScroller) {
|
||||
const pageState = getCurrentPageState();
|
||||
const normalizedActive = (pageState.activeFolder || '').replace(/\\/g, '/').replace(/\/$/, '');
|
||||
const isRecursive = pageState.searchOptions?.recursive ?? true;
|
||||
const isFolderFiltered = pageState.activeFolder !== null;
|
||||
|
||||
const normalizedTarget = targetRelativePath.replace(/\\/g, '/').replace(/\/$/, '');
|
||||
|
||||
// Determine if items in the target folder are visible in the current view
|
||||
let itemsRemainVisible = true;
|
||||
if (isFolderFiltered) {
|
||||
if (isRecursive) {
|
||||
itemsRemainVisible = normalizedActive === '' ||
|
||||
normalizedTarget === normalizedActive ||
|
||||
normalizedTarget.startsWith(normalizedActive + '/');
|
||||
} else {
|
||||
itemsRemainVisible = normalizedTarget === normalizedActive;
|
||||
}
|
||||
}
|
||||
|
||||
if (itemsRemainVisible) {
|
||||
// Items stay visible — update each item's file_path to reflect new location
|
||||
for (const moved of movedFiles) {
|
||||
if (moved.original_file_path && moved.new_file_path) {
|
||||
state.virtualScroller.updateSingleItem(moved.original_file_path, {
|
||||
file_path: moved.new_file_path,
|
||||
folder: normalizedTarget
|
||||
});
|
||||
}
|
||||
}
|
||||
} else {
|
||||
// Items no longer visible in current folder — remove from VirtualScroller
|
||||
const pathsToRemove = movedFiles
|
||||
.map(m => m.original_file_path)
|
||||
.filter(Boolean);
|
||||
if (pathsToRemove.length > 0) {
|
||||
state.virtualScroller.removeMultipleItemsByFilePath(pathsToRemove);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Refresh sidebar folder tree only (no model data reload)
|
||||
await this.refresh();
|
||||
|
||||
if (draggedFromBulk && state.bulkMode && typeof bulkManager?.toggleBulkMode === 'function') {
|
||||
bulkManager.toggleBulkMode();
|
||||
}
|
||||
@@ -1040,7 +1136,15 @@ export class SidebarManager {
|
||||
<span class="sidebar-hidden-indicator-tooltip">${translate('sidebar.showSidebar')}</span>
|
||||
`;
|
||||
|
||||
// Subtle breathing animation on first sight to aid discoverability;
|
||||
// stops permanently after user clicks the restore button once
|
||||
const restoreKey = `${this.pageType}_restoreButtonUsed`;
|
||||
if (!getStorageItem(restoreKey, false)) {
|
||||
indicator.classList.add('breathing');
|
||||
}
|
||||
|
||||
indicator.addEventListener('click', () => {
|
||||
setStorageItem(restoreKey, true);
|
||||
this.toggleHideOnThisPage();
|
||||
});
|
||||
|
||||
@@ -1338,7 +1442,7 @@ export class SidebarManager {
|
||||
this.pageControls.pageState.activeFolder = normalizedPath;
|
||||
setStorageItem(`${this.pageType}_activeFolder`, normalizedPath);
|
||||
|
||||
// Reload models with new filter
|
||||
// Reload models with new filter (loadMoreWithVirtualScroll will scroll to top)
|
||||
await this.pageControls.resetAndReload();
|
||||
}
|
||||
|
||||
|
||||
@@ -95,6 +95,23 @@ export class CheckpointsControls extends PageControls {
|
||||
* Clear checkpoint custom filter and reload
|
||||
*/
|
||||
async clearCustomFilter() {
|
||||
// Check for View Local Versions filter first
|
||||
const vlmModelId = getSessionItem('vlm_model_id');
|
||||
if (vlmModelId) {
|
||||
removeSessionItem('vlm_model_id');
|
||||
removeSessionItem('vlm_model_name');
|
||||
removeSessionItem('vlm_base_model');
|
||||
removeSessionItem('vlm_page_type');
|
||||
this._restoreSortAfterVlm();
|
||||
// Hide the indicator
|
||||
const indicator = document.getElementById('customFilterIndicator');
|
||||
if (indicator) {
|
||||
indicator.classList.add('hidden');
|
||||
}
|
||||
await resetAndReload();
|
||||
return;
|
||||
}
|
||||
|
||||
removeSessionItem('recipe_to_checkpoint_filterHash');
|
||||
removeSessionItem('recipe_to_checkpoint_filterHashes');
|
||||
removeSessionItem('filterCheckpointRecipeName');
|
||||
@@ -106,14 +123,4 @@ export class CheckpointsControls extends PageControls {
|
||||
|
||||
await resetAndReload();
|
||||
}
|
||||
|
||||
/**
|
||||
* Helper to truncate text with ellipsis
|
||||
* @param {string} text
|
||||
* @param {number} maxLength
|
||||
* @returns {string}
|
||||
*/
|
||||
_truncateText(text, maxLength) {
|
||||
return text.length > maxLength ? `${text.substring(0, maxLength - 3)}...` : text;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -112,6 +112,22 @@ export class LorasControls extends PageControls {
|
||||
* Clear the custom filter and reload the page
|
||||
*/
|
||||
async clearCustomFilter() {
|
||||
// Check for View Local Versions filter first (handles VLM and reloads)
|
||||
const vlmModelId = getSessionItem('vlm_model_id');
|
||||
if (vlmModelId) {
|
||||
removeSessionItem('vlm_model_id');
|
||||
removeSessionItem('vlm_model_name');
|
||||
removeSessionItem('vlm_base_model');
|
||||
removeSessionItem('vlm_page_type');
|
||||
this._restoreSortAfterVlm();
|
||||
const indicator = document.getElementById('customFilterIndicator');
|
||||
if (indicator) {
|
||||
indicator.classList.add('hidden');
|
||||
}
|
||||
await resetAndReload();
|
||||
return;
|
||||
}
|
||||
|
||||
console.log("Clearing custom filter...");
|
||||
// Remove filter parameters from session storage
|
||||
removeSessionItem('recipe_to_lora_filterLoraHash');
|
||||
@@ -134,16 +150,6 @@ export class LorasControls extends PageControls {
|
||||
await resetAndReload();
|
||||
}
|
||||
|
||||
/**
|
||||
* Helper to truncate text with ellipsis
|
||||
* @param {string} text - Text to truncate
|
||||
* @param {number} maxLength - Maximum length before truncating
|
||||
* @returns {string} - Truncated text
|
||||
*/
|
||||
_truncateText(text, maxLength) {
|
||||
return text.length > maxLength ? text.substring(0, maxLength - 3) + '...' : text;
|
||||
}
|
||||
|
||||
/**
|
||||
* Initialize the alphabet bar component
|
||||
*/
|
||||
|
||||
@@ -1,9 +1,10 @@
|
||||
// PageControls.js - Manages controls for both LoRAs and Checkpoints pages
|
||||
import { state, getCurrentPageState, setCurrentPageType } from '../../state/index.js';
|
||||
import { getStorageItem, setStorageItem, getSessionItem, setSessionItem } from '../../utils/storageHelpers.js';
|
||||
import { getStorageItem, setStorageItem, removeStorageItem, getSessionItem, setSessionItem, removeSessionItem } from '../../utils/storageHelpers.js';
|
||||
import { showToast, openCivitaiByMetadata } from '../../utils/uiHelpers.js';
|
||||
import { performModelUpdateCheck } from '../../utils/updateCheckHelpers.js';
|
||||
import { sidebarManager } from '../SidebarManager.js';
|
||||
import { initSortDropdown } from './SortDropdown.js';
|
||||
|
||||
/**
|
||||
* PageControls class - Unified control management for model pages
|
||||
@@ -106,6 +107,7 @@ export class PageControls {
|
||||
// Sort select handler
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (sortSelect) {
|
||||
initSortDropdown(sortSelect);
|
||||
sortSelect.value = this.pageState.sortBy;
|
||||
sortSelect.addEventListener('change', async (e) => {
|
||||
this.pageState.sortBy = e.target.value;
|
||||
@@ -129,6 +131,9 @@ export class PageControls {
|
||||
clearFilterBtn.addEventListener('click', () => this.clearCustomFilter());
|
||||
}
|
||||
|
||||
// Check for View Local Versions filter
|
||||
this.checkVlmFilter();
|
||||
|
||||
// Page-specific event listeners
|
||||
this.initPageSpecificListeners();
|
||||
}
|
||||
@@ -459,15 +464,220 @@ export class PageControls {
|
||||
this.api.toggleBulkMode();
|
||||
}
|
||||
|
||||
/**
|
||||
* Clear custom filter
|
||||
*/
|
||||
/**
|
||||
* Dynamically add the VLM sort option (version_id:desc) to the sort dropdown.
|
||||
* It is not a permanent option — only present while VLM is active.
|
||||
*/
|
||||
_addVlmSortOption() {
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (!sortSelect) return;
|
||||
// Only add if not already present
|
||||
if (sortSelect.querySelector('option[value="version_id:desc"]')) return;
|
||||
const opt = document.createElement('option');
|
||||
opt.value = 'version_id:desc';
|
||||
opt.textContent = this._t('loras.controls.sort.versionIdDesc', 'Newest version first');
|
||||
sortSelect.appendChild(opt);
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove the VLM sort option from the sort dropdown.
|
||||
*/
|
||||
_removeVlmSortOption() {
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (!sortSelect) return;
|
||||
const opt = sortSelect.querySelector('option[value="version_id:desc"]');
|
||||
if (opt) opt.remove();
|
||||
}
|
||||
|
||||
/**
|
||||
* Look up a translation key via the global i18n helper, falling back to
|
||||
* a plain-text default when the key is missing or i18n is unavailable.
|
||||
*/
|
||||
_t(key, fallback) {
|
||||
if (typeof window.i18n?.t === 'function') {
|
||||
return window.i18n.t(key, { defaultValue: fallback });
|
||||
}
|
||||
return fallback;
|
||||
}
|
||||
|
||||
/**
|
||||
* Restore the sort dropdown state after VLM is cleared.
|
||||
* Shared by PageControls.clearCustomFilter() and subclass overrides.
|
||||
*/
|
||||
_restoreSortAfterVlm() {
|
||||
const prevSort = getSessionItem('vlm_prev_sort');
|
||||
removeSessionItem('vlm_prev_sort');
|
||||
const restoredSort = prevSort || 'name:asc';
|
||||
this.pageState.sortBy = restoredSort;
|
||||
this.saveSortPreference(restoredSort);
|
||||
this._removeVlmSortOption();
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (sortSelect) {
|
||||
sortSelect.value = restoredSort;
|
||||
sortSelect.disabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Trigger View Local Versions without page reload
|
||||
* Sets sessionStorage and reloads data via the API.
|
||||
*/
|
||||
triggerVlmView(modelId, modelName, baseModel, pageType) {
|
||||
const targetPageType = pageType || this.pageType;
|
||||
setSessionItem('vlm_model_id', String(modelId));
|
||||
setSessionItem('vlm_model_name', modelName || String(modelId));
|
||||
setSessionItem('vlm_page_type', targetPageType);
|
||||
if (baseModel) {
|
||||
setSessionItem('vlm_base_model', baseModel);
|
||||
} else {
|
||||
removeSessionItem('vlm_base_model');
|
||||
}
|
||||
// Save current sort preference so it can be restored when VLM is cleared
|
||||
setSessionItem('vlm_prev_sort', this.pageState.sortBy);
|
||||
// Inject the temporary sort option and force version_id:desc
|
||||
this._addVlmSortOption();
|
||||
this.pageState.sortBy = 'version_id:desc';
|
||||
this.saveSortPreference('version_id:desc');
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (sortSelect) {
|
||||
sortSelect.value = 'version_id:desc';
|
||||
sortSelect.disabled = true;
|
||||
}
|
||||
// Reload data via API (no page reload)
|
||||
this.resetAndReload(true).then(() => {
|
||||
// Show the VLM indicator after data loads
|
||||
this.checkVlmFilter();
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
* Called when group_by_model is toggled.
|
||||
* Saves current sort when entering grouped mode, restores normal sort
|
||||
* when leaving — prevents "Most versions first" persisting after exit.
|
||||
*/
|
||||
onGroupByModelToggled(isEnabled) {
|
||||
const normalKey = `${this.pageType}_sort_normal`;
|
||||
const groupedKey = `${this.pageType}_sort_grouped`;
|
||||
|
||||
if (isEnabled) {
|
||||
// Entering group mode: save current sort for later restoration
|
||||
setStorageItem(normalKey, this.pageState.sortBy);
|
||||
// Restore previously saved grouped sort, if any
|
||||
const savedGroupedSort = getStorageItem(groupedKey);
|
||||
if (savedGroupedSort) {
|
||||
this.pageState.sortBy = savedGroupedSort;
|
||||
this.saveSortPreference(savedGroupedSort);
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (sortSelect) {
|
||||
sortSelect.value = savedGroupedSort;
|
||||
}
|
||||
}
|
||||
} else {
|
||||
// Leaving group mode: save current grouped sort aside, restore normal
|
||||
const currentSort = this.pageState.sortBy;
|
||||
if (currentSort && currentSort.startsWith('versions_count')) {
|
||||
setStorageItem(groupedKey, currentSort);
|
||||
}
|
||||
const savedNormalSort = getStorageItem(normalKey);
|
||||
if (savedNormalSort) {
|
||||
removeStorageItem(normalKey);
|
||||
this.pageState.sortBy = savedNormalSort;
|
||||
this.saveSortPreference(savedNormalSort);
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (sortSelect) {
|
||||
sortSelect.value = savedNormalSort;
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Check for View Local Versions filter in sessionStorage (page-type-scoped)
|
||||
*/
|
||||
checkVlmFilter() {
|
||||
const vlmModelId = getSessionItem('vlm_model_id');
|
||||
const vlmPageType = getSessionItem('vlm_page_type');
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
|
||||
// Only show VLM indicator when it belongs to the current page type
|
||||
if (vlmModelId && vlmPageType !== this.pageType) {
|
||||
// Stale VLM data from a different page — clean up
|
||||
removeSessionItem('vlm_model_id');
|
||||
removeSessionItem('vlm_model_name');
|
||||
removeSessionItem('vlm_base_model');
|
||||
removeSessionItem('vlm_page_type');
|
||||
removeSessionItem('vlm_prev_sort');
|
||||
this._removeVlmSortOption();
|
||||
if (sortSelect) sortSelect.disabled = false;
|
||||
return;
|
||||
}
|
||||
|
||||
const vlmModelName = getSessionItem('vlm_model_name');
|
||||
const vlmBaseModel = getSessionItem('vlm_base_model');
|
||||
|
||||
if (vlmModelId && vlmModelName) {
|
||||
// VLM is active — inject sort option, disable dropdown, show indicator
|
||||
this._addVlmSortOption();
|
||||
if (sortSelect) {
|
||||
sortSelect.value = 'version_id:desc';
|
||||
sortSelect.disabled = true;
|
||||
}
|
||||
|
||||
const indicator = document.getElementById('customFilterIndicator');
|
||||
const filterText = indicator?.querySelector('.customFilterText');
|
||||
|
||||
if (indicator && filterText) {
|
||||
indicator.classList.remove('hidden');
|
||||
|
||||
const prefix = vlmBaseModel
|
||||
? 'Showing same-base versions from'
|
||||
: 'Showing all versions from';
|
||||
const displayText = `${prefix}: ${vlmModelName}`;
|
||||
|
||||
filterText.textContent = this._truncateText(displayText, 40);
|
||||
filterText.setAttribute('title', displayText);
|
||||
}
|
||||
} else {
|
||||
// No VLM — ensure sort option is removed and dropdown is enabled
|
||||
this._removeVlmSortOption();
|
||||
if (sortSelect) sortSelect.disabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Clear custom filter
|
||||
*/
|
||||
async clearCustomFilter() {
|
||||
// Check for View Local Versions filter first
|
||||
const vlmModelId = getSessionItem('vlm_model_id');
|
||||
if (vlmModelId) {
|
||||
removeSessionItem('vlm_model_id');
|
||||
removeSessionItem('vlm_model_name');
|
||||
removeSessionItem('vlm_base_model');
|
||||
removeSessionItem('vlm_page_type');
|
||||
|
||||
this._restoreSortAfterVlm();
|
||||
|
||||
// Hide the indicator
|
||||
const indicator = document.getElementById('customFilterIndicator');
|
||||
if (indicator) {
|
||||
indicator.classList.add('hidden');
|
||||
}
|
||||
|
||||
// Reload data via API (no page reload)
|
||||
await this.resetAndReload(true);
|
||||
return;
|
||||
}
|
||||
|
||||
// Otherwise delegate to subclass for recipe filters
|
||||
if (!this.api) {
|
||||
console.error('API methods not registered');
|
||||
return;
|
||||
}
|
||||
|
||||
|
||||
try {
|
||||
await this.api.clearCustomFilter();
|
||||
} catch (error) {
|
||||
@@ -475,6 +685,14 @@ export class PageControls {
|
||||
showToast('toast.controls.clearFilterFailed', { message: error.message }, 'error');
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Truncate text with ellipsis
|
||||
*/
|
||||
_truncateText(text, maxLength) {
|
||||
if (!text) return '';
|
||||
return text.length > maxLength ? `${text.substring(0, maxLength - 3)}...` : text;
|
||||
}
|
||||
|
||||
/**
|
||||
* Initialize the favorites filter button state
|
||||
|
||||
@@ -0,0 +1,290 @@
|
||||
// SortDropdown.js — Decoupled sort trigger.
|
||||
//
|
||||
// The native <select> sizes its trigger to the widest <option>, so long
|
||||
// options (e.g. "Fewest versions first") or long i18n translations force the
|
||||
// control to be far wider than the selected text needs. This module wraps the
|
||||
// existing <select> with a custom trigger + menu that mirror its state, so the
|
||||
// trigger sizes to the selected text while the menu sizes to its content.
|
||||
//
|
||||
// The native <select> stays in the DOM (visually hidden) so existing code that
|
||||
// reads/writes `.value` / `.disabled` and dynamically adds/removes <option>s
|
||||
// (e.g. the VLM temporary option) keeps working unchanged. The `value` and
|
||||
// `disabled` setters are overridden on the instance to keep the trigger label
|
||||
// and disabled styling in sync with programmatic changes.
|
||||
//
|
||||
// Keyboard navigation (arrows, Home/End, type-to-select) mirrors native
|
||||
// <select> behavior so the control remains fully accessible.
|
||||
|
||||
const SORT_GROUP_SELECTOR = '.sort-dropdown-group';
|
||||
const ACTIVE_GROUP_SELECTOR = '.sort-dropdown-group.active, .dropdown-group.active';
|
||||
|
||||
/**
|
||||
* Initialize a decoupled sort dropdown around a native <select>.
|
||||
* Idempotent: safe to call more than once on the same element.
|
||||
* @param {HTMLSelectElement|null} select
|
||||
* @returns {void}
|
||||
*/
|
||||
export function initSortDropdown(select) {
|
||||
if (!select) return;
|
||||
|
||||
const group = select.closest(SORT_GROUP_SELECTOR);
|
||||
if (!group || group.dataset.sortReady === '1') return;
|
||||
|
||||
const trigger = group.querySelector('.sort-trigger');
|
||||
const menu = group.querySelector('.sort-dropdown-menu');
|
||||
const label = group.querySelector('.sort-trigger__label');
|
||||
if (!trigger || !menu || !label) return;
|
||||
|
||||
const getOptions = () => menu.querySelectorAll('.sort-option');
|
||||
|
||||
const buildItem = (opt) => {
|
||||
const item = document.createElement('div');
|
||||
item.className = 'sort-option';
|
||||
item.setAttribute('role', 'option');
|
||||
item.tabIndex = -1;
|
||||
item.dataset.value = opt.value;
|
||||
item.textContent = opt.textContent;
|
||||
item.addEventListener('click', (event) => {
|
||||
event.stopPropagation();
|
||||
if (select.disabled) return;
|
||||
choose(opt.value);
|
||||
close();
|
||||
});
|
||||
return item;
|
||||
};
|
||||
|
||||
const buildMenu = () => {
|
||||
menu.innerHTML = '';
|
||||
const fragment = document.createDocumentFragment();
|
||||
for (const child of Array.from(select.children)) {
|
||||
if (child.tagName === 'OPTGROUP') {
|
||||
const header = document.createElement('div');
|
||||
header.className = 'sort-optgroup-label';
|
||||
header.textContent = child.label || '';
|
||||
fragment.appendChild(header);
|
||||
for (const opt of Array.from(child.children)) {
|
||||
fragment.appendChild(buildItem(opt));
|
||||
}
|
||||
} else if (child.tagName === 'OPTION') {
|
||||
fragment.appendChild(buildItem(child));
|
||||
}
|
||||
}
|
||||
menu.appendChild(fragment);
|
||||
syncSelected();
|
||||
};
|
||||
|
||||
const syncSelected = () => {
|
||||
const value = select.value;
|
||||
let labelText = '';
|
||||
let matched = false;
|
||||
getOptions().forEach((el) => {
|
||||
const selected = el.dataset.value === value;
|
||||
el.classList.toggle('is-selected', selected);
|
||||
el.setAttribute('aria-selected', selected ? 'true' : 'false');
|
||||
if (selected) {
|
||||
labelText = el.textContent;
|
||||
matched = true;
|
||||
}
|
||||
});
|
||||
if (!matched) {
|
||||
const opt = select.querySelector(`option[value="${cssEscape(value)}"]`);
|
||||
labelText = opt
|
||||
? opt.textContent
|
||||
: (select.options[select.selectedIndex]?.textContent ?? '');
|
||||
}
|
||||
label.textContent = labelText;
|
||||
};
|
||||
|
||||
const choose = (value) => {
|
||||
if (select.value === value) return;
|
||||
select.value = value;
|
||||
select.dispatchEvent(new Event('change', { bubbles: true }));
|
||||
};
|
||||
|
||||
const open = () => {
|
||||
document.querySelectorAll(ACTIVE_GROUP_SELECTOR).forEach((g) => {
|
||||
if (g !== group) g.classList.remove('active');
|
||||
});
|
||||
group.classList.add('active');
|
||||
trigger.setAttribute('aria-expanded', 'true');
|
||||
// Focus the currently selected option (or the first option) so
|
||||
// keyboard navigation starts from a sensible position.
|
||||
requestAnimationFrame(() => {
|
||||
const selected = menu.querySelector('.sort-option.is-selected');
|
||||
(selected || getOptions()[0])?.focus();
|
||||
});
|
||||
};
|
||||
|
||||
const close = () => {
|
||||
group.classList.remove('active');
|
||||
trigger.setAttribute('aria-expanded', 'false');
|
||||
};
|
||||
|
||||
const toggle = () => {
|
||||
if (group.classList.contains('active')) close();
|
||||
else open();
|
||||
};
|
||||
|
||||
// ---- keyboard navigation ----
|
||||
|
||||
// Type-to-select buffer: accumulate characters and reset after a pause.
|
||||
// Shared between trigger and menu keydown handlers.
|
||||
let typeBuffer = '';
|
||||
let typeTimer = null;
|
||||
|
||||
const focusOptionByText = (prefix) => {
|
||||
const options = getOptions();
|
||||
const lower = prefix.toLowerCase();
|
||||
for (let i = 0; i < options.length; i++) {
|
||||
if (options[i].textContent.toLowerCase().startsWith(lower)) {
|
||||
options[i].focus();
|
||||
return;
|
||||
}
|
||||
}
|
||||
};
|
||||
|
||||
const moveFocus = (options, direction) => {
|
||||
const focused = menu.querySelector('.sort-option:focus');
|
||||
let idx = focused ? Array.from(options).indexOf(focused) : -1;
|
||||
idx = Math.max(0, Math.min(options.length - 1, idx + direction));
|
||||
options[idx]?.focus();
|
||||
};
|
||||
|
||||
const handleTypeToSelect = (event) => {
|
||||
if (event.key.length !== 1 || event.ctrlKey || event.metaKey || event.altKey) return false;
|
||||
event.preventDefault();
|
||||
clearTimeout(typeTimer);
|
||||
typeBuffer += event.key;
|
||||
focusOptionByText(typeBuffer);
|
||||
typeTimer = setTimeout(() => { typeBuffer = ''; }, 800);
|
||||
return true;
|
||||
};
|
||||
|
||||
trigger.addEventListener('click', (event) => {
|
||||
event.stopPropagation();
|
||||
if (select.disabled) return;
|
||||
toggle();
|
||||
});
|
||||
|
||||
trigger.addEventListener('keydown', (event) => {
|
||||
if (event.key === 'Escape') {
|
||||
close();
|
||||
} else if (event.key === 'Enter' || event.key === ' ' || event.key === 'Spacebar') {
|
||||
event.preventDefault();
|
||||
if (!select.disabled) toggle();
|
||||
} else if (!group.classList.contains('active')) {
|
||||
// Type-to-select on closed dropdown: open and highlight match
|
||||
if (handleTypeToSelect(event)) {
|
||||
open();
|
||||
}
|
||||
}
|
||||
});
|
||||
|
||||
menu.addEventListener('keydown', (event) => {
|
||||
const options = getOptions();
|
||||
if (options.length === 0) return;
|
||||
|
||||
switch (event.key) {
|
||||
case 'Escape':
|
||||
event.preventDefault();
|
||||
close();
|
||||
trigger.focus();
|
||||
return;
|
||||
|
||||
case 'ArrowDown':
|
||||
event.preventDefault();
|
||||
moveFocus(options, 1);
|
||||
return;
|
||||
|
||||
case 'ArrowUp':
|
||||
event.preventDefault();
|
||||
moveFocus(options, -1);
|
||||
return;
|
||||
|
||||
case 'Home':
|
||||
event.preventDefault();
|
||||
options[0]?.focus();
|
||||
return;
|
||||
|
||||
case 'End':
|
||||
event.preventDefault();
|
||||
options[options.length - 1]?.focus();
|
||||
return;
|
||||
|
||||
case 'Enter':
|
||||
case ' ':
|
||||
event.preventDefault();
|
||||
if (select.disabled) return;
|
||||
const focused = menu.querySelector('.sort-option:focus');
|
||||
if (focused) {
|
||||
choose(focused.dataset.value);
|
||||
close();
|
||||
trigger.focus();
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
handleTypeToSelect(event);
|
||||
});
|
||||
|
||||
// Close dropdown when clicking outside
|
||||
document.addEventListener('click', (event) => {
|
||||
if (!group.contains(event.target)) {
|
||||
close();
|
||||
trigger.focus();
|
||||
}
|
||||
});
|
||||
|
||||
// ---- property overrides ----
|
||||
|
||||
// Override `value` and `disabled` on this instance so programmatic
|
||||
// changes (loadSortPreference, VLM toggle, excluded-view sync, ...) keep
|
||||
// the trigger label and disabled styling in sync without touching callers.
|
||||
const proto = Object.getPrototypeOf(select);
|
||||
const valueDescriptor =
|
||||
Object.getOwnPropertyDescriptor(proto, 'value') ||
|
||||
Object.getOwnPropertyDescriptor(HTMLSelectElement.prototype, 'value');
|
||||
const disabledDescriptor =
|
||||
Object.getOwnPropertyDescriptor(proto, 'disabled') ||
|
||||
Object.getOwnPropertyDescriptor(HTMLSelectElement.prototype, 'disabled');
|
||||
|
||||
if (valueDescriptor) {
|
||||
Object.defineProperty(select, 'value', {
|
||||
get() { return valueDescriptor.get.call(this); },
|
||||
set(v) {
|
||||
valueDescriptor.set.call(this, v);
|
||||
syncSelected();
|
||||
},
|
||||
configurable: true,
|
||||
});
|
||||
}
|
||||
|
||||
if (disabledDescriptor) {
|
||||
Object.defineProperty(select, 'disabled', {
|
||||
get() { return disabledDescriptor.get.call(this); },
|
||||
set(v) {
|
||||
disabledDescriptor.set.call(this, v);
|
||||
group.classList.toggle('is-disabled', Boolean(v));
|
||||
trigger.disabled = Boolean(v);
|
||||
if (v) close();
|
||||
},
|
||||
configurable: true,
|
||||
});
|
||||
}
|
||||
|
||||
// Rebuild the menu when <option>s change (VLM adds/removes a temporary
|
||||
// option at runtime).
|
||||
const observer = new MutationObserver(() => buildMenu());
|
||||
observer.observe(select, { childList: true });
|
||||
|
||||
buildMenu();
|
||||
group.dataset.sortReady = '1';
|
||||
}
|
||||
|
||||
function cssEscape(value) {
|
||||
if (typeof CSS !== 'undefined' && typeof CSS.escape === 'function') {
|
||||
return CSS.escape(value);
|
||||
}
|
||||
// Fallback for environments without CSS.escape
|
||||
return String(value).replace(/[!"#$%&'()*+,./:;<=>?@[\]^`{|}~\\ -]/g, '\\$&');
|
||||
}
|
||||
@@ -100,6 +100,12 @@ function handleModelCardEvent_internal(event, modelType) {
|
||||
return true; // Stop propagation
|
||||
}
|
||||
|
||||
if (event.target.closest('.version-count-link')) {
|
||||
event.stopPropagation();
|
||||
handleViewLocalVersionsFromCard(card, modelType);
|
||||
return true;
|
||||
}
|
||||
|
||||
// If no specific element was clicked, handle the card click (show modal or toggle selection)
|
||||
handleCardClick(card, modelType);
|
||||
return false; // Continue with other handlers (e.g., bulk selection)
|
||||
@@ -265,6 +271,22 @@ async function handleExampleImagesAccess(card, modelType) {
|
||||
}
|
||||
}
|
||||
|
||||
function handleViewLocalVersionsFromCard(card, modelType) {
|
||||
const modelId = card.dataset.modelId;
|
||||
const modelName = card.dataset.name;
|
||||
if (!modelId) return;
|
||||
// Respect version_grouping: only filter by base model when the strategy says so
|
||||
const strategy = state.global?.settings?.version_grouping;
|
||||
const shouldFilterByBase = strategy === 'same_base';
|
||||
const baseModel = shouldFilterByBase && card.dataset.base_model !== 'Unknown'
|
||||
? card.dataset.base_model
|
||||
: undefined;
|
||||
// Use the no-reload VLM flow via PageControls
|
||||
if (window.pageControls && typeof window.pageControls.triggerVlmView === 'function') {
|
||||
window.pageControls.triggerVlmView(modelId, modelName, baseModel, modelType);
|
||||
}
|
||||
}
|
||||
|
||||
function handleCardClick(card, modelType) {
|
||||
const pageState = getCurrentPageState();
|
||||
|
||||
@@ -448,6 +470,10 @@ export function createModelCard(model, modelType) {
|
||||
const hasUpdateAvailable = Boolean(model.update_available);
|
||||
card.dataset.update_available = hasUpdateAvailable ? 'true' : 'false';
|
||||
card.dataset.skip_metadata_refresh = model.skip_metadata_refresh ? 'true' : 'false';
|
||||
// Store version_count for group-by-model display
|
||||
if (model.version_count !== undefined) {
|
||||
card.dataset.version_count = model.version_count;
|
||||
}
|
||||
|
||||
// To only show usage_count when sorting by usage.
|
||||
const pageState = getCurrentPageState();
|
||||
@@ -659,16 +685,28 @@ export function createModelCard(model, modelType) {
|
||||
const autoTags = model.auto_tags || [];
|
||||
const hlTags = autoTags.filter(t => t === 'HIGH' || t === 'LOW');
|
||||
const hasVersionName = model.civitai?.name;
|
||||
if (!hlTags.length && !hasVersionName) return '';
|
||||
// When group_by_model is active and model has multiple versions,
|
||||
// show clickable version count instead of version name (and hide badges)
|
||||
const isGroupByModel = state.global.settings.group_by_model;
|
||||
const versionCount = model.version_count;
|
||||
const showVersionCount = isGroupByModel && versionCount > 1;
|
||||
if (!hlTags.length && !hasVersionName && !showVersionCount) return '';
|
||||
const density = state.global.settings.display_density || 'default';
|
||||
const shortLabels = density === 'medium' || density === 'compact';
|
||||
const badges = hlTags.map(t => {
|
||||
// Don't show HIGH/LOW badges when showing version count (confusing in grouped mode)
|
||||
const badges = !showVersionCount ? hlTags.map(t => {
|
||||
const cls = t === 'HIGH' ? 'hl-badge hl-badge--high' : 'hl-badge hl-badge--low';
|
||||
const label = shortLabels ? (t === 'HIGH' ? 'H' : 'L') : t;
|
||||
const titleAttr = shortLabels ? ` title="${t}"` : '';
|
||||
return `<span class="${cls}"${titleAttr}>${label}</span>`;
|
||||
}).join('');
|
||||
const versionHtml = hasVersionName ? `<span class="version-name civitai-version">${model.civitai.name}</span>` : '';
|
||||
}).join('') : '';
|
||||
let versionHtml = '';
|
||||
if (showVersionCount) {
|
||||
const countLabel = translate('modelCard.footer.versionCount', { count: versionCount }, `${versionCount} versions`);
|
||||
versionHtml = `<span class="version-count-link" title="${translate('modelCard.footer.viewAllVersions', {}, 'View all local versions')}">${countLabel}</span>`;
|
||||
} else if (hasVersionName) {
|
||||
versionHtml = `<span class="version-name civitai-version">${model.civitai.name}</span>`;
|
||||
}
|
||||
return `<span class="badge-version-unit">${badges}${versionHtml}</span>`;
|
||||
})()}
|
||||
${hasUsageCount ? `<span class="version-name" title="${translate('modelCard.usage.timesUsed', {}, 'Times used')}">${model.usage_count}×</span>` : ''}
|
||||
|
||||
@@ -234,6 +234,95 @@ function renderLicenseIcons(modelData) {
|
||||
</div>`;
|
||||
}
|
||||
|
||||
// ── Set 2 (new CivitAI-style) permission icons ──
|
||||
|
||||
const NEW_LICENSE_ICON_CONFIG = [
|
||||
{
|
||||
key: 'commercial',
|
||||
icon: 'currency-dollar.svg',
|
||||
allowedFn: (license) => {
|
||||
const uses = license.allowCommercialUse || [];
|
||||
return uses.includes('Image') || uses.includes('Sell');
|
||||
},
|
||||
labelAllowed: 'Commercial use allowed',
|
||||
labelDenied: 'No commercial use'
|
||||
},
|
||||
{
|
||||
key: 'genServices',
|
||||
icon: 'brush.svg',
|
||||
allowedFn: (license) => {
|
||||
const uses = license.allowCommercialUse || [];
|
||||
return uses.includes('RentCivit') || uses.includes('Rent');
|
||||
},
|
||||
labelAllowed: 'Generation services allowed',
|
||||
labelDenied: 'No generation services'
|
||||
},
|
||||
{
|
||||
key: 'credit',
|
||||
icon: 'user.svg',
|
||||
allowedFn: (license) => !!license.allowNoCredit,
|
||||
labelAllowed: 'No credit required',
|
||||
labelDenied: 'Creator credit required'
|
||||
},
|
||||
{
|
||||
key: 'derivatives',
|
||||
icon: 'git-merge.svg',
|
||||
allowedFn: (license) => !!license.allowDerivatives,
|
||||
labelAllowed: 'Merges allowed',
|
||||
labelDenied: 'No merges allowed'
|
||||
},
|
||||
{
|
||||
key: 'relicense',
|
||||
icon: 'license.svg',
|
||||
allowedFn: (license) => !!license.allowDifferentLicense,
|
||||
labelAllowed: 'Different permissions allowed on merges',
|
||||
labelDenied: 'Same permissions required on merges'
|
||||
}
|
||||
];
|
||||
|
||||
function createNewLicenseIconMarkup(icon, allowed, label) {
|
||||
const safeLabel = escapeAttribute(label);
|
||||
const iconPath = `/loras_static/images/tabler/${icon}`;
|
||||
const stateClass = allowed ? 'allowed' : 'denied';
|
||||
return `<span class="license-icon-new ${stateClass}" role="img" aria-label="${safeLabel}" title="${safeLabel}" style="--license-icon-image: url('${iconPath}')"></span>`;
|
||||
}
|
||||
|
||||
function renderNewLicenseIcons(modelData) {
|
||||
const license = modelData?.civitai?.model;
|
||||
if (!license) {
|
||||
return '';
|
||||
}
|
||||
|
||||
const icons = [];
|
||||
NEW_LICENSE_ICON_CONFIG.forEach((config) => {
|
||||
if (config.key === 'credit' && !hasLicenseField(license, 'allowNoCredit')) {
|
||||
return;
|
||||
}
|
||||
if (config.key === 'derivatives' && !hasLicenseField(license, 'allowDerivatives')) {
|
||||
return;
|
||||
}
|
||||
if (config.key === 'relicense' && !hasLicenseField(license, 'allowDifferentLicense')) {
|
||||
return;
|
||||
}
|
||||
if ((config.key === 'commercial' || config.key === 'genServices') && !hasLicenseField(license, 'allowCommercialUse')) {
|
||||
return;
|
||||
}
|
||||
const allowed = config.allowedFn(license);
|
||||
const label = allowed ? config.labelAllowed : config.labelDenied;
|
||||
icons.push(createNewLicenseIconMarkup(config.icon, allowed, label));
|
||||
});
|
||||
|
||||
if (!icons.length) {
|
||||
return '';
|
||||
}
|
||||
|
||||
const containerLabel = translate('modals.model.license.restrictionsLabel', {}, 'License permissions');
|
||||
const safeContainerLabel = escapeAttribute(containerLabel);
|
||||
return `<div class="license-permissions" aria-label="${safeContainerLabel}" role="group">
|
||||
${icons.join('\n ')}
|
||||
</div>`;
|
||||
}
|
||||
|
||||
/**
|
||||
* Display the model modal with the given model data
|
||||
* @param {Object} model - Model data object
|
||||
@@ -264,7 +353,10 @@ export async function showModelModal(model, modelType) {
|
||||
};
|
||||
const escapedFilePathAttr = escapeAttribute(modelWithFullData.file_path || '');
|
||||
const escapedFolderPath = escapeHtml((modelWithFullData.file_path || '').replace(/[^/]+$/, '') || 'N/A');
|
||||
const licenseIcons = renderLicenseIcons(modelWithFullData);
|
||||
const useNewIcons = state.global.settings.use_new_license_icons !== false;
|
||||
const licenseIcons = useNewIcons
|
||||
? renderNewLicenseIcons(modelWithFullData)
|
||||
: renderLicenseIcons(modelWithFullData);
|
||||
const viewOnCivitaiAction = modelWithFullData.from_civitai ? `
|
||||
<div class="civitai-view" title="${translate('modals.model.actions.viewOnCivitai', {}, 'View on Civitai')}" data-action="view-civitai" data-filepath="${escapedFilePathAttr}">
|
||||
<i class="fas fa-globe"></i> ${translate('modals.model.actions.viewOnCivitaiText', {}, 'View on Civitai')}
|
||||
@@ -660,6 +752,7 @@ export async function showModelModal(model, modelType) {
|
||||
modelId: civitaiModelId,
|
||||
currentVersionId: civitaiVersionId,
|
||||
currentBaseModel: modelWithFullData.base_model,
|
||||
modelName: model.model_name,
|
||||
onUpdateStatusChange: handleUpdateStatusChange,
|
||||
});
|
||||
setupEditableFields(modelWithFullData.file_path, modelType);
|
||||
|
||||
@@ -29,6 +29,14 @@ let priorityTagSuggestionsLoaded = false;
|
||||
let priorityTagSuggestionsPromise = null;
|
||||
let activeTagDragState = null;
|
||||
|
||||
// Configurable options for tag editing (set by setupTagEditMode)
|
||||
let tagEditOptions = {
|
||||
showSuggestions: true,
|
||||
saveHandler: null,
|
||||
onSaved: null,
|
||||
normalizeTag: true,
|
||||
};
|
||||
|
||||
function normalizeModelTypeKey(modelType) {
|
||||
if (!modelType) {
|
||||
return '';
|
||||
@@ -140,13 +148,30 @@ let saveTagsHandler = null;
|
||||
|
||||
/**
|
||||
* Set up tag editing mode
|
||||
* @param {string|null} modelType - Model type for suggestions (e.g. 'loras', 'checkpoints')
|
||||
* @param {Object} [options] - Optional configuration
|
||||
* @param {boolean} [options.showSuggestions=true] - Show priority tag suggestions dropdown
|
||||
* @param {Function} [options.saveHandler] - Custom save function, async (filePath, tags) => {}
|
||||
* @param {Function} [options.onSaved] - Called after successful save, (tags) => {}
|
||||
* @param {boolean} [options.normalizeTag=true] - Lowercase tag on add
|
||||
*/
|
||||
export function setupTagEditMode(modelType = null) {
|
||||
const editBtn = document.querySelector('.edit-tags-btn');
|
||||
export function setupTagEditMode(modelType = null, options = {}) {
|
||||
// Store options for use by saveTags and addNewTag
|
||||
tagEditOptions = {
|
||||
showSuggestions: options.showSuggestions !== false,
|
||||
saveHandler: options.saveHandler || null,
|
||||
onSaved: options.onSaved || null,
|
||||
normalizeTag: options.normalizeTag !== false,
|
||||
};
|
||||
|
||||
const root = options.container || document;
|
||||
const editBtn = root.querySelector('.edit-tags-btn');
|
||||
if (!editBtn) return;
|
||||
|
||||
setActiveModelTypeKey(modelType);
|
||||
ensurePriorityTagSuggestions();
|
||||
if (tagEditOptions.showSuggestions) {
|
||||
setActiveModelTypeKey(modelType);
|
||||
ensurePriorityTagSuggestions();
|
||||
}
|
||||
|
||||
// Store original tags for restoring on cancel
|
||||
let originalTags = [];
|
||||
@@ -158,7 +183,8 @@ export function setupTagEditMode(modelType = null) {
|
||||
|
||||
// Create new handler and store reference
|
||||
const editBtnClickHandler = function() {
|
||||
const tagsSection = document.querySelector('.model-tags-container');
|
||||
const tagsSection = this.closest('.model-tags-container');
|
||||
if (!tagsSection) return;
|
||||
const isEditMode = tagsSection.classList.toggle('edit-mode');
|
||||
const filePath = this.dataset.filePath;
|
||||
|
||||
@@ -193,16 +219,18 @@ export function setupTagEditMode(modelType = null) {
|
||||
tagsSection.appendChild(editContainer);
|
||||
|
||||
// Setup the tag input field behavior
|
||||
setupTagInput();
|
||||
setupTagInput(tagsSection);
|
||||
|
||||
// Create and add preset suggestions dropdown
|
||||
const tagForm = editContainer.querySelector('.metadata-add-form');
|
||||
const suggestionsDropdown = createSuggestionsDropdown(originalTags);
|
||||
tagForm.appendChild(suggestionsDropdown);
|
||||
if (tagEditOptions.showSuggestions) {
|
||||
const tagForm = editContainer.querySelector('.metadata-add-form');
|
||||
const suggestionsDropdown = createSuggestionsDropdown(originalTags);
|
||||
tagForm.appendChild(suggestionsDropdown);
|
||||
}
|
||||
|
||||
// Setup delete buttons for existing tags
|
||||
setupDeleteButtons();
|
||||
setupTagDragAndDrop();
|
||||
setupTagDragAndDrop(tagsSection);
|
||||
|
||||
// Transfer click event from original button to the cloned one
|
||||
const newEditBtn = editContainer.querySelector('.metadata-header-btn');
|
||||
@@ -218,7 +246,7 @@ export function setupTagEditMode(modelType = null) {
|
||||
// Just show the existing edit container
|
||||
tagsEditContainer.style.display = 'block';
|
||||
editBtn.style.display = 'none';
|
||||
setupTagDragAndDrop();
|
||||
setupTagDragAndDrop(tagsSection);
|
||||
}
|
||||
} else {
|
||||
// Exit edit mode
|
||||
@@ -255,7 +283,7 @@ export function setupTagEditMode(modelType = null) {
|
||||
saveTagsHandler = function(e) {
|
||||
if (e.target.classList.contains('save-tags-btn') ||
|
||||
e.target.closest('.save-tags-btn')) {
|
||||
saveTags();
|
||||
saveTags(e.target);
|
||||
}
|
||||
};
|
||||
|
||||
@@ -267,19 +295,28 @@ export function setupTagEditMode(modelType = null) {
|
||||
|
||||
/**
|
||||
* Save tags
|
||||
* @param {Element} [triggerElement] - The element that triggered the save (e.g. save button)
|
||||
*/
|
||||
async function saveTags() {
|
||||
const editBtn = document.querySelector('.edit-tags-btn');
|
||||
if (!editBtn) return;
|
||||
async function saveTags(triggerElement = null) {
|
||||
let editBtn;
|
||||
let scope;
|
||||
if (triggerElement) {
|
||||
scope = triggerElement.closest('.model-tags-container');
|
||||
editBtn = scope ? scope.querySelector('.edit-tags-btn') : document.querySelector('.edit-tags-btn');
|
||||
} else {
|
||||
scope = document.querySelector('.model-tags-container');
|
||||
editBtn = scope ? scope.querySelector('.edit-tags-btn') : null;
|
||||
}
|
||||
if (!editBtn || !scope) return;
|
||||
|
||||
const filePath = editBtn.dataset.filePath;
|
||||
const tagElements = document.querySelectorAll('.metadata-item');
|
||||
const tagElements = scope.querySelectorAll('.metadata-item');
|
||||
let tags = Array.from(tagElements).map(tag => tag.dataset.tag);
|
||||
|
||||
// Flush uncommitted input as a tag so it's not silently lost on save
|
||||
const tagInput = document.querySelector('.metadata-input');
|
||||
const tagInput = scope.querySelector('.metadata-input');
|
||||
if (tagInput) {
|
||||
const pendingTag = tagInput.value.trim().toLowerCase();
|
||||
const pendingTag = tagEditOptions.normalizeTag ? tagInput.value.trim().toLowerCase() : tagInput.value.trim();
|
||||
if (pendingTag && !tags.includes(pendingTag)) {
|
||||
tags.push(pendingTag);
|
||||
}
|
||||
@@ -287,7 +324,7 @@ async function saveTags() {
|
||||
}
|
||||
|
||||
// Get original tags to compare
|
||||
const originalTagElements = document.querySelectorAll('.tooltip-tag');
|
||||
const originalTagElements = scope.querySelectorAll('.tooltip-tag');
|
||||
const originalTags = Array.from(originalTagElements).map(tag => tag.textContent);
|
||||
|
||||
// Check if tags have actually changed
|
||||
@@ -301,59 +338,68 @@ async function saveTags() {
|
||||
}
|
||||
|
||||
try {
|
||||
// Save tags metadata
|
||||
await getModelApiClient().saveModelMetadata(filePath, { tags: tags });
|
||||
// Use custom save handler if provided, otherwise default model API
|
||||
if (tagEditOptions.saveHandler) {
|
||||
await tagEditOptions.saveHandler(filePath, tags);
|
||||
} else {
|
||||
await getModelApiClient().saveModelMetadata(filePath, { tags: tags });
|
||||
}
|
||||
|
||||
// Set flag to skip restoring original tags when exiting edit mode
|
||||
editBtn.dataset.skipRestore = "true";
|
||||
|
||||
// Update the compact tags display
|
||||
const compactTagsContainer = document.querySelector('.model-tags-container');
|
||||
if (compactTagsContainer) {
|
||||
// Generate new compact tags HTML
|
||||
const compactTagsDisplay = compactTagsContainer.querySelector('.model-tags-compact');
|
||||
|
||||
if (compactTagsDisplay) {
|
||||
// Clear current tags
|
||||
compactTagsDisplay.innerHTML = '';
|
||||
// Use custom onSaved if provided (e.g. for recipe dirty state + re-render)
|
||||
if (tagEditOptions.onSaved) {
|
||||
tagEditOptions.onSaved(tags);
|
||||
} else {
|
||||
// Update the compact tags display
|
||||
const compactTagsContainer = scope;
|
||||
if (compactTagsContainer) {
|
||||
// Generate new compact tags HTML
|
||||
const compactTagsDisplay = compactTagsContainer.querySelector('.model-tags-compact');
|
||||
|
||||
// Add visible tags (up to 5)
|
||||
const visibleTags = tags.slice(0, 5);
|
||||
visibleTags.forEach(tag => {
|
||||
const span = document.createElement('span');
|
||||
span.className = 'model-tag-compact';
|
||||
span.textContent = tag;
|
||||
compactTagsDisplay.appendChild(span);
|
||||
});
|
||||
if (compactTagsDisplay) {
|
||||
// Clear current tags
|
||||
compactTagsDisplay.innerHTML = '';
|
||||
|
||||
// Add visible tags (up to 5)
|
||||
const visibleTags = tags.slice(0, 5);
|
||||
visibleTags.forEach(tag => {
|
||||
const span = document.createElement('span');
|
||||
span.className = 'model-tag-compact';
|
||||
span.textContent = tag;
|
||||
compactTagsDisplay.appendChild(span);
|
||||
});
|
||||
|
||||
// Add more indicator if needed
|
||||
const remainingCount = Math.max(0, tags.length - 5);
|
||||
if (remainingCount > 0) {
|
||||
const more = document.createElement('span');
|
||||
more.className = 'model-tag-more';
|
||||
more.dataset.count = remainingCount;
|
||||
more.textContent = `+${remainingCount}`;
|
||||
compactTagsDisplay.appendChild(more);
|
||||
}
|
||||
}
|
||||
|
||||
// Add more indicator if needed
|
||||
const remainingCount = Math.max(0, tags.length - 5);
|
||||
if (remainingCount > 0) {
|
||||
const more = document.createElement('span');
|
||||
more.className = 'model-tag-more';
|
||||
more.dataset.count = remainingCount;
|
||||
more.textContent = `+${remainingCount}`;
|
||||
compactTagsDisplay.appendChild(more);
|
||||
// Update tooltip content
|
||||
const tooltipContent = compactTagsContainer.querySelector('.tooltip-content');
|
||||
if (tooltipContent) {
|
||||
tooltipContent.innerHTML = '';
|
||||
|
||||
tags.forEach(tag => {
|
||||
const span = document.createElement('span');
|
||||
span.className = 'tooltip-tag';
|
||||
span.textContent = tag;
|
||||
tooltipContent.appendChild(span);
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Update tooltip content
|
||||
const tooltipContent = compactTagsContainer.querySelector('.tooltip-content');
|
||||
if (tooltipContent) {
|
||||
tooltipContent.innerHTML = '';
|
||||
|
||||
tags.forEach(tag => {
|
||||
const span = document.createElement('span');
|
||||
span.className = 'tooltip-tag';
|
||||
span.textContent = tag;
|
||||
tooltipContent.appendChild(span);
|
||||
});
|
||||
}
|
||||
// Exit edit mode
|
||||
editBtn.click();
|
||||
}
|
||||
|
||||
// Exit edit mode
|
||||
editBtn.click();
|
||||
|
||||
showToast('modelTags.messages.updated', {}, 'success');
|
||||
} catch (error) {
|
||||
console.error('Error saving tags:', error);
|
||||
@@ -470,16 +516,19 @@ function renderPriorityTagSuggestions(container, existingTags = []) {
|
||||
|
||||
/**
|
||||
* Set up tag input behavior
|
||||
* @param {Element} scopeContainer - The .model-tags-container element
|
||||
*/
|
||||
function setupTagInput() {
|
||||
const tagInput = document.querySelector('.metadata-input');
|
||||
function setupTagInput(scopeContainer) {
|
||||
const tagInput = scopeContainer
|
||||
? scopeContainer.querySelector('.metadata-input')
|
||||
: document.querySelector('.metadata-input');
|
||||
|
||||
if (tagInput) {
|
||||
tagInput.focus();
|
||||
tagInput.addEventListener('keydown', function(e) {
|
||||
if (e.key === 'Enter') {
|
||||
e.preventDefault();
|
||||
addNewTag(this.value);
|
||||
addNewTag(this.value, this);
|
||||
this.value = ''; // Clear input after adding
|
||||
}
|
||||
});
|
||||
@@ -504,9 +553,12 @@ function setupDeleteButtons() {
|
||||
|
||||
/**
|
||||
* Enable drag-and-drop sorting for tag items
|
||||
* @param {Element} [scopeContainer] - Optional scoped .model-tags-container element
|
||||
*/
|
||||
function setupTagDragAndDrop() {
|
||||
const container = document.querySelector(METADATA_ITEMS_CONTAINER_SELECTOR);
|
||||
function setupTagDragAndDrop(scopeContainer) {
|
||||
const container = scopeContainer
|
||||
? scopeContainer.querySelector(METADATA_ITEMS_CONTAINER_SELECTOR)
|
||||
: document.querySelector(METADATA_ITEMS_CONTAINER_SELECTOR);
|
||||
if (!container) {
|
||||
return;
|
||||
}
|
||||
@@ -712,12 +764,14 @@ function finishPointerDrag() {
|
||||
/**
|
||||
* Add a new tag
|
||||
* @param {string} tag - Tag to add
|
||||
* @param {Element} [scopeElement] - Element within the correct .model-tags-container for scoping
|
||||
*/
|
||||
function addNewTag(tag) {
|
||||
tag = tag.trim().toLowerCase();
|
||||
function addNewTag(tag, scopeElement = null) {
|
||||
tag = tagEditOptions.normalizeTag ? tag.trim().toLowerCase() : tag.trim();
|
||||
if (!tag) return;
|
||||
|
||||
const tagsContainer = document.querySelector('.metadata-items');
|
||||
const scope = scopeElement ? scopeElement.closest('.model-tags-container') : document;
|
||||
const tagsContainer = scope.querySelector('.metadata-items');
|
||||
if (!tagsContainer) return;
|
||||
|
||||
// Validation: Check length
|
||||
@@ -762,7 +816,7 @@ function addNewTag(tag) {
|
||||
});
|
||||
|
||||
tagsContainer.appendChild(newTag);
|
||||
setupTagDragAndDrop();
|
||||
setupTagDragAndDrop(scope);
|
||||
|
||||
// Update status of items in the suggestions dropdown
|
||||
updateSuggestionsDropdown();
|
||||
|
||||
@@ -6,6 +6,7 @@ import { translate } from '../../utils/i18nHelpers.js';
|
||||
import { state } from '../../state/index.js';
|
||||
import { buildCivitaiModelUrl } from '../../utils/civitaiUtils.js';
|
||||
import { formatFileSize } from './utils.js';
|
||||
import { setSessionItem, removeSessionItem } from '../../utils/storageHelpers.js';
|
||||
|
||||
const VIDEO_EXTENSIONS = ['.mp4', '.webm', '.mov', '.mkv'];
|
||||
const PREVIEW_PLACEHOLDER_URL = '/loras_static/images/no-preview.png';
|
||||
@@ -306,7 +307,7 @@ function getToggleTooltipText(mode) {
|
||||
}
|
||||
|
||||
function getDefaultDisplayMode() {
|
||||
const strategy = state?.global?.settings?.update_flag_strategy;
|
||||
const strategy = state?.global?.settings?.version_grouping;
|
||||
return strategy === DISPLAY_FILTER_MODES.SAME_BASE
|
||||
? DISPLAY_FILTER_MODES.SAME_BASE
|
||||
: DISPLAY_FILTER_MODES.ANY;
|
||||
@@ -338,7 +339,7 @@ function resolveUpdateAvailability(record, baseModel, currentVersionId) {
|
||||
return false;
|
||||
}
|
||||
|
||||
const strategy = state?.global?.settings?.update_flag_strategy;
|
||||
const strategy = state?.global?.settings?.version_grouping;
|
||||
const sameBaseMode = strategy === DISPLAY_FILTER_MODES.SAME_BASE;
|
||||
const hideEarlyAccess = state?.global?.settings?.hide_early_access_updates;
|
||||
|
||||
@@ -744,7 +745,7 @@ function renderToolbar(record, toolbarState = {}) {
|
||||
<button class="versions-toolbar-btn versions-toolbar-btn-primary" data-versions-action="toggle-model-ignore">
|
||||
${escapeHtml(ignoreText)}
|
||||
</button>
|
||||
<button class="versions-toolbar-btn versions-toolbar-btn-secondary" data-versions-action="view-local" title="${escapeHtml(translate('modals.model.versions.actions.viewLocalTooltip', {}, 'Coming soon'))}" disabled>
|
||||
<button class="versions-toolbar-btn versions-toolbar-btn-secondary" data-versions-action="view-local" title="${escapeHtml(translate('modals.model.versions.actions.viewLocalTooltip', {}, 'Show all local versions of this model on the main page'))}">
|
||||
${escapeHtml(viewLocalText)}
|
||||
</button>
|
||||
</div>
|
||||
@@ -792,6 +793,7 @@ export function initVersionsTab({
|
||||
modelId,
|
||||
currentVersionId,
|
||||
currentBaseModel,
|
||||
modelName,
|
||||
onUpdateStatusChange,
|
||||
}) {
|
||||
const pane = document.querySelector(`#${modalId} #versions-tab`);
|
||||
@@ -1019,6 +1021,39 @@ export function initVersionsTab({
|
||||
render(controller.record);
|
||||
}
|
||||
|
||||
function handleViewLocalVersions() {
|
||||
if (!controller.record || !modelId) {
|
||||
return;
|
||||
}
|
||||
// Determine base model filter based on current display mode
|
||||
const baseModelInfo = getCurrentVersionBaseModel(controller.record, normalizedCurrentVersionId);
|
||||
const isFilteringActive =
|
||||
displayMode === DISPLAY_FILTER_MODES.SAME_BASE &&
|
||||
Boolean(baseModelInfo.normalized);
|
||||
|
||||
// Write filter params to sessionStorage (page-scoped)
|
||||
setSessionItem('vlm_model_id', String(modelId));
|
||||
setSessionItem('vlm_model_name', modelName || String(modelId));
|
||||
setSessionItem('vlm_page_type', modelType);
|
||||
if (isFilteringActive) {
|
||||
// Use raw (non-normalized) base model for exact backend matching
|
||||
setSessionItem('vlm_base_model', baseModelInfo.raw);
|
||||
} else {
|
||||
removeSessionItem('vlm_base_model');
|
||||
}
|
||||
|
||||
// Close the modal and navigate via no-reload VLM flow
|
||||
modalManager.closeModal(modalId);
|
||||
if (window.pageControls && typeof window.pageControls.triggerVlmView === 'function') {
|
||||
window.pageControls.triggerVlmView(
|
||||
modelId,
|
||||
modelName || String(modelId),
|
||||
isFilteringActive ? baseModelInfo.raw : undefined,
|
||||
modelType
|
||||
);
|
||||
}
|
||||
}
|
||||
|
||||
async function handleToggleVersionIgnore(button, versionId) {
|
||||
if (!controller.record) {
|
||||
return;
|
||||
@@ -1348,6 +1383,10 @@ export function initVersionsTab({
|
||||
event.preventDefault();
|
||||
handleToggleVersionDisplayMode();
|
||||
break;
|
||||
case 'view-local':
|
||||
event.preventDefault();
|
||||
handleViewLocalVersions();
|
||||
break;
|
||||
default:
|
||||
break;
|
||||
}
|
||||
|
||||
@@ -3,7 +3,7 @@
|
||||
* Media-specific utility functions for showcase components
|
||||
* (Moved from uiHelpers.js to better organize code)
|
||||
*/
|
||||
import { showToast, copyToClipboard, getNSFWLevelName } from '../../../utils/uiHelpers.js';
|
||||
import { showToast, copyToClipboard, getNSFWLevelName, sendPromptToWorkflow, stripLoraTags, sendGenParamsToWorkflow } from '../../../utils/uiHelpers.js';
|
||||
import { state } from '../../../state/index.js';
|
||||
import { getModelApiClient } from '../../../api/modelApiFactory.js';
|
||||
import { NSFW_LEVELS, getMatureBlurThreshold } from '../../../utils/constants.js';
|
||||
@@ -318,6 +318,74 @@ export function initMetadataPanelHandlers(container) {
|
||||
});
|
||||
});
|
||||
|
||||
// Handle send prompt buttons
|
||||
const sendBtns = metadataPanel.querySelectorAll('.send-prompt-btn');
|
||||
sendBtns.forEach(sendBtn => {
|
||||
const promptIndex = sendBtn.dataset.promptIndex;
|
||||
const promptElement = wrapper.querySelector(`#prompt-${promptIndex}`);
|
||||
|
||||
sendBtn.addEventListener('click', async (e) => {
|
||||
e.stopPropagation();
|
||||
|
||||
if (!promptElement) return;
|
||||
|
||||
let promptText = promptElement.textContent || '';
|
||||
if (!promptText.trim()) {
|
||||
showToast('toast.recipes.noPromptToSend', {}, 'warning');
|
||||
return;
|
||||
}
|
||||
|
||||
// Respect strip <lora> setting from global state
|
||||
if (state.global.settings?.strip_lora_on_copy) {
|
||||
promptText = stripLoraTags(promptText);
|
||||
}
|
||||
|
||||
sendPromptToWorkflow(promptText);
|
||||
});
|
||||
});
|
||||
|
||||
// Handle send params buttons
|
||||
const paramsBtn = metadataPanel.querySelector('.send-params-btn');
|
||||
if (paramsBtn) {
|
||||
paramsBtn.addEventListener('click', async (e) => {
|
||||
e.stopPropagation();
|
||||
|
||||
// Collect gen params from the param-tag elements
|
||||
const tagsContainer = wrapper.querySelector('.params-tags');
|
||||
if (!tagsContainer) return;
|
||||
|
||||
const paramTags = tagsContainer.querySelectorAll('.param-tag');
|
||||
const genParams = {};
|
||||
|
||||
// Map display labels to genParams keys
|
||||
const labelToKey = {
|
||||
'Seed': 'seed',
|
||||
'Steps': 'steps',
|
||||
'Sampler': 'sampler',
|
||||
'CFG': 'cfg_scale',
|
||||
};
|
||||
|
||||
paramTags.forEach(tag => {
|
||||
const nameEl = tag.querySelector('.param-name');
|
||||
const valueEl = tag.querySelector('.param-value');
|
||||
if (!nameEl || !valueEl) return;
|
||||
|
||||
const label = nameEl.textContent.replace(':', '').trim();
|
||||
const key = labelToKey[label];
|
||||
if (key) {
|
||||
genParams[key] = valueEl.textContent.trim();
|
||||
}
|
||||
});
|
||||
|
||||
if (Object.keys(genParams).length === 0) {
|
||||
showToast('No sendable parameters found', {}, 'warning');
|
||||
return;
|
||||
}
|
||||
|
||||
await sendGenParamsToWorkflow(genParams);
|
||||
});
|
||||
}
|
||||
|
||||
// Prevent panel scroll from causing modal scroll
|
||||
metadataPanel.addEventListener('wheel', (e) => {
|
||||
const isAtTop = metadataPanel.scrollTop === 0;
|
||||
|
||||
@@ -28,14 +28,24 @@ export function generateMetadataPanel(hasParams, hasPrompts, prompt, negativePro
|
||||
|
||||
if (hasParams) {
|
||||
content += `
|
||||
<div class="params-tags">
|
||||
${size ? `<div class="param-tag"><span class="param-name">Size:</span><span class="param-value">${size}</span></div>` : ''}
|
||||
${seed ? `<div class="param-tag"><span class="param-name">Seed:</span><span class="param-value">${seed}</span></div>` : ''}
|
||||
${model ? `<div class="param-tag"><span class="param-name">Model:</span><span class="param-value">${model}</span></div>` : ''}
|
||||
${steps ? `<div class="param-tag"><span class="param-name">Steps:</span><span class="param-value">${steps}</span></div>` : ''}
|
||||
${sampler ? `<div class="param-tag"><span class="param-name">Sampler:</span><span class="param-value">${sampler}</span></div>` : ''}
|
||||
${cfgScale ? `<div class="param-tag"><span class="param-name">CFG:</span><span class="param-value">${cfgScale}</span></div>` : ''}
|
||||
${clipSkip ? `<div class="param-tag"><span class="param-name">Clip Skip:</span><span class="param-value">${clipSkip}</span></div>` : ''}
|
||||
<div class="metadata-row params-row">
|
||||
<div class="param-header">
|
||||
<span class="metadata-label">Params:</span>
|
||||
<div class="param-actions">
|
||||
<button class="send-params-btn" title="Send Params to Workflow">
|
||||
<i class="fas fa-paper-plane"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="params-tags">
|
||||
${size ? `<div class="param-tag"><span class="param-name">Size:</span><span class="param-value">${size}</span></div>` : ''}
|
||||
${seed ? `<div class="param-tag"><span class="param-name">Seed:</span><span class="param-value">${seed}</span></div>` : ''}
|
||||
${model ? `<div class="param-tag"><span class="param-name">Model:</span><span class="param-value">${model}</span></div>` : ''}
|
||||
${steps ? `<div class="param-tag"><span class="param-name">Steps:</span><span class="param-value">${steps}</span></div>` : ''}
|
||||
${sampler ? `<div class="param-tag"><span class="param-name">Sampler:</span><span class="param-value">${sampler}</span></div>` : ''}
|
||||
${cfgScale ? `<div class="param-tag"><span class="param-name">CFG:</span><span class="param-value">${cfgScale}</span></div>` : ''}
|
||||
${clipSkip ? `<div class="param-tag"><span class="param-name">Clip Skip:</span><span class="param-value">${clipSkip}</span></div>` : ''}
|
||||
</div>
|
||||
</div>
|
||||
`;
|
||||
}
|
||||
@@ -53,12 +63,19 @@ export function generateMetadataPanel(hasParams, hasPrompts, prompt, negativePro
|
||||
prompt = escapeHtml(prompt);
|
||||
content += `
|
||||
<div class="metadata-row prompt-row">
|
||||
<span class="metadata-label">Prompt:</span>
|
||||
<div class="param-header">
|
||||
<span class="metadata-label">Prompt:</span>
|
||||
<div class="param-actions">
|
||||
<button class="send-prompt-btn" data-prompt-index="${promptIndex}" title="Send Prompt to Workflow">
|
||||
<i class="fas fa-paper-plane"></i>
|
||||
</button>
|
||||
<button class="copy-prompt-btn" data-prompt-index="${promptIndex}" title="Copy Prompt">
|
||||
<i class="fas fa-copy"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="metadata-prompt-wrapper">
|
||||
<div class="metadata-prompt">${prompt}</div>
|
||||
<button class="copy-prompt-btn" data-prompt-index="${promptIndex}">
|
||||
<i class="fas fa-copy"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="hidden-prompt" id="prompt-${promptIndex}" style="display:none;">${prompt}</div>
|
||||
@@ -69,12 +86,19 @@ export function generateMetadataPanel(hasParams, hasPrompts, prompt, negativePro
|
||||
negativePrompt = escapeHtml(negativePrompt);
|
||||
content += `
|
||||
<div class="metadata-row prompt-row">
|
||||
<span class="metadata-label">Negative Prompt:</span>
|
||||
<div class="param-header">
|
||||
<span class="metadata-label">Negative Prompt:</span>
|
||||
<div class="param-actions">
|
||||
<button class="send-prompt-btn" data-prompt-index="${negPromptIndex}" title="Send Negative Prompt to Workflow">
|
||||
<i class="fas fa-paper-plane"></i>
|
||||
</button>
|
||||
<button class="copy-prompt-btn" data-prompt-index="${negPromptIndex}" title="Copy Negative Prompt">
|
||||
<i class="fas fa-copy"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="metadata-prompt-wrapper">
|
||||
<div class="metadata-prompt">${negativePrompt}</div>
|
||||
<button class="copy-prompt-btn" data-prompt-index="${negPromptIndex}">
|
||||
<i class="fas fa-copy"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="hidden-prompt" id="prompt-${negPromptIndex}" style="display:none;">${negativePrompt}</div>
|
||||
|
||||
@@ -78,10 +78,12 @@ export function renderCompactTags(tags, filePath = '') {
|
||||
|
||||
/**
|
||||
* Set up tag tooltip functionality
|
||||
* @param {Element} [scopeContainer] - Optional container to scope the querySelector
|
||||
*/
|
||||
export function setupTagTooltip() {
|
||||
const tagsContainer = document.querySelector('.model-tags-container');
|
||||
const tooltip = document.querySelector('.model-tags-tooltip');
|
||||
export function setupTagTooltip(scopeContainer = null) {
|
||||
const root = scopeContainer || document;
|
||||
const tagsContainer = root.querySelector('.model-tags-container');
|
||||
const tooltip = root.querySelector('.model-tags-tooltip');
|
||||
|
||||
if (tagsContainer && tooltip) {
|
||||
tagsContainer.addEventListener('mouseenter', () => {
|
||||
|
||||
@@ -327,10 +327,15 @@ export class DoctorManager {
|
||||
case 'open-settings':
|
||||
modalManager.showModal('settingsModal');
|
||||
window.setTimeout(() => {
|
||||
const input = document.getElementById('civitaiApiKey');
|
||||
if (input) {
|
||||
input.focus();
|
||||
input.scrollIntoView({ behavior: 'smooth', block: 'center' });
|
||||
// Open the API key editor directly
|
||||
if (typeof settingsManager.editApiKey === 'function') {
|
||||
settingsManager.editApiKey();
|
||||
} else {
|
||||
const input = document.getElementById('civitaiApiKey');
|
||||
if (input) {
|
||||
input.focus();
|
||||
input.scrollIntoView({ behavior: 'smooth', block: 'center' });
|
||||
}
|
||||
}
|
||||
}, 100);
|
||||
break;
|
||||
|
||||
@@ -321,29 +321,94 @@ class MoveManager {
|
||||
}
|
||||
|
||||
try {
|
||||
let movedFiles = []; // Array of { original_file_path, new_file_path }
|
||||
|
||||
if (this.bulkFilePaths) {
|
||||
// Bulk move mode
|
||||
await apiClient.moveBulkModels(this.bulkFilePaths, targetPath, this.useDefaultPath);
|
||||
|
||||
const results = await apiClient.moveBulkModels(this.bulkFilePaths, targetPath, this.useDefaultPath);
|
||||
movedFiles = (results || [])
|
||||
.filter(r => r.success)
|
||||
.map(r => ({ original_file_path: r.original_file_path, new_file_path: r.new_file_path }));
|
||||
|
||||
// Deselect moving items
|
||||
this.bulkFilePaths.forEach(path => bulkManager.deselectItem(path));
|
||||
} else {
|
||||
// Single move mode
|
||||
await apiClient.moveSingleModel(this.currentFilePath, targetPath, this.useDefaultPath);
|
||||
|
||||
const result = await apiClient.moveSingleModel(this.currentFilePath, targetPath, this.useDefaultPath);
|
||||
if (result) {
|
||||
movedFiles.push({
|
||||
original_file_path: result.original_file_path || this.currentFilePath,
|
||||
new_file_path: result.new_file_path
|
||||
});
|
||||
}
|
||||
|
||||
// Deselect moving item
|
||||
bulkManager.deselectItem(this.currentFilePath);
|
||||
}
|
||||
|
||||
// Refresh UI by reloading the current page, same as drag-and-drop behavior
|
||||
// This ensures all metadata (like preview URLs) are correctly formatted by the backend
|
||||
if (sidebarManager.pageControls && typeof sidebarManager.pageControls.resetAndReload === 'function') {
|
||||
await sidebarManager.pageControls.resetAndReload(true);
|
||||
} else if (sidebarManager.lastPageControls && typeof sidebarManager.lastPageControls.resetAndReload === 'function') {
|
||||
await sidebarManager.lastPageControls.resetAndReload(true);
|
||||
// Update VirtualScroller in-place instead of full reload
|
||||
if (movedFiles.length > 0 && state.virtualScroller) {
|
||||
// Get current page state for folder filter check
|
||||
const pageState = getCurrentPageState();
|
||||
const normalizedActive = (pageState.activeFolder || '').replace(/\\/g, '/').replace(/\/$/, '');
|
||||
const isRecursive = pageState.searchOptions?.recursive ?? true;
|
||||
const isFolderFiltered = pageState.activeFolder !== null;
|
||||
|
||||
// Determine which items are still visible after the move
|
||||
const pathsToRemove = [];
|
||||
const pathsToUpdate = []; // { originalPath, newData }
|
||||
|
||||
for (const moved of movedFiles) {
|
||||
if (!moved.original_file_path) continue;
|
||||
|
||||
if (isFolderFiltered) {
|
||||
// Compute relative folder of the new path
|
||||
const newRelativeFolder = this._getRelativeFolder(moved.new_file_path);
|
||||
const normalizedNewFolder = newRelativeFolder.replace(/\\/g, '/').replace(/\/$/, '');
|
||||
|
||||
// Check if the new location is still within the active folder
|
||||
let stillVisible;
|
||||
if (isRecursive) {
|
||||
stillVisible = normalizedActive === '' ||
|
||||
normalizedNewFolder === normalizedActive ||
|
||||
normalizedNewFolder.startsWith(normalizedActive + '/');
|
||||
} else {
|
||||
stillVisible = normalizedNewFolder === normalizedActive;
|
||||
}
|
||||
|
||||
if (stillVisible) {
|
||||
pathsToUpdate.push({
|
||||
originalPath: moved.original_file_path,
|
||||
newData: {
|
||||
file_path: moved.new_file_path,
|
||||
folder: newRelativeFolder
|
||||
}
|
||||
});
|
||||
} else {
|
||||
pathsToRemove.push(moved.original_file_path);
|
||||
}
|
||||
} else {
|
||||
// No folder filter active — items remain visible, just update path
|
||||
pathsToUpdate.push({
|
||||
originalPath: moved.original_file_path,
|
||||
newData: {
|
||||
file_path: moved.new_file_path,
|
||||
folder: this._getRelativeFolder(moved.new_file_path)
|
||||
}
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Apply updates to the VirtualScroller
|
||||
if (pathsToRemove.length > 0) {
|
||||
state.virtualScroller.removeMultipleItemsByFilePath(pathsToRemove);
|
||||
}
|
||||
for (const update of pathsToUpdate) {
|
||||
state.virtualScroller.updateSingleItem(update.originalPath, update.newData);
|
||||
}
|
||||
}
|
||||
|
||||
// Refresh folder tree in sidebar
|
||||
// Refresh folder tree in sidebar (no model data reload)
|
||||
await sidebarManager.refresh();
|
||||
|
||||
modalManager.closeModal('moveModal');
|
||||
|
||||
@@ -27,6 +27,9 @@ export class SearchManager {
|
||||
// Create clear button for search input
|
||||
this.createClearButton();
|
||||
|
||||
// Keyboard shortcut cue element (static, exists in the HTML)
|
||||
this.searchShortcutCue = document.getElementById('searchShortcutCue');
|
||||
|
||||
this.initEventListeners();
|
||||
this.loadSearchPreferences();
|
||||
this.setupKeyboardShortcuts();
|
||||
@@ -163,8 +166,13 @@ export class SearchManager {
|
||||
}
|
||||
|
||||
updateClearButtonVisibility() {
|
||||
const hasText = this.searchInput.value.length > 0;
|
||||
if (this.clearButton) {
|
||||
this.clearButton.classList.toggle('visible', this.searchInput.value.length > 0);
|
||||
this.clearButton.classList.toggle('visible', hasText);
|
||||
}
|
||||
// Toggle the keyboard shortcut cue: visible only when search is empty
|
||||
if (this.searchShortcutCue) {
|
||||
this.searchShortcutCue.classList.toggle('hidden', hasText);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -344,9 +344,14 @@ export class SettingsManager {
|
||||
if (mutation.type === 'attributes' && mutation.attributeName === 'style') {
|
||||
this.isOpen = settingsModal.style.display === 'block';
|
||||
|
||||
// When modal is opened, update checkbox state from current settings
|
||||
if (this.isOpen) {
|
||||
this.loadSettingsToUI();
|
||||
} else {
|
||||
// Reset API key edit mode on close
|
||||
this.cancelEditApiKey(true);
|
||||
// Clear proxy password on close
|
||||
const proxyPasswordInput = document.getElementById('proxyPassword');
|
||||
if (proxyPasswordInput) proxyPasswordInput.value = '';
|
||||
}
|
||||
}
|
||||
});
|
||||
@@ -805,12 +810,14 @@ export class SettingsManager {
|
||||
|
||||
// Set card blur amount slider
|
||||
const cardBlurAmountInput = document.getElementById('cardBlurAmount');
|
||||
const cardBlurValue = state.global.settings.card_blur_amount ?? 8;
|
||||
if (cardBlurAmountInput) {
|
||||
cardBlurAmountInput.value = state.global.settings.card_blur_amount ?? 8;
|
||||
cardBlurAmountInput.value = cardBlurValue;
|
||||
cardBlurAmountInput.style.setProperty('--range-fill', (cardBlurValue / 20 * 100) + '%');
|
||||
}
|
||||
const cardBlurAmountValue = document.getElementById('cardBlurAmountValue');
|
||||
if (cardBlurAmountValue) {
|
||||
cardBlurAmountValue.textContent = `${state.global.settings.card_blur_amount ?? 8}px`;
|
||||
cardBlurAmountValue.textContent = `${cardBlurValue}px`;
|
||||
}
|
||||
|
||||
const usePortableCheckbox = document.getElementById('usePortableSettings');
|
||||
@@ -818,6 +825,9 @@ export class SettingsManager {
|
||||
usePortableCheckbox.checked = !!state.global.settings.use_portable_settings;
|
||||
}
|
||||
|
||||
// Update API key status display (do NOT pre-fill the input)
|
||||
this.updateApiKeyStatus();
|
||||
|
||||
const civitaiHostSelect = document.getElementById('civitaiHost');
|
||||
if (civitaiHostSelect) {
|
||||
civitaiHostSelect.value = state.global.settings.civitai_host || 'civitai.com';
|
||||
@@ -895,15 +905,21 @@ export class SettingsManager {
|
||||
showVersionOnCardCheckbox.checked = state.global.settings.show_version_on_card !== false;
|
||||
}
|
||||
|
||||
// Set group by model
|
||||
const groupByModelCheckbox = document.getElementById('groupByModel');
|
||||
if (groupByModelCheckbox) {
|
||||
groupByModelCheckbox.checked = !!state.global.settings.group_by_model;
|
||||
}
|
||||
|
||||
// Set model name display setting
|
||||
const modelNameDisplaySelect = document.getElementById('modelNameDisplay');
|
||||
if (modelNameDisplaySelect) {
|
||||
modelNameDisplaySelect.value = state.global.settings.model_name_display || 'model_name';
|
||||
}
|
||||
|
||||
const updateFlagStrategySelect = document.getElementById('updateFlagStrategy');
|
||||
if (updateFlagStrategySelect) {
|
||||
updateFlagStrategySelect.value = state.global.settings.update_flag_strategy || 'same_base';
|
||||
const versionGroupingSelect = document.getElementById('versionGrouping');
|
||||
if (versionGroupingSelect) {
|
||||
versionGroupingSelect.value = state.global.settings.version_grouping || 'same_base';
|
||||
}
|
||||
|
||||
// Set hide early access updates setting
|
||||
@@ -1001,6 +1017,12 @@ export class SettingsManager {
|
||||
|
||||
this.loadDownloadBackendSettings();
|
||||
this.loadProxySettings();
|
||||
|
||||
// Set license icon style
|
||||
const useNewLicenseIconsCheckbox = document.getElementById('useNewLicenseIcons');
|
||||
if (useNewLicenseIconsCheckbox) {
|
||||
useNewLicenseIconsCheckbox.checked = state.global.settings.use_new_license_icons !== false;
|
||||
}
|
||||
}
|
||||
|
||||
loadDownloadBackendSettings() {
|
||||
@@ -1995,7 +2017,11 @@ export class SettingsManager {
|
||||
}
|
||||
}
|
||||
|
||||
if (settingKey === 'show_only_sfw' || settingKey === 'blur_mature_content') {
|
||||
if (settingKey === 'show_only_sfw' || settingKey === 'blur_mature_content' || settingKey === 'group_by_model') {
|
||||
// Save/restore sort preference when toggling group_by_model
|
||||
if (settingKey === 'group_by_model' && window.pageControls?.onGroupByModelToggled) {
|
||||
window.pageControls.onGroupByModelToggled(value);
|
||||
}
|
||||
this.reloadContent();
|
||||
}
|
||||
|
||||
@@ -2044,7 +2070,7 @@ export class SettingsManager {
|
||||
if (
|
||||
settingKey === 'model_name_display'
|
||||
|| settingKey === 'model_card_footer_action'
|
||||
|| settingKey === 'update_flag_strategy'
|
||||
|| settingKey === 'version_grouping'
|
||||
|| settingKey === 'mature_blur_level'
|
||||
) {
|
||||
this.reloadContent();
|
||||
@@ -2070,6 +2096,9 @@ export class SettingsManager {
|
||||
displayEl.textContent = `${value}px`;
|
||||
}
|
||||
|
||||
const max = parseInt(element.max, 10) || 20;
|
||||
element.style.setProperty('--range-fill', (value / max * 100) + '%');
|
||||
|
||||
showToast('toast.settings.settingsUpdated', { setting: settingKey.replace(/_/g, ' ') }, 'success');
|
||||
} catch (error) {
|
||||
showToast('toast.settings.settingSaveFailed', { message: error.message }, 'error');
|
||||
@@ -2877,16 +2906,97 @@ export class SettingsManager {
|
||||
}
|
||||
}
|
||||
|
||||
// ── CivitAI API Key management ──────────────────────────────
|
||||
|
||||
updateApiKeyStatus() {
|
||||
const hasKey = !!(state.global.settings.civitai_api_key_set ||
|
||||
state.global.settings.civitai_api_key);
|
||||
const statusEl = document.getElementById('civitaiApiKeyStatus');
|
||||
const statusText = document.getElementById('civitaiApiKeyStatusText');
|
||||
const actionBtn = document.getElementById('civitaiApiKeyActionBtn');
|
||||
if (!statusText || !actionBtn) return;
|
||||
|
||||
if (hasKey) {
|
||||
statusText.classList.remove('api-key-status--unconfigured');
|
||||
statusText.classList.add('api-key-status--configured');
|
||||
statusText.innerHTML = '<i class="fas fa-check-circle text-success"></i> '
|
||||
+ translate('settings.civitaiApiKeyConfigured', {}, 'Configured');
|
||||
actionBtn.textContent = translate('common.actions.change', {}, 'Change');
|
||||
} else {
|
||||
statusText.classList.remove('api-key-status--configured');
|
||||
statusText.classList.add('api-key-status--unconfigured');
|
||||
statusText.innerHTML = '<i class="fas fa-times-circle text-error"></i> '
|
||||
+ translate('settings.civitaiApiKeyNotConfigured', {}, 'Not configured');
|
||||
actionBtn.textContent = translate('settings.civitaiApiKeySet', {}, 'Set up');
|
||||
}
|
||||
}
|
||||
|
||||
editApiKey() {
|
||||
const statusEl = document.getElementById('civitaiApiKeyStatus');
|
||||
if (statusEl) statusEl.classList.add('is-hidden');
|
||||
const editContainer = document.getElementById('civitaiApiKeyEdit');
|
||||
if (editContainer) editContainer.classList.remove('is-hidden');
|
||||
// Focus the input
|
||||
const input = document.getElementById('civitaiApiKey');
|
||||
if (input) {
|
||||
input.value = ''; // Never pre-fill the secret
|
||||
setTimeout(() => input.focus(), 50);
|
||||
}
|
||||
}
|
||||
|
||||
cancelEditApiKey(silent) {
|
||||
const editContainer = document.getElementById('civitaiApiKeyEdit');
|
||||
if (editContainer) editContainer.classList.add('is-hidden');
|
||||
const statusContainer = document.getElementById('civitaiApiKeyStatus');
|
||||
if (statusContainer) statusContainer.classList.remove('is-hidden');
|
||||
// Clear any typed value
|
||||
const input = document.getElementById('civitaiApiKey');
|
||||
if (input) input.value = '';
|
||||
if (!silent) {
|
||||
this.updateApiKeyStatus();
|
||||
}
|
||||
}
|
||||
|
||||
async saveApiKey() {
|
||||
const input = document.getElementById('civitaiApiKey');
|
||||
if (!input) return;
|
||||
|
||||
const value = input.value.trim();
|
||||
|
||||
try {
|
||||
await this.saveSetting('civitai_api_key', value);
|
||||
showToast('toast.settings.settingsUpdated',
|
||||
{ setting: 'CivitAI API Key' }, 'success');
|
||||
} catch (error) {
|
||||
showToast('toast.settings.settingSaveFailed',
|
||||
{ message: error.message }, 'error');
|
||||
return;
|
||||
}
|
||||
|
||||
// Update the in-memory flag so the UI reflects the change
|
||||
state.global.settings.civitai_api_key_set = !!value;
|
||||
this.cancelEditApiKey(true);
|
||||
this.updateApiKeyStatus();
|
||||
}
|
||||
|
||||
toggleInputVisibility(button) {
|
||||
const input = button.parentElement.querySelector('input');
|
||||
if (!input) return;
|
||||
const icon = button.querySelector('i');
|
||||
|
||||
if (input.type === 'password') {
|
||||
if (input.dataset.mask === 'css') {
|
||||
// CSS-masked input (CivitAI API key) — toggle class, not type
|
||||
input.classList.toggle('api-key-masked');
|
||||
if (icon) {
|
||||
icon.className = input.classList.contains('api-key-masked')
|
||||
? 'fas fa-eye'
|
||||
: 'fas fa-eye-slash';
|
||||
}
|
||||
} else if (input.type === 'password') {
|
||||
input.type = 'text';
|
||||
icon.className = 'fas fa-eye-slash';
|
||||
if (icon) icon.className = 'fas fa-eye-slash';
|
||||
} else {
|
||||
input.type = 'password';
|
||||
icon.className = 'fas fa-eye';
|
||||
if (icon) icon.className = 'fas fa-eye';
|
||||
}
|
||||
}
|
||||
|
||||
@@ -2942,6 +3052,14 @@ export class SettingsManager {
|
||||
const showVersionOnCard = state.global.settings.show_version_on_card !== false;
|
||||
document.body.classList.toggle('hide-card-version', !showVersionOnCard);
|
||||
|
||||
// Apply license icon style
|
||||
const useNewLicenseIcons = state.global.settings.use_new_license_icons !== false;
|
||||
document.body.classList.toggle('use-new-license-icons', useNewLicenseIcons);
|
||||
|
||||
// Apply group-by-model mode
|
||||
const groupByModel = !!state.global.settings.group_by_model;
|
||||
document.body.classList.toggle('group-by-model', groupByModel);
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
+10
-2
@@ -10,6 +10,7 @@ import { DuplicatesManager } from './components/DuplicatesManager.js';
|
||||
import { refreshVirtualScroll } from './utils/infiniteScroll.js';
|
||||
import { refreshRecipes, RecipeSidebarApiClient } from './api/recipeApi.js';
|
||||
import { sidebarManager } from './components/SidebarManager.js';
|
||||
import { initSortDropdown } from './components/controls/SortDropdown.js';
|
||||
|
||||
class RecipePageControls {
|
||||
constructor() {
|
||||
@@ -149,9 +150,10 @@ class RecipeManager {
|
||||
|
||||
_showCustomFilterIndicator() {
|
||||
const indicator = document.getElementById('customFilterIndicator');
|
||||
const textElement = document.getElementById('customFilterText');
|
||||
if (!indicator) return;
|
||||
const textElement = indicator.querySelector('.customFilterText');
|
||||
|
||||
if (!indicator || !textElement) return;
|
||||
if (!textElement) return;
|
||||
|
||||
// Update text based on filter type
|
||||
let filterText = '';
|
||||
@@ -238,6 +240,7 @@ class RecipeManager {
|
||||
// Sort select
|
||||
const sortSelect = document.getElementById('sortSelect');
|
||||
if (sortSelect) {
|
||||
initSortDropdown(sortSelect);
|
||||
sortSelect.value = this.pageState.sortBy || 'date:desc';
|
||||
sortSelect.addEventListener('change', () => {
|
||||
this.pageState.sortBy = sortSelect.value;
|
||||
@@ -250,6 +253,11 @@ class RecipeManager {
|
||||
bulkButton.addEventListener('click', () => window.bulkManager?.toggleBulkMode());
|
||||
}
|
||||
|
||||
const duplicatesButton = document.querySelector('[data-action="find-duplicates"]');
|
||||
if (duplicatesButton) {
|
||||
duplicatesButton.addEventListener('click', () => this.findDuplicateRecipes());
|
||||
}
|
||||
|
||||
const favoriteFilterBtn = document.getElementById('favoriteFilterBtn');
|
||||
if (favoriteFilterBtn) {
|
||||
favoriteFilterBtn.addEventListener('click', () => {
|
||||
|
||||
@@ -5,6 +5,7 @@ import { DEFAULT_PATH_TEMPLATES, DEFAULT_PRIORITY_TAG_CONFIG } from '../utils/co
|
||||
|
||||
const DEFAULT_SETTINGS_BASE = Object.freeze({
|
||||
civitai_api_key: '',
|
||||
civitai_api_key_set: false,
|
||||
civitai_host: 'civitai.com',
|
||||
download_backend: 'python',
|
||||
aria2c_path: '',
|
||||
@@ -43,7 +44,7 @@ const DEFAULT_SETTINGS_BASE = Object.freeze({
|
||||
include_trigger_words: false,
|
||||
compact_mode: false,
|
||||
priority_tags: { ...DEFAULT_PRIORITY_TAG_CONFIG },
|
||||
update_flag_strategy: 'same_base',
|
||||
version_grouping: 'same_base',
|
||||
hide_early_access_updates: false,
|
||||
auto_organize_exclusions: [],
|
||||
metadata_refresh_skip_paths: [],
|
||||
@@ -52,6 +53,8 @@ const DEFAULT_SETTINGS_BASE = Object.freeze({
|
||||
backup_auto_enabled: true,
|
||||
backup_retention_count: 5,
|
||||
strip_lora_on_copy: false,
|
||||
use_new_license_icons: true,
|
||||
group_by_model: false,
|
||||
});
|
||||
|
||||
export function createDefaultSettings() {
|
||||
|
||||
+128
-52
@@ -1,6 +1,8 @@
|
||||
// Statistics page functionality
|
||||
import { appCore } from './core.js';
|
||||
import { showToast } from './utils/uiHelpers.js';
|
||||
import { translate } from './utils/i18nHelpers.js';
|
||||
import { i18n } from './i18n/index.js';
|
||||
|
||||
// Chart.js import (assuming it's available globally or via CDN)
|
||||
// If Chart.js isn't available, we'll need to add it to the project
|
||||
@@ -124,43 +126,43 @@ export class StatisticsManager {
|
||||
{
|
||||
icon: 'fas fa-magic',
|
||||
value: this.data.collection.total_models,
|
||||
label: 'Total Models',
|
||||
label: translate('statistics.metrics.totalModels'),
|
||||
format: 'number'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-database',
|
||||
value: this.data.collection.total_size,
|
||||
label: 'Total Storage',
|
||||
label: translate('statistics.metrics.totalStorage'),
|
||||
format: 'size'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-play-circle',
|
||||
value: this.data.collection.total_generations,
|
||||
label: 'Total Generations',
|
||||
label: translate('statistics.metrics.totalGenerations'),
|
||||
format: 'number'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-chart-line',
|
||||
value: this.calculateUsageRate(),
|
||||
label: 'Usage Rate',
|
||||
label: translate('statistics.metrics.usageRate'),
|
||||
format: 'percentage'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-layer-group',
|
||||
value: this.data.collection.lora_count,
|
||||
label: 'LoRAs',
|
||||
label: translate('statistics.metrics.loras'),
|
||||
format: 'number'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-check-circle',
|
||||
value: this.data.collection.checkpoint_count,
|
||||
label: 'Checkpoints',
|
||||
label: translate('statistics.metrics.checkpoints'),
|
||||
format: 'number'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-code',
|
||||
value: this.data.collection.embedding_count,
|
||||
label: 'Embeddings',
|
||||
label: translate('statistics.metrics.embeddings'),
|
||||
format: 'number'
|
||||
}
|
||||
];
|
||||
@@ -189,18 +191,14 @@ export class StatisticsManager {
|
||||
case 'size':
|
||||
return this.formatFileSize(value);
|
||||
case 'percentage':
|
||||
return `${value.toFixed(1)}%`;
|
||||
return new Intl.NumberFormat(i18n.getCurrentLocale(), { style: 'percent', maximumFractionDigits: 1 }).format(value / 100);
|
||||
default:
|
||||
return value;
|
||||
}
|
||||
}
|
||||
|
||||
formatFileSize(bytes) {
|
||||
if (bytes === 0) return '0 Bytes';
|
||||
const k = 1024;
|
||||
const sizes = ['Bytes', 'KB', 'MB', 'GB', 'TB'];
|
||||
const i = Math.floor(Math.log(bytes) / Math.log(k));
|
||||
return parseFloat((bytes / Math.pow(k, i)).toFixed(1)) + ' ' + sizes[i];
|
||||
return i18n.formatFileSize(bytes);
|
||||
}
|
||||
|
||||
calculateUsageRate() {
|
||||
@@ -240,6 +238,9 @@ export class StatisticsManager {
|
||||
|
||||
// Storage efficiency chart
|
||||
this.createStorageEfficiencyChart();
|
||||
|
||||
// Model types chart (Collection tab)
|
||||
this.createModelTypesChart();
|
||||
}
|
||||
|
||||
createCollectionPieChart() {
|
||||
@@ -247,7 +248,7 @@ export class StatisticsManager {
|
||||
if (!ctx || !this.data.collection) return;
|
||||
|
||||
const data = {
|
||||
labels: ['LoRAs', 'Checkpoints', 'Embeddings'],
|
||||
labels: [translate('statistics.metrics.loras'), translate('statistics.metrics.checkpoints'), translate('statistics.metrics.embeddings')],
|
||||
datasets: [{
|
||||
data: [
|
||||
this.data.collection.lora_count,
|
||||
@@ -287,28 +288,28 @@ export class StatisticsManager {
|
||||
const checkpointData = this.data.baseModels.checkpoints;
|
||||
const embeddingData = this.data.baseModels.embeddings;
|
||||
|
||||
const allModels = new Set([
|
||||
const allModels = Array.from(new Set([
|
||||
...Object.keys(loraData),
|
||||
...Object.keys(checkpointData),
|
||||
...Object.keys(embeddingData)
|
||||
]);
|
||||
])).sort();
|
||||
|
||||
const data = {
|
||||
labels: Array.from(allModels),
|
||||
labels: allModels,
|
||||
datasets: [
|
||||
{
|
||||
label: 'LoRAs',
|
||||
data: Array.from(allModels).map(model => loraData[model] || 0),
|
||||
label: translate('statistics.metrics.loras'),
|
||||
data: allModels.map(model => loraData[model] || 0),
|
||||
backgroundColor: 'oklch(68% 0.28 256 / 0.7)'
|
||||
},
|
||||
{
|
||||
label: 'Checkpoints',
|
||||
data: Array.from(allModels).map(model => checkpointData[model] || 0),
|
||||
label: translate('statistics.metrics.checkpoints'),
|
||||
data: allModels.map(model => checkpointData[model] || 0),
|
||||
backgroundColor: 'oklch(68% 0.28 200 / 0.7)'
|
||||
},
|
||||
{
|
||||
label: 'Embeddings',
|
||||
data: Array.from(allModels).map(model => embeddingData[model] || 0),
|
||||
label: translate('statistics.metrics.embeddings'),
|
||||
data: allModels.map(model => embeddingData[model] || 0),
|
||||
backgroundColor: 'oklch(68% 0.28 120 / 0.7)'
|
||||
}
|
||||
]
|
||||
@@ -342,21 +343,21 @@ export class StatisticsManager {
|
||||
labels: timeline.map(item => new Date(item.date).toLocaleDateString()),
|
||||
datasets: [
|
||||
{
|
||||
label: 'LoRA Usage',
|
||||
label: translate('statistics.charts.loraUsage'),
|
||||
data: timeline.map(item => item.lora_usage),
|
||||
borderColor: 'oklch(68% 0.28 256)',
|
||||
backgroundColor: 'oklch(68% 0.28 256 / 0.1)',
|
||||
fill: true
|
||||
},
|
||||
{
|
||||
label: 'Checkpoint Usage',
|
||||
label: translate('statistics.charts.checkpointUsage'),
|
||||
data: timeline.map(item => item.checkpoint_usage),
|
||||
borderColor: 'oklch(68% 0.28 200)',
|
||||
backgroundColor: 'oklch(68% 0.28 200 / 0.1)',
|
||||
fill: true
|
||||
},
|
||||
{
|
||||
label: 'Embedding Usage',
|
||||
label: translate('statistics.charts.embeddingUsage'),
|
||||
data: timeline.map(item => item.embedding_usage),
|
||||
borderColor: 'oklch(68% 0.28 120)',
|
||||
backgroundColor: 'oklch(68% 0.28 120 / 0.1)',
|
||||
@@ -380,14 +381,14 @@ export class StatisticsManager {
|
||||
display: true,
|
||||
title: {
|
||||
display: true,
|
||||
text: 'Date'
|
||||
text: translate('statistics.charts.date')
|
||||
}
|
||||
},
|
||||
y: {
|
||||
display: true,
|
||||
title: {
|
||||
display: true,
|
||||
text: 'Usage Count'
|
||||
text: translate('statistics.charts.usageCount')
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -413,7 +414,7 @@ export class StatisticsManager {
|
||||
const data = {
|
||||
labels: allModels.map(model => model.name),
|
||||
datasets: [{
|
||||
label: 'Usage Count',
|
||||
label: translate('statistics.charts.usageCount'),
|
||||
data: allModels.map(model => model.usage_count),
|
||||
backgroundColor: allModels.map(model => {
|
||||
switch(model.type) {
|
||||
@@ -447,7 +448,7 @@ export class StatisticsManager {
|
||||
if (!ctx || !this.data.collection) return;
|
||||
|
||||
const data = {
|
||||
labels: ['LoRAs', 'Checkpoints', 'Embeddings'],
|
||||
labels: [translate('statistics.metrics.loras'), translate('statistics.metrics.checkpoints'), translate('statistics.metrics.embeddings')],
|
||||
datasets: [{
|
||||
data: [
|
||||
this.data.collection.lora_size,
|
||||
@@ -501,7 +502,7 @@ export class StatisticsManager {
|
||||
|
||||
const data = {
|
||||
datasets: [{
|
||||
label: 'Models',
|
||||
label: translate('statistics.charts.models'),
|
||||
data: allData.map(item => ({
|
||||
x: item.size,
|
||||
y: item.usage_count,
|
||||
@@ -529,14 +530,14 @@ export class StatisticsManager {
|
||||
x: {
|
||||
title: {
|
||||
display: true,
|
||||
text: 'File Size (bytes)'
|
||||
text: translate('statistics.charts.fileSizeBytes')
|
||||
},
|
||||
type: 'logarithmic'
|
||||
},
|
||||
y: {
|
||||
title: {
|
||||
display: true,
|
||||
text: 'Usage Count'
|
||||
text: translate('statistics.charts.usageCount')
|
||||
}
|
||||
}
|
||||
},
|
||||
@@ -545,7 +546,69 @@ export class StatisticsManager {
|
||||
callbacks: {
|
||||
label: (context) => {
|
||||
const point = context.raw;
|
||||
return `${point.name}: ${this.formatFileSize(point.x)}, ${point.y} uses`;
|
||||
return translate('statistics.tooltips.chartUsage', { name: point.name, size: this.formatFileSize(point.x), count: point.y });
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
});
|
||||
}
|
||||
|
||||
createModelTypesChart() {
|
||||
const ctx = document.getElementById('modelTypesChart');
|
||||
if (!ctx || !this.data.collection || !this.data.collection.model_types_distribution) return;
|
||||
|
||||
const distribution = this.data.collection.model_types_distribution;
|
||||
const typeDisplayNames = {
|
||||
lora: translate('statistics.modelTypes.lora'),
|
||||
locon: translate('statistics.modelTypes.locon'),
|
||||
dora: translate('statistics.modelTypes.dora'),
|
||||
checkpoint: translate('statistics.modelTypes.checkpoint'),
|
||||
diffusion_model: translate('statistics.modelTypes.diffusion_model'),
|
||||
embedding: translate('statistics.modelTypes.embedding')
|
||||
};
|
||||
|
||||
const colorPalette = {
|
||||
lora: 'oklch(68% 0.28 256)',
|
||||
locon: 'oklch(68% 0.25 190)',
|
||||
dora: 'oklch(68% 0.25 330)',
|
||||
checkpoint: 'oklch(68% 0.28 45)',
|
||||
diffusion_model: 'oklch(68% 0.25 280)',
|
||||
embedding: 'oklch(68% 0.25 120)'
|
||||
};
|
||||
|
||||
const labels = Object.keys(distribution).map(k => typeDisplayNames[k] || k);
|
||||
const values = Object.values(distribution);
|
||||
const colors = Object.keys(distribution).map(k => colorPalette[k] || 'oklch(68% 0.15 0)');
|
||||
|
||||
const data = {
|
||||
labels: labels,
|
||||
datasets: [{
|
||||
data: values,
|
||||
backgroundColor: colors,
|
||||
borderColor: getComputedStyle(document.documentElement).getPropertyValue('--border-color'),
|
||||
borderWidth: 2
|
||||
}]
|
||||
};
|
||||
|
||||
this.charts.modelTypes = new Chart(ctx, {
|
||||
type: 'doughnut',
|
||||
data: data,
|
||||
options: {
|
||||
responsive: true,
|
||||
maintainAspectRatio: false,
|
||||
plugins: {
|
||||
legend: {
|
||||
position: 'bottom'
|
||||
},
|
||||
tooltip: {
|
||||
callbacks: {
|
||||
label: (context) => {
|
||||
const total = context.dataset.data.reduce((a, b) => a + b, 0);
|
||||
const value = context.parsed;
|
||||
const pct = ((value / total) * 100).toFixed(1);
|
||||
return translate('statistics.tooltips.chartPercentage', { label: context.label, value, pct });
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -589,7 +652,7 @@ export class StatisticsManager {
|
||||
|
||||
// Show loading indicator on initial load
|
||||
if (state.offset === 0) {
|
||||
container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-spinner fa-spin"></i> Loading...</div>';
|
||||
container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-spinner fa-spin"></i> ' + translate('statistics.placeholders.loading') + '</div>';
|
||||
}
|
||||
|
||||
try {
|
||||
@@ -605,7 +668,7 @@ export class StatisticsManager {
|
||||
}
|
||||
|
||||
if (items.length === 0 && state.offset === 0) {
|
||||
container.innerHTML = '<div class="loading-placeholder">No models found</div>';
|
||||
container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.placeholders.noModels') + '</div>';
|
||||
state.hasMore = false;
|
||||
} else if (items.length < state.limit) {
|
||||
state.hasMore = false;
|
||||
@@ -618,7 +681,7 @@ export class StatisticsManager {
|
||||
onerror="this.src='/loras_static/images/no-preview.png'">
|
||||
<div class="model-info">
|
||||
<div class="model-name" title="${model.name}">${model.name}</div>
|
||||
<div class="model-meta">${model.base_model} • ${model.folder || 'Root'}</div>
|
||||
<div class="model-meta">${model.base_model} • ${model.folder || translate('statistics.placeholders.rootFolder')}</div>
|
||||
</div>
|
||||
<div class="model-usage">${model.usage_count}</div>
|
||||
</div>
|
||||
@@ -630,7 +693,7 @@ export class StatisticsManager {
|
||||
} catch (error) {
|
||||
console.error(`Error loading ${type} list:`, error);
|
||||
if (state.offset === 0) {
|
||||
container.innerHTML = '<div class="loading-placeholder">Error loading data</div>';
|
||||
container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.placeholders.errorLoading') + '</div>';
|
||||
}
|
||||
} finally {
|
||||
state.isLoading = false;
|
||||
@@ -653,7 +716,7 @@ export class StatisticsManager {
|
||||
].sort((a, b) => b.size - a.size).slice(0, 10);
|
||||
|
||||
if (allModels.length === 0) {
|
||||
container.innerHTML = '<div class="loading-placeholder">No storage data available</div>';
|
||||
container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.placeholders.noStorageData') + '</div>';
|
||||
return;
|
||||
}
|
||||
|
||||
@@ -661,7 +724,7 @@ export class StatisticsManager {
|
||||
<div class="model-item">
|
||||
<div class="model-info">
|
||||
<div class="model-name" title="${model.name}">${model.name}</div>
|
||||
<div class="model-meta">${model.type} • ${model.base_model}</div>
|
||||
<div class="model-meta">${translate('statistics.modelTypes.' + model.type.toLowerCase())} • ${model.base_model}</div>
|
||||
</div>
|
||||
<div class="model-usage">${this.formatFileSize(model.size)}</div>
|
||||
</div>
|
||||
@@ -679,7 +742,7 @@ export class StatisticsManager {
|
||||
const size = Math.ceil((tagData.count / maxCount) * 5);
|
||||
return `
|
||||
<span class="tag-cloud-item size-${size}"
|
||||
title="${tagData.tag}: ${tagData.count} models">
|
||||
title="${translate('statistics.tooltips.tagCount', { tag: tagData.tag, count: tagData.count })}">
|
||||
${tagData.tag}
|
||||
</span>
|
||||
`;
|
||||
@@ -693,17 +756,30 @@ export class StatisticsManager {
|
||||
const insights = this.data.insights.insights;
|
||||
|
||||
if (insights.length === 0) {
|
||||
container.innerHTML = '<div class="loading-placeholder">No insights available</div>';
|
||||
container.innerHTML = '<div class="loading-placeholder">' + translate('statistics.insights.noInsights') + '</div>';
|
||||
return;
|
||||
}
|
||||
|
||||
container.innerHTML = insights.map(insight => `
|
||||
container.innerHTML = insights.map(insight => {
|
||||
const params = insight.params || {};
|
||||
let title, description, suggestion;
|
||||
if (insight.key) {
|
||||
title = translate('statistics.' + insight.key + '.title', params);
|
||||
description = translate('statistics.' + insight.key + '.description', params);
|
||||
suggestion = translate('statistics.' + insight.key + '.suggestion', params);
|
||||
} else {
|
||||
// Backward compatibility for insights without key/params
|
||||
title = insight.title || '';
|
||||
description = insight.description || '';
|
||||
suggestion = insight.suggestion || '';
|
||||
}
|
||||
return `
|
||||
<div class="insight-card type-${insight.type}">
|
||||
<div class="insight-title">${insight.title}</div>
|
||||
<div class="insight-description">${insight.description}</div>
|
||||
<div class="insight-suggestion">${insight.suggestion}</div>
|
||||
<div class="insight-title">${title}</div>
|
||||
<div class="insight-description">${description}</div>
|
||||
<div class="insight-suggestion">${suggestion}</div>
|
||||
</div>
|
||||
`).join('');
|
||||
`}).join('');
|
||||
|
||||
// Render collection analysis cards
|
||||
this.renderCollectionAnalysis();
|
||||
@@ -717,25 +793,25 @@ export class StatisticsManager {
|
||||
{
|
||||
icon: 'fas fa-percentage',
|
||||
value: this.calculateUsageRate(),
|
||||
label: 'Usage Rate',
|
||||
label: translate('statistics.metrics.usageRate'),
|
||||
format: 'percentage'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-tags',
|
||||
value: this.data.tags?.total_unique_tags || 0,
|
||||
label: 'Unique Tags',
|
||||
label: translate('statistics.metrics.uniqueTags'),
|
||||
format: 'number'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-clock',
|
||||
value: this.data.collection.unused_loras + this.data.collection.unused_checkpoints,
|
||||
label: 'Unused Models',
|
||||
label: translate('statistics.metrics.unusedModels'),
|
||||
format: 'number'
|
||||
},
|
||||
{
|
||||
icon: 'fas fa-chart-line',
|
||||
value: this.calculateAverageUsage(),
|
||||
label: 'Avg. Uses/Model',
|
||||
label: translate('statistics.metrics.avgUsesPerModel'),
|
||||
format: 'decimal'
|
||||
}
|
||||
];
|
||||
@@ -764,7 +840,7 @@ export class StatisticsManager {
|
||||
const chartCanvases = document.querySelectorAll('canvas');
|
||||
chartCanvases.forEach(canvas => {
|
||||
const container = canvas.parentElement;
|
||||
container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-chart-bar"></i> Chart requires Chart.js library</div>';
|
||||
container.innerHTML = '<div class="loading-placeholder"><i class="fas fa-chart-bar"></i> ' + translate('statistics.placeholders.chartLibraryMissing') + '</div>';
|
||||
});
|
||||
}
|
||||
|
||||
|
||||
@@ -657,6 +657,9 @@ export class VirtualScroller {
|
||||
this.resizeObserver.disconnect();
|
||||
}
|
||||
|
||||
// Remove any active grid loading overlay
|
||||
this.hideGridLoading();
|
||||
|
||||
// Remove rendered elements
|
||||
this.clearRenderedItems();
|
||||
|
||||
@@ -931,6 +934,38 @@ export class VirtualScroller {
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* Remove multiple items by their file paths.
|
||||
* More efficient than calling removeItemByFilePath individually.
|
||||
* @param {string[]} filePaths - Array of file paths to remove
|
||||
* @returns {boolean} - True if any items were removed
|
||||
*/
|
||||
removeMultipleItemsByFilePath(filePaths) {
|
||||
if (!Array.isArray(filePaths) || filePaths.length === 0 || this.disabled || this.items.length === 0) return false;
|
||||
|
||||
// Build a set for fast lookup
|
||||
const pathsToRemove = new Set(filePaths);
|
||||
const originalLength = this.items.length;
|
||||
|
||||
// Filter out removed items; keep those not in the set
|
||||
this.items = this.items.filter(item => !pathsToRemove.has(item.file_path));
|
||||
|
||||
const removedCount = originalLength - this.items.length;
|
||||
if (removedCount === 0) return false;
|
||||
|
||||
this.totalItems = Math.max(0, this.totalItems - removedCount);
|
||||
|
||||
// Update the spacer height
|
||||
this.updateSpacerHeight();
|
||||
|
||||
// Re-render to fill gaps left by removed items
|
||||
this.clearRenderedItems();
|
||||
this.scheduleRender();
|
||||
|
||||
console.log(`Removed ${removedCount} items from virtual scroller data`);
|
||||
return true;
|
||||
}
|
||||
|
||||
// Add keyboard navigation methods
|
||||
handlePageUpDown(direction) {
|
||||
// Prevent duplicate animations by checking last trigger time
|
||||
@@ -1098,4 +1133,30 @@ export class VirtualScroller {
|
||||
index: targetIndex
|
||||
};
|
||||
}
|
||||
|
||||
/**
|
||||
* Show a grid-scoped loading indicator (replaces full-page overlay)
|
||||
* Only covers the card grid area, leaving header/sidebar unaffected.
|
||||
*/
|
||||
showGridLoading() {
|
||||
// Remove any stale overlay from a prior deferred hide (e.g. from final rAF)
|
||||
this.hideGridLoading();
|
||||
const overlay = document.createElement('div');
|
||||
overlay.className = 'grid-loading-overlay';
|
||||
const spinner = document.createElement('div');
|
||||
spinner.className = 'loading-spinner';
|
||||
overlay.appendChild(spinner);
|
||||
this.gridElement.appendChild(overlay);
|
||||
this.gridLoadingOverlay = overlay;
|
||||
}
|
||||
|
||||
/**
|
||||
* Hide the grid-scoped loading indicator.
|
||||
*/
|
||||
hideGridLoading() {
|
||||
if (this.gridLoadingOverlay) {
|
||||
this.gridLoadingOverlay.remove();
|
||||
this.gridLoadingOverlay = null;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,296 @@
|
||||
/**
|
||||
* genParamsMapper.js
|
||||
* Maps display/recipe generation parameter values (sampler, scheduler) to
|
||||
* ComfyUI internal widget values, enabling "Send Gen Params to Workflow".
|
||||
*
|
||||
* Strategy (3 layers):
|
||||
* 1. Direct lookup via SAMPLER_DISPLAY_TO_INTERNAL
|
||||
* 2. Combined-name parsing (e.g. "Euler a Karras" → sampler + scheduler)
|
||||
* 3. Graceful skip for model-specific / unrecognized values
|
||||
*/
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Sampler display name → internal name (ComfyUI KSampler.SAMPLERS / SAMPLER_NAMES)
|
||||
// ---------------------------------------------------------------------------
|
||||
const SAMPLER_DISPLAY_TO_INTERNAL = {
|
||||
// --- Euler family ---
|
||||
'Euler': 'euler',
|
||||
'euler': 'euler',
|
||||
'Euler a': 'euler_ancestral',
|
||||
'Euler A': 'euler_ancestral',
|
||||
'Euler ancestral': 'euler_ancestral',
|
||||
'Euler Ancestral': 'euler_ancestral',
|
||||
'euler_ancestral': 'euler_ancestral',
|
||||
|
||||
// --- Heun ---
|
||||
'Heun': 'heun',
|
||||
'heun': 'heun',
|
||||
'Heun++': 'heunpp2',
|
||||
'heunpp2': 'heunpp2',
|
||||
|
||||
// --- DPM2 ---
|
||||
'DPM2': 'dpm_2',
|
||||
'DPM 2': 'dpm_2',
|
||||
'dpm_2': 'dpm_2',
|
||||
'DPM2 a': 'dpm_2_ancestral',
|
||||
'DPM2 Ancestral': 'dpm_2_ancestral',
|
||||
'dpm_2_ancestral': 'dpm_2_ancestral',
|
||||
|
||||
// --- LMS ---
|
||||
'LMS': 'lms',
|
||||
'lms': 'lms',
|
||||
|
||||
// --- DPM fast / adaptive ---
|
||||
'DPM fast': 'dpm_fast',
|
||||
'DPM Fast': 'dpm_fast',
|
||||
'dpm_fast': 'dpm_fast',
|
||||
'DPM adaptive': 'dpm_adaptive',
|
||||
'DPM Adaptive': 'dpm_adaptive',
|
||||
'dpm_adaptive': 'dpm_adaptive',
|
||||
|
||||
// --- DPM++ 2S ancestral ---
|
||||
'DPM++ 2S a': 'dpmpp_2s_ancestral',
|
||||
'DPM++ 2S A': 'dpmpp_2s_ancestral',
|
||||
'DPM++ 2S Ancestral': 'dpmpp_2s_ancestral',
|
||||
'dpmpp_2s_ancestral': 'dpmpp_2s_ancestral',
|
||||
|
||||
// --- DPM++ SDE ---
|
||||
'DPM++ SDE': 'dpmpp_sde',
|
||||
'dpmpp_sde': 'dpmpp_sde',
|
||||
|
||||
// --- DPM++ 2M ---
|
||||
'DPM++ 2M': 'dpmpp_2m',
|
||||
'dpmpp_2m': 'dpmpp_2m',
|
||||
|
||||
// --- DPM++ 2M SDE ---
|
||||
'DPM++ 2M SDE': 'dpmpp_2m_sde',
|
||||
'dpmpp_2m_sde': 'dpmpp_2m_sde',
|
||||
|
||||
// --- DPM++ 3M SDE ---
|
||||
'DPM++ 3M SDE': 'dpmpp_3m_sde',
|
||||
'dpmpp_3m_sde': 'dpmpp_3m_sde',
|
||||
|
||||
// --- Others ---
|
||||
'DDIM': 'ddim',
|
||||
'ddim': 'ddim',
|
||||
'DDPM': 'ddpm',
|
||||
'ddpm': 'ddpm',
|
||||
'LCM': 'lcm',
|
||||
'lcm': 'lcm',
|
||||
'IPNDM': 'ipndm',
|
||||
'ipndm': 'ipndm',
|
||||
'DEIS': 'deis',
|
||||
'deis': 'deis',
|
||||
'UniPC': 'uni_pc',
|
||||
'unipc': 'uni_pc',
|
||||
'uni_pc': 'uni_pc',
|
||||
|
||||
// --- Restart / res_multistep ---
|
||||
'Restart': 'res_multistep',
|
||||
'res_multistep': 'res_multistep',
|
||||
|
||||
// --- ER SDE ---
|
||||
'ER SDE': 'er_sde',
|
||||
'E-R SDE': 'er_sde',
|
||||
'er_sde': 'er_sde',
|
||||
|
||||
// --- SA Solver ---
|
||||
'SA Solver': 'sa_solver',
|
||||
'SA solver': 'sa_solver',
|
||||
'sa_solver': 'sa_solver',
|
||||
|
||||
// --- Seeds ---
|
||||
'Seeds 2': 'seeds_2',
|
||||
'seeds_2': 'seeds_2',
|
||||
'Seeds 3': 'seeds_3',
|
||||
'seeds_3': 'seeds_3',
|
||||
};
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Known scheduler suffixes (ComfyUI KSampler.SCHEDULERS)
|
||||
// Sorted by length (descending) for longest-match-first parsing.
|
||||
// ---------------------------------------------------------------------------
|
||||
const SCHEDULER_SUFFIXES = [
|
||||
'sgm_uniform',
|
||||
'ddim_uniform',
|
||||
'linear_quadratic',
|
||||
'kl_optimal',
|
||||
'exponential',
|
||||
'karras',
|
||||
'simple',
|
||||
'normal',
|
||||
'beta',
|
||||
];
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Scheduler-only values (values that are schedulers, not samplers)
|
||||
// ---------------------------------------------------------------------------
|
||||
const SCHEDULER_ONLY_VALUES = new Set([
|
||||
'simple', 'sgm_uniform', 'karras', 'exponential',
|
||||
'ddim_uniform', 'beta', 'normal', 'linear_quadratic', 'kl_optimal',
|
||||
]);
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Param key → widget name candidates (searched in order)
|
||||
// ---------------------------------------------------------------------------
|
||||
const PARAM_TO_WIDGET_CANDIDATES = {
|
||||
seed: ['seed', 'noise_seed'],
|
||||
steps: ['steps'],
|
||||
cfg: ['cfg'],
|
||||
sampler: ['sampler_name', 'sampler'],
|
||||
scheduler: ['scheduler'],
|
||||
};
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Parse a combined sampler+scheduler value (space-separated or underscore)
|
||||
// e.g., "Euler a Karras", "DPM++ 2M beta", "er_sde_beta"
|
||||
// Returns { sampler: internalName|null, scheduler: internalName|null } or null
|
||||
// ---------------------------------------------------------------------------
|
||||
function parseCombinedSamplerName(rawValue) {
|
||||
if (!rawValue || typeof rawValue !== 'string') return null;
|
||||
const trimmed = rawValue.trim();
|
||||
if (!trimmed) return null;
|
||||
|
||||
// Try space-separated first: split on last space
|
||||
const spaceIdx = trimmed.lastIndexOf(' ');
|
||||
if (spaceIdx > 0) {
|
||||
const candidateScheduler = trimmed.slice(spaceIdx + 1).trim().toLowerCase();
|
||||
if (SCHEDULER_SUFFIXES.includes(candidateScheduler)) {
|
||||
const samplerPart = trimmed.slice(0, spaceIdx).trim();
|
||||
const internalSampler = SAMPLER_DISPLAY_TO_INTERNAL[samplerPart];
|
||||
if (internalSampler) {
|
||||
return { sampler: internalSampler, scheduler: candidateScheduler };
|
||||
}
|
||||
// samplerPart might be a combined name itself (e.g., "DPM++ 2M SDE")
|
||||
// Try recursing (one level max) — already handled since we split at last space
|
||||
}
|
||||
}
|
||||
|
||||
// Try underscore-separated: e.g., "er_sde_beta"
|
||||
const underIdx = trimmed.lastIndexOf('_');
|
||||
if (underIdx > 0) {
|
||||
const candidateScheduler = trimmed.slice(underIdx + 1).trim().toLowerCase();
|
||||
if (SCHEDULER_SUFFIXES.includes(candidateScheduler)) {
|
||||
const samplerPart = trimmed.slice(0, underIdx).trim();
|
||||
const internalSampler = SAMPLER_DISPLAY_TO_INTERNAL[samplerPart] || SAMPLER_DISPLAY_TO_INTERNAL[samplerPart.toLowerCase()];
|
||||
if (internalSampler) {
|
||||
return { sampler: internalSampler, scheduler: candidateScheduler };
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Main resolver: takes a raw sampler value from recipe/showcase metadata
|
||||
// and returns { sampler: internalName|null, scheduler: internalName|null }
|
||||
// ---------------------------------------------------------------------------
|
||||
function resolveSamplerScheduler(rawValue) {
|
||||
if (!rawValue || typeof rawValue !== 'string') {
|
||||
return { sampler: null, scheduler: null };
|
||||
}
|
||||
|
||||
const trimmed = rawValue.trim();
|
||||
if (!trimmed) return { sampler: null, scheduler: null };
|
||||
|
||||
// 1. Try direct lookup first
|
||||
const direct = SAMPLER_DISPLAY_TO_INTERNAL[trimmed];
|
||||
if (direct) return { sampler: direct, scheduler: null };
|
||||
|
||||
// 2. Try lowercase direct lookup
|
||||
const lowerDirect = SAMPLER_DISPLAY_TO_INTERNAL[trimmed.toLowerCase()];
|
||||
if (lowerDirect) return { sampler: lowerDirect, scheduler: null };
|
||||
|
||||
// 3. Scheduler-only value? (check BEFORE the "already internal name" regex,
|
||||
// because scheduler values like "karras", "simple" also match that pattern)
|
||||
if (SCHEDULER_ONLY_VALUES.has(trimmed.toLowerCase())) {
|
||||
return { sampler: null, scheduler: trimmed.toLowerCase() };
|
||||
}
|
||||
|
||||
// 4. Already an internal name? (lowercase, no spaces)
|
||||
if (/^[a-z][a-z0-9_]+$/.test(trimmed)) {
|
||||
return { sampler: trimmed, scheduler: null };
|
||||
}
|
||||
|
||||
// 5. Try combined name parsing (space-separated or underscore)
|
||||
const combined = parseCombinedSamplerName(trimmed);
|
||||
if (combined) return combined;
|
||||
|
||||
// 6. Custom format like "multistep/dpmpp_2m_simple" — try extracting the last segment
|
||||
if (trimmed.includes('/')) {
|
||||
const parts = trimmed.split('/');
|
||||
const last = parts[parts.length - 1];
|
||||
if (last) {
|
||||
const subResult = resolveSamplerScheduler(last);
|
||||
if (subResult.sampler || subResult.scheduler) return subResult;
|
||||
}
|
||||
}
|
||||
|
||||
// 7. Unrecognized — return null for both
|
||||
return { sampler: null, scheduler: null };
|
||||
}
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Find which gen params can be sent to a given node, matching by widget names
|
||||
// Returns array of { widgetName, value } objects
|
||||
// ---------------------------------------------------------------------------
|
||||
function findMatchingWidgets(nodeWidgetNames, resolvedParams) {
|
||||
if (!nodeWidgetNames || !Array.isArray(nodeWidgetNames) || nodeWidgetNames.length === 0) {
|
||||
return [];
|
||||
}
|
||||
|
||||
const widgetSet = new Set(nodeWidgetNames.map(w => String(w).toLowerCase()));
|
||||
const updates = [];
|
||||
|
||||
// Simple numeric/string params: seed, steps, cfg
|
||||
const simpleParams = [
|
||||
{ key: 'seed', value: resolvedParams.seed },
|
||||
{ key: 'steps', value: resolvedParams.steps },
|
||||
{ key: 'cfg', value: resolvedParams.cfg },
|
||||
];
|
||||
for (const { key, value } of simpleParams) {
|
||||
if (value === undefined || value === null || value === '') continue;
|
||||
const candidates = PARAM_TO_WIDGET_CANDIDATES[key] || [key];
|
||||
for (const candidate of candidates) {
|
||||
if (widgetSet.has(candidate.toLowerCase())) {
|
||||
updates.push({ widgetName: candidate, value: String(value) });
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Sampler
|
||||
if (resolvedParams.sampler) {
|
||||
const candidates = PARAM_TO_WIDGET_CANDIDATES.sampler;
|
||||
for (const candidate of candidates) {
|
||||
if (widgetSet.has(candidate.toLowerCase())) {
|
||||
updates.push({ widgetName: candidate, value: resolvedParams.sampler });
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Scheduler
|
||||
if (resolvedParams.scheduler) {
|
||||
const candidates = PARAM_TO_WIDGET_CANDIDATES.scheduler;
|
||||
for (const candidate of candidates) {
|
||||
if (widgetSet.has(candidate.toLowerCase())) {
|
||||
updates.push({ widgetName: candidate, value: resolvedParams.scheduler });
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return updates;
|
||||
}
|
||||
|
||||
export {
|
||||
SAMPLER_DISPLAY_TO_INTERNAL,
|
||||
SCHEDULER_SUFFIXES,
|
||||
SCHEDULER_ONLY_VALUES,
|
||||
PARAM_TO_WIDGET_CANDIDATES,
|
||||
parseCombinedSamplerName,
|
||||
resolveSamplerScheduler,
|
||||
findMatchingWidgets,
|
||||
};
|
||||
+244
-25
@@ -6,6 +6,7 @@ import { eventManager } from './EventManager.js';
|
||||
import { bannerService } from '../managers/BannerService.js';
|
||||
import { modalManager } from '../managers/ModalManager.js';
|
||||
import { buildCivitaiUrl, normalizeCivitaiPageHost } from './civitaiUtils.js';
|
||||
import { resolveSamplerScheduler, findMatchingWidgets } from './genParamsMapper.js';
|
||||
|
||||
const CIVITAI_HOST_INFO_BANNER_ID = 'civitai-host-preference';
|
||||
const CIVITAI_HOST_INFO_BANNER_SEEN_KEY = 'civitai_host_info_banner_seen';
|
||||
@@ -197,11 +198,22 @@ export function restoreFolderFilter() {
|
||||
}
|
||||
}
|
||||
|
||||
const CYCLE_ORDER = ['auto', 'light', 'dark'];
|
||||
const PRESET_NAMES = ['default', 'nord', 'midnight', 'monokai', 'dracula', 'solarized'];
|
||||
|
||||
export { CYCLE_ORDER, PRESET_NAMES };
|
||||
|
||||
export function initTheme() {
|
||||
const savedTheme = getStorageItem('theme') || 'auto';
|
||||
// Migrate deprecated presets
|
||||
let savedPreset = getStorageItem('theme_preset');
|
||||
if (savedPreset === 'gruvbox') {
|
||||
savedPreset = 'midnight';
|
||||
setStorageItem('theme_preset', 'midnight');
|
||||
}
|
||||
applyTheme(savedTheme);
|
||||
applyPreset(savedPreset || 'default');
|
||||
|
||||
// Update theme when system preference changes (for 'auto' mode)
|
||||
window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', () => {
|
||||
const currentTheme = getStorageItem('theme') || 'auto';
|
||||
if (currentTheme === 'auto') {
|
||||
@@ -212,34 +224,44 @@ export function initTheme() {
|
||||
|
||||
export function toggleTheme() {
|
||||
const currentTheme = getStorageItem('theme') || 'auto';
|
||||
let newTheme;
|
||||
|
||||
if (currentTheme === 'light') {
|
||||
newTheme = 'dark';
|
||||
} else {
|
||||
newTheme = 'light';
|
||||
}
|
||||
const currentIndex = CYCLE_ORDER.indexOf(currentTheme);
|
||||
const nextIndex = (currentIndex + 1) % CYCLE_ORDER.length;
|
||||
const newTheme = CYCLE_ORDER[nextIndex];
|
||||
|
||||
setStorageItem('theme', newTheme);
|
||||
applyTheme(newTheme);
|
||||
|
||||
// Force a repaint to ensure theme changes are applied immediately
|
||||
document.body.style.display = 'none';
|
||||
document.body.offsetHeight; // Trigger a reflow
|
||||
document.body.offsetHeight;
|
||||
document.body.style.display = '';
|
||||
|
||||
return newTheme;
|
||||
}
|
||||
|
||||
// Add a new helper function to apply the theme
|
||||
export function cyclePreset() {
|
||||
const currentPreset = getStorageItem('theme_preset') || 'default';
|
||||
const currentIndex = PRESET_NAMES.indexOf(currentPreset);
|
||||
const nextIndex = (currentIndex + 1) % PRESET_NAMES.length;
|
||||
const newPreset = PRESET_NAMES[nextIndex];
|
||||
|
||||
setStorageItem('theme_preset', newPreset);
|
||||
applyPreset(newPreset);
|
||||
|
||||
return newPreset;
|
||||
}
|
||||
|
||||
export function setPreset(name) {
|
||||
if (!PRESET_NAMES.includes(name)) return;
|
||||
setStorageItem('theme_preset', name);
|
||||
applyPreset(name);
|
||||
}
|
||||
|
||||
function applyTheme(theme) {
|
||||
const prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches;
|
||||
const htmlElement = document.documentElement;
|
||||
|
||||
// Remove any existing theme attributes
|
||||
htmlElement.removeAttribute('data-theme');
|
||||
|
||||
// Apply the appropriate theme
|
||||
if (theme === 'dark' || (theme === 'auto' && prefersDark)) {
|
||||
htmlElement.setAttribute('data-theme', 'dark');
|
||||
document.body.dataset.theme = 'dark';
|
||||
@@ -248,19 +270,18 @@ function applyTheme(theme) {
|
||||
document.body.dataset.theme = 'light';
|
||||
}
|
||||
|
||||
// Update the theme-toggle icon state
|
||||
updateThemeToggleIcons(theme);
|
||||
}
|
||||
|
||||
// New function to update theme toggle icons
|
||||
function applyPreset(preset) {
|
||||
document.documentElement.setAttribute('data-theme-preset', preset);
|
||||
}
|
||||
|
||||
function updateThemeToggleIcons(theme) {
|
||||
const themeToggle = document.querySelector('.theme-toggle');
|
||||
if (!themeToggle) return;
|
||||
|
||||
// Remove any existing active classes
|
||||
themeToggle.classList.remove('theme-light', 'theme-dark', 'theme-auto');
|
||||
|
||||
// Add the appropriate class based on current theme
|
||||
themeToggle.classList.add(`theme-${theme}`);
|
||||
}
|
||||
|
||||
@@ -498,6 +519,22 @@ export function copyLoraSyntax(card) {
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Strip <lora:...> tags from prompt text and clean up residual punctuation/whitespace.
|
||||
* Handles both unescaped (<lora:...>) and HTML-escaped (<lora:...>) variants.
|
||||
* Cleans up artifacts like leading ", ", double commas, and extra whitespace.
|
||||
*/
|
||||
export function stripLoraTags(text) {
|
||||
return text
|
||||
.replace(/<lora:[^>]*>/gi, '')
|
||||
.replace(/<lora:[^&]*>/gi, '')
|
||||
.replace(/,(\s*,)+/g, ',')
|
||||
.replace(/^,\s*/, '')
|
||||
.replace(/,\s*$/, '')
|
||||
.replace(/\s{2,}/g, ' ')
|
||||
.trim();
|
||||
}
|
||||
|
||||
async function fetchWorkflowRegistry() {
|
||||
try {
|
||||
const response = await fetch('/api/lm/get-registry');
|
||||
@@ -820,11 +857,12 @@ async function sendWidgetValueToNodes(nodeIds, nodesMap, widgetName, value, mess
|
||||
successMessage = 'Updated workflow node',
|
||||
failureMessage = 'Failed to update workflow node',
|
||||
missingTargetMessage = 'No target node selected',
|
||||
silent = false,
|
||||
} = messages;
|
||||
|
||||
const targetIds = Array.isArray(nodeIds) ? nodeIds : [];
|
||||
if (targetIds.length === 0) {
|
||||
showToast(missingTargetMessage, {}, 'warning');
|
||||
if (!silent) showToast(missingTargetMessage, {}, 'warning');
|
||||
return false;
|
||||
}
|
||||
|
||||
@@ -833,7 +871,7 @@ async function sendWidgetValueToNodes(nodeIds, nodesMap, widgetName, value, mess
|
||||
.filter((reference) => reference && reference.node_id !== undefined);
|
||||
|
||||
if (references.length === 0) {
|
||||
showToast(missingTargetMessage, {}, 'warning');
|
||||
if (!silent) showToast(missingTargetMessage, {}, 'warning');
|
||||
return false;
|
||||
}
|
||||
|
||||
@@ -852,16 +890,16 @@ async function sendWidgetValueToNodes(nodeIds, nodesMap, widgetName, value, mess
|
||||
|
||||
const result = await response.json();
|
||||
if (result.success) {
|
||||
showToast(successMessage, {}, 'success');
|
||||
if (!silent) showToast(successMessage, {}, 'success');
|
||||
return true;
|
||||
}
|
||||
|
||||
const errorMessage = result?.error || failureMessage;
|
||||
showToast(errorMessage, {}, 'error');
|
||||
if (!silent) showToast(errorMessage, {}, 'error');
|
||||
return false;
|
||||
} catch (error) {
|
||||
console.error('Failed to send widget value to workflow:', error);
|
||||
showToast(failureMessage, {}, 'error');
|
||||
if (!silent) showToast(failureMessage, {}, 'error');
|
||||
return false;
|
||||
}
|
||||
}
|
||||
@@ -895,7 +933,7 @@ async function sendTextToNodes(nodeIds, nodesMap, text, mode, messages = {}) {
|
||||
'Content-Type': 'application/json',
|
||||
},
|
||||
body: JSON.stringify({
|
||||
widget_name: 'text',
|
||||
action: 'inject_text',
|
||||
value: text,
|
||||
mode: mode || 'append',
|
||||
node_ids: references,
|
||||
@@ -928,7 +966,10 @@ export async function sendEmbeddingToWorkflow(embeddingCode) {
|
||||
if (!isNodeEnabled(node)) {
|
||||
return false;
|
||||
}
|
||||
return node.capabilities?.has_text_widget === true;
|
||||
return (
|
||||
node.capabilities?.has_text_widget === true ||
|
||||
node.marker_role === "send_prompt_target"
|
||||
);
|
||||
});
|
||||
|
||||
const nodeKeys = Object.keys(textNodes);
|
||||
@@ -960,6 +1001,184 @@ export async function sendEmbeddingToWorkflow(embeddingCode) {
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* Send prompt text to workflow text-capable nodes (replaces existing content).
|
||||
* Uses the same target node discovery as sendEmbeddingToWorkflow.
|
||||
* @param {string} promptText - The prompt/negative prompt text to send
|
||||
* @param {Object} [options] - Optional messages overrides
|
||||
* @param {string} [options.actionTypeText] - Label for the action type (default "Prompt")
|
||||
* @param {string} [options.successMessage] - Success toast message
|
||||
* @param {string} [options.failureMessage] - Failure toast message
|
||||
* @param {string} [options.missingNodesMessage] - No nodes warning message
|
||||
* @param {string} [options.missingTargetMessage] - No target selected warning message
|
||||
* @returns {Promise<boolean>} Whether the send succeeded
|
||||
*/
|
||||
export async function sendPromptToWorkflow(promptText, options = {}) {
|
||||
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 ||
|
||||
node.marker_role === "send_prompt_target"
|
||||
);
|
||||
});
|
||||
|
||||
const nodeKeys = Object.keys(textNodes);
|
||||
if (nodeKeys.length === 0) {
|
||||
showToast(options.missingNodesMessage || 'uiHelpers.workflow.noMatchingNodes', {}, 'warning');
|
||||
return false;
|
||||
}
|
||||
|
||||
const messages = {
|
||||
successMessage: options.successMessage || translate('uiHelpers.workflow.promptSent', {}, 'Prompt sent to workflow'),
|
||||
failureMessage: options.failureMessage || translate('uiHelpers.workflow.promptFailed', {}, 'Failed to send prompt'),
|
||||
missingTargetMessage: options.missingTargetMessage || translate('uiHelpers.workflow.noTargetNodeSelected', {}, 'No target node selected'),
|
||||
};
|
||||
|
||||
const handleSend = (selectedNodeIds) =>
|
||||
sendTextToNodes(selectedNodeIds, textNodes, promptText, 'replace', messages);
|
||||
|
||||
if (nodeKeys.length === 1) {
|
||||
return await handleSend([nodeKeys[0]]);
|
||||
}
|
||||
|
||||
const actionType = options.actionTypeText || translate('uiHelpers.nodeSelector.prompt', {}, 'Prompt');
|
||||
|
||||
showNodeSelector(textNodes, {
|
||||
actionType,
|
||||
actionMode: translate('uiHelpers.nodeSelector.replace', {}, 'Replace'),
|
||||
onSend: handleSend,
|
||||
});
|
||||
return true;
|
||||
}
|
||||
|
||||
/**
|
||||
* Send generation parameters (seed, steps, cfg, sampler, scheduler) to
|
||||
* workflow nodes that have been marked with "Send Gen Params Target".
|
||||
*
|
||||
* @param {Object} genParams - Raw gen_params from recipe or showcase metadata
|
||||
* @returns {Promise<boolean>} Whether the send succeeded
|
||||
*/
|
||||
export async function sendGenParamsToWorkflow(genParams) {
|
||||
if (!genParams || typeof genParams !== 'object') {
|
||||
showToast('No generation parameters to send', {}, 'warning');
|
||||
return false;
|
||||
}
|
||||
|
||||
// 1. Extract relevant params (skip prompt, negative_prompt, clip_skip, denoising_strength)
|
||||
const raw = {
|
||||
seed: genParams.seed,
|
||||
steps: genParams.steps,
|
||||
cfg: genParams.cfg_scale,
|
||||
};
|
||||
|
||||
// 2. Resolve sampler/scheduler
|
||||
const resolved = resolveSamplerScheduler(genParams.sampler);
|
||||
if (resolved) {
|
||||
if (resolved.sampler) raw.sampler = resolved.sampler;
|
||||
if (resolved.scheduler) raw.scheduler = resolved.scheduler;
|
||||
}
|
||||
|
||||
// Check if we have anything to send
|
||||
const hasAny = Object.values(raw).some(v => v !== undefined && v !== null && v !== '');
|
||||
if (!hasAny) {
|
||||
showToast('No sendable parameters found', {}, 'warning');
|
||||
return false;
|
||||
}
|
||||
|
||||
// 3. Fetch workflow registry
|
||||
const registry = await fetchWorkflowRegistry();
|
||||
if (!registry) {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 4. Filter nodes by marker_role === "send_gen_params"
|
||||
const targetNodes = filterRegistryNodes(registry.nodes, (node) => {
|
||||
return node.marker_role === 'send_gen_params' && isNodeEnabled(node);
|
||||
});
|
||||
|
||||
const nodeKeys = Object.keys(targetNodes);
|
||||
if (nodeKeys.length === 0) {
|
||||
showToast(
|
||||
'No node marked as Send Gen Params Target.\nRight-click a node in ComfyUI → Mark as → Send Gen Params Target',
|
||||
{},
|
||||
'warning'
|
||||
);
|
||||
return false;
|
||||
}
|
||||
|
||||
// 5. For each candidate node, find matching widgets
|
||||
// Also collect widget_names from registry for matching
|
||||
const sendToNode = async (nodeIds) => {
|
||||
const targetIds = Array.isArray(nodeIds) ? nodeIds : [nodeIds];
|
||||
let allSuccess = true;
|
||||
let totalSent = 0;
|
||||
let totalFailed = 0;
|
||||
|
||||
for (const nodeKey of targetIds) {
|
||||
const node = targetNodes[nodeKey];
|
||||
if (!node) continue;
|
||||
|
||||
const widgetNames = node.widget_names || [];
|
||||
const updates = findMatchingWidgets(widgetNames, raw);
|
||||
|
||||
if (updates.length === 0) {
|
||||
showToast(`Node "${node.title || node.type}" has no matching widgets for these parameters`, {}, 'warning');
|
||||
allSuccess = false;
|
||||
continue;
|
||||
}
|
||||
|
||||
// Send each widget value sequentially
|
||||
for (const update of updates) {
|
||||
const success = await sendWidgetValueToNodes(
|
||||
[nodeKey],
|
||||
targetNodes,
|
||||
update.widgetName,
|
||||
update.value,
|
||||
{
|
||||
silent: true,
|
||||
}
|
||||
);
|
||||
if (success) {
|
||||
totalSent++;
|
||||
} else {
|
||||
totalFailed++;
|
||||
allSuccess = false;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// Show single summary toast
|
||||
if (totalSent > 0 && totalFailed === 0) {
|
||||
showToast(`Sent ${totalSent} parameter${totalSent > 1 ? 's' : ''} to workflow`, {}, 'success');
|
||||
} else if (totalFailed > 0 && totalSent > 0) {
|
||||
showToast(`Partially updated (${totalSent} ok, ${totalFailed} failed)`, {}, 'warning');
|
||||
} else if (totalFailed > 0) {
|
||||
showToast('Failed to update parameters', {}, 'error');
|
||||
}
|
||||
return allSuccess;
|
||||
};
|
||||
|
||||
// 6. If multiple nodes, show node selector; otherwise send directly
|
||||
if (nodeKeys.length === 1) {
|
||||
return await sendToNode([nodeKeys[0]]);
|
||||
}
|
||||
|
||||
showNodeSelector(targetNodes, {
|
||||
actionType: 'Gen Params',
|
||||
actionMode: 'Update',
|
||||
onSend: sendToNode,
|
||||
enableSendAll: true,
|
||||
});
|
||||
return true;
|
||||
}
|
||||
|
||||
// Global variable to track active node selector state
|
||||
let nodeSelectorState = {
|
||||
isActive: false,
|
||||
|
||||
+8
-4
@@ -46,16 +46,20 @@
|
||||
</script>
|
||||
<script>
|
||||
(function() {
|
||||
// Apply theme immediately based on stored preference
|
||||
const STORAGE_PREFIX = 'lora_manager_';
|
||||
const savedTheme = localStorage.getItem(STORAGE_PREFIX + 'theme') || 'auto';
|
||||
const prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches;
|
||||
var STORAGE_PREFIX = 'lora_manager_';
|
||||
var savedTheme = localStorage.getItem(STORAGE_PREFIX + 'theme') || 'auto';
|
||||
var savedPreset = localStorage.getItem(STORAGE_PREFIX + 'theme_preset') || 'default';
|
||||
var prefersDark = window.matchMedia('(prefers-color-scheme: dark)').matches;
|
||||
|
||||
if (savedTheme === 'dark' || (savedTheme === 'auto' && prefersDark)) {
|
||||
document.documentElement.setAttribute('data-theme', 'dark');
|
||||
} else {
|
||||
document.documentElement.setAttribute('data-theme', 'light');
|
||||
}
|
||||
|
||||
if (savedPreset && savedPreset !== 'default') {
|
||||
document.documentElement.setAttribute('data-theme-preset', savedPreset);
|
||||
}
|
||||
})();
|
||||
</script>
|
||||
{% block head_scripts %}{% endblock %}
|
||||
|
||||
@@ -158,6 +158,11 @@
|
||||
<div class="context-menu-item" data-action="manage-excluded-models">
|
||||
<i class="fas fa-eye-slash"></i> <span>{{ t('globalContextMenu.manageExcludedModels.label', default='Manage Excluded Models') }}</span>
|
||||
</div>
|
||||
<div class="context-menu-separator"></div>
|
||||
<div class="context-menu-item" data-action="toggle-group-by-model">
|
||||
<i class="fas fa-layer-group"></i> <span>{{ t('globalContextMenu.groupByModel.label') }}</span>
|
||||
<i class="fas fa-check check-indicator" style="margin-left:auto;display:none"></i>
|
||||
</div>
|
||||
<div class="context-menu-item" data-action="repair-recipes">
|
||||
<i class="fas fa-tools"></i> <span>{{ t('globalContextMenu.repairRecipes.label') }}</span>
|
||||
</div>
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
<div class="controls">
|
||||
{% if page_id != 'recipes' %}
|
||||
<div id="excludedViewBanner" class="excluded-view-banner hidden">
|
||||
<div class="excluded-view-banner__content">
|
||||
<div class="excluded-view-banner__title">
|
||||
@@ -11,42 +12,63 @@
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
{% endif %}
|
||||
<div class="actions">
|
||||
<div class="action-buttons">
|
||||
<div title="{{ t('loras.controls.sort.title') }}" class="control-group">
|
||||
<select id="sortSelect">
|
||||
<div title="{% if page_id == 'recipes' %}{{ t('recipes.controls.sort.title') }}{% else %}{{ t('loras.controls.sort.title') }}{% endif %}" class="control-group sort-dropdown-group dropdown-group" data-sort-dropdown>
|
||||
<button type="button" class="sort-trigger" aria-haspopup="listbox" aria-expanded="false">
|
||||
<span class="sort-trigger__label"></span>
|
||||
<i class="fas fa-caret-down sort-trigger__caret" aria-hidden="true"></i>
|
||||
</button>
|
||||
<div class="dropdown-menu sort-dropdown-menu" role="listbox"></div>
|
||||
<select id="sortSelect" class="sort-select-native" tabindex="-1" aria-hidden="true">
|
||||
<optgroup label="{{ t('loras.controls.sort.name') }}">
|
||||
<option value="name:asc">{{ t('loras.controls.sort.nameAsc') }}</option>
|
||||
<option value="name:desc">{{ t('loras.controls.sort.nameDesc') }}</option>
|
||||
</optgroup>
|
||||
<optgroup label="{{ t('loras.controls.sort.date') }}">
|
||||
<optgroup label="{% if page_id == 'recipes' %}{{ t('recipes.controls.sort.date') }}{% else %}{{ t('loras.controls.sort.date') }}{% endif %}">
|
||||
<option value="date:desc">{{ t('loras.controls.sort.dateDesc') }}</option>
|
||||
<option value="date:asc">{{ t('loras.controls.sort.dateAsc') }}</option>
|
||||
</optgroup>
|
||||
{% if page_id != 'recipes' %}
|
||||
<optgroup label="{{ t('loras.controls.sort.size') }}">
|
||||
<option value="size:desc">{{ t('loras.controls.sort.sizeDesc') }}</option>
|
||||
<option value="size:asc">{{ t('loras.controls.sort.sizeAsc') }}</option>
|
||||
</optgroup>
|
||||
{% if page_id != 'embeddings' %}
|
||||
{% endif %}
|
||||
{% if page_id != 'embeddings' and page_id != 'recipes' %}
|
||||
<optgroup label="{{ t('loras.controls.sort.usage', default='Usage') }}">
|
||||
<option value="usage:desc">{{ t('loras.controls.sort.usageDesc', default='Times used (high to low)') }}</option>
|
||||
<option value="usage:asc">{{ t('loras.controls.sort.usageAsc', default='Times used (low to high)') }}</option>
|
||||
</optgroup>
|
||||
{% endif %}
|
||||
{% if page_id != 'recipes' %}
|
||||
<optgroup class="sort-option-versions-count" label="{{ t('loras.controls.sort.versionsCount', default='Local Versions') }}">
|
||||
<option value="versions_count:desc">{{ t('loras.controls.sort.versionsCountDesc', default='Most versions first') }}</option>
|
||||
<option value="versions_count:asc">{{ t('loras.controls.sort.versionsCountAsc', default='Fewest versions first') }}</option>
|
||||
</optgroup>
|
||||
{% endif %}
|
||||
{% if page_id == 'recipes' %}
|
||||
<optgroup label="{{ t('recipes.controls.sort.lorasCount') }}">
|
||||
<option value="loras_count:desc">{{ t('recipes.controls.sort.lorasCountDesc') }}</option>
|
||||
<option value="loras_count:asc">{{ t('recipes.controls.sort.lorasCountAsc') }}</option>
|
||||
</optgroup>
|
||||
{% endif %}
|
||||
</select>
|
||||
</div>
|
||||
<div title="{{ t('loras.controls.refresh.title') }}" class="control-group dropdown-group">
|
||||
<div title="{% if page_id == 'recipes' %}{{ t('recipes.controls.refresh.title') }}{% else %}{{ t('loras.controls.refresh.title') }}{% endif %}" class="control-group dropdown-group">
|
||||
<button data-action="refresh" class="dropdown-main"><i class="fas fa-sync"></i> <span>{{ t('common.actions.refresh') }}</span></button>
|
||||
<button class="dropdown-toggle" aria-label="Show refresh options">
|
||||
<i class="fas fa-caret-down"></i>
|
||||
</button>
|
||||
<div class="dropdown-menu">
|
||||
<div class="dropdown-item" data-action="full-rebuild" title="{{ t('loras.controls.refresh.fullTooltip') }}">
|
||||
<i class="fas fa-tools"></i> <span>{{ t('loras.controls.refresh.full') }}</span>
|
||||
<div class="dropdown-item" data-action="full-rebuild" title="{% if page_id == 'recipes' %}{{ t('recipes.controls.refresh.fullTooltip', default='Rebuild cache - full rescan of all recipe files') }}{% else %}{{ t('loras.controls.refresh.fullTooltip') }}{% endif %}">
|
||||
<i class="fas fa-tools"></i> <span>{% if page_id == 'recipes' %}{{ t('loras.controls.refresh.full', default='Rebuild Cache') }}{% else %}{{ t('loras.controls.refresh.full') }}{% endif %}</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{% if page_id != 'recipes' %}
|
||||
<div class="control-group">
|
||||
<button data-action="fetch" title="{{ t('loras.controls.fetch.title') }}"><i class="fas fa-download"></i> <span>{{ t('loras.controls.fetch.action') }}</span></button>
|
||||
</div>
|
||||
@@ -55,6 +77,15 @@
|
||||
<i class="fas fa-cloud-download-alt"></i> <span>{{ t('loras.controls.download.action') }}</span>
|
||||
</button>
|
||||
</div>
|
||||
{% endif %}
|
||||
{% if page_id == 'recipes' %}
|
||||
<div title="{{ t('recipes.controls.import.title') }}" class="control-group">
|
||||
<button onclick="importManager.showImportModal()"><i class="fas fa-file-import"></i> {{ t('recipes.controls.import.action') }}</button>
|
||||
</div>
|
||||
<div title="{{ t('recipes.batchImport.title') }}" class="control-group">
|
||||
<button onclick="batchImportManager.showModal()"><i class="fas fa-layer-group"></i> {{ t('recipes.batchImport.action') }}</button>
|
||||
</div>
|
||||
{% endif %}
|
||||
<div class="control-group">
|
||||
<button id="bulkOperationsBtn" data-action="bulk" title="{{ t('loras.controls.bulk.title') }}">
|
||||
<i class="fas fa-th-large"></i> <span><span>{{ t('loras.controls.bulk.action') }}</span> <div class="shortcut-key">B</div></span>
|
||||
@@ -71,6 +102,7 @@
|
||||
<i class="fas fa-star"></i> <span>{{ t('loras.controls.favorites.action') }}</span>
|
||||
</button>
|
||||
</div>
|
||||
{% if page_id != 'recipes' %}
|
||||
<div class="control-group dropdown-group update-filter-group">
|
||||
<button id="updateFilterBtn" data-action="toggle-updates" class="dropdown-main update-filter" title="{{ t('loras.controls.updates.title') }}">
|
||||
<i class="fas fa-exclamation-circle"></i> <span>{{ t('loras.controls.updates.action') }}</span>
|
||||
@@ -84,6 +116,7 @@
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
{% endif %}
|
||||
<div id="customFilterIndicator" class="control-group hidden">
|
||||
<div class="filter-active">
|
||||
<i class="fas fa-filter"></i> <span class="customFilterText" title=""></span>
|
||||
@@ -100,30 +133,6 @@
|
||||
<span id="doctorStatusBadge" class="doctor-status-badge hidden" aria-hidden="true"></span>
|
||||
</button>
|
||||
</div>
|
||||
<div class="keyboard-nav-hint tooltip">
|
||||
<i class="fas fa-keyboard"></i>
|
||||
<span class="tooltiptext">
|
||||
<span>{{ t('keyboard.navigation') }}</span>
|
||||
<table class="keyboard-shortcuts">
|
||||
<tr>
|
||||
<td><span class="key">Page Up</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.pageUp') }}</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><span class="key">Page Down</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.pageDown') }}</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><span class="key">Home</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.home') }}</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><span class="key">End</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.end') }}</td>
|
||||
</tr>
|
||||
</table>
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -45,14 +45,14 @@
|
||||
|
||||
<!-- Center section: Search -->
|
||||
{% set search_disabled = current_page == 'statistics' %}
|
||||
{% set search_placeholder_key = 'header.search.notAvailable' if search_disabled else 'header.search.placeholders.' ~
|
||||
current_page %}
|
||||
{% set search_placeholder_key = 'header.search.notAvailable' if search_disabled else 'header.search.placeholder' %}
|
||||
{% set header_search_class = 'header-search disabled' if search_disabled else 'header-search' %}
|
||||
<div class="{{ header_search_class }}" id="headerSearch">
|
||||
<div class="search-container">
|
||||
<input type="text" id="searchInput" placeholder="{{ t(search_placeholder_key) }}" {% if search_disabled %}
|
||||
disabled{% endif %} />
|
||||
<i class="fas fa-search search-icon"></i>
|
||||
<span class="search-shortcut-cue" id="searchShortcutCue"><kbd>Ctrl</kbd><kbd>F</kbd></span>
|
||||
<button class="search-options-toggle" id="searchOptionsToggle" title="{{ t('header.search.options') }}" {% if
|
||||
search_disabled %} disabled aria-disabled="true" {% endif %}>
|
||||
<i class="fas fa-sliders-h"></i>
|
||||
@@ -120,6 +120,56 @@
|
||||
</div>
|
||||
</header>
|
||||
|
||||
<div class="theme-popover" id="themePopover" role="dialog" aria-label="{{ t('header.theme.toggle') }}">
|
||||
<div class="theme-popover-section">
|
||||
<div class="theme-popover-label">{{ t('header.theme.mode') }}</div>
|
||||
<div class="theme-popover-modes">
|
||||
<button class="theme-mode-btn" data-mode="light" title="{{ t('header.theme.light') }}">
|
||||
<i class="fas fa-sun"></i>
|
||||
<span>{{ t('header.theme.light') }}</span>
|
||||
</button>
|
||||
<button class="theme-mode-btn" data-mode="dark" title="{{ t('header.theme.dark') }}">
|
||||
<i class="fas fa-moon"></i>
|
||||
<span>{{ t('header.theme.dark') }}</span>
|
||||
</button>
|
||||
<button class="theme-mode-btn" data-mode="auto" title="{{ t('header.theme.auto') }}">
|
||||
<i class="fas fa-adjust"></i>
|
||||
<span>{{ t('header.theme.auto') }}</span>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="theme-popover-divider"></div>
|
||||
<div class="theme-popover-section">
|
||||
<div class="theme-popover-label">{{ t('header.theme.presets') }}</div>
|
||||
<div class="theme-popover-presets">
|
||||
<button class="theme-preset-btn" data-preset="default" title="{{ t('header.theme.default') }}">
|
||||
<span class="preset-swatch preset-swatch-default"></span>
|
||||
<span>{{ t('header.theme.default') }}</span>
|
||||
</button>
|
||||
<button class="theme-preset-btn" data-preset="nord" title="{{ t('header.theme.nord') }}">
|
||||
<span class="preset-swatch preset-swatch-nord"></span>
|
||||
<span>{{ t('header.theme.nord') }}</span>
|
||||
</button>
|
||||
<button class="theme-preset-btn" data-preset="midnight" title="{{ t('header.theme.midnight') }}">
|
||||
<span class="preset-swatch preset-swatch-midnight"></span>
|
||||
<span>{{ t('header.theme.midnight') }}</span>
|
||||
</button>
|
||||
<button class="theme-preset-btn" data-preset="monokai" title="{{ t('header.theme.monokai') }}">
|
||||
<span class="preset-swatch preset-swatch-monokai"></span>
|
||||
<span>{{ t('header.theme.monokai') }}</span>
|
||||
</button>
|
||||
<button class="theme-preset-btn" data-preset="dracula" title="{{ t('header.theme.dracula') }}">
|
||||
<span class="preset-swatch preset-swatch-dracula"></span>
|
||||
<span>{{ t('header.theme.dracula') }}</span>
|
||||
</button>
|
||||
<button class="theme-preset-btn" data-preset="solarized" title="{{ t('header.theme.solarized') }}">
|
||||
<span class="preset-swatch preset-swatch-solarized"></span>
|
||||
<span>{{ t('header.theme.solarized') }}</span>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Add search options panel with context-aware options -->
|
||||
<div id="searchOptionsPanel" class="search-options-panel hidden">
|
||||
<div class="options-header">
|
||||
|
||||
@@ -95,22 +95,36 @@
|
||||
<div class="setting-item api-key-item">
|
||||
<div class="setting-row">
|
||||
<div class="setting-info">
|
||||
<label for="civitaiApiKey">{{ t('settings.civitaiApiKey') }}</label>
|
||||
<label>{{ t('settings.civitaiApiKey') }}</label>
|
||||
<i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.civitaiApiKeyHelp') }}"></i>
|
||||
</div>
|
||||
<div class="setting-control">
|
||||
<div class="api-key-input">
|
||||
<input type="password"
|
||||
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">
|
||||
<i class="fas fa-eye"></i>
|
||||
<!-- Status display (shown when not editing) -->
|
||||
<div id="civitaiApiKeyStatus" class="api-key-status">
|
||||
<span id="civitaiApiKeyStatusText" class="api-key-status-text api-key-status--unconfigured">
|
||||
<i class="fas fa-times-circle text-error"></i>
|
||||
{{ t('settings.civitaiApiKeyNotConfigured') }}
|
||||
</span>
|
||||
<button type="button" class="secondary-btn" id="civitaiApiKeyActionBtn" onclick="settingsManager.editApiKey()">
|
||||
{{ t('settings.civitaiApiKeySet') }}
|
||||
</button>
|
||||
</div>
|
||||
<!-- Inline edit view (shown when editing) -->
|
||||
<div id="civitaiApiKeyEdit" class="api-key-edit is-hidden">
|
||||
<div class="api-key-input">
|
||||
<input type="text"
|
||||
id="civitaiApiKey"
|
||||
class="api-key-masked"
|
||||
placeholder="{{ t('settings.civitaiApiKeyPlaceholder') }}"
|
||||
autocomplete="off"
|
||||
data-mask="css" />
|
||||
<button type="button" class="toggle-visibility">
|
||||
<i class="fas fa-eye"></i>
|
||||
</button>
|
||||
</div>
|
||||
<button type="button" class="primary-btn" onclick="settingsManager.saveApiKey()">{{ t('common.actions.save') }}</button>
|
||||
<button type="button" class="secondary-btn" onclick="settingsManager.cancelEditApiKey()">{{ t('common.actions.cancel') }}</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -522,6 +536,25 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Group by model toggle -->
|
||||
<div class="setting-item">
|
||||
<div class="setting-row">
|
||||
<div class="setting-info">
|
||||
<label for="groupByModel">
|
||||
{{ t('settings.layoutSettings.groupByModel') }}
|
||||
<i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.layoutSettings.groupByModelHelp') }}"></i>
|
||||
</label>
|
||||
</div>
|
||||
<div class="setting-control">
|
||||
<label class="toggle-switch">
|
||||
<input type="checkbox" id="groupByModel"
|
||||
onchange="settingsManager.saveToggleSetting('groupByModel', 'group_by_model')">
|
||||
<span class="toggle-slider"></span>
|
||||
</label>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="setting-item">
|
||||
<div class="setting-row">
|
||||
<div class="setting-info">
|
||||
@@ -549,7 +582,7 @@
|
||||
</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'"
|
||||
oninput="var pct = (this.value / 20) * 100; this.style.setProperty('--range-fill', pct + '%'); document.getElementById('cardBlurAmountValue').textContent = this.value + 'px'"
|
||||
onchange="settingsManager.saveRangeSetting('cardBlurAmount', 'cardBlurAmountValue', 'card_blur_amount')">
|
||||
<span id="cardBlurAmountValue" class="range-value">8px</span>
|
||||
</div>
|
||||
@@ -592,6 +625,30 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- License Icons -->
|
||||
<div class="settings-subsection">
|
||||
<div class="settings-subsection-header">
|
||||
<h4>{{ t('settings.sections.licenseIcons') }}</h4>
|
||||
</div>
|
||||
<div class="setting-item">
|
||||
<div class="setting-row">
|
||||
<div class="setting-info">
|
||||
<label for="useNewLicenseIcons">
|
||||
{{ t('settings.licenseIcons.useNewStyle') }}
|
||||
<i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.licenseIcons.useNewStyleHelp') }}"></i>
|
||||
</label>
|
||||
</div>
|
||||
<div class="setting-control">
|
||||
<label class="toggle-switch">
|
||||
<input type="checkbox" id="useNewLicenseIcons"
|
||||
onchange="settingsManager.saveToggleSetting('useNewLicenseIcons', 'use_new_license_icons')">
|
||||
<span class="toggle-slider"></span>
|
||||
</label>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Miscellaneous -->
|
||||
<div class="settings-subsection">
|
||||
<div class="settings-subsection-header">
|
||||
@@ -1043,23 +1100,23 @@
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Update Flags -->
|
||||
<!-- Version Scope -->
|
||||
<div class="settings-subsection">
|
||||
<div class="settings-subsection-header">
|
||||
<h4>{{ t('settings.sections.updateFlags') }}</h4>
|
||||
<h4>{{ t('settings.sections.versionScope') }}</h4>
|
||||
</div>
|
||||
<div class="setting-item">
|
||||
<div class="setting-row">
|
||||
<div class="setting-info">
|
||||
<label for="updateFlagStrategy">
|
||||
{{ t('settings.updateFlagStrategy.label') }}
|
||||
<i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.updateFlagStrategy.help') }}"></i>
|
||||
<label for="versionGrouping">
|
||||
{{ t('settings.versionGrouping.label') }}
|
||||
<i class="fas fa-info-circle info-icon" data-tooltip="{{ t('settings.versionGrouping.help') }}"></i>
|
||||
</label>
|
||||
</div>
|
||||
<div class="setting-control select-control">
|
||||
<select id="updateFlagStrategy" onchange="settingsManager.saveSelectSetting('updateFlagStrategy', 'update_flag_strategy')">
|
||||
<option value="same_base">{{ t('settings.updateFlagStrategy.options.sameBase') }}</option>
|
||||
<option value="any">{{ t('settings.updateFlagStrategy.options.any') }}</option>
|
||||
<select id="versionGrouping" onchange="settingsManager.saveSelectSetting('versionGrouping', 'version_grouping')">
|
||||
<option value="same_base">{{ t('settings.versionGrouping.options.sameBase') }}</option>
|
||||
<option value="any">{{ t('settings.versionGrouping.options.any') }}</option>
|
||||
</select>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -6,13 +6,8 @@
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<!-- Header Actions: populated dynamically in RecipeModal.js -->
|
||||
<div class="recipe-header-actions" id="recipeHeaderActions"></div>
|
||||
<!-- Recipe Tags Container -->
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<!-- Recipe Tags Container (rendered by renderCompactTags) -->
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
|
||||
<div class="modal-body">
|
||||
@@ -41,6 +36,9 @@
|
||||
<div class="param-header">
|
||||
<label>Prompt</label>
|
||||
<div class="param-actions">
|
||||
<button class="copy-btn" id="sendPromptBtn" title="Send Prompt to Workflow">
|
||||
<i class="fas fa-paper-plane"></i>
|
||||
</button>
|
||||
<button class="copy-btn" id="copyPromptBtn" title="Copy Prompt">
|
||||
<i class="fas fa-copy"></i>
|
||||
</button>
|
||||
@@ -67,6 +65,9 @@
|
||||
<div class="param-header">
|
||||
<label>Negative Prompt</label>
|
||||
<div class="param-actions">
|
||||
<button class="copy-btn" id="sendNegativePromptBtn" title="Send Negative Prompt to Workflow">
|
||||
<i class="fas fa-paper-plane"></i>
|
||||
</button>
|
||||
<button class="copy-btn" id="copyNegativePromptBtn" title="Copy Negative Prompt">
|
||||
<i class="fas fa-copy"></i>
|
||||
</button>
|
||||
@@ -89,7 +90,17 @@
|
||||
</div>
|
||||
|
||||
<!-- Other Parameters -->
|
||||
<div class="other-params" id="recipeOtherParams"></div>
|
||||
<div class="param-group info-item">
|
||||
<div class="param-header">
|
||||
<label>Params</label>
|
||||
<div class="param-actions">
|
||||
<button class="copy-btn" id="sendParamsBtn" title="Send Params to Workflow">
|
||||
<i class="fas fa-paper-plane"></i>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
<div class="other-params" id="recipeOtherParams"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
+3
-109
@@ -62,115 +62,9 @@
|
||||
|
||||
{% block content %}
|
||||
<!-- Recipe controls -->
|
||||
<div class="controls">
|
||||
<div class="actions">
|
||||
<div class="action-buttons">
|
||||
<div class="control-group">
|
||||
<select id="sortSelect" title="{{ t('recipes.controls.sort.title') }}">
|
||||
<optgroup label="{{ t('recipes.controls.sort.name') }}">
|
||||
<option value="name:asc">{{ t('recipes.controls.sort.nameAsc') }}</option>
|
||||
<option value="name:desc">{{ t('recipes.controls.sort.nameDesc') }}</option>
|
||||
</optgroup>
|
||||
<optgroup label="{{ t('recipes.controls.sort.date') }}">
|
||||
<option value="date:desc">{{ t('recipes.controls.sort.dateDesc') }}</option>
|
||||
<option value="date:asc">{{ t('recipes.controls.sort.dateAsc') }}</option>
|
||||
</optgroup>
|
||||
<optgroup label="{{ t('recipes.controls.sort.lorasCount') }}">
|
||||
<option value="loras_count:desc">{{ t('recipes.controls.sort.lorasCountDesc') }}</option>
|
||||
<option value="loras_count:asc">{{ t('recipes.controls.sort.lorasCountAsc') }}</option>
|
||||
</optgroup>
|
||||
</select>
|
||||
</div>
|
||||
<div title="{{ t('recipes.controls.refresh.title') }}" class="control-group dropdown-group">
|
||||
<button data-action="refresh" class="dropdown-main"><i class="fas fa-sync"></i> <span>{{
|
||||
t('common.actions.refresh') }}</span></button>
|
||||
<button class="dropdown-toggle" aria-label="Show refresh options">
|
||||
<i class="fas fa-caret-down"></i>
|
||||
</button>
|
||||
<div class="dropdown-menu">
|
||||
<div class="dropdown-item" data-action="full-rebuild" title="{{ t('recipes.controls.refresh.fullTooltip', default='Rebuild cache - full rescan of all recipe files') }}">
|
||||
<i class="fas fa-tools"></i> <span>{{ t('loras.controls.refresh.full', default='Rebuild Cache') }}</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div title="{{ t('recipes.controls.import.title') }}" class="control-group">
|
||||
<button onclick="importManager.showImportModal()"><i class="fas fa-file-import"></i> {{
|
||||
t('recipes.controls.import.action') }}</button>
|
||||
</div>
|
||||
<div title="{{ t('recipes.batchImport.title') }}" class="control-group">
|
||||
<button onclick="batchImportManager.showModal()"><i class="fas fa-layer-group"></i> {{
|
||||
t('recipes.batchImport.action') }}</button>
|
||||
</div>
|
||||
<div class="control-group" title="{{ t('loras.controls.bulk.title') }}">
|
||||
<button id="bulkOperationsBtn" data-action="bulk" title="{{ t('loras.controls.bulk.title') }}">
|
||||
<i class="fas fa-th-large"></i> <span><span>{{ t('loras.controls.bulk.action') }}</span>
|
||||
<div class="shortcut-key">B</div>
|
||||
</span>
|
||||
</button>
|
||||
</div>
|
||||
<!-- Add duplicate detection button -->
|
||||
<div title="{{ t('loras.controls.duplicates.title') }}" class="control-group">
|
||||
<button onclick="recipeManager.findDuplicateRecipes()"><i class="fas fa-clone"></i> {{
|
||||
t('loras.controls.duplicates.action') }}</button>
|
||||
</div>
|
||||
<div class="control-group">
|
||||
<button id="favoriteFilterBtn" data-action="toggle-favorites" class="favorite-filter"
|
||||
title="{{ t('recipes.controls.favorites.title') }}">
|
||||
<i class="fas fa-star"></i> <span>{{ t('recipes.controls.favorites.action') }}</span>
|
||||
</button>
|
||||
</div>
|
||||
<!-- Custom filter indicator button (hidden by default) -->
|
||||
<div id="customFilterIndicator" class="control-group hidden">
|
||||
<div class="filter-active">
|
||||
<i class="fas fa-filter"></i> <span id="customFilterText">{{ t('recipes.controls.filteredByLora')
|
||||
}}</span>
|
||||
<i class="fas fa-times-circle clear-filter"></i>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<div class="controls-right">
|
||||
<div class="control-group doctor-control-group">
|
||||
<button id="doctorTriggerBtn" class="doctor-trigger" title="{{ t('doctor.buttonTitle', default='Run diagnostics and common fixes') }}">
|
||||
<i class="fas fa-stethoscope"></i>
|
||||
<span>{{ t('doctor.title', default='Doctor') }}</span>
|
||||
<span id="doctorStatusBadge" class="doctor-status-badge hidden" aria-hidden="true"></span>
|
||||
</button>
|
||||
</div>
|
||||
<div class="keyboard-nav-hint tooltip">
|
||||
<i class="fas fa-keyboard"></i>
|
||||
<span class="tooltiptext">
|
||||
<span>{{ t('keyboard.navigation') }}</span>
|
||||
<table class="keyboard-shortcuts">
|
||||
<tr>
|
||||
<td><span class="key">Page Up</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.pageUp') }}</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><span class="key">Page Down</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.pageDown') }}</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><span class="key">Home</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.home') }}</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><span class="key">End</span></td>
|
||||
<td>{{ t('keyboard.shortcuts.end') }}</td>
|
||||
</tr>
|
||||
</table>
|
||||
</span>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Breadcrumb Navigation -->
|
||||
<div id="breadcrumbContainer" class="sidebar-breadcrumb-container">
|
||||
<nav class="sidebar-breadcrumb-nav" id="sidebarBreadcrumbNav">
|
||||
<!-- Breadcrumbs will be populated by JavaScript -->
|
||||
</nav>
|
||||
</div>
|
||||
</div>
|
||||
{% include 'components/controls.html' %}
|
||||
<!-- Breadcrumb Navigation -->
|
||||
{% include 'components/breadcrumb.html' %}
|
||||
|
||||
<!-- Duplicates banner (hidden by default) -->
|
||||
<div id="duplicatesBanner" class="duplicates-banner" style="display: none;">
|
||||
|
||||
@@ -246,12 +246,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -375,12 +370,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -474,12 +464,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -588,12 +573,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -682,12 +662,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -790,12 +765,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -873,12 +843,10 @@ describe('Interaction-level regression coverage', () => {
|
||||
});
|
||||
|
||||
recipeModal.markFieldDirty('title');
|
||||
recipeModal.markFieldDirty('tags');
|
||||
recipeModal.markFieldDirty('prompt');
|
||||
recipeModal.markFieldDirty('negative_prompt');
|
||||
|
||||
document.querySelector('#recipeTitleEditor .title-input').value = 'Local Title';
|
||||
document.querySelector('#recipeTagsEditor .tags-input').value = 'local-tag-1, local-tag-2';
|
||||
document.getElementById('recipePromptInput').value = 'local prompt';
|
||||
document.getElementById('recipeNegativePromptInput').value = 'local negative';
|
||||
|
||||
@@ -899,7 +867,6 @@ describe('Interaction-level regression coverage', () => {
|
||||
await flushAsyncTasks();
|
||||
|
||||
expect(document.querySelector('#recipeTitleEditor .title-input').value).toBe('Local Title');
|
||||
expect(document.querySelector('#recipeTagsEditor .tags-input').value).toBe('local-tag-1, local-tag-2');
|
||||
expect(document.getElementById('recipePromptInput').value).toBe('local prompt');
|
||||
expect(document.getElementById('recipeNegativePromptInput').value).toBe('local negative');
|
||||
expect(recipeModal.currentRecipe.title).toBe('Hydrated Title');
|
||||
@@ -918,12 +885,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -1057,12 +1019,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -1160,9 +1117,9 @@ describe('Interaction-level regression coverage', () => {
|
||||
expect(document.getElementById('recipePrompt').textContent).toBe('No prompt information available');
|
||||
expect(document.getElementById('recipeNegativePrompt').textContent).toBe('No negative prompt information available');
|
||||
const otherParamsText = document.getElementById('recipeOtherParams').textContent;
|
||||
expect(otherParamsText).toContain('sampler:');
|
||||
expect(otherParamsText).toContain('Sampler:');
|
||||
expect(otherParamsText).toContain('dpmpp_2m');
|
||||
expect(otherParamsText).not.toContain('cfg_scale');
|
||||
expect(otherParamsText).not.toContain('CFG');
|
||||
});
|
||||
|
||||
it('filters dirty generation params from recipe modal display', async () => {
|
||||
@@ -1170,8 +1127,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div id="recipeModal" class="modal">
|
||||
<div id="recipeModalTitle"></div>
|
||||
<div id="recipePreviewContainer"></div>
|
||||
<div id="recipeTagsCompact"></div>
|
||||
<div id="recipeTagsTooltip"><div id="recipeTagsTooltipContent"></div></div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
<div id="recipePrompt"></div>
|
||||
<textarea id="recipePromptInput"></textarea>
|
||||
<div id="recipeNegativePrompt"></div>
|
||||
@@ -1212,8 +1168,8 @@ describe('Interaction-level regression coverage', () => {
|
||||
const otherParamsText = document.getElementById('recipeOtherParams').textContent;
|
||||
expect(document.getElementById('recipePrompt').textContent).toContain('visible prompt');
|
||||
expect(document.getElementById('recipeNegativePrompt').textContent).toContain('visible negative');
|
||||
expect(otherParamsText).toContain('sampler:');
|
||||
expect(otherParamsText).toContain('cfg_scale:');
|
||||
expect(otherParamsText).toContain('Sampler:');
|
||||
expect(otherParamsText).toContain('CFG:');
|
||||
expect(otherParamsText).not.toContain('Version');
|
||||
expect(otherParamsText).not.toContain('raw_metadata');
|
||||
expect(otherParamsText).not.toContain('RNG');
|
||||
@@ -1224,8 +1180,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div id="recipeModal" class="modal">
|
||||
<div id="recipeModalTitle"></div>
|
||||
<div id="recipePreviewContainer"></div>
|
||||
<div id="recipeTagsCompact"></div>
|
||||
<div id="recipeTagsTooltip"><div id="recipeTagsTooltipContent"></div></div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
<div id="recipePrompt"></div>
|
||||
<textarea id="recipePromptInput"></textarea>
|
||||
<div id="recipeNegativePrompt"></div>
|
||||
@@ -1267,7 +1222,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
expect(document.getElementById('recipePrompt').textContent).not.toContain('stale prompt');
|
||||
expect(document.getElementById('recipeNegativePrompt').textContent).toContain('fresh negative');
|
||||
expect(document.getElementById('recipeNegativePrompt').textContent).not.toContain('stale negative');
|
||||
expect(otherParamsText).toContain('cfg_scale:');
|
||||
expect(otherParamsText).toContain('CFG:');
|
||||
expect(otherParamsText).toContain('7');
|
||||
expect(otherParamsText).not.toContain('3');
|
||||
});
|
||||
@@ -1300,12 +1255,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -1418,12 +1368,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -1541,12 +1486,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -1654,12 +1594,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -1776,12 +1711,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -1878,12 +1808,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
@@ -2007,12 +1932,7 @@ describe('Interaction-level regression coverage', () => {
|
||||
<div class="modal-content">
|
||||
<header class="recipe-modal-header">
|
||||
<h2 id="recipeModalTitle">Recipe Details</h2>
|
||||
<div class="recipe-tags-container">
|
||||
<div class="recipe-tags-compact" id="recipeTagsCompact"></div>
|
||||
<div class="recipe-tags-tooltip" id="recipeTagsTooltip">
|
||||
<div class="tooltip-content" id="recipeTagsTooltipContent"></div>
|
||||
</div>
|
||||
</div>
|
||||
<div id="recipeTagsContainer"></div>
|
||||
</header>
|
||||
<div class="modal-body">
|
||||
<div class="recipe-top-section">
|
||||
|
||||
@@ -101,14 +101,19 @@ vi.mock(API_FACTORY, () => ({
|
||||
|
||||
describe('Model modal license rendering', () => {
|
||||
let getModelApiClient;
|
||||
let state;
|
||||
|
||||
beforeEach(async () => {
|
||||
document.body.innerHTML = '';
|
||||
({ getModelApiClient } = await import(API_FACTORY));
|
||||
getModelApiClient.mockReset();
|
||||
// Import state and force classic icons for this test
|
||||
const stateModule = await import('../../../static/js/state/index.js');
|
||||
state = stateModule.state;
|
||||
state.global.settings.use_new_license_icons = false;
|
||||
});
|
||||
|
||||
it('handles aggregated commercial strings without extra restrictions', async () => {
|
||||
it('handles aggregated commercial strings without extra restrictions (classic style)', async () => {
|
||||
const fetchModelMetadata = vi.fn().mockResolvedValue(null);
|
||||
getModelApiClient.mockReturnValue({
|
||||
fetchModelMetadata,
|
||||
|
||||
@@ -33,7 +33,7 @@ const stateMock = {
|
||||
global: {
|
||||
settings: {
|
||||
autoplay_on_hover: false,
|
||||
update_flag_strategy: 'any',
|
||||
version_grouping: 'any',
|
||||
},
|
||||
},
|
||||
};
|
||||
@@ -67,7 +67,7 @@ describe('ModelVersionsTab media rendering', () => {
|
||||
</div>
|
||||
`;
|
||||
stateMock.global.settings.autoplay_on_hover = false;
|
||||
stateMock.global.settings.update_flag_strategy = 'any';
|
||||
stateMock.global.settings.version_grouping = 'any';
|
||||
({ getModelApiClient } = await import(API_FACTORY_MODULE));
|
||||
fetchModelUpdateVersions = vi.fn();
|
||||
getModelApiClient.mockReturnValue({
|
||||
@@ -157,7 +157,7 @@ describe('ModelVersionsTab media rendering', () => {
|
||||
});
|
||||
|
||||
it('shows a stable label with a short state indicator', async () => {
|
||||
stateMock.global.settings.update_flag_strategy = 'any';
|
||||
stateMock.global.settings.version_grouping = 'any';
|
||||
fetchModelUpdateVersions.mockResolvedValue({
|
||||
success: true,
|
||||
record: {
|
||||
@@ -192,7 +192,7 @@ describe('ModelVersionsTab media rendering', () => {
|
||||
});
|
||||
|
||||
it('filters versions to the current base model when strategy is same_base', async () => {
|
||||
stateMock.global.settings.update_flag_strategy = 'same_base';
|
||||
stateMock.global.settings.version_grouping = 'same_base';
|
||||
fetchModelUpdateVersions.mockResolvedValue({
|
||||
success: true,
|
||||
record: {
|
||||
@@ -235,7 +235,7 @@ describe('ModelVersionsTab media rendering', () => {
|
||||
});
|
||||
|
||||
it('toggle button can switch to display all versions', async () => {
|
||||
stateMock.global.settings.update_flag_strategy = 'same_base';
|
||||
stateMock.global.settings.version_grouping = 'same_base';
|
||||
fetchModelUpdateVersions.mockResolvedValue({
|
||||
success: true,
|
||||
record: {
|
||||
@@ -286,7 +286,7 @@ describe('ModelVersionsTab media rendering', () => {
|
||||
});
|
||||
|
||||
it('shows a newer version badge when viewing same-base results', async () => {
|
||||
stateMock.global.settings.update_flag_strategy = 'same_base';
|
||||
stateMock.global.settings.version_grouping = 'same_base';
|
||||
fetchModelUpdateVersions.mockResolvedValue({
|
||||
success: true,
|
||||
record: {
|
||||
|
||||
@@ -96,6 +96,7 @@ function renderControlsDom(pageKey) {
|
||||
<div class="search-container">
|
||||
<input id="searchInput" />
|
||||
<i class="fas fa-search search-icon"></i>
|
||||
<span class="search-shortcut-cue" id="searchShortcutCue"><kbd>Ctrl</kbd><kbd>F</kbd></span>
|
||||
<button id="searchOptionsToggle" class="search-options-toggle"></button>
|
||||
<button id="filterButton" class="search-filter-toggle">
|
||||
<span id="activeFiltersCount" class="filter-badge" style="display: none">0</span>
|
||||
@@ -215,6 +216,40 @@ describe('SearchManager filtering scenarios', () => {
|
||||
expect(loadMoreWithVirtualScrollMock).toHaveBeenCalledWith(true, false);
|
||||
expect(loadMoreWithVirtualScrollMock).toHaveBeenCalledTimes(1);
|
||||
});
|
||||
|
||||
it.each([
|
||||
['loras'],
|
||||
['checkpoints'],
|
||||
])('toggles clear button and shortcut cue visibility for %s page', async (pageKey) => {
|
||||
vi.useFakeTimers();
|
||||
|
||||
renderControlsDom(pageKey);
|
||||
const stateModule = await import('../../../static/js/state/index.js');
|
||||
stateModule.initPageState(pageKey);
|
||||
const { SearchManager } = await import('../../../static/js/managers/SearchManager.js');
|
||||
|
||||
new SearchManager({ page: pageKey, searchDelay: 0 });
|
||||
|
||||
const input = document.getElementById('searchInput');
|
||||
const cue = document.getElementById('searchShortcutCue');
|
||||
const clearBtn = document.querySelector('.search-clear');
|
||||
|
||||
// Initially empty: cue visible, clear hidden
|
||||
expect(cue.classList.contains('hidden')).toBe(false);
|
||||
expect(clearBtn.classList.contains('visible')).toBe(false);
|
||||
|
||||
// Type something: cue hidden, clear visible
|
||||
input.value = 'flux';
|
||||
input.dispatchEvent(new Event('input', { bubbles: true }));
|
||||
expect(cue.classList.contains('hidden')).toBe(true);
|
||||
expect(clearBtn.classList.contains('visible')).toBe(true);
|
||||
|
||||
// Clear via click: cue visible, clear hidden
|
||||
clearBtn.click();
|
||||
expect(input.value).toBe('');
|
||||
expect(cue.classList.contains('hidden')).toBe(false);
|
||||
expect(clearBtn.classList.contains('visible')).toBe(false);
|
||||
});
|
||||
});
|
||||
|
||||
describe('FilterManager tag and base model filters', () => {
|
||||
|
||||
@@ -143,6 +143,19 @@ describe('RecipeManager', () => {
|
||||
|
||||
renderRecipesPage();
|
||||
|
||||
// Inject controls DOM that would normally come from components/controls.html
|
||||
// (raw template rendering doesn't process Jinja2 {% include %} tags)
|
||||
const customFilterIndicator = document.createElement('div');
|
||||
customFilterIndicator.id = 'customFilterIndicator';
|
||||
customFilterIndicator.className = 'control-group hidden';
|
||||
customFilterIndicator.innerHTML = `
|
||||
<div class="filter-active">
|
||||
<i class="fas fa-filter"></i> <span class="customFilterText" title=""></span>
|
||||
<i class="fas fa-times-circle clear-filter"></i>
|
||||
</div>
|
||||
`;
|
||||
document.body.appendChild(customFilterIndicator);
|
||||
|
||||
({ RecipeManager } = await import('../../../static/js/recipes.js'));
|
||||
});
|
||||
|
||||
@@ -288,7 +301,7 @@ describe('RecipeManager', () => {
|
||||
});
|
||||
|
||||
const indicator = document.getElementById('customFilterIndicator');
|
||||
const filterText = indicator.querySelector('#customFilterText');
|
||||
const filterText = indicator.querySelector('.customFilterText');
|
||||
|
||||
expect(filterText.innerHTML).toContain('Recipes using checkpoint:');
|
||||
expect(filterText.innerHTML).toContain('Flux Base');
|
||||
|
||||
@@ -0,0 +1,246 @@
|
||||
import { describe, it, expect } from 'vitest';
|
||||
|
||||
// genParamsMapper is pure logic with zero dependencies — safe to import directly
|
||||
import {
|
||||
SAMPLER_DISPLAY_TO_INTERNAL,
|
||||
SCHEDULER_SUFFIXES,
|
||||
SCHEDULER_ONLY_VALUES,
|
||||
PARAM_TO_WIDGET_CANDIDATES,
|
||||
parseCombinedSamplerName,
|
||||
resolveSamplerScheduler,
|
||||
findMatchingWidgets,
|
||||
} from '../../../static/js/utils/genParamsMapper.js';
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// Constants sanity
|
||||
// ---------------------------------------------------------------------------
|
||||
describe('constants', () => {
|
||||
it('maps at least the common samplers', () => {
|
||||
expect(SAMPLER_DISPLAY_TO_INTERNAL['Euler']).toBe('euler');
|
||||
expect(SAMPLER_DISPLAY_TO_INTERNAL['Euler a']).toBe('euler_ancestral');
|
||||
expect(SAMPLER_DISPLAY_TO_INTERNAL['DPM++ 2M']).toBe('dpmpp_2m');
|
||||
expect(SAMPLER_DISPLAY_TO_INTERNAL['DPM++ 2M SDE']).toBe('dpmpp_2m_sde');
|
||||
expect(SAMPLER_DISPLAY_TO_INTERNAL['LCM']).toBe('lcm');
|
||||
expect(SAMPLER_DISPLAY_TO_INTERNAL['DDIM']).toBe('ddim');
|
||||
});
|
||||
|
||||
it('lists all 9 scheduler suffixes', () => {
|
||||
expect(SCHEDULER_SUFFIXES).toHaveLength(9);
|
||||
expect(SCHEDULER_SUFFIXES).toContain('karras');
|
||||
expect(SCHEDULER_SUFFIXES).toContain('simple');
|
||||
expect(SCHEDULER_SUFFIXES).toContain('exponential');
|
||||
});
|
||||
|
||||
it('marks scheduler-only values', () => {
|
||||
expect(SCHEDULER_ONLY_VALUES.has('karras')).toBe(true);
|
||||
expect(SCHEDULER_ONLY_VALUES.has('simple')).toBe(true);
|
||||
expect(SCHEDULER_ONLY_VALUES.has('euler')).toBe(false);
|
||||
});
|
||||
|
||||
it('has widget candidates for all param keys', () => {
|
||||
expect(PARAM_TO_WIDGET_CANDIDATES.seed).toContain('seed');
|
||||
expect(PARAM_TO_WIDGET_CANDIDATES.sampler).toContain('sampler_name');
|
||||
expect(PARAM_TO_WIDGET_CANDIDATES.scheduler).toContain('scheduler');
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// parseCombinedSamplerName
|
||||
// ---------------------------------------------------------------------------
|
||||
describe('parseCombinedSamplerName', () => {
|
||||
it('parses space-separated sampler + scheduler', () => {
|
||||
expect(parseCombinedSamplerName('Euler a Karras')).toEqual({
|
||||
sampler: 'euler_ancestral',
|
||||
scheduler: 'karras',
|
||||
});
|
||||
});
|
||||
|
||||
it('parses DPM++ 2M Karras', () => {
|
||||
expect(parseCombinedSamplerName('DPM++ 2M Karras')).toEqual({
|
||||
sampler: 'dpmpp_2m',
|
||||
scheduler: 'karras',
|
||||
});
|
||||
});
|
||||
|
||||
it('parses DPM++ 2M beta', () => {
|
||||
expect(parseCombinedSamplerName('DPM++ 2M beta')).toEqual({
|
||||
sampler: 'dpmpp_2m',
|
||||
scheduler: 'beta',
|
||||
});
|
||||
});
|
||||
|
||||
it('parses DPM++ SDE Karras', () => {
|
||||
expect(parseCombinedSamplerName('DPM++ SDE Karras')).toEqual({
|
||||
sampler: 'dpmpp_sde',
|
||||
scheduler: 'karras',
|
||||
});
|
||||
});
|
||||
|
||||
it('parses underscore-separated er_sde_beta', () => {
|
||||
expect(parseCombinedSamplerName('er_sde_beta')).toEqual({
|
||||
sampler: 'er_sde',
|
||||
scheduler: 'beta',
|
||||
});
|
||||
});
|
||||
|
||||
it('returns null for sampler-only values', () => {
|
||||
expect(parseCombinedSamplerName('Euler a')).toBeNull();
|
||||
expect(parseCombinedSamplerName('LCM')).toBeNull();
|
||||
});
|
||||
|
||||
it('returns null for unrecognised suffix', () => {
|
||||
expect(parseCombinedSamplerName('Euler something_unknown')).toBeNull();
|
||||
});
|
||||
|
||||
it('returns null for null/empty', () => {
|
||||
expect(parseCombinedSamplerName(null)).toBeNull();
|
||||
expect(parseCombinedSamplerName('')).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// resolveSamplerScheduler — the main resolver used by the send feature
|
||||
// ---------------------------------------------------------------------------
|
||||
describe('resolveSamplerScheduler', () => {
|
||||
// --- Category 1: simple display names ---
|
||||
it('resolves Euler → euler', () => {
|
||||
expect(resolveSamplerScheduler('Euler')).toEqual({ sampler: 'euler', scheduler: null });
|
||||
});
|
||||
|
||||
it('resolves Euler a → euler_ancestral', () => {
|
||||
expect(resolveSamplerScheduler('Euler a')).toEqual({ sampler: 'euler_ancestral', scheduler: null });
|
||||
});
|
||||
|
||||
it('resolves DPM++ 2M → dpmpp_2m', () => {
|
||||
expect(resolveSamplerScheduler('DPM++ 2M')).toEqual({ sampler: 'dpmpp_2m', scheduler: null });
|
||||
});
|
||||
|
||||
it('resolves LCM → lcm', () => {
|
||||
expect(resolveSamplerScheduler('LCM')).toEqual({ sampler: 'lcm', scheduler: null });
|
||||
});
|
||||
|
||||
// --- Category 2: already-internal names ---
|
||||
it('passes through lowercase internal names', () => {
|
||||
expect(resolveSamplerScheduler('euler')).toEqual({ sampler: 'euler', scheduler: null });
|
||||
expect(resolveSamplerScheduler('heunpp2')).toEqual({ sampler: 'heunpp2', scheduler: null });
|
||||
expect(resolveSamplerScheduler('lcm')).toEqual({ sampler: 'lcm', scheduler: null });
|
||||
expect(resolveSamplerScheduler('er_sde')).toEqual({ sampler: 'er_sde', scheduler: null });
|
||||
});
|
||||
|
||||
// --- Category 3: combined names ---
|
||||
it('resolves Euler a Karras → euler_ancestral + karras', () => {
|
||||
expect(resolveSamplerScheduler('Euler a Karras')).toEqual({
|
||||
sampler: 'euler_ancestral',
|
||||
scheduler: 'karras',
|
||||
});
|
||||
});
|
||||
|
||||
it('resolves DPM++ 2M Karras → dpmpp_2m + karras', () => {
|
||||
expect(resolveSamplerScheduler('DPM++ 2M Karras')).toEqual({
|
||||
sampler: 'dpmpp_2m',
|
||||
scheduler: 'karras',
|
||||
});
|
||||
});
|
||||
|
||||
// --- Category 4: scheduler-only ---
|
||||
it('resolves scheduler-only values', () => {
|
||||
expect(resolveSamplerScheduler('karras')).toEqual({ sampler: null, scheduler: 'karras' });
|
||||
expect(resolveSamplerScheduler('simple')).toEqual({ sampler: null, scheduler: 'simple' });
|
||||
expect(resolveSamplerScheduler('sgm_uniform')).toEqual({ sampler: null, scheduler: 'sgm_uniform' });
|
||||
});
|
||||
|
||||
// --- Category 5: unrecognised / model-specific ---
|
||||
it('returns null+null for unrecognised values', () => {
|
||||
const result = resolveSamplerScheduler('AYS SDXL');
|
||||
expect(result.sampler).toBeNull();
|
||||
expect(result.scheduler).toBeNull();
|
||||
});
|
||||
|
||||
it('returns null+null for Undefined', () => {
|
||||
const result = resolveSamplerScheduler('Undefined');
|
||||
expect(result.sampler).toBeNull();
|
||||
expect(result.scheduler).toBeNull();
|
||||
});
|
||||
|
||||
it('returns null+null for model-specific values', () => {
|
||||
expect(resolveSamplerScheduler('Seedream-V45').sampler).toBeNull();
|
||||
expect(resolveSamplerScheduler('GPT-Image-2').sampler).toBeNull();
|
||||
});
|
||||
|
||||
// --- Category 6: edge cases ---
|
||||
it('returns null+null for null / empty / whitespace', () => {
|
||||
expect(resolveSamplerScheduler(null)).toEqual({ sampler: null, scheduler: null });
|
||||
expect(resolveSamplerScheduler('')).toEqual({ sampler: null, scheduler: null });
|
||||
expect(resolveSamplerScheduler(' ')).toEqual({ sampler: null, scheduler: null });
|
||||
});
|
||||
|
||||
it('handles slash-separated custom format (extracts last segment)', () => {
|
||||
// "multistep/dpmpp_2m_simple" — extracts last segment but the recursive
|
||||
// call hits the "already internal name" regex before combined-name parsing,
|
||||
// so it returns the raw segment as the sampler name.
|
||||
const result = resolveSamplerScheduler('multistep/dpmpp_2m_simple');
|
||||
expect(result.sampler).toBe('dpmpp_2m_simple');
|
||||
expect(result.scheduler).toBeNull();
|
||||
});
|
||||
|
||||
it('handles parse-error value (None', () => {
|
||||
const result = resolveSamplerScheduler('(None');
|
||||
expect(result.sampler).toBeNull();
|
||||
expect(result.scheduler).toBeNull();
|
||||
});
|
||||
});
|
||||
|
||||
// ---------------------------------------------------------------------------
|
||||
// findMatchingWidgets
|
||||
// ---------------------------------------------------------------------------
|
||||
describe('findMatchingWidgets', () => {
|
||||
const resolved = {
|
||||
seed: 42,
|
||||
steps: 30,
|
||||
cfg: 7,
|
||||
sampler: 'euler_ancestral',
|
||||
scheduler: 'karras',
|
||||
};
|
||||
|
||||
it('matches seed to seed widget', () => {
|
||||
const updates = findMatchingWidgets(['seed', 'steps', 'cfg', 'sampler_name', 'scheduler'], resolved);
|
||||
expect(updates).toContainEqual({ widgetName: 'seed', value: '42' });
|
||||
expect(updates).toContainEqual({ widgetName: 'steps', value: '30' });
|
||||
expect(updates).toContainEqual({ widgetName: 'cfg', value: '7' });
|
||||
expect(updates).toContainEqual({ widgetName: 'sampler_name', value: 'euler_ancestral' });
|
||||
expect(updates).toContainEqual({ widgetName: 'scheduler', value: 'karras' });
|
||||
});
|
||||
|
||||
it('skips undefined/null params', () => {
|
||||
const updates = findMatchingWidgets(['seed', 'steps'], { seed: 42, steps: null, cfg: undefined });
|
||||
expect(updates).toHaveLength(1);
|
||||
expect(updates[0].widgetName).toBe('seed');
|
||||
});
|
||||
|
||||
it('matches noise_seed when seed widget not present', () => {
|
||||
const updates = findMatchingWidgets(['noise_seed', 'steps', 'cfg', 'sampler_name', 'scheduler'], resolved);
|
||||
const seedUpdate = updates.find(u => u.widgetName === 'noise_seed');
|
||||
expect(seedUpdate).toBeDefined();
|
||||
expect(seedUpdate.value).toBe('42');
|
||||
});
|
||||
|
||||
it('matches rgthree-style sampler widget name', () => {
|
||||
const updates = findMatchingWidgets(['sampler', 'scheduler'], { sampler: 'euler', scheduler: 'karras' });
|
||||
expect(updates).toContainEqual({ widgetName: 'sampler', value: 'euler' });
|
||||
});
|
||||
|
||||
it('returns empty array for empty widget list', () => {
|
||||
expect(findMatchingWidgets([], resolved)).toEqual([]);
|
||||
expect(findMatchingWidgets(null, resolved)).toEqual([]);
|
||||
});
|
||||
|
||||
it('handles case-insensitive widget name matching', () => {
|
||||
const updates = findMatchingWidgets(['SEED', 'STEPS', 'CFG'], resolved);
|
||||
expect(updates).toHaveLength(3);
|
||||
});
|
||||
|
||||
it('returns updates in param order (seed, steps, cfg, sampler, scheduler)', () => {
|
||||
const updates = findMatchingWidgets(['seed', 'steps', 'cfg', 'sampler_name', 'scheduler'], resolved);
|
||||
expect(updates.map(u => u.widgetName)).toEqual(['seed', 'steps', 'cfg', 'sampler_name', 'scheduler']);
|
||||
});
|
||||
});
|
||||
@@ -80,6 +80,8 @@ FALSE_POSITIVES = {
|
||||
"array",
|
||||
"object",
|
||||
"non.existent.key",
|
||||
"statistics.modelTypes.",
|
||||
"statistics.",
|
||||
}
|
||||
|
||||
SPECIAL_UI_HELPER_KEYS = {
|
||||
|
||||
@@ -733,6 +733,65 @@ def test_lora_manager_cache_updates_when_loras_removed(metadata_registry):
|
||||
assert "lora_node" not in metadata[LORAS]
|
||||
|
||||
|
||||
def test_lora_text_loader_extracts_loras_from_syntax(metadata_registry):
|
||||
"""LoraTextLoaderLM extractor parses <lora:name:strength> tags from lora_syntax string."""
|
||||
metadata_registry.start_collection("prompt1")
|
||||
|
||||
metadata_registry.record_node_execution(
|
||||
"text_loader",
|
||||
"LoraTextLoaderLM",
|
||||
{"lora_syntax": ["<lora:foo:0.8> <lora:bar:1.0>"]},
|
||||
None,
|
||||
)
|
||||
|
||||
metadata = metadata_registry.get_metadata("prompt1")
|
||||
|
||||
assert "text_loader" in metadata[LORAS]
|
||||
lora_list = metadata[LORAS]["text_loader"]["lora_list"]
|
||||
assert len(lora_list) == 2
|
||||
assert lora_list[0] == {"name": "foo", "strength": 0.8}
|
||||
assert lora_list[1] == {"name": "bar", "strength": 1.0}
|
||||
|
||||
|
||||
def test_lora_text_loader_extracts_loras_from_lora_stack(metadata_registry):
|
||||
"""LoraTextLoaderLM extractor also processes the optional lora_stack input."""
|
||||
metadata_registry.start_collection("prompt1")
|
||||
|
||||
metadata_registry.record_node_execution(
|
||||
"stack_loader",
|
||||
"LoraTextLoaderLM",
|
||||
{
|
||||
"lora_syntax": [""],
|
||||
"lora_stack": (("/models/loras/my-lora.safetensors", 0.6, 0.5),),
|
||||
},
|
||||
None,
|
||||
)
|
||||
|
||||
metadata = metadata_registry.get_metadata("prompt1")
|
||||
|
||||
assert "stack_loader" in metadata[LORAS]
|
||||
lora_list = metadata[LORAS]["stack_loader"]["lora_list"]
|
||||
assert len(lora_list) == 1
|
||||
assert lora_list[0] == {"name": "my-lora", "strength": 0.6}
|
||||
|
||||
|
||||
def test_lora_text_loader_handles_empty_syntax(metadata_registry):
|
||||
"""LoraTextLoaderLM extractor produces no metadata when no loras are provided."""
|
||||
metadata_registry.start_collection("prompt1")
|
||||
|
||||
metadata_registry.record_node_execution(
|
||||
"empty_loader",
|
||||
"LoraTextLoaderLM",
|
||||
{"lora_syntax": [""]},
|
||||
None,
|
||||
)
|
||||
|
||||
metadata = metadata_registry.get_metadata("prompt1")
|
||||
|
||||
assert "empty_loader" not in metadata[LORAS]
|
||||
|
||||
|
||||
|
||||
def test_lora_manager_checkpoint_and_unet_loaders_extract_models(metadata_registry):
|
||||
metadata_registry.start_collection("prompt1")
|
||||
|
||||
|
||||
@@ -26,7 +26,7 @@
|
||||
'messages': list([
|
||||
]),
|
||||
'settings': dict({
|
||||
'civitai_api_key': 'test-key',
|
||||
'civitai_api_key_set': True,
|
||||
'language': 'en',
|
||||
'theme': 'dark',
|
||||
}),
|
||||
|
||||
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Reference in New Issue
Block a user