Merge branch 'main' into dev

.github/ISSUE_TEMPLATE/bug_report.md

@@ -0,0 +1,36 @@
+---
+name: Bug report
+about: Create a report to help us improve
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+### **LoRA Manager Version**
+- Version: `vX.X.X`
+
+### **Environment Information**
+- **Operating System**: (e.g., Windows 11, macOS Ventura, Ubuntu 22.04)
+- **Browser & Version**: (e.g., Chrome 120.0.0, Edge 115.0.0)
+
+### **Issue Description**
+- Describe the issue in detail.
+
+### **Steps to Reproduce**
+1. Open LoRA Manager in [your browser].
+2. Perform [specific action].
+3. Observe the issue.
+
+### **Expected Behavior**
+- What did you expect to happen?
+
+### **Screenshots** *(If applicable)*
+- Upload screenshots or screen recordings.
+
+### **Logs**
+- Provide the **ComfyUI startup log** and any relevant error messages.
+- Check the browser developer console (F12 → Console tab) and attach any errors.
+
+### **Additional Context** *(Optional)*
+- Any other relevant details.

.github/ISSUE_TEMPLATE/feature_request.md

@@ -0,0 +1,20 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+**Is your feature request related to a problem? Please describe.**
+A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
+
+**Describe the solution you'd like**
+A clear and concise description of what you want to happen.
+
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.

README.md

@@ -13,6 +13,21 @@ Watch this quick tutorial to learn how to use the new one-click LoRA integration
 
 ## Release Notes
 
+### v0.7.37
+* Added NSFW content control settings (blur mature content and SFW-only filter)
+* Implemented intelligent blur effects for previews and showcase media
+* Added manual content rating option through context menu
+* Enhanced user experience with configurable content visibility
+* Fixed various bugs and improved stability
+
+### v0.7.36
+* Enhanced LoRA details view with model descriptions and tags display
+* Added tag filtering system for improved model discovery
+* Implemented editable trigger words functionality
+* Improved TriggerWord Toggle node with new group mode option for granular control
+* Added new Lora Stacker node with cross-compatibility support (works with efficiency nodes, ComfyRoll, easy-use, etc.)
+* Fixed several bugs
+
 ### v0.7.35-beta
 * Added base model filtering
 * Implemented bulk operations (copy syntax, move multiple LoRAs)

__init__.py

@@ -1,10 +1,12 @@
 from .py.lora_manager import LoraManager
 from .py.nodes.lora_loader import LoraManagerLoader
 from .py.nodes.trigger_word_toggle import TriggerWordToggle
+from .py.nodes.lora_stacker import LoraStacker
 
 NODE_CLASS_MAPPINGS = {
     LoraManagerLoader.NAME: LoraManagerLoader,
-    TriggerWordToggle.NAME: TriggerWordToggle
+    TriggerWordToggle.NAME: TriggerWordToggle,
+    LoraStacker.NAME: LoraStacker
 }
 
 WEB_DIRECTORY = "./web/comfyui"

py/nodes/lora_loader.py

@@ -8,7 +8,7 @@ from .utils import FlexibleOptionalInputType, any_type
 
 class LoraManagerLoader:
     NAME = "Lora Loader (LoraManager)"
-    CATEGORY = "loaders"
+    CATEGORY = "Lora Manager/loaders"
 
     @classmethod
     def INPUT_TYPES(cls):
@@ -49,11 +49,32 @@ class LoraManagerLoader:
                             return relative_path, trigger_words
         return lora_name, []  # Fallback if not found
 
+    def extract_lora_name(self, lora_path):
+        """Extract the lora name from a lora path (e.g., 'IL\\aorunIllstrious.safetensors' -> 'aorunIllstrious')"""
+        # Get the basename without extension
+        basename = os.path.basename(lora_path)
+        return os.path.splitext(basename)[0]
+    
     def load_loras(self, model, clip, text, **kwargs):
-        """Loads multiple LoRAs based on the kwargs input."""
+        """Loads multiple LoRAs based on the kwargs input and lora_stack."""
         loaded_loras = []
         all_trigger_words = []
         
+        lora_stack = kwargs.get('lora_stack', None)
+        # First process lora_stack if available
+        if lora_stack:
+            for lora_path, model_strength, clip_strength in lora_stack:
+                # Apply the LoRA using the provided path and strengths
+                model, clip = LoraLoader().load_lora(model, clip, lora_path, model_strength, clip_strength)
+                
+                # Extract lora name for trigger words lookup
+                lora_name = self.extract_lora_name(lora_path)
+                _, trigger_words = asyncio.run(self.get_lora_info(lora_name))
+                
+                all_trigger_words.extend(trigger_words)
+                loaded_loras.append(f"{lora_name}: {model_strength}")
+        
+        # Then process loras from kwargs
         if 'loras' in kwargs:
             for lora in kwargs['loras']:
                 if not lora.get('active', False):
@@ -72,6 +93,7 @@ class LoraManagerLoader:
                 # Add trigger words to collection
                 all_trigger_words.extend(trigger_words)
         
-        trigger_words_text = ", ".join(all_trigger_words) if all_trigger_words else ""
+        # use ',, ' to separate trigger words for group mode
+        trigger_words_text = ",, ".join(all_trigger_words) if all_trigger_words else ""
 
         return (model, clip, trigger_words_text)

py/nodes/lora_stacker.py

@@ -0,0 +1,91 @@
+from comfy.comfy_types import IO # type: ignore
+from ..services.lora_scanner import LoraScanner
+from ..config import config
+import asyncio
+import os
+from .utils import FlexibleOptionalInputType, any_type
+
+class LoraStacker:
+    NAME = "Lora Stacker (LoraManager)"
+    CATEGORY = "Lora Manager/stackers"
+
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "text": (IO.STRING, {
+                    "multiline": True, 
+                    "dynamicPrompts": True, 
+                    "tooltip": "Format: <lora:lora_name:strength> separated by spaces or punctuation",
+                    "placeholder": "LoRA syntax input: <lora:name:strength>"
+                }),
+            },
+            "optional": FlexibleOptionalInputType(any_type),
+        }
+
+    RETURN_TYPES = ("LORA_STACK", IO.STRING)
+    RETURN_NAMES = ("LORA_STACK", "trigger_words")
+    FUNCTION = "stack_loras"
+
+    async def get_lora_info(self, lora_name):
+        """Get the lora path and trigger words from cache"""
+        scanner = await LoraScanner.get_instance()
+        cache = await scanner.get_cached_data()
+        
+        for item in cache.raw_data:
+            if item.get('file_name') == lora_name:
+                file_path = item.get('file_path')
+                if file_path:
+                    for root in config.loras_roots:
+                        root = root.replace(os.sep, '/')
+                        if file_path.startswith(root):
+                            relative_path = os.path.relpath(file_path, root).replace(os.sep, '/')
+                            # Get trigger words from civitai metadata
+                            civitai = item.get('civitai', {})
+                            trigger_words = civitai.get('trainedWords', []) if civitai else []
+                            return relative_path, trigger_words
+        return lora_name, []  # Fallback if not found
+
+    def extract_lora_name(self, lora_path):
+        """Extract the lora name from a lora path (e.g., 'IL\\aorunIllstrious.safetensors' -> 'aorunIllstrious')"""
+        # Get the basename without extension
+        basename = os.path.basename(lora_path)
+        return os.path.splitext(basename)[0]
+    
+    def stack_loras(self, text, **kwargs):
+        """Stacks multiple LoRAs based on the kwargs input without loading them."""
+        stack = []
+        all_trigger_words = []
+        
+        # Process existing lora_stack if available
+        lora_stack = kwargs.get('lora_stack', None)
+        if lora_stack:
+            stack.extend(lora_stack)
+            # Get trigger words from existing stack entries
+            for lora_path, _, _ in lora_stack:
+                lora_name = self.extract_lora_name(lora_path)
+                _, trigger_words = asyncio.run(self.get_lora_info(lora_name))
+                all_trigger_words.extend(trigger_words)
+        
+        if 'loras' in kwargs:
+            for lora in kwargs['loras']:
+                if not lora.get('active', False):
+                    continue
+                    
+                lora_name = lora['name']
+                model_strength = float(lora['strength'])
+                clip_strength = model_strength  # Using same strength for both as in the original loader
+                
+                # Get lora path and trigger words
+                lora_path, trigger_words = asyncio.run(self.get_lora_info(lora_name))
+                
+                # Add to stack without loading
+                stack.append((lora_path, model_strength, clip_strength))
+                
+                # Add trigger words to collection
+                all_trigger_words.extend(trigger_words)
+        
+        # use ',, ' to separate trigger words for group mode
+        trigger_words_text = ",, ".join(all_trigger_words) if all_trigger_words else ""
+
+        return (stack, trigger_words_text)

py/nodes/trigger_word_toggle.py

@@ -1,17 +1,18 @@
 import json
+import re
 from server import PromptServer # type: ignore
 from .utils import FlexibleOptionalInputType, any_type
 
 class TriggerWordToggle:
     NAME = "TriggerWord Toggle (LoraManager)"
-    CATEGORY = "lora manager"
+    CATEGORY = "Lora Manager/utils"
     DESCRIPTION = "Toggle trigger words on/off"
     
     @classmethod
     def INPUT_TYPES(cls):
         return {
             "required": {
-                "trigger_words": ("STRING", {"defaultInput": True, "forceInput": True}),
+                "group_mode": ("BOOLEAN", {"default": True}),
             },
             "optional": FlexibleOptionalInputType(any_type),
             "hidden": {
@@ -23,7 +24,8 @@ class TriggerWordToggle:
     RETURN_NAMES = ("filtered_trigger_words",)
     FUNCTION = "process_trigger_words"
 
-    def process_trigger_words(self, trigger_words, id, **kwargs):
+    def process_trigger_words(self, id, group_mode, **kwargs):
+        trigger_words = kwargs.get("trigger_words", "")
         # Send trigger words to frontend
         PromptServer.instance.send_sync("trigger_word_update", {
             "id": id,
@@ -41,20 +43,33 @@ class TriggerWordToggle:
                 if isinstance(trigger_data, str):
                     trigger_data = json.loads(trigger_data)
                 
-                # Create dictionaries to track active state of words
+                # Create dictionaries to track active state of words or groups
                 active_state = {item['text']: item.get('active', False) for item in trigger_data}
                 
-                # Split original trigger words
-                original_words = [word.strip() for word in trigger_words.split(',')]
-                
-                # Filter words: keep those not in toggle_trigger_words or those that are active
-                filtered_words = [word for word in original_words if word not in active_state or active_state[word]]
-                
-                # Join them in the same format as input
-                if filtered_words:
-                    filtered_triggers = ', '.join(filtered_words)
+                if group_mode:
+                    # Split by two or more consecutive commas to get groups
+                    groups = re.split(r',{2,}', trigger_words)
+                    # Remove leading/trailing whitespace from each group
+                    groups = [group.strip() for group in groups]
+                    
+                    # Filter groups: keep those not in toggle_trigger_words or those that are active
+                    filtered_groups = [group for group in groups if group not in active_state or active_state[group]]
+                    
+                    if filtered_groups:
+                        filtered_triggers = ', '.join(filtered_groups)
+                    else:
+                        filtered_triggers = ""
                 else:
-                    filtered_triggers = ""
+                    # Original behavior for individual words mode
+                    original_words = [word.strip() for word in trigger_words.split(',')]
+                    # Filter out empty strings
+                    original_words = [word for word in original_words if word]
+                    filtered_words = [word for word in original_words if word not in active_state or active_state[word]]
+                    
+                    if filtered_words:
+                        filtered_triggers = ', '.join(filtered_words)
+                    else:
+                        filtered_triggers = ""
                     
             except Exception as e:
                 print(f"Error processing trigger words: {e}")

py/nodes/utils.py

@@ -4,6 +4,7 @@ class AnyType(str):
   def __ne__(self, __value: object) -> bool:
     return False
 
+# Credit to Regis Gaughan, III (rgthree)
 class FlexibleOptionalInputType(dict):
   """A special class to make flexible nodes that pass data to our python handlers.
 

py/routes/api_routes.py

@@ -4,6 +4,8 @@ import logging
 from aiohttp import web
 from typing import Dict, List
 
+from ..utils.model_utils import determine_base_model
+
 from ..services.file_monitor import LoraFileMonitor
 from ..services.download_manager import DownloadManager
 from ..services.civitai_client import CivitaiClient
@@ -42,9 +44,11 @@ class ApiRoutes:
         app.router.add_post('/api/download-lora', routes.download_lora)
         app.router.add_post('/api/settings', routes.update_settings)
         app.router.add_post('/api/move_model', routes.move_model)
+        app.router.add_get('/api/lora-model-description', routes.get_lora_model_description)  # Add new route
         app.router.add_post('/loras/api/save-metadata', routes.save_metadata)
         app.router.add_get('/api/lora-preview-url', routes.get_lora_preview_url)  # Add new route
         app.router.add_post('/api/move_models_bulk', routes.move_models_bulk)
+        app.router.add_get('/api/top-tags', routes.get_top_tags)  # Add new route for top tags
         app.router.add_get('/api/recipes', cls.handle_get_recipes)
 
         # Add update check routes
@@ -132,6 +136,11 @@ class ApiRoutes:
             base_models = request.query.get('base_models', '').split(',')
             base_models = [model.strip() for model in base_models if model.strip()]
             
+            # Parse search options
+            search_filename = request.query.get('search_filename', 'true').lower() == 'true'
+            search_modelname = request.query.get('search_modelname', 'true').lower() == 'true'
+            search_tags = request.query.get('search_tags', 'false').lower() == 'true'
+            
             # Validate parameters
             if page < 1 or page_size < 1 or page_size > 100:
                 return web.json_response({
@@ -143,6 +152,10 @@ class ApiRoutes:
                     'error': 'Invalid sort parameter'
                 }, status=400)
             
+            # Parse tags filter parameter
+            tags = request.query.get('tags', '').split(',')
+            tags = [tag.strip() for tag in tags if tag.strip()]
+            
             # Get paginated data with search and filters
             result = await self.scanner.get_paginated_data(
                 page=page,
@@ -152,7 +165,13 @@ class ApiRoutes:
                 search=search,
                 fuzzy=fuzzy,
                 recursive=recursive,
-                base_models=base_models  # Pass base models filter
+                base_models=base_models,  # Pass base models filter
+                tags=tags,  # Add tags parameter
+                search_options={
+                    'filename': search_filename,
+                    'modelname': search_modelname,
+                    'tags': search_tags
+                }
             )
             
             # Format the response data
@@ -185,12 +204,15 @@ class ApiRoutes:
             "model_name": lora["model_name"],
             "file_name": lora["file_name"],
             "preview_url": config.get_preview_static_url(lora["preview_url"]),
+            "preview_nsfw_level": lora.get("preview_nsfw_level", 0),
             "base_model": lora["base_model"],
             "folder": lora["folder"],
             "sha256": lora["sha256"],
             "file_path": lora["file_path"].replace(os.sep, "/"),
             "file_size": lora["size"],
             "modified": lora["modified"],
+            "tags": lora["tags"],
+            "modelDescription": lora["modelDescription"],
             "from_civitai": lora.get("from_civitai", True),
             "usage_tips": lora.get("usage_tips", ""),
             "notes": lora.get("notes", ""),
@@ -333,8 +355,16 @@ class ApiRoutes:
         
         # Update model name if available
         if 'model' in civitai_metadata:
-            local_metadata['model_name'] = civitai_metadata['model'].get('name', 
-                                                                       local_metadata.get('model_name'))
+            if civitai_metadata.get('model', {}).get('name'):
+                local_metadata['model_name'] = determine_base_model(civitai_metadata['model']['name'])
+        
+            # Fetch additional model metadata (description and tags) if we have model ID
+            model_id = civitai_metadata['modelId']
+            if model_id:
+                model_metadata, _ = await client.get_model_metadata(str(model_id))
+                if model_metadata:
+                    local_metadata['modelDescription'] = model_metadata.get('description', '')
+                    local_metadata['tags'] = model_metadata.get('tags', [])
         
         # Update base model
         local_metadata['base_model'] = civitai_metadata.get('baseModel')
@@ -350,6 +380,7 @@ class ApiRoutes:
                 
                 if await client.download_preview_image(first_preview['url'], preview_path):
                     local_metadata['preview_url'] = preview_path.replace(os.sep, '/')
+                    local_metadata['preview_nsfw_level'] = first_preview.get('nsfwLevel', 0)
 
         # Save updated metadata
         with open(metadata_path, 'w', encoding='utf-8') as f:
@@ -369,7 +400,7 @@ class ApiRoutes:
             # 准备要处理的 loras
             to_process = [
                 lora for lora in cache.raw_data 
-                if lora.get('sha256') and not lora.get('civitai') and lora.get('from_civitai')
+                if lora.get('sha256') and (not lora.get('civitai') or 'id' not in lora.get('civitai')) and lora.get('from_civitai')  # TODO: for lora not from CivitAI but added traineWords
             ]
             total_to_process = len(to_process)
             
@@ -547,6 +578,8 @@ class ApiRoutes:
             # Validate and update settings
             if 'civitai_api_key' in data:
                 settings.set('civitai_api_key', data['civitai_api_key'])
+            if 'show_only_sfw' in data:
+                settings.set('show_only_sfw', data['show_only_sfw'])
             
             return web.json_response({'success': True})
         except Exception as e:
@@ -602,8 +635,15 @@ class ApiRoutes:
             else:
                 metadata = {}
 
-            # Update metadata with new values
-            metadata.update(metadata_updates)
+            # Handle nested updates (for civitai.trainedWords)
+            for key, value in metadata_updates.items():
+                if isinstance(value, dict) and key in metadata and isinstance(metadata[key], dict):
+                    # Deep update for nested dictionaries
+                    for nested_key, nested_value in value.items():
+                        metadata[key][nested_key] = nested_value
+                else:
+                    # Regular update for top-level keys
+                    metadata[key] = value
 
             # Save updated metadata
             with open(metadata_path, 'w', encoding='utf-8') as f:
@@ -694,6 +734,97 @@ class ApiRoutes:
             logger.error(f"Error moving models in bulk: {e}", exc_info=True)
             return web.Response(text=str(e), status=500)
 
+    async def get_lora_model_description(self, request: web.Request) -> web.Response:
+        """Get model description for a Lora model"""
+        try:
+            # Get parameters
+            model_id = request.query.get('model_id')
+            file_path = request.query.get('file_path')
+            
+            if not model_id:
+                return web.json_response({
+                    'success': False, 
+                    'error': 'Model ID is required'
+                }, status=400)
+            
+            # Check if we already have the description stored in metadata
+            description = None
+            tags = []
+            if file_path:
+                metadata_path = os.path.splitext(file_path)[0] + '.metadata.json'
+                if os.path.exists(metadata_path):
+                    try:
+                        with open(metadata_path, 'r', encoding='utf-8') as f:
+                            metadata = json.load(f)
+                            description = metadata.get('modelDescription')
+                            tags = metadata.get('tags', [])
+                    except Exception as e:
+                        logger.error(f"Error loading metadata from {metadata_path}: {e}")
+            
+            # If description is not in metadata, fetch from CivitAI
+            if not description:
+                logger.info(f"Fetching model metadata for model ID: {model_id}")
+                model_metadata, _ = await self.civitai_client.get_model_metadata(model_id)
+                
+                if model_metadata:
+                    description = model_metadata.get('description')
+                    tags = model_metadata.get('tags', [])
+                
+                    # Save the metadata to file if we have a file path and got metadata
+                    if file_path:
+                        try:
+                            metadata_path = os.path.splitext(file_path)[0] + '.metadata.json'
+                            if os.path.exists(metadata_path):
+                                with open(metadata_path, 'r', encoding='utf-8') as f:
+                                    metadata = json.load(f)
+                                
+                                metadata['modelDescription'] = description
+                                metadata['tags'] = tags
+                                
+                                with open(metadata_path, 'w', encoding='utf-8') as f:
+                                    json.dump(metadata, f, indent=2, ensure_ascii=False)
+                                    logger.info(f"Saved model metadata to file for {file_path}")
+                        except Exception as e:
+                            logger.error(f"Error saving model metadata: {e}")
+            
+            return web.json_response({
+                'success': True,
+                'description': description or "<p>No model description available.</p>",
+                'tags': tags
+            })
+            
+        except Exception as e:
+            logger.error(f"Error getting model metadata: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+
+    async def get_top_tags(self, request: web.Request) -> web.Response:
+        """Handle request for top tags sorted by frequency"""
+        try:
+            # Parse query parameters
+            limit = int(request.query.get('limit', '20'))
+            
+            # Validate limit
+            if limit < 1 or limit > 100:
+                limit = 20  # Default to a reasonable limit
+                
+            # Get top tags
+            top_tags = await self.scanner.get_top_tags(limit)
+            
+            return web.json_response({
+                'success': True,
+                'tags': top_tags
+            })
+            
+        except Exception as e:
+            logger.error(f"Error getting top tags: {str(e)}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': 'Internal server error'
+            }, status=500)
+
     @staticmethod
     async def handle_get_recipes(request):
         """API endpoint for getting paginated recipes"""

py/routes/lora_routes.py

@@ -28,10 +28,16 @@ class LoraRoutes:
             "model_name": lora["model_name"],
             "file_name": lora["file_name"],   
             "preview_url": config.get_preview_static_url(lora["preview_url"]),
+            "preview_nsfw_level": lora.get("preview_nsfw_level", 0),
             "base_model": lora["base_model"],
             "folder": lora["folder"],
             "sha256": lora["sha256"],
             "file_path": lora["file_path"].replace(os.sep, "/"),
+            "size": lora["size"],
+            "tags": lora["tags"],
+            "modelDescription": lora["modelDescription"],
+            "usage_tips": lora["usage_tips"],
+            "notes": lora["notes"],
             "modified": lora["modified"],
             "from_civitai": lora.get("from_civitai", True),
             "civitai": self._filter_civitai_data(lora.get("civitai", {}))

py/services/civitai_client.py

@@ -163,6 +163,53 @@ class CivitaiClient:
             logger.error(f"Error fetching model version info: {e}")
             return None
 
+    async def get_model_metadata(self, model_id: str) -> Tuple[Optional[Dict], int]:
+        """Fetch model metadata (description and tags) from Civitai API
+        
+        Args:
+            model_id: The Civitai model ID
+            
+        Returns:
+            Tuple[Optional[Dict], int]: A tuple containing:
+                - A dictionary with model metadata or None if not found
+                - The HTTP status code from the request
+        """
+        try:
+            session = await self.session
+            headers = self._get_request_headers()
+            url = f"{self.base_url}/models/{model_id}"
+            
+            async with session.get(url, headers=headers) as response:
+                status_code = response.status
+                
+                if status_code != 200:
+                    logger.warning(f"Failed to fetch model metadata: Status {status_code}")
+                    return None, status_code
+                
+                data = await response.json()
+                
+                # Extract relevant metadata
+                metadata = {
+                    "description": data.get("description") or "No model description available",
+                    "tags": data.get("tags", [])
+                }
+                
+                if metadata["description"] or metadata["tags"]:
+                    return metadata, status_code
+                else:
+                    logger.warning(f"No metadata found for model {model_id}")
+                    return None, status_code
+                
+        except Exception as e:
+            logger.error(f"Error fetching model metadata: {e}", exc_info=True)
+            return None, 0
+
+    # Keep old method for backward compatibility, delegating to the new one
+    async def get_model_description(self, model_id: str) -> Optional[str]:
+        """Fetch the model description from Civitai API (Legacy method)"""
+        metadata, _ = await self.get_model_metadata(model_id)
+        return metadata.get("description") if metadata else None
+
     async def close(self):
         """Close the session if it exists"""
         if self._session is not None:

py/services/download_manager.py

@@ -51,6 +51,16 @@ class DownloadManager:
             # 5. 准备元数据
             metadata = LoraMetadata.from_civitai_info(version_info, file_info, save_path)
             
+            # 5.1 获取并更新模型标签和描述信息
+            model_id = version_info.get('modelId')
+            if model_id:
+                model_metadata, _ = await self.civitai_client.get_model_metadata(str(model_id))
+                if model_metadata:
+                    if model_metadata.get("tags"):
+                        metadata.tags = model_metadata.get("tags", [])
+                    if model_metadata.get("description"):
+                        metadata.modelDescription = model_metadata.get("description", "")
+            
             # 6. 开始下载流程
             result = await self._execute_download(
                 download_url=download_url,
@@ -86,6 +96,7 @@ class DownloadManager:
                 preview_path = os.path.splitext(save_path)[0] + '.preview' + preview_ext
                 if await self.civitai_client.download_preview_image(images[0]['url'], preview_path):
                     metadata.preview_url = preview_path.replace(os.sep, '/')
+                    metadata.preview_nsfw_level = images[0].get('nsfwLevel', 0)
                     with open(metadata_path, 'w', encoding='utf-8') as f:
                         json.dump(metadata.to_dict(), f, indent=2, ensure_ascii=False)
 

py/services/file_monitor.py

@@ -98,6 +98,10 @@ class LoraFileHandler(FileSystemEventHandler):
                         # Scan new file
                         lora_data = await self.scanner.scan_single_lora(file_path)
                         if lora_data:
+                            # Update tags count
+                            for tag in lora_data.get('tags', []):
+                                self.scanner._tags_count[tag] = self.scanner._tags_count.get(tag, 0) + 1
+                            
                             cache.raw_data.append(lora_data)
                             new_folders.add(lora_data['folder'])
                             # Update hash index
@@ -109,6 +113,16 @@ class LoraFileHandler(FileSystemEventHandler):
                             needs_resort = True
                             
                     elif action == 'remove':
+                        # Find the lora to remove so we can update tags count
+                        lora_to_remove = next((item for item in cache.raw_data if item['file_path'] == file_path), None)
+                        if lora_to_remove:
+                            # Update tags count by reducing counts
+                            for tag in lora_to_remove.get('tags', []):
+                                if tag in self.scanner._tags_count:
+                                    self.scanner._tags_count[tag] = max(0, self.scanner._tags_count[tag] - 1)
+                                    if self.scanner._tags_count[tag] == 0:
+                                        del self.scanner._tags_count[tag]
+                        
                         # Remove from cache and hash index
                         logger.info(f"Removing {file_path} from cache")
                         self.scanner._hash_index.remove_by_path(file_path)

py/services/lora_scanner.py

@@ -11,6 +11,8 @@ from ..utils.file_utils import load_metadata, get_file_info
 from .lora_cache import LoraCache
 from difflib import SequenceMatcher
 from .lora_hash_index import LoraHashIndex
+from .settings_manager import settings
+from ..utils.constants import NSFW_LEVELS
 import sys
 
 logger = logging.getLogger(__name__)
@@ -35,6 +37,7 @@ class LoraScanner:
             self._initialization_task: Optional[asyncio.Task] = None
             self._initialized = True
             self.file_monitor = None  # Add this line
+            self._tags_count = {}  # Add a dictionary to store tag counts
 
     def set_file_monitor(self, monitor):
         """Set file monitor instance"""
@@ -91,13 +94,21 @@ class LoraScanner:
             # Clear existing hash index
             self._hash_index.clear()
             
+            # Clear existing tags count
+            self._tags_count = {}
+            
             # Scan for new data
             raw_data = await self.scan_all_loras()
             
-            # Build hash index
+            # Build hash index and tags count
             for lora_data in raw_data:
                 if 'sha256' in lora_data and 'file_path' in lora_data:
                     self._hash_index.add_entry(lora_data['sha256'], lora_data['file_path'])
+                
+                # Count tags
+                if 'tags' in lora_data and lora_data['tags']:
+                    for tag in lora_data['tags']:
+                        self._tags_count[tag] = self._tags_count.get(tag, 0) + 1
             
             # Update cache
             self._cache = LoraCache(
@@ -159,7 +170,8 @@ class LoraScanner:
 
     async def get_paginated_data(self, page: int, page_size: int, sort_by: str = 'name', 
                                folder: str = None, search: str = None, fuzzy: bool = False,
-                               recursive: bool = False, base_models: list = None):
+                               recursive: bool = False, base_models: list = None, tags: list = None,
+                               search_options: dict = None) -> Dict:
         """Get paginated and filtered lora data
         
         Args:
@@ -171,22 +183,39 @@ class LoraScanner:
             fuzzy: Use fuzzy matching for search
             recursive: Include subfolders when folder filter is applied
             base_models: List of base models to filter by
+            tags: List of tags to filter by
+            search_options: Dictionary with search options (filename, modelname, tags)
         """
         cache = await self.get_cached_data()
 
-        # 先获取基础数据集
+        # Get default search options if not provided
+        if search_options is None:
+            search_options = {
+                'filename': True,
+                'modelname': True,
+                'tags': False
+            }
+
+        # Get the base data set
         filtered_data = cache.sorted_by_date if sort_by == 'date' else cache.sorted_by_name
         
-        # 应用文件夹过滤
+        # Apply SFW filtering if enabled
+        if settings.get('show_only_sfw', False):
+            filtered_data = [
+                item for item in filtered_data
+                if not item.get('preview_nsfw_level') or item.get('preview_nsfw_level') < NSFW_LEVELS['R']
+            ]
+        
+        # Apply folder filtering
         if folder is not None:
             if recursive:
-                # 递归模式：匹配所有以该文件夹开头的路径
+                # Recursive mode: match all paths starting with this folder
                 filtered_data = [
                     item for item in filtered_data 
                     if item['folder'].startswith(folder + '/') or item['folder'] == folder
                 ]
             else:
-                # 非递归模式：只匹配确切的文件夹
+                # Non-recursive mode: match exact folder
                 filtered_data = [
                     item for item in filtered_data 
                     if item['folder'] == folder
@@ -199,28 +228,27 @@ class LoraScanner:
                 if item.get('base_model') in base_models
             ]
         
-        # 应用搜索过滤
+        # Apply tag filtering
+        if tags and len(tags) > 0:
+            filtered_data = [
+                item for item in filtered_data
+                if any(tag in item.get('tags', []) for tag in tags)
+            ]
+        
+        # Apply search filtering
         if search:
             if fuzzy:
                 filtered_data = [
                     item for item in filtered_data 
-                    if any(
-                        self.fuzzy_match(str(value), search) 
-                        for value in [
-                            item.get('model_name', ''),
-                            item.get('base_model', '')
-                        ]
-                        if value
-                    )
+                    if self._fuzzy_search_match(item, search, search_options)
                 ]
             else:
-                # Original exact search logic
                 filtered_data = [
                     item for item in filtered_data 
-                    if search in str(item.get('model_name', '')).lower()
+                    if self._exact_search_match(item, search, search_options)
                 ]
 
-        # 计算分页
+        # Calculate pagination
         total_items = len(filtered_data)
         start_idx = (page - 1) * page_size
         end_idx = min(start_idx + page_size, total_items)
@@ -235,6 +263,44 @@ class LoraScanner:
         
         return result
 
+    def _fuzzy_search_match(self, item: Dict, search: str, search_options: Dict) -> bool:
+        """Check if an item matches the search term using fuzzy matching with search options"""
+        # Check filename if enabled
+        if search_options.get('filename', True) and self.fuzzy_match(item.get('file_name', ''), search):
+            return True
+            
+        # Check model name if enabled
+        if search_options.get('modelname', True) and self.fuzzy_match(item.get('model_name', ''), search):
+            return True
+            
+        # Check tags if enabled
+        if search_options.get('tags', False) and item.get('tags'):
+            for tag in item['tags']:
+                if self.fuzzy_match(tag, search):
+                    return True
+                    
+        return False
+
+    def _exact_search_match(self, item: Dict, search: str, search_options: Dict) -> bool:
+        """Check if an item matches the search term using exact matching with search options"""
+        search = search.lower()
+        
+        # Check filename if enabled
+        if search_options.get('filename', True) and search in item.get('file_name', '').lower():
+            return True
+            
+        # Check model name if enabled
+        if search_options.get('modelname', True) and search in item.get('model_name', '').lower():
+            return True
+            
+        # Check tags if enabled
+        if search_options.get('tags', False) and item.get('tags'):
+            for tag in item['tags']:
+                if search in tag.lower():
+                    return True
+                    
+        return False
+
     def invalidate_cache(self):
         """Invalidate the current cache"""
         self._cache = None
@@ -312,12 +378,86 @@ class LoraScanner:
         
         # Convert to dict and add folder info
         lora_data = metadata.to_dict()
+        # Try to fetch missing metadata from Civitai if needed
+        await self._fetch_missing_metadata(file_path, lora_data)
         rel_path = os.path.relpath(file_path, root_path)
         folder = os.path.dirname(rel_path)
         lora_data['folder'] = folder.replace(os.path.sep, '/')
         
         return lora_data
 
+    async def _fetch_missing_metadata(self, file_path: str, lora_data: Dict) -> None:
+        """Fetch missing description and tags from Civitai if needed
+        
+        Args:
+            file_path: Path to the lora file
+            lora_data: Lora metadata dictionary to update
+        """
+        try:
+            # Skip if already marked as deleted on Civitai
+            if lora_data.get('civitai_deleted', False):
+                logger.debug(f"Skipping metadata fetch for {file_path}: marked as deleted on Civitai")
+                return
+
+            # Check if we need to fetch additional metadata from Civitai
+            needs_metadata_update = False
+            model_id = None
+            
+            # Check if we have Civitai model ID but missing metadata
+            if lora_data.get('civitai'):
+                # Try to get model ID directly from the correct location
+                model_id = lora_data['civitai'].get('modelId')
+                
+                if model_id:
+                    model_id = str(model_id)
+                    # Check if tags are missing or empty
+                    tags_missing = not lora_data.get('tags') or len(lora_data.get('tags', [])) == 0
+                    
+                    # Check if description is missing or empty
+                    desc_missing = not lora_data.get('modelDescription') or lora_data.get('modelDescription') in (None, "")
+                    
+                    needs_metadata_update = tags_missing or desc_missing
+            
+            # Fetch missing metadata if needed
+            if needs_metadata_update and model_id:
+                logger.debug(f"Fetching missing metadata for {file_path} with model ID {model_id}")
+                from ..services.civitai_client import CivitaiClient
+                client = CivitaiClient()
+                
+                # Get metadata and status code
+                model_metadata, status_code = await client.get_model_metadata(model_id)
+                await client.close()
+                
+                # Handle 404 status (model deleted from Civitai)
+                if status_code == 404:
+                    logger.warning(f"Model {model_id} appears to be deleted from Civitai (404 response)")
+                    # Mark as deleted to avoid future API calls
+                    lora_data['civitai_deleted'] = True
+                    
+                    # Save the updated metadata back to file
+                    metadata_path = os.path.splitext(file_path)[0] + '.metadata.json'
+                    with open(metadata_path, 'w', encoding='utf-8') as f:
+                        json.dump(lora_data, f, indent=2, ensure_ascii=False)
+                
+                # Process valid metadata if available
+                elif model_metadata:
+                    logger.debug(f"Updating metadata for {file_path} with model ID {model_id}")
+                    
+                    # Update tags if they were missing
+                    if model_metadata.get('tags') and (not lora_data.get('tags') or len(lora_data.get('tags', [])) == 0):
+                        lora_data['tags'] = model_metadata['tags']
+                    
+                    # Update description if it was missing
+                    if model_metadata.get('description') and (not lora_data.get('modelDescription') or lora_data.get('modelDescription') in (None, "")):
+                        lora_data['modelDescription'] = model_metadata['description']
+                    
+                    # Save the updated metadata back to file
+                    metadata_path = os.path.splitext(file_path)[0] + '.metadata.json'
+                    with open(metadata_path, 'w', encoding='utf-8') as f:
+                        json.dump(lora_data, f, indent=2, ensure_ascii=False)
+        except Exception as e:
+            logger.error(f"Failed to update metadata from Civitai for {file_path}: {e}")
+
     async def update_preview_in_cache(self, file_path: str, preview_url: str) -> bool:
         """Update preview URL in cache for a specific lora
         
@@ -428,6 +568,15 @@ class LoraScanner:
     async def update_single_lora_cache(self, original_path: str, new_path: str, metadata: Dict) -> bool:
         cache = await self.get_cached_data()
         
+        # Find the existing item to remove its tags from count
+        existing_item = next((item for item in cache.raw_data if item['file_path'] == original_path), None)
+        if existing_item and 'tags' in existing_item:
+            for tag in existing_item.get('tags', []):
+                if tag in self._tags_count:
+                    self._tags_count[tag] = max(0, self._tags_count[tag] - 1)
+                    if self._tags_count[tag] == 0:
+                        del self._tags_count[tag]
+        
         # Remove old path from hash index if exists
         self._hash_index.remove_by_path(original_path)
         
@@ -461,6 +610,11 @@ class LoraScanner:
             # Update folders list
             all_folders = set(item['folder'] for item in cache.raw_data)
             cache.folders = sorted(list(all_folders), key=lambda x: x.lower())
+            
+            # Update tags count with the new/updated tags
+            if 'tags' in metadata:
+                for tag in metadata.get('tags', []):
+                    self._tags_count[tag] = self._tags_count.get(tag, 0) + 1
         
         # Resort cache
         await cache.resort()
@@ -506,6 +660,29 @@ class LoraScanner:
         """Get hash for a LoRA by its file path"""
         return self._hash_index.get_hash(file_path)
 
+    # Add new method to get top tags
+    async def get_top_tags(self, limit: int = 20) -> List[Dict[str, any]]:
+        """Get top tags sorted by count
+        
+        Args:
+            limit: Maximum number of tags to return
+            
+        Returns:
+            List of dictionaries with tag name and count, sorted by count
+        """
+        # Make sure cache is initialized
+        await self.get_cached_data()
+        
+        # Sort tags by count in descending order
+        sorted_tags = sorted(
+            [{"tag": tag, "count": count} for tag, count in self._tags_count.items()],
+            key=lambda x: x['count'],
+            reverse=True
+        )
+        
+        # Return limited number
+        return sorted_tags[:limit]
+
     async def diagnose_hash_index(self):
         """Diagnostic method to verify hash index functionality"""
         print("\n\n*** DIAGNOSING LORA HASH INDEX ***\n\n", file=sys.stderr)

py/services/settings_manager.py

@@ -37,7 +37,8 @@ class SettingsManager:
     def _get_default_settings(self) -> Dict[str, Any]:
         """Return default settings"""
         return {
-            "civitai_api_key": ""
+            "civitai_api_key": "",
+            "show_only_sfw": False
         }
 
     def get(self, key: str, default: Any = None) -> Any:

py/utils/constants.py

@@ -0,0 +1,8 @@
+NSFW_LEVELS = {
+    "PG": 1,
+    "PG13": 2,
+    "R": 4,
+    "X": 8,
+    "XXX": 16,
+    "Blocked": 32, # Probably not actually visible through the API without being logged in on model owner account?
+}

py/utils/file_utils.py

@@ -4,6 +4,8 @@ import hashlib
 import json
 from typing import Dict, Optional
 
+from .model_utils import determine_base_model
+
 from .lora_metadata import extract_lora_metadata
 from .models import LoraMetadata
 
@@ -69,6 +71,8 @@ async def get_file_info(file_path: str) -> Optional[LoraMetadata]:
             notes="",
             from_civitai=True,
             preview_url=normalize_path(preview_url),
+            tags=[],
+            modelDescription=""
         )
 
         # create metadata file
@@ -103,9 +107,18 @@ async def load_metadata(file_path: str) -> Optional[LoraMetadata]:
                 data = json.load(f)
                 
                 needs_update = False
+
+                # Check and normalize base model name
+                normalized_base_model = determine_base_model(data['base_model'])
+                if data['base_model'] != normalized_base_model:
+                    data['base_model'] = normalized_base_model
+                    needs_update = True
                 
-                if data['file_path'] != normalize_path(data['file_path']):
-                    data['file_path'] = normalize_path(data['file_path'])
+                # Compare paths without extensions
+                stored_path_base = os.path.splitext(data['file_path'])[0]
+                current_path_base = os.path.splitext(normalize_path(file_path))[0]
+                if stored_path_base != current_path_base:
+                    data['file_path'] = normalize_path(file_path)
                     needs_update = True
                 
                 preview_url = data.get('preview_url', '')
@@ -116,8 +129,21 @@ async def load_metadata(file_path: str) -> Optional[LoraMetadata]:
                     if new_preview_url != preview_url:
                         data['preview_url'] = new_preview_url
                         needs_update = True
-                elif preview_url != normalize_path(preview_url):
-                    data['preview_url'] = normalize_path(preview_url)
+                else:
+                    # Compare preview paths without extensions
+                    stored_preview_base = os.path.splitext(preview_url)[0]
+                    current_preview_base = os.path.splitext(normalize_path(preview_url))[0]
+                    if stored_preview_base != current_preview_base:
+                        data['preview_url'] = normalize_path(preview_url)
+                        needs_update = True
+
+                # Ensure all fields are present
+                if 'tags' not in data:
+                    data['tags'] = []
+                    needs_update = True
+                    
+                if 'modelDescription' not in data:
+                    data['modelDescription'] = ""
                     needs_update = True
                 
                 if needs_update:

py/utils/model_utils.py

@@ -8,7 +8,8 @@ BASE_MODEL_MAPPING = {
     "sd-v2": "SD 2.0",
     "flux1": "Flux.1 D",
     "flux.1 d": "Flux.1 D",
-    "illustrious": "IL",
+    "illustrious": "Illustrious",
+    "il": "Illustrious",
     "pony": "Pony",
     "Hunyuan Video": "Hunyuan Video"
 }

py/utils/models.py

@@ -1,5 +1,5 @@
 from dataclasses import dataclass, asdict
-from typing import Dict, Optional
+from typing import Dict, Optional, List
 from datetime import datetime
 import os
 from .model_utils import determine_base_model
@@ -15,10 +15,18 @@ class LoraMetadata:
     sha256: str                 # SHA256 hash of the file
     base_model: str             # Base model (SD1.5/SD2.1/SDXL/etc.)
     preview_url: str            # Preview image URL
+    preview_nsfw_level: int = 0 # NSFW level of the preview image
     usage_tips: str = "{}"      # Usage tips for the model, json string
     notes: str = ""             # Additional notes
-    from_civitai: bool = True  # Whether the lora is from Civitai
+    from_civitai: bool = True   # Whether the lora is from Civitai
     civitai: Optional[Dict] = None  # Civitai API data if available
+    tags: List[str] = None      # Model tags
+    modelDescription: str = ""  # Full model description
+
+    def __post_init__(self):
+        # Initialize empty lists to avoid mutable default parameter issue
+        if self.tags is None:
+            self.tags = []
 
     @classmethod
     def from_dict(cls, data: Dict) -> 'LoraMetadata':
@@ -42,6 +50,7 @@ class LoraMetadata:
             sha256=file_info['hashes'].get('SHA256', ''),
             base_model=base_model,
             preview_url=None,  # Will be updated after preview download
+            preview_nsfw_level=0, # Will be updated after preview download, it is decided by the nsfw level of the preview image
             from_civitai=True,
             civitai=version_info
         )

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-lora-manager"
 description = "LoRA Manager for ComfyUI - Access it at http://localhost:8188/loras for managing LoRA models with previews and metadata integration."
-version = "0.7.35-beta"
+version = "0.7.37-bugfix"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",

static/css/components/bulk.css

@@ -262,6 +262,83 @@
     background: var(--lora-accent);
 }
 
+/* NSFW Level Selector */
+.nsfw-level-selector {
+    position: fixed;
+    top: 50%;
+    left: 50%;
+    transform: translate(-50%, -50%);
+    background: var(--card-bg);
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-base);
+    padding: 16px;
+    box-shadow: 0 4px 20px rgba(0, 0, 0, 0.2);
+    z-index: var(--z-modal);
+    width: 300px;
+    display: none;
+}
+
+.nsfw-level-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 16px;
+}
+
+.nsfw-level-header h3 {
+    margin: 0;
+    font-size: 16px;
+    font-weight: 500;
+}
+
+.close-nsfw-selector {
+    background: transparent;
+    border: none;
+    color: var(--text-color);
+    cursor: pointer;
+    padding: 4px;
+    border-radius: var(--border-radius-xs);
+}
+
+.close-nsfw-selector:hover {
+    background: var(--border-color);
+}
+
+.current-level {
+    margin-bottom: 12px;
+    padding: 8px;
+    background: var(--bg-color);
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+}
+
+.nsfw-level-options {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 8px;
+}
+
+.nsfw-level-btn {
+    flex: 1 0 calc(33% - 8px);
+    padding: 8px;
+    border-radius: var(--border-radius-xs);
+    background: var(--bg-color);
+    border: 1px solid var(--border-color);
+    color: var(--text-color);
+    cursor: pointer;
+    transition: all 0.2s ease;
+}
+
+.nsfw-level-btn:hover {
+    background: var(--lora-border);
+}
+
+.nsfw-level-btn.active {
+    background: var(--lora-accent);
+    color: white;
+    border-color: var(--lora-accent);
+}
+
 /* Mobile optimizations */
 @media (max-width: 768px) {
     .selected-thumbnails-strip {

static/css/components/card.css

@@ -60,6 +60,96 @@
     object-position: center top; /* Align the top of the image with the top of the container */
 }
 
+/* NSFW Content Blur */
+.card-preview.blurred img,
+.card-preview.blurred video {
+    filter: blur(25px);
+}
+
+.nsfw-overlay {
+    position: absolute;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    z-index: 2;
+    pointer-events: none;
+}
+
+.nsfw-warning {
+    text-align: center;
+    color: white;
+    background: rgba(0, 0, 0, 0.6);
+    padding: var(--space-2);
+    border-radius: var(--border-radius-base);
+    backdrop-filter: blur(4px);
+    max-width: 80%;
+    pointer-events: auto;
+}
+
+.nsfw-warning p {
+    margin: 0 0 var(--space-1);
+    font-weight: bold;
+    font-size: 1.1em;
+    text-shadow: 1px 1px 1px rgba(0, 0, 0, 0.5);
+}
+
+.toggle-blur-btn {
+    position: absolute;
+    left: var(--space-1);
+    top: var(--space-1);
+    background: rgba(0, 0, 0, 0.5);
+    border: none;
+    border-radius: 50%;
+    width: 24px;
+    height: 24px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    color: white;
+    cursor: pointer;
+    z-index: 3;
+    transition: background-color 0.2s, transform 0.2s;
+}
+
+.toggle-blur-btn:hover {
+    background: rgba(0, 0, 0, 0.7);
+    transform: scale(1.1);
+}
+
+.toggle-blur-btn i {
+    font-size: 0.9em;
+}
+
+.show-content-btn {
+    background: var(--lora-accent);
+    color: white;
+    border: none;
+    border-radius: var(--border-radius-xs);
+    padding: 4px var(--space-1);
+    cursor: pointer;
+    font-size: 0.9em;
+    transition: background-color 0.2s, transform 0.2s;
+}
+
+.show-content-btn:hover {
+    background: oklch(58% 0.28 256);
+    transform: scale(1.05);
+}
+
+/* Adjust base model label positioning when toggle button is present */
+.base-model-label.with-toggle {
+    margin-left: 28px; /* Make room for the toggle button */
+}
+
+/* Ensure card actions remain clickable */
+.card-header .card-actions {
+    z-index: 3;
+}
+
 .card-footer {
     position: absolute;
     bottom: 0;

static/css/components/lora-modal.css

@@ -1,8 +1,9 @@
 /* Lora Modal Header */
 .modal-header {
     display: flex;
-    justify-content: space-between;
-    align-items: center;
+    flex-direction: column;
+    justify-content: flex-start;
+    align-items: flex-start;
     margin-bottom: var(--space-3);
     padding-bottom: var(--space-2);
     border-bottom: 1px solid var(--lora-border);
@@ -162,12 +163,57 @@
     border: 1px solid var(--lora-border);
 }
 
+/* New header style for trigger words */
+.trigger-words-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 6px;
+}
+
+.edit-trigger-words-btn {
+    background: transparent;
+    border: none;
+    color: var(--text-color);
+    opacity: 0.5;
+    cursor: pointer;
+    padding: 2px 5px;
+    border-radius: var(--border-radius-xs);
+    transition: all 0.2s ease;
+}
+
+.edit-trigger-words-btn:hover {
+    opacity: 0.8;
+    background: rgba(0, 0, 0, 0.05);
+}
+
+[data-theme="dark"] .edit-trigger-words-btn:hover {
+    background: rgba(255, 255, 255, 0.05);
+}
+
+/* Edit mode active state */
+.trigger-words.edit-mode .edit-trigger-words-btn {
+    opacity: 0.8;
+    color: var(--lora-accent);
+}
+
+.trigger-words-content {
+    margin-bottom: var(--space-1);
+}
+
 .trigger-words-tags {
     display: flex;
     flex-wrap: wrap;
     gap: 8px;
     align-items: flex-start;
-    margin-top: var(--space-1);
+}
+
+/* No trigger words message */
+.no-trigger-words {
+    color: var(--text-color);
+    opacity: 0.7;
+    font-style: italic;
+    font-size: 0.9em;
 }
 
 /* Update Trigger Words styles */
@@ -181,6 +227,7 @@
     cursor: pointer;
     transition: all 0.2s ease;
     gap: 6px;
+    position: relative;
 }
 
 /* Update trigger word content color to use theme accent */
@@ -206,6 +253,123 @@
     transition: opacity 0.2s;
 }
 
+/* Delete button for trigger word */
+.delete-trigger-word-btn {
+    position: absolute;
+    top: -5px;
+    right: -5px;
+    width: 16px;
+    height: 16px;
+    background: var(--lora-error);
+    color: white;
+    border: none;
+    border-radius: 50%;
+    cursor: pointer;
+    padding: 0;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    font-size: 9px;
+    transition: transform 0.2s ease;
+}
+
+.delete-trigger-word-btn:hover {
+    transform: scale(1.1);
+}
+
+/* Edit controls */
+.trigger-words-edit-controls {
+    display: flex;
+    justify-content: flex-end;
+    gap: var(--space-2);
+    margin-top: var(--space-2);
+}
+
+.trigger-words-edit-controls button {
+    padding: 3px 8px;
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+    background: var(--bg-color);
+    color: var(--text-color);
+    font-size: 0.85em;
+    cursor: pointer;
+    display: flex;
+    align-items: center;
+    gap: 4px;
+    transition: all 0.2s ease;
+}
+
+.trigger-words-edit-controls button:hover {
+    background: oklch(var(--lora-accent) / 0.1);
+    border-color: var(--lora-accent);
+}
+
+.trigger-words-edit-controls button i {
+    font-size: 0.8em;
+}
+
+.save-trigger-words-btn {
+    background: var(--lora-accent) !important;
+    color: white !important;
+    border-color: var(--lora-accent) !important;
+}
+
+.save-trigger-words-btn:hover {
+    opacity: 0.9;
+}
+
+/* Add trigger word form */
+.add-trigger-word-form {
+    margin-top: var(--space-2);
+    display: flex;
+    gap: var(--space-1);
+}
+
+.new-trigger-word-input {
+    flex: 1;
+    padding: 4px 8px;
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+    background: var(--bg-color);
+    color: var(--text-color);
+    font-size: 0.9em;
+}
+
+.new-trigger-word-input:focus {
+    border-color: var(--lora-accent);
+    outline: none;
+}
+
+.confirm-add-trigger-word-btn,
+.cancel-add-trigger-word-btn {
+    padding: 4px 8px;
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+    background: var(--bg-color);
+    color: var(--text-color);
+    font-size: 0.85em;
+    cursor: pointer;
+    transition: all 0.2s ease;
+}
+
+.confirm-add-trigger-word-btn {
+    background: var(--lora-accent);
+    color: white;
+    border-color: var(--lora-accent);
+}
+
+.confirm-add-trigger-word-btn:hover {
+    opacity: 0.9;
+}
+
+.cancel-add-trigger-word-btn:hover {
+    background: rgba(0, 0, 0, 0.05);
+}
+
+[data-theme="dark"] .cancel-add-trigger-word-btn:hover {
+    background: rgba(255, 255, 255, 0.05);
+}
+
 /* Editable Fields */
 .editable-field {
     position: relative;
@@ -479,4 +643,395 @@
 /* Ensure close button is accessible */
 .modal-content .close {
     z-index: 10; /* Ensure close button is above other elements */
+}
+
+/* Tab System Styling */
+.showcase-tabs {
+    display: flex;
+    border-bottom: 1px solid var(--lora-border);
+    margin-bottom: var(--space-2);
+    position: relative;
+    z-index: 2;
+}
+
+.tab-btn {
+    padding: var(--space-1) var(--space-2);
+    background: transparent;
+    border: none;
+    border-bottom: 2px solid transparent;
+    color: var(--text-color);
+    cursor: pointer;
+    font-size: 0.95em;
+    transition: all 0.2s;
+    opacity: 0.7;
+    position: relative;
+}
+
+.tab-btn:hover {
+    opacity: 1;
+    background: oklch(var(--lora-accent) / 0.05);
+}
+
+.tab-btn.active {
+    border-bottom: 2px solid var(--lora-accent);
+    opacity: 1;
+    font-weight: 600;
+}
+
+.tab-content {
+    position: relative;
+    min-height: 100px;
+}
+
+.tab-pane {
+    display: none;
+}
+
+.tab-pane.active {
+    display: block;
+}
+
+/* Model Description Styling */
+.model-description-container {
+    background: var(--lora-surface);
+    border-radius: var(--border-radius-sm);
+    overflow: hidden;
+    min-height: 200px;
+    position: relative;
+    /* Remove the max-height and overflow-y to allow content to expand naturally */
+}
+
+.model-description-loading {
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    padding: var(--space-3);
+    color: var(--text-color);
+    opacity: 0.7;
+    font-size: 0.9em;
+}
+
+.model-description-loading .fa-spinner {
+    margin-right: var(--space-1);
+}
+
+.model-description-content {
+    padding: var(--space-2);
+    line-height: 1.5;
+    overflow-wrap: break-word;
+    font-size: 0.95em;
+}
+
+.model-description-content h1,
+.model-description-content h2,
+.model-description-content h3,
+.model-description-content h4,
+.model-description-content h5,
+.model-description-content h6 {
+    margin-top: 1em;
+    margin-bottom: 0.5em;
+    font-weight: 600;
+}
+
+.model-description-content p {
+    margin-bottom: 1em;
+}
+
+.model-description-content img {
+    max-width: 100%;
+    height: auto;
+    border-radius: var(--border-radius-xs);
+    display: block;
+    margin: 1em 0;
+}
+
+.model-description-content pre {
+    background: rgba(0, 0, 0, 0.05);
+    border-radius: var(--border-radius-xs);
+    padding: var(--space-1);
+    white-space: pre-wrap;
+    margin: 1em 0;
+    overflow-x: auto;
+}
+
+.model-description-content code {
+    font-family: monospace;
+    font-size: 0.9em;
+    background: rgba(0, 0, 0, 0.05);
+    padding: 0.1em 0.3em;
+    border-radius: 3px;
+}
+
+.model-description-content pre code {
+    background: transparent;
+    padding: 0;
+}
+
+.model-description-content ul,
+.model-description-content ol {
+    margin-left: 1.5em;
+    margin-bottom: 1em;
+}
+
+.model-description-content li {
+    margin-bottom: 0.5em;
+}
+
+.model-description-content blockquote {
+    border-left: 3px solid var(--lora-accent);
+    padding-left: 1em;
+    margin-left: 0;
+    margin-right: 0;
+    font-style: italic;
+    opacity: 0.8;
+}
+
+/* Adjust dark mode for model description */
+[data-theme="dark"] .model-description-content pre,
+[data-theme="dark"] .model-description-content code {
+    background: rgba(255, 255, 255, 0.05);
+}
+
+.hidden {
+    display: none !important;
+}
+
+.error-message {
+    color: var(--lora-error);
+    text-align: center;
+    padding: var(--space-2);
+}
+
+.no-examples {
+    text-align: center;
+    padding: var(--space-3);
+    color: var(--text-color);
+    opacity: 0.7;
+}
+
+/* Adjust the media wrapper for tab system */
+#showcase-tab .carousel-container {
+    margin-top: var(--space-2);
+}
+
+/* Enhanced Model Description Styling */
+.model-description-container {
+    background: var(--lora-surface);
+    border-radius: var(--border-radius-sm);
+    overflow: hidden;
+    min-height: 200px;
+    position: relative;
+    /* Remove the max-height and overflow-y to allow content to expand naturally */
+}
+
+.model-description-content {
+    padding: var(--space-2);
+    line-height: 1.5;
+    overflow-wrap: break-word;
+    font-size: 0.95em;
+}
+
+.model-description-content h1,
+.model-description-content h2,
+.model-description-content h3,
+.model-description-content h4,
+.model-description-content h5,
+.model-description-content h6 {
+    margin-top: 1em;
+    margin-bottom: 0.5em;
+    font-weight: 600;
+}
+
+.model-description-content p {
+    margin-bottom: 1em;
+}
+
+.model-description-content img {
+    max-width: 100%;
+    height: auto;
+    border-radius: var(--border-radius-xs);
+    display: block;
+    margin: 1em 0;
+}
+
+.model-description-content pre {
+    background: rgba(0, 0, 0, 0.05);
+    border-radius: var(--border-radius-xs);
+    padding: var(--space-1);
+    white-space: pre-wrap;
+    margin: 1em 0;
+    overflow-x: auto;
+}
+
+.model-description-content code {
+    font-family: monospace;
+    font-size: 0.9em;
+    background: rgba(0, 0, 0, 0.05);
+    padding: 0.1em 0.3em;
+    border-radius: 3px;
+}
+
+.model-description-content pre code {
+    background: transparent;
+    padding: 0;
+}
+
+.model-description-content ul,
+.model-description-content ol {
+    margin-left: 1.5em;
+    margin-bottom: 1em;
+}
+
+.model-description-content li {
+    margin-bottom: 0.5em;
+}
+
+.model-description-content blockquote {
+    border-left: 3px solid var (--lora-accent);
+    padding-left: 1em;
+    margin-left: 0;
+    margin-right: 0;
+    font-style: italic;
+    opacity: 0.8;
+}
+
+/* Adjust dark mode for model description */
+[data-theme="dark"] .model-description-content pre,
+[data-theme="dark"] .model-description-content code {
+    background: rgba(255, 255, 255, 0.05);
+}
+
+/* Model Tags styles */
+.model-tags {
+    display: none;
+}
+
+.model-tag {
+    display: none;
+}
+
+/* Updated Model Tags styles - improved visibility in light theme */
+.model-tags-container {
+    position: relative;
+    margin-top: 4px;
+}
+
+.model-tags-compact {
+    display: flex;
+    flex-wrap: nowrap;
+    gap: 6px;
+    align-items: center;
+}
+
+.model-tag-compact {
+    /* Updated styles to match info-item appearance */
+    background: rgba(0, 0, 0, 0.03);
+    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;
+}
+
+/* Adjust dark theme tag styles */
+[data-theme="dark"] .model-tag-compact {
+    background: rgba(255, 255, 255, 0.03);
+    border: 1px solid var(--lora-border);
+}
+
+.model-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;
+}
+
+.model-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: 0 3px 8px rgba(0, 0, 0, 0.15); /* Enhanced shadow for better visibility */
+    padding: 10px 14px;
+    max-width: 400px;
+    z-index: 10;
+    opacity: 0;
+    visibility: hidden;
+    transform: translateY(-4px);
+    transition: all 0.2s ease;
+    pointer-events: none;
+}
+
+.model-tags-tooltip.visible {
+    opacity: 1;
+    visibility: visible;
+    transform: translateY(0);
+    pointer-events: auto; /* Enable interactions when visible */
+}
+
+.tooltip-content {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 6px;
+    max-height: 200px;
+    overflow-y: auto;
+}
+
+.tooltip-tag {
+    /* Updated styles to match info-item appearance */
+    background: rgba(0, 0, 0, 0.03);
+    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);
+}
+
+/* Adjust dark theme tooltip tag styles */
+[data-theme="dark"] .tooltip-tag {
+    background: rgba(255, 255, 255, 0.03);
+    border: 1px solid var(--lora-border);
+}
+
+/* Add styles for blurred showcase content */
+.nsfw-media-wrapper {
+    position: relative;
+}
+
+.media-wrapper img.blurred,
+.media-wrapper video.blurred {
+    filter: blur(25px);
+}
+
+.media-wrapper .nsfw-overlay {
+    position: absolute;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    z-index: 2;
+    pointer-events: none;
+}
+
+/* Position the toggle button at the top left of showcase media */
+.showcase-toggle-btn {
+    position: absolute;
+    left: var(--space-1);
+    top: var(--space-1);
+    z-index: 3;
+}
+
+/* Make sure media wrapper maintains position: relative for absolute positioning of children */
+.carousel .media-wrapper {
+    position: relative;
 }

static/css/components/modal.css

@@ -323,4 +323,124 @@ body.modal-open {
 [data-theme="dark"] .path-preview {
     background: rgba(255, 255, 255, 0.03);
     border: 1px solid var(--lora-border);
+}
+
+/* Settings Styles */
+.settings-section {
+    margin-top: var(--space-3);
+    border-top: 1px solid var(--lora-border);
+    padding-top: var(--space-2);
+}
+
+.settings-section h3 {
+    font-size: 1.1em;
+    margin-bottom: var(--space-2);
+    color: var(--text-color);
+    opacity: 0.9;
+}
+
+.setting-item {
+    display: flex;
+    justify-content: space-between;
+    align-items: flex-start;
+    margin-bottom: var(--space-2);
+    padding: var(--space-1);
+    border-radius: var(--border-radius-xs);
+}
+
+.setting-item:hover {
+    background: rgba(0, 0, 0, 0.02);
+}
+
+[data-theme="dark"] .setting-item:hover {
+    background: rgba(255, 255, 255, 0.05);
+}
+
+.setting-info {
+    flex: 1;
+}
+
+.setting-info label {
+    display: block;
+    margin-bottom: 4px;
+    font-weight: 500;
+}
+
+.setting-control {
+    padding-left: var(--space-2);
+}
+
+/* Toggle Switch */
+.toggle-switch {
+    position: relative;
+    display: inline-block;
+    width: 50px;
+    height: 24px;
+    cursor: pointer;
+}
+
+.toggle-switch input {
+    opacity: 0;
+    width: 0;
+    height: 0;
+}
+
+.toggle-slider {
+    position: absolute;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background-color: var(--border-color);
+    transition: .3s;
+    border-radius: 24px;
+}
+
+.toggle-slider:before {
+    position: absolute;
+    content: "";
+    height: 18px;
+    width: 18px;
+    left: 3px;
+    bottom: 3px;
+    background-color: white;
+    transition: .3s;
+    border-radius: 50%;
+}
+
+input:checked + .toggle-slider {
+    background-color: var(--lora-accent);
+}
+
+input:checked + .toggle-slider:before {
+    transform: translateX(26px);
+}
+
+.toggle-label {
+    margin-left: 60px;
+    line-height: 24px;
+}
+
+/* Add small animation for the toggle */
+.toggle-slider:active:before {
+    width: 22px;
+}
+
+/* Update input help styles */
+.input-help {
+    font-size: 0.85em;
+    color: var(--text-color);
+    opacity: 0.7;
+    margin-top: 4px;
+    line-height: 1.4;
+}
+
+/* Blur effect for NSFW content */
+.nsfw-blur {
+    filter: blur(12px);
+    transition: filter 0.3s ease;
+}
+
+.nsfw-blur:hover {
+    filter: blur(8px);
 }

static/css/components/search-filter.css

@@ -237,6 +237,44 @@
     border-color: var(--lora-accent);
 }
 
+/* Tag filter styles */
+.tag-filter {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    min-width: 60px;
+}
+
+.tag-count {
+    background: rgba(0, 0, 0, 0.1);
+    padding: 1px 6px;
+    border-radius: 10px;
+    font-size: 0.8em;
+    margin-left: 4px;
+}
+
+[data-theme="dark"] .tag-count {
+    background: rgba(255, 255, 255, 0.1);
+}
+
+.tag-filter.active .tag-count {
+    background: rgba(255, 255, 255, 0.3);
+    color: white;
+}
+
+.tags-loading, .tags-error, .no-tags {
+    width: 100%;
+    padding: 8px;
+    text-align: center;
+    font-size: 0.9em;
+    color: var(--text-color);
+    opacity: 0.7;
+}
+
+.tags-error {
+    color: var(--lora-error);
+}
+
 /* Filter actions */
 .filter-actions {
     display: flex;
@@ -276,4 +314,197 @@
         right: 20px;
         top: 140px;
     }
-} 
+}
+
+/* Search Options Toggle */
+.search-options-toggle {
+    background: var(--lora-surface);
+    border: 1px solid oklch(65% 0.02 256);
+    border-radius: var(--border-radius-sm);
+    color: var(--text-color);
+    width: 32px;
+    height: 32px;
+    padding: 0;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    cursor: pointer;
+    transition: all 0.2s ease;
+    flex-shrink: 0;
+}
+
+.search-options-toggle:hover {
+    background-color: var(--lora-surface-hover, oklch(95% 0.02 256));
+    color: var(--lora-accent);
+    border-color: var(--lora-accent);
+}
+
+.search-options-toggle.active {
+    background-color: oklch(95% 0.05 256);
+    color: var(--lora-accent);
+    border-color: var(--lora-accent);
+}
+
+.search-options-toggle i {
+    font-size: 0.9em;
+}
+
+/* Search Options Panel */
+.search-options-panel {
+    position: absolute;
+    top: 140px;
+    right: 65px; /* Position it closer to the search options button */
+    width: 280px; /* Slightly wider to accommodate tags better */
+    background-color: var(--card-bg);
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-base);
+    box-shadow: 0 4px 10px rgba(0, 0, 0, 0.1);
+    z-index: var(--z-overlay);
+    padding: 16px;
+    transition: transform 0.3s ease, opacity 0.3s ease;
+    transform-origin: top right;
+}
+
+.search-options-panel.hidden {
+    opacity: 0;
+    transform: scale(0.95);
+    pointer-events: none;
+}
+
+.options-header {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-bottom: 16px;
+}
+
+.options-header h3 {
+    margin: 0;
+    font-size: 16px;
+    color: var(--text-color);
+}
+
+.close-options-btn {
+    background: none;
+    border: none;
+    color: var(--text-color);
+    cursor: pointer;
+    font-size: 16px;
+    padding: 4px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+}
+
+.close-options-btn:hover {
+    color: var(--lora-accent);
+}
+
+.options-section {
+    margin-bottom: 16px;
+}
+
+.options-section h4 {
+    margin: 0 0 8px 0;
+    font-size: 14px;
+    color: var(--text-color);
+    opacity: 0.8;
+}
+
+.search-option-tags {
+    display: flex;
+    flex-wrap: wrap;
+    gap: 8px; /* Increased gap for better spacing */
+}
+
+.search-option-tag {
+    padding: 6px 8px; /* Adjusted padding for better text display */
+    border-radius: var(--border-radius-sm);
+    background-color: var(--lora-surface);
+    border: 1px solid var(--border-color);
+    color: var(--text-color);
+    font-size: 13px; /* Slightly smaller font size */
+    cursor: pointer;
+    transition: all 0.2s ease;
+    user-select: none;
+    flex: 1;
+    text-align: center;
+    white-space: nowrap; /* Prevent text wrapping */
+    min-width: 80px; /* Ensure minimum width for each tag */
+    display: inline-flex; /* Better control over layout */
+    justify-content: center;
+    align-items: center;
+}
+
+.search-option-tag:hover {
+    background-color: var(--lora-surface-hover);
+}
+
+.search-option-tag.active {
+    background-color: var(--lora-accent);
+    color: white;
+    border-color: var(--lora-accent);
+}
+
+/* Switch styles */
+.search-option-switch {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    padding: 4px 0;
+}
+
+.switch {
+    position: relative;
+    display: inline-block;
+    width: 46px;
+    height: 24px;
+}
+
+.switch input {
+    opacity: 0;
+    width: 0;
+    height: 0;
+}
+
+.slider {
+    position: absolute;
+    cursor: pointer;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background-color: #ccc;
+    transition: .4s;
+}
+
+.slider:before {
+    position: absolute;
+    content: "";
+    height: 18px;
+    width: 18px;
+    left: 3px;
+    bottom: 3px;
+    background-color: white;
+    transition: .4s;
+}
+
+input:checked + .slider {
+    background-color: var(--lora-accent);
+}
+
+input:focus + .slider {
+    box-shadow: 0 0 1px var(--lora-accent);
+}
+
+input:checked + .slider:before {
+    transform: translateX(22px);
+}
+
+.slider.round {
+    border-radius: 34px;
+}
+
+.slider.round:before {
+    border-radius: 50%;
+}

static/css/components/update-modal.css

@@ -153,56 +153,43 @@
     border-top: 1px solid var(--lora-border);
     margin-top: var(--space-2);
     padding-top: var(--space-2);
-}
-
-/* Toggle switch styles */
-.toggle-switch {
     display: flex;
     align-items: center;
-    gap: 12px;
+    justify-content: flex-start;
+}
+
+/* Override toggle switch styles for update preferences */
+.update-preferences .toggle-switch {
+    position: relative;
+    display: inline-flex;
+    align-items: center;
+    width: auto;
+    height: 24px;
     cursor: pointer;
-    user-select: none;
 }
 
-.toggle-switch input {
-    opacity: 0;
-    width: 0;
-    height: 0;
-    position: absolute;
-}
-
-.toggle-slider {
+.update-preferences .toggle-slider {
     position: relative;
     display: inline-block;
-    width: 40px;
-    height: 20px;
-    background-color: var(--border-color);
-    border-radius: 20px;
-    transition: .4s;
+    width: 50px;
+    height: 24px;
     flex-shrink: 0;
+    margin-right: 10px;
 }
 
-.toggle-slider:before {
-    position: absolute;
-    content: "";
-    height: 16px;
-    width: 16px;
-    left: 2px;
-    bottom: 2px;
-    background-color: white;
-    border-radius: 50%;
-    transition: .4s;
+.update-preferences .toggle-label {
+    margin-left: 0;
+    white-space: nowrap;
+    line-height: 24px;
 }
 
-input:checked + .toggle-slider {
-    background-color: var(--lora-accent);
-}
-
-input:checked + .toggle-slider:before {
-    transform: translateX(20px);
-}
-
-.toggle-label {
-    font-size: 0.9em;
-    color: var(--text-color);
+@media (max-width: 480px) {
+    .update-preferences {
+        flex-direction: row;
+        flex-wrap: wrap;
+    }
+    
+    .update-preferences .toggle-label {
+        margin-top: 5px;
+    }
 }

static/js/api/loraApi.js

@@ -32,9 +32,15 @@ export async function loadMoreLoras(boolUpdateFolders = false) {
         }
         
         // Add filter parameters if active
-        if (state.filters && state.filters.baseModel && state.filters.baseModel.length > 0) {
-            // Convert the array of base models to a comma-separated string
-            params.append('base_models', state.filters.baseModel.join(','));
+        if (state.filters) {
+            if (state.filters.tags && state.filters.tags.length > 0) {
+                // Convert the array of tags to a comma-separated string
+                params.append('tags', state.filters.tags.join(','));
+            }
+            if (state.filters.baseModel && state.filters.baseModel.length > 0) {
+                // Convert the array of base models to a comma-separated string
+                params.append('base_models', state.filters.baseModel.join(','));
+            }
         }
 
         console.log('Loading loras with params:', params.toString());
@@ -107,7 +113,8 @@ export async function fetchCivitai() {
     
     await state.loadingManager.showWithProgress(async (loading) => {
         try {
-            ws = new WebSocket(`ws://${window.location.host}/ws/fetch-progress`);
+            const wsProtocol = window.location.protocol === 'https:' ? 'wss://' : 'ws://';
+            const ws = new WebSocket(`${wsProtocol}${window.location.host}/ws/fetch-progress`);
             
             const operationComplete = new Promise((resolve, reject) => {
                 ws.onmessage = (event) => {
@@ -325,4 +332,19 @@ export async function refreshSingleLoraMetadata(filePath) {
         state.loadingManager.hide();
         state.loadingManager.restoreProgressBar();
     }
+}
+
+export async function fetchModelDescription(modelId, filePath) {
+    try {
+        const response = await fetch(`/api/lora-model-description?model_id=${modelId}&file_path=${encodeURIComponent(filePath)}`);
+        
+        if (!response.ok) {
+            throw new Error(`Failed to fetch model description: ${response.statusText}`);
+        }
+        
+        return await response.json();
+    } catch (error) {
+        console.error('Error fetching model description:', error);
+        throw error;
+    }
 }

static/js/components/ContextMenu.js

@@ -1,9 +1,12 @@
 import { refreshSingleLoraMetadata } from '../api/loraApi.js';
+import { showToast, getNSFWLevelName } from '../utils/uiHelpers.js';
+import { NSFW_LEVELS } from '../utils/constants.js';
 
 export class LoraContextMenu {
     constructor() {
         this.menu = document.getElementById('loraContextMenu');
         this.currentCard = null;
+        this.nsfwSelector = document.getElementById('nsfwLevelSelector');
         this.init();
     }
 
@@ -58,10 +61,274 @@ export class LoraContextMenu {
                 case 'refresh-metadata':
                     refreshSingleLoraMetadata(this.currentCard.dataset.filepath);
                     break;
+                case 'set-nsfw':
+                    this.showNSFWLevelSelector(null, null, this.currentCard);
+                    break;
             }
             
             this.hideMenu();
         });
+
+        // Initialize NSFW Level Selector events
+        this.initNSFWSelector();
+    }
+
+    initNSFWSelector() {
+        // Close button
+        const closeBtn = this.nsfwSelector.querySelector('.close-nsfw-selector');
+        closeBtn.addEventListener('click', () => {
+            this.nsfwSelector.style.display = 'none';
+        });
+
+        // Level buttons
+        const levelButtons = this.nsfwSelector.querySelectorAll('.nsfw-level-btn');
+        levelButtons.forEach(btn => {
+            btn.addEventListener('click', async () => {
+                const level = parseInt(btn.dataset.level);
+                const filePath = this.nsfwSelector.dataset.cardPath;
+                
+                if (!filePath) return;
+                
+                try {
+                    await this.saveModelMetadata(filePath, { preview_nsfw_level: level });
+                    
+                    // Update card data
+                    const card = document.querySelector(`.lora-card[data-filepath="${filePath}"]`);
+                    if (card) {
+                        let metaData = {};
+                        try {
+                            metaData = JSON.parse(card.dataset.meta || '{}');
+                        } catch (err) {
+                            console.error('Error parsing metadata:', err);
+                        }
+                        
+                        metaData.preview_nsfw_level = level;
+                        card.dataset.meta = JSON.stringify(metaData);
+                        card.dataset.nsfwLevel = level.toString();
+                        
+                        // Apply blur effect immediately
+                        this.updateCardBlurEffect(card, level);
+                    }
+                    
+                    showToast(`Content rating set to ${getNSFWLevelName(level)}`, 'success');
+                    this.nsfwSelector.style.display = 'none';
+                } catch (error) {
+                    showToast(`Failed to set content rating: ${error.message}`, 'error');
+                }
+            });
+        });
+        
+        // Close when clicking outside
+        document.addEventListener('click', (e) => {
+            if (this.nsfwSelector.style.display === 'block' && 
+                !this.nsfwSelector.contains(e.target) && 
+                !e.target.closest('.context-menu-item[data-action="set-nsfw"]')) {
+                this.nsfwSelector.style.display = 'none';
+            }
+        });
+    }
+
+    async saveModelMetadata(filePath, data) {
+        const response = await fetch('/loras/api/save-metadata', {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+            },
+            body: JSON.stringify({
+                file_path: filePath,
+                ...data
+            })
+        });
+    
+        if (!response.ok) {
+            throw new Error('Failed to save metadata');
+        }
+        
+        return await response.json();
+    }
+
+    updateCardBlurEffect(card, level) {
+        // Get user settings for blur threshold
+        const blurThreshold = parseInt(localStorage.getItem('nsfwBlurLevel') || '4');
+        
+        // Get card preview container
+        const previewContainer = card.querySelector('.card-preview');
+        if (!previewContainer) return;
+        
+        // Get preview media element
+        const previewMedia = previewContainer.querySelector('img') || previewContainer.querySelector('video');
+        if (!previewMedia) return;
+        
+        // Check if blur should be applied
+        if (level >= blurThreshold) {
+            // Add blur class to the preview container
+            previewContainer.classList.add('blurred');
+            
+            // Get or create the NSFW overlay
+            let nsfwOverlay = previewContainer.querySelector('.nsfw-overlay');
+            if (!nsfwOverlay) {
+                // Create new overlay
+                nsfwOverlay = document.createElement('div');
+                nsfwOverlay.className = 'nsfw-overlay';
+                
+                // Create and configure the warning content
+                const warningContent = document.createElement('div');
+                warningContent.className = 'nsfw-warning';
+                
+                // Determine NSFW warning text based on level
+                let nsfwText = "Mature Content";
+                if (level >= NSFW_LEVELS.XXX) {
+                    nsfwText = "XXX-rated Content";
+                } else if (level >= NSFW_LEVELS.X) {
+                    nsfwText = "X-rated Content";
+                } else if (level >= NSFW_LEVELS.R) {
+                    nsfwText = "R-rated Content";
+                }
+                
+                // Add warning text and show button
+                warningContent.innerHTML = `
+                    <p>${nsfwText}</p>
+                    <button class="show-content-btn">Show</button>
+                `;
+                
+                // Add click event to the show button
+                const showBtn = warningContent.querySelector('.show-content-btn');
+                showBtn.addEventListener('click', (e) => {
+                    e.stopPropagation();
+                    previewContainer.classList.remove('blurred');
+                    nsfwOverlay.style.display = 'none';
+                    
+                    // Update toggle button icon if it exists
+                    const toggleBtn = card.querySelector('.toggle-blur-btn');
+                    if (toggleBtn) {
+                        toggleBtn.querySelector('i').className = 'fas fa-eye-slash';
+                    }
+                });
+                
+                nsfwOverlay.appendChild(warningContent);
+                previewContainer.appendChild(nsfwOverlay);
+            } else {
+                // Update existing overlay
+                const warningText = nsfwOverlay.querySelector('p');
+                if (warningText) {
+                    let nsfwText = "Mature Content";
+                    if (level >= NSFW_LEVELS.XXX) {
+                        nsfwText = "XXX-rated Content";
+                    } else if (level >= NSFW_LEVELS.X) {
+                        nsfwText = "X-rated Content";
+                    } else if (level >= NSFW_LEVELS.R) {
+                        nsfwText = "R-rated Content";
+                    }
+                    warningText.textContent = nsfwText;
+                }
+                nsfwOverlay.style.display = 'flex';
+            }
+            
+            // Get or create the toggle button in the header
+            const cardHeader = previewContainer.querySelector('.card-header');
+            if (cardHeader) {
+                let toggleBtn = cardHeader.querySelector('.toggle-blur-btn');
+                
+                if (!toggleBtn) {
+                    toggleBtn = document.createElement('button');
+                    toggleBtn.className = 'toggle-blur-btn';
+                    toggleBtn.title = 'Toggle blur';
+                    toggleBtn.innerHTML = '<i class="fas fa-eye"></i>';
+                    
+                    // Add click event to toggle button
+                    toggleBtn.addEventListener('click', (e) => {
+                        e.stopPropagation();
+                        const isBlurred = previewContainer.classList.toggle('blurred');
+                        const icon = toggleBtn.querySelector('i');
+                        
+                        // Update icon and overlay visibility
+                        if (isBlurred) {
+                            icon.className = 'fas fa-eye';
+                            nsfwOverlay.style.display = 'flex';
+                        } else {
+                            icon.className = 'fas fa-eye-slash';
+                            nsfwOverlay.style.display = 'none';
+                        }
+                    });
+                    
+                    // Add to the beginning of header
+                    cardHeader.insertBefore(toggleBtn, cardHeader.firstChild);
+                    
+                    // Update base model label class
+                    const baseModelLabel = cardHeader.querySelector('.base-model-label');
+                    if (baseModelLabel && !baseModelLabel.classList.contains('with-toggle')) {
+                        baseModelLabel.classList.add('with-toggle');
+                    }
+                } else {
+                    // Update existing toggle button
+                    toggleBtn.querySelector('i').className = 'fas fa-eye';
+                }
+            }
+        } else {
+            // Remove blur
+            previewContainer.classList.remove('blurred');
+            
+            // Hide overlay if it exists
+            const overlay = previewContainer.querySelector('.nsfw-overlay');
+            if (overlay) overlay.style.display = 'none';
+            
+            // Update or remove toggle button
+            const toggleBtn = card.querySelector('.toggle-blur-btn');
+            if (toggleBtn) {
+                // We'll leave the button but update the icon
+                toggleBtn.querySelector('i').className = 'fas fa-eye-slash';
+            }
+        }
+    }
+
+    showNSFWLevelSelector(x, y, card) {
+        const selector = document.getElementById('nsfwLevelSelector');
+        const currentLevelEl = document.getElementById('currentNSFWLevel');
+        
+        // Get current NSFW level
+        let currentLevel = 0;
+        try {
+            const metaData = JSON.parse(card.dataset.meta || '{}');
+            currentLevel = metaData.preview_nsfw_level || 0;
+            
+            // Update if we have no recorded level but have a dataset attribute
+            if (!currentLevel && card.dataset.nsfwLevel) {
+                currentLevel = parseInt(card.dataset.nsfwLevel) || 0;
+            }
+        } catch (err) {
+            console.error('Error parsing metadata:', err);
+        }
+        
+        currentLevelEl.textContent = getNSFWLevelName(currentLevel);
+        
+        // Position the selector
+        if (x && y) {
+            const viewportWidth = document.documentElement.clientWidth;
+            const viewportHeight = document.documentElement.clientHeight;
+            const selectorRect = selector.getBoundingClientRect();
+            
+            // Center the selector if no coordinates provided
+            let finalX = (viewportWidth - selectorRect.width) / 2;
+            let finalY = (viewportHeight - selectorRect.height) / 2;
+            
+            selector.style.left = `${finalX}px`;
+            selector.style.top = `${finalY}px`;
+        }
+        
+        // Highlight current level button
+        document.querySelectorAll('.nsfw-level-btn').forEach(btn => {
+            if (parseInt(btn.dataset.level) === currentLevel) {
+                btn.classList.add('active');
+            } else {
+                btn.classList.remove('active');
+            }
+        });
+        
+        // Store reference to current card
+        selector.dataset.cardPath = card.dataset.filepath;
+        
+        // Show selector
+        selector.style.display = 'block';
     }
 
     showMenu(x, y, card) {

static/js/components/LoraCard.js

@@ -2,6 +2,7 @@ import { showToast } from '../utils/uiHelpers.js';
 import { state } from '../state/index.js';
 import { showLoraModal } from './LoraModal.js';
 import { bulkManager } from '../managers/BulkManager.js';
+import { NSFW_LEVELS } from '../utils/constants.js';
 
 export function createLoraCard(lora) {
     const card = document.createElement('div');
@@ -18,6 +19,24 @@ export function createLoraCard(lora) {
     card.dataset.usage_tips = lora.usage_tips;
     card.dataset.notes = lora.notes;
     card.dataset.meta = JSON.stringify(lora.civitai || {});
+    
+    // Store tags and model description
+    if (lora.tags && Array.isArray(lora.tags)) {
+        card.dataset.tags = JSON.stringify(lora.tags);
+    }
+    if (lora.modelDescription) {
+        card.dataset.modelDescription = lora.modelDescription;
+    }
+
+    // Store NSFW level if available
+    const nsfwLevel = lora.preview_nsfw_level !== undefined ? lora.preview_nsfw_level : 0;
+    card.dataset.nsfwLevel = nsfwLevel;
+    
+    // Determine if the preview should be blurred based on NSFW level and user settings
+    const shouldBlur = state.settings.blurMatureContent && nsfwLevel > NSFW_LEVELS.PG13;
+    if (shouldBlur) {
+        card.classList.add('nsfw-content');
+    }
 
     // Apply selection state if in bulk mode and this card is in the selected set
     if (state.bulkMode && state.selectedLoras.has(lora.file_path)) {
@@ -28,8 +47,18 @@ export function createLoraCard(lora) {
     const previewUrl = lora.preview_url || '/loras_static/images/no-preview.png';
     const versionedPreviewUrl = version ? `${previewUrl}?t=${version}` : previewUrl;
 
+    // Determine NSFW warning text based on level
+    let nsfwText = "Mature Content";
+    if (nsfwLevel >= NSFW_LEVELS.XXX) {
+        nsfwText = "XXX-rated Content";
+    } else if (nsfwLevel >= NSFW_LEVELS.X) {
+        nsfwText = "X-rated Content";
+    } else if (nsfwLevel >= NSFW_LEVELS.R) {
+        nsfwText = "R-rated Content";
+    }
+
     card.innerHTML = `
-        <div class="card-preview">
+        <div class="card-preview ${shouldBlur ? 'blurred' : ''}">
             ${previewUrl.endsWith('.mp4') ? 
                 `<video controls autoplay muted loop>
                     <source src="${versionedPreviewUrl}" type="video/mp4">
@@ -37,7 +66,11 @@ export function createLoraCard(lora) {
                 `<img src="${versionedPreviewUrl}" alt="${lora.model_name}">`
             }
             <div class="card-header">
-                <span class="base-model-label" title="${lora.base_model}">
+                ${shouldBlur ? 
+                  `<button class="toggle-blur-btn" title="Toggle blur">
+                      <i class="fas fa-eye"></i>
+                  </button>` : ''}
+                <span class="base-model-label ${shouldBlur ? 'with-toggle' : ''}" title="${lora.base_model}">
                     ${lora.base_model}
                 </span>
                 <div class="card-actions">
@@ -53,6 +86,14 @@ export function createLoraCard(lora) {
                     </i>
                 </div>
             </div>
+            ${shouldBlur ? `
+                <div class="nsfw-overlay">
+                    <div class="nsfw-warning">
+                        <p>${nsfwText}</p>
+                        <button class="show-content-btn">Show</button>
+                    </div>
+                </div>
+            ` : ''}
             <div class="card-footer">
                 <div class="model-info">
                     <span class="model-name">${lora.model_name}</span>
@@ -86,12 +127,69 @@ export function createLoraCard(lora) {
                 base_model: card.dataset.base_model,
                 usage_tips: card.dataset.usage_tips,
                 notes: card.dataset.notes,
-                civitai: JSON.parse(card.dataset.meta || '{}')
+                // Parse civitai metadata from the card's dataset
+                civitai: (() => {
+                    try {
+                        // Attempt to parse the JSON string
+                        return JSON.parse(card.dataset.meta || '{}');
+                    } catch (e) {
+                        console.error('Failed to parse civitai metadata:', e);
+                        return {}; // Return empty object on error
+                    }
+                })(),
+                tags: JSON.parse(card.dataset.tags || '[]'),
+                modelDescription: card.dataset.modelDescription || ''
             };
             showLoraModal(loraMeta);
         }
     });
 
+    // Toggle blur button functionality
+    const toggleBlurBtn = card.querySelector('.toggle-blur-btn');
+    if (toggleBlurBtn) {
+        toggleBlurBtn.addEventListener('click', (e) => {
+            e.stopPropagation();
+            const preview = card.querySelector('.card-preview');
+            const isBlurred = preview.classList.toggle('blurred');
+            const icon = toggleBlurBtn.querySelector('i');
+            
+            // Update the icon based on blur state
+            if (isBlurred) {
+                icon.className = 'fas fa-eye';
+            } else {
+                icon.className = 'fas fa-eye-slash';
+            }
+            
+            // Toggle the overlay visibility
+            const overlay = card.querySelector('.nsfw-overlay');
+            if (overlay) {
+                overlay.style.display = isBlurred ? 'flex' : 'none';
+            }
+        });
+    }
+
+    // Show content button functionality
+    const showContentBtn = card.querySelector('.show-content-btn');
+    if (showContentBtn) {
+        showContentBtn.addEventListener('click', (e) => {
+            e.stopPropagation();
+            const preview = card.querySelector('.card-preview');
+            preview.classList.remove('blurred');
+            
+            // Update the toggle button icon
+            const toggleBtn = card.querySelector('.toggle-blur-btn');
+            if (toggleBtn) {
+                toggleBtn.querySelector('i').className = 'fas fa-eye-slash';
+            }
+            
+            // Hide the overlay
+            const overlay = card.querySelector('.nsfw-overlay');
+            if (overlay) {
+                overlay.style.display = 'none';
+            }
+        });
+    }
+
     // Copy button click event
     card.querySelector('.fa-copy')?.addEventListener('click', async e => {
         e.stopPropagation();

static/js/components/LoraModal.js

@@ -1,5 +1,6 @@
 import { showToast } from '../utils/uiHelpers.js';
 import { state } from '../state/index.js';
+import { NSFW_LEVELS } from '../utils/constants.js';
 
 export function showLoraModal(lora) {
     const escapedWords = lora.civitai?.trainedWords?.length ? 
@@ -15,6 +16,7 @@ export function showLoraModal(lora) {
                         <i class="fas fa-save"></i>
                     </button>
                 </div>
+                ${renderCompactTags(lora.tags || [])}
             </header>
 
             <div class="modal-body">
@@ -66,7 +68,7 @@ export function showLoraModal(lora) {
                                 </div>
                             </div>
                         </div>
-                        ${renderTriggerWords(escapedWords)}
+                        ${renderTriggerWords(escapedWords, lora.file_path)}
                         <div class="info-item notes">
                             <label>Additional Notes</label>
                             <div class="editable-field">
@@ -81,10 +83,35 @@ export function showLoraModal(lora) {
                             <div class="description-text">${lora.description || 'N/A'}</div>
                         </div>
                     </div>
-
                 </div>
 
-                ${renderShowcaseImages(lora.civitai.images)}
+                <div class="showcase-section" data-lora-id="${lora.civitai?.modelId || ''}">
+                    <div class="showcase-tabs">
+                        <button class="tab-btn active" data-tab="showcase">Examples</button>
+                        <button class="tab-btn" data-tab="description">Model Description</button>
+                    </div>
+                    
+                    <div class="tab-content">
+                        <div id="showcase-tab" class="tab-pane active">
+                            ${renderShowcaseContent(lora.civitai?.images)}
+                        </div>
+                        
+                        <div id="description-tab" class="tab-pane">
+                            <div class="model-description-container">
+                                <div class="model-description-loading">
+                                    <i class="fas fa-spinner fa-spin"></i> Loading model description...
+                                </div>
+                                <div class="model-description-content">
+                                    ${lora.modelDescription || ''}
+                                </div>
+                            </div>
+                        </div>
+                    </div>
+                    
+                    <button class="back-to-top" onclick="scrollToTop(this)">
+                        <i class="fas fa-arrow-up"></i>
+                    </button>
+                </div>
             </div>
         </div>
     `;
@@ -92,6 +119,231 @@ export function showLoraModal(lora) {
     modalManager.showModal('loraModal', content);
     setupEditableFields();
     setupShowcaseScroll();
+    setupTabSwitching();
+    setupTagTooltip();
+    setupTriggerWordsEditMode();
+    
+    // If we have a model ID but no description, fetch it
+    if (lora.civitai?.modelId && !lora.modelDescription) {
+        loadModelDescription(lora.civitai.modelId, lora.file_path);
+    }
+}
+
+// Function to render showcase content
+function renderShowcaseContent(images) {
+    if (!images?.length) return '<div class="no-examples">No example images available</div>';
+    
+    // Filter images based on SFW setting
+    const showOnlySFW = state.settings.show_only_sfw;
+    let filteredImages = images;
+    let hiddenCount = 0;
+    
+    if (showOnlySFW) {
+        filteredImages = images.filter(img => {
+            const nsfwLevel = img.nsfwLevel !== undefined ? img.nsfwLevel : 0;
+            const isSfw = nsfwLevel < NSFW_LEVELS.R;
+            if (!isSfw) hiddenCount++;
+            return isSfw;
+        });
+    }
+    
+    // Show message if no images are available after filtering
+    if (filteredImages.length === 0) {
+        return `
+            <div class="no-examples">
+                <p>All example images are filtered due to NSFW content settings</p>
+                <p class="nsfw-filter-info">Your settings are currently set to show only safe-for-work content</p>
+                <p>You can change this in Settings <i class="fas fa-cog"></i></p>
+            </div>
+        `;
+    }
+    
+    // Show hidden content notification if applicable
+    const hiddenNotification = hiddenCount > 0 ? 
+        `<div class="nsfw-filter-notification">
+            <i class="fas fa-eye-slash"></i> ${hiddenCount} ${hiddenCount === 1 ? 'image' : 'images'} hidden due to SFW-only setting
+        </div>` : '';
+    
+    return `
+        <div class="scroll-indicator" onclick="toggleShowcase(this)">
+            <i class="fas fa-chevron-down"></i>
+            <span>Scroll or click to show ${filteredImages.length} examples</span>
+        </div>
+        <div class="carousel collapsed">
+            ${hiddenNotification}
+            <div class="carousel-container">
+                ${filteredImages.map(img => {
+                    // 计算适当的展示高度：
+                    // 1. 保持原始宽高比
+                    // 2. 限制最大高度为视窗高度的60%
+                    // 3. 确保最小高度为容器宽度的40%
+                    const aspectRatio = (img.height / img.width) * 100;
+                    const containerWidth = 800; // modal content的最大宽度
+                    const minHeightPercent = 40; // 最小高度为容器宽度的40%
+                    const maxHeightPercent = (window.innerHeight * 0.6 / containerWidth) * 100;
+                    const heightPercent = Math.max(
+                        minHeightPercent,
+                        Math.min(maxHeightPercent, aspectRatio)
+                    );
+                    
+                    // Check if image should be blurred
+                    const nsfwLevel = img.nsfwLevel !== undefined ? img.nsfwLevel : 0;
+                    const shouldBlur = state.settings.blurMatureContent && nsfwLevel > NSFW_LEVELS.PG13;
+                    
+                    // Determine NSFW warning text based on level
+                    let nsfwText = "Mature Content";
+                    if (nsfwLevel >= NSFW_LEVELS.XXX) {
+                        nsfwText = "XXX-rated Content";
+                    } else if (nsfwLevel >= NSFW_LEVELS.X) {
+                        nsfwText = "X-rated Content";
+                    } else if (nsfwLevel >= NSFW_LEVELS.R) {
+                        nsfwText = "R-rated Content";
+                    }
+                    
+                    if (img.type === 'video') {
+                        return `
+                            <div class="media-wrapper ${shouldBlur ? 'nsfw-media-wrapper' : ''}" style="padding-bottom: ${heightPercent}%">
+                                ${shouldBlur ? `
+                                    <button class="toggle-blur-btn showcase-toggle-btn" title="Toggle blur">
+                                        <i class="fas fa-eye"></i>
+                                    </button>
+                                ` : ''}
+                                <video controls autoplay muted loop crossorigin="anonymous" 
+                                       referrerpolicy="no-referrer" data-src="${img.url}"
+                                       class="lazy ${shouldBlur ? 'blurred' : ''}">
+                                    <source data-src="${img.url}" type="video/mp4">
+                                    Your browser does not support video playback
+                                </video>
+                                ${shouldBlur ? `
+                                    <div class="nsfw-overlay">
+                                        <div class="nsfw-warning">
+                                            <p>${nsfwText}</p>
+                                            <button class="show-content-btn">Show</button>
+                                        </div>
+                                    </div>
+                                ` : ''}
+                            </div>
+                        `;
+                    }
+                    return `
+                        <div class="media-wrapper ${shouldBlur ? 'nsfw-media-wrapper' : ''}" style="padding-bottom: ${heightPercent}%">
+                            ${shouldBlur ? `
+                                <button class="toggle-blur-btn showcase-toggle-btn" title="Toggle blur">
+                                    <i class="fas fa-eye"></i>
+                                </button>
+                            ` : ''}
+                            <img data-src="${img.url}" 
+                                alt="Preview" 
+                                crossorigin="anonymous" 
+                                referrerpolicy="no-referrer"
+                                width="${img.width}"
+                                height="${img.height}"
+                                class="lazy ${shouldBlur ? 'blurred' : ''}"> 
+                            ${shouldBlur ? `
+                                <div class="nsfw-overlay">
+                                    <div class="nsfw-warning">
+                                        <p>${nsfwText}</p>
+                                        <button class="show-content-btn">Show</button>
+                                    </div>
+                                </div>
+                            ` : ''}
+                        </div>
+                    `;
+                }).join('')}
+            </div>
+        </div>
+    `;
+}
+
+// New function to handle tab switching
+function setupTabSwitching() {
+    const tabButtons = document.querySelectorAll('.showcase-tabs .tab-btn');
+    
+    tabButtons.forEach(button => {
+        button.addEventListener('click', () => {
+            // Remove active class from all tabs
+            document.querySelectorAll('.showcase-tabs .tab-btn').forEach(btn => 
+                btn.classList.remove('active')
+            );
+            document.querySelectorAll('.tab-content .tab-pane').forEach(tab => 
+                tab.classList.remove('active')
+            );
+            
+            // Add active class to clicked tab
+            button.classList.add('active');
+            const tabId = `${button.dataset.tab}-tab`;
+            document.getElementById(tabId).classList.add('active');
+            
+            // If switching to description tab, make sure content is properly sized
+            if (button.dataset.tab === 'description') {
+                const descriptionContent = document.querySelector('.model-description-content');
+                if (descriptionContent) {
+                    const hasContent = descriptionContent.innerHTML.trim() !== '';
+                    document.querySelector('.model-description-loading')?.classList.add('hidden');
+                    
+                    // If no content, show a message
+                    if (!hasContent) {
+                        descriptionContent.innerHTML = '<div class="no-description">No model description available</div>';
+                        descriptionContent.classList.remove('hidden');
+                    }
+                }
+            }
+        });
+    });
+}
+
+// New function to load model description
+async function loadModelDescription(modelId, filePath) {
+    try {
+        const descriptionContainer = document.querySelector('.model-description-content');
+        const loadingElement = document.querySelector('.model-description-loading');
+        
+        if (!descriptionContainer || !loadingElement) return;
+        
+        // Show loading indicator
+        loadingElement.classList.remove('hidden');
+        descriptionContainer.classList.add('hidden');
+        
+        // Try to get model description from API
+        const response = await fetch(`/api/lora-model-description?model_id=${modelId}&file_path=${encodeURIComponent(filePath)}`);
+        
+        if (!response.ok) {
+            throw new Error(`Failed to fetch model description: ${response.statusText}`);
+        }
+        
+        const data = await response.json();
+        
+        if (data.success && data.description) {
+            // Update the description content
+            descriptionContainer.innerHTML = data.description;
+            
+            // Process any links in the description to open in new tab
+            const links = descriptionContainer.querySelectorAll('a');
+            links.forEach(link => {
+                link.setAttribute('target', '_blank');
+                link.setAttribute('rel', 'noopener noreferrer');
+            });
+            
+            // Show the description and hide loading indicator
+            descriptionContainer.classList.remove('hidden');
+            loadingElement.classList.add('hidden');
+        } else {
+            throw new Error(data.error || 'No description available');
+        }
+    } catch (error) {
+        console.error('Error loading model description:', error);
+        const loadingElement = document.querySelector('.model-description-loading');
+        if (loadingElement) {
+            loadingElement.innerHTML = `<div class="error-message">Failed to load model description. ${error.message}</div>`;
+        }
+        
+        // Show empty state message in the description container
+        const descriptionContainer = document.querySelector('.model-description-content');
+        if (descriptionContainer) {
+            descriptionContainer.innerHTML = '<div class="no-description">No model description available</div>';
+            descriptionContainer.classList.remove('hidden');
+        }
+    }
 }
 
 // 添加复制文件名的函数
@@ -324,85 +576,71 @@ async function saveModelMetadata(filePath, data) {
     }
 }
 
-function renderTriggerWords(words) {
+function renderTriggerWords(words, filePath) {
     if (!words.length) return `
         <div class="info-item full-width trigger-words">
-            <label>Trigger Words</label>
-            <span>No trigger word needed</span>
+            <div class="trigger-words-header">
+                <label>Trigger Words</label>
+                <button class="edit-trigger-words-btn" data-file-path="${filePath}" title="Edit trigger words">
+                    <i class="fas fa-pencil-alt"></i>
+                </button>
+            </div>
+            <div class="trigger-words-content">
+                <span class="no-trigger-words">No trigger word needed</span>
+                <div class="trigger-words-tags" style="display:none;"></div>
+            </div>
+            <div class="trigger-words-edit-controls" style="display:none;">
+                <button class="add-trigger-word-btn" title="Add a trigger word">
+                    <i class="fas fa-plus"></i> Add
+                </button>
+                <button class="save-trigger-words-btn" title="Save changes">
+                    <i class="fas fa-save"></i> Save
+                </button>
+            </div>
+            <div class="add-trigger-word-form" style="display:none;">
+                <input type="text" class="new-trigger-word-input" placeholder="Enter trigger word">
+                <button class="confirm-add-trigger-word-btn">Add</button>
+                <button class="cancel-add-trigger-word-btn">Cancel</button>
+            </div>
         </div>
     `;
     
     return `
         <div class="info-item full-width trigger-words">
-            <label>Trigger Words</label>
-            <div class="trigger-words-tags">
-                ${words.map(word => `
-                    <div class="trigger-word-tag" onclick="copyTriggerWord('${word}')">
-                        <span class="trigger-word-content">${word}</span>
-                        <span class="trigger-word-copy">
-                            <i class="fas fa-copy"></i>
-                        </span>
-                    </div>
-                `).join('')}
+            <div class="trigger-words-header">
+                <label>Trigger Words</label>
+                <button class="edit-trigger-words-btn" data-file-path="${filePath}" title="Edit trigger words">
+                    <i class="fas fa-pencil-alt"></i>
+                </button>
             </div>
-        </div>
-    `;
-}
-
-function renderShowcaseImages(images) {
-    if (!images?.length) return '';
-    
-    return `
-        <div class="showcase-section">
-            <div class="scroll-indicator" onclick="toggleShowcase(this)">
-                <i class="fas fa-chevron-down"></i>
-                <span>Scroll or click to show ${images.length} examples</span>
-            </div>
-            <div class="carousel collapsed">
-                <div class="carousel-container">
-                    ${images.map(img => {
-                        // 计算适当的展示高度：
-                        // 1. 保持原始宽高比
-                        // 2. 限制最大高度为视窗高度的60%
-                        // 3. 确保最小高度为容器宽度的40%
-                        const aspectRatio = (img.height / img.width) * 100;
-                        const containerWidth = 800; // modal content的最大宽度
-                        const minHeightPercent = 40; // 最小高度为容器宽度的40%
-                        const maxHeightPercent = (window.innerHeight * 0.6 / containerWidth) * 100;
-                        const heightPercent = Math.max(
-                            minHeightPercent,
-                            Math.min(maxHeightPercent, aspectRatio)
-                        );
-                        
-                        if (img.type === 'video') {
-                            return `
-                                <div class="media-wrapper" style="padding-bottom: ${heightPercent}%">
-                                    <video controls autoplay muted loop crossorigin="anonymous" 
-                                           referrerpolicy="no-referrer" data-src="${img.url}"
-                                           class="lazy">
-                                        <source data-src="${img.url}" type="video/mp4">
-                                        Your browser does not support video playback
-                                    </video>
-                                </div>
-                            `;
-                        }
-                        return `
-                            <div class="media-wrapper" style="padding-bottom: ${heightPercent}%">
-                                <img data-src="${img.url}" 
-                                     alt="Preview" 
-                                     crossorigin="anonymous" 
-                                     referrerpolicy="no-referrer"
-                                     width="${img.width}"
-                                     height="${img.height}"
-                                     class="lazy"> 
-                            </div>
-                        `;
-                    }).join('')}
+            <div class="trigger-words-content">
+                <div class="trigger-words-tags">
+                    ${words.map(word => `
+                        <div class="trigger-word-tag" data-word="${word}" onclick="copyTriggerWord('${word}')">
+                            <span class="trigger-word-content">${word}</span>
+                            <span class="trigger-word-copy">
+                                <i class="fas fa-copy"></i>
+                            </span>
+                            <button class="delete-trigger-word-btn" style="display:none;" onclick="event.stopPropagation();">
+                                <i class="fas fa-times"></i>
+                            </button>
+                        </div>
+                    `).join('')}
                 </div>
             </div>
-            <button class="back-to-top" onclick="scrollToTop(this)">
-                <i class="fas fa-arrow-up"></i>
-            </button>
+            <div class="trigger-words-edit-controls" style="display:none;">
+                <button class="add-trigger-word-btn" title="Add a trigger word">
+                    <i class="fas fa-plus"></i> Add
+                </button>
+                <button class="save-trigger-words-btn" title="Save changes">
+                    <i class="fas fa-save"></i> Save
+                </button>
+            </div>
+            <div class="add-trigger-word-form" style="display:none;">
+                <input type="text" class="new-trigger-word-input" placeholder="Enter trigger word">
+                <button class="confirm-add-trigger-word-btn">Add</button>
+                <button class="cancel-add-trigger-word-btn">Cancel</button>
+            </div>
         </div>
     `;
 }
@@ -420,6 +658,9 @@ export function toggleShowcase(element) {
         indicator.textContent = `Scroll or click to hide examples`;
         icon.classList.replace('fa-chevron-down', 'fa-chevron-up');
         initLazyLoading(carousel);
+        
+        // Initialize NSFW content blur toggle handlers
+        initNsfwBlurHandlers(carousel);
     } else {
         const count = carousel.querySelectorAll('.media-wrapper').length;
         indicator.textContent = `Scroll or click to show ${count} examples`;
@@ -427,6 +668,57 @@ export function toggleShowcase(element) {
     }
 }
 
+// New function to initialize blur toggle handlers for showcase images/videos
+function initNsfwBlurHandlers(container) {
+    // Handle toggle blur buttons
+    const toggleButtons = container.querySelectorAll('.toggle-blur-btn');
+    toggleButtons.forEach(btn => {
+        btn.addEventListener('click', (e) => {
+            e.stopPropagation();
+            const wrapper = btn.closest('.media-wrapper');
+            const media = wrapper.querySelector('img, video');
+            const isBlurred = media.classList.toggle('blurred');
+            const icon = btn.querySelector('i');
+            
+            // Update the icon based on blur state
+            if (isBlurred) {
+                icon.className = 'fas fa-eye';
+            } else {
+                icon.className = 'fas fa-eye-slash';
+            }
+            
+            // Toggle the overlay visibility
+            const overlay = wrapper.querySelector('.nsfw-overlay');
+            if (overlay) {
+                overlay.style.display = isBlurred ? 'flex' : 'none';
+            }
+        });
+    });
+    
+    // Handle "Show" buttons in overlays
+    const showButtons = container.querySelectorAll('.show-content-btn');
+    showButtons.forEach(btn => {
+        btn.addEventListener('click', (e) => {
+            e.stopPropagation();
+            const wrapper = btn.closest('.media-wrapper');
+            const media = wrapper.querySelector('img, video');
+            media.classList.remove('blurred');
+            
+            // Update the toggle button icon
+            const toggleBtn = wrapper.querySelector('.toggle-blur-btn');
+            if (toggleBtn) {
+                toggleBtn.querySelector('i').className = 'fas fa-eye-slash';
+            }
+            
+            // Hide the overlay
+            const overlay = wrapper.querySelector('.nsfw-overlay');
+            if (overlay) {
+                overlay.style.display = 'none';
+            }
+        });
+    });
+}
+
 // Add lazy loading initialization
 function initLazyLoading(container) {
     const lazyElements = container.querySelectorAll('.lazy');
@@ -558,4 +850,315 @@ function formatFileSize(bytes) {
     }
     
     return `${size.toFixed(1)} ${units[unitIndex]}`;
-} 
+}
+
+// Add tag copy functionality
+window.copyTag = async function(tag) {
+    try {
+        await navigator.clipboard.writeText(tag);
+        showToast('Tag copied to clipboard', 'success');
+    } catch (err) {
+        console.error('Copy failed:', err);
+        showToast('Copy failed', 'error');
+    }
+};
+
+// New function to render compact tags with tooltip
+function renderCompactTags(tags) {
+    if (!tags || tags.length === 0) return '';
+    
+    // Display up to 5 tags, with a tooltip indicator if there are more
+    const visibleTags = tags.slice(0, 5);
+    const remainingCount = Math.max(0, tags.length - 5);
+    
+    return `
+        <div class="model-tags-container">
+            <div class="model-tags-compact">
+                ${visibleTags.map(tag => `<span class="model-tag-compact">${tag}</span>`).join('')}
+                ${remainingCount > 0 ? 
+                    `<span class="model-tag-more" data-count="${remainingCount}">+${remainingCount}</span>` : 
+                    ''}
+            </div>
+            ${tags.length > 0 ? 
+                `<div class="model-tags-tooltip">
+                    <div class="tooltip-content">
+                        ${tags.map(tag => `<span class="tooltip-tag">${tag}</span>`).join('')}
+                    </div>
+                </div>` : 
+                ''}
+        </div>
+    `;
+}
+
+// Setup tooltip functionality
+function setupTagTooltip() {
+    const tagsContainer = document.querySelector('.model-tags-container');
+    const tooltip = document.querySelector('.model-tags-tooltip');
+    
+    if (tagsContainer && tooltip) {
+        tagsContainer.addEventListener('mouseenter', () => {
+            tooltip.classList.add('visible');
+        });
+        
+        tagsContainer.addEventListener('mouseleave', () => {
+            tooltip.classList.remove('visible');
+        });
+    }
+}
+
+// Set up trigger words edit mode
+function setupTriggerWordsEditMode() {
+    const editBtn = document.querySelector('.edit-trigger-words-btn');
+    if (!editBtn) return;
+    
+    editBtn.addEventListener('click', function() {
+        const triggerWordsSection = this.closest('.trigger-words');
+        const isEditMode = triggerWordsSection.classList.toggle('edit-mode');
+        
+        // Toggle edit mode UI elements
+        const triggerWordTags = triggerWordsSection.querySelectorAll('.trigger-word-tag');
+        const editControls = triggerWordsSection.querySelector('.trigger-words-edit-controls');
+        const noTriggerWords = triggerWordsSection.querySelector('.no-trigger-words');
+        const tagsContainer = triggerWordsSection.querySelector('.trigger-words-tags');
+        
+        if (isEditMode) {
+            this.innerHTML = '<i class="fas fa-times"></i>'; // Change to cancel icon
+            this.title = "Cancel editing";
+            editControls.style.display = 'flex';
+            
+            // If we have no trigger words yet, hide the "No trigger word needed" text
+            // and show the empty tags container
+            if (noTriggerWords) {
+                noTriggerWords.style.display = 'none';
+                if (tagsContainer) tagsContainer.style.display = 'flex';
+            }
+            
+            // Disable click-to-copy and show delete buttons
+            triggerWordTags.forEach(tag => {
+                tag.onclick = null;
+                tag.querySelector('.trigger-word-copy').style.display = 'none';
+                tag.querySelector('.delete-trigger-word-btn').style.display = 'block';
+            });
+        } else {
+            this.innerHTML = '<i class="fas fa-pencil-alt"></i>'; // Change back to edit icon
+            this.title = "Edit trigger words";
+            editControls.style.display = 'none';
+            
+            // If we have no trigger words, show the "No trigger word needed" text
+            // and hide the empty tags container
+            const currentTags = triggerWordsSection.querySelectorAll('.trigger-word-tag');
+            if (noTriggerWords && currentTags.length === 0) {
+                noTriggerWords.style.display = '';
+                if (tagsContainer) tagsContainer.style.display = 'none';
+            }
+            
+            // Restore original state
+            triggerWordTags.forEach(tag => {
+                const word = tag.dataset.word;
+                tag.onclick = () => copyTriggerWord(word);
+                tag.querySelector('.trigger-word-copy').style.display = 'flex';
+                tag.querySelector('.delete-trigger-word-btn').style.display = 'none';
+            });
+            
+            // Hide add form if open
+            triggerWordsSection.querySelector('.add-trigger-word-form').style.display = 'none';
+        }
+    });
+    
+    // Set up add trigger word button
+    const addBtn = document.querySelector('.add-trigger-word-btn');
+    if (addBtn) {
+        addBtn.addEventListener('click', function() {
+            const triggerWordsSection = this.closest('.trigger-words');
+            const addForm = triggerWordsSection.querySelector('.add-trigger-word-form');
+            addForm.style.display = 'flex';
+            addForm.querySelector('input').focus();
+        });
+    }
+    
+    // Set up confirm and cancel add buttons
+    const confirmAddBtn = document.querySelector('.confirm-add-trigger-word-btn');
+    const cancelAddBtn = document.querySelector('.cancel-add-trigger-word-btn');
+    const triggerWordInput = document.querySelector('.new-trigger-word-input');
+    
+    if (confirmAddBtn && triggerWordInput) {
+        confirmAddBtn.addEventListener('click', function() {
+            addNewTriggerWord(triggerWordInput.value);
+        });
+        
+        // Add keydown event to input
+        triggerWordInput.addEventListener('keydown', function(e) {
+            if (e.key === 'Enter') {
+                e.preventDefault();
+                addNewTriggerWord(this.value);
+            }
+        });
+    }
+    
+    if (cancelAddBtn) {
+        cancelAddBtn.addEventListener('click', function() {
+            const addForm = this.closest('.add-trigger-word-form');
+            addForm.style.display = 'none';
+            addForm.querySelector('input').value = '';
+        });
+    }
+    
+    // Set up save button
+    const saveBtn = document.querySelector('.save-trigger-words-btn');
+    if (saveBtn) {
+        saveBtn.addEventListener('click', saveTriggerWords);
+    }
+    
+    // Set up delete buttons
+    document.querySelectorAll('.delete-trigger-word-btn').forEach(btn => {
+        btn.addEventListener('click', function(e) {
+            e.stopPropagation();
+            const tag = this.closest('.trigger-word-tag');
+            tag.remove();
+        });
+    });
+}
+
+// Function to add a new trigger word
+function addNewTriggerWord(word) {
+    word = word.trim();
+    if (!word) return;
+    
+    const triggerWordsSection = document.querySelector('.trigger-words');
+    let tagsContainer = document.querySelector('.trigger-words-tags');
+    
+    // Ensure tags container exists and is visible
+    if (tagsContainer) {
+        tagsContainer.style.display = 'flex';
+    } else {
+        // Create tags container if it doesn't exist
+        const contentDiv = triggerWordsSection.querySelector('.trigger-words-content');
+        if (contentDiv) {
+            tagsContainer = document.createElement('div');
+            tagsContainer.className = 'trigger-words-tags';
+            contentDiv.appendChild(tagsContainer);
+        }
+    }
+    
+    if (!tagsContainer) return;
+    
+    // Hide "no trigger words" message if it exists
+    const noTriggerWordsMsg = triggerWordsSection.querySelector('.no-trigger-words');
+    if (noTriggerWordsMsg) {
+        noTriggerWordsMsg.style.display = 'none';
+    }
+    
+    // Validation: Check length
+    if (word.split(/\s+/).length > 30) {
+        showToast('Trigger word should not exceed 30 words', 'error');
+        return;
+    }
+    
+    // Validation: Check total number
+    const currentTags = tagsContainer.querySelectorAll('.trigger-word-tag');
+    if (currentTags.length >= 10) {
+        showToast('Maximum 10 trigger words allowed', 'error');
+        return;
+    }
+    
+    // Validation: Check for duplicates
+    const existingWords = Array.from(currentTags).map(tag => tag.dataset.word);
+    if (existingWords.includes(word)) {
+        showToast('This trigger word already exists', 'error');
+        return;
+    }
+    
+    // Create new tag
+    const newTag = document.createElement('div');
+    newTag.className = 'trigger-word-tag';
+    newTag.dataset.word = word;
+    newTag.innerHTML = `
+        <span class="trigger-word-content">${word}</span>
+        <span class="trigger-word-copy" style="display:none;">
+            <i class="fas fa-copy"></i>
+        </span>
+        <button class="delete-trigger-word-btn" onclick="event.stopPropagation();">
+            <i class="fas fa-times"></i>
+        </button>
+    `;
+    
+    // Add event listener to delete button
+    const deleteBtn = newTag.querySelector('.delete-trigger-word-btn');
+    deleteBtn.addEventListener('click', function() {
+        newTag.remove();
+    });
+    
+    tagsContainer.appendChild(newTag);
+    
+    // Clear and hide the input form
+    const triggerWordInput = document.querySelector('.new-trigger-word-input');
+    triggerWordInput.value = '';
+    document.querySelector('.add-trigger-word-form').style.display = 'none';
+}
+
+// Function to save updated trigger words
+async function saveTriggerWords() {
+    const filePath = document.querySelector('.edit-trigger-words-btn').dataset.filePath;
+    const triggerWordTags = document.querySelectorAll('.trigger-word-tag');
+    const words = Array.from(triggerWordTags).map(tag => tag.dataset.word);
+    
+    try {
+        // Special format for updating nested civitai.trainedWords
+        await saveModelMetadata(filePath, {
+            civitai: { trainedWords: words }
+        });
+        
+        // Update UI
+        const editBtn = document.querySelector('.edit-trigger-words-btn');
+        editBtn.click(); // Exit edit mode
+        
+        // Update the LoRA card's dataset
+        const loraCard = document.querySelector(`.lora-card[data-filepath="${filePath}"]`);
+        if (loraCard) {
+            try {
+                // Create a proper structure for civitai data
+                let civitaiData = {};
+                
+                // Parse existing data if available
+                if (loraCard.dataset.meta) {
+                    civitaiData = JSON.parse(loraCard.dataset.meta);
+                }
+                
+                // Update trainedWords property
+                civitaiData.trainedWords = words;
+                
+                // Update the meta dataset attribute with the full civitai data
+                loraCard.dataset.meta = JSON.stringify(civitaiData);
+                
+                // For debugging, log the updated data to verify it's correct
+                console.log("Updated civitai data:", civitaiData);
+            } catch (e) {
+                console.error('Error updating civitai data:', e);
+            }
+        }
+        
+        // If we saved an empty array and there's a no-trigger-words element, show it
+        const noTriggerWords = document.querySelector('.no-trigger-words');
+        const tagsContainer = document.querySelector('.trigger-words-tags');
+        if (words.length === 0 && noTriggerWords) {
+            noTriggerWords.style.display = '';
+            if (tagsContainer) tagsContainer.style.display = 'none';
+        }
+        
+        showToast('Trigger words updated successfully', 'success');
+    } catch (error) {
+        console.error('Error saving trigger words:', error);
+        showToast('Failed to update trigger words', 'error');
+    }
+}
+
+// Add copy trigger word function
+window.copyTriggerWord = async function(word) {
+    try {
+        await navigator.clipboard.writeText(word);
+        showToast('Trigger word copied', 'success');
+    } catch (err) {
+        console.error('Copy failed:', err);
+        showToast('Copy failed', 'error');
+    }
+};

static/js/main.js

@@ -2,7 +2,7 @@ import { debounce } from './utils/debounce.js';
 import { LoadingManager } from './managers/LoadingManager.js';
 import { modalManager } from './managers/ModalManager.js';
 import { updateService } from './managers/UpdateService.js';
-import { state } from './state/index.js';
+import { state, initSettings } from './state/index.js';
 import { showLoraModal } from './components/LoraModal.js';
 import { toggleShowcase, scrollToTop } from './components/LoraModal.js';
 import { loadMoreLoras, fetchCivitai, deleteModel, replacePreview, resetAndReload, refreshLoras } from './api/loraApi.js';
@@ -67,6 +67,9 @@ window.bulkManager = bulkManager;
 
 // Initialize everything when DOM is ready
 document.addEventListener('DOMContentLoaded', async () => {
+    // Ensure settings are initialized
+    initSettings();
+    
     state.loadingManager = new LoadingManager();
     modalManager.initialize();  // Initialize modalManager after DOM is loaded
     updateService.initialize(); // Initialize updateService after modalManager

static/js/managers/DownloadManager.js

@@ -269,7 +269,8 @@ export class DownloadManager {
             this.loadingManager.show('Downloading LoRA...', 0);
 
             // Setup WebSocket for progress updates
-            const ws = new WebSocket(`ws://${window.location.host}/ws/fetch-progress`);
+            const wsProtocol = window.location.protocol === 'https:' ? 'wss://' : 'ws://';
+            const ws = new WebSocket(`${wsProtocol}${window.location.host}/ws/fetch-progress`);
             ws.onmessage = (event) => {
                 const data = JSON.parse(event.data);
                 if (data.status === 'progress') {

static/js/managers/FilterManager.js

@@ -6,7 +6,8 @@ import { resetAndReload } from '../api/loraApi.js';
 export class FilterManager {
     constructor() {
         this.filters = {
-            baseModel: []
+            baseModel: [],
+            tags: []
         };
         
         this.filterPanel = document.getElementById('filterPanel');
@@ -34,6 +35,77 @@ export class FilterManager {
         this.loadFiltersFromStorage();
     }
     
+    async loadTopTags() {
+        try {
+            // Show loading state
+            const tagsContainer = document.getElementById('modelTagsFilter');
+            if (tagsContainer) {
+                tagsContainer.innerHTML = '<div class="tags-loading">Loading tags...</div>';
+            }
+            
+            const response = await fetch('/api/top-tags?limit=20');
+            if (!response.ok) throw new Error('Failed to fetch tags');
+            
+            const data = await response.json();
+            console.log('Top tags:', data);
+            if (data.success && data.tags) {
+                this.createTagFilterElements(data.tags);
+                
+                // After creating tag elements, mark any previously selected ones
+                this.updateTagSelections();
+            } else {
+                throw new Error('Invalid response format');
+            }
+        } catch (error) {
+            console.error('Error loading top tags:', error);
+            const tagsContainer = document.getElementById('modelTagsFilter');
+            if (tagsContainer) {
+                tagsContainer.innerHTML = '<div class="tags-error">Failed to load tags</div>';
+            }
+        }
+    }
+    
+    createTagFilterElements(tags) {
+        const tagsContainer = document.getElementById('modelTagsFilter');
+        if (!tagsContainer) return;
+        
+        tagsContainer.innerHTML = '';
+        
+        if (!tags.length) {
+            tagsContainer.innerHTML = '<div class="no-tags">No tags available</div>';
+            return;
+        }
+        
+        tags.forEach(tag => {
+            const tagEl = document.createElement('div');
+            tagEl.className = 'filter-tag tag-filter';
+            // {tag: "name", count: number}
+            const tagName = tag.tag;
+            tagEl.dataset.tag = tagName;
+            tagEl.innerHTML = `${tagName} <span class="tag-count">${tag.count}</span>`;
+            
+            // Add click handler to toggle selection and automatically apply
+            tagEl.addEventListener('click', async () => {
+                tagEl.classList.toggle('active');
+                
+                if (tagEl.classList.contains('active')) {
+                    if (!this.filters.tags.includes(tagName)) {
+                        this.filters.tags.push(tagName);
+                    }
+                } else {
+                    this.filters.tags = this.filters.tags.filter(t => t !== tagName);
+                }
+                
+                this.updateActiveFiltersCount();
+                
+                // Auto-apply filter when tag is clicked
+                await this.applyFilters(false);
+            });
+            
+            tagsContainer.appendChild(tagEl);
+        });
+    }
+    
     createBaseModelTags() {
         const baseModelTagsContainer = document.getElementById('baseModelTags');
         if (!baseModelTagsContainer) return;
@@ -69,10 +141,13 @@ export class FilterManager {
     }
     
     toggleFilterPanel() {
+        const wasHidden = this.filterPanel.classList.contains('hidden');
+        
         this.filterPanel.classList.toggle('hidden');
         
-        // Mark selected filters
-        if (!this.filterPanel.classList.contains('hidden')) {
+        // If the panel is being opened, load the top tags and update selections
+        if (wasHidden) {
+            this.loadTopTags();
             this.updateTagSelections();
         }
     }
@@ -92,10 +167,21 @@ export class FilterManager {
                 tag.classList.remove('active');
             }
         });
+        
+        // Update model tags
+        const modelTags = document.querySelectorAll('.tag-filter');
+        modelTags.forEach(tag => {
+            const tagName = tag.dataset.tag;
+            if (this.filters.tags.includes(tagName)) {
+                tag.classList.add('active');
+            } else {
+                tag.classList.remove('active');
+            }
+        });
     }
     
     updateActiveFiltersCount() {
-        const totalActiveFilters = this.filters.baseModel.length;
+        const totalActiveFilters = this.filters.baseModel.length + this.filters.tags.length;
         
         if (totalActiveFilters > 0) {
             this.activeFiltersCount.textContent = totalActiveFilters;
@@ -119,7 +205,19 @@ export class FilterManager {
         if (this.hasActiveFilters()) {
             this.filterButton.classList.add('active');
             if (showToastNotification) {
-                showToast(`Filtering by ${this.filters.baseModel.length} base models`, 'success');
+                const baseModelCount = this.filters.baseModel.length;
+                const tagsCount = this.filters.tags.length;
+                
+                let message = '';
+                if (baseModelCount > 0 && tagsCount > 0) {
+                    message = `Filtering by ${baseModelCount} base model${baseModelCount > 1 ? 's' : ''} and ${tagsCount} tag${tagsCount > 1 ? 's' : ''}`;
+                } else if (baseModelCount > 0) {
+                    message = `Filtering by ${baseModelCount} base model${baseModelCount > 1 ? 's' : ''}`;
+                } else if (tagsCount > 0) {
+                    message = `Filtering by ${tagsCount} tag${tagsCount > 1 ? 's' : ''}`;
+                }
+                
+                showToast(message, 'success');
             }
         } else {
             this.filterButton.classList.remove('active');
@@ -132,7 +230,8 @@ export class FilterManager {
     async clearFilters() {
         // Clear all filters
         this.filters = {
-            baseModel: []
+            baseModel: [],
+            tags: []
         };
         
         // Update state
@@ -154,7 +253,14 @@ export class FilterManager {
         const savedFilters = localStorage.getItem('loraFilters');
         if (savedFilters) {
             try {
-                this.filters = JSON.parse(savedFilters);
+                const parsedFilters = JSON.parse(savedFilters);
+                
+                // Ensure backward compatibility with older filter format
+                this.filters = {
+                    baseModel: parsedFilters.baseModel || [],
+                    tags: parsedFilters.tags || []
+                };
+                
                 this.updateTagSelections();
                 this.updateActiveFiltersCount();
                 
@@ -168,6 +274,6 @@ export class FilterManager {
     }
     
     hasActiveFilters() {
-        return this.filters.baseModel.length > 0;
+        return this.filters.baseModel.length > 0 || this.filters.tags.length > 0;
     }
 }

static/js/managers/SettingsManager.js

@@ -1,5 +1,7 @@
 import { modalManager } from './ModalManager.js';
 import { showToast } from '../utils/uiHelpers.js';
+import { state, saveSettings } from '../state/index.js';
+import { resetAndReload } from '../api/loraApi.js';
 
 export class SettingsManager {
     constructor() {
@@ -20,6 +22,11 @@ export class SettingsManager {
                 mutations.forEach((mutation) => {
                     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();
+                        }
                     }
                 });
             });
@@ -30,6 +37,22 @@ export class SettingsManager {
         this.initialized = true;
     }
 
+    loadSettingsToUI() {
+        // Set frontend settings from state
+        const blurMatureContentCheckbox = document.getElementById('blurMatureContent');
+        if (blurMatureContentCheckbox) {
+            blurMatureContentCheckbox.checked = state.settings.blurMatureContent;
+        }
+        
+        const showOnlySFWCheckbox = document.getElementById('showOnlySFW');
+        if (showOnlySFWCheckbox) {
+            // Sync with state (backend will set this via template)
+            state.settings.show_only_sfw = showOnlySFWCheckbox.checked;
+        }
+        
+        // Backend settings are loaded from the template directly
+    }
+
     toggleSettings() {
         if (this.isOpen) {
             modalManager.closeModal('settingsModal');
@@ -40,16 +63,28 @@ export class SettingsManager {
     }
 
     async saveSettings() {
+        // Get frontend settings from UI
+        const blurMatureContent = document.getElementById('blurMatureContent').checked;
+        
+        // Get backend settings
         const apiKey = document.getElementById('civitaiApiKey').value;
+        const showOnlySFW = document.getElementById('showOnlySFW').checked;
+        
+        // Update frontend state and save to localStorage
+        state.settings.blurMatureContent = blurMatureContent;
+        state.settings.show_only_sfw = showOnlySFW;
+        saveSettings();
         
         try {
+            // Save backend settings via API
             const response = await fetch('/api/settings', {
                 method: 'POST',
                 headers: {
                     'Content-Type': 'application/json',
                 },
                 body: JSON.stringify({
-                    civitai_api_key: apiKey
+                    civitai_api_key: apiKey,
+                    show_only_sfw: showOnlySFW
                 })
             });
 
@@ -59,10 +94,31 @@ export class SettingsManager {
 
             showToast('Settings saved successfully', 'success');
             modalManager.closeModal('settingsModal');
+            
+            // Apply frontend settings immediately
+            this.applyFrontendSettings();
+            
+            // Reload the loras without updating folders
+            await resetAndReload(false);
         } catch (error) {
             showToast('Failed to save settings: ' + error.message, 'error');
         }
     }
+
+    applyFrontendSettings() {
+        // Apply blur setting to existing content
+        const blurSetting = state.settings.blurMatureContent;
+        document.querySelectorAll('.lora-card[data-nsfw="true"] .card-image').forEach(img => {
+            if (blurSetting) {
+                img.classList.add('nsfw-blur');
+            } else {
+                img.classList.remove('nsfw-blur');
+            }
+        });
+        
+        // For show_only_sfw, there's no immediate action needed as it affects content loading
+        // The setting will take effect on next reload
+    }
 }
 
 // Helper function for toggling API key visibility

static/js/managers/UpdateService.js

@@ -28,7 +28,10 @@ export class UpdateService {
         }
         
         // Perform update check if needed
-        this.checkForUpdates();
+        this.checkForUpdates().then(() => {
+            // Ensure badges are updated after checking
+            this.updateBadgeVisibility();
+        });
         
         // Set up event listener for update button
         const updateToggle = document.getElementById('updateToggleBtn');
@@ -43,7 +46,9 @@ export class UpdateService {
     async checkForUpdates() {
         // Check if we should perform an update check
         const now = Date.now();
-        if (now - this.lastCheckTime < this.updateCheckInterval) {
+        const forceCheck = this.lastCheckTime === 0;
+        
+        if (!forceCheck && now - this.lastCheckTime < this.updateCheckInterval) {
             // If we already have update info, just update the UI
             if (this.updateAvailable) {
                 this.updateBadgeVisibility();
@@ -61,8 +66,8 @@ export class UpdateService {
                 this.latestVersion = data.latest_version || "v0.0.0";
                 this.updateInfo = data;
                 
-                // Determine if update is available
-                this.updateAvailable = data.update_available;
+                // Explicitly set update availability based on version comparison
+                this.updateAvailable = this.isNewerVersion(this.latestVersion, this.currentVersion);
                 
                 // Update last check time
                 this.lastCheckTime = now;
@@ -83,6 +88,37 @@ export class UpdateService {
         }
     }
     
+    // Helper method to compare version strings
+    isNewerVersion(latestVersion, currentVersion) {
+        if (!latestVersion || !currentVersion) return false;
+        
+        // Remove 'v' prefix if present
+        const latest = latestVersion.replace(/^v/, '');
+        const current = currentVersion.replace(/^v/, '');
+        
+        // Split version strings into components
+        const latestParts = latest.split(/[-\.]/);
+        const currentParts = current.split(/[-\.]/);
+        
+        // Compare major, minor, patch versions
+        for (let i = 0; i < 3; i++) {
+            const latestNum = parseInt(latestParts[i] || '0', 10);
+            const currentNum = parseInt(currentParts[i] || '0', 10);
+            
+            if (latestNum > currentNum) return true;
+            if (latestNum < currentNum) return false;
+        }
+        
+        // If numeric versions are the same, check for beta/alpha status
+        const latestIsBeta = latest.includes('beta') || latest.includes('alpha');
+        const currentIsBeta = current.includes('beta') || current.includes('alpha');
+        
+        // Release version is newer than beta/alpha
+        if (!latestIsBeta && currentIsBeta) return true;
+        
+        return false;
+    }
+    
     updateBadgeVisibility() {
         const updateToggle = document.querySelector('.update-toggle');
         const updateBadge = document.querySelector('.update-toggle .update-badge');
@@ -94,14 +130,17 @@ export class UpdateService {
                 : "Check Updates";
         }
         
+        // Force updating badges visibility based on current state
+        const shouldShow = this.updateNotificationsEnabled && this.updateAvailable;
+        
         if (updateBadge) {
-            const shouldShow = this.updateNotificationsEnabled && this.updateAvailable;
             updateBadge.classList.toggle('hidden', !shouldShow);
+            console.log("Update badge visibility:", !shouldShow ? "hidden" : "visible");
         }
         
         if (cornerBadge) {
-            const shouldShow = this.updateNotificationsEnabled && this.updateAvailable;
             cornerBadge.classList.toggle('hidden', !shouldShow);
+            console.log("Corner badge visibility:", !shouldShow ? "hidden" : "visible");
         }
     }
     
@@ -194,6 +233,8 @@ export class UpdateService {
     async manualCheckForUpdates() {
         this.lastCheckTime = 0; // Reset last check time to force check
         await this.checkForUpdates();
+        // Ensure badge visibility is updated after manual check
+        this.updateBadgeVisibility();
     }
 }
 

static/js/state/index.js

@@ -8,10 +8,46 @@ export const state = {
     observer: null,
     previewVersions: new Map(),
     searchManager: null,
+    searchOptions: {
+        filename: true,
+        modelname: true,
+        tags: false,
+        recursive: false
+    },
     filters: {
-        baseModel: []
+        baseModel: [],
+        tags: []
     },
     bulkMode: false,
     selectedLoras: new Set(),
-    loraMetadataCache: new Map()
-};
+    loraMetadataCache: new Map(),
+    settings: {
+        blurMatureContent: true,
+        show_only_sfw: false
+    }
+};
+
+// Initialize settings from localStorage if available
+export function initSettings() {
+    try {
+        const savedSettings = localStorage.getItem('loraManagerSettings');
+        if (savedSettings) {
+            const parsedSettings = JSON.parse(savedSettings);
+            state.settings = { ...state.settings, ...parsedSettings };
+        }
+    } catch (error) {
+        console.error('Error loading settings from localStorage:', error);
+    }
+}
+
+// Save settings to localStorage
+export function saveSettings() {
+    try {
+        localStorage.setItem('loraManagerSettings', JSON.stringify(state.settings));
+    } catch (error) {
+        console.error('Error saving settings to localStorage:', error);
+    }
+}
+
+// Initialize settings on load
+initSettings();

static/js/utils/constants.js

@@ -31,7 +31,7 @@ export const BASE_MODELS = {
     LUMINA: "Lumina",
     KOLORS: "Kolors",
     NOOBAI: "NoobAI",
-    IL: "IL",
+    ILLUSTRIOUS: "Illustrious",
     PONY: "Pony",
     
     // Video models
@@ -82,9 +82,19 @@ export const BASE_MODEL_CLASSES = {
     [BASE_MODELS.LUMINA]: "lumina",
     [BASE_MODELS.KOLORS]: "kolors",
     [BASE_MODELS.NOOBAI]: "noobai",
-    [BASE_MODELS.IL]: "il",
+    [BASE_MODELS.ILLUSTRIOUS]: "il",
     [BASE_MODELS.PONY]: "pony",
     
     // Default
     [BASE_MODELS.UNKNOWN]: "unknown"
+};
+
+export const NSFW_LEVELS = {
+    UNKNOWN: 0,
+    PG: 1,
+    PG13: 2,
+    R: 4,
+    X: 8,
+    XXX: 16,
+    BLOCKED: 32
 };

static/js/utils/infiniteScroll.js

@@ -22,15 +22,8 @@ export function initializeInfiniteScroll() {
     } else {
         const sentinel = document.createElement('div');
         sentinel.id = 'scroll-sentinel';
-        sentinel.style.height = '20px'; // Increase height a bit
-        sentinel.style.width = '100%';  // Ensure full width
-        sentinel.style.position = 'relative'; // Ensure it's in the normal flow
+        sentinel.style.height = '10px';
         document.getElementById('loraGrid').appendChild(sentinel);
         state.observer.observe(sentinel);
     }
-
-    // Force layout recalculation
-    setTimeout(() => {
-        window.dispatchEvent(new Event('resize'));
-    }, 100);
-}
+} 

static/js/utils/search.js

@@ -7,11 +7,12 @@ export class SearchManager {
     constructor() {
         // Initialize search manager
         this.searchInput = document.getElementById('searchInput');
-        this.searchModeToggle = document.getElementById('searchModeToggle');
+        this.searchOptionsToggle = document.getElementById('searchOptionsToggle');
+        this.searchOptionsPanel = document.getElementById('searchOptionsPanel');
+        this.recursiveSearchToggle = document.getElementById('recursiveSearchToggle');
         this.searchDebounceTimeout = null;
         this.currentSearchTerm = '';
         this.isSearching = false;
-        this.isRecursiveSearch = false;
         
         // Add clear button
         this.createClearButton();
@@ -27,15 +28,19 @@ export class SearchManager {
             });
         }
 
-        if (this.searchModeToggle) {
-            // Initialize toggle state from localStorage or default to false
-            this.isRecursiveSearch = localStorage.getItem('recursiveSearch') === 'true';
-            this.updateToggleUI();
+        // Initialize search options
+        this.initSearchOptions();
+    }
 
-            this.searchModeToggle.addEventListener('click', () => {
-                this.isRecursiveSearch = !this.isRecursiveSearch;
-                localStorage.setItem('recursiveSearch', this.isRecursiveSearch);
-                this.updateToggleUI();
+    initSearchOptions() {
+        // Load recursive search state from localStorage
+        state.searchOptions.recursive = localStorage.getItem('recursiveSearch') === 'true';
+        
+        if (this.recursiveSearchToggle) {
+            this.recursiveSearchToggle.checked = state.searchOptions.recursive;
+            this.recursiveSearchToggle.addEventListener('change', (e) => {
+                state.searchOptions.recursive = e.target.checked;
+                localStorage.setItem('recursiveSearch', state.searchOptions.recursive);
                 
                 // Rerun search if there's an active search term
                 if (this.currentSearchTerm) {
@@ -43,6 +48,108 @@ export class SearchManager {
                 }
             });
         }
+        
+        // Setup search options toggle
+        if (this.searchOptionsToggle) {
+            this.searchOptionsToggle.addEventListener('click', () => {
+                this.toggleSearchOptionsPanel();
+            });
+        }
+        
+        // Close button for search options panel
+        const closeButton = document.getElementById('closeSearchOptions');
+        if (closeButton) {
+            closeButton.addEventListener('click', () => {
+                this.closeSearchOptionsPanel();
+            });
+        }
+        
+        // Setup search option tags
+        const optionTags = document.querySelectorAll('.search-option-tag');
+        optionTags.forEach(tag => {
+            const option = tag.dataset.option;
+            
+            // Initialize tag state from state
+            tag.classList.toggle('active', state.searchOptions[option]);
+            
+            tag.addEventListener('click', () => {
+                // Check if clicking would deselect the last active option
+                const activeOptions = document.querySelectorAll('.search-option-tag.active');
+                if (activeOptions.length === 1 && activeOptions[0] === tag) {
+                    // Don't allow deselecting the last option and show toast
+                    showToast('At least one search option must be selected', 'info');
+                    return;
+                }
+                
+                tag.classList.toggle('active');
+                state.searchOptions[option] = tag.classList.contains('active');
+                
+                // Save to localStorage
+                localStorage.setItem(`searchOption_${option}`, state.searchOptions[option]);
+                
+                // Rerun search if there's an active search term
+                if (this.currentSearchTerm) {
+                    this.performSearch(this.currentSearchTerm);
+                }
+            });
+            
+            // Load option state from localStorage or use default
+            const savedState = localStorage.getItem(`searchOption_${option}`);
+            if (savedState !== null) {
+                state.searchOptions[option] = savedState === 'true';
+                tag.classList.toggle('active', state.searchOptions[option]);
+            }
+        });
+        
+        // Ensure at least one search option is selected
+        this.validateSearchOptions();
+        
+        // Close panel when clicking outside
+        document.addEventListener('click', (e) => {
+            if (this.searchOptionsPanel && 
+                !this.searchOptionsPanel.contains(e.target) && 
+                e.target !== this.searchOptionsToggle &&
+                !this.searchOptionsToggle.contains(e.target)) {
+                this.closeSearchOptionsPanel();
+            }
+        });
+    }
+    
+    // Add method to validate search options
+    validateSearchOptions() {
+        const hasActiveOption = Object.values(state.searchOptions)
+            .some(value => value === true && value !== state.searchOptions.recursive);
+        
+        // If no search options are active, activate at least one default option
+        if (!hasActiveOption) {
+            state.searchOptions.filename = true;
+            localStorage.setItem('searchOption_filename', 'true');
+            
+            // Update UI to match
+            const fileNameTag = document.querySelector('.search-option-tag[data-option="filename"]');
+            if (fileNameTag) {
+                fileNameTag.classList.add('active');
+            }
+        }
+    }
+    
+    toggleSearchOptionsPanel() {
+        if (this.searchOptionsPanel) {
+            const isHidden = this.searchOptionsPanel.classList.contains('hidden');
+            if (isHidden) {
+                this.searchOptionsPanel.classList.remove('hidden');
+                this.searchOptionsToggle.classList.add('active');
+            } else {
+                this.closeSearchOptionsPanel();
+            }
+        }
+    }
+    
+    closeSearchOptionsPanel() {
+        if (this.searchOptionsPanel) {
+            this.searchOptionsPanel.classList.add('hidden');
+            this.searchOptionsToggle.classList.remove('active');
+        }
     }
 
     createClearButton() {
@@ -74,21 +181,6 @@ export class SearchManager {
         }
     }
 
-    updateToggleUI() {
-        if (this.searchModeToggle) {
-            this.searchModeToggle.classList.toggle('active', this.isRecursiveSearch);
-            this.searchModeToggle.title = this.isRecursiveSearch 
-                ? 'Recursive folder search (including subfolders)' 
-                : 'Current folder search only';
-            
-            // Update the icon to indicate the mode
-            const icon = this.searchModeToggle.querySelector('i');
-            if (icon) {
-                icon.className = this.isRecursiveSearch ? 'fas fa-folder-tree' : 'fas fa-folder';
-            }
-        }
-    }
-
     handleSearch(event) {
         if (this.searchDebounceTimeout) {
             clearTimeout(this.searchDebounceTimeout);
@@ -126,12 +218,17 @@ export class SearchManager {
             url.searchParams.set('sort_by', state.sortBy);
             url.searchParams.set('search', searchTerm);
             url.searchParams.set('fuzzy', 'true');
+            
+            // Add search options
+            url.searchParams.set('search_filename', state.searchOptions.filename.toString());
+            url.searchParams.set('search_modelname', state.searchOptions.modelname.toString());
+            url.searchParams.set('search_tags', state.searchOptions.tags.toString());
 
             // Always send folder parameter if there is an active folder
             if (state.activeFolder) {
                 url.searchParams.set('folder', state.activeFolder);
                 // Add recursive parameter when recursive search is enabled
-                url.searchParams.set('recursive', this.isRecursiveSearch.toString());
+                url.searchParams.set('recursive', state.searchOptions.recursive.toString());
             }
 
             const response = await fetch(url);

static/js/utils/uiHelpers.js

@@ -151,4 +151,15 @@ export function initBackToTop() {
     
     // Initial check
     toggleBackToTop();
+}
+
+export function getNSFWLevelName(level) {
+    if (level === 0) return 'Unknown';
+    if (level >= 32) return 'Blocked';
+    if (level >= 16) return 'XXX';
+    if (level >= 8) return 'X';
+    if (level >= 4) return 'R';
+    if (level >= 2) return 'PG13';
+    if (level >= 1) return 'PG';
+    return 'Unknown';
 }

templates/components/context_menu.html

@@ -14,6 +14,9 @@
     <div class="context-menu-item" data-action="preview">
         <i class="fas fa-image"></i> Replace Preview
     </div>
+    <div class="context-menu-item" data-action="set-nsfw">
+        <i class="fas fa-exclamation-triangle"></i> Set Content Rating
+    </div>
     <div class="context-menu-separator"></div>
     <div class="context-menu-item" data-action="move">
         <i class="fas fa-folder-open"></i> Move to Folder
@@ -21,4 +24,21 @@
     <div class="context-menu-item delete-item" data-action="delete">
         <i class="fas fa-trash"></i> Delete Model
     </div>
+</div>
+
+<div id="nsfwLevelSelector" class="nsfw-level-selector">
+    <div class="nsfw-level-header">
+        <h3>Set Content Rating</h3>
+        <button class="close-nsfw-selector"><i class="fas fa-times"></i></button>
+    </div>
+    <div class="nsfw-level-content">
+        <div class="current-level">Current: <span id="currentNSFWLevel">Unknown</span></div>
+        <div class="nsfw-level-options">
+            <button class="nsfw-level-btn" data-level="1">PG</button>
+            <button class="nsfw-level-btn" data-level="2">PG13</button>
+            <button class="nsfw-level-btn" data-level="4">R</button>
+            <button class="nsfw-level-btn" data-level="8">X</button>
+            <button class="nsfw-level-btn" data-level="16">XXX</button>
+        </div>
+    </div>
 </div>

templates/components/controls.html

@@ -37,8 +37,8 @@
             <input type="text" id="searchInput" placeholder="Search models..." />
             <!-- 清空按钮将由JavaScript动态添加到这里 -->
             <i class="fas fa-search search-icon"></i>
-            <button class="search-mode-toggle" id="searchModeToggle" title="Toggle recursive search in folders">
-                <i class="fas fa-folder"></i>
+            <button class="search-options-toggle" id="searchOptionsToggle" title="Search Options">
+                <i class="fas fa-sliders-h"></i>
             </button>
              <button class="search-filter-toggle" id="filterButton" onclick="filterManager.toggleFilterPanel()" title="Filter models">
                 <i class="fas fa-filter"></i>
@@ -48,6 +48,33 @@
     </div>
 </div>
 
+<!-- Add search options panel -->
+<div id="searchOptionsPanel" class="search-options-panel hidden">
+    <div class="options-header">
+        <h3>Search Options</h3>
+        <button class="close-options-btn" id="closeSearchOptions">
+            <i class="fas fa-times"></i>
+        </button>
+    </div>
+    <div class="options-section">
+        <h4>Search In:</h4>
+        <div class="search-option-tags">
+            <div class="search-option-tag active" data-option="filename">Filename</div>
+            <div class="search-option-tag active" data-option="tags">Tags</div>
+            <div class="search-option-tag active" data-option="modelname">Model Name</div>
+        </div>
+    </div>
+    <div class="options-section">
+        <div class="search-option-switch">
+            <span>Include Subfolders</span>
+            <label class="switch">
+                <input type="checkbox" id="recursiveSearchToggle">
+                <span class="slider round"></span>
+            </label>
+        </div>
+    </div>
+</div>
+
 <!-- Add filter panel -->
 <div id="filterPanel" class="filter-panel hidden">
     <div class="filter-header">
@@ -62,6 +89,13 @@
             <!-- Tags will be dynamically inserted here -->
         </div>
     </div>
+    <div class="filter-section">
+        <h4>Tags (Top 20)</h4>
+        <div class="filter-tags" id="modelTagsFilter">
+            <!-- Top tags will be dynamically inserted here -->
+            <div class="tags-loading">Loading tags...</div>
+        </div>
+    </div>
     <div class="filter-actions">
         <button class="clear-filters-btn" onclick="filterManager.clearFilters()">
             Clear All Filters

templates/components/modals.html

@@ -147,6 +147,40 @@
                     Used for authentication when downloading models from Civitai
                 </div>
             </div>
+            
+            <div class="settings-section">
+                <h3>Content Filtering</h3>
+                
+                <div class="setting-item">
+                    <div class="setting-info">
+                        <label for="blurMatureContent">Blur NSFW Content</label>
+                        <div class="input-help">
+                            Blur mature (NSFW) content preview images
+                        </div>
+                    </div>
+                    <div class="setting-control">
+                        <label class="toggle-switch">
+                            <input type="checkbox" id="blurMatureContent" checked>
+                            <span class="toggle-slider"></span>
+                        </label>
+                    </div>
+                </div>
+                
+                <div class="setting-item">
+                    <div class="setting-info">
+                        <label for="showOnlySFW">Show Only SFW Results</label>
+                        <div class="input-help">
+                            Filter out all NSFW content when browsing and searching
+                        </div>
+                    </div>
+                    <div class="setting-control">
+                        <label class="toggle-switch">
+                            <input type="checkbox" id="showOnlySFW" value="{{ settings.get('show_only_sfw', False) }}" {% if settings.get('show_only_sfw', False) %}checked{% endif %}>
+                            <span class="toggle-slider"></span>
+                        </label>
+                    </div>
+                </div>
+            </div>
         </div>
         <div class="modal-actions">
             <button class="primary-btn" onclick="settingsManager.saveSettings()">Save</button>

templates/loras.html

@@ -86,7 +86,7 @@
         {% else %}
             {% include 'components/controls.html' %}
             <!-- Lora卡片容器 -->
-            <div class="card-grid" id="loraGrid" style="height: calc(100vh - [header-height]px); overflow-y: auto;">
+            <div class="card-grid" id="loraGrid">
                 <!-- Cards will be dynamically inserted here -->
             </div>
             <!-- Bulk operations panel will be inserted here by JavaScript -->

web/comfyui/lora_loader.js

@@ -35,8 +35,12 @@ app.registerExtension({
             // Enable widget serialization
             node.serialize_widgets = true;
 
+            node.addInput("lora_stack", 'LORA_STACK', {
+                "shape": 7  // 7 is the shape of the optional input
+            });
+
             // Wait for node to be properly initialized
-            requestAnimationFrame(() => {               
+            requestAnimationFrame(() => {
                 // Restore saved value if exists
                 let existingLoras = [];
                 if (node.widgets_values && node.widgets_values.length > 0) {

web/comfyui/lora_stacker.js

@@ -0,0 +1,114 @@
+import { app } from "../../scripts/app.js";
+import { addLorasWidget } from "./loras_widget.js";
+
+// Extract pattern into a constant for consistent use
+const LORA_PATTERN = /<lora:([^:]+):([-\d\.]+)>/g;
+
+function mergeLoras(lorasText, lorasArr) {
+    const result = [];
+    let match;
+
+    // Parse text input and create initial entries
+    while ((match = LORA_PATTERN.exec(lorasText)) !== null) {
+        const name = match[1];
+        const inputStrength = Number(match[2]);
+        
+        // Find if this lora exists in the array data
+        const existingLora = lorasArr.find(l => l.name === name);
+        
+        result.push({
+            name: name,
+            // Use existing strength if available, otherwise use input strength
+            strength: existingLora ? existingLora.strength : inputStrength,
+            active: existingLora ? existingLora.active : true
+        });
+    }
+
+    return result;
+}
+
+app.registerExtension({
+    name: "LoraManager.LoraStacker",
+    
+    async nodeCreated(node) {
+        if (node.comfyClass === "Lora Stacker (LoraManager)") {
+            // Enable widget serialization
+            node.serialize_widgets = true;
+
+            node.addInput("lora_stack", 'LORA_STACK', {
+                "shape": 7  // 7 is the shape of the optional input
+            });
+
+            // Wait for node to be properly initialized
+            requestAnimationFrame(() => {               
+                // Restore saved value if exists
+                let existingLoras = [];
+                if (node.widgets_values && node.widgets_values.length > 0) {
+                    const savedValue = node.widgets_values[1];
+                    // TODO: clean up this code
+                    try {
+                        // Check if the value is already an array/object
+                        if (typeof savedValue === 'object' && savedValue !== null) {
+                            existingLoras = savedValue;
+                        } else if (typeof savedValue === 'string') {
+                            existingLoras = JSON.parse(savedValue);
+                        }
+                    } catch (e) {
+                        console.warn("Failed to parse loras data:", e);
+                        existingLoras = [];
+                    }
+                }
+                // Merge the loras data
+                const mergedLoras = mergeLoras(node.widgets[0].value, existingLoras);
+                
+                // Add flag to prevent callback loops
+                let isUpdating = false;
+                 
+                // Get the widget object directly from the returned object
+                const result = addLorasWidget(node, "loras", {
+                    defaultVal: mergedLoras  // Pass object directly
+                }, (value) => {
+                    // Prevent recursive calls
+                    if (isUpdating) return;
+                    isUpdating = true;
+                    
+                    try {
+                        // Remove loras that are not in the value array
+                        const inputWidget = node.widgets[0];
+                        const currentLoras = value.map(l => l.name);
+                        
+                        // Use the constant pattern here as well
+                        let newText = inputWidget.value.replace(LORA_PATTERN, (match, name, strength) => {
+                            return currentLoras.includes(name) ? match : '';
+                        });
+                        
+                        // Clean up multiple spaces and trim
+                        newText = newText.replace(/\s+/g, ' ').trim();
+                        
+                        inputWidget.value = newText;
+                    } finally {
+                        isUpdating = false;
+                    }
+                });
+                
+                node.lorasWidget = result.widget;
+
+                // Update input widget callback
+                const inputWidget = node.widgets[0];
+                inputWidget.callback = (value) => {
+                    if (isUpdating) return;
+                    isUpdating = true;
+                    
+                    try {
+                        const currentLoras = node.lorasWidget.value || [];
+                        const mergedLoras = mergeLoras(value, currentLoras);
+                        
+                        node.lorasWidget.value = mergedLoras;
+                    } finally {
+                        isUpdating = false;
+                    }
+                };
+            });
+        }
+    },
+});

web/comfyui/tags_widget.js

@@ -142,13 +142,38 @@ export function addTagsWidget(node, name, opts, callback) {
       });
     },
     getMinHeight: function() {
-      // Calculate height based on content with minimal extra space
-      // Use a small buffer instead of explicit padding calculation
-      const buffer = 10; // Small buffer to ensure no overflow
-      return Math.max(
-        150,
-        Math.ceil((container.scrollHeight + buffer) / 5) * 5 // Round up to nearest 5px
-      );
+      const minHeight = 150;
+      // If no tags or only showing the empty message, return a minimum height
+      if (widgetValue.length === 0) {
+        return minHeight; // Height for empty state with message
+      }
+      
+      // Get all tag elements
+      const tagElements = container.querySelectorAll('.comfy-tag');
+      
+      if (tagElements.length === 0) {
+        return minHeight; // Fallback if elements aren't rendered yet
+      }
+      
+      // Calculate the actual height based on tag positions
+      let maxBottom = 0;
+      
+      tagElements.forEach(tag => {
+        const rect = tag.getBoundingClientRect();
+        const tagBottom = rect.bottom - container.getBoundingClientRect().top;
+        maxBottom = Math.max(maxBottom, tagBottom);
+      });
+      
+      // Add padding (top and bottom padding of container)
+      const computedStyle = window.getComputedStyle(container);
+      const paddingTop = parseInt(computedStyle.paddingTop, 10) || 0;
+      const paddingBottom = parseInt(computedStyle.paddingBottom, 10) || 0;
+      
+      // Add extra buffer for potential wrapping issues and to ensure no clipping
+      const extraBuffer = 20;
+      
+      // Round up to nearest 5px for clean sizing and ensure minimum height
+      return Math.max(minHeight, Math.ceil((maxBottom + paddingBottom + extraBuffer) / 5) * 5);
     },
   });
 

web/comfyui/trigger_word_toggle.js

@@ -2,6 +2,8 @@ import { app } from "../../scripts/app.js";
 import { api } from "../../scripts/api.js";
 import { addTagsWidget } from "./tags_widget.js";
 
+const CONVERTED_TYPE = 'converted-widget'
+
 // TriggerWordToggle extension for ComfyUI
 app.registerExtension({
     name: "LoraManager.TriggerWordToggle",
@@ -18,9 +20,13 @@ app.registerExtension({
         if (node.comfyClass === "TriggerWord Toggle (LoraManager)") {
             // Enable widget serialization
             node.serialize_widgets = true;
+            
+            node.addInput("trigger_words", 'string', {
+                "shape": 7  // 7 is the shape of the optional input
+            });
 
             // Wait for node to be properly initialized
-            requestAnimationFrame(() => {                 
+            requestAnimationFrame(() => {        
                 // Get the widget object directly from the returned object
                 const result = addTagsWidget(node, "toggle_trigger_words", {
                     defaultVal: []
@@ -28,13 +34,30 @@ app.registerExtension({
                 
                 node.tagWidget = result.widget;
 
+                // Add hidden widget to store original message
+                const hiddenWidget = node.addWidget('text', 'orinalMessage', '');
+                hiddenWidget.type = CONVERTED_TYPE;
+                hiddenWidget.hidden = true;
+                hiddenWidget.computeSize = () => [0, -4];
+
                 // Restore saved value if exists
                 if (node.widgets_values && node.widgets_values.length > 0) {
-                    // 0 is input, 1 is tag widget
+                    // 0 is group mode, 1 is input, 2 is tag widget, 3 is original message
                     const savedValue = node.widgets_values[1];
                     if (savedValue) {
                         result.widget.value = savedValue;
                     }
+                    const originalMessage = node.widgets_values[2];
+                    if (originalMessage) {
+                        hiddenWidget.value = originalMessage;
+                    }
+                }
+
+                const groupModeWidget = node.widgets[0];
+                groupModeWidget.callback = (value) => {
+                    if (node.widgets[2].value) {
+                        this.updateTagsBasedOnMode(node, node.widgets[2].value, value);
+                    }
                 }
             });
         }
@@ -48,31 +71,63 @@ app.registerExtension({
             return;
         }
         
+        // Store the original message for mode switching
+        node.widgets[2].value = message;
+
         if (node.tagWidget) {
-            // Convert comma-separated message to tag object format
-            if (typeof message === 'string') {
-                // Get existing tags to preserve active states
-                const existingTags = node.tagWidget.value || [];
-                
-                // Create a map of existing tags and their active states
-                const existingTagMap = {};
-                existingTags.forEach(tag => {
-                    existingTagMap[tag.text] = tag.active;
-                });
-                
-                // Process the incoming message
-                const tagArray = message
-                    .split(',')
-                    .map(word => word.trim())
-                    .filter(word => word)
-                    .map(word => ({
-                        text: word,
-                        // Keep previous active state if exists, otherwise default to true
-                        active: existingTagMap[word] !== undefined ? existingTagMap[word] : true
-                    }));
-                
-                node.tagWidget.value = tagArray;
-            }
+            // Parse tags based on current group mode
+            const groupMode = node.widgets[0] ? node.widgets[0].value : false;
+            this.updateTagsBasedOnMode(node, message, groupMode);
         }
     },
+    
+    // Update tags display based on group mode
+    updateTagsBasedOnMode(node, message, groupMode) {
+        if (!node.tagWidget) return;
+        
+        const existingTags = node.tagWidget.value || [];
+        const existingTagMap = {};
+        
+        // Create a map of existing tags and their active states
+        existingTags.forEach(tag => {
+            existingTagMap[tag.text] = tag.active;
+        });
+        
+        let tagArray = [];
+        
+        if (groupMode) {
+            if (message.trim() === '') {
+                tagArray = [];
+            }
+            // Group mode: split by ',,' and treat each group as a single tag
+            else if (message.includes(',,')) {
+                const groups = message.split(/,{2,}/); // Match 2 or more consecutive commas
+                tagArray = groups
+                    .map(group => group.trim())
+                    .filter(group => group)
+                    .map(group => ({
+                        text: group,
+                        active: existingTagMap[group] !== undefined ? existingTagMap[group] : true
+                    }));
+            } else {
+                // If no ',,' delimiter, treat the entire message as one group
+                tagArray = [{
+                    text: message.trim(),
+                    active: existingTagMap[message.trim()] !== undefined ? existingTagMap[message.trim()] : true
+                }];
+            }
+        } else {
+            // Normal mode: split by commas and treat each word as a separate tag
+            tagArray = message
+                .split(',')
+                .map(word => word.trim())
+                .filter(word => word)
+                .map(word => ({
+                    text: word,
+                    active: existingTagMap[word] !== undefined ? existingTagMap[word] : true
+                }));
+        }
+        
+        node.tagWidget.value = tagArray;
+    }
 });