chore: Update version to 0.8.29 and add release notes for enhanced recipe imports and bug fixes

Disable PySSSS autocomplete functionality in:
- Lora Loader
- Lora Stacker
- WanVideo Lora Select node

README.md

@@ -34,6 +34,48 @@ Enhance your Civitai browsing experience with our companion browser extension! S
 
 ## Release Notes
 
+### v0.8.29
+* **Enhanced Recipe Imports** - Improved recipe importing with new target folder selection, featuring path input autocomplete and interactive folder tree navigation. Added a "Use Default Path" option when downloading missing LoRAs.
+* **WanVideo Lora Select Node Update** - Updated the WanVideo Lora Select node with a 'merge_loras' option to match the counterpart node in the WanVideoWrapper node package.
+* **Autocomplete Conflict Resolution** - Resolved an autocomplete feature conflict in LoRA nodes with pysssss autocomplete.
+* **Improved Download Functionality** - Enhanced download functionality with resumable downloads and improved error handling.
+* **Bug Fixes** - Addressed several bugs for improved stability and performance.
+
+### v0.8.28
+* **Autocomplete for Node Inputs** - Instantly find and add LoRAs by filename directly in Lora Loader, Lora Stacker, and WanVideo Lora Select nodes. Autocomplete suggestions include preview tooltips and preset weights, allowing you to quickly select LoRAs without opening the LoRA Manager UI.
+* **Duplicate Notification Control** - Added a switch to duplicates mode, enabling users to turn off duplicate model notifications for a more streamlined experience.
+* **Download Example Images from Context Menu** - Introduced a new context menu option to download example images for individual models.
+
+### v0.8.27
+* **User Experience Enhancements** - Improved the model download target folder selection with path input autocomplete and interactive folder tree navigation, making it easier and faster to choose where models are saved.
+* **Default Path Option for Downloads** - Added a "Use Default Path" option when downloading models. When enabled, models are automatically organized and stored according to your configured path template settings.
+* **Advanced Download Path Templates** - Expanded path template settings, allowing users to set individual templates for LoRA, checkpoint, and embedding models for greater flexibility. Introduced the `{author}` placeholder, enabling automatic organization of model files by creator name.
+* **Bug Fixes & Stability Improvements** - Addressed various bugs and improved overall stability for a smoother experience.
+
+### v0.8.26
+* **Creator Search Option** - Added ability to search models by creator name, making it easier to find models from specific authors.
+* **Enhanced Node Usability** - Improved user experience for Lora Loader, Lora Stacker, and WanVideo Lora Select nodes by fixing the maximum height of the text input area. Users can now freely and conveniently adjust the LoRA region within these nodes.
+* **Compatibility Fixes** - Resolved compatibility issues with ComfyUI and certain custom nodes, including ComfyUI-Custom-Scripts, ensuring smoother integration and operation.
+
+### v0.8.25
+* **LoRA List Reordering**  
+  - Drag & Drop: Easily rearrange LoRA entries using the drag handle.
+  - Keyboard Shortcuts:  
+    - Arrow keys: Navigate between LoRAs  
+    - Ctrl/Cmd + Arrow: Move selected LoRA up/down  
+    - Ctrl/Cmd + Home/End: Move selected LoRA to top/bottom  
+    - Delete/Backspace: Remove selected LoRA  
+  - Context Menu: Right-click for quick actions like Move Up, Move Down, Move to Top, Move to Bottom.
+* **Bulk Operations for Checkpoints & Embeddings**  
+  - Bulk Mode: Select multiple checkpoints or embeddings for batch actions.
+  - Bulk Refresh: Update Civitai metadata for selected models.
+  - Bulk Delete: Remove multiple models at once.
+  - Bulk Move (Embeddings): Move selected embeddings to a different folder.
+* **New Setting: Auto Download Example Images**  
+  - Automatically fetch example images for models missing previews (requires download location to be set). Enabled by default.
+* **General Improvements**  
+  - Various user experience enhancements and stability fixes.
+
 ### v0.8.22
 * **Embeddings Management** - Added Embeddings page for comprehensive embedding model management.
 * **Advanced Sorting Options** - Introduced flexible sorting controls, allowing sorting by name, added date, or file size in both ascending and descending order.
@@ -70,52 +112,6 @@ Enhance your Civitai browsing experience with our companion browser extension! S
 * **Intelligent Word Suggestions** - Implemented smart trigger word suggestions by reading class tokens and tag frequency from safetensors files, displaying recommendations when editing trigger words
 * **Model Version Management** - Added "Re-link to CivitAI" context menu option for connecting models to different CivitAI versions when needed
 
-### v0.8.16
-* **Dramatic Startup Speed Improvement** - Added cache serialization mechanism for significantly faster loading times, especially beneficial for large model collections
-* **Enhanced Refresh Options** - Extended functionality with "Full Rebuild (complete)" option alongside "Quick Refresh (incremental)" to fix potential memory cache issues without requiring application restart
-* **Customizable Display Density** - Replaced compact mode with adjustable display density settings for personalized layout customization
-* **Model Creator Information** - Added creator details to model information panels for better attribution
-* **Improved WebP Support** - Enhanced Save Image node with workflow embedding capability for WebP format images
-* **Direct Example Access** - Added "Open Example Images Folder" button to card interfaces for convenient browsing of downloaded model examples
-* **Enhanced Compatibility** - Full ComfyUI Desktop support for "Send lora or recipe to workflow" functionality
-* **Cache Management** - Added settings to clear existing cache files when needed
-* **Bug Fixes & Stability** - Various improvements for overall reliability and performance
-
-### v0.8.15
-* **Enhanced One-Click Integration** - Replaced copy button with direct send button allowing LoRAs/recipes to be sent directly to your current ComfyUI workflow without needing to paste
-* **Flexible Workflow Integration** - Click to append LoRAs/recipes to existing loader nodes or Shift+click to replace content, with additional right-click menu options for "Send to Workflow (Append)" or "Send to Workflow (Replace)"
-* **Improved LoRA Loader Controls** - Added header drag functionality for proportional strength adjustment of all LoRAs simultaneously (including CLIP strengths when expanded)
-* **Keyboard Navigation Support** - Implemented Page Up/Down for page scrolling, Home key to jump to top, and End key to jump to bottom for faster browsing through large collections
-
-### v0.8.14
-* **Virtualized Scrolling** - Completely rebuilt rendering mechanism for smooth browsing with no lag or freezing, now supporting virtually unlimited model collections with optimized layouts for large displays, improving space utilization and user experience
-* **Compact Display Mode** - Added space-efficient view option that displays more cards per row (7 on 1080p, 8 on 2K, 10 on 4K)
-* **Enhanced LoRA Node Functionality** - Comprehensive improvements to LoRA loader/stacker nodes including real-time trigger word updates (reflecting any change anywhere in the LoRA chain for precise updates) and expanded context menu with "Copy Notes" and "Copy Trigger Words" options for faster workflow
-
-### v0.8.13
-* **Enhanced Recipe Management** - Added "Find duplicates" feature to identify and batch delete duplicate recipes with duplicate detection notifications during imports
-* **Improved Source Tracking** - Source URLs are now saved with recipes imported via URL, allowing users to view original content with one click or manually edit links
-* **Advanced LoRA Control** - Double-click LoRAs in Loader/Stacker nodes to access expanded CLIP strength controls for more precise adjustments of model and CLIP strength separately
-* **Lycoris Model Support** - Added compatibility with Lycoris models for expanded creative options
-* **Bug Fixes & UX Improvements** - Resolved various issues and enhanced overall user experience with numerous optimizations
-
-### v0.8.12
-* **Enhanced Model Discovery** - Added alphabetical navigation bar to LoRAs page for faster browsing through large collections
-* **Optimized Example Images** - Improved download logic to automatically refresh stale metadata before fetching example images
-* **Model Exclusion System** - New right-click option to exclude specific LoRAs or checkpoints from management
-* **Improved Showcase Experience** - Enhanced interaction in LoRA and checkpoint showcase areas for better usability
-
-### v0.8.11
-* **Offline Image Support** - Added functionality to download and save all model example images locally, ensuring access even when offline or if images are removed from CivitAI or the site is down
-* **Resilient Download System** - Implemented pause/resume capability with checkpoint recovery that persists through restarts or unexpected exits
-* **Bug Fixes & Stability** - Resolved various issues to enhance overall reliability and performance
-
-### v0.8.10
-* **Standalone Mode** - Run LoRA Manager independently from ComfyUI for a lightweight experience that works even with other stable diffusion interfaces
-* **Portable Edition** - New one-click portable version for easy startup and updates in standalone mode
-* **Enhanced Metadata Collection** - Added support for SamplerCustomAdvanced node in the metadata collector module
-* **Improved UI Organization** - Optimized Lora Loader node height to display up to 5 LoRAs at once with scrolling capability for larger collections
-
 [View Update History](./update_logs.md)
 
 ---
@@ -173,10 +169,11 @@ Enhance your Civitai browsing experience with our companion browser extension! S
 
 ### Option 2: **Portable Standalone Edition** (No ComfyUI required)
 
-1. Download the [Portable Package](https://github.com/willmiao/ComfyUI-Lora-Manager/releases/download/v0.8.15/lora_manager_portable.7z)
+1. Download the [Portable Package](https://github.com/willmiao/ComfyUI-Lora-Manager/releases/download/v0.8.26/lora_manager_portable.7z)
 2. Copy the provided `settings.json.example` file to create a new file named `settings.json` in `comfyui-lora-manager` folder
 3. Edit `settings.json` to include your correct model folder paths and CivitAI API key
 4. Run run.bat
+    - To change the startup port, edit `run.bat` and modify the parameter (e.g. `--port 9001`)
 
 ### Option 3: **Manual Installation**
 
@@ -306,3 +303,6 @@ Join our Discord community for support, discussions, and updates:
 [Discord Server](https://discord.gg/vcqNrWVFvM)
 
 ---
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=willmiao/ComfyUI-Lora-Manager&type=Date)](https://star-history.com/#willmiao/ComfyUI-Lora-Manager&Date)

__init__.py

@@ -1,5 +1,5 @@
 from .py.lora_manager import LoraManager
-from .py.nodes.lora_loader import LoraManagerLoader
+from .py.nodes.lora_loader import LoraManagerLoader, LoraManagerTextLoader
 from .py.nodes.trigger_word_toggle import TriggerWordToggle
 from .py.nodes.lora_stacker import LoraStacker
 from .py.nodes.save_image import SaveImage
@@ -10,6 +10,7 @@ from .py.metadata_collector import init as init_metadata_collector
 
 NODE_CLASS_MAPPINGS = {
     LoraManagerLoader.NAME: LoraManagerLoader,
+    LoraManagerTextLoader.NAME: LoraManagerTextLoader,
     TriggerWordToggle.NAME: TriggerWordToggle,
     LoraStacker.NAME: LoraStacker,
     SaveImage.NAME: SaveImage,

py/config.py

@@ -5,6 +5,7 @@ from typing import List
 import logging
 import sys
 import json
+import urllib.parse
 
 # Check if running in standalone mode
 standalone_mode = 'nodes' not in sys.modules
@@ -204,16 +205,20 @@ class Config:
                     real_path = os.path.normpath(os.path.realpath(path)).replace(os.sep, '/')
                     unet_map[real_path] = unet_map.get(real_path, path.replace(os.sep, "/"))  # preserve first seen
             
+            # Merge both maps and deduplicate by real path
+            merged_map = {}
+            for real_path, orig_path in {**checkpoint_map, **unet_map}.items():
+                if real_path not in merged_map:
+                    merged_map[real_path] = orig_path
+
             # Now sort and use only the deduplicated real paths
-            unique_checkpoint_paths = sorted(checkpoint_map.values(), key=lambda p: p.lower())
-            unique_unet_paths = sorted(unet_map.values(), key=lambda p: p.lower())
+            unique_paths = sorted(merged_map.values(), key=lambda p: p.lower())
             
-            # Store individual paths in class properties
-            self.checkpoints_roots = unique_checkpoint_paths
-            self.unet_roots = unique_unet_paths
+            # Split back into checkpoints and unet roots for class properties
+            self.checkpoints_roots = [p for p in unique_paths if p in checkpoint_map.values()]
+            self.unet_roots = [p for p in unique_paths if p in unet_map.values()]
             
-            # Combine all checkpoint-related paths for return value
-            all_paths = unique_checkpoint_paths + unique_unet_paths
+            all_paths = unique_paths
             
             logger.info("Found checkpoint roots:" + ("\n - " + "\n - ".join(all_paths) if all_paths else "[]"))
             
@@ -271,8 +276,10 @@ class Config:
 
         for path, route in self._route_mappings.items():
             if real_path.startswith(path):
-                relative_path = os.path.relpath(real_path, path)
-                return f'{route}/{relative_path.replace(os.sep, "/")}'
+                relative_path = os.path.relpath(real_path, path).replace(os.sep, '/')
+                safe_parts = [urllib.parse.quote(part) for part in relative_path.split('/')]
+                safe_path = '/'.join(safe_parts)
+                return f'{route}/{safe_path}'
 
         return ""
 

py/metadata_collector/metadata_processor.py

@@ -339,44 +339,8 @@ class MetadataProcessor:
                     is_custom_advanced = prompt.original_prompt[primary_sampler_id].get("class_type") == "SamplerCustomAdvanced"
                 
                 if is_custom_advanced:
-                    # For SamplerCustomAdvanced, trace specific inputs
-                    
-                    # 1. Trace sigmas input to find BasicScheduler
-                    scheduler_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "sigmas", "BasicScheduler", max_depth=5)
-                    if scheduler_node_id and scheduler_node_id in metadata.get(SAMPLING, {}):
-                        scheduler_params = metadata[SAMPLING][scheduler_node_id].get("parameters", {})
-                        params["steps"] = scheduler_params.get("steps")
-                        params["scheduler"] = scheduler_params.get("scheduler")
-                    
-                    # 2. Trace sampler input to find KSamplerSelect
-                    sampler_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "sampler", "KSamplerSelect", max_depth=5)
-                    if sampler_node_id and sampler_node_id in metadata.get(SAMPLING, {}):
-                        sampler_params = metadata[SAMPLING][sampler_node_id].get("parameters", {})
-                        params["sampler"] = sampler_params.get("sampler_name")
-                    
-                    # 3. Trace guider input for CFGGuider and CLIPTextEncode
-                    guider_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "guider", max_depth=5)
-                    if guider_node_id and guider_node_id in prompt.original_prompt:
-                        # Check if the guider node is a CFGGuider
-                        if prompt.original_prompt[guider_node_id].get("class_type") == "CFGGuider":
-                            # Extract cfg value from the CFGGuider
-                            if guider_node_id in metadata.get(SAMPLING, {}):
-                                cfg_params = metadata[SAMPLING][guider_node_id].get("parameters", {})
-                                params["cfg_scale"] = cfg_params.get("cfg")
-                            
-                            # Find CLIPTextEncode for positive prompt
-                            positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "positive", "CLIPTextEncode", max_depth=10)
-                            if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
-                                params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")
-                            
-                            # Find CLIPTextEncode for negative prompt
-                            negative_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "negative", "CLIPTextEncode", max_depth=10)
-                            if negative_node_id and negative_node_id in metadata.get(PROMPTS, {}):
-                                params["negative_prompt"] = metadata[PROMPTS][negative_node_id].get("text", "")
-                        else:
-                            positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", max_depth=10)
-                            if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
-                                params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")
+                    # For SamplerCustomAdvanced, use the new handler method
+                    MetadataProcessor.handle_custom_advanced_sampler(metadata, prompt, primary_sampler_id, params)
                 
                 else:
                     # For standard samplers, match conditioning objects to prompts
@@ -401,6 +365,9 @@ class MetadataProcessor:
                         negative_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "negative", max_depth=10)
                         if negative_node_id and negative_node_id in metadata.get(PROMPTS, {}):
                             params["negative_prompt"] = metadata[PROMPTS][negative_node_id].get("text", "")
+                    
+                    # For SamplerCustom, handle any additional parameters
+                    MetadataProcessor.handle_custom_advanced_sampler(metadata, prompt, primary_sampler_id, params)
                 
             # Size extraction is same for all sampler types
             # Check if the sampler itself has size information (from latent_image)
@@ -454,3 +421,59 @@ class MetadataProcessor:
         """Convert metadata to JSON string"""
         params = MetadataProcessor.to_dict(metadata, id)
         return json.dumps(params, indent=4)
+    
+    @staticmethod
+    def handle_custom_advanced_sampler(metadata, prompt, primary_sampler_id, params):
+        """
+        Handle parameter extraction for SamplerCustomAdvanced nodes
+        
+        Parameters:
+        - metadata: The workflow metadata
+        - prompt: The prompt object containing node connections
+        - primary_sampler_id: ID of the SamplerCustomAdvanced node
+        - params: Parameters dictionary to update
+        """
+        if not prompt.original_prompt or primary_sampler_id not in prompt.original_prompt:
+            return
+            
+        sampler_inputs = prompt.original_prompt[primary_sampler_id].get("inputs", {})
+        
+        # 1. Trace sigmas input to find BasicScheduler (only if sigmas input exists)
+        if "sigmas" in sampler_inputs:
+            scheduler_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "sigmas", None, max_depth=5)
+            if scheduler_node_id and scheduler_node_id in metadata.get(SAMPLING, {}):
+                scheduler_params = metadata[SAMPLING][scheduler_node_id].get("parameters", {})
+                params["steps"] = scheduler_params.get("steps")
+                params["scheduler"] = scheduler_params.get("scheduler")
+        
+        # 2. Trace sampler input to find KSamplerSelect (only if sampler input exists)
+        if "sampler" in sampler_inputs:
+            sampler_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "sampler", "KSamplerSelect", max_depth=5)
+            if sampler_node_id and sampler_node_id in metadata.get(SAMPLING, {}):
+                sampler_params = metadata[SAMPLING][sampler_node_id].get("parameters", {})
+                params["sampler"] = sampler_params.get("sampler_name")
+        
+        # 3. Trace guider input for CFGGuider and CLIPTextEncode
+        if "guider" in sampler_inputs:
+            guider_node_id = MetadataProcessor.trace_node_input(prompt, primary_sampler_id, "guider", max_depth=5)
+            if guider_node_id and guider_node_id in prompt.original_prompt:
+                # Check if the guider node is a CFGGuider
+                if prompt.original_prompt[guider_node_id].get("class_type") == "CFGGuider":
+                    # Extract cfg value from the CFGGuider
+                    if guider_node_id in metadata.get(SAMPLING, {}):
+                        cfg_params = metadata[SAMPLING][guider_node_id].get("parameters", {})
+                        params["cfg_scale"] = cfg_params.get("cfg")
+                    
+                    # Find CLIPTextEncode for positive prompt
+                    positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "positive", "CLIPTextEncode", max_depth=10)
+                    if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
+                        params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")
+                    
+                    # Find CLIPTextEncode for negative prompt
+                    negative_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "negative", "CLIPTextEncode", max_depth=10)
+                    if negative_node_id and negative_node_id in metadata.get(PROMPTS, {}):
+                        params["negative_prompt"] = metadata[PROMPTS][negative_node_id].get("text", "")
+                else:
+                    positive_node_id = MetadataProcessor.trace_node_input(prompt, guider_node_id, "conditioning", max_depth=10)
+                    if positive_node_id and positive_node_id in metadata.get(PROMPTS, {}):
+                        params["prompt"] = metadata[PROMPTS][positive_node_id].get("text", "")

py/metadata_collector/node_extractors.py

@@ -642,6 +642,7 @@ NODE_EXTRACTORS = {
     # Sampling
     "KSampler": SamplerExtractor,
     "KSamplerAdvanced": KSamplerAdvancedExtractor,
+    "SamplerCustom": KSamplerAdvancedExtractor,
     "SamplerCustomAdvanced": SamplerCustomAdvancedExtractor,
     "TSC_KSampler": TSCKSamplerExtractor,   # Efficient Nodes
     "TSC_KSamplerAdvanced": TSCKSamplerAdvancedExtractor,  # Efficient Nodes
@@ -652,9 +653,11 @@ NODE_EXTRACTORS = {
     # Sampling Selectors
     "KSamplerSelect": KSamplerSelectExtractor,  # Add KSamplerSelect
     "BasicScheduler": BasicSchedulerExtractor,  # Add BasicScheduler
+    "AlignYourStepsScheduler": BasicSchedulerExtractor,  # Add AlignYourStepsScheduler
     # Loaders
     "CheckpointLoaderSimple": CheckpointLoaderExtractor,
     "comfyLoader": CheckpointLoaderExtractor,  # easy comfyLoader
+    "CheckpointLoaderSimpleWithImages": CheckpointLoaderExtractor,  # CheckpointLoader|pysssss
     "TSC_EfficientLoader": TSCCheckpointLoaderExtractor,  # Efficient Nodes
     "UNETLoader": UNETLoaderExtractor,          # Updated to use dedicated extractor
     "UnetLoaderGGUF": UNETLoaderExtractor,  # Updated to use dedicated extractor

py/nodes/lora_loader.py

@@ -1,4 +1,5 @@
 import logging
+import re
 from nodes import LoraLoader
 from comfy.comfy_types import IO # type: ignore
 from ..utils.utils import get_lora_info
@@ -17,7 +18,8 @@ class LoraManagerLoader:
                 "model": ("MODEL",),
                 # "clip": ("CLIP",),
                 "text": (IO.STRING, {
-                    "multiline": True, 
+                    "multiline": True,
+                    "pysssss.autocomplete": False, 
                     "dynamicPrompts": True, 
                     "tooltip": "Format: <lora:lora_name:strength> separated by spaces or punctuation",
                     "placeholder": "LoRA syntax input: <lora:name:strength>"
@@ -128,4 +130,142 @@ class LoraManagerLoader:
                 
         formatted_loras_text = " ".join(formatted_loras)
 
+        return (model, clip, trigger_words_text, formatted_loras_text)
+
+class LoraManagerTextLoader:
+    NAME = "LoRA Text Loader (LoraManager)"
+    CATEGORY = "Lora Manager/loaders"
+    
+    @classmethod
+    def INPUT_TYPES(cls):
+        return {
+            "required": {
+                "model": ("MODEL",),
+                "lora_syntax": (IO.STRING, {
+                    "defaultInput": True,
+                    "forceInput": True,
+                    "tooltip": "Format: <lora:lora_name:strength> separated by spaces or punctuation"
+                }),
+            },
+            "optional": {
+                "clip": ("CLIP",),
+                "lora_stack": ("LORA_STACK",),
+            }
+        }
+
+    RETURN_TYPES = ("MODEL", "CLIP", IO.STRING, IO.STRING)
+    RETURN_NAMES = ("MODEL", "CLIP", "trigger_words", "loaded_loras")
+    FUNCTION = "load_loras_from_text"
+    
+    def parse_lora_syntax(self, text):
+        """Parse LoRA syntax from text input."""
+        # Pattern to match <lora:name:strength> or <lora:name:model_strength:clip_strength>
+        pattern = r'<lora:([^:>]+):([^:>]+)(?::([^:>]+))?>'
+        matches = re.findall(pattern, text, re.IGNORECASE)
+        
+        loras = []
+        for match in matches:
+            lora_name = match[0].strip()
+            model_strength = float(match[1])
+            clip_strength = float(match[2]) if match[2] else model_strength
+            
+            loras.append({
+                'name': lora_name,
+                'model_strength': model_strength,
+                'clip_strength': clip_strength
+            })
+        
+        return loras
+    
+    def load_loras_from_text(self, model, lora_syntax, clip=None, lora_stack=None):
+        """Load LoRAs based on text syntax input."""
+        loaded_loras = []
+        all_trigger_words = []
+        
+        # Check if model is a Nunchaku Flux model - simplified approach
+        is_nunchaku_model = False
+        
+        try:
+            model_wrapper = model.model.diffusion_model
+            # Check if model is a Nunchaku Flux model using only class name
+            if model_wrapper.__class__.__name__ == "ComfyFluxWrapper":
+                is_nunchaku_model = True
+                logger.info("Detected Nunchaku Flux model")
+        except (AttributeError, TypeError):
+            # Not a model with the expected structure
+            pass
+        
+        # First process lora_stack if available
+        if lora_stack:
+            for lora_path, model_strength, clip_strength in lora_stack:
+                # Apply the LoRA using the appropriate loader
+                if is_nunchaku_model:
+                    # Use our custom function for Flux models
+                    model = nunchaku_load_lora(model, lora_path, model_strength)
+                    # clip remains unchanged for Nunchaku models
+                else:
+                    # Use default loader for standard models
+                    model, clip = LoraLoader().load_lora(model, clip, lora_path, model_strength, clip_strength)
+                
+                # Extract lora name for trigger words lookup
+                lora_name = extract_lora_name(lora_path)
+                _, trigger_words = get_lora_info(lora_name)
+                
+                all_trigger_words.extend(trigger_words)
+                # Add clip strength to output if different from model strength (except for Nunchaku models)
+                if not is_nunchaku_model and abs(model_strength - clip_strength) > 0.001:
+                    loaded_loras.append(f"{lora_name}: {model_strength},{clip_strength}")
+                else:
+                    loaded_loras.append(f"{lora_name}: {model_strength}")
+        
+        # Parse and process LoRAs from text syntax
+        parsed_loras = self.parse_lora_syntax(lora_syntax)
+        for lora in parsed_loras:
+            lora_name = lora['name']
+            model_strength = lora['model_strength']
+            clip_strength = lora['clip_strength']
+            
+            # Get lora path and trigger words
+            lora_path, trigger_words = get_lora_info(lora_name)
+            
+            # Apply the LoRA using the appropriate loader
+            if is_nunchaku_model:
+                # For Nunchaku models, use our custom function
+                model = nunchaku_load_lora(model, lora_path, model_strength)
+                # clip remains unchanged
+            else:
+                # Use default loader for standard models
+                model, clip = LoraLoader().load_lora(model, clip, lora_path, model_strength, clip_strength)
+            
+            # Include clip strength in output if different from model strength and not a Nunchaku model
+            if not is_nunchaku_model and abs(model_strength - clip_strength) > 0.001:
+                loaded_loras.append(f"{lora_name}: {model_strength},{clip_strength}")
+            else:
+                loaded_loras.append(f"{lora_name}: {model_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 ""
+
+        # Format loaded_loras with support for both formats
+        formatted_loras = []
+        for item in loaded_loras:
+            parts = item.split(":")
+            lora_name = parts[0].strip()
+            strength_parts = parts[1].strip().split(",")
+            
+            if len(strength_parts) > 1:
+                # Different model and clip strengths
+                model_str = strength_parts[0].strip()
+                clip_str = strength_parts[1].strip()
+                formatted_loras.append(f"<lora:{lora_name}:{model_str}:{clip_str}>")
+            else:
+                # Same strength for both
+                model_str = strength_parts[0].strip()
+                formatted_loras.append(f"<lora:{lora_name}:{model_str}>")
+                
+        formatted_loras_text = " ".join(formatted_loras)
+
         return (model, clip, trigger_words_text, formatted_loras_text)

py/nodes/lora_stacker.py

@@ -17,6 +17,7 @@ class LoraStacker:
             "required": {
                 "text": (IO.STRING, {
                     "multiline": True, 
+                    "pysssss.autocomplete": False, 
                     "dynamicPrompts": True, 
                     "tooltip": "Format: <lora:lora_name:strength> separated by spaces or punctuation",
                     "placeholder": "LoRA syntax input: <lora:name:strength>"

py/nodes/save_image.py

@@ -1,6 +1,5 @@
 import json
 import os
-import asyncio
 import re
 import numpy as np
 import folder_paths # type: ignore
@@ -419,11 +418,15 @@ class SaveImage:
         # Make sure the output directory exists
         os.makedirs(self.output_dir, exist_ok=True)
         
-        # Ensure images is always a list of images
-        if len(images.shape) == 3:  # Single image (height, width, channels)
-            images = [images]
-        else:  # Multiple images (batch, height, width, channels)
-            images = [img for img in images]
+        # If images is already a list or array of images, do nothing; otherwise, convert to list
+        if isinstance(images, (list, np.ndarray)):
+            pass
+        else:
+            # Ensure images is always a list of images
+            if len(images.shape) == 3:  # Single image (height, width, channels)
+                images = [images]
+            else:  # Multiple images (batch, height, width, channels)
+                images = [img for img in images]
         
         # Save all images
         results = self.save_images(

py/nodes/wanvideo_lora_select.py

@@ -14,9 +14,11 @@ class WanVideoLoraSelect:
     def INPUT_TYPES(cls):
         return {
             "required": {
-                "low_mem_load": ("BOOLEAN", {"default": False, "tooltip": "Load the LORA model with less VRAM usage, slower loading"}),
+                "low_mem_load": ("BOOLEAN", {"default": False, "tooltip": "Load LORA models with less VRAM usage, slower loading. This affects ALL LoRAs, not just the current ones. No effect if merge_loras is False"}),
+                "merge_loras": ("BOOLEAN", {"default": True, "tooltip": "Merge LoRAs into the model, otherwise they are loaded on the fly. Always disabled for GGUF and scaled fp8 models. This affects ALL LoRAs, not just the current one"}),
                 "text": (IO.STRING, {
                     "multiline": True, 
+                    "pysssss.autocomplete": False, 
                     "dynamicPrompts": True, 
                     "tooltip": "Format: <lora:lora_name:strength> separated by spaces or punctuation",
                     "placeholder": "LoRA syntax input: <lora:name:strength>"
@@ -29,7 +31,7 @@ class WanVideoLoraSelect:
     RETURN_NAMES = ("lora", "trigger_words", "active_loras")
     FUNCTION = "process_loras"
     
-    def process_loras(self, text, low_mem_load=False, **kwargs):
+    def process_loras(self, text, low_mem_load=False, merge_loras=True, **kwargs):
         loras_list = []
         all_trigger_words = []
         active_loras = []
@@ -38,6 +40,9 @@ class WanVideoLoraSelect:
         prev_lora = kwargs.get('prev_lora', None)
         if prev_lora is not None:
             loras_list.extend(prev_lora)
+
+        if not merge_loras:
+            low_mem_load = False  # Unmerged LoRAs don't need low_mem_load
         
         # Get blocks if available
         blocks = kwargs.get('blocks', {})
@@ -65,6 +70,7 @@ class WanVideoLoraSelect:
                 "blocks": selected_blocks,
                 "layer_filter": layer_filter,
                 "low_mem_load": low_mem_load,
+                "merge_loras": merge_loras,
             }
             
             # Add to list and collect active loras

py/recipes/parsers/civitai_image.py

@@ -101,6 +101,11 @@ class CivitaiApiMetadataParser(RecipeMetadataParser):
                     if resource.get("type", "lora") == "lora":
                         lora_hash = resource.get("hash", "")
                         
+                        # Skip LoRAs without proper identification (hash or modelVersionId)
+                        if not lora_hash and not resource.get("modelVersionId"):
+                            logger.debug(f"Skipping LoRA resource '{resource.get('name', 'Unknown')}' - no hash or modelVersionId")
+                            continue
+                        
                         # Skip if we've already added this LoRA by hash
                         if lora_hash and lora_hash in added_loras:
                             continue
@@ -153,10 +158,6 @@ class CivitaiApiMetadataParser(RecipeMetadataParser):
             # Process civitaiResources array
             if "civitaiResources" in metadata and isinstance(metadata["civitaiResources"], list):
                 for resource in metadata["civitaiResources"]:
-                    # Skip resources that aren't LoRAs or LyCORIS
-                    if resource.get("type") not in ["lora", "lycoris"] and "type" not in resource:
-                        continue
-                        
                     # Get unique identifier for deduplication
                     version_id = str(resource.get("modelVersionId", ""))
                     
@@ -275,6 +276,66 @@ class CivitaiApiMetadataParser(RecipeMetadataParser):
                     
                         result["loras"].append(lora_entry)
             
+            # Check for LoRA info in the format "Lora_0 Model hash", "Lora_0 Model name", etc.
+            lora_index = 0
+            while f"Lora_{lora_index} Model hash" in metadata and f"Lora_{lora_index} Model name" in metadata:
+                lora_hash = metadata[f"Lora_{lora_index} Model hash"]
+                lora_name = metadata[f"Lora_{lora_index} Model name"]
+                lora_strength_model = float(metadata.get(f"Lora_{lora_index} Strength model", 1.0))
+                
+                # Skip if we've already added this LoRA by hash
+                if lora_hash and lora_hash in added_loras:
+                    lora_index += 1
+                    continue
+                
+                lora_entry = {
+                    'name': lora_name,
+                    'type': "lora",
+                    'weight': lora_strength_model,
+                    'hash': lora_hash,
+                    'existsLocally': False,
+                    'localPath': None,
+                    'file_name': lora_name,
+                    'thumbnailUrl': '/loras_static/images/no-preview.png',
+                    'baseModel': '',
+                    'size': 0,
+                    'downloadUrl': '',
+                    'isDeleted': False
+                }
+                
+                # Try to get info from Civitai if hash is available
+                if lora_entry['hash'] and civitai_client:
+                    try:
+                        civitai_info = await civitai_client.get_model_by_hash(lora_hash)
+                        
+                        populated_entry = await self.populate_lora_from_civitai(
+                            lora_entry,
+                            civitai_info,
+                            recipe_scanner,
+                            base_model_counts,
+                            lora_hash
+                        )
+                        
+                        if populated_entry is None:
+                            lora_index += 1
+                            continue  # Skip invalid LoRA types
+                            
+                        lora_entry = populated_entry
+                        
+                        # If we have a version ID from Civitai, track it for deduplication
+                        if 'id' in lora_entry and lora_entry['id']:
+                            added_loras[str(lora_entry['id'])] = len(result["loras"])
+                    except Exception as e:
+                        logger.error(f"Error fetching Civitai info for LoRA hash {lora_entry['hash']}: {e}")
+                
+                # Track by hash if we have it
+                if lora_hash:
+                    added_loras[lora_hash] = len(result["loras"])
+                    
+                result["loras"].append(lora_entry)
+                
+                lora_index += 1
+            
             # If base model wasn't found earlier, use the most common one from LoRAs
             if not result["base_model"] and base_model_counts:
                 result["base_model"] = max(base_model_counts.items(), key=lambda x: x[1])[0]

py/routes/base_model_routes.py

@@ -1,5 +1,6 @@
 from abc import ABC, abstractmethod
 import asyncio
+import os
 import json
 import logging
 from aiohttp import web
@@ -10,6 +11,8 @@ import jinja2
 from ..utils.routes_common import ModelRouteUtils
 from ..services.websocket_manager import ws_manager
 from ..services.settings_manager import settings
+from ..utils.utils import calculate_relative_path_for_model
+from ..utils.constants import AUTO_ORGANIZE_BATCH_SIZE
 from ..config import config
 
 logger = logging.getLogger(__name__)
@@ -38,7 +41,7 @@ class BaseModelRoutes(ABC):
             prefix: URL prefix (e.g., 'loras', 'checkpoints')
         """
         # Common model management routes
-        app.router.add_get(f'/api/{prefix}', self.get_models)
+        app.router.add_get(f'/api/{prefix}/list', self.get_models)
         app.router.add_post(f'/api/{prefix}/delete', self.delete_model)
         app.router.add_post(f'/api/{prefix}/exclude', self.exclude_model)
         app.router.add_post(f'/api/{prefix}/fetch-civitai', self.fetch_civitai)
@@ -48,6 +51,10 @@ class BaseModelRoutes(ABC):
         app.router.add_post(f'/api/{prefix}/rename', self.rename_model)
         app.router.add_post(f'/api/{prefix}/bulk-delete', self.bulk_delete_models)
         app.router.add_post(f'/api/{prefix}/verify-duplicates', self.verify_duplicates)
+        app.router.add_post(f'/api/{prefix}/move_model', self.move_model)
+        app.router.add_post(f'/api/{prefix}/move_models_bulk', self.move_models_bulk)
+        app.router.add_get(f'/api/{prefix}/auto-organize', self.auto_organize_models)
+        app.router.add_get(f'/api/{prefix}/auto-organize-progress', self.get_auto_organize_progress)
         
         # Common query routes
         app.router.add_get(f'/api/{prefix}/top-tags', self.get_top_tags)
@@ -55,8 +62,16 @@ class BaseModelRoutes(ABC):
         app.router.add_get(f'/api/{prefix}/scan', self.scan_models)
         app.router.add_get(f'/api/{prefix}/roots', self.get_model_roots)
         app.router.add_get(f'/api/{prefix}/folders', self.get_folders)
+        app.router.add_get(f'/api/{prefix}/folder-tree', self.get_folder_tree)
+        app.router.add_get(f'/api/{prefix}/unified-folder-tree', self.get_unified_folder_tree)
         app.router.add_get(f'/api/{prefix}/find-duplicates', self.find_duplicate_models)
         app.router.add_get(f'/api/{prefix}/find-filename-conflicts', self.find_filename_conflicts)
+        app.router.add_get(f'/api/{prefix}/get-notes', self.get_model_notes)
+        app.router.add_get(f'/api/{prefix}/preview-url', self.get_model_preview_url)
+        app.router.add_get(f'/api/{prefix}/civitai-url', self.get_model_civitai_url)
+        
+        # Autocomplete route
+        app.router.add_get(f'/api/{prefix}/relative-paths', self.get_relative_paths)
 
         # Common Download management
         app.router.add_post(f'/api/download-model', self.download_model)
@@ -175,6 +190,7 @@ class BaseModelRoutes(ABC):
             'filename': request.query.get('search_filename', 'true').lower() == 'true',
             'modelname': request.query.get('search_modelname', 'true').lower() == 'true',
             'tags': request.query.get('search_tags', 'false').lower() == 'true',
+            'creator': request.query.get('search_creator', 'false').lower() == 'true',
             'recursive': request.query.get('recursive', 'false').lower() == 'true',
         }
         
@@ -343,6 +359,43 @@ class BaseModelRoutes(ABC):
                 'error': str(e)
             }, status=500)
     
+    async def get_folder_tree(self, request: web.Request) -> web.Response:
+        """Get hierarchical folder tree structure for download modal"""
+        try:
+            model_root = request.query.get('model_root')
+            if not model_root:
+                return web.json_response({
+                    'success': False,
+                    'error': 'model_root parameter is required'
+                }, status=400)
+            
+            folder_tree = await self.service.get_folder_tree(model_root)
+            return web.json_response({
+                'success': True,
+                'tree': folder_tree
+            })
+        except Exception as e:
+            logger.error(f"Error getting folder tree: {e}")
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
+    async def get_unified_folder_tree(self, request: web.Request) -> web.Response:
+        """Get unified folder tree across all model roots"""
+        try:
+            unified_tree = await self.service.get_unified_folder_tree()
+            return web.json_response({
+                'success': True,
+                'tree': unified_tree
+            })
+        except Exception as e:
+            logger.error(f"Error getting unified folder tree: {e}")
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
     async def find_duplicate_models(self, request: web.Request) -> web.Response:
         """Find models with duplicate SHA256 hashes"""
         try:
@@ -616,4 +669,481 @@ class BaseModelRoutes(ABC):
         # This will be implemented by subclasses as they need CivitAI client access
         return web.json_response({
             "error": "Not implemented in base class"
-        }, status=501)
+        }, status=501)
+    
+    # Common model move handlers
+    async def move_model(self, request: web.Request) -> web.Response:
+        """Handle model move request"""
+        try:
+            data = await request.json()
+            file_path = data.get('file_path')
+            target_path = data.get('target_path')
+            if not file_path or not target_path:
+                return web.Response(text='File path and target path are required', status=400)
+            import os
+            source_dir = os.path.dirname(file_path)
+            if os.path.normpath(source_dir) == os.path.normpath(target_path):
+                logger.info(f"Source and target directories are the same: {source_dir}")
+                return web.json_response({'success': True, 'message': 'Source and target directories are the same'})
+            file_name = os.path.basename(file_path)
+            target_file_path = os.path.join(target_path, file_name).replace(os.sep, '/')
+            if os.path.exists(target_file_path):
+                return web.json_response({
+                    'success': False, 
+                    'error': f"Target file already exists: {target_file_path}"
+                }, status=409)
+            success = await self.service.scanner.move_model(file_path, target_path)
+            if success:
+                return web.json_response({'success': True, 'new_file_path': target_file_path})
+            else:
+                return web.Response(text='Failed to move model', status=500)
+        except Exception as e:
+            logger.error(f"Error moving model: {e}", exc_info=True)
+            return web.Response(text=str(e), status=500)
+
+    async def move_models_bulk(self, request: web.Request) -> web.Response:
+        """Handle bulk model move request"""
+        try:
+            data = await request.json()
+            file_paths = data.get('file_paths', [])
+            target_path = data.get('target_path')
+            if not file_paths or not target_path:
+                return web.Response(text='File paths and target path are required', status=400)
+            results = []
+            import os
+            for file_path in file_paths:
+                source_dir = os.path.dirname(file_path)
+                if os.path.normpath(source_dir) == os.path.normpath(target_path):
+                    results.append({
+                        "path": file_path, 
+                        "success": True, 
+                        "message": "Source and target directories are the same"
+                    })
+                    continue
+                file_name = os.path.basename(file_path)
+                target_file_path = os.path.join(target_path, file_name).replace(os.sep, '/')
+                if os.path.exists(target_file_path):
+                    results.append({
+                        "path": file_path, 
+                        "success": False, 
+                        "message": f"Target file already exists: {target_file_path}"
+                    })
+                    continue
+                success = await self.service.scanner.move_model(file_path, target_path)
+                results.append({
+                    "path": file_path, 
+                    "success": success,
+                    "message": "Success" if success else "Failed to move model"
+                })
+            success_count = sum(1 for r in results if r["success"])
+            failure_count = len(results) - success_count
+            return web.json_response({
+                'success': True,
+                'message': f'Moved {success_count} of {len(file_paths)} models',
+                'results': results,
+                'success_count': success_count,
+                'failure_count': failure_count
+            })
+        except Exception as e:
+            logger.error(f"Error moving models in bulk: {e}", exc_info=True)
+            return web.Response(text=str(e), status=500)
+    
+    async def auto_organize_models(self, request: web.Request) -> web.Response:
+        """Auto-organize all models based on current settings"""
+        try:
+            # Check if auto-organize is already running
+            if ws_manager.is_auto_organize_running():
+                return web.json_response({
+                    'success': False,
+                    'error': 'Auto-organize is already running. Please wait for it to complete.'
+                }, status=409)
+            
+            # Acquire lock to prevent concurrent auto-organize operations
+            auto_organize_lock = await ws_manager.get_auto_organize_lock()
+            
+            if auto_organize_lock.locked():
+                return web.json_response({
+                    'success': False,
+                    'error': 'Auto-organize is already running. Please wait for it to complete.'
+                }, status=409)
+            
+            async with auto_organize_lock:
+                return await self._perform_auto_organize()
+                
+        except Exception as e:
+            logger.error(f"Error in auto_organize_models: {e}", exc_info=True)
+            
+            # Send error message via WebSocket and cleanup
+            await ws_manager.broadcast_auto_organize_progress({
+                'type': 'auto_organize_progress',
+                'status': 'error',
+                'error': str(e)
+            })
+            
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
+    async def _perform_auto_organize(self) -> web.Response:
+        """Perform the actual auto-organize operation"""
+        try:
+            # Get all models from cache
+            cache = await self.service.scanner.get_cached_data()
+            all_models = cache.raw_data
+            
+            # Get model roots for this scanner
+            model_roots = self.service.get_model_roots()
+            if not model_roots:
+                await ws_manager.broadcast_auto_organize_progress({
+                    'type': 'auto_organize_progress',
+                    'status': 'error',
+                    'error': 'No model roots configured'
+                })
+                return web.json_response({
+                    'success': False,
+                    'error': 'No model roots configured'
+                }, status=400)
+            
+            # Check if flat structure is configured for this model type
+            path_template = settings.get_download_path_template(self.service.model_type)
+            is_flat_structure = not path_template
+            
+            # Prepare results tracking
+            results = []
+            total_models = len(all_models)
+            processed = 0
+            success_count = 0
+            failure_count = 0
+            skipped_count = 0
+            
+            # Send initial progress via WebSocket
+            await ws_manager.broadcast_auto_organize_progress({
+                'type': 'auto_organize_progress',
+                'status': 'started',
+                'total': total_models,
+                'processed': 0,
+                'success': 0,
+                'failures': 0,
+                'skipped': 0
+            })
+            
+            # Process models in batches
+            for i in range(0, total_models, AUTO_ORGANIZE_BATCH_SIZE):
+                batch = all_models[i:i + AUTO_ORGANIZE_BATCH_SIZE]
+                
+                for model in batch:
+                    try:
+                        file_path = model.get('file_path')
+                        if not file_path:
+                            if len(results) < 100:  # Limit detailed results
+                                results.append({
+                                    "model": model.get('model_name', 'Unknown'),
+                                    "success": False,
+                                    "message": "No file path found"
+                                })
+                            failure_count += 1
+                            processed += 1
+                            continue
+                        
+                        # Find which model root this file belongs to
+                        current_root = None
+                        for root in model_roots:
+                            # Normalize paths for comparison
+                            normalized_root = os.path.normpath(root).replace(os.sep, '/')
+                            normalized_file = os.path.normpath(file_path).replace(os.sep, '/')
+                            
+                            if normalized_file.startswith(normalized_root):
+                                current_root = root
+                                break
+                        
+                        if not current_root:
+                            if len(results) < 100:  # Limit detailed results
+                                results.append({
+                                    "model": model.get('model_name', 'Unknown'),
+                                    "success": False,
+                                    "message": "Model file not found in any configured root directory"
+                                })
+                            failure_count += 1
+                            processed += 1
+                            continue
+                        
+                        # Handle flat structure case
+                        if is_flat_structure:
+                            current_dir = os.path.dirname(file_path)
+                            # Check if already in root directory
+                            if os.path.normpath(current_dir) == os.path.normpath(current_root):
+                                skipped_count += 1
+                                processed += 1
+                                continue
+                            
+                            # Move to root directory for flat structure
+                            target_dir = current_root
+                        else:
+                            # Calculate new relative path based on settings
+                            new_relative_path = calculate_relative_path_for_model(model, self.service.model_type)
+                            
+                            # If no relative path calculated (insufficient metadata), skip
+                            if not new_relative_path:
+                                if len(results) < 100:  # Limit detailed results
+                                    results.append({
+                                        "model": model.get('model_name', 'Unknown'),
+                                        "success": False,
+                                        "message": "Skipped - insufficient metadata for organization"
+                                    })
+                                skipped_count += 1
+                                processed += 1
+                                continue
+                            
+                            # Calculate target directory
+                            target_dir = os.path.join(current_root, new_relative_path).replace(os.sep, '/')
+                        
+                        current_dir = os.path.dirname(file_path)
+                        
+                        # Skip if already in correct location
+                        if current_dir.replace(os.sep, '/') == target_dir.replace(os.sep, '/'):
+                            skipped_count += 1
+                            processed += 1
+                            continue
+                        
+                        # Check if target file would conflict
+                        file_name = os.path.basename(file_path)
+                        target_file_path = os.path.join(target_dir, file_name)
+                        
+                        if os.path.exists(target_file_path):
+                            if len(results) < 100:  # Limit detailed results
+                                results.append({
+                                    "model": model.get('model_name', 'Unknown'),
+                                    "success": False,
+                                    "message": f"Target file already exists: {target_file_path}"
+                                })
+                            failure_count += 1
+                            processed += 1
+                            continue
+                        
+                        # Perform the move
+                        success = await self.service.scanner.move_model(file_path, target_dir)
+                        
+                        if success:
+                            success_count += 1
+                        else:
+                            if len(results) < 100:  # Limit detailed results
+                                results.append({
+                                    "model": model.get('model_name', 'Unknown'),
+                                    "success": False,
+                                    "message": "Failed to move model"
+                                })
+                            failure_count += 1
+                        
+                        processed += 1
+                        
+                    except Exception as e:
+                        logger.error(f"Error processing model {model.get('model_name', 'Unknown')}: {e}", exc_info=True)
+                        if len(results) < 100:  # Limit detailed results
+                            results.append({
+                                "model": model.get('model_name', 'Unknown'),
+                                "success": False,
+                                "message": f"Error: {str(e)}"
+                            })
+                        failure_count += 1
+                        processed += 1
+                
+                # Send progress update after each batch
+                await ws_manager.broadcast_auto_organize_progress({
+                    'type': 'auto_organize_progress',
+                    'status': 'processing',
+                    'total': total_models,
+                    'processed': processed,
+                    'success': success_count,
+                    'failures': failure_count,
+                    'skipped': skipped_count
+                })
+                
+                # Small delay between batches to prevent overwhelming the system
+                await asyncio.sleep(0.1)
+            
+            # Send completion message
+            await ws_manager.broadcast_auto_organize_progress({
+                'type': 'auto_organize_progress',
+                'status': 'cleaning',
+                'total': total_models,
+                'processed': processed,
+                'success': success_count,
+                'failures': failure_count,
+                'skipped': skipped_count,
+                'message': 'Cleaning up empty directories...'
+            })
+            
+            # Clean up empty directories after organizing
+            from ..utils.utils import remove_empty_dirs
+            cleanup_counts = {}
+            for root in model_roots:
+                removed = remove_empty_dirs(root)
+                cleanup_counts[root] = removed
+                
+            # Send cleanup completed message
+            await ws_manager.broadcast_auto_organize_progress({
+                'type': 'auto_organize_progress',
+                'status': 'completed',
+                'total': total_models,
+                'processed': processed,
+                'success': success_count,
+                'failures': failure_count,
+                'skipped': skipped_count,
+                'cleanup': cleanup_counts
+            })
+            
+            # Prepare response with limited details
+            response_data = {
+                'success': True,
+                'message': f'Auto-organize completed: {success_count} moved, {skipped_count} skipped, {failure_count} failed out of {total_models} total',
+                'summary': {
+                    'total': total_models,
+                    'success': success_count,
+                    'skipped': skipped_count,
+                    'failures': failure_count,
+                    'organization_type': 'flat' if is_flat_structure else 'structured',
+                    'cleaned_dirs': cleanup_counts
+                }
+            }
+            
+            # Only include detailed results if under limit
+            if len(results) <= 100:
+                response_data['results'] = results
+            else:
+                response_data['results_truncated'] = True
+                response_data['sample_results'] = results[:50]  # Show first 50 as sample
+            
+            return web.json_response(response_data)
+            
+        except Exception as e:
+            logger.error(f"Error in _perform_auto_organize: {e}", exc_info=True)
+            
+            # Send error message via WebSocket
+            await ws_manager.broadcast_auto_organize_progress({
+                'type': 'auto_organize_progress',
+                'status': 'error',
+                'error': str(e)
+            })
+            
+            raise e
+    
+    async def get_auto_organize_progress(self, request: web.Request) -> web.Response:
+        """Get current auto-organize progress for polling"""
+        try:
+            progress_data = ws_manager.get_auto_organize_progress()
+            
+            if progress_data is None:
+                return web.json_response({
+                    'success': False,
+                    'error': 'No auto-organize operation in progress'
+                }, status=404)
+            
+            return web.json_response({
+                'success': True,
+                'progress': progress_data
+            })
+        except Exception as e:
+            logger.error(f"Error getting auto-organize progress: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
+    async def get_model_notes(self, request: web.Request) -> web.Response:
+        """Get notes for a specific model file"""
+        try:
+            model_name = request.query.get('name')
+            if not model_name:
+                return web.Response(text=f'{self.model_type.capitalize()} file name is required', status=400)
+            
+            notes = await self.service.get_model_notes(model_name)
+            if notes is not None:
+                return web.json_response({
+                    'success': True,
+                    'notes': notes
+                })
+            else:
+                return web.json_response({
+                    'success': False,
+                    'error': f'{self.model_type.capitalize()} not found in cache'
+                }, status=404)
+                
+        except Exception as e:
+            logger.error(f"Error getting {self.model_type} notes: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
+    async def get_model_preview_url(self, request: web.Request) -> web.Response:
+        """Get the static preview URL for a model file"""
+        try:
+            model_name = request.query.get('name')
+            if not model_name:
+                return web.Response(text=f'{self.model_type.capitalize()} file name is required', status=400)
+            
+            preview_url = await self.service.get_model_preview_url(model_name)
+            if preview_url:
+                return web.json_response({
+                    'success': True,
+                    'preview_url': preview_url
+                })
+            else:
+                return web.json_response({
+                    'success': False,
+                    'error': f'No preview URL found for the specified {self.model_type}'
+                }, status=404)
+                
+        except Exception as e:
+            logger.error(f"Error getting {self.model_type} preview URL: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
+    async def get_model_civitai_url(self, request: web.Request) -> web.Response:
+        """Get the Civitai URL for a model file"""
+        try:
+            model_name = request.query.get('name')
+            if not model_name:
+                return web.Response(text=f'{self.model_type.capitalize()} file name is required', status=400)
+            
+            result = await self.service.get_model_civitai_url(model_name)
+            if result['civitai_url']:
+                return web.json_response({
+                    'success': True,
+                    **result
+                })
+            else:
+                return web.json_response({
+                    'success': False,
+                    'error': f'No Civitai data found for the specified {self.model_type}'
+                }, status=404)
+                
+        except Exception as e:
+            logger.error(f"Error getting {self.model_type} Civitai URL: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
+    async def get_relative_paths(self, request: web.Request) -> web.Response:
+        """Get model relative file paths for autocomplete functionality"""
+        try:
+            search = request.query.get('search', '').strip()
+            limit = min(int(request.query.get('limit', '15')), 50)  # Max 50 items
+            
+            matching_paths = await self.service.search_relative_paths(search, limit)
+            
+            return web.json_response({
+                'success': True,
+                'relative_paths': matching_paths
+            })
+            
+        except Exception as e:
+            logger.error(f"Error getting relative paths for autocomplete: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)

py/routes/checkpoint_routes.py

@@ -4,6 +4,7 @@ from aiohttp import web
 from .base_model_routes import BaseModelRoutes
 from ..services.checkpoint_service import CheckpointService
 from ..services.service_registry import ServiceRegistry
+from ..config import config
 
 logger = logging.getLogger(__name__)
 
@@ -41,6 +42,10 @@ class CheckpointRoutes(BaseModelRoutes):
         
         # Checkpoint info by name
         app.router.add_get(f'/api/{prefix}/info/{{name}}', self.get_checkpoint_info)
+        
+        # Checkpoint roots and Unet roots
+        app.router.add_get(f'/api/{prefix}/checkpoints_roots', self.get_checkpoints_roots)
+        app.router.add_get(f'/api/{prefix}/unet_roots', self.get_unet_roots)
     
     async def get_checkpoint_info(self, request: web.Request) -> web.Response:
         """Get detailed information for a specific checkpoint by name"""
@@ -102,4 +107,34 @@ class CheckpointRoutes(BaseModelRoutes):
             return web.json_response(versions)
         except Exception as e:
             logger.error(f"Error fetching checkpoint model versions: {e}")
-            return web.Response(status=500, text=str(e))
+            return web.Response(status=500, text=str(e))
+    
+    async def get_checkpoints_roots(self, request: web.Request) -> web.Response:
+        """Return the list of checkpoint roots from config"""
+        try:
+            roots = config.checkpoints_roots
+            return web.json_response({
+                "success": True,
+                "roots": roots
+            })
+        except Exception as e:
+            logger.error(f"Error getting checkpoint roots: {e}", exc_info=True)
+            return web.json_response({
+                "success": False,
+                "error": str(e)
+            }, status=500)
+
+    async def get_unet_roots(self, request: web.Request) -> web.Response:
+        """Return the list of unet roots from config"""
+        try:
+            roots = config.unet_roots
+            return web.json_response({
+                "success": True,
+                "roots": roots
+            })
+        except Exception as e:
+            logger.error(f"Error getting unet roots: {e}", exc_info=True)
+            return web.json_response({
+                "success": False,
+                "error": str(e)
+            }, status=500)

py/routes/example_images_routes.py

@@ -2,6 +2,7 @@ import logging
 from ..utils.example_images_download_manager import DownloadManager
 from ..utils.example_images_processor import ExampleImagesProcessor
 from ..utils.example_images_file_manager import ExampleImagesFileManager
+from ..services.websocket_manager import ws_manager
 
 logger = logging.getLogger(__name__)
 
@@ -20,6 +21,7 @@ class ExampleImagesRoutes:
         app.router.add_get('/api/example-image-files', ExampleImagesRoutes.get_example_image_files)
         app.router.add_get('/api/has-example-images', ExampleImagesRoutes.has_example_images)
         app.router.add_post('/api/delete-example-image', ExampleImagesRoutes.delete_example_image)
+        app.router.add_post('/api/force-download-example-images', ExampleImagesRoutes.force_download_example_images)
 
     @staticmethod
     async def download_example_images(request):
@@ -64,4 +66,9 @@ class ExampleImagesRoutes:
     @staticmethod
     async def delete_example_image(request):
         """Delete a custom example image for a model"""
-        return await ExampleImagesProcessor.delete_custom_image(request)
+        return await ExampleImagesProcessor.delete_custom_image(request)
+
+    @staticmethod
+    async def force_download_example_images(request):
+        """Force download example images for specific models"""
+        return await DownloadManager.start_force_download(request)

py/routes/lora_routes.py

@@ -43,15 +43,9 @@ class LoraRoutes(BaseModelRoutes):
         """Setup LoRA-specific routes"""
         # LoRA-specific query routes
         app.router.add_get(f'/api/{prefix}/letter-counts', self.get_letter_counts)
-        app.router.add_get(f'/api/{prefix}/get-notes', self.get_lora_notes)
         app.router.add_get(f'/api/{prefix}/get-trigger-words', self.get_lora_trigger_words)
-        app.router.add_get(f'/api/{prefix}/preview-url', self.get_lora_preview_url)
-        app.router.add_get(f'/api/{prefix}/civitai-url', self.get_lora_civitai_url)
         app.router.add_get(f'/api/{prefix}/model-description', self.get_lora_model_description)
-        
-        # LoRA-specific management routes
-        app.router.add_post(f'/api/{prefix}/move_model', self.move_model)
-        app.router.add_post(f'/api/{prefix}/move_models_bulk', self.move_models_bulk)
+        app.router.add_get(f'/api/{prefix}/usage-tips-by-path', self.get_lora_usage_tips_by_path)
         
         # CivitAI integration with LoRA-specific validation
         app.router.add_get(f'/api/{prefix}/civitai/versions/{{model_id}}', self.get_civitai_versions_lora)
@@ -147,6 +141,26 @@ class LoraRoutes(BaseModelRoutes):
                 'error': str(e)
             }, status=500)
     
+    async def get_lora_usage_tips_by_path(self, request: web.Request) -> web.Response:
+        """Get usage tips for a LoRA by its relative path"""
+        try:
+            relative_path = request.query.get('relative_path')
+            if not relative_path:
+                return web.Response(text='Relative path is required', status=400)
+            
+            usage_tips = await self.service.get_lora_usage_tips_by_relative_path(relative_path)
+            return web.json_response({
+                'success': True,
+                'usage_tips': usage_tips or ''
+            })
+            
+        except Exception as e:
+            logger.error(f"Error getting lora usage tips by path: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
     async def get_lora_preview_url(self, request: web.Request) -> web.Response:
         """Get the static preview URL for a LoRA file"""
         try:
@@ -284,105 +298,6 @@ class LoraRoutes(BaseModelRoutes):
                 "error": str(e)
             }, status=500)
     
-    # Model management methods
-    async def move_model(self, request: web.Request) -> web.Response:
-        """Handle model move request"""
-        try:
-            data = await request.json()
-            file_path = data.get('file_path')  # full path of the model file
-            target_path = data.get('target_path')  # folder path to move the model to
-            
-            if not file_path or not target_path:
-                return web.Response(text='File path and target path are required', status=400)
-
-            # Check if source and destination are the same
-            import os
-            source_dir = os.path.dirname(file_path)
-            if os.path.normpath(source_dir) == os.path.normpath(target_path):
-                logger.info(f"Source and target directories are the same: {source_dir}")
-                return web.json_response({'success': True, 'message': 'Source and target directories are the same'})
-
-            # Check if target file already exists
-            file_name = os.path.basename(file_path)
-            target_file_path = os.path.join(target_path, file_name).replace(os.sep, '/')
-            
-            if os.path.exists(target_file_path):
-                return web.json_response({
-                    'success': False, 
-                    'error': f"Target file already exists: {target_file_path}"
-                }, status=409)  # 409 Conflict
-
-            # Call scanner to handle the move operation
-            success = await self.service.scanner.move_model(file_path, target_path)
-            
-            if success:
-                return web.json_response({'success': True, 'new_file_path': target_file_path})
-            else:
-                return web.Response(text='Failed to move model', status=500)
-                
-        except Exception as e:
-            logger.error(f"Error moving model: {e}", exc_info=True)
-            return web.Response(text=str(e), status=500)
-    
-    async def move_models_bulk(self, request: web.Request) -> web.Response:
-        """Handle bulk model move request"""
-        try:
-            data = await request.json()
-            file_paths = data.get('file_paths', [])  # list of full paths of the model files
-            target_path = data.get('target_path')  # folder path to move the models to
-            
-            if not file_paths or not target_path:
-                return web.Response(text='File paths and target path are required', status=400)
-
-            results = []
-            import os
-            for file_path in file_paths:
-                # Check if source and destination are the same
-                source_dir = os.path.dirname(file_path)
-                if os.path.normpath(source_dir) == os.path.normpath(target_path):
-                    results.append({
-                        "path": file_path, 
-                        "success": True, 
-                        "message": "Source and target directories are the same"
-                    })
-                    continue
-                
-                # Check if target file already exists
-                file_name = os.path.basename(file_path)
-                target_file_path = os.path.join(target_path, file_name).replace(os.sep, '/')
-                
-                if os.path.exists(target_file_path):
-                    results.append({
-                        "path": file_path, 
-                        "success": False, 
-                        "message": f"Target file already exists: {target_file_path}"
-                    })
-                    continue
-                
-                # Try to move the model
-                success = await self.service.scanner.move_model(file_path, target_path)
-                results.append({
-                    "path": file_path, 
-                    "success": success,
-                    "message": "Success" if success else "Failed to move model"
-                })
-            
-            # Count successes and failures
-            success_count = sum(1 for r in results if r["success"])
-            failure_count = len(results) - success_count
-            
-            return web.json_response({
-                'success': True,
-                'message': f'Moved {success_count} of {len(file_paths)} models',
-                'results': results,
-                'success_count': success_count,
-                'failure_count': failure_count
-            })
-                
-        except Exception as e:
-            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:

py/routes/misc_routes.py

@@ -1,4 +1,3 @@
-import json
 import logging
 import os
 import sys
@@ -183,16 +182,6 @@ class MiscRoutes:
                     if old_path != value:
                         logger.info(f"Example images path changed to {value} - server restart required")
                 
-                # Special handling for base_model_path_mappings - parse JSON string
-                if key == 'base_model_path_mappings' and value:
-                    try:
-                        value = json.loads(value)
-                    except json.JSONDecodeError:
-                        return web.json_response({
-                            'success': False,
-                            'error': f"Invalid JSON format for base_model_path_mappings: {value}"
-                        })
-                
                 # Save to settings
                 settings.set(key, value)
             
@@ -654,13 +643,13 @@ class MiscRoutes:
                 exists = False
                 model_type = None
 
-                if await lora_scanner.check_model_version_exists(model_id, model_version_id):
+                if await lora_scanner.check_model_version_exists(model_version_id):
                     exists = True
                     model_type = 'lora'
-                elif checkpoint_scanner and await checkpoint_scanner.check_model_version_exists(model_id, model_version_id):
+                elif checkpoint_scanner and await checkpoint_scanner.check_model_version_exists(model_version_id):
                     exists = True
                     model_type = 'checkpoint'
-                elif embedding_scanner and await embedding_scanner.check_model_version_exists(model_id, model_version_id):
+                elif embedding_scanner and await embedding_scanner.check_model_version_exists(model_version_id):
                     exists = True
                     model_type = 'embedding'
                 

py/routes/recipe_routes.py

@@ -22,7 +22,6 @@ from ..config import config
 # Check if running in standalone mode
 standalone_mode = 'nodes' not in sys.modules
 
-from ..utils.utils import download_civitai_image
 from ..services.service_registry import ServiceRegistry  # Add ServiceRegistry import
 
 # Only import MetadataRegistry in non-standalone mode
@@ -376,16 +375,6 @@ class RecipeRoutes:
                     # Use meta field from image_info as metadata
                     if 'meta' in image_info:
                         metadata = image_info['meta']
-                    
-                else:
-                    # Not a Civitai image URL, use the original download method
-                    temp_path = download_civitai_image(url)
-                    
-                    if not temp_path:
-                        return web.json_response({
-                            "error": "Failed to download image from URL",
-                            "loras": []
-                        }, status=400)
             
             # If metadata wasn't obtained from Civitai API, extract it from the image
             if metadata is None:
@@ -638,21 +627,6 @@ class RecipeRoutes:
                         image = base64.b64decode(image_base64)
                     except Exception as e:
                         return web.json_response({"error": f"Invalid base64 image data: {str(e)}"}, status=400)
-                elif image_url:
-                    # Download image from URL
-                    temp_path = download_civitai_image(image_url)
-                    if not temp_path:
-                        return web.json_response({"error": "Failed to download image from URL"}, status=400)
-                    
-                    # Read the downloaded image
-                    with open(temp_path, 'rb') as f:
-                        image = f.read()
-                    
-                    # Clean up temp file
-                    try:
-                        os.unlink(temp_path)
-                    except:
-                        pass
                 else:
                     return web.json_response({"error": "No image data provided"}, status=400)
             

py/routes/update_routes.py

@@ -1,5 +1,4 @@
 import os
-import subprocess
 import aiohttp
 import logging
 import toml
@@ -7,7 +6,6 @@ import git
 import zipfile
 import shutil
 import tempfile
-from datetime import datetime
 from aiohttp import web
 from typing import Dict, List
 
@@ -157,7 +155,7 @@ class UpdateRoutes:
     async def _download_and_replace_zip(plugin_root: str) -> tuple[bool, str]:
         """
         Download latest release ZIP from GitHub and replace plugin files.
-        Skips settings.json.
+        Skips settings.json. Writes extracted file list to .tracking.
         """
         repo_owner = "willmiao"
         repo_name = "ComfyUI-Lora-Manager"
@@ -196,7 +194,6 @@ class UpdateRoutes:
                         src = os.path.join(extracted_root, item)
                         dst = os.path.join(plugin_root, item)
                         if os.path.isdir(src):
-                            # Remove old folder, then copy
                             if os.path.exists(dst):
                                 shutil.rmtree(dst)
                             shutil.copytree(src, dst, ignore=shutil.ignore_patterns('settings.json'))
@@ -205,6 +202,17 @@ class UpdateRoutes:
                                 continue
                             shutil.copy2(src, dst)
 
+                    # Write .tracking file: list all files under extracted_root, relative to extracted_root
+                    # for ComfyUI Manager to work properly
+                    tracking_info_file = os.path.join(plugin_root, '.tracking')
+                    tracking_files = []
+                    for root, dirs, files in os.walk(extracted_root):
+                        for file in files:
+                            rel_path = os.path.relpath(os.path.join(root, file), extracted_root)
+                            tracking_files.append(rel_path.replace("\\", "/"))
+                    with open(tracking_info_file, "w", encoding='utf-8') as file:
+                        file.write('\n'.join(tracking_files))
+
                 os.remove(zip_path)
                 logger.info(f"Updated plugin via ZIP to {version}")
                 return True, version
@@ -364,65 +372,28 @@ class UpdateRoutes:
         """Get Git repository information"""
         current_dir = os.path.dirname(os.path.abspath(__file__))
         plugin_root = os.path.dirname(os.path.dirname(current_dir))
-        
+
         git_info = {
             'commit_hash': 'unknown',
             'short_hash': 'stable',
             'branch': 'unknown',
             'commit_date': 'unknown'
         }
-        
+
         try:
             # Check if we're in a git repository
             if not os.path.exists(os.path.join(plugin_root, '.git')):
                 return git_info
-                
-            # Get current commit hash
-            result = subprocess.run(
-                ['git', 'rev-parse', 'HEAD'],
-                cwd=plugin_root,
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE,
-                text=True,
-                check=False
-            )
-            if result.returncode == 0:
-                git_info['commit_hash'] = result.stdout.strip()
-                git_info['short_hash'] = git_info['commit_hash'][:7]
-            
-            # Get current branch name
-            result = subprocess.run(
-                ['git', 'rev-parse', '--abbrev-ref', 'HEAD'],
-                cwd=plugin_root,
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE,
-                text=True,
-                check=False
-            )
-            if result.returncode == 0:
-                git_info['branch'] = result.stdout.strip()
-            
-            # Get commit date
-            result = subprocess.run(
-                ['git', 'show', '-s', '--format=%ci', 'HEAD'],
-                cwd=plugin_root,
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE,
-                text=True,
-                check=False
-            )
-            if result.returncode == 0:
-                commit_date = result.stdout.strip()
-                # Format the date nicely if possible
-                try:
-                    date_obj = datetime.strptime(commit_date, '%Y-%m-%d %H:%M:%S %z')
-                    git_info['commit_date'] = date_obj.strftime('%Y-%m-%d')
-                except:
-                    git_info['commit_date'] = commit_date
-                    
+
+            repo = git.Repo(plugin_root)
+            commit = repo.head.commit
+            git_info['commit_hash'] = commit.hexsha
+            git_info['short_hash'] = commit.hexsha[:7]
+            git_info['branch'] = repo.active_branch.name if not repo.head.is_detached else 'detached'
+            git_info['commit_date'] = commit.committed_datetime.strftime('%Y-%m-%d')
         except Exception as e:
             logger.warning(f"Error getting git info: {e}")
-            
+
         return git_info
     
     @staticmethod

py/services/base_model_service.py

@@ -1,6 +1,7 @@
 from abc import ABC, abstractmethod
 from typing import Dict, List, Optional, Type
 import logging
+import os
 
 from ..utils.models import BaseModelMetadata
 from ..utils.constants import NSFW_LEVELS
@@ -199,6 +200,22 @@ class BaseModelService(ABC):
                        for tag in item['tags']):
                     search_results.append(item)
                     continue
+            
+            # Search by creator
+            civitai = item.get('civitai')
+            creator_username = ''
+            if civitai and isinstance(civitai, dict):
+                creator = civitai.get('creator')
+                if creator and isinstance(creator, dict):
+                    creator_username = creator.get('username', '')
+            if search_options.get('creator', False) and creator_username:
+                if fuzzy_search:
+                    if fuzzy_match(creator_username, search):
+                        search_results.append(item)
+                        continue
+                elif search.lower() in creator_username.lower():
+                    search_results.append(item)
+                    continue
         
         return search_results
     
@@ -256,4 +273,150 @@ class BaseModelService(ABC):
     
     def get_model_roots(self) -> List[str]:
         """Get model root directories"""
-        return self.scanner.get_model_roots()
+        return self.scanner.get_model_roots()
+    
+    async def get_folder_tree(self, model_root: str) -> Dict:
+        """Get hierarchical folder tree for a specific model root"""
+        cache = await self.scanner.get_cached_data()
+        
+        # Build tree structure from folders
+        tree = {}
+        
+        for folder in cache.folders:
+            # Check if this folder belongs to the specified model root
+            folder_belongs_to_root = False
+            for root in self.scanner.get_model_roots():
+                if root == model_root:
+                    folder_belongs_to_root = True
+                    break
+            
+            if not folder_belongs_to_root:
+                continue
+            
+            # Split folder path into components
+            parts = folder.split('/') if folder else []
+            current_level = tree
+            
+            for part in parts:
+                if part not in current_level:
+                    current_level[part] = {}
+                current_level = current_level[part]
+        
+        return tree
+    
+    async def get_unified_folder_tree(self) -> Dict:
+        """Get unified folder tree across all model roots"""
+        cache = await self.scanner.get_cached_data()
+        
+        # Build unified tree structure by analyzing all relative paths
+        unified_tree = {}
+        
+        # Get all model roots for path normalization
+        model_roots = self.scanner.get_model_roots()
+        
+        for folder in cache.folders:
+            if not folder:  # Skip empty folders
+                continue
+            
+            # Find which root this folder belongs to by checking the actual file paths
+            # This is a simplified approach - we'll use the folder as-is since it should already be relative
+            relative_path = folder
+            
+            # Split folder path into components
+            parts = relative_path.split('/')
+            current_level = unified_tree
+            
+            for part in parts:
+                if part not in current_level:
+                    current_level[part] = {}
+                current_level = current_level[part]
+        
+        return unified_tree
+
+    async def get_model_notes(self, model_name: str) -> Optional[str]:
+        """Get notes for a specific model file"""
+        cache = await self.scanner.get_cached_data()
+        
+        for model in cache.raw_data:
+            if model['file_name'] == model_name:
+                return model.get('notes', '')
+        
+        return None
+    
+    async def get_model_preview_url(self, model_name: str) -> Optional[str]:
+        """Get the static preview URL for a model file"""
+        cache = await self.scanner.get_cached_data()
+        
+        for model in cache.raw_data:
+            if model['file_name'] == model_name:
+                preview_url = model.get('preview_url')
+                if preview_url:
+                    from ..config import config
+                    return config.get_preview_static_url(preview_url)
+        
+        return None
+    
+    async def get_model_civitai_url(self, model_name: str) -> Dict[str, Optional[str]]:
+        """Get the Civitai URL for a model file"""
+        cache = await self.scanner.get_cached_data()
+        
+        for model in cache.raw_data:
+            if model['file_name'] == model_name:
+                civitai_data = model.get('civitai', {})
+                model_id = civitai_data.get('modelId')
+                version_id = civitai_data.get('id')
+                
+                if model_id:
+                    civitai_url = f"https://civitai.com/models/{model_id}"
+                    if version_id:
+                        civitai_url += f"?modelVersionId={version_id}"
+                    
+                    return {
+                        'civitai_url': civitai_url,
+                        'model_id': str(model_id),
+                        'version_id': str(version_id) if version_id else None
+                    }
+        
+        return {'civitai_url': None, 'model_id': None, 'version_id': None}
+
+    async def search_relative_paths(self, search_term: str, limit: int = 15) -> List[str]:
+        """Search model relative file paths for autocomplete functionality"""
+        cache = await self.scanner.get_cached_data()
+        
+        matching_paths = []
+        search_lower = search_term.lower()
+        
+        # Get model roots for path calculation
+        model_roots = self.scanner.get_model_roots()
+        
+        for model in cache.raw_data:
+            file_path = model.get('file_path', '')
+            if not file_path:
+                continue
+                
+            # Calculate relative path from model root
+            relative_path = None
+            for root in model_roots:
+                # Normalize paths for comparison
+                normalized_root = os.path.normpath(root).replace(os.sep, '/')
+                normalized_file = os.path.normpath(file_path).replace(os.sep, '/')
+                
+                if normalized_file.startswith(normalized_root):
+                    # Remove root and leading slash to get relative path
+                    relative_path = normalized_file[len(normalized_root):].lstrip('/')
+                    break
+            
+            if relative_path and search_lower in relative_path.lower():
+                matching_paths.append(relative_path)
+                
+                if len(matching_paths) >= limit * 2:  # Get more for better sorting
+                    break
+        
+        # Sort by relevance (exact matches first, then by length)
+        matching_paths.sort(key=lambda x: (
+            not x.lower().startswith(search_lower),  # Exact prefix matches first
+            len(x),  # Then by length (shorter first)
+            x.lower()  # Then alphabetically
+        ))
+        
+        return matching_paths[:limit]

py/services/checkpoint_scanner.py

@@ -13,7 +13,7 @@ class CheckpointScanner(ModelScanner):
     
     def __init__(self):
         # Define supported file extensions
-        file_extensions = {'.safetensors', '.ckpt', '.pt', '.pth', '.sft', '.gguf'}
+        file_extensions = {'.ckpt', '.pt', '.pt2', '.bin', '.pth', '.safetensors', '.pkl', '.sft', '.gguf'}
         super().__init__(
             model_type="checkpoint",
             model_class=CheckpointMetadata,
@@ -21,6 +21,14 @@ class CheckpointScanner(ModelScanner):
             hash_index=ModelHashIndex()
         )
 
+    def adjust_metadata(self, metadata, file_path, root_path):
+        if hasattr(metadata, "model_type"):
+            if root_path in config.checkpoints_roots:
+                metadata.model_type = "checkpoint"
+            elif root_path in config.unet_roots:
+                metadata.model_type = "diffusion_model"
+        return metadata
+
     def get_model_roots(self) -> List[str]:
         """Get checkpoint root directories"""
         return config.base_models_roots

py/services/civitai_client.py

@@ -33,8 +33,8 @@ class CivitaiClient:
         }
         self._session = None
         self._session_created_at = None
-        # Set default buffer size to 1MB for higher throughput
-        self.chunk_size = 1024 * 1024
+        # Adjust chunk size based on storage type - consider making this configurable
+        self.chunk_size = 4 * 1024 * 1024   # 4MB chunks for better HDD throughput
     
     @property
     async def session(self) -> aiohttp.ClientSession:
@@ -49,8 +49,8 @@ class CivitaiClient:
                 enable_cleanup_closed=True
             )
             trust_env = True  # Allow using system environment proxy settings
-            # Configure timeout parameters - increase read timeout for large files
-            timeout = aiohttp.ClientTimeout(total=None, connect=60, sock_read=120)
+            # Configure timeout parameters - increase read timeout for large files and remove sock_read timeout
+            timeout = aiohttp.ClientTimeout(total=None, connect=60, sock_read=None)
             self._session = aiohttp.ClientSession(
                 connector=connector, 
                 trust_env=trust_env,
@@ -102,7 +102,7 @@ class CivitaiClient:
         return headers
 
     async def _download_file(self, url: str, save_dir: str, default_filename: str, progress_callback=None) -> Tuple[bool, str]:
-        """Download file with content-disposition support and progress tracking
+        """Download file with resumable downloads and retry mechanism
 
         Args:
             url: Download URL
@@ -113,73 +113,190 @@ class CivitaiClient:
         Returns:
             Tuple[bool, str]: (success, save_path or error message)
         """
-        logger.debug(f"Resolving DNS for: {url}")
+        max_retries = 5
+        retry_count = 0
+        base_delay = 2.0  # Base delay for exponential backoff
+        
+        # Initial setup
         session = await self._ensure_fresh_session()
-        try:
-            headers = self._get_request_headers()
-            
-            # Add Range header to allow resumable downloads
-            headers['Accept-Encoding'] = 'identity'  # Disable compression for better chunked downloads
-            
-            logger.debug(f"Starting download from: {url}")
-            async with session.get(url, headers=headers, allow_redirects=True) as response:
-                if response.status != 200:
-                    # Handle 401 unauthorized responses
-                    if response.status == 401:
+        save_path = os.path.join(save_dir, default_filename)
+        part_path = save_path + '.part'
+        
+        # Get existing file size for resume
+        resume_offset = 0
+        if os.path.exists(part_path):
+            resume_offset = os.path.getsize(part_path)
+            logger.info(f"Resuming download from offset {resume_offset} bytes")
+        
+        total_size = 0
+        filename = default_filename
+        
+        while retry_count <= max_retries:
+            try:
+                headers = self._get_request_headers()
+                
+                # Add Range header for resume if we have partial data
+                if resume_offset > 0:
+                    headers['Range'] = f'bytes={resume_offset}-'
+                
+                # Add Range header to allow resumable downloads
+                headers['Accept-Encoding'] = 'identity'  # Disable compression for better chunked downloads
+                
+                logger.debug(f"Download attempt {retry_count + 1}/{max_retries + 1} from: {url}")
+                if resume_offset > 0:
+                    logger.debug(f"Requesting range from byte {resume_offset}")
+                
+                async with session.get(url, headers=headers, allow_redirects=True) as response:
+                    # Handle different response codes
+                    if response.status == 200:
+                        # Full content response
+                        if resume_offset > 0:
+                            # Server doesn't support ranges, restart from beginning
+                            logger.warning("Server doesn't support range requests, restarting download")
+                            resume_offset = 0
+                            if os.path.exists(part_path):
+                                os.remove(part_path)
+                    elif response.status == 206:
+                        # Partial content response (resume successful)
+                        content_range = response.headers.get('Content-Range')
+                        if content_range:
+                            # Parse total size from Content-Range header (e.g., "bytes 1024-2047/2048")
+                            range_parts = content_range.split('/')
+                            if len(range_parts) == 2:
+                                total_size = int(range_parts[1])
+                        logger.info(f"Successfully resumed download from byte {resume_offset}")
+                    elif response.status == 416:
+                        # Range not satisfiable - file might be complete or corrupted
+                        if os.path.exists(part_path):
+                            part_size = os.path.getsize(part_path)
+                            logger.warning(f"Range not satisfiable. Part file size: {part_size}")
+                            # Try to get actual file size
+                            head_response = await session.head(url, headers=self._get_request_headers())
+                            if head_response.status == 200:
+                                actual_size = int(head_response.headers.get('content-length', 0))
+                                if part_size == actual_size:
+                                    # File is complete, just rename it
+                                    os.rename(part_path, save_path)
+                                    if progress_callback:
+                                        await progress_callback(100)
+                                    return True, save_path
+                            # Remove corrupted part file and restart
+                            os.remove(part_path)
+                            resume_offset = 0
+                            continue
+                    elif response.status == 401:
                         logger.warning(f"Unauthorized access to resource: {url} (Status 401)")
-                        
                         return False, "Invalid or missing CivitAI API key, or early access restriction."
-                    
-                    # Handle other client errors that might be permission-related
-                    if response.status == 403:
+                    elif response.status == 403:
                         logger.warning(f"Forbidden access to resource: {url} (Status 403)")
                         return False, "Access forbidden: You don't have permission to download this file."
+                    else:
+                        logger.error(f"Download failed for {url} with status {response.status}")
+                        return False, f"Download failed with status {response.status}"
+
+                    # Get filename from content-disposition header (only on first attempt)
+                    if retry_count == 0:
+                        content_disposition = response.headers.get('Content-Disposition')
+                        parsed_filename = self._parse_content_disposition(content_disposition)
+                        if parsed_filename:
+                            filename = parsed_filename
+                            # Update paths with correct filename
+                            save_path = os.path.join(save_dir, filename)
+                            new_part_path = save_path + '.part'
+                            # Rename existing part file if filename changed
+                            if part_path != new_part_path and os.path.exists(part_path):
+                                os.rename(part_path, new_part_path)
+                            part_path = new_part_path
                     
-                    # Generic error response for other status codes
-                    logger.error(f"Download failed for {url} with status {response.status}")
-                    return False, f"Download failed with status {response.status}"
+                    # Get total file size for progress calculation (if not set from Content-Range)
+                    if total_size == 0:
+                        total_size = int(response.headers.get('content-length', 0))
+                        if response.status == 206:
+                            # For partial content, add the offset to get total file size
+                            total_size += resume_offset
 
-                # Get filename from content-disposition header
-                content_disposition = response.headers.get('Content-Disposition')
-                filename = self._parse_content_disposition(content_disposition)
-                if not filename:
-                    filename = default_filename
-                
-                save_path = os.path.join(save_dir, filename)
-                
-                # Get total file size for progress calculation
-                total_size = int(response.headers.get('content-length', 0))
-                current_size = 0
-                last_progress_report_time = datetime.now()
+                    current_size = resume_offset
+                    last_progress_report_time = datetime.now()
 
-                # Stream download to file with progress updates using larger buffer
-                with open(save_path, 'wb') as f:
-                    async for chunk in response.content.iter_chunked(self.chunk_size):
-                        if chunk:
-                            f.write(chunk)
-                            current_size += len(chunk)
-                            
-                            # Limit progress update frequency to reduce overhead
-                            now = datetime.now()
-                            time_diff = (now - last_progress_report_time).total_seconds()
-                            
-                            if progress_callback and total_size and time_diff >= 1.0:
-                                progress = (current_size / total_size) * 100
-                                await progress_callback(progress)
-                                last_progress_report_time = now
-                
-                # Ensure 100% progress is reported
-                if progress_callback:
-                    await progress_callback(100)
+                    # Stream download to file with progress updates using larger buffer
+                    loop = asyncio.get_running_loop()
+                    mode = 'ab' if resume_offset > 0 else 'wb'
+                    with open(part_path, mode) as f:
+                        async for chunk in response.content.iter_chunked(self.chunk_size):
+                            if chunk:
+                                # Run blocking file write in executor
+                                await loop.run_in_executor(None, f.write, chunk)
+                                current_size += len(chunk)
+                                
+                                # Limit progress update frequency to reduce overhead
+                                now = datetime.now()
+                                time_diff = (now - last_progress_report_time).total_seconds()
+                                
+                                if progress_callback and total_size and time_diff >= 1.0:
+                                    progress = (current_size / total_size) * 100
+                                    await progress_callback(progress)
+                                    last_progress_report_time = now
+                    
+                    # Download completed successfully
+                    # Verify file size if total_size was provided
+                    final_size = os.path.getsize(part_path)
+                    if total_size > 0 and final_size != total_size:
+                        logger.warning(f"File size mismatch. Expected: {total_size}, Got: {final_size}")
+                        # Don't treat this as fatal error, rename anyway
+                    
+                    # Atomically rename .part to final file with retries
+                    max_rename_attempts = 5
+                    rename_attempt = 0
+                    rename_success = False
+                    
+                    while rename_attempt < max_rename_attempts and not rename_success:
+                        try:
+                            os.rename(part_path, save_path)
+                            rename_success = True
+                        except PermissionError as e:
+                            rename_attempt += 1
+                            if rename_attempt < max_rename_attempts:
+                                logger.info(f"File still in use, retrying rename in 2 seconds (attempt {rename_attempt}/{max_rename_attempts})")
+                                await asyncio.sleep(2)  # Wait before retrying
+                            else:
+                                logger.error(f"Failed to rename file after {max_rename_attempts} attempts: {e}")
+                                return False, f"Failed to finalize download: {str(e)}"
+                    
+                    # Ensure 100% progress is reported
+                    if progress_callback:
+                        await progress_callback(100)
                         
-                return True, save_path
+                    return True, save_path
+                    
+            except (aiohttp.ClientError, aiohttp.ClientPayloadError, 
+                    aiohttp.ServerDisconnectedError, asyncio.TimeoutError) as e:
+                retry_count += 1
+                logger.warning(f"Network error during download (attempt {retry_count}/{max_retries + 1}): {e}")
                 
-        except aiohttp.ClientError as e:
-            logger.error(f"Network error during download: {e}")
-            return False, f"Network error: {str(e)}"
-        except Exception as e:
-            logger.error(f"Download error: {e}")
-            return False, str(e)
+                if retry_count <= max_retries:
+                    # Calculate delay with exponential backoff
+                    delay = base_delay * (2 ** (retry_count - 1))
+                    logger.info(f"Retrying in {delay} seconds...")
+                    await asyncio.sleep(delay)
+                    
+                    # Update resume offset for next attempt
+                    if os.path.exists(part_path):
+                        resume_offset = os.path.getsize(part_path)
+                        logger.info(f"Will resume from byte {resume_offset}")
+                    
+                    # Refresh session to get new connection
+                    await self.close()
+                    session = await self._ensure_fresh_session()
+                    continue
+                else:
+                    logger.error(f"Max retries exceeded for download: {e}")
+                    return False, f"Network error after {max_retries + 1} attempts: {str(e)}"
+                    
+            except Exception as e:
+                logger.error(f"Unexpected download error: {e}")
+                return False, str(e)
+        
+        return False, f"Download failed after {max_retries + 1} attempts"
 
     async def get_model_by_hash(self, model_hash: str) -> Optional[Dict]:
         try:
@@ -223,11 +340,11 @@ class CivitaiClient:
             logger.error(f"Error fetching model versions: {e}")
             return None
             
-    async def get_model_version(self, model_id: int, version_id: int = None) -> Optional[Dict]:
+    async def get_model_version(self, model_id: int = None, version_id: int = None) -> Optional[Dict]:
         """Get specific model version with additional metadata
         
         Args:
-            model_id: The Civitai model ID
+            model_id: The Civitai model ID (optional if version_id is provided)
             version_id: Optional specific version ID to retrieve
             
         Returns:
@@ -235,37 +352,72 @@ class CivitaiClient:
         """
         try:
             session = await self._ensure_fresh_session()
-            
-            # Step 1: Get model data to find version_id if not provided and get additional metadata
-            async with session.get(f"{self.base_url}/models/{model_id}") as response:
-                if response.status != 200:
-                    return None
-                    
-                data = await response.json()
-                model_versions = data.get('modelVersions', [])
-                
-                # Step 2: Determine the version_id to use
-                target_version_id = version_id
-                if target_version_id is None:
-                    target_version_id = model_versions[0].get('id')
-            
-            # Step 3: Get detailed version info using the version_id
             headers = self._get_request_headers()
-            async with session.get(f"{self.base_url}/model-versions/{target_version_id}", headers=headers) as response:
-                if response.status != 200:
-                    return None
+            
+            # Case 1: Only version_id is provided
+            if model_id is None and version_id is not None:
+                # First get the version info to extract model_id
+                async with session.get(f"{self.base_url}/model-versions/{version_id}", headers=headers) as response:
+                    if response.status != 200:
+                        return None
+                    
+                    version = await response.json()
+                    model_id = version.get('modelId')
+                    
+                    if not model_id:
+                        logger.error(f"No modelId found in version {version_id}")
+                        return None
                 
-                version = await response.json()
+                # Now get the model data for additional metadata
+                async with session.get(f"{self.base_url}/models/{model_id}") as response:
+                    if response.status != 200:
+                        return version  # Return version without additional metadata
+                    
+                    model_data = await response.json()
+                    
+                    # Enrich version with model data
+                    version['model']['description'] = model_data.get("description")
+                    version['model']['tags'] = model_data.get("tags", [])
+                    version['creator'] = model_data.get("creator")
+                    
+                    return version
+            
+            # Case 2: model_id is provided (with or without version_id)
+            elif model_id is not None:
+                # Step 1: Get model data to find version_id if not provided and get additional metadata
+                async with session.get(f"{self.base_url}/models/{model_id}") as response:
+                    if response.status != 200:
+                        return None
+                        
+                    data = await response.json()
+                    model_versions = data.get('modelVersions', [])
+                    
+                    # Step 2: Determine the version_id to use
+                    target_version_id = version_id
+                    if target_version_id is None:
+                        target_version_id = model_versions[0].get('id')
                 
-                # Step 4: Enrich version_info with model data
-                # Add description and tags from model data
-                version['model']['description'] = data.get("description")
-                version['model']['tags'] = data.get("tags", [])
-                
-                # Add creator from model data
-                version['creator'] = data.get("creator")
-                
-                return version
+                # Step 3: Get detailed version info using the version_id
+                async with session.get(f"{self.base_url}/model-versions/{target_version_id}", headers=headers) as response:
+                    if response.status != 200:
+                        return None
+                    
+                    version = await response.json()
+                    
+                    # Step 4: Enrich version_info with model data
+                    # Add description and tags from model data
+                    version['model']['description'] = data.get("description")
+                    version['model']['tags'] = data.get("tags", [])
+                    
+                    # Add creator from model data
+                    version['creator'] = data.get("creator")
+                    
+                    return version
+            
+            # Case 3: Neither model_id nor version_id provided
+            else:
+                logger.error("Either model_id or version_id must be provided")
+                return None
                 
         except Exception as e:
             logger.error(f"Error fetching model version: {e}")

py/services/download_manager.py

@@ -54,15 +54,15 @@ class DownloadManager:
         """Get the checkpoint scanner from registry"""
         return await ServiceRegistry.get_checkpoint_scanner()
     
-    async def download_from_civitai(self, model_id: int, model_version_id: int, 
+    async def download_from_civitai(self, model_id: int = None, model_version_id: int = None, 
                                   save_dir: str = None, relative_path: str = '', 
                                   progress_callback=None, use_default_paths: bool = False,
                                   download_id: str = None) -> Dict:
         """Download model from Civitai with task tracking and concurrency control
         
         Args:
-            model_id: Civitai model ID
-            model_version_id: Civitai model version ID
+            model_id: Civitai model ID (optional if model_version_id is provided)
+            model_version_id: Civitai model version ID (optional if model_id is provided)
             save_dir: Directory to save the model
             relative_path: Relative path within save_dir
             progress_callback: Callback function for progress updates
@@ -72,6 +72,10 @@ class DownloadManager:
         Returns:
             Dict with download result
         """
+        # Validate that at least one identifier is provided
+        if not model_id and not model_version_id:
+            return {'success': False, 'error': 'Either model_id or model_version_id must be provided'}
+        
         # Use provided download_id or generate new one
         task_id = download_id or str(uuid.uuid4())
         
@@ -181,14 +185,19 @@ class DownloadManager:
                 # Check both scanners
                 lora_scanner = await self._get_lora_scanner()
                 checkpoint_scanner = await self._get_checkpoint_scanner()
+                embedding_scanner = await ServiceRegistry.get_embedding_scanner()
                 
                 # Check lora scanner first
-                if await lora_scanner.check_model_version_exists(model_id, model_version_id):
+                if await lora_scanner.check_model_version_exists(model_version_id):
                     return {'success': False, 'error': 'Model version already exists in lora library'}
                 
                 # Check checkpoint scanner
-                if await checkpoint_scanner.check_model_version_exists(model_id, model_version_id):
+                if await checkpoint_scanner.check_model_version_exists(model_version_id):
                     return {'success': False, 'error': 'Model version already exists in checkpoint library'}
+                
+                # Check embedding scanner
+                if await embedding_scanner.check_model_version_exists(model_version_id):
+                    return {'success': False, 'error': 'Model version already exists in embedding library'}
 
             # Get civitai client
             civitai_client = await self._get_civitai_client()
@@ -211,23 +220,22 @@ class DownloadManager:
             
             # Case 2: model_version_id was None, check after getting version_info
             if model_version_id is None:
-                version_model_id = version_info.get('modelId')
                 version_id = version_info.get('id')
                 
                 if model_type == 'lora':
                     # Check lora scanner
                     lora_scanner = await self._get_lora_scanner()
-                    if await lora_scanner.check_model_version_exists(version_model_id, version_id):
+                    if await lora_scanner.check_model_version_exists(version_id):
                         return {'success': False, 'error': 'Model version already exists in lora library'}
                 elif model_type == 'checkpoint':
                     # Check checkpoint scanner
                     checkpoint_scanner = await self._get_checkpoint_scanner()
-                    if await checkpoint_scanner.check_model_version_exists(version_model_id, version_id):
+                    if await checkpoint_scanner.check_model_version_exists(version_id):
                         return {'success': False, 'error': 'Model version already exists in checkpoint library'}
                 elif model_type == 'embedding':
                     # Embeddings are not checked in scanners, but we can still check if it exists
                     embedding_scanner = await ServiceRegistry.get_embedding_scanner()
-                    if await embedding_scanner.check_model_version_exists(version_model_id, version_id):
+                    if await embedding_scanner.check_model_version_exists(version_id):
                         return {'success': False, 'error': 'Model version already exists in embedding library'}
             
             # Handle use_default_paths
@@ -250,7 +258,7 @@ class DownloadManager:
                     save_dir = default_path
                     
                 # Calculate relative path using template
-                relative_path = self._calculate_relative_path(version_info)
+                relative_path = self._calculate_relative_path(version_info, model_type)
 
             # Update save directory with relative path if provided
             if relative_path:
@@ -266,9 +274,9 @@ class DownloadManager:
                     from datetime import datetime
                     date_obj = datetime.fromisoformat(early_access_date.replace('Z', '+00:00'))
                     formatted_date = date_obj.strftime('%Y-%m-%d')
-                    early_access_msg = f"This model requires early access payment (until {formatted_date}). "
+                    early_access_msg = f"This model requires payment (until {formatted_date}). "
                 except:
-                    early_access_msg = "This model requires early access payment. "
+                    early_access_msg = "This model requires payment. "
                 
                 early_access_msg += "Please ensure you have purchased early access and are logged in to Civitai."
                 logger.warning(f"Early access model detected: {version_info.get('name', 'Unknown')}")
@@ -313,6 +321,10 @@ class DownloadManager:
                 download_id=download_id
             )
 
+            # If early_access_msg exists and download failed, replace error message
+            if 'early_access_msg' in locals() and not result.get('success', False):
+                result['error'] = early_access_msg
+
             return result
 
         except Exception as e:
@@ -323,17 +335,18 @@ class DownloadManager:
                 return {'success': False, 'error': f"Early access restriction: {str(e)}. Please ensure you have purchased early access and are logged in to Civitai."}
             return {'success': False, 'error': str(e)}
 
-    def _calculate_relative_path(self, version_info: Dict) -> str:
+    def _calculate_relative_path(self, version_info: Dict, model_type: str = 'lora') -> str:
         """Calculate relative path using template from settings
         
         Args:
             version_info: Version info from Civitai API
+            model_type: Type of model ('lora', 'checkpoint', 'embedding')
             
         Returns:
             Relative path string
         """
-        # Get path template from settings, default to '{base_model}/{first_tag}'
-        path_template = settings.get('download_path_template', '{base_model}/{first_tag}')
+        # Get path template from settings for specific model type
+        path_template = settings.get_download_path_template(model_type)
         
         # If template is empty, return empty path (flat structure)
         if not path_template:
@@ -342,6 +355,13 @@ class DownloadManager:
         # Get base model name
         base_model = version_info.get('baseModel', '')
         
+        # Get author from creator data
+        creator_info = version_info.get('creator')
+        if creator_info and isinstance(creator_info, dict):
+            author = creator_info.get('username') or 'Anonymous'
+        else:
+            author = 'Anonymous'
+        
         # Apply mapping if available
         base_model_mappings = settings.get('base_model_path_mappings', {})
         mapped_base_model = base_model_mappings.get(base_model, base_model)
@@ -364,6 +384,7 @@ class DownloadManager:
         formatted_path = path_template
         formatted_path = formatted_path.replace('{base_model}', mapped_base_model)
         formatted_path = formatted_path.replace('{first_tag}', first_tag)
+        formatted_path = formatted_path.replace('{author}', author)
         
         return formatted_path
 
@@ -375,11 +396,13 @@ class DownloadManager:
         try:
             civitai_client = await self._get_civitai_client()
             save_path = metadata.file_path
+            part_path = save_path + '.part'
             metadata_path = os.path.splitext(save_path)[0] + '.metadata.json'
             
-            # Store file path in active_downloads for potential cleanup
+            # Store file paths in active_downloads for potential cleanup
             if download_id and download_id in self._active_downloads:
                 self._active_downloads[download_id]['file_path'] = save_path
+                self._active_downloads[download_id]['part_path'] = part_path
 
             # Download preview image if available
             images = version_info.get('images', [])
@@ -446,10 +469,22 @@ class DownloadManager:
             )
 
             if not success:
-                # Clean up files on failure
-                for path in [save_path, metadata_path, metadata.preview_url]:
+                # Clean up files on failure, but preserve .part file for resume
+                cleanup_files = [metadata_path]
+                if metadata.preview_url and os.path.exists(metadata.preview_url):
+                    cleanup_files.append(metadata.preview_url)
+                
+                for path in cleanup_files:
                     if path and os.path.exists(path):
-                        os.remove(path)
+                        try:
+                            os.remove(path)
+                        except Exception as e:
+                            logger.warning(f"Failed to cleanup file {path}: {e}")
+                
+                # Log but don't remove .part file to allow resume
+                if os.path.exists(part_path):
+                    logger.info(f"Preserving partial download for resume: {part_path}")
+                
                 return {'success': False, 'error': result}
 
             # 4. Update file information (size and modified time)
@@ -485,10 +520,18 @@ class DownloadManager:
 
         except Exception as e:
             logger.error(f"Error in _execute_download: {e}", exc_info=True)
-            # Clean up partial downloads
-            for path in [save_path, metadata_path]:
+            # Clean up partial downloads except .part file
+            cleanup_files = [metadata_path]
+            if hasattr(metadata, 'preview_url') and metadata.preview_url and os.path.exists(metadata.preview_url):
+                cleanup_files.append(metadata.preview_url)
+            
+            for path in cleanup_files:
                 if path and os.path.exists(path):
-                    os.remove(path)
+                    try:
+                        os.remove(path)
+                    except Exception as e:
+                        logger.warning(f"Failed to cleanup file {path}: {e}")
+            
             return {'success': False, 'error': str(e)}
 
     async def _handle_download_progress(self, file_progress: float, progress_callback):
@@ -530,35 +573,48 @@ class DownloadManager:
             except (asyncio.CancelledError, asyncio.TimeoutError):
                 pass
             
-            # Clean up partial downloads
+            # Clean up ALL files including .part when user cancels
             download_info = self._active_downloads.get(download_id)
-            if download_info and 'file_path' in download_info:
-                # Delete the partial file
-                file_path = download_info['file_path']
-                if os.path.exists(file_path):
-                    try:
-                        os.unlink(file_path)
-                        logger.debug(f"Deleted partial download: {file_path}")
-                    except Exception as e:
-                        logger.error(f"Error deleting partial file: {e}")
+            if download_info:
+                # Delete the main file
+                if 'file_path' in download_info:
+                    file_path = download_info['file_path']
+                    if os.path.exists(file_path):
+                        try:
+                            os.unlink(file_path)
+                            logger.debug(f"Deleted cancelled download: {file_path}")
+                        except Exception as e:
+                            logger.error(f"Error deleting file: {e}")
+                
+                # Delete the .part file (only on user cancellation)
+                if 'part_path' in download_info:
+                    part_path = download_info['part_path']
+                    if os.path.exists(part_path):
+                        try:
+                            os.unlink(part_path)
+                            logger.debug(f"Deleted partial download: {part_path}")
+                        except Exception as e:
+                            logger.error(f"Error deleting part file: {e}")
                 
                 # Delete metadata file if exists
-                metadata_path = os.path.splitext(file_path)[0] + '.metadata.json'
-                if os.path.exists(metadata_path):
-                    try:
-                        os.unlink(metadata_path)
-                    except Exception as e:
-                        logger.error(f"Error deleting metadata file: {e}")
-
-                # Delete preview file if exists (.webp or .mp4)
-                for preview_ext in ['.webp', '.mp4']:
-                    preview_path = os.path.splitext(file_path)[0] + preview_ext
-                    if os.path.exists(preview_path):
+                if 'file_path' in download_info:
+                    file_path = download_info['file_path']
+                    metadata_path = os.path.splitext(file_path)[0] + '.metadata.json'
+                    if os.path.exists(metadata_path):
                         try:
-                            os.unlink(preview_path)
-                            logger.debug(f"Deleted preview file: {preview_path}")
+                            os.unlink(metadata_path)
                         except Exception as e:
-                            logger.error(f"Error deleting preview file: {e}")
+                            logger.error(f"Error deleting metadata file: {e}")
+
+                    # Delete preview file if exists (.webp or .mp4)
+                    for preview_ext in ['.webp', '.mp4']:
+                        preview_path = os.path.splitext(file_path)[0] + preview_ext
+                        if os.path.exists(preview_path):
+                            try:
+                                os.unlink(preview_path)
+                                logger.debug(f"Deleted preview file: {preview_path}")
+                            except Exception as e:
+                                logger.error(f"Error deleting preview file: {e}")
             
             return {'success': True, 'message': 'Download cancelled successfully'}
         except Exception as e:

py/services/lora_service.py

@@ -147,16 +147,6 @@ class LoraService(BaseModelService):
                 
         return letters
     
-    async def get_lora_notes(self, lora_name: str) -> Optional[str]:
-        """Get notes for a specific LoRA file"""
-        cache = await self.scanner.get_cached_data()
-        
-        for lora in cache.raw_data:
-            if lora['file_name'] == lora_name:
-                return lora.get('notes', '')
-        
-        return None
-    
     async def get_lora_trigger_words(self, lora_name: str) -> List[str]:
         """Get trigger words for a specific LoRA file"""
         cache = await self.scanner.get_cached_data()
@@ -168,41 +158,21 @@ class LoraService(BaseModelService):
         
         return []
     
-    async def get_lora_preview_url(self, lora_name: str) -> Optional[str]:
-        """Get the static preview URL for a LoRA file"""
+    async def get_lora_usage_tips_by_relative_path(self, relative_path: str) -> Optional[str]:
+        """Get usage tips for a LoRA by its relative path"""
         cache = await self.scanner.get_cached_data()
         
         for lora in cache.raw_data:
-            if lora['file_name'] == lora_name:
-                preview_url = lora.get('preview_url')
-                if preview_url:
-                    return config.get_preview_static_url(preview_url)
+            file_path = lora.get('file_path', '')
+            if file_path:
+                # Convert to forward slashes and extract relative path
+                file_path_normalized = file_path.replace('\\', '/')
+                # Find the relative path part by looking for the relative_path in the full path
+                if file_path_normalized.endswith(relative_path) or relative_path in file_path_normalized:
+                    return lora.get('usage_tips', '')
         
         return None
     
-    async def get_lora_civitai_url(self, lora_name: str) -> Dict[str, Optional[str]]:
-        """Get the Civitai URL for a LoRA file"""
-        cache = await self.scanner.get_cached_data()
-        
-        for lora in cache.raw_data:
-            if lora['file_name'] == lora_name:
-                civitai_data = lora.get('civitai', {})
-                model_id = civitai_data.get('modelId')
-                version_id = civitai_data.get('id')
-                
-                if model_id:
-                    civitai_url = f"https://civitai.com/models/{model_id}"
-                    if version_id:
-                        civitai_url += f"?modelVersionId={version_id}"
-                    
-                    return {
-                        'civitai_url': civitai_url,
-                        'model_id': str(model_id),
-                        'version_id': str(version_id) if version_id else None
-                    }
-        
-        return {'civitai_url': None, 'model_id': None, 'version_id': None}
-    
     def find_duplicate_hashes(self) -> Dict:
         """Find LoRAs with duplicate SHA256 hashes"""
         return self.scanner._hash_index.get_duplicate_hashes()

py/services/model_hash_index.py

@@ -31,29 +31,34 @@ class ModelHashIndex:
                 if file_path not in self._duplicate_hashes.get(sha256, []):
                     self._duplicate_hashes.setdefault(sha256, []).append(file_path)
         
-        # Track duplicates by filename
+        # Track duplicates by filename - FIXED LOGIC
         if filename in self._filename_to_hash:
-            old_hash = self._filename_to_hash[filename]
-            if old_hash != sha256:  # Different models with the same name
-                old_path = self._hash_to_path.get(old_hash)
-                if old_path:
-                    if filename not in self._duplicate_filenames:
-                        self._duplicate_filenames[filename] = [old_path]
-                    if file_path not in self._duplicate_filenames.get(filename, []):
-                        self._duplicate_filenames.setdefault(filename, []).append(file_path)
+            existing_hash = self._filename_to_hash[filename]
+            existing_path = self._hash_to_path.get(existing_hash)
+            
+            # If this is a different file with the same filename
+            if existing_path and existing_path != file_path:
+                # Initialize duplicates tracking if needed
+                if filename not in self._duplicate_filenames:
+                    self._duplicate_filenames[filename] = [existing_path]
+                
+                # Add current file to duplicates if not already present
+                if file_path not in self._duplicate_filenames[filename]:
+                    self._duplicate_filenames[filename].append(file_path)
         
         # Remove old path mapping if hash exists
         if sha256 in self._hash_to_path:
             old_path = self._hash_to_path[sha256]
             old_filename = self._get_filename_from_path(old_path)
-            if old_filename in self._filename_to_hash:
+            if old_filename in self._filename_to_hash and self._filename_to_hash[old_filename] == sha256:
                 del self._filename_to_hash[old_filename]
         
-        # Remove old hash mapping if filename exists
+        # Remove old hash mapping if filename exists and points to different hash
         if filename in self._filename_to_hash:
             old_hash = self._filename_to_hash[filename]
-            if old_hash in self._hash_to_path:
-                del self._hash_to_path[old_hash]
+            if old_hash != sha256 and old_hash in self._hash_to_path:
+                # Don't delete the old hash mapping, just update filename mapping
+                pass
         
         # Add new mappings
         self._hash_to_path[sha256] = file_path
@@ -199,8 +204,6 @@ class ModelHashIndex:
     
     def get_hash_by_filename(self, filename: str) -> Optional[str]:
         """Get hash for a filename without extension"""
-        # Strip extension if present to make the function more flexible
-        filename = os.path.splitext(filename)[0]
         return self._filename_to_hash.get(filename)
     
     def clear(self) -> None:

py/services/model_scanner.py

@@ -302,6 +302,13 @@ class ModelScanner:
                         for tag in model_data['tags']:
                             self._tags_count[tag] = self._tags_count.get(tag, 0) + 1
                 
+                # Log duplicate filename warnings after building the index
+                # duplicate_filenames = self._hash_index.get_duplicate_filenames()
+                # if duplicate_filenames:
+                #     logger.warning(f"Found {len(duplicate_filenames)} filename(s) with duplicates during {self.model_type} cache build:")
+                #     for filename, paths in duplicate_filenames.items():
+                #         logger.warning(f"  Duplicate filename '{filename}': {paths}")
+                
                 # Update cache
                 self._cache.raw_data = raw_data
                 loop.run_until_complete(self._cache.resort())
@@ -367,6 +374,13 @@ class ModelScanner:
                     for tag in model_data['tags']:
                         self._tags_count[tag] = self._tags_count.get(tag, 0) + 1
             
+            # Log duplicate filename warnings after building the index
+            # duplicate_filenames = self._hash_index.get_duplicate_filenames()
+            # if duplicate_filenames:
+            #     logger.warning(f"Found {len(duplicate_filenames)} filename(s) with duplicates during {self.model_type} cache build:")
+            #     for filename, paths in duplicate_filenames.items():
+            #         logger.warning(f"  Duplicate filename '{filename}': {paths}")
+            
             # Update cache
             self._cache = ModelCache(
                 raw_data=raw_data,
@@ -569,12 +583,12 @@ class ModelScanner:
                     for entry in entries:
                         try:
                             if entry.is_file(follow_symlinks=True) and any(entry.name.endswith(ext) for ext in self.file_extensions):
-                                # Use original path instead of real path
                                 file_path = entry.path.replace(os.sep, "/")
-                                await self._process_single_file(file_path, original_root, models)
+                                result = await self._process_model_file(file_path, original_root)
+                                if result:
+                                    models.append(result)
                                 await asyncio.sleep(0)
                             elif entry.is_dir(follow_symlinks=True):
-                                # For directories, continue scanning with original path
                                 await scan_recursive(entry.path, visited_paths)
                         except Exception as e:
                             logger.error(f"Error processing entry {entry.path}: {e}")
@@ -583,15 +597,6 @@ class ModelScanner:
 
         await scan_recursive(root_path, set())
         return models
-
-    async def _process_single_file(self, file_path: str, root_path: str, models: list):
-        """Process a single file and add to results list"""
-        try:
-            result = await self._process_model_file(file_path, root_path)
-            if result:
-                models.append(result)
-        except Exception as e:
-            logger.error(f"Error processing {file_path}: {e}")
     
     def is_initializing(self) -> bool:
         """Check if the scanner is currently initializing"""
@@ -613,7 +618,10 @@ class ModelScanner:
                 return os.path.dirname(rel_path).replace(os.path.sep, '/')
         return ''
 
-    # Common methods shared between scanners
+    def adjust_metadata(self, metadata, file_path, root_path):
+        """Hook for subclasses: adjust metadata during scanning"""
+        return metadata
+
     async def _process_model_file(self, file_path: str, root_path: str) -> Dict:
         """Process a single model file and return its metadata"""
         metadata = await MetadataManager.load_metadata(file_path, self.model_class)
@@ -667,12 +675,23 @@ class ModelScanner:
         if metadata is None:
             metadata = await self._create_default_metadata(file_path)
         
+        # Hook: allow subclasses to adjust metadata
+        metadata = self.adjust_metadata(metadata, file_path, root_path)
+        
         model_data = metadata.to_dict()
         
         # Skip excluded models
         if model_data.get('exclude', False):
             self._excluded_models.append(model_data['file_path'])
             return None
+        
+        # Check for duplicate filename before adding to hash index
+        filename = os.path.splitext(os.path.basename(file_path))[0]
+        existing_hash = self._hash_index.get_hash_by_filename(filename)
+        if existing_hash and existing_hash != model_data.get('sha256', '').lower():
+            existing_path = self._hash_index.get_path(existing_hash)
+            if existing_path and existing_path != file_path:
+                logger.warning(f"Duplicate filename detected: '{filename}' - files: '{existing_path}' and '{file_path}'")
             
         await self._fetch_missing_metadata(file_path, model_data)
         rel_path = os.path.relpath(file_path, root_path)
@@ -732,48 +751,6 @@ class ModelScanner:
         except Exception as e:
             logger.error(f"Failed to update metadata from Civitai for {file_path}: {e}")
 
-    async def _scan_directory(self, root_path: str) -> List[Dict]:
-        """Base implementation for directory scanning"""
-        models = []
-        original_root = root_path
-
-        async def scan_recursive(path: str, visited_paths: set):
-            try:
-                real_path = os.path.realpath(path)
-                if real_path in visited_paths:
-                    logger.debug(f"Skipping already visited path: {path}")
-                    return
-                visited_paths.add(real_path)
-                
-                with os.scandir(path) as it:
-                    entries = list(it)
-                    for entry in entries:
-                        try:
-                            if entry.is_file(follow_symlinks=True):
-                                ext = os.path.splitext(entry.name)[1].lower()
-                                if ext in self.file_extensions:
-                                    file_path = entry.path.replace(os.sep, "/")
-                                    await self._process_single_file(file_path, original_root, models)
-                                    await asyncio.sleep(0)
-                            elif entry.is_dir(follow_symlinks=True):
-                                await scan_recursive(entry.path, visited_paths)
-                        except Exception as e:
-                            logger.error(f"Error processing entry {entry.path}: {e}")
-            except Exception as e:
-                logger.error(f"Error scanning {path}: {e}")
-        
-        await scan_recursive(root_path, set())
-        return models
-
-    async def _process_single_file(self, file_path: str, root_path: str, models_list: list):
-        """Process a single file and add to results list"""
-        try:
-            result = await self._process_model_file(file_path, root_path)
-            if result:
-                models_list.append(result)
-        except Exception as e:
-            logger.error(f"Error processing {file_path}: {e}")
-
     async def add_model_to_cache(self, metadata_dict: Dict, folder: str = '') -> bool:
         """Add a model to the cache
         
@@ -1194,13 +1171,12 @@ class ModelScanner:
             if len(self._hash_index._duplicate_filenames[file_name]) <= 1:
                 del self._hash_index._duplicate_filenames[file_name]
 
-    async def check_model_version_exists(self, model_id: int, model_version_id: int) -> bool:
+    async def check_model_version_exists(self, model_version_id: int) -> bool:
         """Check if a specific model version exists in the cache
-        
+
         Args:
-            model_id: Civitai model ID
             model_version_id: Civitai model version ID
-            
+
         Returns:
             bool: True if the model version exists, False otherwise
         """
@@ -1208,13 +1184,11 @@ class ModelScanner:
             cache = await self.get_cached_data()
             if not cache or not cache.raw_data:
                 return False
-                
+
             for item in cache.raw_data:
-                if (item.get('civitai') and 
-                    item['civitai'].get('modelId') == model_id and 
-                    item['civitai'].get('id') == model_version_id):
+                if item.get('civitai') and item['civitai'].get('id') == model_version_id:
                     return True
-                    
+
             return False
         except Exception as e:
             logger.error(f"Error checking model version existence: {e}")

py/services/settings_manager.py

@@ -9,6 +9,7 @@ class SettingsManager:
     def __init__(self):
         self.settings_file = os.path.join(os.path.dirname(os.path.dirname(os.path.dirname(__file__))), 'settings.json')
         self.settings = self._load_settings()
+        self._migrate_download_path_template()
         self._auto_set_default_roots()
         self._check_environment_variables()
 
@@ -22,6 +23,24 @@ class SettingsManager:
                 logger.error(f"Error loading settings: {e}")
         return self._get_default_settings()
 
+    def _migrate_download_path_template(self):
+        """Migrate old download_path_template to new download_path_templates"""
+        old_template = self.settings.get('download_path_template')
+        templates = self.settings.get('download_path_templates')
+        
+        # If old template exists and new templates don't exist, migrate
+        if old_template is not None and not templates:
+            logger.info("Migrating download_path_template to download_path_templates")
+            self.settings['download_path_templates'] = {
+                'lora': old_template,
+                'checkpoint': old_template,
+                'embedding': old_template
+            }
+            # Remove old setting
+            del self.settings['download_path_template']
+            self._save_settings()
+            logger.info("Migration completed")
+
     def _auto_set_default_roots(self):
         """Auto set default root paths if only one folder is present and default is empty."""
         folder_paths = self.settings.get('folder_paths', {})
@@ -81,4 +100,16 @@ class SettingsManager:
         except Exception as e:
             logger.error(f"Error saving settings: {e}")
 
+    def get_download_path_template(self, model_type: str) -> str:
+        """Get download path template for specific model type
+        
+        Args:
+            model_type: The type of model ('lora', 'checkpoint', 'embedding')
+            
+        Returns:
+            Template string for the model type, defaults to '{base_model}/{first_tag}'
+        """
+        templates = self.settings.get('download_path_templates', {})
+        return templates.get(model_type, '{base_model}/{first_tag}')
+
 settings = SettingsManager()

py/services/websocket_manager.py

@@ -16,6 +16,9 @@ class WebSocketManager:
         self._download_websockets: Dict[str, web.WebSocketResponse] = {}  # New dict for download-specific clients
         # Add progress tracking dictionary
         self._download_progress: Dict[str, Dict] = {}
+        # Add auto-organize progress tracking
+        self._auto_organize_progress: Optional[Dict] = None
+        self._auto_organize_lock = asyncio.Lock()
         
     async def handle_connection(self, request: web.Request) -> web.WebSocketResponse:
         """Handle new WebSocket connection"""
@@ -134,6 +137,33 @@ class WebSocketManager:
         except Exception as e:
             logger.error(f"Error sending download progress: {e}")
             
+    async def broadcast_auto_organize_progress(self, data: Dict):
+        """Broadcast auto-organize progress to connected clients"""
+        # Store progress data in memory
+        self._auto_organize_progress = data
+        
+        # Broadcast via WebSocket
+        await self.broadcast(data)
+    
+    def get_auto_organize_progress(self) -> Optional[Dict]:
+        """Get current auto-organize progress"""
+        return self._auto_organize_progress
+    
+    def cleanup_auto_organize_progress(self):
+        """Clear auto-organize progress data"""
+        self._auto_organize_progress = None
+    
+    def is_auto_organize_running(self) -> bool:
+        """Check if auto-organize is currently running"""
+        if not self._auto_organize_progress:
+            return False
+        status = self._auto_organize_progress.get('status')
+        return status in ['started', 'processing', 'cleaning']
+    
+    async def get_auto_organize_lock(self):
+        """Get the auto-organize lock"""
+        return self._auto_organize_lock
+    
     def get_download_progress(self, download_id: str) -> Optional[Dict]:
         """Get progress information for a specific download"""
         return self._download_progress.get(download_id)

py/utils/constants.py

@@ -48,9 +48,13 @@ SUPPORTED_MEDIA_EXTENSIONS = {
 # Valid Lora types
 VALID_LORA_TYPES = ['lora', 'locon', 'dora']
 
+# Auto-organize settings
+AUTO_ORGANIZE_BATCH_SIZE = 50  # Process models in batches to avoid overwhelming the system
+
 # Civitai model tags in priority order for subfolder organization
 CIVITAI_MODEL_TAGS = [
-    'character', 'style', 'concept', 'clothing', 'base model', 
+    'character', 'style', 'concept', 'clothing', 
+    # 'base model', # exclude 'base model'
     'poses', 'background', 'tool', 'vehicle', 'buildings', 
     'objects', 'assets', 'animal', 'action'
 ]

py/utils/example_images_download_manager.py

@@ -6,8 +6,10 @@ import time
 import aiohttp
 from aiohttp import web
 from ..services.service_registry import ServiceRegistry
+from ..utils.metadata_manager import MetadataManager
 from .example_images_processor import ExampleImagesProcessor
 from .example_images_metadata import MetadataUpdater
+from ..services.websocket_manager import ws_manager  # Add this import at the top
 
 logger = logging.getLogger(__name__)
 
@@ -24,7 +26,8 @@ download_progress = {
     'start_time': None,
     'end_time': None,
     'processed_models': set(),  # Track models that have been processed
-    'refreshed_models': set()  # Track models that had metadata refreshed
+    'refreshed_models': set(),  # Track models that had metadata refreshed
+    'failed_models': set()  # Track models that failed to download after metadata refresh
 }
 
 class DownloadManager:
@@ -50,6 +53,7 @@ class DownloadManager:
             response_progress = download_progress.copy()
             response_progress['processed_models'] = list(download_progress['processed_models'])
             response_progress['refreshed_models'] = list(download_progress['refreshed_models'])
+            response_progress['failed_models'] = list(download_progress['failed_models'])
             
             return web.json_response({
                 'success': False,
@@ -91,12 +95,15 @@ class DownloadManager:
                     with open(progress_file, 'r', encoding='utf-8') as f:
                         saved_progress = json.load(f)
                         download_progress['processed_models'] = set(saved_progress.get('processed_models', []))
-                        logger.info(f"Loaded previous progress, {len(download_progress['processed_models'])} models already processed")
+                        download_progress['failed_models'] = set(saved_progress.get('failed_models', []))
+                        logger.debug(f"Loaded previous progress, {len(download_progress['processed_models'])} models already processed, {len(download_progress['failed_models'])} models marked as failed")
                 except Exception as e:
                     logger.error(f"Failed to load progress file: {e}")
                     download_progress['processed_models'] = set()
+                    download_progress['failed_models'] = set()
             else:
                 download_progress['processed_models'] = set()
+                download_progress['failed_models'] = set()
             
             # Start the download task
             is_downloading = True
@@ -113,6 +120,7 @@ class DownloadManager:
             response_progress = download_progress.copy()
             response_progress['processed_models'] = list(download_progress['processed_models'])
             response_progress['refreshed_models'] = list(download_progress['refreshed_models'])
+            response_progress['failed_models'] = list(download_progress['failed_models'])
             
             return web.json_response({
                 'success': True,
@@ -136,6 +144,7 @@ class DownloadManager:
         response_progress = download_progress.copy()
         response_progress['processed_models'] = list(download_progress['processed_models'])
         response_progress['refreshed_models'] = list(download_progress['refreshed_models'])
+        response_progress['failed_models'] = list(download_progress['failed_models'])
         
         return web.json_response({
             'success': True,
@@ -230,7 +239,7 @@ class DownloadManager:
             
             # Update total count
             download_progress['total'] = len(all_models)
-            logger.info(f"Found {download_progress['total']} models to process")
+            logger.debug(f"Found {download_progress['total']} models to process")
             
             # Process each model
             for i, (scanner_type, model, scanner) in enumerate(all_models):
@@ -250,7 +259,7 @@ class DownloadManager:
             # Mark as completed
             download_progress['status'] = 'completed'
             download_progress['end_time'] = time.time()
-            logger.info(f"Example images download completed: {download_progress['completed']}/{download_progress['total']} models processed")
+            logger.debug(f"Example images download completed: {download_progress['completed']}/{download_progress['total']} models processed")
             
         except Exception as e:
             error_msg = f"Error during example images download: {str(e)}"
@@ -299,6 +308,11 @@ class DownloadManager:
             # Update current model info
             download_progress['current_model'] = f"{model_name} ({model_hash[:8]})"
             
+            # Skip if already in failed models
+            if model_hash in download_progress['failed_models']:
+                logger.debug(f"Skipping known failed model: {model_name}")
+                return False
+            
             # Skip if already processed AND directory exists with files
             if model_hash in download_progress['processed_models']:
                 model_dir = os.path.join(output_dir, model_hash)
@@ -308,6 +322,8 @@ class DownloadManager:
                     return False
                 else:
                     logger.info(f"Model {model_name} marked as processed but folder empty or missing, reprocessing")
+                    # Remove from processed models since we need to reprocess
+                    download_progress['processed_models'].discard(model_hash)
             
             # Create model directory
             model_dir = os.path.join(output_dir, model_hash)
@@ -351,12 +367,23 @@ class DownloadManager:
                         success, _ = await ExampleImagesProcessor.download_model_images(
                             model_hash, model_name, updated_images, model_dir, optimize, independent_session
                         )
+                    
+                    download_progress['refreshed_models'].add(model_hash)
                 
-                # Only mark as processed if all images were downloaded successfully
+                # Mark as processed if successful, or as failed if unsuccessful after refresh
                 if success:
                     download_progress['processed_models'].add(model_hash)
+                else:
+                    # If we refreshed metadata and still failed, mark as permanently failed
+                    if model_hash in download_progress['refreshed_models']:
+                        download_progress['failed_models'].add(model_hash)
+                        logger.info(f"Marking model {model_name} as failed after metadata refresh")
                     
                 return True  # Return True to indicate a remote download happened
+            else:
+                # No civitai data or images available, mark as failed to avoid future attempts
+                download_progress['failed_models'].add(model_hash)
+                logger.debug(f"No civitai images available for model {model_name}, marking as failed")
             
             # Save progress periodically
             if download_progress['completed'] % 10 == 0 or download_progress['completed'] == download_progress['total'] - 1:
@@ -391,6 +418,7 @@ class DownloadManager:
             progress_data = {
                 'processed_models': list(download_progress['processed_models']),
                 'refreshed_models': list(download_progress['refreshed_models']),
+                'failed_models': list(download_progress['failed_models']),
                 'completed': download_progress['completed'],
                 'total': download_progress['total'],
                 'last_update': time.time()
@@ -405,4 +433,364 @@ class DownloadManager:
             with open(progress_file, 'w', encoding='utf-8') as f:
                 json.dump(progress_data, f, indent=2)
         except Exception as e:
-            logger.error(f"Failed to save progress file: {e}")
+            logger.error(f"Failed to save progress file: {e}")
+    
+    @staticmethod
+    async def start_force_download(request):
+        """
+        Force download example images for specific models
+        
+        Expects a JSON body with:
+        {
+            "model_hashes": ["hash1", "hash2", ...],  # List of model hashes to download
+            "output_dir": "path/to/output",           # Base directory to save example images
+            "optimize": true,                         # Whether to optimize images (default: true)
+            "model_types": ["lora", "checkpoint"],    # Model types to process (default: both)
+            "delay": 1.0                              # Delay between downloads (default: 1.0)
+        }
+        """
+        global download_task, is_downloading, download_progress
+
+        if is_downloading:
+            return web.json_response({
+                'success': False,
+                'error': 'Download already in progress'
+            }, status=400)
+
+        try:
+            # Parse the request body
+            data = await request.json()
+            model_hashes = data.get('model_hashes', [])
+            output_dir = data.get('output_dir')
+            optimize = data.get('optimize', True)
+            model_types = data.get('model_types', ['lora', 'checkpoint'])
+            delay = float(data.get('delay', 0.2)) # Default to 0.2 seconds
+            
+            if not model_hashes:
+                return web.json_response({
+                    'success': False,
+                    'error': 'Missing model_hashes parameter'
+                }, status=400)
+                
+            if not output_dir:
+                return web.json_response({
+                    'success': False,
+                    'error': 'Missing output_dir parameter'
+                }, status=400)
+            
+            # Create the output directory
+            os.makedirs(output_dir, exist_ok=True)
+            
+            # Initialize progress tracking
+            download_progress['total'] = len(model_hashes)
+            download_progress['completed'] = 0
+            download_progress['current_model'] = ''
+            download_progress['status'] = 'running'
+            download_progress['errors'] = []
+            download_progress['last_error'] = None
+            download_progress['start_time'] = time.time()
+            download_progress['end_time'] = None
+            download_progress['processed_models'] = set()
+            download_progress['refreshed_models'] = set()
+            download_progress['failed_models'] = set()
+
+            # Set download status to downloading
+            is_downloading = True
+
+            # Execute the download function directly instead of creating a background task
+            result = await DownloadManager._download_specific_models_example_images_sync(
+                model_hashes,
+                output_dir, 
+                optimize, 
+                model_types,
+                delay
+            )
+
+            # Set download status to not downloading
+            is_downloading = False
+
+            return web.json_response({
+                'success': True,
+                'message': 'Force download completed',
+                'result': result
+            })
+
+        except Exception as e:
+            # Set download status to not downloading
+            is_downloading = False
+            logger.error(f"Failed during forced example images download: {e}", exc_info=True)
+            return web.json_response({
+                'success': False,
+                'error': str(e)
+            }, status=500)
+    
+    @staticmethod
+    async def _download_specific_models_example_images_sync(model_hashes, output_dir, optimize, model_types, delay):
+        """Download example images for specific models only - synchronous version"""
+        global download_progress
+        
+        # Create independent download session
+        connector = aiohttp.TCPConnector(
+            ssl=True,
+            limit=3,
+            force_close=False,
+            enable_cleanup_closed=True
+        )
+        timeout = aiohttp.ClientTimeout(total=None, connect=60, sock_read=60)
+        independent_session = aiohttp.ClientSession(
+            connector=connector,
+            trust_env=True,
+            timeout=timeout
+        )
+        
+        try:
+            # Get scanners
+            scanners = []
+            if 'lora' in model_types:
+                lora_scanner = await ServiceRegistry.get_lora_scanner()
+                scanners.append(('lora', lora_scanner))
+            
+            if 'checkpoint' in model_types:
+                checkpoint_scanner = await ServiceRegistry.get_checkpoint_scanner()
+                scanners.append(('checkpoint', checkpoint_scanner))
+
+            if 'embedding' in model_types:
+                embedding_scanner = await ServiceRegistry.get_embedding_scanner()
+                scanners.append(('embedding', embedding_scanner))
+            
+            # Find the specified models
+            models_to_process = []
+            for scanner_type, scanner in scanners:
+                cache = await scanner.get_cached_data()
+                if cache and cache.raw_data:
+                    for model in cache.raw_data:
+                        if model.get('sha256') in model_hashes:
+                            models_to_process.append((scanner_type, model, scanner))
+            
+            # Update total count based on found models
+            download_progress['total'] = len(models_to_process)
+            logger.debug(f"Found {download_progress['total']} models to process")
+            
+            # Send initial progress via WebSocket
+            await ws_manager.broadcast({
+                'type': 'example_images_progress',
+                'processed': 0,
+                'total': download_progress['total'],
+                'status': 'running',
+                'current_model': ''
+            })
+            
+            # Process each model
+            success_count = 0
+            for i, (scanner_type, model, scanner) in enumerate(models_to_process):
+                # Force process this model regardless of previous status
+                was_successful = await DownloadManager._process_specific_model(
+                    scanner_type, model, scanner, 
+                    output_dir, optimize, independent_session
+                )
+                
+                if was_successful:
+                    success_count += 1
+                
+                # Update progress
+                download_progress['completed'] += 1
+                
+                # Send progress update via WebSocket
+                await ws_manager.broadcast({
+                    'type': 'example_images_progress',
+                    'processed': download_progress['completed'],
+                    'total': download_progress['total'],
+                    'status': 'running',
+                    'current_model': download_progress['current_model']
+                })
+                
+                # Only add delay after remote download, and not after processing the last model
+                if was_successful and i < len(models_to_process) - 1 and download_progress['status'] == 'running':
+                    await asyncio.sleep(delay)
+            
+            # Mark as completed
+            download_progress['status'] = 'completed'
+            download_progress['end_time'] = time.time()
+            logger.debug(f"Forced example images download completed: {download_progress['completed']}/{download_progress['total']} models processed")
+            
+            # Send final progress via WebSocket
+            await ws_manager.broadcast({
+                'type': 'example_images_progress',
+                'processed': download_progress['completed'],
+                'total': download_progress['total'],
+                'status': 'completed',
+                'current_model': ''
+            })
+            
+            return {
+                'total': download_progress['total'],
+                'processed': download_progress['completed'],
+                'successful': success_count,
+                'errors': download_progress['errors']
+            }
+            
+        except Exception as e:
+            error_msg = f"Error during forced example images download: {str(e)}"
+            logger.error(error_msg, exc_info=True)
+            download_progress['errors'].append(error_msg)
+            download_progress['last_error'] = error_msg
+            download_progress['status'] = 'error'
+            download_progress['end_time'] = time.time()
+            
+            # Send error status via WebSocket
+            await ws_manager.broadcast({
+                'type': 'example_images_progress',
+                'processed': download_progress['completed'],
+                'total': download_progress['total'],
+                'status': 'error',
+                'error': error_msg,
+                'current_model': ''
+            })
+            
+            raise
+        
+        finally:
+            # Close the independent session
+            try:
+                await independent_session.close()
+            except Exception as e:
+                logger.error(f"Error closing download session: {e}")
+    
+    @staticmethod
+    async def _process_specific_model(scanner_type, model, scanner, output_dir, optimize, independent_session):
+        """Process a specific model for forced download, ignoring previous download status"""
+        global download_progress
+        
+        # Check if download is paused
+        while download_progress['status'] == 'paused':
+            await asyncio.sleep(1)
+        
+        # Check if download should continue
+        if download_progress['status'] != 'running':
+            logger.info(f"Download stopped: {download_progress['status']}")
+            return False
+        
+        model_hash = model.get('sha256', '').lower()
+        model_name = model.get('model_name', 'Unknown')
+        model_file_path = model.get('file_path', '')
+        model_file_name = model.get('file_name', '')
+        
+        try:
+            # Update current model info
+            download_progress['current_model'] = f"{model_name} ({model_hash[:8]})"
+            
+            # Create model directory
+            model_dir = os.path.join(output_dir, model_hash)
+            os.makedirs(model_dir, exist_ok=True)
+            
+            # First check for local example images - local processing doesn't need delay
+            local_images_processed = await ExampleImagesProcessor.process_local_examples(
+                model_file_path, model_file_name, model_name, model_dir, optimize
+            )
+            
+            # If we processed local images, update metadata
+            if local_images_processed:
+                await MetadataUpdater.update_metadata_from_local_examples(
+                    model_hash, model, scanner_type, scanner, model_dir
+                )
+                download_progress['processed_models'].add(model_hash)
+                return False  # Return False to indicate no remote download happened
+            
+            # If no local images, try to download from remote
+            elif model.get('civitai') and model.get('civitai', {}).get('images'):
+                images = model.get('civitai', {}).get('images', [])
+                
+                success, is_stale, failed_images = await ExampleImagesProcessor.download_model_images_with_tracking(
+                    model_hash, model_name, images, model_dir, optimize, independent_session
+                )
+                
+                # If metadata is stale, try to refresh it
+                if is_stale and model_hash not in download_progress['refreshed_models']:
+                    await MetadataUpdater.refresh_model_metadata(
+                        model_hash, model_name, scanner_type, scanner
+                    )
+                    
+                    # Get the updated model data
+                    updated_model = await MetadataUpdater.get_updated_model(
+                        model_hash, scanner
+                    )
+                    
+                    if updated_model and updated_model.get('civitai', {}).get('images'):
+                        # Retry download with updated metadata
+                        updated_images = updated_model.get('civitai', {}).get('images', [])
+                        success, _, additional_failed_images = await ExampleImagesProcessor.download_model_images_with_tracking(
+                            model_hash, model_name, updated_images, model_dir, optimize, independent_session
+                        )
+                        
+                        # Combine failed images from both attempts
+                        failed_images.extend(additional_failed_images)
+                    
+                    download_progress['refreshed_models'].add(model_hash)
+                
+                # For forced downloads, remove failed images from metadata
+                if failed_images:
+                    # Create a copy of images excluding failed ones
+                    await DownloadManager._remove_failed_images_from_metadata(
+                        model_hash, model_name, failed_images, scanner
+                    )
+                
+                # Mark as processed
+                if success or failed_images:  # Mark as processed if we successfully downloaded some images or removed failed ones
+                    download_progress['processed_models'].add(model_hash)
+                    
+                return True  # Return True to indicate a remote download happened
+            else:
+                logger.debug(f"No civitai images available for model {model_name}")
+                return False
+                
+        except Exception as e:
+            error_msg = f"Error processing model {model.get('model_name')}: {str(e)}"
+            logger.error(error_msg, exc_info=True)
+            download_progress['errors'].append(error_msg)
+            download_progress['last_error'] = error_msg
+            return False  # Return False on exception
+
+    @staticmethod
+    async def _remove_failed_images_from_metadata(model_hash, model_name, failed_images, scanner):
+        """Remove failed images from model metadata"""
+        try:
+            # Get current model data
+            model_data = await MetadataUpdater.get_updated_model(model_hash, scanner)
+            if not model_data:
+                logger.warning(f"Could not find model data for {model_name} to remove failed images")
+                return
+                
+            if not model_data.get('civitai', {}).get('images'):
+                logger.warning(f"No images in metadata for {model_name}")
+                return
+                
+            # Get current images
+            current_images = model_data['civitai']['images']
+            
+            # Filter out failed images
+            updated_images = [img for img in current_images if img.get('url') not in failed_images]
+            
+            # If images were removed, update metadata
+            if len(updated_images) < len(current_images):
+                removed_count = len(current_images) - len(updated_images)
+                logger.info(f"Removing {removed_count} failed images from metadata for {model_name}")
+                
+                # Update the images list
+                model_data['civitai']['images'] = updated_images
+                
+                # Save metadata to file
+                file_path = model_data.get('file_path')
+                if file_path:
+                    # Create a copy of model data without 'folder' field
+                    model_copy = model_data.copy()
+                    model_copy.pop('folder', None)
+                    
+                    # Write metadata to file
+                    await MetadataManager.save_metadata(file_path, model_copy)
+                    logger.info(f"Saved updated metadata for {model_name} after removing failed images")
+                    
+                    # Update the scanner cache
+                    await scanner.update_single_model_cache(file_path, file_path, model_data)
+                    
+        except Exception as e:
+            logger.error(f"Error removing failed images from metadata for {model_name}: {e}", exc_info=True)

py/utils/example_images_file_manager.py

@@ -43,7 +43,15 @@ class ExampleImagesFileManager:
             
             # Construct folder path for this model
             model_folder = os.path.join(example_images_path, model_hash)
-            
+            model_folder = os.path.abspath(model_folder)  # Get absolute path
+
+            # Path validation: ensure model_folder is under example_images_path
+            if not model_folder.startswith(os.path.abspath(example_images_path)):
+                return web.json_response({
+                    'success': False,
+                    'error': 'Invalid model folder path'
+                }, status=400)
+
             # Check if folder exists
             if not os.path.exists(model_folder):
                 return web.json_response({

py/utils/example_images_processor.py

@@ -102,6 +102,78 @@ class ExampleImagesProcessor:
         
         return model_success, False  # (success, is_metadata_stale)
     
+    @staticmethod
+    async def download_model_images_with_tracking(model_hash, model_name, model_images, model_dir, optimize, independent_session):
+        """Download images for a single model with tracking of failed image URLs
+        
+        Returns:
+            tuple: (success, is_stale_metadata, failed_images) - whether download was successful, whether metadata is stale, list of failed image URLs
+        """
+        model_success = True
+        failed_images = []
+        
+        for i, image in enumerate(model_images):
+            image_url = image.get('url')
+            if not image_url:
+                continue
+            
+            # Get image filename from URL
+            image_filename = os.path.basename(image_url.split('?')[0])
+            image_ext = os.path.splitext(image_filename)[1].lower()
+            
+            # Handle images and videos
+            is_image = image_ext in SUPPORTED_MEDIA_EXTENSIONS['images']
+            is_video = image_ext in SUPPORTED_MEDIA_EXTENSIONS['videos']
+            
+            if not (is_image or is_video):
+                logger.debug(f"Skipping unsupported file type: {image_filename}")
+                continue
+            
+            # Use 0-based indexing instead of 1-based indexing
+            save_filename = f"image_{i}{image_ext}"
+            
+            # If optimizing images and this is a Civitai image, use their pre-optimized WebP version
+            if is_image and optimize and 'civitai.com' in image_url:
+                image_url = ExampleImagesProcessor.get_civitai_optimized_url(image_url)
+                save_filename = f"image_{i}.webp"
+            
+            # Check if already downloaded
+            save_path = os.path.join(model_dir, save_filename)
+            if os.path.exists(save_path):
+                logger.debug(f"File already exists: {save_path}")
+                continue
+            
+            # Download the file
+            try:
+                logger.debug(f"Downloading {save_filename} for {model_name}")
+                
+                # Download directly using the independent session
+                async with independent_session.get(image_url, timeout=60) as response:
+                    if response.status == 200:
+                        with open(save_path, 'wb') as f:
+                            async for chunk in response.content.iter_chunked(8192):
+                                if chunk:
+                                    f.write(chunk)
+                    elif response.status == 404:
+                        error_msg = f"Failed to download file: {image_url}, status code: 404 - Model metadata might be stale"
+                        logger.warning(error_msg)
+                        model_success = False  # Mark the model as failed due to 404 error
+                        failed_images.append(image_url)  # Track failed URL
+                        # Return early to trigger metadata refresh attempt
+                        return False, True, failed_images  # (success, is_metadata_stale, failed_images)
+                    else:
+                        error_msg = f"Failed to download file: {image_url}, status code: {response.status}"
+                        logger.warning(error_msg)
+                        model_success = False  # Mark the model as failed
+                        failed_images.append(image_url)  # Track failed URL
+            except Exception as e:
+                error_msg = f"Error downloading file {image_url}: {str(e)}"
+                logger.error(error_msg)
+                model_success = False  # Mark the model as failed
+                failed_images.append(image_url)  # Track failed URL
+        
+        return model_success, False, failed_images  # (success, is_metadata_stale, failed_images)
+    
     @staticmethod
     async def process_local_examples(model_file_path, model_file_name, model_name, model_dir, optimize):
         """Process local example images

py/utils/routes_common.py

@@ -580,16 +580,19 @@ class ModelRouteUtils:
                 })
             
             # Check which identifier is provided and convert to int
-            try:
-                model_id = int(data.get('model_id'))
-            except (TypeError, ValueError):
-                return web.json_response({
-                    'success': False,
-                    'error': "Invalid model_id: Must be an integer"
-                }, status=400)
+            model_id = None
+            model_version_id = None
+            
+            if data.get('model_id'):
+                try:
+                    model_id = int(data.get('model_id'))
+                except (TypeError, ValueError):
+                    return web.json_response({
+                        'success': False,
+                        'error': "Invalid model_id: Must be an integer"
+                    }, status=400)
 
             # Convert model_version_id to int if provided
-            model_version_id = None 
             if data.get('model_version_id'):
                 try:
                     model_version_id = int(data.get('model_version_id'))
@@ -599,11 +602,11 @@ class ModelRouteUtils:
                         'error': "Invalid model_version_id: Must be an integer"
                     }, status=400)
             
-            # Only model_id is required, model_version_id is optional
-            if not model_id:
+            # At least one identifier is required
+            if not model_id and not model_version_id:
                 return web.json_response({
                     'success': False,
-                    'error': "Missing required parameter: Please provide 'model_id'"
+                    'error': "Missing required parameter: Please provide either 'model_id' or 'model_version_id'"
                 }, status=400)
             
             use_default_paths = data.get('use_default_paths', False)
@@ -625,15 +628,6 @@ class ModelRouteUtils:
             if not result.get('success', False):
                 error_message = result.get('error', 'Unknown error')
                 
-                # Return 401 for early access errors
-                if 'early access' in error_message.lower():
-                    logger.warning(f"Early access download failed: {error_message}")
-                    return web.json_response({
-                        'success': False,
-                        'error': f"Early Access Restriction: {error_message}",
-                        'download_id': download_id
-                    }, status=401)
-                
                 return web.json_response({
                     'success': False,
                     'error': error_message,

py/utils/utils.py

@@ -1,10 +1,10 @@
 from difflib import SequenceMatcher
-import requests
-import tempfile
 import os
-from bs4 import BeautifulSoup
+from typing import Dict
 from ..services.service_registry import ServiceRegistry
 from ..config import config
+from ..services.settings_manager import settings
+from .constants import CIVITAI_MODEL_TAGS
 import asyncio
 
 def get_lora_info(lora_name):
@@ -50,82 +50,7 @@ def get_lora_info(lora_name):
         # No event loop is running, we can use asyncio.run()
         return asyncio.run(_get_lora_info_async())
 
-def download_twitter_image(url):
-    """Download image from a URL containing twitter:image meta tag
-    
-    Args:
-        url (str): The URL to download image from
-        
-    Returns:
-        str: Path to downloaded temporary image file
-    """
-    try:
-        # Download page content
-        response = requests.get(url)
-        response.raise_for_status()
-        
-        # Parse HTML
-        soup = BeautifulSoup(response.text, 'html.parser')
-        
-        # Find twitter:image meta tag
-        meta_tag = soup.find('meta', attrs={'property': 'twitter:image'})
-        if not meta_tag:
-            return None
-            
-        image_url = meta_tag['content']
-        
-        # Download image
-        image_response = requests.get(image_url)
-        image_response.raise_for_status()
-        
-        # Save to temp file
-        with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as temp_file:
-            temp_file.write(image_response.content)
-            return temp_file.name
-            
-    except Exception as e:
-        print(f"Error downloading twitter image: {e}")
-        return None
-
-def download_civitai_image(url):
-    """Download image from a URL containing avatar image with specific class and style attributes
-    
-    Args:
-        url (str): The URL to download image from
-        
-    Returns:
-        str: Path to downloaded temporary image file
-    """
-    try:
-        # Download page content
-        response = requests.get(url)
-        response.raise_for_status()
-        
-        # Parse HTML
-        soup = BeautifulSoup(response.text, 'html.parser')
-        
-        # Find image with specific class and style attributes
-        image = soup.select_one('img.EdgeImage_image__iH4_q.max-h-full.w-auto.max-w-full')
-        
-        if not image or 'src' not in image.attrs:
-            return None
-            
-        image_url = image['src']
-        
-        # Download image
-        image_response = requests.get(image_url)
-        image_response.raise_for_status()
-        
-        # Save to temp file
-        with tempfile.NamedTemporaryFile(delete=False, suffix='.jpg') as temp_file:
-            temp_file.write(image_response.content)
-            return temp_file.name
-            
-    except Exception as e:
-        print(f"Error downloading civitai avatar: {e}")
-        return None
-
-def fuzzy_match(text: str, pattern: str, threshold: float = 0.7) -> bool:
+def fuzzy_match(text: str, pattern: str, threshold: float = 0.85) -> bool:
         """
         Check if text matches pattern using fuzzy matching.
         Returns True if similarity ratio is above threshold.
@@ -206,3 +131,95 @@ def calculate_recipe_fingerprint(loras):
     fingerprint = "|".join([f"{hash_value}:{strength}" for hash_value, strength in valid_loras])
     
     return fingerprint
+
+def calculate_relative_path_for_model(model_data: Dict, model_type: str = 'lora') -> str:
+    """Calculate relative path for existing model using template from settings
+
+    Args:
+        model_data: Model data from scanner cache
+        model_type: Type of model ('lora', 'checkpoint', 'embedding')
+
+    Returns:
+        Relative path string (empty string for flat structure)
+    """
+    # Get path template from settings for specific model type
+    path_template = settings.get_download_path_template(model_type)
+
+    # If template is empty, return empty path (flat structure)
+    if not path_template:
+        return ''
+
+    # Get base model name from model metadata
+    civitai_data = model_data.get('civitai', {})
+
+    # For CivitAI models, prefer civitai data only if 'id' exists; for non-CivitAI models, use model_data directly
+    if civitai_data and civitai_data.get('id') is not None:
+        base_model = civitai_data.get('baseModel', '')
+        # Get author from civitai creator data
+        creator_info = civitai_data.get('creator') or {}
+        author = creator_info.get('username') or 'Anonymous'
+    else:
+        # Fallback to model_data fields for non-CivitAI models
+        base_model = model_data.get('base_model', '')
+        author = 'Anonymous'  # Default for non-CivitAI models
+
+    model_tags = model_data.get('tags', [])
+
+    # Apply mapping if available
+    base_model_mappings = settings.get('base_model_path_mappings', {})
+    mapped_base_model = base_model_mappings.get(base_model, base_model)
+
+    # Find the first Civitai model tag that exists in model_tags
+    first_tag = ''
+    for civitai_tag in CIVITAI_MODEL_TAGS:
+        if civitai_tag in model_tags:
+            first_tag = civitai_tag
+            break
+
+    # If no Civitai model tag found, fallback to first tag
+    if not first_tag and model_tags:
+        first_tag = model_tags[0]
+
+    if not first_tag:
+        first_tag = 'no tags'  # Default if no tags available
+
+    # Format the template with available data
+    formatted_path = path_template
+    formatted_path = formatted_path.replace('{base_model}', mapped_base_model)
+    formatted_path = formatted_path.replace('{first_tag}', first_tag)
+    formatted_path = formatted_path.replace('{author}', author)
+
+    return formatted_path
+
+def remove_empty_dirs(path):
+    """Recursively remove empty directories starting from the given path.
+    
+    Args:
+        path (str): Root directory to start cleaning from
+        
+    Returns:
+        int: Number of empty directories removed
+    """
+    removed_count = 0
+    
+    if not os.path.isdir(path):
+        return removed_count
+        
+    # List all files in directory
+    files = os.listdir(path)
+    
+    # Process all subdirectories first
+    for file in files:
+        full_path = os.path.join(path, file)
+        if os.path.isdir(full_path):
+            removed_count += remove_empty_dirs(full_path)
+    
+    # Check if directory is now empty (after processing subdirectories)
+    if not os.listdir(path):
+        try:
+            os.rmdir(path)
+            removed_count += 1
+        except OSError:
+            pass
+    
+    return removed_count

pyproject.toml

@@ -1,17 +1,15 @@
 [project]
 name = "comfyui-lora-manager"
 description = "Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!"
-version = "0.8.24"
+version = "0.8.29"
 license = {file = "LICENSE"}
 dependencies = [
     "aiohttp",
     "jinja2", 
     "safetensors",
-    "beautifulsoup4",
     "piexif",
     "Pillow",
     "olefile", # for getting rid of warning message
-    "requests",
     "toml",
     "natsort",
     "GitPython"

requirements.txt

@@ -1,13 +1,10 @@
 aiohttp
 jinja2
 safetensors
-beautifulsoup4
 piexif
 Pillow
 olefile
-requests
 toml
 numpy
 natsort
-pyyaml
 GitPython

settings.json.example

@@ -9,6 +9,10 @@
     "checkpoints": [
       "C:/path/to/your/checkpoints_folder",
       "C:/path/to/another/checkpoints_folder"
+    ],
+    "embeddings": [
+      "C:/path/to/your/embeddings_folder",
+      "C:/path/to/another/embeddings_folder"
     ]
   }
 }

static/css/components/bulk.css

@@ -12,7 +12,9 @@
     z-index: var(--z-overlay);
     display: flex;
     flex-direction: column;
-    min-width: 300px;
+    min-width: 420px;
+    max-width: 900px;
+    width: auto;
     transition: all 0.4s cubic-bezier(0.175, 0.885, 0.32, 1.275);
     opacity: 0;
 }
@@ -48,6 +50,8 @@
     color: var(--text-color);
     cursor: pointer;
     font-size: 14px;
+    white-space: nowrap;
+    min-height: 36px;
     display: flex;
     align-items: center;
     gap: 6px;
@@ -105,6 +109,8 @@
 @media (max-width: 768px) {
     .bulk-operations-panel {
         width: calc(100% - 40px);
+        min-width: unset;
+        max-width: unset;
         left: 20px;
         transform: none;
         border-radius: var(--border-radius-sm);

static/css/components/download-modal.css

@@ -1,197 +0,0 @@
-/* Download Modal Styles */
-.download-step {
-    margin: var(--space-2) 0;
-}
-
-.input-group {
-    margin-bottom: var(--space-2);
-}
-
-.input-group label {
-    display: block;
-    margin-bottom: 8px;
-    color: var(--text-color);
-}
-
-.input-group input,
-.input-group select {
-    width: 100%;
-    padding: 8px;
-    border: 1px solid var(--border-color);
-    border-radius: var(--border-radius-xs);
-    background: var(--bg-color);
-    color: var(--text-color);
-}
-
-/* Version List Styles */
-.version-list {
-    max-height: 400px;
-    overflow-y: auto;
-    margin: var(--space-2) 0;
-    display: flex;
-    flex-direction: column;
-    gap: 12px;
-    padding: 1px;
-}
-
-.version-item {
-    display: flex;
-    gap: var(--space-2);
-    padding: var(--space-2);
-    border: 1px solid var(--border-color);
-    border-radius: var(--border-radius-sm);
-    cursor: pointer;
-    transition: all 0.2s ease;
-    background: var(--bg-color);
-    margin: 1px;
-    position: relative;
-}
-
-.version-item:hover {
-    border-color: var(--lora-accent);
-    box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
-    z-index: 1;
-}
-
-.version-item.selected {
-    border: 2px solid var(--lora-accent);
-    background: oklch(var(--lora-accent) / 0.05);
-}
-
-.version-thumbnail {
-    width: 80px;
-    height: 80px;
-    flex-shrink: 0;
-    border-radius: var(--border-radius-xs);
-    overflow: hidden;
-    background: var(--bg-color);
-}
-
-.version-thumbnail img {
-    width: 100%;
-    height: 100%;
-    object-fit: cover;
-}
-
-.version-content {
-    display: flex;
-    flex-direction: column;
-    gap: 8px;
-    flex: 1;
-    min-width: 0;
-}
-
-.version-header {
-    display: flex;
-    align-items: flex-start;
-    justify-content: space-between;
-    gap: var(--space-2);
-}
-
-.version-content h3 {
-    margin: 0;
-    font-size: 1.1em;
-    color: var(--text-color);
-    flex: 1;
-}
-
-.version-content .version-info {
-    display: flex;
-    flex-wrap: wrap;
-    flex-direction: row !important;
-    gap: 8px;
-    align-items: center;
-    font-size: 0.9em;
-}
-
-.version-content .version-info .base-model {
-    background: oklch(var(--lora-accent) / 0.1);
-    color: var(--lora-accent);
-    padding: 2px 8px;
-    border-radius: var(--border-radius-xs);
-}
-
-.version-meta {
-    display: flex;
-    gap: 12px;
-    font-size: 0.85em;
-    color: var(--text-color);
-    opacity: 0.7;
-}
-
-.version-meta span {
-    display: flex;
-    align-items: center;
-    gap: 4px;
-}
-
-/* Folder Browser Styles */
-.folder-browser {
-    border: 1px solid var(--border-color);
-    border-radius: var(--border-radius-xs);
-    padding: var(--space-1);
-    max-height: 200px;
-    overflow-y: auto;
-}
-
-.folder-item {
-    padding: 8px;
-    cursor: pointer;
-    border-radius: var(--border-radius-xs);
-    transition: background-color 0.2s;
-}
-
-.folder-item:hover {
-    background: var(--lora-surface);
-}
-
-.folder-item.selected {
-    background: oklch(var(--lora-accent) / 0.1);
-    border: 1px solid var(--lora-accent);
-}
-
-/* Path Preview Styles */
-.path-preview {
-    margin-bottom: var(--space-3);
-    padding: var(--space-2);
-    background: var(--bg-color);
-    border-radius: var(--border-radius-sm);
-    border: 1px dashed var(--border-color);
-}
-
-.path-preview label {
-    display: block;
-    margin-bottom: 8px;
-    color: var(--text-color);
-    font-size: 0.9em;
-    opacity: 0.8;
-}
-
-.path-display {
-    padding: var(--space-1);
-    color: var(--text-color);
-    font-family: monospace;
-    font-size: 0.9em;
-    line-height: 1.4;
-    white-space: pre-wrap;
-    word-break: break-all;
-    opacity: 0.85;
-    background: var(--lora-surface);
-    border-radius: var(--border-radius-xs);
-}
-
-/* Dark theme adjustments */
-[data-theme="dark"] .version-item {
-    background: var(--lora-surface);
-}
-
-[data-theme="dark"] .local-path {
-    background: var(--lora-surface);
-    border-color: var(--lora-border);
-}
-
-/* Enhance the local badge to make it more noticeable */
-.version-item.exists-locally {
-    background: oklch(var(--lora-accent) / 0.05);
-    border-left: 4px solid var(--lora-accent);
-}

static/css/components/header.css

@@ -19,6 +19,18 @@
   height: 100%;
 }
 
+/* Responsive header container for larger screens */
+@media (min-width: 2000px) {
+  .header-container {
+    max-width: 1800px;
+  }
+}
+@media (min-width: 3000px) {
+  .header-container {
+    max-width: 2400px;
+  }
+}
+
 /* Logo and title styling */
 .header-branding {
   display: flex;

static/css/components/import-modal.css

@@ -337,72 +337,7 @@
     margin-left: 8px;
 }
 
-/* Location Selection Styles */
-.location-selection {
-    margin: var(--space-2) 0;
-    padding: var(--space-2);
-    background: var(--lora-surface);
-    border-radius: var(--border-radius-sm);
-}
-
-/* Reuse folder browser and path preview styles from download-modal.css */
-.folder-browser {
-    border: 1px solid var(--border-color);
-    border-radius: var(--border-radius-xs);
-    padding: var(--space-1);
-    max-height: 200px;
-    overflow-y: auto;
-}
-
-.folder-item {
-    padding: 8px;
-    cursor: pointer;
-    border-radius: var(--border-radius-xs);
-    transition: background-color 0.2s;
-}
-
-.folder-item:hover {
-    background: var(--lora-surface);
-}
-
-.folder-item.selected {
-    background: oklch(var(--lora-accent) / 0.1);
-    border: 1px solid var(--lora-accent);
-}
-
-.path-preview {
-    margin-bottom: var(--space-3);
-    padding: var(--space-2);
-    background: var(--bg-color);
-    border-radius: var(--border-radius-sm);
-    border: 1px dashed var(--border-color);
-}
-
-.path-preview label {
-    display: block;
-    margin-bottom: 8px;
-    color: var(--text-color);
-    font-size: 0.9em;
-    opacity: 0.8;
-}
-
-.path-display {
-    padding: var(--space-1);
-    color: var(--text-color);
-    font-family: monospace;
-    font-size: 0.9em;
-    line-height: 1.4;
-    white-space: pre-wrap;
-    word-break: break-all;
-    opacity: 0.85;
-    background: var(--lora-surface);
-    border-radius: var(--border-radius-xs);
-}
-
 /* Input Group Styles */
-.input-group {
-    margin-bottom: var(--space-2);
-}
 
 .input-with-button {
     display: flex;
@@ -430,22 +365,6 @@
     background: oklch(from var(--lora-accent) l c h / 0.9);
 }
 
-.input-group label {
-    display: block;
-    margin-bottom: 8px;
-    color: var(--text-color);
-}
-
-.input-group input,
-.input-group select {
-    width: 100%;
-    padding: 8px;
-    border: 1px solid var(--border-color);
-    border-radius: var(--border-radius-xs);
-    background: var(--bg-color);
-    color: var(--text-color);
-}
-
 /* Dark theme adjustments */
 [data-theme="dark"] .lora-item {
     background: var(--lora-surface);

static/css/components/modal/_base.css

@@ -23,7 +23,7 @@ body.modal-open {
     position: relative;
     max-width: 800px;
     height: auto;
-    max-height: calc(90vh - 48px); /* Adjust to account for header height */
+    /* max-height: calc(90vh - 48px); */
     margin: 1rem auto; /* Keep reduced top margin */
     background: var(--lora-surface);
     border-radius: var(--border-radius-base);

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

@@ -0,0 +1,505 @@
+/* Download Modal Styles */
+.input-group {
+    margin-bottom: var(--space-2);
+}
+
+.input-group label {
+    display: block;
+    margin-bottom: 8px;
+    color: var(--text-color);
+}
+
+.input-group input,
+.input-group select {
+    width: 100%;
+    padding: 8px;
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-xs);
+    background: var(--bg-color);
+    color: var(--text-color);
+}
+
+/* Version List Styles */
+.version-list {
+    max-height: 400px;
+    overflow-y: auto;
+    margin: var(--space-2) 0;
+    display: flex;
+    flex-direction: column;
+    gap: 12px;
+    padding: 1px;
+}
+
+.version-item {
+    display: flex;
+    gap: var(--space-2);
+    padding: var(--space-2);
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-sm);
+    cursor: pointer;
+    transition: all 0.2s ease;
+    background: var(--bg-color);
+    margin: 1px;
+    position: relative;
+}
+
+.version-item:hover {
+    border-color: var(--lora-accent);
+    box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
+    z-index: 1;
+}
+
+.version-item.selected {
+    border: 2px solid var(--lora-accent);
+    background: oklch(var(--lora-accent) / 0.05);
+}
+
+.version-thumbnail {
+    width: 80px;
+    height: 80px;
+    flex-shrink: 0;
+    border-radius: var(--border-radius-xs);
+    overflow: hidden;
+    background: var(--bg-color);
+}
+
+.version-thumbnail img {
+    width: 100%;
+    height: 100%;
+    object-fit: cover;
+}
+
+.version-content {
+    display: flex;
+    flex-direction: column;
+    gap: 8px;
+    flex: 1;
+    min-width: 0;
+}
+
+.version-header {
+    display: flex;
+    align-items: flex-start;
+    justify-content: space-between;
+    gap: var(--space-2);
+}
+
+.version-content h3 {
+    margin: 0;
+    font-size: 1.1em;
+    color: var(--text-color);
+    flex: 1;
+}
+
+.version-content .version-info {
+    display: flex;
+    flex-wrap: wrap;
+    flex-direction: row !important;
+    gap: 8px;
+    align-items: center;
+    font-size: 0.9em;
+}
+
+.version-content .version-info .base-model {
+    background: oklch(var(--lora-accent) / 0.1);
+    color: var(--lora-accent);
+    padding: 2px 8px;
+    border-radius: var(--border-radius-xs);
+}
+
+.version-meta {
+    display: flex;
+    gap: 12px;
+    font-size: 0.85em;
+    color: var(--text-color);
+    opacity: 0.7;
+}
+
+.version-meta span {
+    display: flex;
+    align-items: center;
+    gap: 4px;
+}
+
+.folder-item {
+    padding: 8px;
+    cursor: pointer;
+    border-radius: var(--border-radius-xs);
+    transition: background-color 0.2s;
+}
+
+.folder-item:hover {
+    background: var(--lora-surface);
+}
+
+.folder-item.selected {
+    background: oklch(var(--lora-accent) / 0.1);
+    border: 1px solid var(--lora-accent);
+}
+
+/* Path Input Styles */
+.path-input-container {
+    position: relative;
+    display: flex;
+    gap: 8px;
+    align-items: center;
+}
+
+.path-input-container input {
+    flex: 1;
+}
+
+.create-folder-btn {
+    padding: 8px;
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-xs);
+    background: var(--bg-color);
+    color: var(--text-color);
+    cursor: pointer;
+    transition: all 0.2s ease;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    width: 36px;
+    height: 36px;
+}
+
+.create-folder-btn:hover {
+    border-color: var(--lora-accent);
+    background: oklch(var(--lora-accent) / 0.05);
+}
+
+.path-suggestions {
+    position: absolute;
+    top: 46%;
+    left: 0;
+    right: 0;
+    z-index: 1000;
+    margin: 0 24px;
+    background: var(--bg-color);
+    border: 1px solid var(--border-color);
+    border-top: none;
+    border-radius: 0 0 var(--border-radius-xs) var(--border-radius-xs);
+    max-height: 200px;
+    overflow-y: auto;
+}
+
+.path-suggestion {
+    padding: 8px 12px;
+    cursor: pointer;
+    transition: background-color 0.2s;
+    border-bottom: 1px solid var(--border-color);
+}
+
+.path-suggestion:last-child {
+    border-bottom: none;
+}
+
+.path-suggestion:hover {
+    background: var(--lora-surface);
+}
+
+.path-suggestion.active {
+    background: oklch(var(--lora-accent) / 0.1);
+    color: var(--lora-accent);
+}
+
+/* Breadcrumb Navigation Styles */
+.breadcrumb-nav {
+    display: flex;
+    align-items: center;
+    gap: 4px;
+    margin-bottom: var(--space-2);
+    padding: var(--space-1);
+    background: var(--lora-surface);
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+    overflow-x: auto;
+    white-space: nowrap;
+}
+
+.breadcrumb-item {
+    display: flex;
+    align-items: center;
+    gap: 4px;
+    padding: 4px 8px;
+    border-radius: var(--border-radius-xs);
+    cursor: pointer;
+    transition: all 0.2s ease;
+    color: var(--text-color);
+    opacity: 0.7;
+    text-decoration: none;
+}
+
+.breadcrumb-item:hover {
+    background: var(--bg-color);
+    opacity: 1;
+}
+
+.breadcrumb-item.active {
+    background: oklch(var(--lora-accent) / 0.1);
+    color: var(--lora-accent);
+    opacity: 1;
+}
+
+.breadcrumb-separator {
+    color: var(--text-color);
+    opacity: 0.5;
+    margin: 0 4px;
+}
+
+/* Folder Tree Styles */
+.folder-tree-container {
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-xs);
+    background: var(--bg-color);
+    max-height: 300px;
+    overflow-y: auto;
+}
+
+.folder-tree {
+    padding: var(--space-1);
+}
+
+.tree-node {
+    user-select: none;
+}
+
+.tree-node-content {
+    display: flex;
+    align-items: center;
+    gap: 4px;
+    padding: 4px 8px;
+    cursor: pointer;
+    border-radius: var(--border-radius-xs);
+    transition: all 0.2s ease;
+    position: relative;
+}
+
+.tree-node-content:hover {
+    background: var(--lora-surface);
+}
+
+.tree-node-content.selected {
+    background: oklch(var(--lora-accent) / 0.1);
+    border: 1px solid var(--lora-accent);
+}
+
+.tree-expand-icon {
+    width: 16px;
+    height: 16px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    cursor: pointer;
+    border-radius: 2px;
+    transition: all 0.2s ease;
+}
+
+.tree-expand-icon:hover {
+    background: var(--lora-surface);
+}
+
+.tree-expand-icon.expanded {
+    transform: rotate(90deg);
+}
+
+.tree-folder-icon {
+    width: 16px;
+    height: 16px;
+    display: flex;
+    align-items: center;
+    justify-content: center;
+    color: var(--lora-accent);
+}
+
+.tree-folder-name {
+    flex: 1;
+    font-size: 0.9em;
+    color: var(--text-color);
+}
+
+.tree-children {
+    margin-left: 20px;
+    display: none;
+}
+
+.tree-children.expanded {
+    display: block;
+}
+
+.tree-node.has-children > .tree-node-content .tree-expand-icon {
+    opacity: 1;
+}
+
+.tree-node:not(.has-children) > .tree-node-content .tree-expand-icon {
+    opacity: 0;
+    pointer-events: none;
+}
+
+/* Create folder inline form */
+.create-folder-form {
+    display: flex;
+    gap: 8px;
+    margin-left: 20px;
+    align-items: center;
+    height: 21px;
+}
+
+.create-folder-form input {
+    flex: 1;
+    padding: 4px 8px;
+    border: 1px solid var(--lora-accent);
+    border-radius: var(--border-radius-xs);
+    background: var(--bg-color);
+    color: var(--text-color);
+    font-size: 0.9em;
+}
+
+.create-folder-form button {
+    padding: 4px 8px;
+    border: 1px solid var(--border-color);
+    border-radius: var(--border-radius-xs);
+    background: var(--bg-color);
+    color: var(--text-color);
+    cursor: pointer;
+    font-size: 0.8em;
+    transition: all 0.2s ease;
+}
+
+.create-folder-form button.confirm {
+    background: var(--lora-accent);
+    color: white;
+    border-color: var(--lora-accent);
+}
+
+.create-folder-form button:hover {
+    background: var(--lora-surface);
+}
+
+/* Path Preview Styles */
+.path-preview {
+    margin-bottom: var(--space-3);
+    padding: var(--space-2);
+    background: var(--bg-color);
+    border-radius: var(--border-radius-sm);
+    border: 1px dashed var(--border-color);
+}
+
+.path-preview-header {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    margin-bottom: 12px;
+    gap: var(--space-2);
+}
+
+.path-preview-header label {
+    margin: 0;
+    color: var(--text-color);
+    font-size: 0.9em;
+    opacity: 0.8;
+}
+
+.path-display {
+    padding: var(--space-1);
+    color: var(--text-color);
+    font-family: monospace;
+    font-size: 0.9em;
+    line-height: 1.4;
+    white-space: pre-wrap;
+    word-break: break-all;
+    opacity: 0.85;
+    background: var(--lora-surface);
+    border-radius: var(--border-radius-xs);
+}
+
+/* Inline Toggle Styles */
+.inline-toggle-container {
+    display: flex;
+    align-items: center;
+    gap: 8px;
+    cursor: pointer;
+    user-select: none;
+    position: relative;
+}
+
+.inline-toggle-label {
+    font-size: 0.85em;
+    color: var(--text-color);
+    opacity: 0.9;
+    white-space: nowrap;
+}
+
+.inline-toggle-container .toggle-switch {
+    position: relative;
+    width: 36px;
+    height: 18px;
+    flex-shrink: 0;
+}
+
+.inline-toggle-container .toggle-switch input {
+    opacity: 0;
+    width: 0;
+    height: 0;
+    position: absolute;
+}
+
+.inline-toggle-container .toggle-slider {
+    position: absolute;
+    cursor: pointer;
+    top: 0;
+    left: 0;
+    right: 0;
+    bottom: 0;
+    background-color: var(--border-color);
+    transition: all 0.3s ease;
+    border-radius: 18px;
+}
+
+.inline-toggle-container .toggle-slider:before {
+    position: absolute;
+    content: "";
+    height: 12px;
+    width: 12px;
+    left: 3px;
+    bottom: 3px;
+    background-color: white;
+    transition: all 0.3s ease;
+    border-radius: 50%;
+    box-shadow: 0 1px 2px rgba(0, 0, 0, 0.2);
+}
+
+.inline-toggle-container .toggle-switch input:checked + .toggle-slider {
+    background-color: var(--lora-accent);
+}
+
+.inline-toggle-container .toggle-switch input:checked + .toggle-slider:before {
+    transform: translateX(18px);
+}
+
+/* Dark theme adjustments */
+[data-theme="dark"] .version-item {
+    background: var(--lora-surface);
+}
+
+[data-theme="dark"] .local-path {
+    background: var(--lora-surface);
+    border-color: var(--lora-border);
+}
+
+[data-theme="dark"] .toggle-slider:before {
+    background-color: #f0f0f0;
+}
+
+/* Enhance the local badge to make it more noticeable */
+.version-item.exists-locally {
+    background: oklch(var(--lora-accent) / 0.05);
+    border-left: 4px solid var(--lora-accent);
+}
+
+.manual-path-selection.disabled {
+    opacity: 0.5;
+    pointer-events: none;
+    user-select: none;
+}

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

@@ -482,4 +482,99 @@ input:checked + .toggle-slider:before {
 [data-theme="dark"] .base-model-select option {
     background-color: #2d2d2d;
     color: var(--text-color);
+}
+
+/* Template Configuration Styles */
+.placeholder-info {
+    margin-top: var(--space-1);
+    display: flex;
+    flex-wrap: wrap;
+    align-items: center;
+    gap: var(--space-1);
+}
+
+.placeholder-tag {
+    display: inline-block;
+    background: var(--lora-accent);
+    color: white;
+    padding: 2px 6px;
+    border-radius: 3px;
+    font-family: monospace;
+    font-size: 1em;
+    font-weight: 500;
+}
+
+.template-custom-row {
+    margin-top: 8px;
+    animation: slideDown 0.2s ease-out;
+}
+
+@keyframes slideDown {
+    from {
+        opacity: 0;
+        transform: translateY(-10px);
+    }
+    to {
+        opacity: 1;
+        transform: translateY(0);
+    }
+}
+
+.template-custom-input {
+    width: 96%;
+    padding: 6px 10px;
+    border-radius: var(--border-radius-xs);
+    border: 1px solid var(--border-color);
+    background-color: var(--lora-surface);
+    color: var(--text-color);
+    font-size: 0.95em;
+    font-family: monospace;
+    height: 24px;
+    transition: border-color 0.2s;
+}
+
+.template-custom-input:focus {
+    border-color: var(--lora-accent);
+    outline: none;
+    box-shadow: 0 0 0 2px rgba(var(--lora-accent-rgb, 79, 70, 229), 0.1);
+}
+
+.template-custom-input::placeholder {
+    color: var(--text-color);
+    opacity: 0.5;
+    font-family: inherit;
+}
+
+.template-validation {
+    margin-top: 6px;
+    font-size: 0.85em;
+    display: flex;
+    align-items: center;
+    gap: 6px;
+    min-height: 20px;
+}
+
+.template-validation.valid {
+    color: var(--lora-success, #22c55e);
+}
+
+.template-validation.invalid {
+    color: var(--lora-error, #ef4444);
+}
+
+.template-validation i {
+    width: 12px;
+}
+
+/* Dark theme specific adjustments */
+[data-theme="dark"] .template-custom-input {
+    background-color: rgba(30, 30, 30, 0.9);
+}
+
+/* Responsive adjustments */
+@media (max-width: 768px) {
+    .placeholder-info {
+        flex-direction: column;
+        align-items: flex-start;
+    }
 }

static/css/style.css

@@ -16,7 +16,7 @@
 @import 'components/modal/relink-civitai-modal.css';
 @import 'components/modal/example-access-modal.css';
 @import 'components/modal/support-modal.css';
-@import 'components/download-modal.css';
+@import 'components/modal/download-modal.css';
 @import 'components/toast.css';
 @import 'components/loading.css';
 @import 'components/menu.css';

static/js/api/apiConfig.js

@@ -29,7 +29,7 @@ export const MODEL_CONFIG = {
         defaultPageSize: 100,
         supportsLetterFilter: false,
         supportsBulkOperations: true,
-        supportsMove: false,
+        supportsMove: true,
         templateName: 'checkpoints.html'
     },
     [MODEL_TYPES.EMBEDDING]: {
@@ -55,7 +55,7 @@ export function getApiEndpoints(modelType) {
     
     return {
         // Base CRUD operations
-        list: `/api/${modelType}`,
+        list: `/api/${modelType}/list`,
         delete: `/api/${modelType}/delete`,
         exclude: `/api/${modelType}/exclude`,
         rename: `/api/${modelType}/rename`,
@@ -63,6 +63,10 @@ export function getApiEndpoints(modelType) {
         
         // Bulk operations
         bulkDelete: `/api/${modelType}/bulk-delete`,
+
+        // Move operations (now common for all model types that support move)
+        moveModel: `/api/${modelType}/move_model`,
+        moveBulk: `/api/${modelType}/move_models_bulk`,
         
         // CivitAI integration
         fetchCivitai: `/api/${modelType}/fetch-civitai`,
@@ -79,6 +83,8 @@ export function getApiEndpoints(modelType) {
         baseModels: `/api/${modelType}/base-models`,
         roots: `/api/${modelType}/roots`,
         folders: `/api/${modelType}/folders`,
+        folderTree: `/api/${modelType}/folder-tree`,
+        unifiedFolderTree: `/api/${modelType}/unified-folder-tree`,
         duplicates: `/api/${modelType}/find-duplicates`,
         conflicts: `/api/${modelType}/find-filename-conflicts`,
         verify: `/api/${modelType}/verify-duplicates`,
@@ -99,14 +105,14 @@ export const MODEL_SPECIFIC_ENDPOINTS = {
         previewUrl: `/api/${MODEL_TYPES.LORA}/preview-url`,
         civitaiUrl: `/api/${MODEL_TYPES.LORA}/civitai-url`,
         modelDescription: `/api/${MODEL_TYPES.LORA}/model-description`,
-        moveModel: `/api/${MODEL_TYPES.LORA}/move_model`,
-        moveBulk: `/api/${MODEL_TYPES.LORA}/move_models_bulk`,
         getTriggerWordsPost: `/api/${MODEL_TYPES.LORA}/get_trigger_words`,
         civitaiModelByVersion: `/api/${MODEL_TYPES.LORA}/civitai/model/version`,
         civitaiModelByHash: `/api/${MODEL_TYPES.LORA}/civitai/model/hash`,
     },
     [MODEL_TYPES.CHECKPOINT]: {
         info: `/api/${MODEL_TYPES.CHECKPOINT}/info`,
+        checkpoints_roots: `/api/${MODEL_TYPES.CHECKPOINT}/checkpoints_roots`,
+        unet_roots: `/api/${MODEL_TYPES.CHECKPOINT}/unet_roots`,
     },
     [MODEL_TYPES.EMBEDDING]: {
     }
@@ -159,7 +165,8 @@ export const DOWNLOAD_ENDPOINTS = {
     download: '/api/download-model',
     downloadGet: '/api/download-model-get',
     cancelGet: '/api/cancel-download-get',
-    progress: '/api/download-progress'
+    progress: '/api/download-progress',
+    exampleImages: '/api/force-download-example-images' // New endpoint for downloading example images
 };
 
 // WebSocket endpoints

static/js/api/baseModelApi.js

@@ -1,6 +1,6 @@
 import { state, getCurrentPageState } from '../state/index.js';
 import { showToast, updateFolderTags } from '../utils/uiHelpers.js';
-import { getSessionItem, saveMapToStorage } from '../utils/storageHelpers.js';
+import { getStorageItem, getSessionItem, saveMapToStorage } from '../utils/storageHelpers.js';
 import { 
     getCompleteApiConfig, 
     getCurrentModelType, 
@@ -8,12 +8,16 @@ import {
     DOWNLOAD_ENDPOINTS,
     WS_ENDPOINTS
 } from './apiConfig.js';
+import { resetAndReload } from './modelApiFactory.js';
 
 /**
- * Universal API client for all model types
+ * Abstract base class for all model API clients
  */
-class ModelApiClient {
+export class BaseModelApiClient {
     constructor(modelType = null) {
+        if (this.constructor === BaseModelApiClient) {
+            throw new Error("BaseModelApiClient is abstract and cannot be instantiated directly");
+        }
         this.modelType = modelType || getCurrentModelType();
         this.apiConfig = getCompleteApiConfig(this.modelType);
     }
@@ -42,9 +46,6 @@ class ModelApiClient {
         return pageState;
     }
 
-    /**
-     * Fetch models with pagination
-     */
     async fetchModelsPage(page = 1, pageSize = null) {
         const pageState = this.getPageState();
         const actualPageSize = pageSize || pageState.pageSize || this.apiConfig.config.defaultPageSize;
@@ -79,9 +80,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Reset and reload models with virtual scrolling
-     */
     async loadMoreWithVirtualScroll(resetPage = false, updateFolders = false) {
         const pageState = this.getPageState();
         
@@ -93,26 +91,27 @@ class ModelApiClient {
                 pageState.currentPage = 1; // Reset to first page
             }
             
-            // Fetch the current page
-            const startTime = performance.now();
             const result = await this.fetchModelsPage(pageState.currentPage, pageState.pageSize);
-            const endTime = performance.now();
-            console.log(`fetchModelsPage耗时: ${(endTime - startTime).toFixed(2)} ms`);
             
-            // Update the virtual scroller
             state.virtualScroller.refreshWithData(
                 result.items,
                 result.totalItems,
                 result.hasMore
             );
             
-            // Update state
             pageState.hasMore = result.hasMore;
             pageState.currentPage = pageState.currentPage + 1;
             
-            // Update folders if needed
-            if (updateFolders && result.folders) {
-                updateFolderTags(result.folders);
+            if (updateFolders) {
+                const response = await fetch(this.apiConfig.endpoints.folders);
+                if (response.ok) {
+                    const data = await response.json();
+                    updateFolderTags(data.folders);
+                } else {
+                    const errorData = await response.json().catch(() => ({}));
+                    const errorMsg = errorData && errorData.error ? errorData.error : response.statusText;
+                    console.error(`Error getting folders: ${errorMsg}`);
+                }
             }
             
             return result;
@@ -126,9 +125,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Delete a model
-     */
     async deleteModel(filePath) {
         try {
             state.loadingManager.showSimpleLoading(`Deleting ${this.apiConfig.config.singularName}...`);
@@ -163,9 +159,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Exclude a model
-     */
     async excludeModel(filePath) {
         try {
             state.loadingManager.showSimpleLoading(`Excluding ${this.apiConfig.config.singularName}...`);
@@ -200,9 +193,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Rename a model file
-     */
     async renameModelFile(filePath, newFileName) {
         try {
             state.loadingManager.showSimpleLoading(`Renaming ${this.apiConfig.config.singularName} file...`);
@@ -239,9 +229,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Replace model preview
-     */
     replaceModelPreview(filePath) {
         const input = document.createElement('input');
         input.type = 'file';
@@ -257,9 +244,6 @@ class ModelApiClient {
         input.click();
     }
 
-    /**
-     * Upload preview image
-     */
     async uploadPreview(filePath, file, nsfwLevel = 0) {
         try {
             state.loadingManager.showSimpleLoading('Uploading preview...');
@@ -281,7 +265,6 @@ class ModelApiClient {
             const data = await response.json();
             const pageState = this.getPageState();
             
-            // Update the version timestamp
             const timestamp = Date.now();
             if (pageState.previewVersions) {
                 pageState.previewVersions.set(filePath, timestamp);
@@ -305,9 +288,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Save model metadata
-     */
     async saveModelMetadata(filePath, data) {
         try {
             state.loadingManager.showSimpleLoading('Saving metadata...');
@@ -332,9 +312,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Refresh models (scan)
-     */
     async refreshModels(fullRebuild = false) {
         try {
             state.loadingManager.showSimpleLoading(
@@ -349,6 +326,8 @@ class ModelApiClient {
             if (!response.ok) {
                 throw new Error(`Failed to refresh ${this.apiConfig.config.displayName}s: ${response.status} ${response.statusText}`);
             }
+
+            resetAndReload(true);
             
             showToast(`${fullRebuild ? 'Full rebuild' : 'Refresh'} complete`, 'success');
         } catch (error) {
@@ -360,9 +339,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Fetch CivitAI metadata for single model
-     */
     async refreshSingleModelMetadata(filePath) {
         try {
             state.loadingManager.showSimpleLoading('Refreshing metadata...');
@@ -399,9 +375,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Fetch CivitAI metadata for all models
-     */
     async fetchCivitaiMetadata() {
         let ws = null;
         
@@ -462,7 +435,9 @@ class ModelApiClient {
                 }
                 
                 await operationComplete;
-                
+
+                resetAndReload(false);
+                showToast('Metadata update complete', 'success');
             } catch (error) {
                 console.error('Error fetching metadata:', error);
                 showToast('Failed to fetch metadata: ' + error.message, 'error');
@@ -477,9 +452,6 @@ class ModelApiClient {
         });
     }
 
-    /**
-     * Fetch CivitAI metadata for multiple models with progress tracking
-     */
     async refreshBulkModelMetadata(filePaths) {
         if (!filePaths || filePaths.length === 0) {
             throw new Error('No file paths provided');
@@ -493,7 +465,6 @@ class ModelApiClient {
         const progressController = state.loadingManager.showEnhancedProgress('Starting metadata refresh...');
 
         try {
-            // Process files sequentially to avoid overwhelming the API
             for (let i = 0; i < filePaths.length; i++) {
                 const filePath = filePaths[i];
                 const fileName = filePath.split('/').pop();
@@ -535,7 +506,6 @@ class ModelApiClient {
                 processedCount++;
             }
 
-            // Show completion message
             let completionMessage;
             if (successCount === totalItems) {
                 completionMessage = `Successfully refreshed all ${successCount} ${this.apiConfig.config.displayName}s`;
@@ -575,113 +545,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Move a single model to target path
-     * @returns {string|null} - The new file path if moved, null if not moved
-     */
-    async moveSingleModel(filePath, targetPath) {
-        if (filePath.substring(0, filePath.lastIndexOf('/')) === targetPath) {
-            showToast('Model is already in the selected folder', 'info');
-            return null;
-        }
-
-        const response = await fetch(this.apiConfig.endpoints.specific.moveModel, {
-            method: 'POST',
-            headers: {
-                'Content-Type': 'application/json',
-            },
-            body: JSON.stringify({
-                file_path: filePath,
-                target_path: targetPath
-            })
-        });
-
-        const result = await response.json();
-
-        if (!response.ok) {
-            if (result && result.error) {
-                throw new Error(result.error);
-            }
-            throw new Error('Failed to move model');
-        }
-
-        if (result && result.message) {
-            showToast(result.message, 'info');
-        } else {
-            showToast('Model moved successfully', 'success');
-        }
-
-        // Return new file path if move succeeded
-        if (result.success) {
-            return result.new_file_path;
-        }
-        return null;
-    }
-
-    /**
-     * Move multiple models to target path
-     * @returns {Array<string>} - Array of new file paths that were moved successfully
-     */
-    async moveBulkModels(filePaths, targetPath) {
-        const movedPaths = filePaths.filter(path => {
-            return path.substring(0, path.lastIndexOf('/')) !== targetPath;
-        });
-
-        if (movedPaths.length === 0) {
-            showToast('All selected models are already in the target folder', 'info');
-            return [];
-        }
-
-        const response = await fetch(this.apiConfig.endpoints.specific.moveBulk, {
-            method: 'POST',
-            headers: {
-                'Content-Type': 'application/json',
-            },
-            body: JSON.stringify({
-                file_paths: movedPaths,
-                target_path: targetPath
-            })
-        });
-
-        const result = await response.json();
-
-        if (!response.ok) {
-            throw new Error('Failed to move models');
-        }
-
-        let successFilePaths = [];
-        if (result.success) {
-            if (result.failure_count > 0) {
-                showToast(`Moved ${result.success_count} models, ${result.failure_count} failed`, 'warning');
-                console.log('Move operation results:', result.results);
-                const failedFiles = result.results
-                    .filter(r => !r.success)
-                    .map(r => {
-                        const fileName = r.path.substring(r.path.lastIndexOf('/') + 1);
-                        return `${fileName}: ${r.message}`;
-                    });
-                if (failedFiles.length > 0) {
-                    const failureMessage = failedFiles.length <= 3 
-                        ? failedFiles.join('\n')
-                        : failedFiles.slice(0, 3).join('\n') + `\n(and ${failedFiles.length - 3} more)`;
-                    showToast(`Failed moves:\n${failureMessage}`, 'warning', 6000);
-                }
-            } else {
-                showToast(`Successfully moved ${result.success_count} models`, 'success');
-            }
-            // Collect new file paths for successful moves
-            successFilePaths = result.results
-                .filter(r => r.success)
-                .map(r => r.path);
-        } else {
-            throw new Error(result.message || 'Failed to move models');
-        }
-        return successFilePaths;
-    }
-
-    /**
-     * Fetch Civitai model versions
-     */
     async fetchCivitaiVersions(modelId) {
         try {
             const response = await fetch(`${this.apiConfig.endpoints.civitaiVersions}/${modelId}`);
@@ -699,9 +562,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Fetch model roots
-     */
     async fetchModelRoots() {
         try {
             const response = await fetch(this.apiConfig.endpoints.roots);
@@ -715,9 +575,6 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Fetch model folders
-     */
     async fetchModelFolders() {
         try {
             const response = await fetch(this.apiConfig.endpoints.folders);
@@ -731,10 +588,34 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Download a model
-     */
-    async downloadModel(modelId, versionId, modelRoot, relativePath, downloadId) {
+    async fetchUnifiedFolderTree() {
+        try {
+            const response = await fetch(this.apiConfig.endpoints.unifiedFolderTree);
+            if (!response.ok) {
+                throw new Error(`Failed to fetch unified folder tree`);
+            }
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching unified folder tree:', error);
+            throw error;
+        }
+    }
+
+    async fetchFolderTree(modelRoot) {
+        try {
+            const params = new URLSearchParams({ model_root: modelRoot });
+            const response = await fetch(`${this.apiConfig.endpoints.folderTree}?${params}`);
+            if (!response.ok) {
+                throw new Error(`Failed to fetch folder tree for root: ${modelRoot}`);
+            }
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching folder tree:', error);
+            throw error;
+        }
+    }
+
+    async downloadModel(modelId, versionId, modelRoot, relativePath, useDefaultPaths = false, downloadId) {
         try {
             const response = await fetch(DOWNLOAD_ENDPOINTS.download, {
                 method: 'POST',
@@ -744,6 +625,7 @@ class ModelApiClient {
                     model_version_id: versionId,
                     model_root: modelRoot,
                     relative_path: relativePath,
+                    use_default_paths: useDefaultPaths,
                     download_id: downloadId
                 })
             });
@@ -759,13 +641,9 @@ class ModelApiClient {
         }
     }
 
-    /**
-     * Build query parameters for API requests
-     */
     _buildQueryParams(baseParams, pageState) {
         const params = new URLSearchParams(baseParams);
         
-        // Add common parameters
         if (pageState.activeFolder !== null) {
             params.append('folder', pageState.activeFolder);
         }
@@ -774,12 +652,10 @@ class ModelApiClient {
             params.append('favorites_only', 'true');
         }
         
-        // Add letter filter for supported model types
         if (this.apiConfig.config.supportsLetterFilter && pageState.activeLetterFilter) {
             params.append('first_letter', pageState.activeLetterFilter);
         }
 
-        // Add search parameters
         if (pageState.filters?.search) {
             params.append('search', pageState.filters.search);
             params.append('fuzzy', 'true');
@@ -790,11 +666,13 @@ class ModelApiClient {
                 if (pageState.searchOptions.tags !== undefined) {
                     params.append('search_tags', pageState.searchOptions.tags.toString());
                 }
+                if (pageState.searchOptions.creator !== undefined) {
+                    params.append('search_creator', pageState.searchOptions.creator.toString());
+                }
                 params.append('recursive', (pageState.searchOptions?.recursive ?? false).toString());
             }
         }
         
-        // Add filter parameters
         if (pageState.filters) {
             if (pageState.filters.tags && pageState.filters.tags.length > 0) {
                 pageState.filters.tags.forEach(tag => {
@@ -809,17 +687,12 @@ class ModelApiClient {
             }
         }
 
-        // Add model-specific parameters
         this._addModelSpecificParams(params, pageState);
 
         return params;
     }
 
-    /**
-     * Add model-specific parameters to query
-     */
     _addModelSpecificParams(params, pageState) {
-        // Override in specific implementations or handle via configuration
         if (this.modelType === 'loras') {
             const filterLoraHash = getSessionItem('recipe_to_lora_filterLoraHash');
             const filterLoraHashes = getSessionItem('recipe_to_lora_filterLoraHashes');
@@ -837,23 +710,247 @@ class ModelApiClient {
             }
         }
     }
-}
 
-// Export factory functions and utilities
-export function createModelApiClient(modelType = null) {
-    return new ModelApiClient(modelType);
-}
+    async moveSingleModel(filePath, targetPath) {
+        // Only allow move if supported
+        if (!this.apiConfig.config.supportsMove) {
+            showToast(`Moving ${this.apiConfig.config.displayName}s is not supported`, 'warning');
+            return null;
+        }
+        if (filePath.substring(0, filePath.lastIndexOf('/')) === targetPath) {
+            showToast(`${this.apiConfig.config.displayName} is already in the selected folder`, 'info');
+            return null;
+        }
 
-let _singletonClient = null;
+        const response = await fetch(this.apiConfig.endpoints.moveModel, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+            },
+            body: JSON.stringify({
+                file_path: filePath,
+                target_path: targetPath
+            })
+        });
 
-export function getModelApiClient() {
-    if (!_singletonClient) {
-        _singletonClient = new ModelApiClient();
+        const result = await response.json();
+
+        if (!response.ok) {
+            if (result && result.error) {
+                throw new Error(result.error);
+            }
+            throw new Error(`Failed to move ${this.apiConfig.config.displayName}`);
+        }
+
+        if (result && result.message) {
+            showToast(result.message, 'info');
+        } else {
+            showToast(`${this.apiConfig.config.displayName} moved successfully`, 'success');
+        }
+
+        if (result.success) {
+            return result.new_file_path;
+        }
+        return null;
     }
-    _singletonClient.setModelType(state.currentPageType);
-    return _singletonClient;
-}
 
-export async function resetAndReload(updateFolders = false) {
-    return getModelApiClient().loadMoreWithVirtualScroll(true, updateFolders);
+    async moveBulkModels(filePaths, targetPath) {
+        if (!this.apiConfig.config.supportsMove) {
+            showToast(`Moving ${this.apiConfig.config.displayName}s is not supported`, 'warning');
+            return [];
+        }
+        const movedPaths = filePaths.filter(path => {
+            return path.substring(0, path.lastIndexOf('/')) !== targetPath;
+        });
+
+        if (movedPaths.length === 0) {
+            showToast(`All selected ${this.apiConfig.config.displayName}s are already in the target folder`, 'info');
+            return [];
+        }
+
+        const response = await fetch(this.apiConfig.endpoints.moveBulk, {
+            method: 'POST',
+            headers: {
+                'Content-Type': 'application/json',
+            },
+            body: JSON.stringify({
+                file_paths: movedPaths,
+                target_path: targetPath
+            })
+        });
+
+        const result = await response.json();
+
+        if (!response.ok) {
+            throw new Error(`Failed to move ${this.apiConfig.config.displayName}s`);
+        }
+
+        let successFilePaths = [];
+        if (result.success) {
+            if (result.failure_count > 0) {
+                showToast(`Moved ${result.success_count} ${this.apiConfig.config.displayName}s, ${result.failure_count} failed`, 'warning');
+                console.log('Move operation results:', result.results);
+                const failedFiles = result.results
+                    .filter(r => !r.success)
+                    .map(r => {
+                        const fileName = r.path.substring(r.path.lastIndexOf('/') + 1);
+                        return `${fileName}: ${r.message}`;
+                    });
+                if (failedFiles.length > 0) {
+                    const failureMessage = failedFiles.length <= 3 
+                        ? failedFiles.join('\n')
+                        : failedFiles.slice(0, 3).join('\n') + `\n(and ${failedFiles.length - 3} more)`;
+                    showToast(`Failed moves:\n${failureMessage}`, 'warning', 6000);
+                }
+            } else {
+                showToast(`Successfully moved ${result.success_count} ${this.apiConfig.config.displayName}s`, 'success');
+            }
+            successFilePaths = result.results
+                .filter(r => r.success)
+                .map(r => r.path);
+        } else {
+            throw new Error(result.message || `Failed to move ${this.apiConfig.config.displayName}s`);
+        }
+        return successFilePaths;
+    }
+
+    async bulkDeleteModels(filePaths) {
+        if (!filePaths || filePaths.length === 0) {
+            throw new Error('No file paths provided');
+        }
+
+        try {
+            state.loadingManager.showSimpleLoading(`Deleting ${this.apiConfig.config.displayName.toLowerCase()}s...`);
+            
+            const response = await fetch(this.apiConfig.endpoints.bulkDelete, {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json'
+                },
+                body: JSON.stringify({
+                    file_paths: filePaths
+                })
+            });
+            
+            if (!response.ok) {
+                throw new Error(`Failed to delete ${this.apiConfig.config.displayName.toLowerCase()}s: ${response.statusText}`);
+            }
+            
+            const result = await response.json();
+            
+            if (result.success) {
+                return {
+                    success: true,
+                    deleted_count: result.deleted_count,
+                    failed_count: result.failed_count || 0,
+                    errors: result.errors || []
+                };
+            } else {
+                throw new Error(result.error || `Failed to delete ${this.apiConfig.config.displayName.toLowerCase()}s`);
+            }
+        } catch (error) {
+            console.error(`Error during bulk delete of ${this.apiConfig.config.displayName.toLowerCase()}s:`, error);
+            throw error;
+        } finally {
+            state.loadingManager.hide();
+        }
+    }
+
+    async downloadExampleImages(modelHashes, modelTypes = null) {
+        let ws = null;
+        
+        await state.loadingManager.showWithProgress(async (loading) => {
+            try {
+                // Connect to WebSocket for progress updates
+                const wsProtocol = window.location.protocol === 'https:' ? 'wss://' : 'ws://';
+                ws = new WebSocket(`${wsProtocol}${window.location.host}${WS_ENDPOINTS.fetchProgress}`);
+                
+                const operationComplete = new Promise((resolve, reject) => {
+                    ws.onmessage = (event) => {
+                        const data = JSON.parse(event.data);
+                        
+                        if (data.type !== 'example_images_progress') return;
+                        
+                        switch(data.status) {
+                            case 'running':
+                                const percent = ((data.processed / data.total) * 100).toFixed(1);
+                                loading.setProgress(percent);
+                                loading.setStatus(
+                                    `Processing (${data.processed}/${data.total}) ${data.current_model || ''}`
+                                );
+                                break;
+                                
+                            case 'completed':
+                                loading.setProgress(100);
+                                loading.setStatus(
+                                    `Completed: Downloaded example images for ${data.processed} models`
+                                );
+                                resolve();
+                                break;
+                                
+                            case 'error':
+                                reject(new Error(data.error));
+                                break;
+                        }
+                    };
+                    
+                    ws.onerror = (error) => {
+                        reject(new Error('WebSocket error: ' + error.message));
+                    };
+                });
+                
+                // Wait for WebSocket connection to establish
+                await new Promise((resolve, reject) => {
+                    ws.onopen = resolve;
+                    ws.onerror = reject;
+                });
+                
+                // Get the output directory from storage
+                const outputDir = getStorageItem('example_images_path', '');
+                if (!outputDir) {
+                    throw new Error('Please set the example images path in the settings first.');
+                }
+                
+                // Determine optimize setting
+                const optimize = state.global?.settings?.optimizeExampleImages ?? true;
+                
+                // Make the API request to start the download process
+                const response = await fetch(DOWNLOAD_ENDPOINTS.exampleImages, {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({
+                        model_hashes: modelHashes,
+                        output_dir: outputDir,
+                        optimize: optimize,
+                        model_types: modelTypes || [this.apiConfig.config.singularName]
+                    })
+                });
+                
+                if (!response.ok) {
+                    const errorData = await response.json().catch(() => ({}));
+                    throw new Error(errorData.error || 'Failed to download example images');
+                }
+                
+                // Wait for the operation to complete via WebSocket
+                await operationComplete;
+                
+                showToast('Successfully downloaded example images!', 'success');
+                return true;
+                
+            } catch (error) {
+                console.error('Error downloading example images:', error);
+                showToast(`Failed to download example images: ${error.message}`, 'error');
+                throw error;
+            } finally {
+                if (ws) {
+                    ws.close();
+                }
+            }
+        }, {
+            initialMessage: 'Starting example images download...',
+            completionMessage: 'Example images download complete'
+        });
+    }
 }

static/js/api/checkpointApi.js

@@ -0,0 +1,93 @@
+import { BaseModelApiClient } from './baseModelApi.js';
+import { showToast } from '../utils/uiHelpers.js';
+
+/**
+ * Checkpoint-specific API client
+ */
+export class CheckpointApiClient extends BaseModelApiClient {
+    /**
+     * Get checkpoint information
+     */
+    async getCheckpointInfo(filePath) {
+        try {
+            const response = await fetch(this.apiConfig.endpoints.specific.info, {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json'
+                },
+                body: JSON.stringify({ file_path: filePath })
+            });
+            
+            if (!response.ok) {
+                throw new Error('Failed to fetch checkpoint info');
+            }
+            
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching checkpoint info:', error);
+            throw error;
+        }
+    }
+
+    /**
+     * Get checkpoint roots
+     */
+    async getCheckpointsRoots() {
+        try {
+            const response = await fetch(this.apiConfig.endpoints.specific.checkpoints_roots, {
+                method: 'GET'
+            });
+            if (!response.ok) {
+                throw new Error('Failed to fetch checkpoints roots');
+            }
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching checkpoints roots:', error);
+            throw error;
+        }
+    }
+
+    /**
+     * Get unet roots
+     */
+    async getUnetRoots() {
+        try {
+            const response = await fetch(this.apiConfig.endpoints.specific.unet_roots, {
+                method: 'GET'
+            });
+            if (!response.ok) {
+                throw new Error('Failed to fetch unet roots');
+            }
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching unet roots:', error);
+            throw error;
+        }
+    }
+
+    /**
+     * Get appropriate roots based on model type
+     */
+    async fetchModelRoots(modelType = 'checkpoint') {
+        try {
+            let response;
+            if (modelType === 'diffusion_model') {
+                response = await fetch(this.apiConfig.endpoints.specific.unet_roots, {
+                    method: 'GET'
+                });
+            } else {
+                response = await fetch(this.apiConfig.endpoints.specific.checkpoints_roots, {
+                    method: 'GET'
+                });
+            }
+            
+            if (!response.ok) {
+                throw new Error(`Failed to fetch ${modelType} roots`);
+            }
+            return await response.json();
+        } catch (error) {
+            console.error(`Error fetching ${modelType} roots:`, error);
+            throw error;
+        }
+    }
+}

static/js/api/embeddingApi.js

@@ -0,0 +1,8 @@
+import { BaseModelApiClient } from './baseModelApi.js';
+import { showToast } from '../utils/uiHelpers.js';
+
+/**
+ * Embedding-specific API client
+ */
+export class EmbeddingApiClient extends BaseModelApiClient {
+}

static/js/api/loraApi.js

@@ -0,0 +1,94 @@
+import { BaseModelApiClient } from './baseModelApi.js';
+import { showToast } from '../utils/uiHelpers.js';
+import { getSessionItem } from '../utils/storageHelpers.js';
+
+/**
+ * LoRA-specific API client
+ */
+export class LoraApiClient extends BaseModelApiClient {
+    /**
+     * Add LoRA-specific parameters to query
+     */
+    _addModelSpecificParams(params, pageState) {
+        const filterLoraHash = getSessionItem('recipe_to_lora_filterLoraHash');
+        const filterLoraHashes = getSessionItem('recipe_to_lora_filterLoraHashes');
+
+        if (filterLoraHash) {
+            params.append('lora_hash', filterLoraHash);
+        } else if (filterLoraHashes) {
+            try {
+                if (Array.isArray(filterLoraHashes) && filterLoraHashes.length > 0) {
+                    params.append('lora_hashes', filterLoraHashes.join(','));
+                }
+            } catch (error) {
+                console.error('Error parsing lora hashes from session storage:', error);
+            }
+        }
+    }
+
+    /**
+     * Get LoRA notes
+     */
+    async getLoraNote(filePath) {
+        try {
+            const response = await fetch(this.apiConfig.endpoints.specific.notes,
+                {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'application/json'
+                    },
+                    body: JSON.stringify({ file_path: filePath })
+                }
+            );
+            
+            if (!response.ok) {
+                throw new Error('Failed to fetch LoRA notes');
+            }
+            
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching LoRA notes:', error);
+            throw error;
+        }
+    }
+
+    /**
+     * Get LoRA trigger words
+     */
+    async getLoraTriggerWords(filePath) {
+        try {
+            const response = await fetch(this.apiConfig.endpoints.specific.triggerWords, {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json'
+                },
+                body: JSON.stringify({ file_path: filePath })
+            });
+            
+            if (!response.ok) {
+                throw new Error('Failed to fetch trigger words');
+            }
+            
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching trigger words:', error);
+            throw error;
+        }
+    }
+
+    /**
+     * Get letter counts for LoRAs
+     */
+    async getLetterCounts() {
+        try {
+            const response = await fetch(this.apiConfig.endpoints.specific.letterCounts);
+            if (!response.ok) {
+                throw new Error('Failed to fetch letter counts');
+            }
+            return await response.json();
+        } catch (error) {
+            console.error('Error fetching letter counts:', error);
+            throw error;
+        }
+    }
+}

static/js/api/modelApiFactory.js

@@ -0,0 +1,35 @@
+import { LoraApiClient } from './loraApi.js';
+import { CheckpointApiClient } from './checkpointApi.js';
+import { EmbeddingApiClient } from './embeddingApi.js';
+import { MODEL_TYPES } from './apiConfig.js';
+import { state } from '../state/index.js';
+
+export function createModelApiClient(modelType) {
+    switch (modelType) {
+        case MODEL_TYPES.LORA:
+            return new LoraApiClient();
+        case MODEL_TYPES.CHECKPOINT:
+            return new CheckpointApiClient();
+        case MODEL_TYPES.EMBEDDING:
+            return new EmbeddingApiClient();
+        default:
+            throw new Error(`Unsupported model type: ${modelType}`);
+    }
+}
+
+let _singletonClients = new Map();
+
+export function getModelApiClient(modelType = null) {
+    const targetType = modelType || state.currentPageType;
+    
+    if (!_singletonClients.has(targetType)) {
+        _singletonClients.set(targetType, createModelApiClient(targetType));
+    }
+    
+    return _singletonClients.get(targetType);
+}
+
+export function resetAndReload(updateFolders = false) {
+    const client = getModelApiClient();
+    return client.loadMoreWithVirtualScroll(true, updateFolders);
+}

static/js/components/ContextMenu/CheckpointContextMenu.js

@@ -1,8 +1,8 @@
 import { BaseContextMenu } from './BaseContextMenu.js';
 import { ModelContextMenuMixin } from './ModelContextMenuMixin.js';
-import { getModelApiClient, resetAndReload } from '../../api/baseModelApi.js';
-import { showToast } from '../../utils/uiHelpers.js';
+import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
 import { showDeleteModal, showExcludeModal } from '../../utils/modalUtils.js';
+import { moveManager } from '../../managers/MoveManager.js';
 
 export class CheckpointContextMenu extends BaseContextMenu {
     constructor() {
@@ -54,8 +54,7 @@ export class CheckpointContextMenu extends BaseContextMenu {
                 apiClient.refreshSingleModelMetadata(this.currentCard.dataset.filepath);
                 break;
             case 'move':
-                // Move to folder (placeholder)
-                showToast('Move to folder feature coming soon', 'info');
+                moveManager.showMoveModal(this.currentCard.dataset.filepath, this.currentCard.dataset.model_type);
                 break;
             case 'exclude':
                 showExcludeModal(this.currentCard.dataset.filepath);

static/js/components/ContextMenu/EmbeddingContextMenu.js

@@ -1,7 +1,7 @@
 import { BaseContextMenu } from './BaseContextMenu.js';
 import { ModelContextMenuMixin } from './ModelContextMenuMixin.js';
-import { getModelApiClient, resetAndReload } from '../../api/baseModelApi.js';
-import { showToast } from '../../utils/uiHelpers.js';
+import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
+import { moveManager } from '../../managers/MoveManager.js';
 import { showDeleteModal, showExcludeModal } from '../../utils/modalUtils.js';
 
 export class EmbeddingContextMenu extends BaseContextMenu {
@@ -54,8 +54,7 @@ export class EmbeddingContextMenu extends BaseContextMenu {
                 apiClient.refreshSingleModelMetadata(this.currentCard.dataset.filepath);
                 break;
             case 'move':
-                // Move to folder (placeholder)
-                showToast('Move to folder feature coming soon', 'info');
+                moveManager.showMoveModal(this.currentCard.dataset.filepath);
                 break;
             case 'exclude':
                 showExcludeModal(this.currentCard.dataset.filepath);

static/js/components/ContextMenu/LoraContextMenu.js

@@ -1,8 +1,9 @@
 import { BaseContextMenu } from './BaseContextMenu.js';
 import { ModelContextMenuMixin } from './ModelContextMenuMixin.js';
-import { getModelApiClient, resetAndReload } from '../../api/baseModelApi.js';
-import { copyToClipboard, sendLoraToWorkflow } from '../../utils/uiHelpers.js';
+import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
+import { copyLoraSyntax, sendLoraToWorkflow } from '../../utils/uiHelpers.js';
 import { showExcludeModal, showDeleteModal } from '../../utils/modalUtils.js';
+import { moveManager } from '../../managers/MoveManager.js';
 
 export class LoraContextMenu extends BaseContextMenu {
     constructor() {
@@ -36,7 +37,7 @@ export class LoraContextMenu extends BaseContextMenu {
                 break;
             case 'copyname':
                 // Generate and copy LoRA syntax
-                this.copyLoraSyntax();
+                copyLoraSyntax(this.currentCard);
                 break;
             case 'sendappend':
                 // Send LoRA to workflow (append mode)
@@ -66,16 +67,6 @@ export class LoraContextMenu extends BaseContextMenu {
         }
     }
 
-    // Specific LoRA methods
-    copyLoraSyntax() {
-        const card = this.currentCard;
-        const usageTips = JSON.parse(card.dataset.usage_tips || '{}');
-        const strength = usageTips.strength || 1;
-        const loraSyntax = `<lora:${card.dataset.file_name}:${strength}>`;
-        
-        copyToClipboard(loraSyntax, 'LoRA syntax copied to clipboard');
-    }
-
     sendLoraToWorkflow(replaceMode) {
         const card = this.currentCard;
         const usageTips = JSON.parse(card.dataset.usage_tips || '{}');

static/js/components/ContextMenu/ModelContextMenuMixin.js

@@ -1,6 +1,7 @@
 import { showToast, getNSFWLevelName, openExampleImagesFolder } from '../../utils/uiHelpers.js';
 import { modalManager } from '../../managers/ModalManager.js';
 import { state } from '../../state/index.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
 
 // Mixin with shared functionality for LoraContextMenu and CheckpointContextMenu
 export const ModelContextMenuMixin = {
@@ -202,6 +203,9 @@ export const ModelContextMenuMixin = {
             case 'preview':
                 openExampleImagesFolder(this.currentCard.dataset.sha256);
                 return true;
+            case 'download-examples':
+                this.downloadExampleImages();
+                return true;
             case 'civitai':
                 if (this.currentCard.dataset.from_civitai === 'true') {
                     if (this.currentCard.querySelector('.fa-globe')) {
@@ -222,5 +226,21 @@ export const ModelContextMenuMixin = {
             default:
                 return false;
         }
+    },
+
+    // Download example images method
+    async downloadExampleImages() {
+        const modelHash = this.currentCard.dataset.sha256;
+        if (!modelHash) {
+            showToast('Model hash not available', 'error');
+            return;
+        }
+
+        try { 
+            const apiClient = getModelApiClient();
+            await apiClient.downloadExampleImages([modelHash]);
+        } catch (error) {
+            console.error('Error downloading example images:', error);
+        }
     }
 };

static/js/components/FolderTreeManager.js

@@ -0,0 +1,585 @@
+/**
+ * FolderTreeManager - Manages folder tree UI for download modal
+ */
+export class FolderTreeManager {
+    constructor() {
+        this.treeData = {};
+        this.selectedPath = '';
+        this.expandedNodes = new Set();
+        this.pathSuggestions = [];
+        this.onPathChangeCallback = null;
+        this.activeSuggestionIndex = -1;
+        this.elementsPrefix = '';
+        
+        // Bind methods
+        this.handleTreeClick = this.handleTreeClick.bind(this);
+        this.handlePathInput = this.handlePathInput.bind(this);
+        this.handlePathSuggestionClick = this.handlePathSuggestionClick.bind(this);
+        this.handleCreateFolder = this.handleCreateFolder.bind(this);
+        this.handleBreadcrumbClick = this.handleBreadcrumbClick.bind(this);
+        this.handlePathKeyDown = this.handlePathKeyDown.bind(this);
+    }
+
+    /**
+     * Initialize the folder tree manager
+     * @param {Object} config - Configuration object
+     * @param {Function} config.onPathChange - Callback when path changes
+     * @param {string} config.elementsPrefix - Prefix for element IDs (e.g., 'move' for move modal)
+     */
+    init(config = {}) {
+        this.onPathChangeCallback = config.onPathChange;
+        this.elementsPrefix = config.elementsPrefix || '';
+        this.setupEventHandlers();
+    }
+
+    setupEventHandlers() {
+        const pathInput = document.getElementById(this.getElementId('folderPath'));
+        const createFolderBtn = document.getElementById(this.getElementId('createFolderBtn'));
+        const folderTree = document.getElementById(this.getElementId('folderTree'));
+        const breadcrumbNav = document.getElementById(this.getElementId('breadcrumbNav'));
+        const pathSuggestions = document.getElementById(this.getElementId('pathSuggestions'));
+
+        if (pathInput) {
+            pathInput.addEventListener('input', this.handlePathInput);
+            pathInput.addEventListener('keydown', this.handlePathKeyDown);
+        }
+
+        if (createFolderBtn) {
+            createFolderBtn.addEventListener('click', this.handleCreateFolder);
+        }
+
+        if (folderTree) {
+            folderTree.addEventListener('click', this.handleTreeClick);
+        }
+
+        if (breadcrumbNav) {
+            breadcrumbNav.addEventListener('click', this.handleBreadcrumbClick);
+        }
+
+        if (pathSuggestions) {
+            pathSuggestions.addEventListener('click', this.handlePathSuggestionClick);
+        }
+
+        // Hide suggestions when clicking outside
+        document.addEventListener('click', (e) => {
+            const pathInput = document.getElementById(this.getElementId('folderPath'));
+            const suggestions = document.getElementById(this.getElementId('pathSuggestions'));
+            
+            if (pathInput && suggestions && 
+                !pathInput.contains(e.target) && 
+                !suggestions.contains(e.target)) {
+                suggestions.style.display = 'none';
+                this.activeSuggestionIndex = -1;
+            }
+        });
+    }
+
+    /**
+     * Get element ID with prefix
+     */
+    getElementId(elementName) {
+        return this.elementsPrefix ? `${this.elementsPrefix}${elementName.charAt(0).toUpperCase()}${elementName.slice(1)}` : elementName;
+    }
+
+    /**
+     * Handle path input key events with enhanced keyboard navigation
+     */
+    handlePathKeyDown(event) {
+        const suggestions = document.getElementById(this.getElementId('pathSuggestions'));
+        const isVisible = suggestions && suggestions.style.display !== 'none';
+        
+        if (isVisible) {
+            const suggestionItems = suggestions.querySelectorAll('.path-suggestion');
+            const maxIndex = suggestionItems.length - 1;
+            
+            switch (event.key) {
+                case 'Escape':
+                    event.preventDefault();
+                    event.stopPropagation();
+                    this.hideSuggestions();
+                    this.activeSuggestionIndex = -1;
+                    break;
+                    
+                case 'ArrowDown':
+                    event.preventDefault();
+                    this.activeSuggestionIndex = Math.min(this.activeSuggestionIndex + 1, maxIndex);
+                    this.updateActiveSuggestion(suggestionItems);
+                    break;
+                    
+                case 'ArrowUp':
+                    event.preventDefault();
+                    this.activeSuggestionIndex = Math.max(this.activeSuggestionIndex - 1, -1);
+                    this.updateActiveSuggestion(suggestionItems);
+                    break;
+                    
+                case 'Enter':
+                    event.preventDefault();
+                    if (this.activeSuggestionIndex >= 0 && suggestionItems[this.activeSuggestionIndex]) {
+                        const path = suggestionItems[this.activeSuggestionIndex].dataset.path;
+                        this.selectPath(path);
+                        this.hideSuggestions();
+                    } else {
+                        this.selectCurrentInput();
+                    }
+                    break;
+            }
+        } else if (event.key === 'Enter') {
+            event.preventDefault();
+            this.selectCurrentInput();
+        }
+    }
+
+    /**
+     * Update active suggestion highlighting
+     */
+    updateActiveSuggestion(suggestionItems) {
+        suggestionItems.forEach((item, index) => {
+            item.classList.toggle('active', index === this.activeSuggestionIndex);
+            if (index === this.activeSuggestionIndex) {
+                item.scrollIntoView({ block: 'nearest' });
+            }
+        });
+    }
+
+    /**
+     * Load and render folder tree data
+     * @param {Object} treeData - Hierarchical tree data
+     */
+    async loadTree(treeData) {
+        this.treeData = treeData;
+        this.pathSuggestions = this.extractAllPaths(treeData);
+        this.renderTree();
+    }
+
+    /**
+     * Extract all paths from tree data for autocomplete
+     */
+    extractAllPaths(treeData, currentPath = '') {
+        const paths = [];
+        
+        for (const [folderName, children] of Object.entries(treeData)) {
+            const newPath = currentPath ? `${currentPath}/${folderName}` : folderName;
+            paths.push(newPath);
+            
+            if (Object.keys(children).length > 0) {
+                paths.push(...this.extractAllPaths(children, newPath));
+            }
+        }
+        
+        return paths.sort();
+    }
+
+    /**
+     * Render the complete folder tree
+     */
+    renderTree() {
+        const folderTree = document.getElementById(this.getElementId('folderTree'));
+        if (!folderTree) return;
+
+        // Show placeholder if treeData is empty
+        if (!this.treeData || Object.keys(this.treeData).length === 0) {
+            folderTree.innerHTML = `
+                <div class="folder-tree-placeholder" style="padding:24px;text-align:center;color:var(--text-color);opacity:0.7;">
+                    <i class="fas fa-folder-open" style="font-size:2em;opacity:0.5;"></i>
+                    <div>No folders found.<br/>You can create a new folder using the button above.</div>
+                </div>
+            `;
+            return;
+        }
+
+        folderTree.innerHTML = this.renderTreeNode(this.treeData, '');
+    }
+
+    /**
+     * Render a single tree node
+     */
+    renderTreeNode(nodeData, basePath) {
+        const entries = Object.entries(nodeData);
+        if (entries.length === 0) return '';
+        
+        return entries.map(([folderName, children]) => {
+            const currentPath = basePath ? `${basePath}/${folderName}` : folderName;
+            const hasChildren = Object.keys(children).length > 0;
+            const isExpanded = this.expandedNodes.has(currentPath);
+            const isSelected = this.selectedPath === currentPath;
+            
+            return `
+                <div class="tree-node ${hasChildren ? 'has-children' : ''}" data-path="${currentPath}">
+                    <div class="tree-node-content ${isSelected ? 'selected' : ''}">
+                        <div class="tree-expand-icon ${isExpanded ? 'expanded' : ''}" 
+                             style="${hasChildren ? '' : 'opacity: 0; pointer-events: none;'}">
+                            <i class="fas fa-chevron-right"></i>
+                        </div>
+                        <div class="tree-folder-icon">
+                            <i class="fas fa-folder"></i>
+                        </div>
+                        <div class="tree-folder-name">${folderName}</div>
+                    </div>
+                    ${hasChildren ? `
+                        <div class="tree-children ${isExpanded ? 'expanded' : ''}">
+                            ${this.renderTreeNode(children, currentPath)}
+                        </div>
+                    ` : ''}
+                </div>
+            `;
+        }).join('');
+    }
+
+    /**
+     * Handle tree node clicks
+     */
+    handleTreeClick(event) {
+        const expandIcon = event.target.closest('.tree-expand-icon');
+        const nodeContent = event.target.closest('.tree-node-content');
+        
+        if (expandIcon) {
+            // Toggle expand/collapse
+            const treeNode = expandIcon.closest('.tree-node');
+            const path = treeNode.dataset.path;
+            const children = treeNode.querySelector('.tree-children');
+            
+            if (this.expandedNodes.has(path)) {
+                this.expandedNodes.delete(path);
+                expandIcon.classList.remove('expanded');
+                if (children) children.classList.remove('expanded');
+            } else {
+                this.expandedNodes.add(path);
+                expandIcon.classList.add('expanded');
+                if (children) children.classList.add('expanded');
+            }
+        } else if (nodeContent) {
+            // Select folder
+            const treeNode = nodeContent.closest('.tree-node');
+            const path = treeNode.dataset.path;
+            this.selectPath(path);
+        }
+    }
+
+    /**
+     * Handle path input changes
+     */
+    handlePathInput(event) {
+        const input = event.target;
+        const query = input.value.toLowerCase();
+        
+        this.activeSuggestionIndex = -1; // Reset active suggestion
+        
+        if (query.length === 0) {
+            this.hideSuggestions();
+            return;
+        }
+        
+        const matches = this.pathSuggestions.filter(path => 
+            path.toLowerCase().includes(query)
+        ).slice(0, 10); // Limit to 10 suggestions
+        
+        this.showSuggestions(matches, query);
+    }
+
+    /**
+     * Show path suggestions
+     */
+    showSuggestions(suggestions, query) {
+        const suggestionsEl = document.getElementById(this.getElementId('pathSuggestions'));
+        if (!suggestionsEl) return;
+        
+        if (suggestions.length === 0) {
+            this.hideSuggestions();
+            return;
+        }
+        
+        suggestionsEl.innerHTML = suggestions.map(path => {
+            const highlighted = this.highlightMatch(path, query);
+            return `<div class="path-suggestion" data-path="${path}">${highlighted}</div>`;
+        }).join('');
+        
+        suggestionsEl.style.display = 'block';
+        this.activeSuggestionIndex = -1; // Reset active index
+    }
+
+    /**
+     * Hide path suggestions
+     */
+    hideSuggestions() {
+        const suggestionsEl = document.getElementById(this.getElementId('pathSuggestions'));
+        if (suggestionsEl) {
+            suggestionsEl.style.display = 'none';
+        }
+    }
+
+    /**
+     * Highlight matching text in suggestions
+     */
+    highlightMatch(text, query) {
+        const index = text.toLowerCase().indexOf(query.toLowerCase());
+        if (index === -1) return text;
+        
+        return text.substring(0, index) + 
+               `<strong>${text.substring(index, index + query.length)}</strong>` + 
+               text.substring(index + query.length);
+    }
+
+    /**
+     * Handle suggestion clicks
+     */
+    handlePathSuggestionClick(event) {
+        const suggestion = event.target.closest('.path-suggestion');
+        if (suggestion) {
+            const path = suggestion.dataset.path;
+            this.selectPath(path);
+            this.hideSuggestions();
+        }
+    }
+
+    /**
+     * Handle create folder button click
+     */
+    handleCreateFolder() {
+        const currentPath = this.selectedPath;
+        this.showCreateFolderForm(currentPath);
+    }
+
+    /**
+     * Show inline create folder form
+     */
+    showCreateFolderForm(parentPath) {
+        // Find the parent node in the tree
+        const parentNode = parentPath ? 
+            document.querySelector(`[data-path="${parentPath}"]`) : 
+            document.getElementById(this.getElementId('folderTree'));
+        
+        if (!parentNode) return;
+        
+        // Check if form already exists
+        if (parentNode.querySelector('.create-folder-form')) return;
+        
+        const form = document.createElement('div');
+        form.className = 'create-folder-form';
+        form.innerHTML = `
+            <input type="text" placeholder="New folder name" class="new-folder-input" />
+            <button type="button" class="confirm">✓</button>
+            <button type="button" class="cancel">✗</button>
+        `;
+        
+        const input = form.querySelector('.new-folder-input');
+        const confirmBtn = form.querySelector('.confirm');
+        const cancelBtn = form.querySelector('.cancel');
+        
+        confirmBtn.addEventListener('click', () => {
+            const folderName = input.value.trim();
+            if (folderName) {
+                this.createFolder(parentPath, folderName);
+            }
+            form.remove();
+        });
+        
+        cancelBtn.addEventListener('click', () => {
+            form.remove();
+        });
+        
+        input.addEventListener('keydown', (e) => {
+            if (e.key === 'Enter') {
+                confirmBtn.click();
+            } else if (e.key === 'Escape') {
+                cancelBtn.click();
+            }
+        });
+        
+        if (parentPath) {
+            // Add to children area
+            const childrenEl = parentNode.querySelector('.tree-children');
+            if (childrenEl) {
+                childrenEl.appendChild(form);
+            } else {
+                parentNode.appendChild(form);
+            }
+        } else {
+            // Add to root
+            parentNode.appendChild(form);
+        }
+        
+        input.focus();
+    }
+
+    /**
+     * Create new folder
+     */
+    createFolder(parentPath, folderName) {
+        const newPath = parentPath ? `${parentPath}/${folderName}` : folderName;
+        
+        // Add to tree data
+        const pathParts = newPath.split('/');
+        let current = this.treeData;
+        
+        for (const part of pathParts) {
+            if (!current[part]) {
+                current[part] = {};
+            }
+            current = current[part];
+        }
+        
+        // Update suggestions
+        this.pathSuggestions = this.extractAllPaths(this.treeData);
+        
+        // Expand parent if needed
+        if (parentPath) {
+            this.expandedNodes.add(parentPath);
+        }
+        
+        // Re-render tree
+        this.renderTree();
+        
+        // Select the new folder
+        this.selectPath(newPath);
+    }
+
+    /**
+     * Handle breadcrumb navigation clicks
+     */
+    handleBreadcrumbClick(event) {
+        const breadcrumbItem = event.target.closest('.breadcrumb-item');
+        if (breadcrumbItem) {
+            const path = breadcrumbItem.dataset.path;
+            this.selectPath(path);
+        }
+    }
+
+    /**
+     * Select a path and update UI
+     */
+    selectPath(path) {
+        this.selectedPath = path;
+        
+        // Update path input
+        const pathInput = document.getElementById(this.getElementId('folderPath'));
+        if (pathInput) {
+            pathInput.value = path;
+        }
+        
+        // Update tree selection
+        const treeContainer = document.getElementById(this.getElementId('folderTree'));
+        if (treeContainer) {
+            treeContainer.querySelectorAll('.tree-node-content').forEach(node => {
+                node.classList.remove('selected');
+            });
+            
+            const selectedNode = treeContainer.querySelector(`[data-path="${path}"] .tree-node-content`);
+            if (selectedNode) {
+                selectedNode.classList.add('selected');
+                
+                // Expand parents to show selection
+                this.expandPathParents(path);
+            }
+        }
+        
+        // Update breadcrumbs
+        this.updateBreadcrumbs(path);
+        
+        // Trigger callback
+        if (this.onPathChangeCallback) {
+            this.onPathChangeCallback(path);
+        }
+    }
+
+    /**
+     * Expand all parent nodes of a given path
+     */
+    expandPathParents(path) {
+        const parts = path.split('/');
+        let currentPath = '';
+        
+        for (let i = 0; i < parts.length - 1; i++) {
+            currentPath = currentPath ? `${currentPath}/${parts[i]}` : parts[i];
+            this.expandedNodes.add(currentPath);
+        }
+        
+        this.renderTree();
+    }
+
+    /**
+     * Update breadcrumb navigation
+     */
+    updateBreadcrumbs(path) {
+        const breadcrumbNav = document.getElementById(this.getElementId('breadcrumbNav'));
+        if (!breadcrumbNav) return;
+        
+        const parts = path ? path.split('/') : [];
+        let currentPath = '';
+        
+        const breadcrumbs = [`
+            <span class="breadcrumb-item ${!path ? 'active' : ''}" data-path="">
+                <i class="fas fa-home"></i> Root
+            </span>
+        `];
+        
+        parts.forEach((part, index) => {
+            currentPath = currentPath ? `${currentPath}/${part}` : part;
+            const isLast = index === parts.length - 1;
+            
+            if (index > 0) {
+                breadcrumbs.push(`<span class="breadcrumb-separator">/</span>`);
+            }
+            
+            breadcrumbs.push(`
+                <span class="breadcrumb-item ${isLast ? 'active' : ''}" data-path="${currentPath}">
+                    ${part}
+                </span>
+            `);
+        });
+        
+        breadcrumbNav.innerHTML = breadcrumbs.join('');
+    }
+
+    /**
+     * Select current input value as path
+     */
+    selectCurrentInput() {
+        const pathInput = document.getElementById(this.getElementId('folderPath'));
+        if (pathInput) {
+            const path = pathInput.value.trim();
+            this.selectPath(path);
+        }
+    }
+
+    /**
+     * Get the currently selected path
+     */
+    getSelectedPath() {
+        return this.selectedPath;
+    }
+
+    /**
+     * Clear selection
+     */
+    clearSelection() {
+        this.selectPath('');
+    }
+
+    /**
+     * Clean up event handlers
+     */
+    destroy() {
+        const pathInput = document.getElementById(this.getElementId('folderPath'));
+        const createFolderBtn = document.getElementById(this.getElementId('createFolderBtn'));
+        const folderTree = document.getElementById(this.getElementId('folderTree'));
+        const breadcrumbNav = document.getElementById(this.getElementId('breadcrumbNav'));
+        const pathSuggestions = document.getElementById(this.getElementId('pathSuggestions'));
+
+        if (pathInput) {
+            pathInput.removeEventListener('input', this.handlePathInput);
+            pathInput.removeEventListener('keydown', this.handlePathKeyDown);
+        }
+        if (createFolderBtn) {
+            createFolderBtn.removeEventListener('click', this.handleCreateFolder);
+        }
+        if (folderTree) {
+            folderTree.removeEventListener('click', this.handleTreeClick);
+        }
+        if (breadcrumbNav) {
+            breadcrumbNav.removeEventListener('click', this.handleBreadcrumbClick);
+        }
+        if (pathSuggestions) {
+            pathSuggestions.removeEventListener('click', this.handlePathSuggestionClick);
+        }
+    }
+}

static/js/components/Header.js

@@ -16,7 +16,9 @@ export class HeaderManager {
       this.filterManager = null;
       
       // Initialize appropriate managers based on current page
-      this.initializeManagers();
+      if (this.currentPage !== 'statistics') {
+        this.initializeManagers();
+      }
       
       // Set up common header functionality
       this.initializeCommonElements();
@@ -37,11 +39,8 @@ export class HeaderManager {
       this.searchManager = new SearchManager({ page: this.currentPage });
       window.searchManager = this.searchManager;
       
-      // Initialize FilterManager for all page types that have filters
-      if (document.getElementById('filterButton')) {
-        this.filterManager = new FilterManager({ page: this.currentPage });
-        window.filterManager = this.filterManager;
-      }
+      this.filterManager = new FilterManager({ page: this.currentPage });
+      window.filterManager = this.filterManager;
     }
     
     initializeCommonElements() {

static/js/components/ModelDuplicatesManager.js

@@ -2,8 +2,8 @@
 import { showToast } from '../utils/uiHelpers.js';
 import { state, getCurrentPageState } from '../state/index.js';
 import { formatDate } from '../utils/formatters.js';
-import { resetAndReload} from '../api/baseModelApi.js';
-import { LoadingManager } from '../managers/LoadingManager.js';
+import { resetAndReload} from '../api/modelApiFactory.js';
+import { getShowDuplicatesNotification, setShowDuplicatesNotification } from '../utils/storageHelpers.js';
 
 export class ModelDuplicatesManager {
     constructor(pageManager, modelType = 'loras') {
@@ -12,13 +12,21 @@ export class ModelDuplicatesManager {
         this.inDuplicateMode = false;
         this.selectedForDeletion = new Set();
         this.modelType = modelType; // Use the provided modelType or default to 'loras'
-        
+
         // Verification tracking
         this.verifiedGroups = new Set(); // Track which groups have been verified
         this.mismatchedFiles = new Map(); // Map file paths to actual hashes for mismatched files
         
-        // Loading manager for verification process
-        this.loadingManager = new LoadingManager();
+        // Badge visibility preference
+        this.showBadge = getShowDuplicatesNotification(); // Default to true (show badge)
+        
+        // Event handler references for cleanup
+        this.badgeToggleHandler = null;
+        this.helpTooltipHandlers = {
+            mouseenter: null,
+            mouseleave: null,
+            click: null
+        };
         
         // Bind methods
         this.renderModelCard = this.renderModelCard.bind(this);
@@ -66,7 +74,16 @@ export class ModelDuplicatesManager {
         const badge = document.getElementById('duplicatesBadge');
         if (!badge) return;
         
+        // Check if badge should be hidden based on user preference
+        if (!this.showBadge && !this.inDuplicateMode) {
+            badge.style.display = 'none';
+            badge.textContent = '';
+            badge.classList.remove('pulse');
+            return;
+        }
+        
         if (count > 0) {
+            badge.style.display = 'inline-flex';
             badge.textContent = count;
             badge.classList.add('pulse');
         } else {
@@ -136,6 +153,9 @@ export class ModelDuplicatesManager {
             
             // Setup help tooltip behavior
             this.setupHelpTooltip();
+            
+            // Setup badge toggle control
+            this.setupBadgeToggle();
         }
         
         // Disable virtual scrolling if active
@@ -173,6 +193,9 @@ export class ModelDuplicatesManager {
         const pageState = getCurrentPageState();
         pageState.duplicatesMode = false;
         
+        // Clean up event handlers before hiding banner
+        this.cleanupEventHandlers();
+        
         // Hide duplicates banner
         const banner = document.getElementById('duplicatesBanner');
         if (banner) {
@@ -672,7 +695,11 @@ export class ModelDuplicatesManager {
       
       if (!helpIcon || !helpTooltip) return;
       
-      helpIcon.addEventListener('mouseenter', (e) => {
+      // Clean up existing handlers first
+      this.cleanupHelpTooltipHandlers();
+      
+      // Create new handler functions and store references
+      this.helpTooltipHandlers.mouseenter = (e) => {
           // Get the container's positioning context
           const bannerContent = helpIcon.closest('.banner-content');
           
@@ -693,18 +720,22 @@ export class ModelDuplicatesManager {
               // Reposition relative to container if too close to right edge
               helpTooltip.style.left = `${bannerContent.offsetWidth - tooltipRect.width - 20}px`;
           }
-      });
+      };
       
-      // Rest of the event listeners remain unchanged
-      helpIcon.addEventListener('mouseleave', () => {
+      this.helpTooltipHandlers.mouseleave = () => {
           helpTooltip.style.display = 'none';
-      });
+      };
       
-      document.addEventListener('click', (e) => {
+      this.helpTooltipHandlers.click = (e) => {
           if (!helpIcon.contains(e.target)) {
               helpTooltip.style.display = 'none';
           }
-      });
+      };
+      
+      // Add event listeners
+      helpIcon.addEventListener('mouseenter', this.helpTooltipHandlers.mouseenter);
+      helpIcon.addEventListener('mouseleave', this.helpTooltipHandlers.mouseleave);
+      document.addEventListener('click', this.helpTooltipHandlers.click);
     }
 
     // Handle verify hashes button click
@@ -719,7 +750,7 @@ export class ModelDuplicatesManager {
             }
             
             // Show loading state
-            this.loadingManager.showSimpleLoading('Verifying hashes...');
+            state.loadingManager.showSimpleLoading('Verifying hashes...');
             
             // Get file paths for all models in the group
             const filePaths = group.models.map(model => model.file_path);
@@ -772,7 +803,87 @@ export class ModelDuplicatesManager {
             showToast('Failed to verify hashes: ' + error.message, 'error');
         } finally {
             // Hide loading state
-            this.loadingManager.hide();
+            state.loadingManager.hide();
+        }
+    }
+    
+    // Add this new method for badge toggle setup
+    setupBadgeToggle() {
+        const toggleControl = document.getElementById('badgeToggleControl');
+        const toggleInput = document.getElementById('badgeToggleInput');
+        
+        if (!toggleControl || !toggleInput) return;
+        
+        // Clean up existing handler first
+        this.cleanupBadgeToggleHandler();
+        
+        // Set initial state based on stored preference (default to true/checked)
+        toggleInput.checked = this.showBadge;
+        
+        // Create and store the handler function
+        this.badgeToggleHandler = (e) => {
+            this.showBadge = e.target.checked;
+            setShowDuplicatesNotification(this.showBadge);
+            
+            // Update badge visibility immediately if not in duplicate mode
+            if (!this.inDuplicateMode) {
+                this.updateDuplicatesBadge(this.duplicateGroups.length);
+            }
+            
+            showToast(
+                this.showBadge ? 'Duplicates notification will be shown' : 'Duplicates notification will be hidden',
+                'info'
+            );
+        };
+        
+        // Add change event listener
+        toggleInput.addEventListener('change', this.badgeToggleHandler);
+    }
+    
+    // Clean up all event handlers
+    cleanupEventHandlers() {
+        this.cleanupBadgeToggleHandler();
+        this.cleanupHelpTooltipHandlers();
+    }
+    
+    // Clean up badge toggle event handler
+    cleanupBadgeToggleHandler() {
+        if (this.badgeToggleHandler) {
+            const toggleInput = document.getElementById('badgeToggleInput');
+            if (toggleInput) {
+                toggleInput.removeEventListener('change', this.badgeToggleHandler);
+            }
+            this.badgeToggleHandler = null;
+        }
+    }
+    
+    // Clean up help tooltip event handlers
+    cleanupHelpTooltipHandlers() {
+        const helpIcon = document.getElementById('duplicatesHelp');
+        
+        if (helpIcon && this.helpTooltipHandlers.mouseenter) {
+            helpIcon.removeEventListener('mouseenter', this.helpTooltipHandlers.mouseenter);
+        }
+        
+        if (helpIcon && this.helpTooltipHandlers.mouseleave) {
+            helpIcon.removeEventListener('mouseleave', this.helpTooltipHandlers.mouseleave);
+        }
+        
+        if (this.helpTooltipHandlers.click) {
+            document.removeEventListener('click', this.helpTooltipHandlers.click);
+        }
+        
+        // Reset handler references
+        this.helpTooltipHandlers = {
+            mouseenter: null,
+            mouseleave: null,
+            click: null
+        };
+        
+        // Hide tooltip if it's visible
+        const helpTooltip = document.getElementById('duplicatesHelpTooltip');
+        if (helpTooltip) {
+            helpTooltip.style.display = 'none';
         }
     }
 }

static/js/components/RecipeModal.js

@@ -2,7 +2,6 @@
 import { showToast, copyToClipboard } from '../utils/uiHelpers.js';
 import { state } from '../state/index.js';
 import { setSessionItem, removeSessionItem } from '../utils/storageHelpers.js';
-import { updateRecipeCard } from '../utils/cardUpdater.js';
 import { updateRecipeMetadata } from '../api/recipeApi.js';
 
 class RecipeModal {
@@ -879,7 +878,7 @@ class RecipeModal {
                         
                         // Model identifiers
                         hash: modelFile?.hashes?.SHA256?.toLowerCase() || lora.hash,
-                        modelVersionId: civitaiInfo.id || lora.modelVersionId,
+                        id: civitaiInfo.id || lora.modelVersionId,
                         
                         // Metadata
                         thumbnailUrl: civitaiInfo.images?.[0]?.url || '',

static/js/components/alphabet/AlphabetBar.js

@@ -1,7 +1,7 @@
 // AlphabetBar.js - Component for alphabet filtering
 import { getCurrentPageState } from '../../state/index.js';
 import { getStorageItem, setStorageItem } from '../../utils/storageHelpers.js';
-import { resetAndReload } from '../../api/baseModelApi.js';
+import { resetAndReload } from '../../api/modelApiFactory.js';
 
 /**
  * AlphabetBar class - Handles the alphabet filtering UI and interactions

static/js/components/controls/CheckpointsControls.js

@@ -1,6 +1,6 @@
 // CheckpointsControls.js - Specific implementation for the Checkpoints page
 import { PageControls } from './PageControls.js';
-import { getModelApiClient, resetAndReload } from '../../api/baseModelApi.js';
+import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
 import { showToast } from '../../utils/uiHelpers.js';
 import { downloadManager } from '../../managers/DownloadManager.js';
 

static/js/components/controls/EmbeddingsControls.js

@@ -1,6 +1,6 @@
 // EmbeddingsControls.js - Specific implementation for the Embeddings page
 import { PageControls } from './PageControls.js';
-import { getModelApiClient, resetAndReload } from '../../api/baseModelApi.js';
+import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
 import { showToast } from '../../utils/uiHelpers.js';
 import { downloadManager } from '../../managers/DownloadManager.js';
 

static/js/components/controls/LorasControls.js

@@ -1,6 +1,6 @@
 // LorasControls.js - Specific implementation for the LoRAs page
 import { PageControls } from './PageControls.js';
-import { getModelApiClient, resetAndReload } from '../../api/baseModelApi.js';
+import { getModelApiClient, resetAndReload } from '../../api/modelApiFactory.js';
 import { getSessionItem, removeSessionItem } from '../../utils/storageHelpers.js';
 import { createAlphabetBar } from '../alphabet/index.js';
 import { downloadManager } from '../../managers/DownloadManager.js';

static/js/components/shared/ModelCard.js

@@ -1,11 +1,12 @@
-import { showToast, openCivitai, copyToClipboard, sendLoraToWorkflow, openExampleImagesFolder } from '../../utils/uiHelpers.js';
+import { showToast, openCivitai, copyToClipboard, copyLoraSyntax, sendLoraToWorkflow, openExampleImagesFolder } from '../../utils/uiHelpers.js';
 import { state, getCurrentPageState } from '../../state/index.js';
 import { showModelModal } from './ModelModal.js';
 import { toggleShowcase } from './showcase/ShowcaseView.js';
 import { bulkManager } from '../../managers/BulkManager.js';
 import { modalManager } from '../../managers/ModalManager.js';
 import { NSFW_LEVELS } from '../../utils/constants.js';
-import { getModelApiClient } from '../../api/baseModelApi.js';
+import { MODEL_TYPES } from '../../api/apiConfig.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
 import { showDeleteModal } from '../../utils/modalUtils.js';
 
 // Add global event delegation handlers
@@ -152,7 +153,7 @@ async function toggleFavorite(card) {
 }
 
 function handleSendToWorkflow(card, replaceMode, modelType) {
-    if (modelType === 'loras') {
+    if (modelType === MODEL_TYPES.LORA) {
         const usageTips = JSON.parse(card.dataset.usage_tips || '{}');
         const strength = usageTips.strength || 1;
         const loraSyntax = `<lora:${card.dataset.file_name}:${strength}>`;
@@ -164,16 +165,13 @@ function handleSendToWorkflow(card, replaceMode, modelType) {
 }
 
 function handleCopyAction(card, modelType) {
-    if (modelType === 'loras') {
-        const usageTips = JSON.parse(card.dataset.usage_tips || '{}');
-        const strength = usageTips.strength || 1;
-        const loraSyntax = `<lora:${card.dataset.file_name}:${strength}>`;
-        copyToClipboard(loraSyntax, 'LoRA syntax copied to clipboard');
-    } else if (modelType === 'checkpoints') {
+    if (modelType === MODEL_TYPES.LORA) {
+        copyLoraSyntax(card);
+    } else if (modelType === MODEL_TYPES.CHECKPOINT) {
         // Checkpoint copy functionality - copy checkpoint name
         const checkpointName = card.dataset.file_name;
         copyToClipboard(checkpointName, 'Checkpoint name copied');
-    } else if (modelType === 'embeddings') {
+    } else if (modelType === MODEL_TYPES.EMBEDDING) {
         const embeddingName = card.dataset.file_name;
         copyToClipboard(embeddingName, 'Embedding name copied');
     }
@@ -243,7 +241,7 @@ function showModelModalFromCard(card, modelType) {
         tags: JSON.parse(card.dataset.tags || '[]'),
         modelDescription: card.dataset.modelDescription || '',
         // LoRA specific fields
-        ...(modelType === 'lora' && {
+        ...(modelType === MODEL_TYPES.LORA && {
             usage_tips: card.dataset.usage_tips,
         })
     };
@@ -275,18 +273,27 @@ function showExampleAccessModal(card, modelType) {
         if (hasRemoteExamples) {
             downloadBtn.classList.remove('disabled');
             downloadBtn.removeAttribute('title');
-            downloadBtn.onclick = () => {
+            downloadBtn.onclick = async () => {
+                // Get the model hash
+                const modelHash = card.dataset.sha256;
+                if (!modelHash) {
+                    showToast('Missing model hash information.', 'error');
+                    return;
+                }
+                
+                // Close the modal
                 modalManager.closeModal('exampleAccessModal');
-                // Open settings modal and scroll to example images section
-                const settingsModal = document.getElementById('settingsModal');
-                if (settingsModal) {
-                    modalManager.showModal('settingsModal');
-                    setTimeout(() => {
-                        const exampleSection = settingsModal.querySelector('.settings-section:nth-child(7)');
-                        if (exampleSection) {
-                            exampleSection.scrollIntoView({ behavior: 'smooth' });
-                        }
-                    }, 300);
+                
+                try {
+                    // Use the appropriate model API client to download examples
+                    const apiClient = getModelApiClient(modelType);
+                    await apiClient.downloadExampleImages([modelHash]);
+
+                    // Open the example images folder if successful
+                    openExampleImagesFolder(modelHash);
+                } catch (error) {
+                    console.error('Error downloading example images:', error);
+                    // Error already shown by the API client
                 }
             };
         } else {
@@ -377,10 +384,15 @@ export function createModelCard(model, modelType) {
     card.dataset.favorite = model.favorite ? 'true' : 'false';
 
     // LoRA specific data
-    if (modelType === 'loras') {
+    if (modelType === MODEL_TYPES.LORA) {
         card.dataset.usage_tips = model.usage_tips;
     }
 
+    // checkpoint specific data
+    if (modelType === MODEL_TYPES.CHECKPOINT) {
+        card.dataset.model_type = model.model_type; // checkpoint or diffusion_model
+    }
+
     // Store metadata if available
     if (model.civitai) {
         card.dataset.meta = JSON.stringify(model.civitai || {});
@@ -406,7 +418,7 @@ export function createModelCard(model, modelType) {
     }
 
     // Apply selection state if in bulk mode and this card is in the selected set (LoRA only)
-    if (modelType === 'loras' && state.bulkMode && state.selectedLoras.has(model.file_path)) {
+    if (modelType === MODEL_TYPES.LORA && state.bulkMode && state.selectedLoras.has(model.file_path)) {
         card.classList.add('selected');
     }
 

static/js/components/shared/ModelDescription.js

@@ -121,7 +121,7 @@ export function setupModelDescriptionEditing(filePath) {
         }
         try {
             // Save to backend
-            const { getModelApiClient } = await import('../../api/baseModelApi.js');
+            const { getModelApiClient } = await import('../../api/modelApiFactory.js');
             await getModelApiClient().saveModelMetadata(filePath, { modelDescription: newValue });
             showToast('Model description updated', 'success');
         } catch (err) {

static/js/components/shared/ModelMetadata.js

@@ -4,7 +4,7 @@
  */
 import { showToast } from '../../utils/uiHelpers.js';
 import { BASE_MODELS } from '../../utils/constants.js';
-import { getModelApiClient } from '../../api/baseModelApi.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
 
 /**
  * Set up model name editing functionality
@@ -183,7 +183,7 @@ export function setupBaseModelEditing(filePath) {
                 BASE_MODELS.PIXART_A, BASE_MODELS.PIXART_E, BASE_MODELS.HUNYUAN_1,
                 BASE_MODELS.LUMINA, BASE_MODELS.KOLORS, BASE_MODELS.NOOBAI,
                 BASE_MODELS.ILLUSTRIOUS, BASE_MODELS.PONY, BASE_MODELS.HIDREAM,
-                BASE_MODELS.UNKNOWN
+                BASE_MODELS.QWEN, BASE_MODELS.UNKNOWN
             ]
         };
         
@@ -426,4 +426,4 @@ export function setupFileNameEditing(filePath) {
         fileNameWrapper.classList.remove('editing');
         editBtn.classList.remove('visible');
     }
-}
+}

static/js/components/shared/ModelModal.js

@@ -13,7 +13,7 @@ import {
     setupFileNameEditing
 } from './ModelMetadata.js';
 import { setupTagEditMode } from './ModelTags.js';
-import { getModelApiClient } from '../../api/baseModelApi.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
 import { renderCompactTags, setupTagTooltip, formatFileSize } from './utils.js';
 import { renderTriggerWords, setupTriggerWordsEditMode } from './TriggerWords.js';
 import { parsePresets, renderPresetTags } from './PresetTags.js';

static/js/components/shared/ModelTags.js

@@ -3,7 +3,7 @@
  * Module for handling model tag editing functionality - 共享版本
  */
 import { showToast } from '../../utils/uiHelpers.js';
-import { getModelApiClient } from '../../api/baseModelApi.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
 
 // Preset tag suggestions
 const PRESET_TAGS = [

static/js/components/shared/PresetTags.js

@@ -2,7 +2,7 @@
  * PresetTags.js
  * Handles LoRA model preset parameter tags - Shared version
  */
-import { getModelApiClient } from '../../api/baseModelApi.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
 
 /**
  * Parse preset parameters

static/js/components/shared/TriggerWords.js

@@ -4,7 +4,7 @@
  * Moved to shared directory for consistency
  */
 import { showToast, copyToClipboard } from '../../utils/uiHelpers.js';
-import { getModelApiClient } from '../../api/baseModelApi.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
 
 /**
  * Fetch trained words for a model

static/js/components/shared/showcase/MediaUtils.js

@@ -5,7 +5,7 @@
  */
 import { showToast, copyToClipboard } from '../../../utils/uiHelpers.js';
 import { state } from '../../../state/index.js';
-import { getModelApiClient } from '../../../api/baseModelApi.js';
+import { getModelApiClient } from '../../../api/modelApiFactory.js';
 
 /**
  * Try to load local image first, fall back to remote if local fails

static/js/core.js

@@ -5,6 +5,8 @@ import { modalManager } from './managers/ModalManager.js';
 import { updateService } from './managers/UpdateService.js';
 import { HeaderManager } from './components/Header.js';
 import { settingsManager } from './managers/SettingsManager.js';
+import { moveManager } from './managers/MoveManager.js';
+import { bulkManager } from './managers/BulkManager.js';
 import { exampleImagesManager } from './managers/ExampleImagesManager.js';
 import { helpManager } from './managers/HelpManager.js';
 import { bannerService } from './managers/BannerService.js';
@@ -33,11 +35,16 @@ export class AppCore {
         window.settingsManager = settingsManager;
         window.exampleImagesManager = exampleImagesManager;
         window.helpManager = helpManager;
+        window.moveManager = moveManager;
+        window.bulkManager = bulkManager;
         
         // Initialize UI components
         window.headerManager = new HeaderManager();
         initTheme();
         initBackToTop();
+
+        // Initialize the bulk manager
+        bulkManager.initialize();
         
         // Initialize the example images manager
         exampleImagesManager.initialize();

static/js/loras.js

@@ -1,8 +1,6 @@
 import { appCore } from './core.js';
 import { state } from './state/index.js';
 import { updateCardsForBulkMode } from './components/shared/ModelCard.js';
-import { bulkManager } from './managers/BulkManager.js';
-import { moveManager } from './managers/MoveManager.js';
 import { LoraContextMenu } from './components/ContextMenu/index.js';
 import { createPageControls } from './components/controls/index.js';
 import { confirmDelete, closeDeleteModal, confirmExclude, closeExcludeModal } from './utils/modalUtils.js';
@@ -33,15 +31,6 @@ class LoraPageManager {
         window.closeDeleteModal = closeDeleteModal;
         window.confirmExclude = confirmExclude;
         window.closeExcludeModal = closeExcludeModal;
-        window.moveManager = moveManager;
-        
-        // Bulk operations
-        window.toggleBulkMode = () => bulkManager.toggleBulkMode();
-        window.clearSelection = () => bulkManager.clearSelection();
-        window.toggleCardSelection = (card) => bulkManager.toggleCardSelection(card);
-        window.copyAllLorasSyntax = () => bulkManager.copyAllLorasSyntax();
-        window.updateSelectedCount = () => bulkManager.updateSelectedCount();
-        window.bulkManager = bulkManager;
         
         // Expose duplicates manager
         window.modelDuplicatesManager = this.duplicatesManager;
@@ -56,9 +45,6 @@ class LoraPageManager {
         // Initialize cards for current bulk mode state (should be false initially)
         updateCardsForBulkMode(state.bulkMode);
         
-        // Initialize the bulk manager
-        bulkManager.initialize();
-        
         // Initialize common page features (virtual scroll)
         appCore.initializePageFeatures();
     }

static/js/managers/BannerService.js

@@ -62,6 +62,12 @@ class BannerService {
      */
     registerBanner(id, bannerConfig) {
         this.banners.set(id, bannerConfig);
+        
+        // If already initialized, render the banner immediately
+        if (this.initialized && !this.isBannerDismissed(id) && this.container) {
+            this.renderBanner(bannerConfig);
+            this.updateContainerVisibility();
+        }
     }
 
     /**
@@ -88,6 +94,12 @@ class BannerService {
         // Remove banner from DOM
         const bannerElement = document.querySelector(`[data-banner-id="${bannerId}"]`);
         if (bannerElement) {
+            // Call onRemove callback if provided
+            const banner = this.banners.get(bannerId);
+            if (banner && typeof banner.onRemove === 'function') {
+                banner.onRemove(bannerElement);
+            }
+            
             bannerElement.style.animation = 'banner-slide-up 0.3s ease-in-out forwards';
             setTimeout(() => {
                 bannerElement.remove();
@@ -122,12 +134,16 @@ class BannerService {
         bannerElement.className = 'banner-item';
         bannerElement.setAttribute('data-banner-id', banner.id);
 
-        const actionsHtml = banner.actions ? banner.actions.map(action => 
-            `<a href="${action.url}" target="_blank" class="banner-action banner-action-${action.type}" rel="noopener noreferrer">
+        const actionsHtml = banner.actions ? banner.actions.map(action => {
+            const actionAttribute = action.action ? `data-action="${action.action}"` : '';
+            const href = action.url ? `href="${action.url}"` : '#';
+            const target = action.url ? 'target="_blank" rel="noopener noreferrer"' : '';
+            
+            return `<a ${href ? `href="${href}"` : ''} ${target} class="banner-action banner-action-${action.type}" ${actionAttribute}>
                 <i class="${action.icon}"></i>
                 <span>${action.text}</span>
-            </a>`
-        ).join('') : '';
+            </a>`;
+        }).join('') : '';
 
         const dismissButtonHtml = banner.dismissible ? 
             `<button class="banner-dismiss" onclick="bannerService.dismissBanner('${banner.id}')" title="Dismiss">
@@ -148,6 +164,11 @@ class BannerService {
         `;
 
         this.container.appendChild(bannerElement);
+        
+        // Call onRegister callback if provided
+        if (typeof banner.onRegister === 'function') {
+            banner.onRegister(bannerElement);
+        }
     }
 
     /**

static/js/managers/BulkManager.js

@@ -1,147 +1,201 @@
-import { state } from '../state/index.js';
+import { state, getCurrentPageState } from '../state/index.js';
 import { showToast, copyToClipboard, sendLoraToWorkflow } from '../utils/uiHelpers.js';
 import { updateCardsForBulkMode } from '../components/shared/ModelCard.js';
 import { modalManager } from './ModalManager.js';
-import { getModelApiClient } from '../api/baseModelApi.js';
+import { moveManager } from './MoveManager.js';
+import { getModelApiClient } from '../api/modelApiFactory.js';
+import { MODEL_TYPES, MODEL_CONFIG } from '../api/apiConfig.js';
 
 export class BulkManager {
     constructor() {
         this.bulkBtn = document.getElementById('bulkOperationsBtn');
         this.bulkPanel = document.getElementById('bulkOperationsPanel');
-        this.isStripVisible = false; // Track strip visibility state
+        this.isStripVisible = false;
         
-        // Initialize selected loras set in state if not already there
-        if (!state.selectedLoras) {
-            state.selectedLoras = new Set();
-        }
+        this.stripMaxThumbnails = 50;
         
-        // Cache for lora metadata to handle non-visible selected loras
-        if (!state.loraMetadataCache) {
-            state.loraMetadataCache = new Map();
-        }
-
-        this.stripMaxThumbnails = 50; // Maximum thumbnails to show in strip
+        // Model type specific action configurations
+        this.actionConfig = {
+            [MODEL_TYPES.LORA]: {
+                sendToWorkflow: true,
+                copyAll: true,
+                refreshAll: true,
+                moveAll: true,
+                deleteAll: true
+            },
+            [MODEL_TYPES.EMBEDDING]: {
+                sendToWorkflow: false,
+                copyAll: false,
+                refreshAll: true,
+                moveAll: true,
+                deleteAll: true
+            },
+            [MODEL_TYPES.CHECKPOINT]: {
+                sendToWorkflow: false,
+                copyAll: false,
+                refreshAll: true,
+                moveAll: false,
+                deleteAll: true
+            }
+        };
     }
 
     initialize() {
-        // Add event listeners if needed
-        // (Already handled via onclick attributes in HTML, but could be moved here)
-        
-        // Add event listeners for the selected count to toggle thumbnail strip
+        this.setupEventListeners();
+        this.setupGlobalKeyboardListeners();
+    }
+
+    setupEventListeners() {
+        // Bulk operations button listeners
+        const sendToWorkflowBtn = this.bulkPanel?.querySelector('[data-action="send-to-workflow"]');
+        const copyAllBtn = this.bulkPanel?.querySelector('[data-action="copy-all"]');
+        const refreshAllBtn = this.bulkPanel?.querySelector('[data-action="refresh-all"]');
+        const moveAllBtn = this.bulkPanel?.querySelector('[data-action="move-all"]');
+        const deleteAllBtn = this.bulkPanel?.querySelector('[data-action="delete-all"]');
+        const clearBtn = this.bulkPanel?.querySelector('[data-action="clear"]');
+
+        if (sendToWorkflowBtn) {
+            sendToWorkflowBtn.addEventListener('click', () => this.sendAllModelsToWorkflow());
+        }
+        if (copyAllBtn) {
+            copyAllBtn.addEventListener('click', () => this.copyAllModelsSyntax());
+        }
+        if (refreshAllBtn) {
+            refreshAllBtn.addEventListener('click', () => this.refreshAllMetadata());
+        }
+        if (moveAllBtn) {
+            moveAllBtn.addEventListener('click', () => {
+                moveManager.showMoveModal('bulk');
+            });
+        }
+        if (deleteAllBtn) {
+            deleteAllBtn.addEventListener('click', () => this.showBulkDeleteModal());
+        }
+        if (clearBtn) {
+            clearBtn.addEventListener('click', () => this.clearSelection());
+        }
+
+        // Selected count click listener
         const selectedCount = document.getElementById('selectedCount');
         if (selectedCount) {
             selectedCount.addEventListener('click', () => this.toggleThumbnailStrip());
         }
+    }
 
-        // Add global keyboard event listener for Ctrl+A
+    setupGlobalKeyboardListeners() {
         document.addEventListener('keydown', (e) => {
-            // First check if any modal is currently open - if so, don't handle Ctrl+A
             if (modalManager.isAnyModalOpen()) {
-                return; // Exit early - let the browser handle Ctrl+A within the modal
+                return;
             }
 
-            // Check if search input is currently focused - if so, don't handle Ctrl+A
             const searchInput = document.getElementById('searchInput');
             if (searchInput && document.activeElement === searchInput) {
-                return; // Exit early - let the browser handle Ctrl+A within the search input
+                return;
             }
 
-            // Check if it's Ctrl+A (or Cmd+A on Mac)
             if ((e.ctrlKey || e.metaKey) && e.key.toLowerCase() === 'a') {
-
-                // Prevent default browser "Select All" behavior
                 e.preventDefault();
-                
-                // If not in bulk mode, enable it first
                 if (!state.bulkMode) {
                     this.toggleBulkMode();
-                    // Small delay to ensure DOM is updated
-                    setTimeout(() => this.selectAllVisibleLoras(), 50);
+                    setTimeout(() => this.selectAllVisibleModels(), 50);
                 } else {
-                    this.selectAllVisibleLoras();
+                    this.selectAllVisibleModels();
                 }
             } else if (e.key === 'Escape' && state.bulkMode) {
-                // If in bulk mode, exit it on Escape
                 this.toggleBulkMode();
             } else if (e.key.toLowerCase() === 'b') {
-                // If 'b' is pressed, toggle bulk mode
                 this.toggleBulkMode();
             }
         });
     }
 
     toggleBulkMode() {
-        // Toggle the state
         state.bulkMode = !state.bulkMode;
         
-        // Update UI
         this.bulkBtn.classList.toggle('active', state.bulkMode);
         
-        // Important: Remove the hidden class when entering bulk mode
         if (state.bulkMode) {
             this.bulkPanel.classList.remove('hidden');
-            // Use setTimeout to ensure the DOM updates before adding visible class
-            // This helps with the transition animation
+            this.updateActionButtonsVisibility();
             setTimeout(() => {
                 this.bulkPanel.classList.add('visible');
             }, 10);
         } else {
             this.bulkPanel.classList.remove('visible');
-            // Add hidden class back after transition completes
             setTimeout(() => {
                 this.bulkPanel.classList.add('hidden');
-            }, 400); // Match this with the transition duration in CSS
-            
-            // Hide thumbnail strip if it's visible
+            }, 400);
             this.hideThumbnailStrip();
         }
         
-        // First update all cards' visual state before clearing selection
         updateCardsForBulkMode(state.bulkMode);
         
-        // Clear selection if exiting bulk mode - do this after updating cards
         if (!state.bulkMode) {
             this.clearSelection();
             
-            // TODO: fix this, no DOM manipulation should be done here
-            // Force a lightweight refresh of the cards to ensure proper display
-            // This is less disruptive than a full resetAndReload()
+            // TODO:
             document.querySelectorAll('.model-card').forEach(card => {
-                // Re-apply normal display mode to all card actions
                 const actions = card.querySelectorAll('.card-actions, .card-button');
                 actions.forEach(action => action.style.display = 'flex');
             });
         }
     }
 
+    updateActionButtonsVisibility() {
+        const currentModelType = state.currentPageType;
+        const config = this.actionConfig[currentModelType];
+        
+        if (!config) return;
+
+        // Update button visibility based on model type
+        const sendToWorkflowBtn = this.bulkPanel?.querySelector('[data-action="send-to-workflow"]');
+        const copyAllBtn = this.bulkPanel?.querySelector('[data-action="copy-all"]');
+        const refreshAllBtn = this.bulkPanel?.querySelector('[data-action="refresh-all"]');
+        const moveAllBtn = this.bulkPanel?.querySelector('[data-action="move-all"]');
+        const deleteAllBtn = this.bulkPanel?.querySelector('[data-action="delete-all"]');
+
+        if (sendToWorkflowBtn) {
+            sendToWorkflowBtn.style.display = config.sendToWorkflow ? 'block' : 'none';
+        }
+        if (copyAllBtn) {
+            copyAllBtn.style.display = config.copyAll ? 'block' : 'none';
+        }
+        if (refreshAllBtn) {
+            refreshAllBtn.style.display = config.refreshAll ? 'block' : 'none';
+        }
+        if (moveAllBtn) {
+            moveAllBtn.style.display = config.moveAll ? 'block' : 'none';
+        }
+        if (deleteAllBtn) {
+            deleteAllBtn.style.display = config.deleteAll ? 'block' : 'none';
+        }
+    }
+
     clearSelection() {
         document.querySelectorAll('.model-card.selected').forEach(card => {
             card.classList.remove('selected');
         });
-        state.selectedLoras.clear();
+        state.selectedModels.clear();
         this.updateSelectedCount();
-        
-        // Hide thumbnail strip if it's visible
         this.hideThumbnailStrip();
     }
 
     updateSelectedCount() {
         const countElement = document.getElementById('selectedCount');
+        const currentConfig = MODEL_CONFIG[state.currentPageType];
+        const displayName = currentConfig?.displayName || 'Models';
         
         if (countElement) {
-            // Set text content without the icon
-            countElement.textContent = `${state.selectedLoras.size} selected `;
+            countElement.textContent = `${state.selectedModels.size} ${displayName.toLowerCase()}(s) selected `;
             
-            // Update caret icon if it exists
             const existingCaret = countElement.querySelector('.dropdown-caret');
             if (existingCaret) {
                 existingCaret.className = `fas fa-caret-${this.isStripVisible ? 'down' : 'up'} dropdown-caret`;
-                existingCaret.style.visibility = state.selectedLoras.size > 0 ? 'visible' : 'hidden';
+                existingCaret.style.visibility = state.selectedModels.size > 0 ? 'visible' : 'hidden';
             } else {
-                // Create new caret icon if it doesn't exist
                 const caretIcon = document.createElement('i');
                 caretIcon.className = `fas fa-caret-${this.isStripVisible ? 'down' : 'up'} dropdown-caret`;
-                caretIcon.style.visibility = state.selectedLoras.size > 0 ? 'visible' : 'hidden';
+                caretIcon.style.visibility = state.selectedModels.size > 0 ? 'visible' : 'hidden';
                 countElement.appendChild(caretIcon);
             }
         }
@@ -152,13 +206,14 @@ export class BulkManager {
         
         if (card.classList.contains('selected')) {
             card.classList.remove('selected');
-            state.selectedLoras.delete(filepath);
+            state.selectedModels.delete(filepath);
         } else {
             card.classList.add('selected');
-            state.selectedLoras.add(filepath);
+            state.selectedModels.add(filepath);
             
-            // Cache the metadata for this lora
-            state.loraMetadataCache.set(filepath, {
+            // Cache the metadata for this model
+            const metadataCache = this.getMetadataCache();
+            metadataCache.set(filepath, {
                 fileName: card.dataset.file_name,
                 usageTips: card.dataset.usage_tips,
                 previewUrl: this.getCardPreviewUrl(card),
@@ -169,35 +224,49 @@ export class BulkManager {
         
         this.updateSelectedCount();
         
-        // Update thumbnail strip if it's visible
         if (this.isStripVisible) {
             this.updateThumbnailStrip();
         }
     }
+
+    getMetadataCache() {
+        const currentType = state.currentPageType;
+        const pageState = getCurrentPageState();
+        
+        // Initialize metadata cache if it doesn't exist
+        if (currentType === MODEL_TYPES.LORA) {
+            if (!state.loraMetadataCache) {
+                state.loraMetadataCache = new Map();
+            }
+            return state.loraMetadataCache;
+        } else {
+            if (!pageState.metadataCache) {
+                pageState.metadataCache = new Map();
+            }
+            return pageState.metadataCache;
+        }
+    }
     
-    // Helper method to get preview URL from a card
     getCardPreviewUrl(card) {
         const img = card.querySelector('img');
         const video = card.querySelector('video source');
         return img ? img.src : (video ? video.src : '/loras_static/images/no-preview.png');
     }
     
-    // Helper method to check if preview is a video
     isCardPreviewVideo(card) {
         return card.querySelector('video') !== null;
     }
 
-    // Apply selection state to cards after they are refreshed
     applySelectionState() {
         if (!state.bulkMode) return;
         
         document.querySelectorAll('.model-card').forEach(card => {
             const filepath = card.dataset.filepath;
-            if (state.selectedLoras.has(filepath)) {
+            if (state.selectedModels.has(filepath)) {
                 card.classList.add('selected');
                 
-                // Update the cache with latest data
-                state.loraMetadataCache.set(filepath, {
+                const metadataCache = this.getMetadataCache();
+                metadataCache.set(filepath, {
                     fileName: card.dataset.file_name,
                     usageTips: card.dataset.usage_tips,
                     previewUrl: this.getCardPreviewUrl(card),
@@ -212,30 +281,33 @@ export class BulkManager {
         this.updateSelectedCount();
     }
 
-    async copyAllLorasSyntax() {
-        if (state.selectedLoras.size === 0) {
+    async copyAllModelsSyntax() {
+        if (state.currentPageType !== MODEL_TYPES.LORA) {
+            showToast('Copy syntax is only available for LoRAs', 'warning');
+            return;
+        }
+        
+        if (state.selectedModels.size === 0) {
             showToast('No LoRAs selected', 'warning');
             return;
         }
         
         const loraSyntaxes = [];
         const missingLoras = [];
+        const metadataCache = this.getMetadataCache();
         
-        // Process all selected loras using our metadata cache
-        for (const filepath of state.selectedLoras) {
-            const metadata = state.loraMetadataCache.get(filepath);
+        for (const filepath of state.selectedModels) {
+            const metadata = metadataCache.get(filepath);
             
             if (metadata) {
                 const usageTips = JSON.parse(metadata.usageTips || '{}');
                 const strength = usageTips.strength || 1;
                 loraSyntaxes.push(`<lora:${metadata.fileName}:${strength}>`);
             } else {
-                // If we don't have metadata, this is an error case
                 missingLoras.push(filepath);
             }
         }
         
-        // Handle any loras with missing metadata
         if (missingLoras.length > 0) {
             console.warn('Missing metadata for some selected loras:', missingLoras);
             showToast(`Missing data for ${missingLoras.length} LoRAs`, 'warning');
@@ -249,31 +321,33 @@ export class BulkManager {
         await copyToClipboard(loraSyntaxes.join(', '), `Copied ${loraSyntaxes.length} LoRA syntaxes to clipboard`);
     }
     
-    // Add method to send all selected loras to workflow
-    async sendAllLorasToWorkflow() {
-        if (state.selectedLoras.size === 0) {
+    async sendAllModelsToWorkflow() {
+        if (state.currentPageType !== MODEL_TYPES.LORA) {
+            showToast('Send to workflow is only available for LoRAs', 'warning');
+            return;
+        }
+        
+        if (state.selectedModels.size === 0) {
             showToast('No LoRAs selected', 'warning');
             return;
         }
         
         const loraSyntaxes = [];
         const missingLoras = [];
+        const metadataCache = this.getMetadataCache();
         
-        // Process all selected loras using our metadata cache
-        for (const filepath of state.selectedLoras) {
-            const metadata = state.loraMetadataCache.get(filepath);
+        for (const filepath of state.selectedModels) {
+            const metadata = metadataCache.get(filepath);
             
             if (metadata) {
                 const usageTips = JSON.parse(metadata.usageTips || '{}');
                 const strength = usageTips.strength || 1;
                 loraSyntaxes.push(`<lora:${metadata.fileName}:${strength}>`);
             } else {
-                // If we don't have metadata, this is an error case
                 missingLoras.push(filepath);
             }
         }
         
-        // Handle any loras with missing metadata
         if (missingLoras.length > 0) {
             console.warn('Missing metadata for some selected loras:', missingLoras);
             showToast(`Missing data for ${missingLoras.length} LoRAs`, 'warning');
@@ -284,82 +358,48 @@ export class BulkManager {
             return;
         }
         
-        // Send the loras to the workflow
         await sendLoraToWorkflow(loraSyntaxes.join(', '), false, 'lora');
     }
     
-    // Show the bulk delete confirmation modal
     showBulkDeleteModal() {
-        if (state.selectedLoras.size === 0) {
-            showToast('No LoRAs selected', 'warning');
+        if (state.selectedModels.size === 0) {
+            showToast('No models selected', 'warning');
             return;
         }
         
-        // Update the count in the modal
         const countElement = document.getElementById('bulkDeleteCount');
         if (countElement) {
-            countElement.textContent = state.selectedLoras.size;
+            countElement.textContent = state.selectedModels.size;
         }
         
-        // Show the modal
         modalManager.showModal('bulkDeleteModal');
     }
     
-    // Confirm bulk delete action
     async confirmBulkDelete() {
-        if (state.selectedLoras.size === 0) {
-            showToast('No LoRAs selected', 'warning');
+        if (state.selectedModels.size === 0) {
+            showToast('No models selected', 'warning');
             modalManager.closeModal('bulkDeleteModal');
             return;
         }
         
-        // Close the modal first before showing loading indicator
         modalManager.closeModal('bulkDeleteModal');
         
         try {
-            // Show loading indicator
-            state.loadingManager.showSimpleLoading('Deleting models...');
+            const apiClient = getModelApiClient();
+            const filePaths = Array.from(state.selectedModels);
             
-            // Gather all file paths for deletion
-            const filePaths = Array.from(state.selectedLoras);
-            
-            // Call the backend API
-            const response = await fetch('/api/loras/bulk-delete', {
-                method: 'POST',
-                headers: {
-                    'Content-Type': 'application/json'
-                },
-                body: JSON.stringify({
-                    file_paths: filePaths
-                })
-            });
-            
-            const result = await response.json();
+            const result = await apiClient.bulkDeleteModels(filePaths);
             
             if (result.success) {
-                showToast(`Successfully deleted ${result.deleted_count} models`, 'success');
+                const currentConfig = MODEL_CONFIG[state.currentPageType];
+                showToast(`Successfully deleted ${result.deleted_count} ${currentConfig.displayName.toLowerCase()}(s)`, 'success');
                 
-                // If virtual scroller exists, update the UI without page reload
-                if (state.virtualScroller) {
-                    // Remove each deleted item from the virtual scroller
-                    filePaths.forEach(path => {
-                        state.virtualScroller.removeItemByFilePath(path);
-                    });
-                    
-                    // Clear the selection
-                    this.clearSelection();
-                } else {
-                    // Clear the selection
-                    this.clearSelection();
-                    
-                    // Fall back to page reload for non-virtual scroll mode
-                    setTimeout(() => {
-                        window.location.reload();
-                    }, 1500);
-                }
+                filePaths.forEach(path => {
+                    state.virtualScroller.removeItemByFilePath(path);
+                });
+                this.clearSelection();
 
                 if (window.modelDuplicatesManager) {
-                    // Update duplicates badge after refresh
                     window.modelDuplicatesManager.updateDuplicatesBadgeAfterRefresh();
                 }
             } else {
@@ -368,16 +408,11 @@ export class BulkManager {
         } catch (error) {
             console.error('Error during bulk delete:', error);
             showToast('Failed to delete models', 'error');
-        } finally {
-            // Hide loading indicator
-            state.loadingManager.hide();
         }
     }
 
-    // Create and show the thumbnail strip of selected LoRAs
     toggleThumbnailStrip() {
-        // If no items are selected, do nothing
-        if (state.selectedLoras.size === 0) return;
+        if (state.selectedModels.size === 0) return;
         
         const existing = document.querySelector('.selected-thumbnails-strip');
         if (existing) {
@@ -388,38 +423,30 @@ export class BulkManager {
     }
     
     showThumbnailStrip() {
-        // Create the thumbnail strip container
         const strip = document.createElement('div');
         strip.className = 'selected-thumbnails-strip';
         
-        // Create a container for the thumbnails (for scrolling)
         const thumbnailContainer = document.createElement('div');
         thumbnailContainer.className = 'thumbnails-container';
         strip.appendChild(thumbnailContainer);
         
-        // Position the strip above the bulk operations panel
         this.bulkPanel.parentNode.insertBefore(strip, this.bulkPanel);
         
-        // Populate the thumbnails
         this.updateThumbnailStrip();
         
-        // Update strip visibility state and caret direction
         this.isStripVisible = true;
-        this.updateSelectedCount(); // Update caret
+        this.updateSelectedCount();
         
-        // Add animation class after a short delay to trigger transition
         setTimeout(() => strip.classList.add('visible'), 10);
     }
     
     hideThumbnailStrip() {
         const strip = document.querySelector('.selected-thumbnails-strip');
-        if (strip && this.isStripVisible) {  // Only hide if actually visible
+        if (strip && this.isStripVisible) {
             strip.classList.remove('visible');
             
-            // Update strip visibility state
             this.isStripVisible = false;
             
-            // Update caret without triggering another hide
             const countElement = document.getElementById('selectedCount');
             if (countElement) {
                 const caret = countElement.querySelector('.dropdown-caret');
@@ -428,7 +455,6 @@ export class BulkManager {
                 }
             }
             
-            // Wait for animation to complete before removing
             setTimeout(() => {
                 if (strip.parentNode) {
                     strip.parentNode.removeChild(strip);
@@ -441,33 +467,28 @@ export class BulkManager {
         const container = document.querySelector('.thumbnails-container');
         if (!container) return;
         
-        // Clear existing thumbnails
         container.innerHTML = '';
         
-        // Get all selected loras
-        const selectedLoras = Array.from(state.selectedLoras);
+        const selectedModels = Array.from(state.selectedModels);
         
-        // Create counter if we have more thumbnails than we'll show
-        if (selectedLoras.length > this.stripMaxThumbnails) {
+        if (selectedModels.length > this.stripMaxThumbnails) {
             const counter = document.createElement('div');
             counter.className = 'strip-counter';
-            counter.textContent = `Showing ${this.stripMaxThumbnails} of ${selectedLoras.length} selected`;
+            counter.textContent = `Showing ${this.stripMaxThumbnails} of ${selectedModels.length} selected`;
             container.appendChild(counter);
         }
         
-        // Limit the number of thumbnails to display
-        const thumbnailsToShow = selectedLoras.slice(0, this.stripMaxThumbnails);
+        const thumbnailsToShow = selectedModels.slice(0, this.stripMaxThumbnails);
+        const metadataCache = this.getMetadataCache();
         
-        // Add a thumbnail for each selected LoRA (limited to max)
         thumbnailsToShow.forEach(filepath => {
-            const metadata = state.loraMetadataCache.get(filepath);
+            const metadata = metadataCache.get(filepath);
             if (!metadata) return;
             
             const thumbnail = document.createElement('div');
             thumbnail.className = 'selected-thumbnail';
             thumbnail.dataset.filepath = filepath;
             
-            // Create the visual element (image or video)
             if (metadata.isVideo) {
                 thumbnail.innerHTML = `
                     <video autoplay loop muted playsinline>
@@ -484,14 +505,12 @@ export class BulkManager {
                 `;
             }
             
-            // Add click handler for deselection
             thumbnail.addEventListener('click', (e) => {
                 if (!e.target.closest('.thumbnail-remove')) {
                     this.deselectItem(filepath);
                 }
             });
             
-            // Add click handler for the remove button
             thumbnail.querySelector('.thumbnail-remove').addEventListener('click', (e) => {
                 e.stopPropagation();
                 this.deselectItem(filepath);
@@ -502,43 +521,36 @@ export class BulkManager {
     }
     
     deselectItem(filepath) {
-        // Find and deselect the corresponding card if it's in the DOM
         const card = document.querySelector(`.model-card[data-filepath="${filepath}"]`);
         if (card) {
             card.classList.remove('selected');
         }
         
-        // Remove from the selection set
-        state.selectedLoras.delete(filepath);
+        state.selectedModels.delete(filepath);
         
-        // Update UI
         this.updateSelectedCount();
         this.updateThumbnailStrip();
         
-        // Hide the strip if no more selections
-        if (state.selectedLoras.size === 0) {
+        if (state.selectedModels.size === 0) {
             this.hideThumbnailStrip();
         }
     }
 
-    // Add method to select all visible loras
-    selectAllVisibleLoras() {
-        // Only select loras already in the VirtualScroller's data model
+    selectAllVisibleModels() {
         if (!state.virtualScroller || !state.virtualScroller.items) {
             showToast('Unable to select all items', 'error');
             return;
         }
         
-        const oldCount = state.selectedLoras.size;
+        const oldCount = state.selectedModels.size;
+        const metadataCache = this.getMetadataCache();
         
-        // Add all loaded loras to the selection set
         state.virtualScroller.items.forEach(item => {
             if (item && item.file_path) {
-                state.selectedLoras.add(item.file_path);
+                state.selectedModels.add(item.file_path);
                 
-                // Add to metadata cache if not already there
-                if (!state.loraMetadataCache.has(item.file_path)) {
-                    state.loraMetadataCache.set(item.file_path, {
+                if (!metadataCache.has(item.file_path)) {
+                    metadataCache.set(item.file_path, {
                         fileName: item.file_name,
                         usageTips: item.usage_tips || '{}',
                         previewUrl: item.preview_url || '/loras_static/images/no-preview.png',
@@ -549,45 +561,37 @@ export class BulkManager {
             }
         });
         
-        // Update visual state
         this.applySelectionState();
         
-        // Show success message
-        const newlySelected = state.selectedLoras.size - oldCount;
-        showToast(`Selected ${newlySelected} additional LoRAs`, 'success');
+        const newlySelected = state.selectedModels.size - oldCount;
+        const currentConfig = MODEL_CONFIG[state.currentPageType];
+        showToast(`Selected ${newlySelected} additional ${currentConfig.displayName.toLowerCase()}(s)`, 'success');
         
-        // Update thumbnail strip if visible
         if (this.isStripVisible) {
             this.updateThumbnailStrip();
         }
     }
 
-    // Add method to refresh metadata for all selected models
     async refreshAllMetadata() {
-        if (state.selectedLoras.size === 0) {
+        if (state.selectedModels.size === 0) {
             showToast('No models selected', 'warning');
             return;
         }
         
         try {
-            // Get the API client for the current model type
             const apiClient = getModelApiClient();
+            const filePaths = Array.from(state.selectedModels);
             
-            // Convert Set to Array for processing
-            const filePaths = Array.from(state.selectedLoras);
-            
-            // Call the bulk refresh method
             const result = await apiClient.refreshBulkModelMetadata(filePaths);
             
             if (result.success) {
-                // Update the metadata cache for successfully refreshed items
-                for (const filepath of state.selectedLoras) {
-                    const metadata = state.loraMetadataCache.get(filepath);
+                const metadataCache = this.getMetadataCache();
+                for (const filepath of state.selectedModels) {
+                    const metadata = metadataCache.get(filepath);
                     if (metadata) {
-                        // Find the corresponding card to get updated data
                         const card = document.querySelector(`.model-card[data-filepath="${filepath}"]`);
                         if (card) {
-                            state.loraMetadataCache.set(filepath, {
+                            metadataCache.set(filepath, {
                                 ...metadata,
                                 fileName: card.dataset.file_name,
                                 usageTips: card.dataset.usage_tips,
@@ -599,7 +603,6 @@ export class BulkManager {
                     }
                 }
                 
-                // Update thumbnail strip if visible
                 if (this.isStripVisible) {
                     this.updateThumbnailStrip();
                 }
@@ -612,5 +615,4 @@ export class BulkManager {
     }
 }
 
-// Create a singleton instance
 export const bulkManager = new BulkManager();

static/js/managers/DownloadManager.js

@@ -1,8 +1,10 @@
 import { modalManager } from './ModalManager.js';
 import { showToast } from '../utils/uiHelpers.js';
+import { state } from '../state/index.js';
 import { LoadingManager } from './LoadingManager.js';
-import { getModelApiClient, resetAndReload } from '../api/baseModelApi.js';
+import { getModelApiClient, resetAndReload } from '../api/modelApiFactory.js';
 import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
+import { FolderTreeManager } from '../components/FolderTreeManager.js';
 
 export class DownloadManager {
     constructor() {
@@ -15,8 +17,10 @@ export class DownloadManager {
         this.initialized = false;
         this.selectedFolder = '';
         this.apiClient = null;
-
+        this.useDefaultPath = false;
+        
         this.loadingManager = new LoadingManager();
+        this.folderTreeManager = new FolderTreeManager();
         this.folderClickHandler = null;
         this.updateTargetPath = this.updateTargetPath.bind(this);
         
@@ -27,6 +31,7 @@ export class DownloadManager {
         this.handleBackToUrl = this.backToUrl.bind(this);
         this.handleBackToVersions = this.backToVersions.bind(this);
         this.handleCloseModal = this.closeModal.bind(this);
+        this.handleToggleDefaultPath = this.toggleDefaultPath.bind(this);
     }
 
     showDownloadModal() {
@@ -71,6 +76,9 @@ export class DownloadManager {
         document.getElementById('backToUrlBtn').addEventListener('click', this.handleBackToUrl);
         document.getElementById('backToVersionsBtn').addEventListener('click', this.handleBackToVersions);
         document.getElementById('closeDownloadModal').addEventListener('click', this.handleCloseModal);
+        
+        // Default path toggle handler
+        document.getElementById('useDefaultPath').addEventListener('change', this.handleToggleDefaultPath);
     }
 
     updateModalLabels() {
@@ -106,9 +114,10 @@ export class DownloadManager {
         document.getElementById('modelUrl').value = '';
         document.getElementById('urlError').textContent = '';
         
-        const newFolderInput = document.getElementById('newFolder');
-        if (newFolderInput) {
-            newFolderInput.value = '';
+        // Clear folder path input
+        const folderPathInput = document.getElementById('folderPath');
+        if (folderPathInput) {
+            folderPathInput.value = '';
         }
         
         this.currentVersion = null;
@@ -118,11 +127,14 @@ export class DownloadManager {
         this.modelVersionId = null;
         
         this.selectedFolder = '';
-        const folderBrowser = document.getElementById('folderBrowser');
-        if (folderBrowser) {
-            folderBrowser.querySelectorAll('.folder-item').forEach(f => 
-                f.classList.remove('selected'));
+        
+        // Clear folder tree selection
+        if (this.folderTreeManager) {
+            this.folderTreeManager.clearSelection();
         }
+        
+        // Reset default path toggle
+        this.loadDefaultPathSetting();
     }
 
     async validateAndFetchVersions() {
@@ -285,8 +297,6 @@ export class DownloadManager {
         document.getElementById('locationStep').style.display = 'block';
         
         try {
-            const config = this.apiClient.apiConfig.config;
-            
             // Fetch model roots
             const rootsData = await this.apiClient.fetchModelRoots();
             const modelRoot = document.getElementById('modelRoot');
@@ -295,26 +305,96 @@ export class DownloadManager {
             ).join('');
 
             // Set default root if available
-            const defaultRootKey = `default_${this.apiClient.modelType}_root`;
+            const singularType = this.apiClient.modelType.replace(/s$/, '');
+            const defaultRootKey = `default_${singularType}_root`;
             const defaultRoot = getStorageItem('settings', {})[defaultRootKey];
+            console.log(`Default root for ${this.apiClient.modelType}:`, defaultRoot);
+            console.log('Available roots:', rootsData.roots);
             if (defaultRoot && rootsData.roots.includes(defaultRoot)) {
+                console.log(`Setting default root: ${defaultRoot}`);
                 modelRoot.value = defaultRoot;
             }
 
-            // Fetch folders
-            const foldersData = await this.apiClient.fetchModelFolders();
-            const folderBrowser = document.getElementById('folderBrowser');
-            
-            folderBrowser.innerHTML = foldersData.folders.map(folder => 
-                `<div class="folder-item" data-folder="${folder}">${folder}</div>`
-            ).join('');
+            // Set autocomplete="off" on folderPath input
+            const folderPathInput = document.getElementById('folderPath');
+            if (folderPathInput) {
+                folderPathInput.setAttribute('autocomplete', 'off');
+            }
 
-            this.initializeFolderBrowser();
+            // Initialize folder tree
+            await this.initializeFolderTree();
+            
+            // Setup folder tree manager
+            this.folderTreeManager.init({
+                onPathChange: (path) => {
+                    this.selectedFolder = path;
+                    this.updateTargetPath();
+                }
+            });
+            
+            // Setup model root change handler
+            modelRoot.addEventListener('change', async () => {
+                await this.initializeFolderTree();
+                this.updateTargetPath();
+            });
+            
+            // Load default path setting for current model type
+            this.loadDefaultPathSetting();
+            
+            this.updateTargetPath();
         } catch (error) {
             showToast(error.message, 'error');
         }
     }
 
+    loadDefaultPathSetting() {
+        const modelType = this.apiClient.modelType;
+        const storageKey = `use_default_path_${modelType}`;
+        this.useDefaultPath = getStorageItem(storageKey, false);
+        
+        const toggleInput = document.getElementById('useDefaultPath');
+        if (toggleInput) {
+            toggleInput.checked = this.useDefaultPath;
+            this.updatePathSelectionUI();
+        }
+    }
+
+    toggleDefaultPath(event) {
+        this.useDefaultPath = event.target.checked;
+        
+        // Save to localStorage per model type
+        const modelType = this.apiClient.modelType;
+        const storageKey = `use_default_path_${modelType}`;
+        setStorageItem(storageKey, this.useDefaultPath);
+        
+        this.updatePathSelectionUI();
+        this.updateTargetPath();
+    }
+
+    updatePathSelectionUI() {
+        const manualSelection = document.getElementById('manualPathSelection');
+        
+        // Always show manual path selection, but disable/enable based on useDefaultPath
+        manualSelection.style.display = 'block';
+        if (this.useDefaultPath) {
+            manualSelection.classList.add('disabled');
+            // Disable all inputs and buttons inside manualSelection
+            manualSelection.querySelectorAll('input, select, button').forEach(el => {
+                el.disabled = true;
+                el.tabIndex = -1;
+            });
+        } else {
+            manualSelection.classList.remove('disabled');
+            manualSelection.querySelectorAll('input, select, button').forEach(el => {
+                el.disabled = false;
+                el.tabIndex = 0;
+            });
+        }
+        
+        // Always update the main path display
+        this.updateTargetPath();
+    }
+    
     backToUrl() {
         document.getElementById('versionStep').style.display = 'none';
         document.getElementById('urlStep').style.display = 'block';
@@ -326,12 +406,15 @@ export class DownloadManager {
     }
 
     closeModal() {
+        // Clean up folder tree manager
+        if (this.folderTreeManager) {
+            this.folderTreeManager.destroy();
+        }
         modalManager.closeModal('downloadModal');
     }
 
     async startDownload() {
         const modelRoot = document.getElementById('modelRoot').value;
-        const newFolder = document.getElementById('newFolder').value.trim();
         const config = this.apiClient.apiConfig.config;
         
         if (!modelRoot) {
@@ -339,14 +422,15 @@ export class DownloadManager {
             return;
         }
 
-        // Construct relative path
+        // Determine target folder and use_default_paths parameter
         let targetFolder = '';
-        if (this.selectedFolder) {
-            targetFolder = this.selectedFolder;
-        }
-        if (newFolder) {
-            targetFolder = targetFolder ? 
-                `${targetFolder}/${newFolder}` : newFolder;
+        let useDefaultPaths = false;
+        
+        if (this.useDefaultPath) {
+            useDefaultPaths = true;
+            targetFolder = ''; // Not needed when using default paths
+        } else {
+            targetFolder = this.folderTreeManager.getSelectedPath();
         }
 
         try {
@@ -386,12 +470,13 @@ export class DownloadManager {
                 console.error('WebSocket error:', error);
             };
 
-            // Start download
+            // Start download with use_default_paths parameter
             await this.apiClient.downloadModel(
                 this.modelId,
                 this.currentVersion.id,
                 modelRoot,
                 targetFolder,
+                useDefaultPaths,
                 downloadId
             );
 
@@ -402,19 +487,22 @@ export class DownloadManager {
             
             // Update state and trigger reload
             const pageState = this.apiClient.getPageState();
-            pageState.activeFolder = targetFolder;
             
-            // Save the active folder preference
-            setStorageItem(`${this.apiClient.modelType}_activeFolder`, targetFolder);
-            
-            // Update UI folder selection
-            document.querySelectorAll('.folder-tags .tag').forEach(tag => {
-                const isActive = tag.dataset.folder === targetFolder;
-                tag.classList.toggle('active', isActive);
-                if (isActive && !tag.parentNode.classList.contains('collapsed')) {
-                    tag.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
-                }
-            });
+            if (!useDefaultPaths) {
+                pageState.activeFolder = targetFolder;
+                
+                // Save the active folder preference
+                setStorageItem(`${this.apiClient.modelType}_activeFolder`, targetFolder);
+                
+                // Update UI folder selection
+                document.querySelectorAll('.folder-tags .tag').forEach(tag => {
+                    const isActive = tag.dataset.folder === targetFolder;
+                    tag.classList.toggle('active', isActive);
+                    if (isActive && !tag.parentNode.classList.contains('collapsed')) {
+                        tag.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
+                    }
+                });
+            }
 
             await resetAndReload(true);
 
@@ -425,6 +513,24 @@ export class DownloadManager {
         }
     }
 
+    async initializeFolderTree() {
+        try {
+            // Fetch unified folder tree
+            const treeData = await this.apiClient.fetchUnifiedFolderTree();
+            
+            if (treeData.success) {
+                // Load tree data into folder tree manager
+                await this.folderTreeManager.loadTree(treeData.tree);
+            } else {
+                console.error('Failed to fetch folder tree:', treeData.error);
+                showToast('Failed to load folder tree', 'error');
+            }
+        } catch (error) {
+            console.error('Error initializing folder tree:', error);
+            showToast('Error loading folder tree', 'error');
+        }
+    }
+
     initializeFolderBrowser() {
         const folderBrowser = document.getElementById('folderBrowser');
         if (!folderBrowser) return;
@@ -478,17 +584,28 @@ export class DownloadManager {
     updateTargetPath() {
         const pathDisplay = document.getElementById('targetPathDisplay');
         const modelRoot = document.getElementById('modelRoot').value;
-        const newFolder = document.getElementById('newFolder').value.trim();
         const config = this.apiClient.apiConfig.config;
         
         let fullPath = modelRoot || `Select a ${config.displayName} root directory`;
         
         if (modelRoot) {
-            if (this.selectedFolder) {
-                fullPath += '/' + this.selectedFolder;
-            }
-            if (newFolder) {
-                fullPath += '/' + newFolder;
+            if (this.useDefaultPath) {
+                // Show actual template path
+                try {
+                    const singularType = this.apiClient.modelType.replace(/s$/, '');
+                    const templates = state.global.settings.download_path_templates;
+                    const template = templates[singularType];
+                    fullPath += `/${template}`;
+                } catch (error) {
+                    console.error('Failed to fetch template:', error);
+                    fullPath += '/[Auto-organized by path template]';
+                }
+            } else {
+                // Show manual path selection
+                const selectedPath = this.folderTreeManager ? this.folderTreeManager.getSelectedPath() : '';
+                if (selectedPath) {
+                    fullPath += '/' + selectedPath;
+                }
             }
         }
 

static/js/managers/ExampleImagesManager.js

@@ -1,4 +1,5 @@
 import { showToast } from '../utils/uiHelpers.js';
+import { state } from '../state/index.js';
 import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
 
 // ExampleImagesManager.js
@@ -14,6 +15,12 @@ class ExampleImagesManager {
         this.isMigrating = false; // Track migration state separately from downloading
         this.hasShownCompletionToast = false; // Flag to track if completion toast has been shown
         
+        // Auto download properties
+        this.autoDownloadInterval = null;
+        this.lastAutoDownloadCheck = 0;
+        this.autoDownloadCheckInterval = 10 * 60 * 1000; // 10 minutes in milliseconds
+        this.pageInitTime = Date.now(); // Track when page was initialized
+        
         // Initialize download path field and check download status
         this.initializePathOptions();
         this.checkDownloadStatus();
@@ -48,6 +55,14 @@ class ExampleImagesManager {
         if (collapseBtn) {
             collapseBtn.onclick = () => this.toggleProgressPanel();
         }
+
+        // Setup auto download if enabled
+        if (state.global.settings.autoDownloadExampleImages) {
+            this.setupAutoDownload();
+        }
+
+        // Make this instance globally accessible
+        window.exampleImagesManager = this;
     }
     
     // Initialize event listeners for buttons
@@ -133,6 +148,15 @@ class ExampleImagesManager {
                         console.error('Failed to update example images path:', error);
                     }
                 }
+
+                // Setup or clear auto download based on path availability
+                if (state.global.settings.autoDownloadExampleImages) {
+                    if (hasPath) {
+                        this.setupAutoDownload();
+                    } else {
+                        this.clearAutoDownload();
+                    }
+                }
             });
         } catch (error) {
             console.error('Failed to initialize path options:', error);
@@ -646,6 +670,106 @@ class ExampleImagesManager {
             }
         }
     }
+
+    setupAutoDownload() {
+        // Only setup if conditions are met
+        if (!this.canAutoDownload()) {
+            return;
+        }
+
+        // Clear any existing interval
+        this.clearAutoDownload();
+
+        // Wait at least 30 seconds after page initialization before first check
+        const timeSinceInit = Date.now() - this.pageInitTime;
+        const initialDelay = Math.max(60000 - timeSinceInit, 5000); // At least 5 seconds, up to 60 seconds
+
+        console.log(`Setting up auto download with initial delay of ${initialDelay}ms`);
+
+        setTimeout(() => {
+            // Do initial check
+            this.performAutoDownloadCheck();
+
+            // Set up recurring interval
+            this.autoDownloadInterval = setInterval(() => {
+                this.performAutoDownloadCheck();
+            }, this.autoDownloadCheckInterval);
+
+        }, initialDelay);
+    }
+
+    clearAutoDownload() {
+        if (this.autoDownloadInterval) {
+            clearInterval(this.autoDownloadInterval);
+            this.autoDownloadInterval = null;
+            console.log('Auto download interval cleared');
+        }
+    }
+
+    canAutoDownload() {
+        // Check if auto download is enabled
+        if (!state.global.settings.autoDownloadExampleImages) {
+            return false;
+        }
+
+        // Check if download path is set
+        const pathInput = document.getElementById('exampleImagesPath');
+        if (!pathInput || !pathInput.value.trim()) {
+            return false;
+        }
+
+        // Check if already downloading
+        if (this.isDownloading) {
+            return false;
+        }
+
+        return true;
+    }
+
+    async performAutoDownloadCheck() {
+        const now = Date.now();
+        
+        // Prevent too frequent checks (minimum 2 minutes between checks)
+        if (now - this.lastAutoDownloadCheck < 2 * 60 * 1000) {
+            console.log('Skipping auto download check - too soon since last check');
+            return;
+        }
+
+        this.lastAutoDownloadCheck = now;
+
+        if (!this.canAutoDownload()) {
+            console.log('Auto download conditions not met, skipping check');
+            return;
+        }
+
+        try {
+            console.log('Performing auto download check...');
+            
+            const outputDir = document.getElementById('exampleImagesPath').value;
+            const optimize = document.getElementById('optimizeExampleImages').checked;
+            
+            const response = await fetch('/api/download-example-images', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json'
+                },
+                body: JSON.stringify({
+                    output_dir: outputDir,
+                    optimize: optimize,
+                    model_types: ['lora', 'checkpoint', 'embedding'],
+                    auto_mode: true // Flag to indicate this is an automatic download
+                })
+            });
+            
+            const data = await response.json();
+            
+            if (!data.success) {
+                console.warn('Auto download check failed:', data.error);
+            }
+        } catch (error) {
+            console.error('Auto download check error:', error);
+        }
+    }
 }
 
 // Create singleton instance

static/js/managers/FilterManager.js

@@ -1,7 +1,6 @@
-import { BASE_MODEL_CLASSES } from '../utils/constants.js';
 import { getCurrentPageState } from '../state/index.js';
 import { showToast, updatePanelPositions } from '../utils/uiHelpers.js';
-import { getModelApiClient } from '../api/baseModelApi.js';
+import { getModelApiClient } from '../api/modelApiFactory.js';
 import { removeStorageItem, setStorageItem, getStorageItem } from '../utils/storageHelpers.js';
 
 export class FilterManager {
@@ -67,14 +66,7 @@ export class FilterManager {
             tagsContainer.innerHTML = '<div class="tags-loading">Loading tags...</div>';
             
             // Determine the API endpoint based on the page type
-            let tagsEndpoint = '/api/loras/top-tags?limit=20';
-            if (this.currentPage === 'recipes') {
-                tagsEndpoint = '/api/recipes/top-tags?limit=20';
-            } else if (this.currentPage === 'checkpoints') {
-                tagsEndpoint = '/api/checkpoints/top-tags?limit=20';
-            } else if (this.currentPage === 'embeddings') {
-                tagsEndpoint = '/api/embeddings/top-tags?limit=20';
-            }
+            const tagsEndpoint = `/api/${this.currentPage}/top-tags?limit=20`;
 
             const response = await fetch(tagsEndpoint);
             if (!response.ok) throw new Error('Failed to fetch tags');
@@ -141,19 +133,8 @@ export class FilterManager {
         const baseModelTagsContainer = document.getElementById('baseModelTags');
         if (!baseModelTagsContainer) return;
         
-        // Set the appropriate API endpoint based on current page
-        let apiEndpoint = '';
-        if (this.currentPage === 'loras') {
-            apiEndpoint = '/api/loras/base-models';
-        } else if (this.currentPage === 'recipes') {
-            apiEndpoint = '/api/recipes/base-models';
-        } else if (this.currentPage === 'checkpoints') {
-            apiEndpoint = '/api/checkpoints/base-models';
-        } else if (this.currentPage === 'embeddings') {
-            apiEndpoint = '/api/embeddings/base-models';
-        } else {
-            return;
-        }
+        // Set the API endpoint based on current page
+        const apiEndpoint = `/api/${this.currentPage}/base-models`;
         
         // Fetch base models
         fetch(apiEndpoint)

static/js/managers/ImportManager.js

@@ -4,8 +4,13 @@ import { ImportStepManager } from './import/ImportStepManager.js';
 import { ImageProcessor } from './import/ImageProcessor.js';
 import { RecipeDataManager } from './import/RecipeDataManager.js';
 import { DownloadManager } from './import/DownloadManager.js';
-import { FolderBrowser } from './import/FolderBrowser.js';
+import { FolderTreeManager } from '../components/FolderTreeManager.js';
 import { formatFileSize } from '../utils/formatters.js';
+import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
+import { getModelApiClient } from '../api/modelApiFactory.js';
+import { state } from '../state/index.js';
+import { MODEL_TYPES } from '../api/apiConfig.js';
+import { showToast } from '../utils/uiHelpers.js';
 
 export class ImportManager {
     constructor() {
@@ -20,6 +25,8 @@ export class ImportManager {
         this.downloadableLoRAs = [];
         this.recipeId = null;
         this.importMode = 'url'; // Default mode: 'url' or 'upload'
+        this.useDefaultPath = false;
+        this.apiClient = null;
         
         // Initialize sub-managers
         this.loadingManager = new LoadingManager();
@@ -27,10 +34,12 @@ export class ImportManager {
         this.imageProcessor = new ImageProcessor(this);
         this.recipeDataManager = new RecipeDataManager(this);
         this.downloadManager = new DownloadManager(this);
-        this.folderBrowser = new FolderBrowser(this);
+        this.folderTreeManager = new FolderTreeManager();
         
         // Bind methods
         this.formatFileSize = formatFileSize;
+        this.updateTargetPath = this.updateTargetPath.bind(this);
+        this.handleToggleDefaultPath = this.toggleDefaultPath.bind(this);
     }
 
     showImportModal(recipeData = null, recipeId = null) {
@@ -40,9 +49,13 @@ export class ImportManager {
                 console.error('Import modal element not found');
                 return;
             }
+            this.initializeEventHandlers();
             this.initialized = true;
         }
         
+        // Get API client for LoRAs
+        this.apiClient = getModelApiClient(MODEL_TYPES.LORA);
+        
         // Reset state
         this.resetSteps();
         if (recipeData) {
@@ -52,14 +65,12 @@ export class ImportManager {
         
         // Show modal
         modalManager.showModal('importModal', null, () => {
-            this.folderBrowser.cleanup();
+            this.cleanupFolderBrowser();
             this.stepManager.removeInjectedStyles();
         });
-        
+
         // Verify visibility and focus on URL input
-        setTimeout(() => {
-            this.ensureModalVisible();
-            
+        setTimeout(() => {      
             // Ensure URL option is selected and focus on the input
             this.toggleImportMode('url');
             const urlInput = document.getElementById('imageUrlInput');
@@ -69,6 +80,14 @@ export class ImportManager {
         }, 50);
     }
 
+    initializeEventHandlers() {
+        // Default path toggle handler
+        const useDefaultPathToggle = document.getElementById('importUseDefaultPath');
+        if (useDefaultPathToggle) {
+            useDefaultPathToggle.addEventListener('change', this.handleToggleDefaultPath);
+        }
+    }
+
     resetSteps() {
         // Clear UI state
         this.stepManager.removeInjectedStyles();
@@ -93,6 +112,12 @@ export class ImportManager {
         const tagsContainer = document.getElementById('tagsContainer');
         if (tagsContainer) tagsContainer.innerHTML = '<div class="empty-tags">No tags added</div>';
         
+        // Clear folder path input
+        const folderPathInput = document.getElementById('importFolderPath');
+        if (folderPathInput) {
+            folderPathInput.value = '';
+        }
+        
         // Reset state variables
         this.recipeImage = null;
         this.recipeData = null;
@@ -100,33 +125,19 @@ export class ImportManager {
         this.recipeTags = [];
         this.missingLoras = [];
         this.downloadableLoRAs = [];
+        this.selectedFolder = '';
         
         // Reset import mode
         this.importMode = 'url';
         this.toggleImportMode('url');
         
-        // Reset folder browser
-        this.selectedFolder = '';
-        const folderBrowser = document.getElementById('importFolderBrowser');
-        if (folderBrowser) {
-            folderBrowser.querySelectorAll('.folder-item').forEach(f => 
-                f.classList.remove('selected'));
+        // Clear folder tree selection
+        if (this.folderTreeManager) {
+            this.folderTreeManager.clearSelection();
         }
         
-        // Clear missing LoRAs list
-        const missingLorasList = document.getElementById('missingLorasList');
-        if (missingLorasList) missingLorasList.innerHTML = '';
-        
-        // Reset total download size
-        const totalSizeDisplay = document.getElementById('totalDownloadSize');
-        if (totalSizeDisplay) totalSizeDisplay.textContent = 'Calculating...';
-        
-        // Remove warnings
-        const deletedLorasWarning = document.getElementById('deletedLorasWarning');
-        if (deletedLorasWarning) deletedLorasWarning.remove();
-        
-        const earlyAccessWarning = document.getElementById('earlyAccessWarning');
-        if (earlyAccessWarning) earlyAccessWarning.remove();
+        // Reset default path toggle
+        this.loadDefaultPathSetting();
         
         // Reset duplicate related properties
         this.duplicateRecipes = [];
@@ -204,7 +215,54 @@ export class ImportManager {
     }
 
     async proceedToLocation() {
-        await this.folderBrowser.proceedToLocation();
+        this.stepManager.showStep('locationStep');
+        
+        try {
+            // Fetch LoRA roots
+            const rootsData = await this.apiClient.fetchModelRoots();
+            const loraRoot = document.getElementById('importLoraRoot');
+            loraRoot.innerHTML = rootsData.roots.map(root => 
+                `<option value="${root}">${root}</option>`
+            ).join('');
+
+            // Set default root if available
+            const defaultRootKey = 'default_lora_root';
+            const defaultRoot = getStorageItem('settings', {})[defaultRootKey];
+            if (defaultRoot && rootsData.roots.includes(defaultRoot)) {
+                loraRoot.value = defaultRoot;
+            }
+
+            // Set autocomplete="off" on folderPath input
+            const folderPathInput = document.getElementById('importFolderPath');
+            if (folderPathInput) {
+                folderPathInput.setAttribute('autocomplete', 'off');
+            }
+
+            // Setup folder tree manager
+            this.folderTreeManager.init({
+                elementsPrefix: 'import',
+                onPathChange: (path) => {
+                    this.selectedFolder = path;
+                    this.updateTargetPath();
+                }
+            });
+            
+            // Initialize folder tree
+            await this.initializeFolderTree();
+            
+            // Setup lora root change handler
+            loraRoot.addEventListener('change', async () => {
+                await this.initializeFolderTree();
+                this.updateTargetPath();
+            });
+            
+            // Load default path setting for LoRAs
+            this.loadDefaultPathSetting();
+            
+            this.updateTargetPath();
+        } catch (error) {
+            showToast(error.message, 'error');
+        }
     }
 
     backToUpload() {
@@ -234,25 +292,107 @@ export class ImportManager {
         await this.downloadManager.saveRecipe();
     }
 
-    updateTargetPath() {
-        this.folderBrowser.updateTargetPath();
+    loadDefaultPathSetting() {
+        const storageKey = 'use_default_path_loras';
+        this.useDefaultPath = getStorageItem(storageKey, false);
+        
+        const toggleInput = document.getElementById('importUseDefaultPath');
+        if (toggleInput) {
+            toggleInput.checked = this.useDefaultPath;
+            this.updatePathSelectionUI();
+        }
     }
 
-    ensureModalVisible() {
-        const importModal = document.getElementById('importModal');
-        if (!importModal) {
-            console.error('Import modal element not found');
-            return false;
+    toggleDefaultPath(event) {
+        this.useDefaultPath = event.target.checked;
+        
+        // Save to localStorage for LoRAs
+        const storageKey = 'use_default_path_loras';
+        setStorageItem(storageKey, this.useDefaultPath);
+        
+        this.updatePathSelectionUI();
+        this.updateTargetPath();
+    }
+
+    updatePathSelectionUI() {
+        const manualSelection = document.getElementById('importManualPathSelection');
+        
+        // Always show manual path selection, but disable/enable based on useDefaultPath
+        if (manualSelection) {
+            manualSelection.style.display = 'block';
+            if (this.useDefaultPath) {
+                manualSelection.classList.add('disabled');
+                // Disable all inputs and buttons inside manualSelection
+                manualSelection.querySelectorAll('input, select, button').forEach(el => {
+                    el.disabled = true;
+                    el.tabIndex = -1;
+                });
+            } else {
+                manualSelection.classList.remove('disabled');
+                manualSelection.querySelectorAll('input, select, button').forEach(el => {
+                    el.disabled = false;
+                    el.tabIndex = 0;
+                });
+            }
         }
         
-        // Check if modal is actually visible
-        const modalDisplay = window.getComputedStyle(importModal).display;
-        if (modalDisplay !== 'block') {
-            console.error('Import modal is not visible, display: ' + modalDisplay);
-            return false;
+        // Always update the main path display
+        this.updateTargetPath();
+    }
+
+    async initializeFolderTree() {
+        try {
+            // Fetch unified folder tree
+            const treeData = await this.apiClient.fetchUnifiedFolderTree();
+            
+            if (treeData.success) {
+                // Load tree data into folder tree manager
+                await this.folderTreeManager.loadTree(treeData.tree);
+            } else {
+                console.error('Failed to fetch folder tree:', treeData.error);
+                showToast('Failed to load folder tree', 'error');
+            }
+        } catch (error) {
+            console.error('Error initializing folder tree:', error);
+            showToast('Error loading folder tree', 'error');
         }
+    }
+
+    cleanupFolderBrowser() {
+        if (this.folderTreeManager) {
+            this.folderTreeManager.destroy();
+        }
+    }
+
+    updateTargetPath() {
+        const pathDisplay = document.getElementById('importTargetPathDisplay');
+        const loraRoot = document.getElementById('importLoraRoot').value;
         
-        return true;
+        let fullPath = loraRoot || 'Select a LoRA root directory';
+        
+        if (loraRoot) {
+            if (this.useDefaultPath) {
+                // Show actual template path
+                try {
+                    const templates = state.global.settings.download_path_templates;
+                    const template = templates.lora;
+                    fullPath += `/${template}`;
+                } catch (error) {
+                    console.error('Failed to fetch template:', error);
+                    fullPath += '/[Auto-organized by path template]';
+                }
+            } else {
+                // Show manual path selection
+                const selectedPath = this.folderTreeManager ? this.folderTreeManager.getSelectedPath() : '';
+                if (selectedPath) {
+                    fullPath += '/' + selectedPath;
+                }
+            }
+        }
+
+        if (pathDisplay) {
+            pathDisplay.innerHTML = `<span class="path-text">${fullPath}</span>`;
+        }
     }
 
     /**

static/js/managers/MoveManager.js

@@ -1,152 +1,178 @@
 import { showToast, updateFolderTags } from '../utils/uiHelpers.js';
 import { state, getCurrentPageState } from '../state/index.js';
 import { modalManager } from './ModalManager.js';
+import { bulkManager } from './BulkManager.js';
 import { getStorageItem } from '../utils/storageHelpers.js';
-import { getModelApiClient } from '../api/baseModelApi.js';
+import { getModelApiClient } from '../api/modelApiFactory.js';
+import { FolderTreeManager } from '../components/FolderTreeManager.js';
 
 class MoveManager {
     constructor() {
         this.currentFilePath = null;
         this.bulkFilePaths = null;
-        this.modal = document.getElementById('moveModal');
-        this.loraRootSelect = document.getElementById('moveLoraRoot');
-        this.folderBrowser = document.getElementById('moveFolderBrowser');
-        this.newFolderInput = document.getElementById('moveNewFolder');
-        this.pathDisplay = document.getElementById('moveTargetPathDisplay');
-        this.modalTitle = document.getElementById('moveModalTitle');
-
-        this.initializeEventListeners();
+        this.folderTreeManager = new FolderTreeManager();
+        this.initialized = false;
+        
+        // Bind methods
+        this.updateTargetPath = this.updateTargetPath.bind(this);
     }
 
     initializeEventListeners() {
-        // 初始化LoRA根目录选择器
-        this.loraRootSelect.addEventListener('change', () => this.updatePathPreview());
-
-        // 文件夹选择事件
-        this.folderBrowser.addEventListener('click', (e) => {
-            const folderItem = e.target.closest('.folder-item');
-            if (!folderItem) return;
-
-            // 如果点击已选中的文件夹，则取消选择
-            if (folderItem.classList.contains('selected')) {
-                folderItem.classList.remove('selected');
-            } else {
-                // 取消其他选中状态
-                this.folderBrowser.querySelectorAll('.folder-item').forEach(item => {
-                    item.classList.remove('selected');
-                });
-                // 设置当前选中状态
-                folderItem.classList.add('selected');
-            }
-            
-            this.updatePathPreview();
+        if (this.initialized) return;
+        
+        const modelRootSelect = document.getElementById('moveModelRoot');
+        
+        // Initialize model root directory selector
+        modelRootSelect.addEventListener('change', async () => {
+            await this.initializeFolderTree();
+            this.updateTargetPath();
         });
-
-        // 新文件夹输入事件
-        this.newFolderInput.addEventListener('input', () => this.updatePathPreview());
+        
+        this.initialized = true;
     }
 
-    async showMoveModal(filePath) {
+    async showMoveModal(filePath, modelType = null) {
         // Reset state
         this.currentFilePath = null;
         this.bulkFilePaths = null;
         
+        const apiClient = getModelApiClient();
+        const currentPageType = state.currentPageType;
+        const modelConfig = apiClient.apiConfig.config;
+        
         // Handle bulk mode
         if (filePath === 'bulk') {
-            const selectedPaths = Array.from(state.selectedLoras);
+            const selectedPaths = Array.from(state.selectedModels);
             if (selectedPaths.length === 0) {
-                showToast('No LoRAs selected', 'warning');
+                showToast('No models selected', 'warning');
                 return;
             }
             this.bulkFilePaths = selectedPaths;
-            this.modalTitle.textContent = `Move ${selectedPaths.length} LoRAs`;
+            document.getElementById('moveModalTitle').textContent = `Move ${selectedPaths.length} ${modelConfig.displayName}s`;
         } else {
             // Single file mode
             this.currentFilePath = filePath;
-            this.modalTitle.textContent = "Move Model";
+            document.getElementById('moveModalTitle').textContent = `Move ${modelConfig.displayName}`;
         }
         
-        // 清除之前的选择
-        this.folderBrowser.querySelectorAll('.folder-item').forEach(item => {
-            item.classList.remove('selected');
-        });
-        this.newFolderInput.value = '';
+        // Update UI labels based on model type
+        document.getElementById('moveRootLabel').textContent = `Select ${modelConfig.displayName} Root:`;
+        document.getElementById('moveTargetPathDisplay').querySelector('.path-text').textContent = `Select a ${modelConfig.displayName.toLowerCase()} root directory`;
+        
+        // Clear folder path input
+        const folderPathInput = document.getElementById('moveFolderPath');
+        if (folderPathInput) {
+            folderPathInput.value = '';
+        }
 
         try {
-            // Fetch LoRA roots
-            const rootsResponse = await fetch('/api/loras/roots');
-            if (!rootsResponse.ok) {
-                throw new Error('Failed to fetch LoRA roots');
+            // Fetch model roots
+            const modelRootSelect = document.getElementById('moveModelRoot');
+            let rootsData;
+            if (modelType) {
+                rootsData = await apiClient.fetchModelRoots(modelType);
+            } else {
+                rootsData = await apiClient.fetchModelRoots();
             }
             
-            const rootsData = await rootsResponse.json();
             if (!rootsData.roots || rootsData.roots.length === 0) {
-                throw new Error('No LoRA roots found');
+                throw new Error(`No ${modelConfig.displayName.toLowerCase()} roots found`);
             }
 
-            // 填充LoRA根目录选择器
-            this.loraRootSelect.innerHTML = rootsData.roots.map(root => 
+            // Populate model root selector
+            modelRootSelect.innerHTML = rootsData.roots.map(root => 
                 `<option value="${root}">${root}</option>`
             ).join('');
 
-            // Set default lora root if available
-            const defaultRoot = getStorageItem('settings', {}).default_lora_root;
+            // Set default root if available
+            const settingsKey = `default_${currentPageType.slice(0, -1)}_root`;
+            const defaultRoot = getStorageItem('settings', {})[settingsKey];
             if (defaultRoot && rootsData.roots.includes(defaultRoot)) {
-                this.loraRootSelect.value = defaultRoot;
+                modelRootSelect.value = defaultRoot;
             }
 
-            // Fetch folders dynamically
-            const foldersResponse = await fetch('/api/loras/folders');
-            if (!foldersResponse.ok) {
-                throw new Error('Failed to fetch folders');
-            }
+            // Initialize event listeners
+            this.initializeEventListeners();
             
-            const foldersData = await foldersResponse.json();
+            // Setup folder tree manager
+            this.folderTreeManager.init({
+                onPathChange: (path) => {
+                    this.updateTargetPath();
+                },
+                elementsPrefix: 'move'
+            });
             
-            // Update folder browser with dynamic content
-            this.folderBrowser.innerHTML = foldersData.folders.map(folder => 
-                `<div class="folder-item" data-folder="${folder}">${folder}</div>`
-            ).join('');
+            // Initialize folder tree
+            await this.initializeFolderTree();
 
-            this.updatePathPreview();
-            modalManager.showModal('moveModal');
+            this.updateTargetPath();
+            modalManager.showModal('moveModal', null, () => {
+                // Cleanup on modal close
+                if (this.folderTreeManager) {
+                    this.folderTreeManager.destroy();
+                }
+            });
             
         } catch (error) {
-            console.error('Error fetching LoRA roots or folders:', error);
+            console.error(`Error fetching ${modelConfig.displayName.toLowerCase()} roots or folders:`, error);
             showToast(error.message, 'error');
         }
     }
 
-    updatePathPreview() {
-        const selectedRoot = this.loraRootSelect.value;
-        const selectedFolder = this.folderBrowser.querySelector('.folder-item.selected')?.dataset.folder || '';
-        const newFolder = this.newFolderInput.value.trim();
-
-        let targetPath = selectedRoot;
-        if (selectedFolder) {
-            targetPath = `${targetPath}/${selectedFolder}`;
+    async initializeFolderTree() {
+        try {
+            const apiClient = getModelApiClient();
+            // Fetch unified folder tree
+            const treeData = await apiClient.fetchUnifiedFolderTree();
+            
+            if (treeData.success) {
+                // Load tree data into folder tree manager
+                await this.folderTreeManager.loadTree(treeData.tree);
+            } else {
+                console.error('Failed to fetch folder tree:', treeData.error);
+                showToast('Failed to load folder tree', 'error');
+            }
+        } catch (error) {
+            console.error('Error initializing folder tree:', error);
+            showToast('Error loading folder tree', 'error');
         }
-        if (newFolder) {
-            targetPath = `${targetPath}/${newFolder}`;
+    }
+
+    updateTargetPath() {
+        const pathDisplay = document.getElementById('moveTargetPathDisplay');
+        const modelRoot = document.getElementById('moveModelRoot').value;
+        const apiClient = getModelApiClient();
+        const config = apiClient.apiConfig.config;
+        
+        let fullPath = modelRoot || `Select a ${config.displayName.toLowerCase()} root directory`;
+        
+        if (modelRoot) {
+            const selectedPath = this.folderTreeManager ? this.folderTreeManager.getSelectedPath() : '';
+            if (selectedPath) {
+                fullPath += '/' + selectedPath;
+            }
         }
 
-        this.pathDisplay.querySelector('.path-text').textContent = targetPath;
+        pathDisplay.innerHTML = `<span class="path-text">${fullPath}</span>`;
     }
 
     async moveModel() {
-        const selectedRoot = this.loraRootSelect.value;
-        const selectedFolder = this.folderBrowser.querySelector('.folder-item.selected')?.dataset.folder || '';
-        const newFolder = this.newFolderInput.value.trim();
-
-        let targetPath = selectedRoot;
-        if (selectedFolder) {
-            targetPath = `${targetPath}/${selectedFolder}`;
-        }
-        if (newFolder) {
-            targetPath = `${targetPath}/${newFolder}`;
-        }
-
+        const selectedRoot = document.getElementById('moveModelRoot').value;
         const apiClient = getModelApiClient();
+        const config = apiClient.apiConfig.config;
+        
+        if (!selectedRoot) {
+            showToast(`Please select a ${config.displayName.toLowerCase()} root directory`, 'error');
+            return;
+        }
+
+        // Get selected folder path from folder tree manager
+        const targetFolder = this.folderTreeManager.getSelectedPath();
+        
+        let targetPath = selectedRoot;
+        if (targetFolder) {
+            targetPath = `${targetPath}/${targetFolder}`;
+        }
 
         try {
             if (this.bulkFilePaths) {
@@ -191,11 +217,8 @@ class MoveManager {
 
             // Refresh folder tags after successful move
             try {
-                const foldersResponse = await fetch('/api/loras/folders');
-                if (foldersResponse.ok) {
-                    const foldersData = await foldersResponse.json();
-                    updateFolderTags(foldersData.folders);
-                }
+                const foldersData = await apiClient.fetchModelFolders();
+                updateFolderTags(foldersData.folders);
             } catch (error) {
                 console.error('Error refreshing folder tags:', error);
             }
@@ -204,7 +227,7 @@ class MoveManager {
             
             // If we were in bulk mode, exit it after successful move
             if (this.bulkFilePaths && state.bulkMode) {
-                toggleBulkMode();
+                bulkManager.toggleBulkMode();
             }
 
         } catch (error) {

static/js/managers/SearchManager.js

@@ -1,6 +1,6 @@
 import { updatePanelPositions } from "../utils/uiHelpers.js";
 import { getCurrentPageState } from "../state/index.js";
-import { getModelApiClient } from "../api/baseModelApi.js";
+import { getModelApiClient } from "../api/modelApiFactory.js";
 import { setStorageItem, getStorageItem } from "../utils/storageHelpers.js";
 /**
  * SearchManager - Handles search functionality across different pages
@@ -318,6 +318,7 @@ export class SearchManager {
             filename: options.filename || false,
             modelname: options.modelname || false,
             tags: options.tags || false,
+            creator: options.creator || false,
             recursive: recursive
           };
         } else if (this.currentPage === 'checkpoints') {
@@ -325,6 +326,7 @@ export class SearchManager {
             filename: options.filename || false,
             modelname: options.modelname || false,
             tags: options.tags || false,
+            creator: options.creator || false,
             recursive: recursive
           };
         }

static/js/managers/SettingsManager.js

@@ -1,9 +1,9 @@
 import { modalManager } from './ModalManager.js';
 import { showToast } from '../utils/uiHelpers.js';
 import { state } from '../state/index.js';
-import { resetAndReload } from '../api/baseModelApi.js';
+import { resetAndReload } from '../api/modelApiFactory.js';
 import { setStorageItem, getStorageItem } from '../utils/storageHelpers.js';
-import { DOWNLOAD_PATH_TEMPLATES, MAPPABLE_BASE_MODELS } from '../utils/constants.js';
+import { DOWNLOAD_PATH_TEMPLATES, MAPPABLE_BASE_MODELS, PATH_TEMPLATE_PLACEHOLDERS, DEFAULT_PATH_TEMPLATES } from '../utils/constants.js';
 
 export class SettingsManager {
     constructor() {
@@ -48,6 +48,11 @@ export class SettingsManager {
             state.global.settings.optimizeExampleImages = true;
         }
 
+        // Set default for autoDownloadExampleImages if undefined
+        if (state.global.settings.autoDownloadExampleImages === undefined) {
+            state.global.settings.autoDownloadExampleImages = true;
+        }
+
         // Set default for cardInfoDisplay if undefined
         if (state.global.settings.cardInfoDisplay === undefined) {
             state.global.settings.cardInfoDisplay = 'always';
@@ -68,11 +73,30 @@ export class SettingsManager {
             // We can delete the old setting, but keeping it for backwards compatibility
         }
 
-        // Set default for download path template if undefined
-        if (state.global.settings.download_path_template === undefined) {
-            state.global.settings.download_path_template = DOWNLOAD_PATH_TEMPLATES.BASE_MODEL_TAG.value;
+        // Migrate legacy download_path_template to new structure
+        if (state.global.settings.download_path_template && !state.global.settings.download_path_templates) {
+            const legacyTemplate = state.global.settings.download_path_template;
+            state.global.settings.download_path_templates = {
+                lora: legacyTemplate,
+                checkpoint: legacyTemplate,
+                embedding: legacyTemplate
+            };
+            delete state.global.settings.download_path_template;
+            setStorageItem('settings', state.global.settings);
         }
 
+        // Set default for download path templates if undefined
+        if (state.global.settings.download_path_templates === undefined) {
+            state.global.settings.download_path_templates = { ...DEFAULT_PATH_TEMPLATES };
+        }
+
+        // Ensure all model types have templates
+        Object.keys(DEFAULT_PATH_TEMPLATES).forEach(modelType => {
+            if (typeof state.global.settings.download_path_templates[modelType] === 'undefined') {
+                state.global.settings.download_path_templates[modelType] = DEFAULT_PATH_TEMPLATES[modelType];
+            }
+        });
+
         // Set default for base model path mappings if undefined
         if (state.global.settings.base_model_path_mappings === undefined) {
             state.global.settings.base_model_path_mappings = {};
@@ -82,6 +106,11 @@ export class SettingsManager {
         if (state.global.settings.default_embedding_root === undefined) {
             state.global.settings.default_embedding_root = '';
         }
+
+        // Set default for includeTriggerWords if undefined
+        if (state.global.settings.includeTriggerWords === undefined) {
+            state.global.settings.includeTriggerWords = false;
+        }
     }
 
     async syncSettingsToBackendIfNeeded() {
@@ -95,7 +124,7 @@ export class SettingsManager {
             'default_checkpoint_root',
             'default_embedding_root',
             'base_model_path_mappings',
-            'download_path_template'
+            'download_path_templates'
         ];
 
         // Build payload for syncing
@@ -103,11 +132,7 @@ export class SettingsManager {
 
         fieldsToSync.forEach(key => {
             if (localSettings[key] !== undefined) {
-                if (key === 'base_model_path_mappings') {
-                    payload[key] = JSON.stringify(localSettings[key]);
-                } else {
-                    payload[key] = localSettings[key];
-                }
+                payload[key] = localSettings[key];
             }
         });
 
@@ -154,6 +179,30 @@ export class SettingsManager {
         document.querySelectorAll('.toggle-visibility').forEach(button => {
             button.addEventListener('click', () => this.toggleInputVisibility(button));
         });
+
+        ['lora', 'checkpoint', 'embedding'].forEach(modelType => {
+            const customInput = document.getElementById(`${modelType}CustomTemplate`);
+            if (customInput) {
+                customInput.addEventListener('input', (e) => {
+                    const template = e.target.value;
+                    settingsManager.validateTemplate(modelType, template);
+                    settingsManager.updateTemplatePreview(modelType, template);
+                });
+                
+                customInput.addEventListener('blur', (e) => {
+                    const template = e.target.value;
+                    if (settingsManager.validateTemplate(modelType, template)) {
+                        settingsManager.updateTemplate(modelType, template);
+                    }
+                });
+                
+                customInput.addEventListener('keydown', (e) => {
+                    if (e.key === 'Enter') {
+                        e.target.blur();
+                    }
+                });
+            }
+        });
         
         this.initialized = true;
     }
@@ -195,11 +244,19 @@ export class SettingsManager {
             optimizeExampleImagesCheckbox.checked = state.global.settings.optimizeExampleImages || false;
         }
 
-        // Set download path template setting
-        const downloadPathTemplateSelect = document.getElementById('downloadPathTemplate');
-        if (downloadPathTemplateSelect) {
-            downloadPathTemplateSelect.value = state.global.settings.download_path_template || '';
-            this.updatePathTemplatePreview();
+        // Set auto download example images setting
+        const autoDownloadExampleImagesCheckbox = document.getElementById('autoDownloadExampleImages');
+        if (autoDownloadExampleImagesCheckbox) {
+            autoDownloadExampleImagesCheckbox.checked = state.global.settings.autoDownloadExampleImages || false;
+        }
+
+        // Load download path templates
+        this.loadDownloadPathTemplates();
+
+        // Set include trigger words setting
+        const includeTriggerWordsCheckbox = document.getElementById('includeTriggerWords');
+        if (includeTriggerWordsCheckbox) {
+            includeTriggerWordsCheckbox.checked = state.global.settings.includeTriggerWords || false;
         }
 
         // Load base model path mappings
@@ -485,7 +542,7 @@ export class SettingsManager {
                     'Content-Type': 'application/json',
                 },
                 body: JSON.stringify({
-                    base_model_path_mappings: JSON.stringify(state.global.settings.base_model_path_mappings)
+                    base_model_path_mappings: state.global.settings.base_model_path_mappings
                 })
             });
 
@@ -507,19 +564,184 @@ export class SettingsManager {
         }
     }
 
-    updatePathTemplatePreview() {
-        const templateSelect = document.getElementById('downloadPathTemplate');
-        const previewElement = document.getElementById('pathTemplatePreview');
-        if (!templateSelect || !previewElement) return;
-
-        const template = templateSelect.value;
-        const templateInfo = Object.values(DOWNLOAD_PATH_TEMPLATES).find(t => t.value === template);
+    loadDownloadPathTemplates() {
+        const templates = state.global.settings.download_path_templates || DEFAULT_PATH_TEMPLATES;
         
-        if (templateInfo) {
-            previewElement.textContent = templateInfo.example;
-            previewElement.style.display = 'block';
+        Object.keys(templates).forEach(modelType => {
+            this.loadTemplateForModelType(modelType, templates[modelType]);
+        });
+    }
+
+    loadTemplateForModelType(modelType, template) {
+        const presetSelect = document.getElementById(`${modelType}TemplatePreset`);
+        const customRow = document.getElementById(`${modelType}CustomRow`);
+        const customInput = document.getElementById(`${modelType}CustomTemplate`);
+        
+        if (!presetSelect) return;
+
+        // Find matching preset
+        const matchingPreset = this.findMatchingPreset(template);
+        
+        if (matchingPreset !== null) {
+            presetSelect.value = matchingPreset;
+            if (customRow) customRow.style.display = 'none';
         } else {
-            previewElement.style.display = 'none';
+            // Custom template
+            presetSelect.value = 'custom';
+            if (customRow) customRow.style.display = 'block';
+            if (customInput) {
+                customInput.value = template;
+                this.validateTemplate(modelType, template);
+            }
+        }
+        
+        this.updateTemplatePreview(modelType, template);
+    }
+
+    findMatchingPreset(template) {
+        const presetValues = Object.values(DOWNLOAD_PATH_TEMPLATES)
+            .map(t => t.value)
+            .filter(v => v !== 'custom');
+        
+        return presetValues.includes(template) ? template : null;
+    }
+
+    updateTemplatePreset(modelType, value) {
+        const customRow = document.getElementById(`${modelType}CustomRow`);
+        const customInput = document.getElementById(`${modelType}CustomTemplate`);
+        
+        if (value === 'custom') {
+            if (customRow) customRow.style.display = 'block';
+            if (customInput) customInput.focus();
+            return;
+        } else {
+            if (customRow) customRow.style.display = 'none';
+        }
+        
+        // Update template
+        this.updateTemplate(modelType, value);
+    }
+
+    updateTemplate(modelType, template) {
+        // Validate template if it's custom
+        if (document.getElementById(`${modelType}TemplatePreset`).value === 'custom') {
+            if (!this.validateTemplate(modelType, template)) {
+                return; // Don't save invalid templates
+            }
+        }
+        
+        // Update state
+        if (!state.global.settings.download_path_templates) {
+            state.global.settings.download_path_templates = { ...DEFAULT_PATH_TEMPLATES };
+        }
+        state.global.settings.download_path_templates[modelType] = template;
+        
+        // Update preview
+        this.updateTemplatePreview(modelType, template);
+        
+        // Save settings
+        this.saveDownloadPathTemplates();
+    }
+
+    validateTemplate(modelType, template) {
+        const validationElement = document.getElementById(`${modelType}Validation`);
+        if (!validationElement) return true;
+        
+        // Reset validation state
+        validationElement.innerHTML = '';
+        validationElement.className = 'template-validation';
+        
+        if (!template) {
+            validationElement.innerHTML = '<i class="fas fa-check"></i> Valid (flat structure)';
+            validationElement.classList.add('valid');
+            return true;
+        }
+        
+        // Check for invalid characters
+        const invalidChars = /[<>:"|?*]/;
+        if (invalidChars.test(template)) {
+            validationElement.innerHTML = '<i class="fas fa-times"></i> Invalid characters detected';
+            validationElement.classList.add('invalid');
+            return false;
+        }
+        
+        // Check for double slashes
+        if (template.includes('//')) {
+            validationElement.innerHTML = '<i class="fas fa-times"></i> Double slashes not allowed';
+            validationElement.classList.add('invalid');
+            return false;
+        }
+        
+        // Check if it starts or ends with slash
+        if (template.startsWith('/') || template.endsWith('/')) {
+            validationElement.innerHTML = '<i class="fas fa-times"></i> Cannot start or end with slash';
+            validationElement.classList.add('invalid');
+            return false;
+        }
+        
+        // Extract placeholders
+        const placeholderRegex = /\{([^}]+)\}/g;
+        const matches = template.match(placeholderRegex) || [];
+        
+        // Check for invalid placeholders
+        const invalidPlaceholders = matches.filter(match => 
+            !PATH_TEMPLATE_PLACEHOLDERS.includes(match)
+        );
+        
+        if (invalidPlaceholders.length > 0) {
+            validationElement.innerHTML = `<i class="fas fa-times"></i> Invalid placeholder: ${invalidPlaceholders[0]}`;
+            validationElement.classList.add('invalid');
+            return false;
+        }
+        
+        // Template is valid
+        validationElement.innerHTML = '<i class="fas fa-check"></i> Valid template';
+        validationElement.classList.add('valid');
+        return true;
+    }
+
+    updateTemplatePreview(modelType, template) {
+        const previewElement = document.getElementById(`${modelType}Preview`);
+        if (!previewElement) return;
+        
+        if (!template) {
+            previewElement.textContent = 'model-name.safetensors';
+        } else {
+            // Generate example preview
+            const exampleTemplate = template
+                .replace('{base_model}', 'Flux.1 D')
+                .replace('{author}', 'authorname')
+                .replace('{first_tag}', 'style');
+            previewElement.textContent = `${exampleTemplate}/model-name.safetensors`;
+        }
+        previewElement.style.display = 'block';
+    }
+
+    async saveDownloadPathTemplates() {
+        try {
+            // Save to localStorage
+            setStorageItem('settings', state.global.settings);
+
+            // Save to backend
+            const response = await fetch('/api/settings', {
+                method: 'POST',
+                headers: {
+                    'Content-Type': 'application/json',
+                },
+                body: JSON.stringify({
+                    download_path_templates: state.global.settings.download_path_templates
+                })
+            });
+
+            if (!response.ok) {
+                throw new Error('Failed to save download path templates');
+            }
+
+            showToast('Download path templates updated', 'success');
+
+        } catch (error) {
+            console.error('Error saving download path templates:', error);
+            showToast('Failed to save download path templates: ' + error.message, 'error');
         }
     }
 
@@ -547,8 +769,12 @@ export class SettingsManager {
             state.global.settings.autoplayOnHover = value;
         } else if (settingKey === 'optimize_example_images') {
             state.global.settings.optimizeExampleImages = value;
+        } else if (settingKey === 'auto_download_example_images') {
+            state.global.settings.autoDownloadExampleImages = value;
         } else if (settingKey === 'compact_mode') {
             state.global.settings.compactMode = value;
+        } else if (settingKey === 'include_trigger_words') {
+            state.global.settings.includeTriggerWords = value;
         } else {
             // For any other settings that might be added in the future
             state.global.settings[settingKey] = value;
@@ -574,14 +800,23 @@ export class SettingsManager {
                 if (!response.ok) {
                     throw new Error('Failed to save setting');
                 }
-                
-                showToast(`Settings updated: ${settingKey.replace(/_/g, ' ')}`, 'success');
             }
+                
+            showToast(`Settings updated: ${settingKey.replace(/_/g, ' ')}`, 'success');
             
             // Apply frontend settings immediately
             this.applyFrontendSettings();
             
-            if (settingKey === 'show_only_sfw') {
+            // Trigger auto download setup/teardown when setting changes
+            if (settingKey === 'auto_download_example_images' && window.exampleImagesManager) {
+                if (value) {
+                    window.exampleImagesManager.setupAutoDownload();
+                } else {
+                    window.exampleImagesManager.clearAutoDownload();
+                }
+            }
+            
+            if (settingKey === 'show_only_sfw' || settingKey === 'blur_mature_content') {
                 this.reloadContent();
             }
             
@@ -616,9 +851,6 @@ export class SettingsManager {
             state.global.settings.compactMode = (value !== 'default');
         } else if (settingKey === 'card_info_display') {
             state.global.settings.cardInfoDisplay = value;
-        } else if (settingKey === 'download_path_template') {
-            state.global.settings.download_path_template = value;
-            this.updatePathTemplatePreview();
         } else {
             // For any other settings that might be added in the future
             state.global.settings[settingKey] = value;
@@ -629,9 +861,13 @@ export class SettingsManager {
         
         try {
             // For backend settings, make API call
-            if (settingKey === 'default_lora_root' || settingKey === 'default_checkpoint_root' || settingKey === 'default_embedding_root' || settingKey === 'download_path_template') {
+            if (settingKey === 'default_lora_root' || settingKey === 'default_checkpoint_root' || settingKey === 'default_embedding_root' || settingKey === 'download_path_templates') {
                 const payload = {};
-                payload[settingKey] = value;
+                if (settingKey === 'download_path_templates') {
+                    payload[settingKey] = state.global.settings.download_path_templates;
+                } else {
+                    payload[settingKey] = value;
+                }
                 
                 const response = await fetch('/api/settings', {
                     method: 'POST',
@@ -763,20 +999,13 @@ export class SettingsManager {
         } else if (this.currentPage === 'checkpoints') {
             // Reload the checkpoints without updating folders
             await resetAndReload(false);
+        } else if (this.currentPage === 'embeddings') {
+            // Reload the embeddings without updating folders
+            await resetAndReload(false);
         }
     }
 
     applyFrontendSettings() {
-        // Apply blur setting to existing content
-        const blurSetting = state.global.settings.blurMatureContent;
-        document.querySelectorAll('.model-card[data-nsfw="true"] .card-image').forEach(img => {
-            if (blurSetting) {
-                img.classList.add('nsfw-blur');
-            } else {
-                img.classList.remove('nsfw-blur');
-            }
-        });
-        
         // Apply autoplay setting to existing videos in card previews
         const autoplayOnHover = state.global.settings.autoplayOnHover;
         document.querySelectorAll('.card-preview video').forEach(video => {

static/js/managers/UpdateService.js

@@ -1,5 +1,13 @@
 import { modalManager } from './ModalManager.js';
-import { getStorageItem, setStorageItem } from '../utils/storageHelpers.js';
+import { 
+    getStorageItem, 
+    setStorageItem, 
+    getStoredVersionInfo, 
+    setStoredVersionInfo,
+    isVersionMatch,
+    resetDismissedBanner
+} from '../utils/storageHelpers.js';
+import { bannerService } from './BannerService.js';
 
 export class UpdateService {
     constructor() {
@@ -17,6 +25,8 @@ export class UpdateService {
         this.lastCheckTime = parseInt(getStorageItem('last_update_check') || '0');
         this.isUpdating = false;
         this.nightlyMode = getStorageItem('nightly_updates', false);
+        this.currentVersionInfo = null;
+        this.versionMismatch = false;
     }
 
     initialize() {
@@ -59,6 +69,9 @@ export class UpdateService {
 
         // Immediately update modal content with current values (even if from default)
         this.updateModalContent();
+        
+        // Check version info for mismatch after loading basic info
+        this.checkVersionInfo();
     }
     
     updateNightlyWarning() {
@@ -424,6 +437,110 @@ export class UpdateService {
         // Ensure badge visibility is updated after manual check
         this.updateBadgeVisibility();
     }
+    
+    async checkVersionInfo() {
+        try {
+            // Call API to get current version info
+            const response = await fetch('/api/version-info');
+            const data = await response.json();
+            
+            if (data.success) {
+                this.currentVersionInfo = data.version;
+                
+                // Check if version matches stored version
+                this.versionMismatch = !isVersionMatch(this.currentVersionInfo);
+                
+                if (this.versionMismatch) {
+                    console.log('Version mismatch detected:', {
+                        current: this.currentVersionInfo,
+                        stored: getStoredVersionInfo()
+                    });
+                    
+                    // Reset dismissed status for version mismatch banner
+                    resetDismissedBanner('version-mismatch');
+                    
+                    // Register and show the version mismatch banner
+                    this.registerVersionMismatchBanner();
+                }
+            }
+        } catch (error) {
+            console.error('Failed to check version info:', error);
+        }
+    }
+    
+    registerVersionMismatchBanner() {
+        // Get stored and current version for display
+        const storedVersion = getStoredVersionInfo() || 'unknown';
+        const currentVersion = this.currentVersionInfo || 'unknown';
+        
+        bannerService.registerBanner('version-mismatch', {
+            id: 'version-mismatch',
+            title: 'Application Update Detected',
+            content: `Your browser is running an outdated version of LoRA Manager (${storedVersion}). The server has been updated to version ${currentVersion}. Please refresh to ensure proper functionality.`,
+            actions: [
+                {
+                    text: 'Refresh Now',
+                    icon: 'fas fa-sync',
+                    action: 'hardRefresh',
+                    type: 'primary'
+                }
+            ],
+            dismissible: false,
+            priority: 10,
+            countdown: 15,
+            onRegister: (bannerElement) => {
+                // Add countdown element
+                const countdownEl = document.createElement('div');
+                countdownEl.className = 'banner-countdown';
+                countdownEl.innerHTML = `<span>Refreshing in <strong>15</strong> seconds...</span>`;
+                bannerElement.querySelector('.banner-content').appendChild(countdownEl);
+                
+                // Start countdown
+                let seconds = 15;
+                const countdownInterval = setInterval(() => {
+                    seconds--;
+                    const strongEl = countdownEl.querySelector('strong');
+                    if (strongEl) strongEl.textContent = seconds;
+                    
+                    if (seconds <= 0) {
+                        clearInterval(countdownInterval);
+                        this.performHardRefresh();
+                    }
+                }, 1000);
+                
+                // Store interval ID for cleanup
+                bannerElement.dataset.countdownInterval = countdownInterval;
+                
+                // Add action button event handler
+                const actionBtn = bannerElement.querySelector('.banner-action[data-action="hardRefresh"]');
+                if (actionBtn) {
+                    actionBtn.addEventListener('click', (e) => {
+                        e.preventDefault();
+                        clearInterval(countdownInterval);
+                        this.performHardRefresh();
+                    });
+                }
+            },
+            onRemove: (bannerElement) => {
+                // Clear any existing interval
+                const intervalId = bannerElement.dataset.countdownInterval;
+                if (intervalId) {
+                    clearInterval(parseInt(intervalId));
+                }
+            }
+        });
+    }
+    
+    performHardRefresh() {
+        // Update stored version info before refreshing
+        setStoredVersionInfo(this.currentVersionInfo);
+        
+        // Force a hard refresh by adding cache-busting parameter
+        const cacheBuster = new Date().getTime();
+        window.location.href = window.location.pathname + 
+            (window.location.search ? window.location.search + '&' : '?') + 
+            `cache=${cacheBuster}`;
+    }
 }
 
 // Create and export singleton instance

static/js/managers/import/DownloadManager.js

@@ -1,4 +1,7 @@
 import { showToast } from '../../utils/uiHelpers.js';
+import { getModelApiClient } from '../../api/modelApiFactory.js';
+import { MODEL_TYPES } from '../../api/apiConfig.js';
+import { getStorageItem } from '../../utils/storageHelpers.js';
 
 export class DownloadManager {
     constructor(importManager) {
@@ -118,14 +121,9 @@ export class DownloadManager {
         }
         
         // Build target path
-        let targetPath = loraRoot;
+        let targetPath = '';
         if (this.importManager.selectedFolder) {
-            targetPath += '/' + this.importManager.selectedFolder;
-        }
-        
-        const newFolder = document.getElementById('importNewFolder')?.value?.trim();
-        if (newFolder) {
-            targetPath += '/' + newFolder;
+            targetPath = this.importManager.selectedFolder;
         }
         
         // Generate a unique ID for this batch download
@@ -187,6 +185,8 @@ export class DownloadManager {
                 }
             }
         };
+
+        const useDefaultPaths = getStorageItem('use_default_path_loras', false);
         
         for (let i = 0; i < this.importManager.downloadableLoRAs.length; i++) {
             const lora = this.importManager.downloadableLoRAs[i];
@@ -200,38 +200,26 @@ export class DownloadManager {
             
             try {
                 // Download the LoRA with download ID
-                const response = await fetch('/api/download-model', {
-                    method: 'POST',
-                    headers: { 'Content-Type': 'application/json' },
-                    body: JSON.stringify({
-                        model_id: lora.modelId,
-                        model_version_id: lora.id,
-                        model_root: loraRoot,
-                        relative_path: targetPath.replace(loraRoot + '/', ''),
-                        download_id: batchDownloadId
-                    })
-                });
+                const response = await getModelApiClient(MODEL_TYPES.LORA).downloadModel(
+                    lora.modelId,
+                    lora.id,
+                    loraRoot,
+                    targetPath.replace(loraRoot + '/', ''),
+                    useDefaultPaths,
+                    batchDownloadId
+                );
                 
-                if (!response.ok) {
-                    const errorText = await response.text();
-                    console.error(`Failed to download LoRA ${lora.name}: ${errorText}`);
-                    
-                    // Check if this is an early access error (status 401 is the key indicator)
-                    if (response.status === 401) {
-                        accessFailures++;
-                        this.importManager.loadingManager.setStatus(
-                            `Failed to download ${lora.name}: Access restricted`
-                        );
-                    }
-                    
+                if (!response.success) {
+                    console.error(`Failed to download LoRA ${lora.name}: ${response.error}`);
+
                     failedDownloads++;
                     // Continue with next download
                 } else {
                     completedDownloads++;
-                    
+
                     // Update progress to show completion of current LoRA
                     updateProgress(100, completedDownloads, '');
-                    
+
                     if (completedDownloads + failedDownloads < this.importManager.downloadableLoRAs.length) {
                         this.importManager.loadingManager.setStatus(
                             `Completed ${completedDownloads}/${this.importManager.downloadableLoRAs.length} LoRAs. Starting next download...`

static/js/state/index.js

@@ -37,6 +37,7 @@ export const state = {
                 filename: true,
                 modelname: true,
                 tags: false,
+                creator: false,
                 recursive: false
             },
             filters: {
@@ -83,12 +84,17 @@ export const state = {
             searchOptions: {
                 filename: true,
                 modelname: true,
+                creator: false,
                 recursive: false
             },
             filters: {
                 baseModel: [],
                 tags: []
             },
+            modelType: 'checkpoint', // 'checkpoint' or 'diffusion_model'
+            bulkMode: false,
+            selectedModels: new Set(),
+            metadataCache: new Map(),
             showFavoritesOnly: false,
             duplicatesMode: false,
         },
@@ -106,12 +112,16 @@ export const state = {
                 filename: true,
                 modelname: true,
                 tags: false,
+                creator: false,
                 recursive: false
             },
             filters: {
                 baseModel: [],
                 tags: []
             },
+            bulkMode: false,
+            selectedModels: new Set(),
+            metadataCache: new Map(),
             showFavoritesOnly: false,
             duplicatesMode: false,
         }
@@ -154,12 +164,43 @@ export const state = {
     get filters() { return this.pages[this.currentPageType].filters; },
     set filters(value) { this.pages[this.currentPageType].filters = value; },
     
-    get bulkMode() { return this.pages.loras.bulkMode; },
-    set bulkMode(value) { this.pages.loras.bulkMode = value; },
+    get bulkMode() { 
+        const currentType = this.currentPageType;
+        if (currentType === MODEL_TYPES.LORA) {
+            return this.pages.loras.bulkMode;
+        } else {
+            return this.pages[currentType].bulkMode;
+        }
+    },
+    set bulkMode(value) { 
+        const currentType = this.currentPageType;
+        if (currentType === MODEL_TYPES.LORA) {
+            this.pages.loras.bulkMode = value;
+        } else {
+            this.pages[currentType].bulkMode = value;
+        }
+    },
     
     get selectedLoras() { return this.pages.loras.selectedLoras; },
     set selectedLoras(value) { this.pages.loras.selectedLoras = value; },
     
+    get selectedModels() { 
+        const currentType = this.currentPageType;
+        if (currentType === MODEL_TYPES.LORA) {
+            return this.pages.loras.selectedLoras;
+        } else {
+            return this.pages[currentType].selectedModels;
+        }
+    },
+    set selectedModels(value) { 
+        const currentType = this.currentPageType;
+        if (currentType === MODEL_TYPES.LORA) {
+            this.pages.loras.selectedLoras = value;
+        } else {
+            this.pages[currentType].selectedModels = value;
+        }
+    },
+    
     get loraMetadataCache() { return this.pages.loras.loraMetadataCache; },
     set loraMetadataCache(value) { this.pages.loras.loraMetadataCache = value; },
     

static/js/utils/constants.js

@@ -35,6 +35,7 @@ export const BASE_MODELS = {
     ILLUSTRIOUS: "Illustrious",
     PONY: "Pony",
     HIDREAM: "HiDream",
+    QWEN: "Qwen",
     
     // Video models
     SVD: "SVD",
@@ -93,6 +94,7 @@ export const BASE_MODEL_CLASSES = {
     [BASE_MODELS.ILLUSTRIOUS]: "il",
     [BASE_MODELS.PONY]: "pony",
     [BASE_MODELS.HIDREAM]: "hidream",
+    [BASE_MODELS.QWEN]: "qwen",
     
     // Default
     [BASE_MODELS.UNKNOWN]: "unknown"
@@ -112,6 +114,12 @@ export const DOWNLOAD_PATH_TEMPLATES = {
         description: 'Organize by base model type',
         example: 'Flux.1 D/model-name.safetensors'
     },
+    AUTHOR: {
+        value: '{author}',
+        label: 'By Author',
+        description: 'Organize by model author',
+        example: 'authorname/model-name.safetensors'
+    },
     FIRST_TAG: {
         value: '{first_tag}',
         label: 'By First Tag',
@@ -123,9 +131,48 @@ export const DOWNLOAD_PATH_TEMPLATES = {
         label: 'Base Model + First Tag',
         description: 'Organize by base model and primary tag',
         example: 'Flux.1 D/style/model-name.safetensors'
+    },
+    BASE_MODEL_AUTHOR: {
+        value: '{base_model}/{author}',
+        label: 'Base Model + Author',
+        description: 'Organize by base model and author',
+        example: 'Flux.1 D/authorname/model-name.safetensors'
+    },
+    AUTHOR_TAG: {
+        value: '{author}/{first_tag}',
+        label: 'Author + First Tag',
+        description: 'Organize by author and primary tag',
+        example: 'authorname/style/model-name.safetensors'
+    },
+    CUSTOM: {
+        value: 'custom',
+        label: 'Custom Template',
+        description: 'Create your own path structure',
+        example: 'Enter custom template...'
     }
 };
 
+// Valid placeholders for path templates
+export const PATH_TEMPLATE_PLACEHOLDERS = [
+    '{base_model}',
+    '{author}',
+    '{first_tag}'
+];
+
+// Default templates for each model type
+export const DEFAULT_PATH_TEMPLATES = {
+    lora: '{base_model}/{first_tag}',
+    checkpoint: '{base_model}',
+    embedding: '{first_tag}'
+};
+
+// Model type labels for UI
+export const MODEL_TYPE_LABELS = {
+    lora: 'LoRA Models',
+    checkpoint: 'Checkpoint Models',
+    embedding: 'Embedding Models'
+};
+
 // Base models available for path mapping (for UI selection)
 export const MAPPABLE_BASE_MODELS = Object.values(BASE_MODELS).sort();
 
@@ -161,4 +208,4 @@ export const NODE_TYPE_ICONS = {
 };
 
 // Default ComfyUI node color when bgcolor is null
-export const DEFAULT_NODE_COLOR = "#353535";
+export const DEFAULT_NODE_COLOR = "#353535";

static/js/utils/infiniteScroll.js

@@ -1,7 +1,7 @@
 import { state, getCurrentPageState } from '../state/index.js';
 import { VirtualScroller } from './VirtualScroller.js';
 import { createModelCard, setupModelCardEventDelegation } from '../components/shared/ModelCard.js';
-import { getModelApiClient } from '../api/baseModelApi.js';
+import { getModelApiClient } from '../api/modelApiFactory.js';
 import { showToast } from './uiHelpers.js';
 
 // Function to dynamically import the appropriate card creator based on page type

static/js/utils/modalUtils.js

@@ -1,5 +1,5 @@
 import { modalManager } from '../managers/ModalManager.js';
-import { getModelApiClient } from '../api/baseModelApi.js';
+import { getModelApiClient } from '../api/modelApiFactory.js';
 
 const apiClient = getModelApiClient();
 

static/js/utils/storageHelpers.js

@@ -213,4 +213,61 @@ export function getMapFromStorage(key) {
         console.error(`Error loading Map from localStorage (${key}):`, error);
         return new Map();
     }
+}
+
+/**
+ * Get stored version info from localStorage
+ * @returns {string|null} The stored version string or null if not found
+ */
+export function getStoredVersionInfo() {
+    return getStorageItem('version_info', null);
+}
+
+/**
+ * Store version info to localStorage
+ * @param {string} versionInfo - The version info string to store
+ */
+export function setStoredVersionInfo(versionInfo) {
+    setStorageItem('version_info', versionInfo);
+}
+
+/**
+ * Check if version info matches between stored and current
+ * @param {string} currentVersionInfo - The current version info from server
+ * @returns {boolean} True if versions match or no stored version exists
+ */
+export function isVersionMatch(currentVersionInfo) {
+    const storedVersion = getStoredVersionInfo();
+    // If we have no stored version yet, consider it a match
+    if (storedVersion === null) {
+        setStoredVersionInfo(currentVersionInfo);
+        return true;
+    }
+    return storedVersion === currentVersionInfo;
+}
+
+/**
+ * Reset the dismissed status of a specific banner
+ * @param {string} bannerId - The ID of the banner to un-dismiss
+ */
+export function resetDismissedBanner(bannerId) {
+    const dismissedBanners = getStorageItem('dismissed_banners', []);
+    const updatedBanners = dismissedBanners.filter(id => id !== bannerId);
+    setStorageItem('dismissed_banners', updatedBanners);
+}
+
+/**
+ * Get the show duplicates notification preference
+ * @returns {boolean} True if notification should be shown (default: true)
+ */
+export function getShowDuplicatesNotification() {
+    return getStorageItem('show_duplicates_notification', true);
+}
+
+/**
+ * Set the show duplicates notification preference
+ * @param {boolean} show - Whether to show the notification
+ */
+export function setShowDuplicatesNotification(show) {
+    setStorageItem('show_duplicates_notification', show);
 }

static/js/utils/uiHelpers.js

@@ -1,4 +1,4 @@
-import { getCurrentPageState } from '../state/index.js';
+import { state, getCurrentPageState } from '../state/index.js';
 import { getStorageItem, setStorageItem } from './storageHelpers.js';
 import { NODE_TYPE_ICONS, DEFAULT_NODE_COLOR } from './constants.js';
 
@@ -285,6 +285,76 @@ export function getNSFWLevelName(level) {
     return 'Unknown';
 }
 
+export function copyLoraSyntax(card) {
+  const usageTips = JSON.parse(card.dataset.usage_tips || "{}");
+  const strength = usageTips.strength || 1;
+  const baseSyntax = `<lora:${card.dataset.file_name}:${strength}>`;
+
+  // Check if trigger words should be included
+  const includeTriggerWords = state.global.settings.includeTriggerWords;
+
+  if (!includeTriggerWords) {
+    copyToClipboard(baseSyntax, "LoRA syntax copied to clipboard");
+    return;
+  }
+
+  // Get trigger words from metadata
+  const meta = card.dataset.meta ? JSON.parse(card.dataset.meta) : null;
+  const trainedWords = meta?.trainedWords;
+
+  if (
+    !trainedWords ||
+    !Array.isArray(trainedWords) ||
+    trainedWords.length === 0
+  ) {
+    copyToClipboard(
+      baseSyntax,
+      "LoRA syntax copied to clipboard (no trigger words found)"
+    );
+    return;
+  }
+
+  let finalSyntax = baseSyntax;
+
+  if (trainedWords.length === 1) {
+    // Single group: append trigger words to the same line
+    const triggers = trainedWords[0]
+      .split(",")
+      .map((word) => word.trim())
+      .filter((word) => word);
+    if (triggers.length > 0) {
+      finalSyntax = `${baseSyntax}, ${triggers.join(", ")}`;
+    }
+    copyToClipboard(
+      finalSyntax,
+      "LoRA syntax with trigger words copied to clipboard"
+    );
+  } else {
+    // Multiple groups: format with separators
+    const groups = trainedWords
+      .map((group) => {
+        const triggers = group
+          .split(",")
+          .map((word) => word.trim())
+          .filter((word) => word);
+        return triggers.join(", ");
+      })
+      .filter((group) => group);
+
+    if (groups.length > 0) {
+      // Use separator between all groups except the first
+      finalSyntax = baseSyntax + ", " + groups[0];
+      for (let i = 1; i < groups.length; i++) {
+        finalSyntax += `\n${"-".repeat(17)}\n${groups[i]}`;
+      }
+    }
+    copyToClipboard(
+      finalSyntax,
+      "LoRA syntax with trigger word groups copied to clipboard"
+    );
+  }
+}
+
 /**
  * Sends LoRA syntax to the active ComfyUI workflow
  * @param {string} loraSyntax - The LoRA syntax to send

templates/checkpoints.html

@@ -9,7 +9,7 @@
 
 {% block init_title %}Initializing Checkpoints Manager{% endblock %}
 {% block init_message %}Scanning and building checkpoints cache. This may take a few moments...{% endblock %}
-{% block init_check_url %}/api/checkpoints?page=1&page_size=1{% endblock %}
+{% block init_check_url %}/api/checkpoints/list?page=1&page_size=1{% endblock %}
 
 {% block additional_components %}
 
@@ -18,6 +18,7 @@
     <div class="context-menu-item" data-action="relink-civitai"><i class="fas fa-link"></i> Re-link to Civitai</div>
     <div class="context-menu-item" data-action="copyname"><i class="fas fa-copy"></i> Copy Model Filename</div>
     <div class="context-menu-item" data-action="preview"><i class="fas fa-folder-open"></i> Open Examples Folder</div>
+    <div class="context-menu-item" data-action="download-examples"><i class="fas fa-download"></i> Download Example Images</div>
     <div class="context-menu-item" data-action="replace-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>
@@ -29,27 +30,7 @@
 
 {% block content %}
     {% include 'components/controls.html' %}
-    
-    <!-- Duplicates banner (hidden by default) -->
-    <div id="duplicatesBanner" class="duplicates-banner" style="display: none;">
-        <div class="banner-content">
-          <i class="fas fa-exclamation-triangle"></i>
-          <span id="duplicatesCount">Found 0 duplicate groups</span>
-          <i class="fas fa-question-circle help-icon" id="duplicatesHelp" aria-label="Help information"></i>
-          <div class="banner-actions">
-            <button class="btn-delete-selected disabled" onclick="modelDuplicatesManager.deleteSelectedDuplicates()">
-              Delete Selected (<span id="duplicatesSelectedCount">0</span>)
-            </button>
-            <button class="btn-exit-mode" onclick="modelDuplicatesManager.exitDuplicateMode()">
-              <i class="fas fa-times"></i> Exit Mode
-            </button>
-          </div>
-        </div>
-        <div class="help-tooltip" id="duplicatesHelpTooltip">
-          <p>Identical hashes mean identical model files, even if they have different names or previews.</p>
-          <p>Keep only one version (preferably with better metadata/previews) and safely delete the others.</p>
-        </div>
-    </div>
+    {% include 'components/duplicates_banner.html' %}
     
     <!-- Checkpoint cards container -->
     <div class="card-grid" id="modelGrid">

templates/components/context_menu.html

@@ -23,6 +23,9 @@
     <div class="context-menu-item" data-action="preview">
         <i class="fas fa-folder-open"></i> Open Examples Folder
     </div>
+    <div class="context-menu-item" data-action="download-examples">
+        <i class="fas fa-download"></i> Download Example Images
+    </div>
     <div class="context-menu-item" data-action="replace-preview">
         <i class="fas fa-image"></i> Replace Preview
     </div>

templates/components/controls.html

@@ -50,14 +50,11 @@
                     <i class="fas fa-cloud-download-alt"></i> Download
                 </button>
             </div>
-            <!-- Conditional buttons based on page -->
-            {% if request.path == '/loras' %}
             <div class="control-group">
                 <button id="bulkOperationsBtn" data-action="bulk" title="Bulk Operations (Press B)">
                     <i class="fas fa-th-large"></i> <span>Bulk <div class="shortcut-key">B</div></span>
                 </button>
             </div>
-            {% endif %}
             <div class="control-group">
                 <button id="findDuplicatesBtn" data-action="find-duplicates" title="Find duplicate models">
                     <i class="fas fa-clone"></i> Duplicates
@@ -119,22 +116,22 @@
             0 selected <i class="fas fa-caret-down dropdown-caret"></i>
         </span>
         <div class="bulk-operations-actions">
-            <button onclick="bulkManager.sendAllLorasToWorkflow()" title="Send all selected LoRAs to workflow">
+            <button data-action="send-to-workflow" title="Send all selected LoRAs to workflow">
                 <i class="fas fa-arrow-right"></i> Send to Workflow
             </button>
-            <button onclick="bulkManager.copyAllLorasSyntax()" title="Copy all selected LoRAs syntax">
+            <button data-action="copy-all" title="Copy all selected LoRAs syntax">
                 <i class="fas fa-copy"></i> Copy All
             </button>
-            <button onclick="bulkManager.refreshAllMetadata()" title="Refresh CivitAI metadata for selected models">
+            <button data-action="refresh-all" title="Refresh CivitAI metadata for selected models">
                 <i class="fas fa-sync-alt"></i> Refresh All
             </button>
-            <button onclick="moveManager.showMoveModal('bulk')" title="Move selected LoRAs to folder">
+            <button data-action="move-all" title="Move selected models to folder">
                 <i class="fas fa-folder-open"></i> Move All
             </button>
-            <button onclick="bulkManager.showBulkDeleteModal()" title="Delete selected LoRAs" class="danger-btn">
+            <button data-action="delete-all" title="Delete selected models" class="danger-btn">
                 <i class="fas fa-trash"></i> Delete All
             </button>
-            <button onclick="bulkManager.clearSelection()" title="Clear selection">
+            <button data-action="clear" title="Clear selection">
                 <i class="fas fa-times"></i> Clear
             </button>
         </div>

templates/components/duplicates_banner.html

@@ -0,0 +1,27 @@
+<!-- Duplicates banner (hidden by default) -->
+<div id="duplicatesBanner" class="duplicates-banner" style="display: none;">
+    <div class="banner-content">
+      <i class="fas fa-exclamation-triangle"></i>
+      <span id="duplicatesCount">Found 0 duplicate groups</span>
+      <i class="fas fa-question-circle help-icon" id="duplicatesHelp" aria-label="Help information"></i>
+      <div class="banner-actions">
+        <div class="setting-contro" id="badgeToggleControl">
+          <span>Show Duplicates Notification:</span>
+          <label class="toggle-switch">
+            <input type="checkbox" id="badgeToggleInput">
+            <span class="toggle-slider"></span>
+          </label>
+        </div>
+        <button class="btn-delete-selected disabled" onclick="modelDuplicatesManager.deleteSelectedDuplicates()">
+          Delete Selected (<span id="duplicatesSelectedCount">0</span>)
+        </button>
+        <button class="btn-exit-mode" onclick="modelDuplicatesManager.exitDuplicateMode()">
+          <i class="fas fa-times"></i> Exit Mode
+        </button>
+      </div>
+    </div>
+    <div class="help-tooltip" id="duplicatesHelpTooltip">
+      <p>Identical hashes mean identical model files, even if they have different names or previews.</p>
+      <p>Keep only one version (preferably with better metadata/previews) and safely delete the others.</p>
+    </div>
+</div>

templates/components/header.html

@@ -86,15 +86,18 @@
       <div class="search-option-tag active" data-option="filename">Filename</div>
       <div class="search-option-tag active" data-option="modelname">Checkpoint Name</div>
       <div class="search-option-tag active" data-option="tags">Tags</div>
+      <div class="search-option-tag" data-option="creator">Creator</div>
       {% elif request.path == '/embeddings' %}
       <div class="search-option-tag active" data-option="filename">Filename</div>
       <div class="search-option-tag active" data-option="modelname">Embedding Name</div>
       <div class="search-option-tag active" data-option="tags">Tags</div>
+      <div class="search-option-tag" data-option="creator">Creator</div>
       {% else %}
       <!-- Default options for LoRAs page -->
       <div class="search-option-tag active" data-option="filename">Filename</div>
       <div class="search-option-tag active" data-option="modelname">Model Name</div>
       <div class="search-option-tag active" data-option="tags">Tags</div>
+      <div class="search-option-tag" data-option="creator">Creator</div>
       {% endif %}
     </div>
   </div>

templates/components/import_modal.html

@@ -1,7 +1,9 @@
 <div id="importModal" class="modal">
     <div class="modal-content">
-        <button class="close" onclick="modalManager.closeModal('importModal')">&times;</button>
-        <h2>Import Recipe</h2>
+        <div class="modal-header">
+            <button class="close" onclick="modalManager.closeModal('importModal')">&times;</button>
+            <h2>Import Recipe</h2>
+        </div>
         
         <!-- Step 1: Upload Image or Input URL -->
         <div class="import-step" id="uploadStep">
@@ -99,42 +101,59 @@
         <!-- Step 3: Download Location (if needed) -->
         <div class="import-step" id="locationStep" style="display: none;">
             <div class="location-selection">
-                <!-- Improved missing LoRAs summary section -->
-                <div class="missing-loras-summary">
-                    <div class="summary-header">
-                        <h3>Missing LoRAs <span class="lora-count-badge">(0)</span> <span id="totalDownloadSize" class="total-size-badge">Calculating...</span></h3>
-                        <button id="toggleMissingLorasList" class="toggle-list-btn">
-                            <i class="fas fa-chevron-down"></i>
-                        </button>
-                    </div>
-                    <div id="missingLorasList" class="missing-loras-list collapsed">
-                        <!-- Missing LoRAs will be populated here -->
-                    </div>
-                </div>
-
-                <!-- Move path preview to top -->
+                <!-- Path preview with inline toggle -->
                 <div class="path-preview">
-                    <label>Download Location Preview:</label>
+                    <div class="path-preview-header">
+                        <label>Download Location Preview:</label>
+                        <div class="inline-toggle-container" title="When enabled, files are automatically organized using configured path templates">
+                            <span class="inline-toggle-label">Use Default Path</span>
+                            <div class="toggle-switch">
+                                <input type="checkbox" id="importUseDefaultPath">
+                                <label for="importUseDefaultPath" class="toggle-slider"></label>
+                            </div>
+                        </div>
+                    </div>
                     <div class="path-display" id="importTargetPathDisplay">
                         <span class="path-text">Select a LoRA root directory</span>
                     </div>
                 </div>
 
+                <!-- Model Root Selection -->
                 <div class="input-group">
-                    <label>Select LoRA Root:</label>
+                    <label for="importLoraRoot">Select LoRA Root:</label>
                     <select id="importLoraRoot"></select>
                 </div>
-                
-                <div class="input-group">
-                    <label>Target Folder:</label>
-                    <div class="folder-browser" id="importFolderBrowser">
-                        <!-- Folders will be populated here -->
+
+                <!-- Manual Path Selection -->
+                <div class="manual-path-selection" id="importManualPathSelection">
+                    <!-- Path input with autocomplete -->
+                    <div class="input-group">
+                        <label for="importFolderPath">Target Folder Path:</label>
+                        <div class="path-input-container">
+                            <input type="text" id="importFolderPath" placeholder="Type folder path or select from tree below..." autocomplete="off" />
+                            <button type="button" id="importCreateFolderBtn" class="create-folder-btn" title="Create new folder">
+                                <i class="fas fa-plus"></i>
+                            </button>
+                        </div>
+                        <div class="path-suggestions" id="importPathSuggestions" style="display: none;"></div>
+                    </div>
+                    
+                    <!-- Breadcrumb navigation -->
+                    <div class="breadcrumb-nav" id="importBreadcrumbNav">
+                        <span class="breadcrumb-item root" data-path="">
+                            <i class="fas fa-home"></i> Root
+                        </span>
+                    </div>
+                    
+                    <!-- Hierarchical folder tree -->
+                    <div class="input-group">
+                        <label>Browse Folders:</label>
+                        <div class="folder-tree-container">
+                            <div class="folder-tree" id="importFolderTree">
+                                <!-- Tree will be loaded dynamically -->
+                            </div>
+                        </div>
                     </div>
-                </div>
-                
-                <div class="input-group">
-                    <label for="importNewFolder">New Folder (optional):</label>
-                    <input type="text" id="importNewFolder" placeholder="Enter folder name">
                 </div>
             </div>
             

templates/components/modals/download_modal.html

@@ -1,8 +1,10 @@
 <!-- Unified Download Modal for all model types -->
 <div id="downloadModal" class="modal">
     <div class="modal-content">
-        <button class="close" id="closeDownloadModal">&times;</button>
-        <h2 id="downloadModalTitle">Download Model from URL</h2>
+        <div class="modal-header">
+            <button class="close" id="closeDownloadModal">&times;</button>
+            <h2 id="downloadModalTitle">Download Model from URL</h2>
+        </div>
         
         <!-- Step 1: URL Input -->
         <div class="download-step" id="urlStep">
@@ -30,27 +32,59 @@
         <!-- Step 3: Location Selection -->
         <div class="download-step" id="locationStep" style="display: none;">
             <div class="location-selection">
-                <!-- Path preview -->
+                <!-- Path preview with inline toggle -->
                 <div class="path-preview">
-                    <label>Download Location Preview:</label>
+                    <div class="path-preview-header">
+                        <label>Download Location Preview:</label>
+                        <div class="inline-toggle-container" title="When enabled, files are automatically organized using configured path templates">
+                            <span class="inline-toggle-label">Use Default Path</span>
+                            <div class="toggle-switch">
+                                <input type="checkbox" id="useDefaultPath">
+                                <label for="useDefaultPath" class="toggle-slider"></label>
+                            </div>
+                        </div>
+                    </div>
                     <div class="path-display" id="targetPathDisplay">
                         <span class="path-text">Select a root directory</span>
                     </div>
                 </div>
 
+                <!-- Model Root Selection (always visible) -->
                 <div class="input-group">
                     <label for="modelRoot" id="modelRootLabel">Select Model Root:</label>
                     <select id="modelRoot"></select>
                 </div>
-                <div class="input-group">
-                    <label>Target Folder:</label>
-                    <div class="folder-browser" id="folderBrowser">
-                        <!-- Folders will be loaded dynamically -->
+
+                <!-- Manual Path Selection (hidden when using default path) -->
+                <div class="manual-path-selection" id="manualPathSelection">
+                    <!-- Path input with autocomplete -->
+                    <div class="input-group">
+                        <label for="folderPath">Target Folder Path:</label>
+                        <div class="path-input-container">
+                            <input type="text" id="folderPath" placeholder="Type folder path or select from tree below..." autocomplete="off" />
+                            <button type="button" id="createFolderBtn" class="create-folder-btn" title="Create new folder">
+                                <i class="fas fa-plus"></i>
+                            </button>
+                        </div>
+                        <div class="path-suggestions" id="pathSuggestions" style="display: none;"></div>
+                    </div>
+                    
+                    <!-- Breadcrumb navigation -->
+                    <div class="breadcrumb-nav" id="breadcrumbNav">
+                        <span class="breadcrumb-item root" data-path="">
+                            <i class="fas fa-home"></i> Root
+                        </span>
+                    </div>
+                    
+                    <!-- Hierarchical folder tree -->
+                    <div class="input-group">
+                        <label>Browse Folders:</label>
+                        <div class="folder-tree-container">
+                            <div class="folder-tree" id="folderTree">
+                                <!-- Tree will be loaded dynamically -->
+                            </div>
+                        </div>
                     </div>
-                </div>
-                <div class="input-group">
-                    <label for="newFolder">New Folder (optional):</label>
-                    <input type="text" id="newFolder" placeholder="Enter folder name" />
                 </div>
             </div>
             <div class="modal-actions">

templates/components/modals/move_modal.html

@@ -6,26 +6,46 @@
             <span class="close" onclick="modalManager.closeModal('moveModal')">&times;</span>
         </div>
         <div class="location-selection">
+            <!-- Path preview -->
             <div class="path-preview">
                 <label>Target Location Preview:</label>
                 <div class="path-display" id="moveTargetPathDisplay">
-                    <span class="path-text">Select a LoRA root directory</span>
+                    <span class="path-text">Select a model root directory</span>
                 </div>
             </div>
 
             <div class="input-group">
-                <label>Select LoRA Root:</label>
-                <select id="moveLoraRoot"></select>
+                <label for="moveModelRoot" id="moveRootLabel">Select Model Root:</label>
+                <select id="moveModelRoot"></select>
             </div>
+            
+            <!-- Path input with autocomplete -->
             <div class="input-group">
-                <label>Target Folder:</label>
-                <div class="folder-browser" id="moveFolderBrowser">
-                    <!-- Folders will be loaded dynamically -->
+                <label for="moveFolderPath">Target Folder Path:</label>
+                <div class="path-input-container">
+                    <input type="text" id="moveFolderPath" placeholder="Type folder path or select from tree below..." autocomplete="off" />
+                    <button type="button" id="moveCreateFolderBtn" class="create-folder-btn" title="Create new folder">
+                        <i class="fas fa-plus"></i>
+                    </button>
                 </div>
+                <div class="path-suggestions" id="movePathSuggestions" style="display: none;"></div>
             </div>
+            
+            <!-- Breadcrumb navigation -->
+            <div class="breadcrumb-nav" id="moveBreadcrumbNav">
+                <span class="breadcrumb-item root" data-path="">
+                    <i class="fas fa-home"></i> Root
+                </span>
+            </div>
+            
+            <!-- Hierarchical folder tree -->
             <div class="input-group">
-                <label for="moveNewFolder">New Folder (optional):</label>
-                <input type="text" id="moveNewFolder" placeholder="Enter folder name" />
+                <label>Browse Folders:</label>
+                <div class="folder-tree-container">
+                    <div class="folder-tree" id="moveFolderTree">
+                        <!-- Tree will be loaded dynamically -->
+                    </div>
+                </div>
             </div>
         </div>
         <div class="modal-actions">

templates/components/modals/settings_modal.html

@@ -90,6 +90,57 @@
                     </div>
                 </div>
             </div>
+
+            <!-- Add Layout Settings Section -->
+            <div class="settings-section">
+                <h3>Layout Settings</h3>
+                
+                <div class="setting-item">
+                    <div class="setting-row">
+                        <div class="setting-info">
+                            <label for="displayDensity">Display Density</label>
+                        </div>
+                        <div class="setting-control select-control">
+                            <select id="displayDensity" onchange="settingsManager.saveSelectSetting('displayDensity', 'display_density')">
+                                <option value="default">Default</option>
+                                <option value="medium">Medium</option>
+                                <option value="compact">Compact</option>
+                            </select>
+                        </div>
+                    </div>
+                    <div class="input-help">
+                        Choose how many cards to display per row:
+                        <ul class="list-description">
+                            <li><strong>Default:</strong> 5 (1080p), 6 (2K), 8 (4K)</li>
+                            <li><strong>Medium:</strong> 6 (1080p), 7 (2K), 9 (4K)</li>
+                            <li><strong>Compact:</strong> 7 (1080p), 8 (2K), 10 (4K)</li>
+                        </ul>
+                        <span class="warning-text">Warning: Higher densities may cause performance issues on systems with limited resources.</span>
+                    </div>
+                </div>
+                
+                <!-- Add Card Info Display setting -->
+                <div class="setting-item">
+                    <div class="setting-row">
+                        <div class="setting-info">
+                            <label for="cardInfoDisplay">Card Info Display</label>
+                        </div>
+                        <div class="setting-control select-control">
+                            <select id="cardInfoDisplay" onchange="settingsManager.saveSelectSetting('cardInfoDisplay', 'card_info_display')">
+                                <option value="always">Always Visible</option>
+                                <option value="hover">Reveal on Hover</option>
+                            </select>
+                        </div>
+                    </div>
+                    <div class="input-help">
+                        Choose when to display model information and action buttons:
+                        <ul class="list-description">
+                            <li><strong>Always Visible:</strong> Headers and footers are always visible</li>
+                            <li><strong>Reveal on Hover:</strong> Headers and footers only appear when hovering over a card</li>
+                        </ul>
+                    </div>
+                </div>
+            </div>
             
             <!-- Add Folder Settings Section -->
             <div class="settings-section">
@@ -149,108 +200,121 @@
 
             <!-- Default Path Customization Section -->
             <div class="settings-section">
-                <h3>Default Path Customization</h3>
+                <h3>Download Path Templates</h3>
                 
                 <div class="setting-item">
-                    <div class="setting-row">
-                        <div class="setting-info">
-                            <label for="downloadPathTemplate">Download Path Template</label>
-                        </div>
-                        <div class="setting-control select-control">
-                            <select id="downloadPathTemplate" onchange="settingsManager.saveSelectSetting('downloadPathTemplate', 'download_path_template')">
-                                <option value="">Flat Structure</option>
-                                <option value="{base_model}">By Base Model</option>
-                                <option value="{first_tag}">By First Tag</option>
-                                <option value="{base_model}/{first_tag}">Base Model + First Tag</option>
-                            </select>
-                        </div>
-                    </div>
                     <div class="input-help">
-                        Configure path structure for default download locations
-                        <ul class="list-description">
-                            <li><strong>Flat:</strong> All models in root folder</li>
-                            <li><strong>Base Model:</strong> Organized by model type (e.g., Flux.1 D, SDXL)</li>
-                            <li><strong>First Tag:</strong> Organized by primary tag (e.g., style, character)</li>
-                            <li><strong>Base Model + Tag:</strong> Two-level organization for better structure</li>
-                        </ul>
+                        Configure folder structures for different model types when downloading from Civitai.
+                        <div class="placeholder-info">
+                            <strong>Available placeholders:</strong>
+                            <span class="placeholder-tag">{base_model}</span>
+                            <span class="placeholder-tag">{author}</span>
+                            <span class="placeholder-tag">{first_tag}</span>
+                        </div>
                     </div>
-                    <div id="pathTemplatePreview" class="template-preview"></div>
                 </div>
 
+                <!-- LoRA Template Configuration -->
                 <div class="setting-item">
                     <div class="setting-row">
                         <div class="setting-info">
-                            <label>Base Model Path Mappings</label>
-                        </div>
-                        <div class="setting-control">
-                            <button type="button" class="add-mapping-btn" onclick="settingsManager.addMappingRow()">
-                                <i class="fas fa-plus"></i>
-                                <span>Add Mapping</span>
-                            </button>
-                        </div>
-                    </div>
-                    <div class="input-help">
-                        Customize folder names for specific base models (e.g., "Flux.1 D" → "flux")
-                    </div>
-                    <div class="mappings-container">
-                        <div id="baseModelMappingsContainer">
-                            <!-- Mapping rows will be added dynamically -->
-                        </div>
-                    </div>
-                </div>
-            </div>
-            
-            <!-- Add Layout Settings Section -->
-            <div class="settings-section">
-                <h3>Layout Settings</h3>
-                
-                <div class="setting-item">
-                    <div class="setting-row">
-                        <div class="setting-info">
-                            <label for="displayDensity">Display Density</label>
+                            <label for="loraTemplatePreset">LoRA</label>
                         </div>
                         <div class="setting-control select-control">
-                            <select id="displayDensity" onchange="settingsManager.saveSelectSetting('displayDensity', 'display_density')">
-                                <option value="default">Default</option>
-                                <option value="medium">Medium</option>
-                                <option value="compact">Compact</option>
+                            <select id="loraTemplatePreset" onchange="settingsManager.updateTemplatePreset('lora', this.value)">
+                                <option value="">Flat Structure</option>
+                                <option value="{base_model}">By Base Model</option>
+                                <option value="{author}">By Author</option>
+                                <option value="{first_tag}">By First Tag</option>
+                                <option value="{base_model}/{first_tag}">Base Model + First Tag</option>
+                                <option value="{base_model}/{author}">Base Model + Author</option>
+                                <option value="{author}/{first_tag}">Author + First Tag</option>
+                                <option value="custom">Custom Template</option>
                             </select>
                         </div>
                     </div>
-                    <div class="input-help">
-                        Choose how many cards to display per row:
-                        <ul class="list-description">
-                            <li><strong>Default:</strong> 5 (1080p), 6 (2K), 8 (4K)</li>
-                            <li><strong>Medium:</strong> 6 (1080p), 7 (2K), 9 (4K)</li>
-                            <li><strong>Compact:</strong> 7 (1080p), 8 (2K), 10 (4K)</li>
-                        </ul>
-                        <span class="warning-text">Warning: Higher densities may cause performance issues on systems with limited resources.</span>
+                    <div class="template-custom-row" id="loraCustomRow" style="display: none;">
+                        <input type="text" id="loraCustomTemplate" class="template-custom-input" placeholder="Enter custom template (e.g., {base_model}/{author}/{first_tag})" />
+                        <div class="template-validation" id="loraValidation"></div>
                     </div>
+                    <div class="template-preview" id="loraPreview"></div>
                 </div>
-                
-                <!-- Add Card Info Display setting -->
+
+                <!-- Checkpoint Template Configuration -->
                 <div class="setting-item">
                     <div class="setting-row">
                         <div class="setting-info">
-                            <label for="cardInfoDisplay">Card Info Display</label>
+                            <label for="checkpointTemplatePreset">Checkpoint</label>
                         </div>
                         <div class="setting-control select-control">
-                            <select id="cardInfoDisplay" onchange="settingsManager.saveSelectSetting('cardInfoDisplay', 'card_info_display')">
-                                <option value="always">Always Visible</option>
-                                <option value="hover">Reveal on Hover</option>
+                            <select id="checkpointTemplatePreset" onchange="settingsManager.updateTemplatePreset('checkpoint', this.value)">
+                                <option value="">Flat Structure</option>
+                                <option value="{base_model}">By Base Model</option>
+                                <option value="{author}">By Author</option>
+                                <option value="{first_tag}">By First Tag</option>
+                                <option value="{base_model}/{first_tag}">Base Model + First Tag</option>
+                                <option value="{base_model}/{author}">Base Model + Author</option>
+                                <option value="{author}/{first_tag}">Author + First Tag</option>
+                                <option value="custom">Custom Template</option>
                             </select>
                         </div>
                     </div>
-                    <div class="input-help">
-                        Choose when to display model information and action buttons:
-                        <ul class="list-description">
-                            <li><strong>Always Visible:</strong> Headers and footers are always visible</li>
-                            <li><strong>Reveal on Hover:</strong> Headers and footers only appear when hovering over a card</li>
-                        </ul>
+                    <div class="template-custom-row" id="checkpointCustomRow" style="display: none;">
+                        <input type="text" id="checkpointCustomTemplate" class="template-custom-input" placeholder="Enter custom template (e.g., {base_model}/{author}/{first_tag})" />
+                        <div class="template-validation" id="checkpointValidation"></div>
+                    </div>
+                    <div class="template-preview" id="checkpointPreview"></div>
+                </div>
+
+                <!-- Embedding Template Configuration -->
+                <div class="setting-item">
+                    <div class="setting-row">
+                        <div class="setting-info">
+                            <label for="embeddingTemplatePreset">Embedding</label>
+                        </div>
+                        <div class="setting-control select-control">
+                            <select id="embeddingTemplatePreset" onchange="settingsManager.updateTemplatePreset('embedding', this.value)">
+                                <option value="">Flat Structure</option>
+                                <option value="{base_model}">By Base Model</option>
+                                <option value="{author}">By Author</option>
+                                <option value="{first_tag}">By First Tag</option>
+                                <option value="{base_model}/{first_tag}">Base Model + First Tag</option>
+                                <option value="{base_model}/{author}">Base Model + Author</option>
+                                <option value="{author}/{first_tag}">Author + First Tag</option>
+                                <option value="custom">Custom Template</option>
+                            </select>
+                        </div>
+                    </div>
+                    <div class="template-custom-row" id="embeddingCustomRow" style="display: none;">
+                        <input type="text" id="embeddingCustomTemplate" class="template-custom-input" placeholder="Enter custom template (e.g., {base_model}/{author}/{first_tag})" />
+                        <div class="template-validation" id="embeddingValidation"></div>
+                    </div>
+                    <div class="template-preview" id="embeddingPreview"></div>
+                </div>
+            </div>
+
+            <div class="setting-item">
+                <div class="setting-row">
+                    <div class="setting-info">
+                        <label>Base Model Path Mappings</label>
+                    </div>
+                    <div class="setting-control">
+                        <button type="button" class="add-mapping-btn" onclick="settingsManager.addMappingRow()">
+                            <i class="fas fa-plus"></i>
+                            <span>Add Mapping</span>
+                        </button>
+                    </div>
+                </div>
+                <div class="input-help">
+                    Customize folder names for specific base models (e.g., "Flux.1 D" → "flux")
+                </div>
+                <div class="mappings-container">
+                    <div id="baseModelMappingsContainer">
+                        <!-- Mapping rows will be added dynamically -->
                     </div>
                 </div>
             </div>
-            
+
             <!-- Add Example Images Settings Section -->
             <div class="settings-section">
                 <h3>Example Images</h3>
@@ -272,6 +336,24 @@
                     </div>
                 </div>
                 
+                <div class="setting-item">
+                    <div class="setting-row">
+                        <div class="setting-info">
+                            <label for="autoDownloadExampleImages">Auto Download Example Images</label>
+                        </div>
+                        <div class="setting-control">
+                            <label class="toggle-switch">
+                                <input type="checkbox" id="autoDownloadExampleImages" checked 
+                                       onchange="settingsManager.saveToggleSetting('autoDownloadExampleImages', 'auto_download_example_images')">
+                                <span class="toggle-slider"></span>
+                            </label>
+                        </div>
+                    </div>
+                    <div class="input-help">
+                        Automatically download example images for models that don't have them (requires download location to be set)
+                    </div>
+                </div>
+                
                 <div class="setting-item">
                     <div class="setting-row">
                         <div class="setting-info">
@@ -290,6 +372,28 @@
                     </div>
                 </div>
             </div>
+            
+            <!-- Misc. Section -->
+            <div class="settings-section">
+                <h3>Misc.</h3>
+                <div class="setting-item">
+                    <div class="setting-row">
+                        <div class="setting-info">
+                            <label for="includeTriggerWords">Include Trigger Words in LoRA Syntax</label>
+                        </div>
+                        <div class="setting-control">
+                            <label class="toggle-switch">
+                                <input type="checkbox" id="includeTriggerWords" 
+                                       onchange="settingsManager.saveToggleSetting('includeTriggerWords', 'include_trigger_words')">
+                                <span class="toggle-slider"></span>
+                            </label>
+                        </div>
+                    </div>
+                    <div class="input-help">
+                        Include trained trigger words when copying LoRA syntax to clipboard
+                    </div>
+                </div>
+            </div>
         </div>
     </div>
 </div>

templates/embeddings.html

@@ -9,7 +9,7 @@
 
 {% block init_title %}Initializing Embeddings Manager{% endblock %}
 {% block init_message %}Scanning and building embeddings cache. This may take a few moments...{% endblock %}
-{% block init_check_url %}/api/embeddings?page=1&page_size=1{% endblock %}
+{% block init_check_url %}/api/embeddings/list?page=1&page_size=1{% endblock %}
 
 {% block additional_components %}
 
@@ -18,6 +18,7 @@
     <div class="context-menu-item" data-action="relink-civitai"><i class="fas fa-link"></i> Re-link to Civitai</div>
     <div class="context-menu-item" data-action="copyname"><i class="fas fa-copy"></i> Copy Model Filename</div>
     <div class="context-menu-item" data-action="preview"><i class="fas fa-folder-open"></i> Open Examples Folder</div>
+    <div class="context-menu-item" data-action="download-examples"><i class="fas fa-download"></i> Download Example Images</div>
     <div class="context-menu-item" data-action="replace-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>
@@ -29,27 +30,7 @@
 
 {% block content %}
     {% include 'components/controls.html' %}
-    
-    <!-- Duplicates banner (hidden by default) -->
-    <div id="duplicatesBanner" class="duplicates-banner" style="display: none;">
-        <div class="banner-content">
-          <i class="fas fa-exclamation-triangle"></i>
-          <span id="duplicatesCount">Found 0 duplicate groups</span>
-          <i class="fas fa-question-circle help-icon" id="duplicatesHelp" aria-label="Help information"></i>
-          <div class="banner-actions">
-            <button class="btn-delete-selected disabled" onclick="modelDuplicatesManager.deleteSelectedDuplicates()">
-              Delete Selected (<span id="duplicatesSelectedCount">0</span>)
-            </button>
-            <button class="btn-exit-mode" onclick="modelDuplicatesManager.exitDuplicateMode()">
-              <i class="fas fa-times"></i> Exit Mode
-            </button>
-          </div>
-        </div>
-        <div class="help-tooltip" id="duplicatesHelpTooltip">
-          <p>Identical hashes mean identical model files, even if they have different names or previews.</p>
-          <p>Keep only one version (preferably with better metadata/previews) and safely delete the others.</p>
-        </div>
-    </div>
+    {% include 'components/duplicates_banner.html' %}
     
     <!-- Embedding cards container -->
     <div class="card-grid" id="modelGrid">

templates/loras.html

@@ -11,32 +11,12 @@
 
 {% block init_title %}Initializing LoRA Manager{% endblock %}
 {% block init_message %}Scanning and building LoRA cache. This may take a few minutes...{% endblock %}
-{% block init_check_url %}/api/loras?page=1&page_size=1{% endblock %}
+{% block init_check_url %}/api/loras/list?page=1&page_size=1{% endblock %}
 
 {% block content %}
     {% include 'components/controls.html' %}
     {% include 'components/alphabet_bar.html' %}
-    
-    <!-- Duplicates banner (hidden by default) -->
-    <div id="duplicatesBanner" class="duplicates-banner" style="display: none;">
-        <div class="banner-content">
-          <i class="fas fa-exclamation-triangle"></i>
-          <span id="duplicatesCount">Found 0 duplicate groups</span>
-          <i class="fas fa-question-circle help-icon" id="duplicatesHelp" aria-label="Help information"></i>
-          <div class="banner-actions">
-            <button class="btn-delete-selected disabled" onclick="modelDuplicatesManager.deleteSelectedDuplicates()">
-              Delete Selected (<span id="duplicatesSelectedCount">0</span>)
-            </button>
-            <button class="btn-exit-mode" onclick="modelDuplicatesManager.exitDuplicateMode()">
-              <i class="fas fa-times"></i> Exit Mode
-            </button>
-          </div>
-        </div>
-        <div class="help-tooltip" id="duplicatesHelpTooltip">
-          <p>Identical hashes mean identical model files, even if they have different names or previews.</p>
-          <p>Keep only one version (preferably with better metadata/previews) and safely delete the others.</p>
-        </div>
-    </div>
+    {% include 'components/duplicates_banner.html' %}
     
     <!-- Lora卡片容器 -->
     <div class="card-grid" id="modelGrid">