ComfyUI Extension: ComfyUI-Lora-Manager

Authored by willmiao

Created

Updated

655 stars

Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!

Custom Nodes (8)

README

ComfyUI LoRA Manager

Revolutionize your workflow with the ultimate LoRA companion for ComfyUI!

Discord Release Release Date

A comprehensive toolset that streamlines organizing, downloading, and applying LoRA models in ComfyUI. With powerful features like recipe management, checkpoint organization, and one-click workflow integration, working with models becomes faster, smoother, and significantly easier. Access the interface at: http://localhost:8188/loras

Interface Preview

📺 Tutorial: One-Click LoRA Integration

Watch this quick tutorial to learn how to use the new one-click LoRA integration feature:

One-Click LoRA Integration Tutorial

🌐 Browser Extension

Enhance your Civitai browsing experience with our companion browser extension! See which models you already have, download new ones with a single click, and manage your downloads efficiently.

LM Civitai Extension Preview

<div> <a href="https://chromewebstore.google.com/detail/lm-civitai-extension/capigligggeijgmocnaflanlbghnamgm?utm_source=item-share-cb" style="display: inline-block; background-color: #4285F4; color: white; padding: 8px 16px; text-decoration: none; border-radius: 4px; font-weight: bold; margin: 10px 0;"> <img src="https://www.google.com/chrome/static/images/chrome-logo.svg" width="20" style="vertical-align: middle; margin-right: 8px;"> Get Extension from Chrome Web Store </a> </div> <div id="firefox-install" class="install-ok"><a href="https://github.com/willmiao/lm-civitai-extension-firefox/releases/latest/download/extension.xpi">📦 Install Firefox Extension (reviewed and verified by Mozilla)</a></div>

📚 Learn More: Complete Tutorial

Release Notes

v0.9.3

  • Metadata Archive Database Support - Added the ability to download and utilize a metadata archive database, enabling access to metadata for models that have been deleted from CivitAI.
  • App-Level Proxy Settings - Introduced support for configuring a global proxy within the application, making it easier to use the manager behind network restrictions.
  • Bug Fixes - Various bug fixes for improved stability and reliability.

v0.9.2

  • Bulk Auto-Organization Action - Added a new bulk auto-organization feature. You can now select multiple models and automatically organize them according to your current path template settings for streamlined management.
  • Bug Fixes - Addressed several bugs to improve stability and reliability.

v0.9.1

  • Enhanced Bulk Operations - Improved bulk operations with Marquee Selection and a bulk operation context menu, providing a more intuitive, desktop-application-like user experience.
  • New Bulk Actions - Added bulk operations for adding tags and setting base models to multiple models simultaneously.

v0.9.0

  • UI Overhaul for Enhanced Navigation - Replaced the top flat folder tags with a new folder sidebar and breadcrumb navigation system for a more intuitive folder browsing and selection experience.
  • Dual-Mode Folder Sidebar - The new folder sidebar offers two display modes: 'List Mode,' which mirrors the classic folder view, and 'Tree Mode,' which presents a hierarchical folder structure for effortless navigation through nested directories.
  • Internationalization Support - Introduced multi-language support, now available in English, Simplified Chinese, Traditional Chinese, Spanish, Japanese, Korean, French, Russian, and German. Feedback from native speakers is welcome to improve the translations.
  • Automatic Filename Conflict Resolution - Implemented automatic file renaming (original name + short hash) to prevent conflicts when downloading or moving models.
  • Performance Optimizations & Bug Fixes - Various performance improvements and bug fixes for a more stable and responsive experience.

v0.8.30

  • Automatic Model Path Correction - Added auto-correction for model paths in built-in nodes such as Load Checkpoint, Load Diffusion Model, Load LoRA, and other custom nodes with similar functionality. Workflows containing outdated or incorrect model paths will now be automatically updated to reflect the current location of your models.
  • Node UI Enhancements - Improved node interface for a smoother and more intuitive user experience.
  • Bug Fixes - Addressed various bugs to enhance stability and reliability.

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.

View Update History

⚠ Important Note: To use the CivitAI download feature, you'll need to:

  1. Get your CivitAI API key from your profile settings
  2. Add it to the LoRA Manager settings page
  3. Save the settings

Key Features

  • 🚀 High Performance
    • Fast model loading and browsing
    • Smooth scrolling through large collections
  • 🌐 Rich Model Integration
    • Direct download from CivitAI
    • Preview images and videos
    • Model descriptions and version selection
    • Trigger words at a glance
    • One-click workflow integration with preset values
  • 🔄 Checkpoint Management
    • Scan and organize checkpoint models
    • Filter and search your collection
    • View and edit metadata
    • Clean up and manage disk space
  • 🧩 LoRA Recipes
    • Save and share favorite LoRA combinations
    • Preserve generation parameters for future reference
    • Quick application to workflows
    • Import/export functionality for community sharing
  • 💻 User Friendly
    • One-click access from ComfyUI menu
    • Context menu for quick actions
    • Custom notes and usage tips
    • Multi-folder support
    • Visual progress indicators during initialization

Installation

Option 1: ComfyUI Manager (Recommended for ComfyUI users)

  1. Open ComfyUI.
  2. Go to Manager > Custom Node Manager.
  3. Search for lora-manager.
  4. Click Install.

Option 2: Portable Standalone Edition (No ComfyUI required)

  1. Download the Portable Package
  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

git clone https://github.com/willmiao/ComfyUI-Lora-Manager.git
cd ComfyUI-Lora-Manager
pip install -r requirements.txt

Usage

  1. There are two ways to access the LoRA manager:
    • Click the "Launch LoRA Manager" button in the ComfyUI menu
    • Visit http://localhost:8188/loras directly
  2. From the interface, you can:
    • Browse and organize your LoRA models
    • Download models directly from CivitAI
    • Automatically fetch or manually set preview images
    • View and copy trigger words associated with each LoRA
    • Add personal notes and usage tips
  3. To use LoRAs in your workflow:
    • Add the "Lora Loader (LoraManager)" node to your workflow
    • Select a LoRA in the manager interface
    • Click copy button or use right-click menu "Copy LoRA syntax"
    • Paste into the Lora Loader node's text input
    • The node will automatically apply preset strength and trigger words

Filename Format Patterns for Save Image Node

The Save Image Node supports dynamic filename generation using pattern codes. You can customize how your images are named using the following format patterns:

Available Pattern Codes

  • %seed% - Inserts the generation seed number
  • %width% - Inserts the image width
  • %height% - Inserts the image height
  • %pprompt:N% - Inserts the positive prompt (limited to N characters)
  • %nprompt:N% - Inserts the negative prompt (limited to N characters)
  • %model:N% - Inserts the model/checkpoint name (limited to N characters)
  • %date% - Inserts current date/time as "yyyyMMddhhmmss"
  • %date:FORMAT% - Inserts date using custom format with:
    • yyyy - 4-digit year
    • yy - 2-digit year
    • MM - 2-digit month
    • dd - 2-digit day
    • hh - 2-digit hour
    • mm - 2-digit minute
    • ss - 2-digit second

Examples

  • image_%seed% → image_1234567890
  • gen_%width%x%height% → gen_512x768
  • %model:10%_%seed% → dreamshape_1234567890
  • %date:yyyy-MM-dd% → 2025-04-28
  • %pprompt:20%_%seed% → beautiful landscape_1234567890
  • %model%_%date:yyMMdd%_%seed% → dreamshaper_v8_250428_1234567890

You can combine multiple patterns to create detailed, organized filenames for your generated images.

Standalone Mode

You can now run LoRA Manager independently from ComfyUI:

  1. For ComfyUI users:

    • Launch ComfyUI with LoRA Manager at least once to initialize the necessary path information in the settings.json file.
    • Make sure dependencies are installed: pip install -r requirements.txt
    • From your ComfyUI root directory, run: 
      python custom_nodes\comfyui-lora-manager\standalone.py
    • Access the interface at: http://localhost:8188/loras
    • You can specify a different host or port with arguments: 
      python custom_nodes\comfyui-lora-manager\standalone.py --host 127.0.0.1 --port 9000

  2. For non-ComfyUI users:

    • Copy the provided settings.json.example file to create a new file named settings.json
    • Edit settings.json to include your correct model folder paths and CivitAI API key
    • Install required dependencies: pip install -r requirements.txt
    • Run standalone mode: 
      python standalone.py
    • Access the interface through your browser at: http://localhost:8188/loras

This standalone mode provides a lightweight option for managing your model and recipe collection without needing to run the full ComfyUI environment, making it useful even for users who primarily use other stable diffusion interfaces.

Testing & Coverage

Backend

Install the development dependencies and run pytest with coverage reports:

pip install -r requirements-dev.txt
COVERAGE_FILE=coverage/backend/.coverage pytest \
  --cov=py \
  --cov=standalone \
  --cov-report=term-missing \
  --cov-report=html:coverage/backend/html \
  --cov-report=xml:coverage/backend/coverage.xml \
  --cov-report=json:coverage/backend/coverage.json

HTML, XML, and JSON artifacts are stored under coverage/backend/ so you can inspect hot spots locally or from CI artifacts.

Frontend

Run the Vitest coverage suite to analyze widget hot spots:

npm run test:coverage

Contributing

Thank you for your interest in contributing to ComfyUI LoRA Manager! As this project is currently in its early stages and undergoing rapid development and refactoring, we are temporarily not accepting pull requests.

However, your feedback and ideas are extremely valuable to us:

  • Please feel free to open issues for any bugs you encounter
  • Submit feature requests through GitHub issues
  • Share your suggestions for improvements

We appreciate your understanding and look forward to potentially accepting code contributions once the project architecture stabilizes.

Credits

This project has been inspired by and benefited from other excellent ComfyUI extensions:

☕ Support

If you find this project helpful, consider supporting its development:

ko-fi

Patreon

WeChat: Click to view QR code

💬 Community

Join our Discord community for support, discussions, and updates: Discord Server

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