ComfyUI-QwenImageLoraLoader
A ComfyUI custom node for loading and applying LoRA (Low-Rank Adaptation) to Nunchaku Qwen Image models.
This project is based on the fork version of ComfyUI-nunchaku-qwen-lora-suport-standalone.
Source
This LoRA loader was extracted and modified from the fork version:
- Original Fork: ComfyUI-nunchaku-qwen-lora-suport-standalone
- Extraction: LoRA functionality was extracted from the full fork to create an independent custom node
- Integration: Modified to work with the official ComfyUI-nunchaku plugin
Features
- NunchakuQwenImageLoraLoader: Load and apply single LoRA to Qwen Image models
- NunchakuQwenImageLoraStack: Apply multiple LoRAs with dynamic UI control
- Dynamic VRAM Management: Automatic CPU offloading based on available VRAM
- LoRA Composition: Efficient LoRA stacking and composition
- ComfyUI Integration: Seamless integration with ComfyUI workflows
Installation
Quick Installation (Recommended)
- Clone this repository to your ComfyUI custom_nodes directory:
git clone https://github.com/ussoewwin/ComfyUI-QwenImageLoraLoader.git
-
Ensure you have the official ComfyUI-nunchaku plugin installed (which includes nunchaku as a dependency).
-
Run the installation script:
- Double-click
install_qwen_lora.batto automatically configure the integration - This script will automatically modify the ComfyUI-nunchaku
__init__.pyfile - Restart ComfyUI
- Double-click
Manual Installation
If you prefer manual installation, see INSTALLATION.md for detailed instructions.
Integration with ComfyUI-nunchaku
IMPORTANT: This node requires modification of the official ComfyUI-nunchaku plugin to function properly.
Required Modification
You must modify the __init__.py file in your ComfyUI-nunchaku plugin to import this LoRA loader:
try:
# Import from the independent ComfyUI-QwenImageLoraLoader
import sys
import os
qwen_lora_path = os.path.join(os.path.dirname(__file__), "..", "ComfyUI-QwenImageLoraLoader")
if qwen_lora_path not in sys.path:
sys.path.insert(0, qwen_lora_path)
# Import directly from the file path
import importlib.util
spec = importlib.util.spec_from_file_location("qwenimage", os.path.join(qwen_lora_path, "nodes", "lora", "qwenimage.py"))
qwenimage_module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(qwenimage_module)
NunchakuQwenImageLoraLoader = qwenimage_module.NunchakuQwenImageLoraLoader
NunchakuQwenImageLoraStack = qwenimage_module.NunchakuQwenImageLoraStack
NODE_CLASS_MAPPINGS["NunchakuQwenImageLoraLoader"] = NunchakuQwenImageLoraLoader
NODE_CLASS_MAPPINGS["NunchakuQwenImageLoraStack"] = NunchakuQwenImageLoraStack
logger.info("Successfully imported Qwen Image LoRA loaders from ComfyUI-QwenImageLoraLoader")
except ImportError:
logger.exception("Nodes `NunchakuQwenImageLoraLoader` and `NunchakuQwenImageLoraStack` import failed:")
Why This Modification is Required
- The independent LoRA loader exists as a separate custom node
- The official ComfyUI-nunchaku plugin needs to reference the independent LoRA loader
- Standard
from ... import ...fails due to different package structures importlib.utilallows direct module loading from file paths
Automated Installation (Recommended)
Instead of manually editing the code above, you can use the included batch file for automatic installation:
-
Run the installation script:
- Double-click
install_qwen_lora.batto automatically configure the integration - This script will automatically add the required code to ComfyUI-nunchaku's
__init__.py - The script includes automatic backup, error checking, and user feedback
- Restart ComfyUI after installation
- Double-click
-
Uninstall if needed:
- Double-click
uninstall_qwen_lora.batto restore the original configuration - This will restore the backup and remove the integration code
- Double-click
Usage
Available Nodes
- NunchakuQwenImageLoraLoader: Single LoRA loader
- NunchakuQwenImageLoraStack: Multi LoRA stacker with dynamic UI
Basic Usage
- Load your Nunchaku Qwen Image model using
Nunchaku Qwen Image DiT Loader - Add either
NunchakuQwenImageLoraLoaderorNunchakuQwenImageLoraStacknode - Select your LoRA file and set the strength
- Connect to your workflow
Dynamic UI Control
The NunchakuQwenImageLoraStack node automatically adjusts the number of visible LoRA slots based on the lora_count parameter (1-10).
Features
- Easy Installation: Automated installation script included
- Automatic Integration: No manual code editing required
- Backup & Restore: Automatic backup of original files
- Cross-Platform: Works on Windows with batch files
- Error Handling: Comprehensive error checking and user feedback
Requirements
- ComfyUI
- ComfyUI-nunchaku plugin (with required modification)
- PyTorch
- Python 3.10+
Compatibility
This node is designed to work with:
- ComfyUI-nunchaku plugin (modified)
- Nunchaku Qwen Image models
- Standard ComfyUI workflows
License
This project is licensed under the MIT License.