A set of professional ComfyUI custom nodes designed to manage LoRA trigger words efficiently. Seamlessly read, edit, and save trigger words in WebUI (Automatic1111) compatible JSON format.

✨ Features

📖 Auto-Read: Automatically reads .json or .txt metadata associated with your LoRA from the same directory.
🌐 Smart Lookup: (New!) If no local metadata exists, it automatically calculates the model hash (AutoV3/V2), queries Civitai for trigger words, and generates a config file.
✍️ Read & Edit: Not only reads tags but allows you to edit and save them directly within the node.
🔄 WebUI Alignment: Saves files strictly following the A1111 WebUI standard JSON format (e.g., "activation text", "sd version"), ensuring full cross-software compatibility and data preservation.
🔗 Auto-Merge: Whether chaining single nodes or using a stack, all trigger words are automatically concatenated with commas. No need for extra text concatenation nodes.
🐍 Pure Python: Zero frontend dependencies, stable performance, and no complex installation steps.

📦 Nodes

1. DvD LoRA Loader (Trigger Words)

Standard LoRA loader with MODEL and CLIP connections.

Inputs: Model, Clip, LoRA Name, Strength.
Mode: Read (Default) or Save.
Edit Text: Input new trigger words here when in Save mode.
Pre_text (Optional): Connect string from previous node to append.

2. DvD LoRA Loader (Model Only)

Optimized for FLUX/SD3 or workflows where you only need to modify the model weights without affecting CLIP directly (or handling CLIP separately).

3. DvD LoRA Stack (Multi-Merge)

Load 3 LoRAs at once.

Merge Logic: Automatically combines trigger words from all 3 LoRAs + pre_text.
Save Target: Select which LoRA (1, 2, or 3) to update when saving.

🚀 Installation

Navigate to your ComfyUI custom nodes directory:
```
cd ComfyUI/custom_nodes/
```

Clone this repository:

git clone https://github.com/idvdii/ComfyUI-DvD-LoraTriggerwordsManager.git

Restart ComfyUI.

🛠 Usage

1. Read Mode

Just select a LoRA. The node will automatically read the associated trigger words.

2. Save Mode

Change mode to Save.
Type your new tags in edit_text.
Queue a prompt (run once).
Result: The JSON file is updated/created instantly.

3. Stack Mode

Multiple LoRAs in one node. Trigger words are automatically concatenated. You can also specify which LoRA to update using save_target.

4. Compatibility

The generated JSON files use the standard format ("activation text", etc.), ensuring full compatibility with Stable Diffusion WebUI.

WebUI Format vs Plugin Format	Smart Update (Preserve Data)

5. Automatic Discovery

Scenario: You downloaded a "naked" LoRA (.safetensors only) and don't know the trigger words.

1. The initial folder (No JSON):

2. Automatic Online Lookup: Just run the node. It calculates the hash, queries Civitai, and finds the correct tags (e.g. "MMD, 3D").

3. Generation & Result: The tags are automatically injected into the prompt to generate the image.

4. Permanent Saving: A standard .json file is automatically created with the correct format. You never need to look it up again!

License: MIT