ComfyUI Auto Tagger automatically extracts metadata (Workflow and Prompt JSON) from ComfyUI-generated images and organizes them into Eagle Tags and Notes.

Unlike simple Exif readers, this plugin intelligently parses complex workflows to retrieve accurate parameters. It allows you to customize exactly what information to import, keeping your library clean and searchable.

[Features]

• Deep Metadata Extraction: Supports both standard workflow and API-format prompt data. It recursively resolves values from Reroute or Primitive nodes to ensure accurate parameter retrieval (Seed, Steps, CFG, etc.).

• Smart Tagging & Notes: Saves extraction results as searchable Tags (e.g., #checkpoint:name, #lora:name) and formatted Notes.

• Format Support: Fully supports both PNG and WebP formats.

• Batch Processing: Efficiently processes multiple images with a visual progress bar.

(Caption: Automatically converts prompts and parameters into Tags and Notes)

[How to Use]

1. Select ComfyUI images in Eagle.

2. Right-click and choose Plugins > ComfyUI Auto Tagger.

3. Select the information you want to extract (e.g., Checkpoint, LoRA, Positive Prompt).

4. Click Start Tagging.

[Customizable Settings]

You have full control over the output. You can toggle specific metadata items on or off to suit your workflow:

• Output Destination: Choose to write to Tags, Notes, or both.

• Extraction Targets: Independently enable/disable Checkpoint, LoRA, Seed, Sampler, and more.

(Caption: Flexible settings to keep your library organized)

[Why use this?] Eagle is excellent for managing assets, but managing thousands of AI-generated images requires automation. This plugin bridges the gap between ComfyUI and Eagle, turning raw metadata into a powerful, searchable database without cluttering your library with unwanted data.