ComfyUI XMP Metadata Tools

This image contains the workflow, you can drag'n drop it into Comfyui

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Examples | Installation | Tiny node list |

This is the Comfyui version of a personal project I started last year (2024) with GPT/Claude, as a shell/commandline tool to add tags to ANY images on my computer.

Why, you say ? READ THE WHOLE STORY (or not, your call)

Because. I.Love.Images. Too much ! So the big idea was to add tags to images instead of yet another gigantic-painful-to-maintain database, that way you CAN'T LOSE THE TAG DATABASE ANYMORE IT'S INSIDE THE FILES !! This is genius. lol Later on, to find any image that I can't clearly remember the name of I can simply type a keyword in a pic viewer that supports XML tags, like for example XnView MP.
Or at least that's the theory of it.

These custom nodes for ComfyUI will allow you to READ and WRITE XMP METADATA to images. A sidenote though, this is not designed to handle image generation datas, there's already plenty of nodes for that.

Examples

This is the result in XnView

Adding tags to an existing image without modifying it

1. Use the "Write XMP Metadata (Lossless)" node
2. Enter the path to your image in input_image_path
3. Add your tags as comma-separated values in metadata (e.g., "landscape, sunset, ocean")
4. Run the node
5. The tagged image will be saved in a "tagged" subfolder in the same directory as the original, unless you specify a custom path

Adding metadata to a generated image

1. Connect your image generation output to the "Write XMP Metadata" node
2. Add your metadata in the metadata field
3. Choose a format mode (Smart format is recommended)
4. Run the node
5. The image with metadata will be saved in the output directory

Reading tags from an image

1. Use the "Read XMP Metadata" node
2. Enter the path to your image in image
3. Set metadata_type to "Subject" to extract tags
4. Run the node
5. The tags will be returned as a string

Metadata Format

The metadata input can be either:

1. A simple string with comma-separated values (e.g., "landscape, sunset, ocean")
2. A JSON object with a "tags" key and other custom fields:

   {
     "tags": ["landscape", "sunset", "ocean"],
     "author": "John Doe",
     "description": "Beautiful sunset at the beach"
   }

If you had similar needs to use prompt keywords and other datas from AI generated images to use as search tags, I can't recommend anything but the amazing Diffusion Toolkit it's awesome, TRY IT IT'S GREAT
Picasa was nice too with tags, back in the days... a bit limited though. A bit dead too, long ago x) Sad. And Lightroom is... meh. Nah.

ANYWAY

Installation

1. Clone this repository into the custom_nodes folder of your ComfyUI installation:

   git clone https://github.com/tetsuoo-online/comfyui-too-xmp-metadata.git
   

2. Make sure ExifTool is installed:

   • Download it here
   • rename the EXE (usually called "exiftool(-k).exe") to exifTool.exe then put it to the package root folder.

Requirements

• ComfyUI
• ExifTool
• PIL/Pillow
• NumPy

Tiny node list

🟢 Read XMP Metadata

This node extracts XMP metadata from an image file.

• Inputs:

  • image: Path to the image file
  • metadata_type: Type of metadata to extract (Subject, Description, Create Date, Modify Date, or Custom)
  • custom_metadata: Custom metadata field to extract (when metadata_type is set to "Custom")
  • console_debug: Enable detailed debug messages

• Outputs:

  • The extracted metadata value as a string

🟢 Write XMP Metadata (Lossless)

This node adds XMP metadata to an existing image file without altering the image data, making the image practically the same size as the original (+ a few bits for the text) but also preserving the original format and timestamps.

• Inputs:

  • input_image_path: Path to the original image file
  • metadata: Metadata to add (string or JSON)
  • output_dir: (Optional) Custom output directory
  • console_debug: (Optional) Enable detailed debug messages

• Outputs:

  • Path to the output image file

• Features:

  • Lossless operation: Preserves the original image without recompression
  • Format preservation: Keeps the original file format (PNG, JPG, WEBP, etc.)
  • Date preservation: Maintains the original creation and modification dates
  • Safe operation: Avoids processing loops by detecting files in "tagged" folders

🟢 Write XMP Metadata

This node adds XMP metadata to an image tensor, with options for choosing the output format.

• Inputs:

  • image: Image tensor
  • metadata: Metadata to add (string or JSON)
  • format_mode: Format selection (Preserve format, Smart format, Force PNG, Force JPG)
  • input_image_path: (Optional) Path to the original image for name and format reference
  • output_dir: (Optional) Custom output directory
  • console_debug: (Optional) Enable detailed debug messages

• Outputs:

  • Path to the output image file

• Features:

  • Smart format detection: Can automatically select the best format based on image content
  • Format options: Can force specific formats or try to preserve the original format
  • Integration with ComfyUI workflow: Works directly with image tensors from other nodes

🔴 IMPORTANT NOTE: For now, only the Write LOSSLESS node will keep existing metadatas (see image example below). The normal Write XMP Metadata on the other hand re-formats the image so if anything was in there it will be PURGED before adding the new metadata, so please pay attention to that.

VERSIONS

1.1.0

• existing metadatas no longer overwritten with Losless node 1.0.0
• first release

TO DO

• add subfolders support maybe. It sounds dangerous, but I need it~
• add tooltips

Credits

• Special thanks to Claude Sonnet AI x) Manus AI got me started despite the poor service, ChatGPT helped too but Claude was definitely the best
• Thank you to Starnodes2024 for the inspiration

License

MIT License