Metadata Forge ComfyUI Node Pack (Patreon)

VERSION 2 OF METADATA FORGE IS OUT! CHECK OUT THE CHANGES HERE: https://www.patreon.com/LoRAtech/posts/metadata-forge-166351437?pr=trueEvery image you generate in ComfyUI carries hidden metadata that exposes your entire workflow, and worse, flags your content as AI. Even when social platforms strip visible metadata on upload, their transcode services still log it in their systems.

Metadata Forge fixes that at the source. It strips all AI and workflow metadata from your generations and repopulates them with realistic iPhone EXIF data, so every image you post reads like it came straight off a phone camera roll.

What's Included

🔍 Read MetadataDrop in any image and see exactly what it's leaking. Outputs as text and JSON so you can inspect the full workflow buried inside your files.

📱 iPhone Metadata PresetGenerate a complete, realistic iPhone EXIF profile. Choose your device, main or selfie camera, and datetime mode (current, manual, or randomized across a range of days so batches don't share identical timestamps). Optional GPS coordinates if you want location baked in.

💾 Save Image with MetadataStrips every trace of ComfyUI workflow data and saves your images with the spoofed iPhone metadata applied. Set your filename prefix and quality and you're done.

Also Included

Full video metadata spoofing support, so your video generations get the same treatment as your images.

A fully finished workflow with both the image and video pipelines built front to end. Load it and go.

Clean, camera-authentic files ready to post, straight out of ComfyUI.

How To Use

1. Install the node pack

Unzip the download. You'll get a folder named comfyui-loratech-metadata-forge.

Drop that entire folder into your ComfyUI custom_nodes directory:

ComfyUI/custom_nodes/comfyui-loratech-metadata-forge

Make sure you're moving the folder itself, not just the files inside it. The final path should be

ComfyUI/custom_nodes/comfyui-loratech-metadata-forge/__init__.py, not nested in an extra folder.

2. Install the dependency

The pack needs piexif. Open a terminal in your ComfyUI environment and run:

pip install piexif

If you're on a portable ComfyUI build, use the embedded Python:

python_embeded\python.exe -m pip install piexif

The video nodes use PyAV (av), which ships with most ComfyUI installs. If you hit a missing-module error on the video nodes, install it the same way:

pip install av

3. Restart ComfyUI

Fully restart ComfyUI and hard-refresh your browser. The nodes register on startup, so a restart is required, not just a page reload.

4. Load the included workflow

Drag the provided workflow .json (or the workflow-embedded .png) straight onto the ComfyUI canvas to load the full image and video pipelines.