ComfyUI > Nodes > ComfyUI Layer Style > LayerUtility: Show BlindWaterMark

ComfyUI Node: LayerUtility: Show BlindWaterMark

Class Name

LayerUtility: ShowBlindWaterMark

Category
😺dzNodes/LayerUtility/SystemIO
Author
chflame163 (Account age: 445days)
Extension
ComfyUI Layer Style
Latest Updated
2024-06-24
Github Stars
0.64K

How to Install ComfyUI Layer Style

Install this extension via the ComfyUI Manager by searching for ComfyUI Layer Style
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI Layer Style in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

LayerUtility: Show BlindWaterMark Description

Decode hidden watermarks in images for verification and authenticity.

LayerUtility: Show BlindWaterMark:

The LayerUtility: ShowBlindWaterMark node is designed to decode and reveal hidden watermarks embedded within images. This node is particularly useful for verifying the presence of watermarks that have been added to images for copyright protection or other purposes. By extracting the watermark, you can ensure the integrity and authenticity of the image. The node processes each image, extracts the watermark from the specified channel, and normalizes it for better visibility. This functionality is essential for artists and designers who need to manage and verify the use of watermarked images in their projects.

LayerUtility: Show BlindWaterMark Input Parameters:

image

The image parameter is the primary input for the node and expects an image or a batch of images from which the watermark will be decoded. This parameter is crucial as it contains the visual data that the node will process to extract the hidden watermark. The images should be in a format compatible with the node's processing capabilities, typically tensors representing the image data. There are no specific minimum or maximum values for this parameter, but the quality and resolution of the input images can impact the accuracy and clarity of the decoded watermark.

LayerUtility: Show BlindWaterMark Output Parameters:

watermark_image

The watermark_image output parameter provides the decoded watermark image(s) extracted from the input images. This output is essential for verifying the presence and content of the watermark. The watermark images are returned as tensors, resized to a standard dimension (512x512 pixels) for consistency and ease of use. This output allows you to visually inspect the watermark, ensuring that it has been correctly embedded and can be accurately decoded when needed.

LayerUtility: Show BlindWaterMark Usage Tips:

  • Ensure that the input images are of high quality and resolution to improve the accuracy of the watermark decoding process.
  • Use this node in conjunction with the LayerUtility: AddBlindWaterMark node to verify that watermarks are correctly embedded and can be decoded as expected.
  • If the decoded watermark appears unclear, consider adjusting the image preprocessing steps or using higher resolution images.

LayerUtility: Show BlindWaterMark Common Errors and Solutions:

"Processed 0 image(s)."

  • Explanation: This error indicates that the node did not receive any valid images to process.
  • Solution: Ensure that the image parameter is correctly set and contains valid image data. Check the input connections and data types.

"Error in decoding watermark."

  • Explanation: This error suggests that there was an issue during the watermark extraction process, possibly due to incompatible image formats or corrupted data.
  • Solution: Verify that the input images are in a compatible format and not corrupted. Try using different images or re-embedding the watermark with the LayerUtility: AddBlindWaterMark node.

"Image channel split failed."

  • Explanation: This error occurs when the node is unable to split the image channels, which is a necessary step for watermark extraction.
  • Solution: Ensure that the input images are in a format that supports channel splitting, such as YCbCr. Convert the images to the appropriate format if necessary.

LayerUtility: Show BlindWaterMark Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI Layer Style
RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.