ComfyUI Node: GR Image Details Displayer

GR Image Details Displayer:

The GR Image Details Displayer node is designed to provide a visual representation of an image tensor along with its detailed attributes. This node is particularly useful for AI artists who need to inspect and analyze the properties of their generated images. By displaying the image and overlaying essential information such as height, width, and data type, this node helps you understand the characteristics of your images better. It ensures that you can quickly and easily verify the output of your image generation processes, making it an invaluable tool for quality control and iterative design.

GR Image Details Displayer Input Parameters:

images

This parameter expects an image tensor as input. The image tensor represents the image data that you want to display and analyze. The tensor should be in the format typically used in image processing, where the dimensions correspond to the color channels, height, and width of the image. Providing a valid image tensor is crucial for the node to function correctly, as it will use this data to generate the visual display and overlay the image details.

GR Image Details Displayer Output Parameters:

This node does not produce any direct output parameters. Instead, its primary function is to display the image and its details visually. The display includes the image itself and textual information about the image's height, width, and data type, which are shown directly on the image using a plotting library.

GR Image Details Displayer Usage Tips:

• Ensure that the image tensor you provide is correctly formatted and contains valid image data. This will help avoid errors and ensure that the image is displayed correctly.
• Use this node to quickly verify the properties of your generated images during different stages of your workflow. This can help you catch any issues early and make necessary adjustments.

GR Image Details Displayer Common Errors and Solutions:

No image tensor provided.

• Explanation: This error occurs when the input image tensor is None or not provided.
• Solution: Ensure that you pass a valid image tensor to the node. Check your workflow to confirm that the image tensor is correctly generated and passed to this node.

Invalid image file: <image>

• Explanation: This error indicates that the provided image file path is invalid or the file does not exist.
• Solution: Verify that the image file path is correct and that the file exists at the specified location. Ensure that the file is accessible and not corrupted.