ComfyUI Node: Brightness To Float List | Akatz

Brightness To Float List | Akatz:

The AK_BrightnessToFloatList node is designed to process an image and convert its brightness levels into a list of floating-point numbers. This node is particularly useful for AI artists who want to analyze or manipulate the brightness of images in a more granular way. By calculating the average pixel brightness for each frame of an image and normalizing these values between 0.0 (representing black) and 1.0 (representing white), this node provides a straightforward method to quantify and utilize brightness data. This can be beneficial for tasks such as adjusting image exposure, creating dynamic visual effects, or feeding brightness data into other nodes for further processing. The node's ability to handle image tensors and convert them into a usable format makes it a versatile tool in the AI art creation process.

Brightness To Float List | Akatz Input Parameters:

image

The image parameter is the sole input for this node and is expected to be an image in the form of a tensor object. This parameter serves as the source from which the node will calculate the average brightness. The image should ideally be in a format where pixel values are within the range of [0, 255], although the node can handle images with pixel values normalized between 0.0 and 1.0 by scaling them appropriately. This input is crucial as it directly influences the node's output, with the brightness of each frame being averaged and normalized to produce the final list of floats. There are no specific minimum or maximum values for this parameter, but it is essential that the input is a valid image tensor for the node to function correctly.

Brightness To Float List | Akatz Output Parameters:

FLOAT

The output of the AK_BrightnessToFloatList node is a list of floating-point numbers, denoted as FLOAT. This list represents the normalized average brightness of each frame in the input image, with values ranging from 0.0 to 1.0. Each float in the list corresponds to a frame's brightness, providing a clear and quantifiable measure of how bright or dark each frame is. This output is significant for users who need to perform further analysis or processing based on the brightness levels of an image, enabling them to make informed decisions or adjustments in their creative workflows.

Brightness To Float List | Akatz Usage Tips:

• Ensure that the input image is correctly formatted as a tensor with pixel values in the range of [0, 255] or normalized between 0.0 and 1.0 to avoid unexpected results.
• Use the output list of floats to dynamically adjust other parameters in your workflow, such as exposure or contrast, to create more visually appealing results.
• Consider using this node in conjunction with other nodes that can utilize brightness data for more complex image processing tasks.

Brightness To Float List | Akatz Common Errors and Solutions:

Invalid image tensor

• Explanation: The input provided is not a valid image tensor, which is required for the node to function.
• Solution: Ensure that the input is a properly formatted image tensor, with pixel values either in the range of [0, 255] or normalized between 0.0 and 1.0.

Image tensor not on CPU

• Explanation: The image tensor is not on the CPU, which can cause issues during processing.
• Solution: Convert the image tensor to a CPU tensor using .cpu() before passing it to the node.

Unexpected output values

• Explanation: The output list contains unexpected values, possibly due to incorrect input image scaling.
• Solution: Verify that the input image's pixel values are correctly scaled and within the expected range before processing.