ComfyUI Node: Image Levels

Image Levels:

The JWImageLevels node is designed to adjust the levels of an image, allowing you to control the brightness and contrast by setting minimum and maximum values. This node is particularly useful for fine-tuning the tonal range of an image, ensuring that the details in the shadows and highlights are appropriately balanced. By manipulating the levels, you can enhance the overall visual appeal of your artwork, making it more vibrant and dynamic. This node is essential for artists looking to achieve precise control over the tonal distribution in their images.

Image Levels Input Parameters:

image

This parameter accepts an image in the form of a tensor. The image is the primary input on which the level adjustments will be applied. Ensure that the image is correctly formatted as a tensor to avoid any processing issues.

min

The min parameter sets the minimum level for the image adjustment. It defines the darkest point in the image, with a default value of 0.0. The value can range from 0.0 to 1.0, with increments of 0.01. Adjusting this parameter will affect the shadows and darker areas of the image, making them lighter or darker depending on the value set.

max

The max parameter sets the maximum level for the image adjustment. It defines the brightest point in the image, with a default value of 1.0. The value can range from 0.0 to 1.0, with increments of 0.01. Adjusting this parameter will affect the highlights and brighter areas of the image, making them lighter or darker depending on the value set.

Image Levels Output Parameters:

image

The output is an image tensor with adjusted levels based on the specified min and max values. This processed image will have its tonal range modified, enhancing the overall contrast and brightness according to the input parameters.

Image Levels Usage Tips:

• To enhance the contrast of an image, set the min value slightly higher than 0.0 and the max value slightly lower than 1.0.
• For a more dramatic effect, increase the difference between the min and max values.
• Use this node in combination with other color adjustment nodes to achieve a balanced and visually appealing result.

Image Levels Common Errors and Solutions:

"AssertionError: image must be a torch.Tensor"

• Explanation: This error occurs when the input image is not provided as a tensor.
• Solution: Ensure that the input image is correctly formatted as a torch tensor before passing it to the node.

"AssertionError: min must be a float"

• Explanation: This error occurs when the min parameter is not provided as a float.
• Solution: Ensure that the min value is a float within the range of 0.0 to 1.0.

"AssertionError: max must be a float"

• Explanation: This error occurs when the max parameter is not provided as a float.
• Solution: Ensure that the max value is a float within the range of 0.0 to 1.0.

"ZeroDivisionError: division by zero"

• Explanation: This error occurs when the min and max values are set to the same value, causing a division by zero.
• Solution: Ensure that the min and max values are different to avoid division by zero.