Adds a few new nodes:

• When images have their histogram smoothly distributed, I'd say it gives ControlNet preprocessor an easier time.
• Works great when image BG is removed.

• Works based on pixel count that retains Image ratio.
• This algorithm is really dumbly written, but it works.
• Great for stabilizing the speed of image-to-image generation.

• Takes size tuple from Size Approximation Node.
• Seriously, image size always has 2 numbers, why can't it fit through a single wire?
• It also defaults to a node socket instead of having to convert it into input from a widget.

• Simply multiplies image size by a factor.
• 20240425: Now scales smoothly when multiplied by non-power-of-2 factors - use LANCZOS option now
• Have an easier time saving in-process scrap images at half or quarter resolution.

• Crop an image to the same size of the reference image
• Hate some of those nodes that complains about bad tensor dimensions for whatever reasons? Fear no longer.

• This works like an easy/complex/idk brightness/contrast/level adjustment node
• Image processing power must be utilized for better results.

• Fill based on reference image size
• Randomness defined by original color and a variance in hue, saturation and value
• Hopefully the color input field works for most color string formats.

Don't know how licensing works so code relying on other repos has been ignored for now.