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.