图像预处理直方图均衡(CLAHE)尺寸缩放ControlNet优化
为ComfyUI提供一组图像预处理节点（TC_EqualizeCLAHE、TC_SizeApproximation、TC_ImageResize、TC_ImageScale、TC_ColorFill），用于自适应直方图均衡、尺寸调整与填色，提升ControlNet等下游模块的输入质量。
💡 对图像进行CLAHE均衡、尺寸调整与填色预处理
🍴 3 Forks💻 Python🔄 2025-11-11
https://pan.quark.cn/s/c73fe210bae7
📦 requirements.txt
regex_spm
📄 README
ComfyUI-TeaNodes
Adds a few new nodes:
Image Equalization CLAHE (This node can’t be any more Kornia)
When images have their histogram smoothly distributed, I’d say it gives ControlNet preprocessor an easier time.
Works great when image BG is removed.
Image Size Approximation
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.
Image Resize
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.
Image Scale
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 To
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.
KorniaGamma
This works like an easy/complex/idk brightness/contrast/level adjustment node
Image processing power must be utilized for better results.
Random & Non-Random Color Fill
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.