CavinHuang-comfyui-nodes-docs/docs/Solarize.md

Documentation

• Class name: Solarize
• Category: postprocessing/Color Adjustments
• Output node: False
• Repo Ref: https://github.com/EllangoK/ComfyUI-post-processing-nodes

该节点旨在通过反转高于特定阈值的颜色来调整图像的颜色，提供一种太阳化效果，增强可见性和对比度。

Input types

Required

• image
  • 图像参数至关重要，因为它是太阳化过程的主要输入。它决定了将要进行颜色调整的源材料。
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Optional

• threshold
  • 阈值参数作为太阳化过程的决策边界，决定了哪些颜色色调被反转以增强图像的对比度。
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• solarized_image
  • 输出是经过太阳化处理的图像，它经历了颜色反转过程以提高其视觉吸引力和清晰度。
  • Comfy dtype: IMAGE
  • Python dtype: torch.Tensor

Usage tips

• Infra type: CPU

Source code

class Solarize:

    def __init__(self):
        pass

    @classmethod
    def INPUT_TYPES(s):
        return {'required': {'image': ('IMAGE',), 'threshold': ('FLOAT', {'default': 0.5, 'min': 0.0, 'max': 1.0, 'step': 0.01})}}
    RETURN_TYPES = ('IMAGE',)
    FUNCTION = 'solarize_image'
    CATEGORY = 'postprocessing/Color Adjustments'

    def solarize_image(self, image: torch.Tensor, threshold: float):
        solarized_image = torch.where(image > threshold, 1 - image, image)
        solarized_image = torch.clamp(solarized_image, 0, 1)
        return (solarized_image,)