什么是 Preprocessor？
像火柴人或深度图那样在 ControlNet 使用的“控制用图像”，该怎么准备呢？
如果是像 Canny 那样单纯的边缘还可以，但每次都手绘深度图是不现实的。
因此，将从参考图像自动制作火柴人・深度图・线稿・法线贴图等的处理，在 ControlNet 业界为方便起见统称为 “Preprocessor（预处理器）”。
并不是有一个进行这些全部的技术，而是姿势推定・深度推定・线稿抽出等，分别有别的技术。
控制图像的真面目
虽说手绘很难，但请记住“是可以手绘的”。
控制用图像不是特殊的数据型，只是单纯的 RGB 图像。
用黑色涂满深度图中碍事的部分，或只重画姿势图像的手臂改变姿势也没关系。
必要的自定义节点
基本上，只要有这个就足够了。
经常被使用的 Preprocessor
在这里介绍实际上使用频率高的技术。
虽然在性能方面也有更好的东西，但重视简便・轻量・易用性选出了这些。
如果是用于 ControlNet 的程度，不需要那么极端的精度。
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Canny
- 🟩 Canny
- 🟨 Canny Edgy
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SoftEdge / HED
- 🟩 HED Soft-Edge
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Lineart
- 🟩 Realistic Lineart
- 🟨 AnyLine Lineart
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Depth
- 🟩 Depth Anything V2
- 虽然现在开发到了 V3，但如果是 ControlNet 用途的话 V2 就足够了。
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Normal
- 🟩 DSINE
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MLSD
- 🟩 M-LSD Lines
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"inputs": [],
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},
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Pose
- 🟩 OpenPose
- 🟨 DWPose
- 虽然经常被作为 OpenPose 的上位互换对待，但有不擅长背影这个明确的弱点。请根据状况与 OpenPose 并用。
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