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ComfyUI's ControlNet Auxiliary Preprocessors

Converts ordinary RGB photos into DepthAnything maps, DWPose skeletons, LineArt drawings, and ZoeDepth maps for ControlNet. Package: Fannovel16/comfyui_controlnet_aux.

Updated Oct 17, 2026 · 1 min read

At a glanceEntity
Node / Pack
ComfyUI's ControlNet Auxiliary Preprocessors
Category
custom-pack
Inputs
image, resolution
Outputs
IMAGE (depth, openpose, lineart, scribble)
Source Pack
Fannovel16/comfyui_controlnet_aux

What ComfyUI's ControlNet Auxiliary Preprocessors does in a ComfyUI graph

Converts ordinary RGB photos into DepthAnything maps, DWPose skeletons, LineArt drawings, and ZoeDepth maps for ControlNet.

On the canvas, this node accepts `image, resolution` and emits `IMAGE (depth, openpose, lineart, scribble)`. Every pin is color-coded by data type so you cannot accidentally wire a pixel `IMAGE` tensor into a `LATENT` pin without an intermediate encode step.

Installation and missing-node recovery on Windows

ComfyUI's ControlNet Auxiliary Preprocessors is provided by `Fannovel16/comfyui_controlnet_aux`. Open ComfyUI-Manager, click **Install Custom Nodes** (or **Install Missing Custom Nodes** if you loaded a workflow with red boxes), and restart the server.

Download the full Windows desktop or portable package at /download to get started with a clean Python 3.12 environment.

FAQs

How do I fix "ComfyUI's ControlNet Auxiliary Preprocessors" showing up as a red box in ComfyUI?

Open ComfyUI-Manager, click **Install Missing Custom Nodes**, install `Fannovel16/comfyui_controlnet_aux`, and restart ComfyUI.

What are the main inputs and outputs of ComfyUI's ControlNet Auxiliary Preprocessors?

Inputs: image, resolution. Outputs: IMAGE (depth, openpose, lineart, scribble).

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Sofa split between tweed and snow-leopard fabric, an image edit made in ComfyUI