What is ControlNet and when should I use it?
ControlNet lets you guide AI image generation using reference images for pose, composition, depth, or edges. It solves the problem of getting specific layouts and poses.
ControlNet types:
| Type | Input | Use Case |
|---|---|---|
| OpenPose | Stick figure/skeleton | Character poses |
| Canny | Edge detection | Preserve composition |
| Depth | Depth map | Maintain spatial layout |
| Scribble | Rough sketch | Quick concept iteration |
| Lineart | Line drawing | Colorize illustrations |
| Reference | Any image | Style/content matching |
When to use ControlNet:
- You have a specific pose in mind
- Matching an existing composition
- Converting sketches to finished art
- Maintaining consistent layouts
- Animating or creating variations
How to use:
- Upload or generate a control image
- Select the appropriate ControlNet model
- Write your prompt for the final output
- Adjust control strength (0.5-1.0)
- Generate
ControlNet is available in ComfyUI, AUTOMATIC1111, and other Stable Diffusion interfaces. Similar features exist in Midjourney (—cref, —sref) and other platforms.