ComfyUI: Guiding Structure with ControlNet

Demo summary
The video shows how to use Canny and Depth ControlNet models with pre-processors to guide image generation based on an input sketch or 3D text.
Step-by-step
- Download the Canny, Depth, and OpenPose ControlNet models
- Place the downloaded models into the 'models/control_net' folder within your ComfyUI directory
- Press the 'R' key to refresh node definitions if ComfyUI was already open
- Add an 'Apply ControlNet' node and connect the positive and negative conditioning
- Add a 'Load ControlNet Model' node and connect it to the 'Apply ControlNet' node
- Add a 'Load Image' node and connect it to an 'AIO' (All-In-One) pre-processor node
- Select the 'Canny Edge' pre-processor to match the Canny ControlNet model
- Connect the pre-processor output to the 'Apply ControlNet' node and run the workflow
Options
- Use Canny, Depth, or OpenPose models depending on the desired guidance
- Adjust the resolution in the pre-processor node for more detail in the map
Watch out for
- ControlNet models are only compatible with the specific base model they were trained for
- You must install the specific custom nodes required for this workflow if not using the 'easy install' version of ComfyUI
- Do not connect a raw image directly to ControlNet; it requires a pre-processor to convert the image into a format it understands
Tips
- Organize your ControlNet models into subfolders named after their compatible base models
- Color-code your ControlNet-related nodes (e.g., yellow) to make the workflow easier to read
- Add a 'Preview Image' node after the pre-processor to see exactly what guidance map is being sent to the model
Highlights
“without control net, it would be very hard to get something this complex using only a prompt”
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