Canny Edge
AI generationOpen SourceExtract edge map for ControlNet guidance.
- Runs
- On our servers
- Typical time
- 3-10s
- Inputs
- 1
- Outputs
- 1
Inputs
| Port | Type | ID |
|---|---|---|
| Image | image | image-in |
Outputs
| Port | Type | ID |
|---|---|---|
| Image | image | image-out |
Settings
| Setting | Type | Default | Options |
|---|---|---|---|
| Low ThresholdLower edge detection sensitivity | slider | 100 | 0 to 255 |
| High ThresholdUpper edge detection sensitivity | slider | 200 | 0 to 255 |
What this connects into (24)
Computed from the port compatibility rules, so it stays correct as nodes change.
- Flux LoRA
- Nano Banana 2
- Nano Banana Pro
- GPT Image 2
- Gemini Omni
- Seedance 2.0
- Grok Imagine 1.5 I2V
- Kling 3.0 I2V
- Kling 3.0 Pro I2V
- Kling O3 I2V
- Kling O1 FLF2V
- WAN 2.7 I2V
- HappyHorse 1.0 I2V
- WAN Pro I2V
- WAN Effects
- Seedance 2.0 I2V
- Vidu Q1 FLF2V
- Kling O3 Reference
- Kling O1 Reference
- Seedance 2.0 Reference
- Hyper3D Rodin
- Hunyuan3D v3
- Trellis
- SHARP Gaussian
Node ID preprocess-canny. Open it in Studio with Tab, then type the name.