This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThis node applies ControlNet guidance to Stable Diffusion 3 conditioning. It takes positive and negative conditioning inputs along with a ControlNet model and image, then applies the control guidance with adjustable strength and timing parameters to influence the generation process. Note: This node has been marked as deprecated and may be removed in future versions.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
positive | CONDITIONING | Yes | - | The positive conditioning to apply ControlNet guidance to |
negative | CONDITIONING | Yes | - | The negative conditioning to apply ControlNet guidance to |
control_net | CONTROL_NET | Yes | - | The ControlNet model to use for guidance |
vae | VAE | Yes | - | The VAE model used in the process |
image | IMAGE | Yes | - | The input image that ControlNet will use as guidance |
strength | FLOAT | Yes | 0.0 - 10.0 | The strength of the ControlNet effect (default: 1.0) |
start_percent | FLOAT | Yes | 0.0 - 1.0 | The starting point in the generation process where ControlNet begins to apply (default: 0.0) |
end_percent | FLOAT | Yes | 0.0 - 1.0 | The ending point in the generation process where ControlNet stops applying (default: 1.0) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
positive | CONDITIONING | The modified positive conditioning with ControlNet guidance applied |
negative | CONDITIONING | The modified negative conditioning with ControlNet guidance applied |