Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
positive | The positive conditioning that guides the generation toward desired content | CONDITIONING | Yes | - |
negative | The negative conditioning that guides the generation away from unwanted content | CONDITIONING | Yes | - |
control_net | The ControlNet model that provides additional control over the generation | CONTROL_NET | Yes | - |
vae | The VAE (Variational Autoencoder) used for encoding and decoding images | VAE | Yes | - |
image | The input image that serves as control guidance for the ControlNet | IMAGE | Yes | - |
mask | The mask that defines which areas of the image should be inpainted | MASK | Yes | - |
strength | The strength of the ControlNet effect (default: 1.0) | FLOAT | Yes | 0.0 to 10.0 |
start_percent | The starting point (as percentage) of when ControlNet influence begins during generation (default: 0.0) | FLOAT | Yes | 0.0 to 1.0 |
end_percent | The ending point (as percentage) of when ControlNet influence stops during generation (default: 1.0) | FLOAT | Yes | 0.0 to 1.0 |
concat_mask enabled, the mask is inverted and applied to the image before processing, and the mask is included in the extra concatenation data sent to the ControlNet.
Outputs
| Output Name | Description | Data Type |
|---|---|---|
positive | The modified positive conditioning with ControlNet applied for inpainting | CONDITIONING |
negative | The modified negative conditioning with ControlNet applied for inpainting | CONDITIONING |
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub
Source fingerprint (SHA-256):
bd44dcff4f0d06b3b81a66dd45ae57e54b72374308f75b3089e50db8de1398cd