Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
model | The base model used for the generation process. | MODEL | Yes | - |
model_patch | A specialized patch model that applies the control network’s guidance. | MODEL_PATCH | Yes | - |
vae | The Variational Autoencoder used for encoding and decoding images. | VAE | Yes | - |
strength | The strength of the control network’s influence. Positive values apply the effect, while negative values can invert it (default: 1.0). | FLOAT | Yes | -10.0 to 10.0 |
image | An optional base image to guide the generation process. | IMAGE | No | - |
inpaint_image | An optional image used specifically for inpainting areas defined by a mask. | IMAGE | No | - |
mask | An optional mask that defines which areas of an image should be edited or inpainted. | MASK | No | - |
inpaint_image parameter is typically used in conjunction with a mask to specify the content for inpainting. The node’s behavior may change based on which optional inputs are provided (e.g., using image for guidance or using image, mask, and inpaint_image for inpainting).
Outputs
| Output Name | Description | Data Type |
|---|---|---|
model | The model with the control network patch applied, ready for use in a sampling pipeline. | MODEL |
positive | The positive conditioning, potentially modified by the control network inputs. | CONDITIONING |
negative | The negative conditioning, potentially modified by the control network inputs. | CONDITIONING |
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