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Integrate BrushNet model for advanced image inpainting with precise brush effects.
The easy applyBrushNet
node is designed to integrate the BrushNet model into your AI art workflow, enabling advanced inpainting capabilities. This node leverages the BrushNet model to enhance images by applying specific brush effects, guided by a mask and other parameters. It is particularly useful for artists looking to refine or alter specific areas of an image with precision. By using this node, you can achieve more detailed and controlled modifications, making it an essential tool for high-quality image editing and inpainting tasks.
This parameter represents the pipeline containing the model, VAE, and conditioning information. It is essential for the node to access the necessary components to apply the BrushNet model effectively.
The image parameter is the input image that you want to modify using the BrushNet model. This image serves as the base for the inpainting process.
The mask parameter defines the areas of the image that will be affected by the BrushNet model. It allows you to specify which parts of the image should be altered, providing precise control over the inpainting process.
This parameter specifies the BrushNet model to be used. It can be a cached model or a new one loaded from the specified path. The BrushNet model determines the brush effects applied to the image.
The dtype parameter defines the data type for the BrushNet model. Options include float16
, bfloat16
, float32
, and float64
. The default value is float16
, which balances performance and precision.
The scale parameter adjusts the intensity of the brush effects applied by the BrushNet model. It ranges from 0.0 to 10.0, with a default value of 1.0. Higher values result in more pronounced effects.
This parameter specifies the starting point for the inpainting process, measured in pixels. It ranges from 0 to 10000, with a default value of 0. It allows you to control where the BrushNet model begins applying its effects.
The end_at parameter defines the endpoint for the inpainting process, measured in pixels. It ranges from 0 to 10000, with a default value of 10000. It allows you to control where the BrushNet model stops applying its effects.
The output pipe parameter returns the updated pipeline after applying the BrushNet model. It includes the modified image and any updated conditioning information, ready for further processing or final output.
float16
, bfloat16
, float32
, or float64
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