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Facilitates regional conditioning in AI art using color masks for precise modifications and targeted adjustments.
The RegionalIPAdapterColorMask __Inspire node is designed to facilitate the application of regional conditioning in AI art generation by utilizing color masks. This node allows you to specify regions within an image using a color mask and apply different conditioning parameters to these regions. By leveraging this node, you can achieve more precise and controlled modifications to specific areas of your artwork, enhancing the creative possibilities and fine-tuning the output to meet your artistic vision. The node works by converting a color mask into a binary mask and then applying conditioning based on the specified parameters, such as weight, weight type, and embedding vectors. This enables a high degree of customization and control over the generated art, making it a powerful tool for AI artists looking to experiment with regional effects and targeted adjustments.
The color_mask
parameter is an image input that serves as the base for creating the binary mask. This image should contain distinct colors representing different regions you want to target for conditioning. The node will convert these colors into a binary mask based on the specified mask_color
.
The mask_color
parameter is a string input that specifies the color in the color_mask
image to be converted into a binary mask. The default value is #FFFFFF
(white). This parameter should be a valid color value in RGB format, either as a hex code or a decimal value. The selected color will be used to identify the regions in the color_mask
image that will be conditioned.
The embeds
parameter is an embedding vector input that provides the conditioning information to be applied to the masked regions. This vector influences the characteristics of the generated art within the specified regions.
The weight
parameter is a float input that determines the strength of the conditioning applied to the masked regions. It ranges from -1 to 3, with a default value of 0.7. Adjusting this value will affect the intensity of the conditioning effect.
The weight_type
parameter is a selection input that specifies the method used to apply the weight. The available options are original
, linear
, and channel penalty
. Each option represents a different approach to weighting the conditioning effect, allowing for varied artistic outcomes.
The start_at
parameter is a float input that defines the starting point of the conditioning effect within the range of 0.0 to 1.0, with a default value of 0.0. This parameter allows you to control when the conditioning begins within the specified region.
The end_at
parameter is a float input that defines the ending point of the conditioning effect within the range of 0.0 to 1.0, with a default value of 1.0. This parameter allows you to control when the conditioning ends within the specified region.
The unfold_batch
parameter is a boolean input that determines whether to unfold the batch of conditioning operations. The default value is False
. Enabling this option can affect the processing of multiple conditioning operations.
The neg_embeds
parameter is an optional embedding vector input that provides negative conditioning information. This vector can be used to counteract or modify the primary conditioning effect, offering additional control over the generated art.
The REGIONAL_IPADAPTER
output is a conditioning object that encapsulates the applied regional conditioning parameters. This object can be used in subsequent nodes to influence the generation process based on the specified regional conditions.
The MASK
output is a binary mask generated from the color_mask
and mask_color
parameters. This mask identifies the regions within the image that have been targeted for conditioning, providing a visual representation of the affected areas.
mask_color
values to target various regions within your color_mask
image and observe how the conditioning effects change.weight
parameter to fine-tune the intensity of the conditioning effect, balancing between subtle and strong influences on the generated art.start_at
and end_at
parameters to create dynamic conditioning effects that vary over the specified regions, adding complexity and depth to your artwork.mask_color
parameter is not a valid RGB color value.mask_color
is specified as a valid hex code (e.g., #FFFFFF
) or a decimal value representing an RGB color. Double-check the format and correctness of the color value provided.© Copyright 2024 RunComfy. All Rights Reserved.