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Enhance AI art generation with control hints for refined output.
The chaosaiart_ControlNetApply3
node is designed to enhance your AI art generation process by applying control hints to both positive and negative conditioning data. This node allows you to integrate a control network with an image, adjusting the strength and timing of the control application. By doing so, it provides a more refined and controlled output, ensuring that the generated art adheres to specific guidelines or styles. The node is particularly useful for artists looking to fine-tune their AI-generated art by leveraging control networks to influence the conditioning data, thereby achieving more precise and desired results.
This parameter represents the active frame in the sequence. It is used to determine if the control should be applied based on the current frame's position within the specified start and end frames. The value should be an integer, with a default minimum of 1 and a maximum of 999999999.
This parameter takes in the positive conditioning data, which is used to guide the AI in generating the desired output. It is a required input and should be of the type CONDITIONING
.
This parameter takes in the negative conditioning data, which helps the AI avoid generating undesired elements in the output. It is a required input and should be of the type CONDITIONING
.
This parameter represents the control network that will be applied to the conditioning data. It is a required input and should be of the type CONTROL_NET
.
This parameter is the image that provides the control hint. The control hint is derived from this image and is used to influence the conditioning data. It is a required input and should be of the type IMAGE
.
This optional parameter allows you to override the default strength of the control application. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 100000. The forceInput
attribute ensures that this parameter is always provided if specified.
This optional parameter allows you to override the default start point of the control application. It is a float value with a default of 0.0, a minimum of 0.0, and a maximum of 100000. The forceInput
attribute ensures that this parameter is always provided if specified.
This optional parameter allows you to override the default end point of the control application. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 100000. The forceInput
attribute ensures that this parameter is always provided if specified.
This parameter sets the strength of the control application. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 3.0. This parameter determines how strongly the control hint influences the conditioning data.
This parameter sets the start point of the control application. It is a float value with a default of 0.0, a minimum of 0.0, and a maximum of 1.0. This parameter determines when the control application begins within the sequence.
This parameter sets the end point of the control application. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 1.0. This parameter determines when the control application ends within the sequence.
This parameter sets the starting frame for the control application. It is an integer value with a default of 1, a minimum of 1, and a maximum of 999999999. This parameter is used to define the frame range within which the control is applied.
This parameter sets the ending frame for the control application. It is an integer value with a default of 9999, a minimum of 1, and a maximum of 999999999. This parameter is used to define the frame range within which the control is applied.
This output parameter provides the modified positive conditioning data after the control network has been applied. It retains the type CONDITIONING
and reflects the influence of the control hint on the positive conditioning.
This output parameter provides the modified negative conditioning data after the control network has been applied. It retains the type CONDITIONING
and reflects the influence of the control hint on the negative conditioning.
strength
parameter is set appropriately to balance the influence of the control hint on the conditioning data.start
and end
parameters to fine-tune the timing of the control application, especially when working with sequences or animations.strength_override
, start_override
, and end_override
parameters for more granular control when needed, allowing for dynamic adjustments based on specific requirements.ยฉ Copyright 2024 RunComfy. All Rights Reserved.