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Modify layer gradients in AI models for precise control and adjustments, enabling various operations for enhanced art quality.
The DM_GradientEdit
node is designed to modify layer gradients within your AI models, providing you with the flexibility to fine-tune and adjust gradient values to achieve desired effects. This node allows you to perform various operations on gradients, such as setting, adding, subtracting, multiplying, or dividing values. By enabling these operations, DM_GradientEdit
helps you control the behavior and performance of your models more precisely, enhancing the quality and specificity of your AI-generated art. This node is particularly useful for artists looking to experiment with different gradient manipulations to see how they impact the final output, offering a straightforward way to make these adjustments without needing deep technical knowledge.
This parameter represents the layer gradient that you want to edit. It is the primary input for the node and serves as the base upon which all operations will be performed. The gradient is a crucial component as it influences the model's learning process and output quality.
This parameter specifies the type of operation to be performed on the gradient. The available options are "set", "add", "subtract", "multiply", and "divide". The default value is "set". Each operation modifies the gradient in a different way: "set" assigns a new value, "add" increases the gradient by a specified amount, "subtract" decreases it, "multiply" scales it, and "divide" reduces it by a factor. Choosing the right operation can significantly impact the model's behavior and results.
This parameter defines the numerical value to be used in the specified operation. It is a floating-point number with a default value of 0.0, a minimum value of 0.0, and a maximum value of 1.0, with increments of 0.01. The value parameter allows you to control the intensity of the operation applied to the gradient, providing fine-grained control over the modifications.
This parameter is a string that specifies which layers of the model the gradient operation should be applied to. It supports multiline input, allowing you to list multiple layers. By targeting specific layers, you can focus the gradient modifications on particular parts of the model, enabling more precise and effective adjustments.
The output parameter is the modified layer gradient. This gradient reflects the changes made based on the specified operation and value, applied to the designated layers. The modified gradient can then be used in subsequent nodes or processes, allowing you to see the impact of your adjustments on the model's performance and output.
DM_GradientEdit
with other gradient-related nodes to create complex gradient manipulation workflows, enhancing the overall quality and specificity of your AI-generated art.{model_type}
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