ComfyUI Node: Control Net Stacker

Class Name

Control Net Stacker

Category
Efficiency Nodes/Stackers
Author
jags111 (Account age: 3922days)
Extension
Efficiency Nodes for ComfyUI Version 2.0+
Latest Updated
2024-08-07
Github Stars
0.83K

How to Install Efficiency Nodes for ComfyUI Version 2.0+

Install this extension via the ComfyUI Manager by searching for Efficiency Nodes for ComfyUI Version 2.0+
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Efficiency Nodes for ComfyUI Version 2.0+ in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Control Net Stacker Description

Streamline stacking multiple control nets in AI art projects for efficient management and application.

Control Net Stacker:

The Control Net Stacker node is designed to streamline and enhance the process of stacking multiple control nets in your AI art projects. This node allows you to combine various control nets with specific images and parameters, creating a stack that can be applied collectively. By using this node, you can efficiently manage and apply multiple control nets, ensuring that your artistic creations are both complex and cohesive. The primary goal of the Control Net Stacker is to simplify the workflow for artists by providing a structured way to handle multiple control nets, thereby saving time and effort while maintaining high-quality results.

Control Net Stacker Input Parameters:

control_net

This parameter represents the control net that you want to stack. A control net is a neural network that guides the generation process, helping to achieve specific artistic effects or styles. By stacking multiple control nets, you can create more intricate and detailed artworks.

image

The image parameter is the specific image that you want to associate with the control net. This image serves as the input for the control net, allowing it to apply its effects based on the visual content of the image.

strength

The strength parameter determines the intensity of the control net's effect on the image. It is a floating-point value with a default of 1.0, a minimum of 0.0, and a maximum of 10.0, adjustable in steps of 0.01. Higher values result in stronger effects, while lower values produce subtler changes.

start_percent

This parameter specifies the starting point of the control net's effect as a percentage of the image's progress. It is a floating-point value with a default of 0.0, a minimum of 0.0, and a maximum of 1.0, adjustable in steps of 0.001. This allows you to control when the effect begins during the image generation process.

end_percent

The end_percent parameter defines the ending point of the control net's effect as a percentage of the image's progress. It is a floating-point value with a default of 1.0, a minimum of 0.0, and a maximum of 1.0, adjustable in steps of 0.001. This parameter helps you control when the effect stops during the image generation process.

cnet_stack (optional)

This optional parameter allows you to provide an existing stack of control nets. If not provided, the node will initialize an empty stack. This parameter is useful for combining new control nets with previously stacked ones, enabling more complex and layered effects.

Control Net Stacker Output Parameters:

CNET_STACK

The output parameter CNET_STACK is a list that contains tuples of the control nets, images, and their associated parameters (strength, start_percent, end_percent). This stack can be used in subsequent nodes to apply the combined effects of all the control nets in the stack, ensuring a cohesive and well-integrated result.

Control Net Stacker Usage Tips:

  • To achieve subtle effects, start with a lower strength value and gradually increase it until you reach the desired intensity.
  • Use the start_percent and end_percent parameters to control the timing of the control net's effect, allowing for more dynamic and varied results.
  • Combine multiple control nets with different images and parameters to create complex and unique artistic effects.

Control Net Stacker Common Errors and Solutions:

"Invalid control_net parameter"

  • Explanation: The control_net parameter provided is not recognized or is invalid.
  • Solution: Ensure that the control_net parameter is correctly specified and is a valid control net.

"Image parameter missing or invalid"

  • Explanation: The image parameter is either missing or not a valid image.
  • Solution: Provide a valid image for the image parameter to ensure the control net can be applied correctly.

"Strength value out of range"

  • Explanation: The strength parameter is set outside the allowed range (0.0 to 10.0).
  • Solution: Adjust the strength parameter to be within the specified range.

"Start_percent or end_percent value out of range"

  • Explanation: The start_percent or end_percent parameter is set outside the allowed range (0.0 to 1.0).
  • Solution: Adjust the start_percent and end_percent parameters to be within the specified range.

"cnet_stack parameter invalid"

  • Explanation: The cnet_stack parameter provided is not a valid stack of control nets.
  • Solution: Ensure that the cnet_stack parameter is correctly specified and is a valid stack of control nets. If not provided, the node will initialize an empty stack.

Control Net Stacker Related Nodes

Go back to the extension to check out more related nodes.
Efficiency Nodes for ComfyUI Version 2.0+
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