ComfyUI > Nodes > ComfyUI-Detail-Daemon > Multiply Sigmas (stateless)

ComfyUI Node: Multiply Sigmas (stateless)

Class Name

MultiplySigmas

Category
sampling/custom_sampling/sigmas
Author
Jonseed (Account age: 2409days)
Extension
ComfyUI-Detail-Daemon
Latest Updated
2024-11-04
Github Stars
0.54K

How to Install ComfyUI-Detail-Daemon

Install this extension via the ComfyUI Manager by searching for ComfyUI-Detail-Daemon
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Detail-Daemon 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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Multiply Sigmas (stateless) Description

Manipulate sigma values by applying multiplicative factors for fine-tuning AI model behavior and enhancing adaptability.

Multiply Sigmas (stateless):

The MultiplySigmas node is designed to manipulate a sequence of sigma values, which are often used in sampling processes within AI models. This node allows you to apply a multiplicative factor to a specified range of these sigma values, effectively scaling them to achieve desired effects in your sampling or processing pipeline. By providing a flexible way to adjust the intensity of sigma values over a defined range, this node can be instrumental in fine-tuning the behavior of models, particularly in scenarios where the control of noise levels or detail emphasis is crucial. The main goal of the MultiplySigmas node is to offer a straightforward yet powerful method to modify sigma values, enhancing the adaptability and precision of your AI-driven projects.

Multiply Sigmas (stateless) Input Parameters:

sigmas

The sigmas parameter represents the sequence of sigma values that you wish to modify. These values are crucial in determining the behavior of sampling processes, and the node requires this input to perform its function. The parameter is mandatory, ensuring that the node has the necessary data to work with.

factor

The factor parameter is a floating-point value that determines the multiplicative factor applied to the sigma values within the specified range. By adjusting this factor, you can control the degree of scaling applied to the sigmas, which can influence the overall effect on the sampling process. The factor has a default value of 1, with a minimum of 0 and a maximum of 100, allowing for a wide range of scaling options.

start

The start parameter is a floating-point value that specifies the beginning of the range within the sigma sequence where the multiplication will be applied. It is expressed as a fraction of the total length of the sigma sequence, with a default value of 0, a minimum of 0, and a maximum of 1. This parameter allows you to precisely control where the scaling effect begins.

end

The end parameter is a floating-point value that marks the end of the range within the sigma sequence for the multiplication effect. Like the start parameter, it is expressed as a fraction of the total sigma sequence length. The default value is 1, with a minimum of 0 and a maximum of 1, enabling you to define the endpoint of the scaling effect accurately.

Multiply Sigmas (stateless) Output Parameters:

sigmas

The output sigmas parameter is the modified sequence of sigma values after the specified range has been multiplied by the given factor. This output is crucial as it reflects the changes made to the original sigma values, allowing you to use the adjusted sequence in subsequent processing or sampling tasks. The modified sigmas can significantly impact the behavior of your model, depending on how they are utilized in your workflow.

Multiply Sigmas (stateless) Usage Tips:

  • To achieve a subtle effect, start with a factor close to 1 and gradually increase it to observe the impact on your model's output.
  • Use the start and end parameters to target specific portions of the sigma sequence, allowing for precise control over which parts of the process are affected by the scaling.

Multiply Sigmas (stateless) Common Errors and Solutions:

"sigmas.clone is not a function"

  • Explanation: This error may occur if the sigmas input is not a tensor or does not support the clone method.
  • Solution: Ensure that the sigmas input is a tensor or a compatible data structure that supports the clone method.

"IndexError: list index out of range"

  • Explanation: This error can happen if the start or end parameters are set incorrectly, leading to an invalid range.
  • Solution: Verify that the start and end parameters are within the valid range (0 to 1) and that start is less than or equal to end.

Multiply Sigmas (stateless) Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-Detail-Daemon
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