ComfyUI  >  Nodes  >  cgem156-ComfyUI🍌 >  Limited Interval CFG Guider 🍌

ComfyUI Node: Limited Interval CFG Guider 🍌

Class Name

LimitedIntervalCFGGuider|cgem156

Category
cgem156 🍌//custom_guiders
Author
laksjdjf (Account age: 2852 days)
Extension
cgem156-ComfyUI🍌
Latest Updated
6/8/2024
Github Stars
0.0K

How to Install cgem156-ComfyUI🍌

Install this extension via the ComfyUI Manager by searching for  cgem156-ComfyUI🍌
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter cgem156-ComfyUI🍌 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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Limited Interval CFG Guider 🍌 Description

Controlled guidance mechanism for AI models within a limited interval for precise behavior control in creative applications.

Limited Interval CFG Guider 🍌| Limited Interval CFG Guider 🍌:

The LimitedIntervalCFGGuider| Limited Interval CFG Guider 🍌 node is designed to provide a controlled guidance mechanism for AI models, particularly in the context of creative and artistic applications. This node allows you to specify a limited interval within which the Classifier-Free Guidance (CFG) is applied, offering more precise control over the model's behavior during the sampling process. By defining a start and end step, you can ensure that the CFG is only active within a specific range, which can help in achieving more refined and targeted outputs. This is particularly useful for AI artists who want to fine-tune the influence of positive and negative conditioning on their generated content, ensuring that the guidance is applied only when necessary and avoiding over-saturation of the guidance effect.

Limited Interval CFG Guider 🍌| Limited Interval CFG Guider 🍌 Input Parameters:

model

This parameter represents the AI model that will be guided. It is essential for the node to function as it provides the underlying structure and capabilities for generating outputs. The model parameter is of type MODEL.

positive

This parameter is used to provide positive conditioning to the model. Positive conditioning helps guide the model towards desired characteristics or features in the generated output. It is of type CONDITIONING.

negative

This parameter is used to provide negative conditioning to the model. Negative conditioning helps guide the model away from undesired characteristics or features in the generated output. It is of type CONDITIONING.

cfg

The cfg parameter stands for Classifier-Free Guidance scale. It controls the strength of the guidance applied to the model. A higher value increases the influence of the conditioning, while a lower value reduces it. The default value is 8.0, with a minimum of 0.0 and a maximum of 100.0. The step size is 0.1, and the value is rounded to 0.01.

start_step

This parameter defines the starting point of the interval where the CFG is applied. It is a float value representing a percentage of the total steps, with a default value of 0.0. The minimum value is 0.0, and the maximum value is 1.0, with a step size of 0.001.

end_step

This parameter defines the ending point of the interval where the CFG is applied. It is a float value representing a percentage of the total steps, with a default value of 1.0. The minimum value is 0.0, and the maximum value is 1.0, with a step size of 0.001.

Limited Interval CFG Guider 🍌| Limited Interval CFG Guider 🍌 Output Parameters:

GUIDER

The output of this node is a GUIDER object. This guider is configured to apply the specified positive and negative conditioning within the defined interval, using the provided CFG scale. It ensures that the guidance is only active within the specified range, allowing for more controlled and precise influence on the model's output.

Limited Interval CFG Guider 🍌| Limited Interval CFG Guider 🍌 Usage Tips:

  • To achieve more nuanced and controlled outputs, carefully adjust the start_step and end_step parameters to limit the interval where the CFG is applied. This can help in focusing the guidance effect on specific parts of the generation process.
  • Experiment with different cfg values to find the optimal balance between the influence of the conditioning and the model's inherent creativity. Higher values can lead to more pronounced effects, while lower values can provide subtler guidance.

Limited Interval CFG Guider 🍌| Limited Interval CFG Guider 🍌 Common Errors and Solutions:

"Invalid start_step or end_step value"

  • Explanation: This error occurs when the start_step or end_step values are outside the allowed range of 0.0 to 1.0.
  • Solution: Ensure that both start_step and end_step values are within the range of 0.0 to 1.0. Adjust the values accordingly and try again.

"CFG value out of range"

  • Explanation: This error occurs when the cfg value is set outside the allowed range of 0.0 to 100.0.
  • Solution: Adjust the cfg value to be within the range of 0.0 to 100.0. Use the step size of 0.1 for finer adjustments.

"Model not provided"

  • Explanation: This error occurs when the model parameter is not provided or is invalid.
  • Solution: Ensure that a valid model is provided as the model parameter. Check the model's compatibility with the node and try again.

Limited Interval CFG Guider 🍌 Related Nodes

Go back to the extension to check out more related nodes.
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