ComfyUI Node: Pre CFG sharpening

Pre CFG sharpening:

The Pre CFG sharpening node is designed to enhance the conditioning data used in AI models by applying a sharpening technique. This process helps to improve the clarity and definition of the conditioning data, which can lead to more accurate and visually appealing results in AI-generated art. By adjusting the conditioning data, this node ensures that the model receives more precise information, which can be particularly beneficial in scenarios where fine details and sharpness are crucial. The main goal of this node is to refine the conditioning data before it is used in the CFG (Classifier-Free Guidance) process, thereby enhancing the overall quality of the generated output.

Pre CFG sharpening Input Parameters:

model

This parameter represents the AI model that will be used for the sharpening process. It is essential as it defines the context in which the sharpening will be applied.

start_at_sigma

This parameter determines the sigma value at which the sharpening process should start. Sigma values are used to control the level of noise in the model, and starting the sharpening at a specific sigma value allows for more precise control over the conditioning data. The default value is 15.0, with a minimum of 0.0 and a maximum of 1000.0.

end_at_sigma

This parameter sets the sigma value at which the sharpening process should end. Similar to the start_at_sigma parameter, it helps in controlling the noise level and ensuring that the sharpening is applied within a specific range. The default value is 1.0, with a minimum of 0.0 and a maximum of 1000.0.

enabled

This boolean parameter determines whether the sharpening process is enabled or not. If set to False, the node will not apply any sharpening to the conditioning data. The default value is True.

Pre CFG sharpening Output Parameters:

model

The output parameter is the modified AI model with the applied sharpening process. This model will now use the sharpened conditioning data, which can lead to improved results in the generated output.

Pre CFG sharpening Usage Tips:

• To achieve the best results, experiment with different values for start_at_sigma and end_at_sigma to find the optimal range for your specific use case.
• Ensure that the enabled parameter is set to True to activate the sharpening process.
• Use this node in scenarios where fine details and sharpness are crucial, such as in high-resolution image generation or when working with intricate designs.

Pre CFG sharpening Common Errors and Solutions:

"Model not defined"

• Explanation: This error occurs when the model parameter is not provided or is incorrectly specified.
• Solution: Ensure that you have correctly specified the model parameter and that it is a valid AI model.

"Invalid sigma values"

• Explanation: This error occurs when the start_at_sigma or end_at_sigma values are outside the acceptable range.
• Solution: Check that the sigma values are within the range of 0.0 to 1000.0 and adjust them accordingly.

"Sharpening process not enabled"

• Explanation: This error occurs when the enabled parameter is set to False, and the sharpening process is not applied.
• Solution: Set the enabled parameter to True to activate the sharpening process.