ComfyUI > Nodes > KJNodes for ComfyUI > NormalizedAmplitudeToMask

ComfyUI Node: NormalizedAmplitudeToMask

Class Name

NormalizedAmplitudeToMask

Category
KJNodes/audio
Author
kijai (Account age: 2192days)
Extension
KJNodes for ComfyUI
Latest Updated
2024-06-25
Github Stars
0.35K

How to Install KJNodes for ComfyUI

Install this extension via the ComfyUI Manager by searching for KJNodes for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter KJNodes for 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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NormalizedAmplitudeToMask Description

Converts normalized amplitude values to mask for image processing and AI art applications, integrating audio data into visual workflows.

NormalizedAmplitudeToMask:

The NormalizedAmplitudeToMask node is designed to convert normalized amplitude values into a mask format that can be used in various image processing and AI art applications. This node takes amplitude values, which are typically within the range of 0.0 to 1.0, and transforms them into a mask that can be applied to images or other visual elements. The primary benefit of this node is its ability to seamlessly integrate audio data into visual workflows, allowing for dynamic and responsive visual effects that are driven by audio input. By normalizing the amplitude values, the node ensures that the resulting mask is consistent and predictable, making it easier to achieve the desired visual outcomes.

NormalizedAmplitudeToMask Input Parameters:

normalized_amp

The normalized_amp parameter represents the normalized amplitude values that will be converted into a mask. These values should be within the range of 0.0 to 1.0, ensuring that the amplitude data is properly scaled for mask generation. The impact of this parameter is significant, as it directly influences the intensity and distribution of the mask. The minimum value is 0.0, the maximum value is 1.0, and the default value is typically set to a normalized array of amplitude values.

frame_offset

The frame_offset parameter determines the amount by which the amplitude values are offset or rolled. This can create a temporal shift in the mask, allowing for dynamic effects that change over time. The value of this parameter can be positive or negative, depending on the desired direction of the offset. The default value is usually 0, meaning no offset is applied.

NormalizedAmplitudeToMask Output Parameters:

mask

The mask output parameter is the resulting mask generated from the normalized amplitude values. This mask can be applied to images or other visual elements to create dynamic effects that respond to audio input. The mask is typically a tensor that represents the intensity and distribution of the amplitude values across the visual element. The importance of this output lies in its ability to bridge the gap between audio and visual data, enabling the creation of synchronized and responsive visual effects.

NormalizedAmplitudeToMask Usage Tips:

  • To achieve smooth and dynamic visual effects, ensure that the normalized_amp values are properly scaled and within the range of 0.0 to 1.0.
  • Experiment with the frame_offset parameter to create interesting temporal shifts in the mask, adding a layer of complexity to your visual effects.

NormalizedAmplitudeToMask Common Errors and Solutions:

"normalized_amp values out of range"

  • Explanation: This error occurs when the normalized_amp values are not within the range of 0.0 to 1.0.
  • Solution: Ensure that all amplitude values are normalized correctly before inputting them into the node.

"Invalid frame_offset value"

  • Explanation: This error occurs when the frame_offset value is not a valid integer.
  • Solution: Check that the frame_offset value is an integer and within a reasonable range for your application.

NormalizedAmplitudeToMask Related Nodes

Go back to the extension to check out more related nodes.
KJNodes for ComfyUI
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