ComfyUI Extension: ComfyUI-AudioScheduler

ComfyUI-AudioScheduler Introduction

ComfyUI-AudioScheduler is an extension designed to help AI artists integrate audio data into their creative projects. This extension provides a set of tools (nodes) that allow you to load audio files, analyze their properties, and use this information to control various aspects of your AI-generated animations or visualizations. By leveraging audio data, you can create more dynamic and synchronized multimedia experiences.

Key Features:

• Loading Audio Files: Supports MP3 and WAV formats.
• Amplitude Analysis: Reads and visualizes the amplitude of audio over time.
• Frequency Analysis: Performs Fast Fourier Transforms (FFTs) to analyze frequency components.
• Graphical Visualization: Generates graphs to preview amplitude and frequency data.
• Dynamic Text Prompts: Creates text prompts driven by audio amplitude changes.

How ComfyUI-AudioScheduler Works

ComfyUI-AudioScheduler works by breaking down audio files into their fundamental components and using this data to influence other media elements. Here’s a simplified explanation:

1. Loading Audio: The extension can load audio files in MP3 or WAV formats.
2. Analyzing Audio: It reads the amplitude (volume) and frequency (pitch) information from the audio.
3. Visualizing Data: The extension can create visual graphs of the amplitude and frequency data.
4. Controlling Media: This data can then be used to control animations, generate text prompts, or influence other visual elements in your project. Imagine you have a piece of music and you want certain visual effects to sync with the beats or melody. ComfyUI-AudioScheduler can analyze the music and provide the necessary data to make this synchronization possible.

ComfyUI-AudioScheduler Features

LoadAudio

• Input: List of audio file names (MP3, WAV).
• Output: Loaded audio data.
• Description: Loads audio files from a specified directory and prepares them for further analysis.

AudioToFFTs

• Input: Loaded audio data, audio channel, frames per second.
• Output: FFT data, total number of frames.
• Description: Performs FFT on the audio data to extract frequency information. Useful for analyzing the pitch and tone of the audio.

AudioToAmplitudeGraph

• Input: Loaded audio data, audio channel, lower and upper band range.
• Output: Graph image of amplitude.
• Description: Creates a visual graph of the amplitude within a specified frequency range. Helps in visualizing how the volume changes over time.

BatchAmplitudeSchedule

• Input: FFT data, operation (avg, max, sum), lower and upper band range.
• Output: Amplitude data.
• Description: Calculates amplitude values from FFT data based on specified operations and frequency ranges. Useful for aggregating amplitude data.

ClipAmplitude

• Input: Amplitude data, max and optional min amplitude.
• Output: Clipped amplitude data.
• Description: Clips amplitude values to a specified range. Ensures that the amplitude stays within desired limits.

TransientAmplitudeBasic

• Input: Amplitude data, frames for attack, hold, and release.
• Output: Adjusted amplitude data.
• Description: Adjusts amplitude data with transient characteristics. Controls the attack, hold, and release behavior of the amplitude.

NormalizeAmplitude

• Input: Amplitude data.
• Output: Normalized amplitude data.
• Description: Normalizes amplitude data, optionally inverting the values.

GateNormalizedAmplitude

• Input: Normalized amplitude data, gating threshold.
• Output: Gated normalized amplitude data.
• Description: Gates normalized amplitude data based on a specified threshold.

NormalizedAmplitudeDrivenString

• Input: List of text prompts, normalized amplitude data, triggering threshold, loop, shuffle.
• Output: Dynamic text string.
• Description: Generates text prompts based on changes in normalized amplitude. Can loop or shuffle prompts.

NormalizedAmplitudeToNumber

• Input: Normalized amplitude data.
• Output: Float and integer values of normalized amplitude.
• Description: Converts normalized amplitude data to numerical values.

NormalizedAmplitudeToGraph

• Input: Normalized amplitude data.
• Output: Graph image of normalized amplitude.
• Description: Generates a graph to visualize normalized amplitude data.

AmplitudeToNumber

• Input: Amplitude data.
• Output: Float and integer values of amplitude.
• Description: Converts amplitude data to numerical values.

AmplitudeToGraph

• Input: Amplitude data.
• Output: Graph image of amplitude.
• Description: Generates a graph to visualize amplitude data.

Troubleshooting ComfyUI-AudioScheduler

Common Issues and Solutions

1. Audio File Not Loading:

• Solution: Ensure the audio file is in MP3 or WAV format and located in the specified directory.

2. No Output from FFT Node:

• Solution: Check that the audio data is correctly loaded and the channel and frames per second are properly set.

3. Graph Not Displaying:

• Solution: Verify that the input data is correct and within the specified frequency range.

Frequently Asked Questions

• Q: Can I use other audio formats?
• A: Currently, only MP3 and WAV formats are supported.
• Q: How do I adjust the frequency range for analysis?
• A: Use the lower_band_range and upper_band_range parameters in the relevant nodes.
• Q: What does normalizing amplitude do?
• A: Normalizing scales the amplitude data to a standard range, making it easier to compare and use in visualizations.

Learn More about ComfyUI-AudioScheduler

For more detailed tutorials, documentation, and community support, you can explore the following resources:

• ComfyUI-AudioScheduler GitHub Repository
• ComfyUI Community Forums
• Video Tutorials on YouTube These resources will help you get the most out of ComfyUI-AudioScheduler and connect with other AI artists who are using the extension in their projects.