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ComfyUI Audio Waveform Visualizer

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Audio waveform visualization nodes for ComfyUI.

ComfyUI Audio Waveform Visualizer

Audio waveform visualization nodes for ComfyUI.

Preview

Preview

Features

  • Real-time Visualization: View waveforms directly on the canvas.
  • Image Generation: Generate image tensors using Matplotlib or FFmpeg.
  • Customization: Control over colors, dimensions, and layout.
  • Performance: Optimized for long audio files via downsampling.

Quick Start

1. Prerequisite: FFmpeg

Required for the Audio Waveform (FFMPEG) node.

  • Linux: sudo apt install ffmpeg
  • macOS: brew install ffmpeg
  • Windows: Download from gyan.dev and add to PATH.

2. Installation

cd ComfyUI/custom_nodes/
git clone https://github.com/kaushiknishchay/ComfyUI-Audio-Waveform-Visualizer audio-visualizer
pip install -r requirements.txt

Node Breakdown

1. Audio Waveform Visualizer

A high-performance JS-based visualizer for immediate feedback.

  • Output: AUDIO (Pass-through)
  • UI: Interactive canvas.

2. Audio to Waveform Image (Matplotlib)

Generates an image tensor using Matplotlib.

  • Output: IMAGE (RGBA)
  • Customization: Supports hex colors and custom dimensions.

3. Audio Waveform (FFMPEG)

Visualization using FFmpeg filters.

  • Output: IMAGE (RGB)
  • Features: Peak/RMS visualization, Stereo channel splitting.

Example Workflow

Find the reference workflow in workflows/AudioWaveform.json.