Extensions/AudioDriven-Latent-Space-Tools-for-ComfyUI
ComfyUI Extension

AudioDriven-Latent-Space-Tools-for-ComfyUI

This is a custom node for ComfyUI that analyzes audio files using Librosa, extracting tempo, beat times, energy levels, and timestamps. The analysis results can be…

By Kayarte·Created 2 years ago·Updated about a year ago· 3
Kayarte/AudioDriven-Latent-Space-Tools-for-ComfyUI
Nodes4
On cloudLocal install
Categoryaudio/noise, Audio Processing
Stars3
Updatedabout a year ago
Readme

AudioDriven Latent Space Tools for ComfyUI

Generate dynamic latent noise patterns driven by audio analysis.

Nodes

Librosa Audio Analysis

Analyzes audio files using various methods:

  • Onset detection (note starts)
  • Spectral content
  • Beat tracking
  • Tempo analysis
  • MEL spectrograms

Audio To Noise Parameters

Converts audio analysis into noise parameters:

  • Intensity based on audio energy
  • Grain size from spectral features
  • Persistence from temporal changes

Audio Noise to Latent

Converts noise parameters to latent space noise using:

  • Gaussian noise
  • Salt & pepper noise
  • Perlin noise

Advanced Audio Noise Patterns

Creates musical visualization-style patterns:

  • Simplex noise
  • Cellular patterns
  • Fractal Brownian Motion (FBM)
  • Wave patterns
  • Domain warping

Usage

  1. Input audio file through Librosa Analysis
  2. Choose analysis type (onset/tempo/mel/etc.)
  3. Convert to noise parameters
  4. Generate latent noise
  5. Connect to ksampler
  6. Use with low denoising (<0.5) for audio-visual blending

WARNING: Advanced Audio Noise Patterns Node

Typical image counts: Average measurements by analysis type (from 3s, 11.65s, and 89s samples)

Default: huge (~122K for 89s)

Mel/spectral/tempo: high (~7.6K for 89s)

Onset: moderate (60-500 depending on complexity) 

Beat: low (14-168 based on tempo) 

Second: consistent (~length in seconds) 

Half_second: consistent (~2x seconds) 

    

Installation

Download or clone this repository to your ComfyUI\custom_nodes folder

This node is part of a ongoing solo project to integrate music analysis. plz enjoy.

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