Generate dynamic latent noise patterns driven by audio analysis.
Analyzes audio files using various methods:
- Onset detection (note starts)
- Spectral content
- Beat tracking
- Tempo analysis
- MEL spectrograms
Converts audio analysis into noise parameters:
- Intensity based on audio energy
- Grain size from spectral features
- Persistence from temporal changes
Converts noise parameters to latent space noise using:
- Gaussian noise
- Salt & pepper noise
- Perlin noise
Creates musical visualization-style patterns:
- Simplex noise
- Cellular patterns
- Fractal Brownian Motion (FBM)
- Wave patterns
- Domain warping
- Input audio file through Librosa Analysis
- Choose analysis type (onset/tempo/mel/etc.)
- Convert to noise parameters
- Generate latent noise
- Connect to ksampler
- 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.

