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ComfyUI-Egregora-Audio-Super-Resolution

✨ High‐quality music audio enhancement for ComfyUI: FlashSR Super‐Resolution + Fat Llama spectral enhancement (GPU & CPU).

Responsable@lucasgattasB · adoptioncalidad

Perfil del paquete

Estado
Verificado
Publicador
@lucasgattas
Fuente
GitHub

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ComfyUI Egregora Audio Super Resolution

A focused audio toolkit for ComfyUI: upscale, enhance, and evaluate audio quality with a clean, practical workflow. This pack is built for real-world use: minimal setup, clear node purposes, and tools to verify results.


Project scope (what this is and is not)

What it is:

  • A set of audio enhancement nodes (FlashSR + Fat Llama) plus evaluation tools (ABX, loudness, null tests).
  • Designed to help you improve low-quality audio and measure changes reliably.

What it is not:

  • Not a magical "increase bitrate" tool. It enhances signal content and writes a new file at a chosen format/bitrate.
  • Not a replacement for professional mastering. Think of it as an audio cleanup/boost stage.

Nodes overview (what each one does)

1) Audio Super Resolution (FlashSR)

Purpose: Diffusion-based upsampler aimed at musical content. It resamples internally to 48 kHz and can resample output back to your target rate.

Best for:

  • Low to mid quality music or wideband content
  • Improving detail and clarity in band-limited audio

Inputs:

  • audio (AUDIO)
  • lowpass_input (BOOL) gentle LPF before inference
  • output_sr (48000 / 44100 / 96000)

Outputs:

  • One AUDIO buffer

Use case:

  • Feed an audio file node -> FlashSR -> Preview Audio

2) Spectral Enhance (Fat Llama GPU)

Purpose: Iterative spectral enhancement using CuPy on GPU.

Best for:

  • Noisy or compressed audio
  • Sharpening "sparkle" and spectral detail

Inputs:

  • target_format (wav / flac)
  • max_iterations (higher = more aggressive, slower)
  • threshold_value (controls spectral gating)
  • target_bitrate_kbps (target write bitrate)
  • toggle_normalize (on by default)
  • toggle_autoscale (on by default)

Outputs:

  • One AUDIO buffer

Use case:

  • Audio -> Fat Llama GPU -> Preview

3) Spectral Enhance (Fat Llama CPU/FFTW)

Purpose: CPU fallback using FFTW. Same idea as GPU but slower.

Use case:

  • When you don´t have CUDA/CuPy

4) Enhance Extras

Purpose: Denoise, dereverb, and codec tools you can chain in front of FlashSR or Fat Llama.

Includes:

  • RNNoise Denoise
  • DeepFilterNet 2/3 Denoise
  • WPE Dereverb
  • DAC encode/decode

5) Eval Pack

Purpose: Measure loudness, distortion, and quality.

Includes:

  • Loudness meter (LUFS approx)
  • Gain match (LUFS/RMS)
  • ABX preparation/judge
  • Spectral metrics (SI-SDR, LSD)
  • High quality resampler

6) Null Test Suite

Purpose: See exactly what changed between A and B by aligning and subtracting signals.

Includes:

  • Alignment (GCC-PHAT)
  • Gain match
  • Null output and plots

How to combine nodes (common workflows)

Clean + enhance (recommended chain)

  1. Denoise/Dereverb (Extras)
  2. FlashSR (optional)
  3. Fat Llama (light pass)
  4. Eval Pack or Null Test to verify

FlashSR only

  • Audio -> FlashSR -> Preview

Fat Llama only

  • Audio -> Fat Llama -> Preview

Installation

1) Copy node pack

Place this folder into:

ComfyUI/custom_nodes/ComfyUI-Egregora-Audio-Super-Resolution

Restart ComfyUI once.


2) Install dependencies (recommended)

Use ComfyUI´s embedded Python:

python_embeded\python.exe -m pip install -r ComfyUI\custom_nodes\ComfyUI-Egregora-Audio-Super-Resolution
equirements.txt
python_embeded\python.exe ComfyUI\custom_nodes\ComfyUI-Egregora-Audio-Super-Resolution\install.py

Notes:

  • Torch/torchaudio are not installed here to avoid breaking ComfyUI.
  • On Windows, install.py installs NVIDIA CUDA runtime wheels for CuPy.

FlashSR repo and weights

The node auto-downloads the FlashSR inference repo on first use into deps/FlashSR_Inference/: https://github.com/jakeoneijk/FlashSR_Inference

However, FlashSR model weights are not included in this p

Nodos de este paquete

19 nodos
  • ABX Judge
  • ABX Prepare
  • Audio Align (XCorr)
  • Audio Gain Match
  • Audio Gain Match (1770)
  • Audio Null Test
  • Audio Plotter
  • Egregora_DAC_Decode
  • Egregora_DAC_Encode
  • Egregora_DeepFilterNet_Denoise
  • Egregora_RNNoise_Denoise
  • Egregora_WPE_Dereverb
  • EgregoraAudioUpscaler
  • EgregoraFatLlamaCPU
  • EgregoraFatLlamaGPU
  • Loudness Meter (BS1770)
  • Metrics (LSD + SI-SDR)
  • Null Test (Full)
  • Resample Audio (HQ)

Fuentes

3 fuentes
GitHubFuenteVersión 4d805f20b335100c1886e4a3a85d4dbd4fb4adc4
github.com/lucasgattas/ComfyUI-Egregora-Audio-Super-Resolution

Verificado 23 oct

Extractos de fuentes

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Source context: Repo lucasgattas/ComfyUI-Egregora-Audio-Super-Resolution