ComfyUI Node: 🎛️ Spectral Enhance (Fat Llama — CPU/FFTW)

🎛️ Spectral Enhance (Fat Llama — CPU/FFTW):

The EgregoraFatLlamaCPU node is designed to enhance audio files by leveraging a spectral enhancement technique using the pyFFTW backend, which operates purely on the CPU. This node is particularly beneficial for users who do not have access to GPU resources, as it does not require CUDA or CuPy. The primary goal of this node is to upscale audio quality by refining the spectral components of the audio, making it sound richer and more detailed. It is capable of processing audio files in WAV or FLAC formats and can handle inputs from local paths or URLs. The node is ideal for audio artists and enthusiasts looking to improve the quality of their audio files without the need for specialized hardware.

🎛️ Spectral Enhance (Fat Llama — CPU/FFTW) Input Parameters:

target_format

The target_format parameter specifies the desired output format of the audio file, with options being "wav" or "flac". This choice affects the container format of the processed audio, allowing you to select the format that best suits your needs or preferences.

max_iterations

The max_iterations parameter determines the maximum number of iterations the enhancement process will perform. It ranges from 1 to 10,000, with a default value of 800. Increasing the number of iterations can lead to more refined audio enhancement, but it may also increase processing time.

threshold_value

The threshold_value parameter sets the threshold for the enhancement process, with a range from 0.0 to 1.0 and a default value of 0.6. This value influences the sensitivity of the enhancement, where a higher threshold may result in more pronounced changes to the audio.

target_bitrate_kbps

The target_bitrate_kbps parameter specifies the target bitrate for the output audio in kilobits per second, ranging from 64 to 5000, with a default of 1411. This setting affects the quality and size of the output file, with higher bitrates generally providing better audio quality.

AUDIO

The AUDIO parameter is an optional input that allows you to directly provide an audio file for processing. This can be useful if you have an audio file already loaded in your environment.

audio_path

The audio_path parameter is an optional string input that specifies the file path to the audio file you wish to enhance. This is useful for processing audio files stored locally on your system.

audio_url

The audio_url parameter is an optional string input that allows you to specify a URL to an audio file for processing. This is particularly useful for processing audio files available online.

🎛️ Spectral Enhance (Fat Llama — CPU/FFTW) Output Parameters:

waveform

The waveform output parameter provides the enhanced audio data in the form of a tensor. This tensor represents the audio waveform, which can be used for further processing or playback in your audio applications.

sample_rate

The sample_rate output parameter indicates the sample rate of the enhanced audio. This value is important for ensuring that the audio is played back at the correct speed and quality.

🎛️ Spectral Enhance (Fat Llama — CPU/FFTW) Usage Tips:

• Ensure that the fat-llama-fftw package is installed in your Python environment to avoid runtime errors.
• Experiment with the max_iterations and threshold_value parameters to find the optimal balance between processing time and audio quality for your specific needs.

🎛️ Spectral Enhance (Fat Llama — CPU/FFTW) Common Errors and Solutions:

Missing dependency: fat-llama-fftw

• Explanation: This error occurs when the required fat-llama-fftw package is not installed in your Python environment.
• Solution: Install the package by running python -m pip install fat-llama-fftw in your command line.

File not found or invalid path

• Explanation: This error may occur if the specified audio_path or audio_url is incorrect or the file does not exist.
• Solution: Verify that the file path or URL is correct and that the file is accessible from your environment.