ComfyUI Node: 🎛️ Spectral Enhance (Fat Llama — GPU)

🎛️ Spectral Enhance (Fat Llama — GPU):

The EgregoraFatLlamaGPU node is designed to enhance audio quality by leveraging GPU acceleration for spectral enhancement. This node is part of the Egregora Audio Super Resolution suite and is specifically optimized for systems with NVIDIA GPUs, utilizing CUDA and CuPy for efficient processing. The primary goal of this node is to upscale audio quality by normalizing and enhancing the spectral components of audio files, ensuring that the final output is free from clipping and distortion. By disabling the adaptive filter, the node prioritizes speed, making it ideal for users who require quick processing without compromising on the quality of the audio output. This node is particularly beneficial for AI artists and audio engineers looking to improve the clarity and richness of their audio projects.

🎛️ Spectral Enhance (Fat Llama — GPU) Input Parameters:

target_format

The target_format parameter specifies the desired output format of the audio file, with options including "wav" and "flac". This choice determines the container format for the enhanced audio, allowing you to select the format that best suits your needs for quality and compatibility.

max_iterations

The max_iterations parameter controls the number of iterations the enhancement process will perform, with a default value of 300. It can range from a minimum of 1 to a maximum of 5000. Increasing the number of iterations can lead to more refined audio enhancement, but may also increase processing time.

threshold_value

The threshold_value parameter sets the sensitivity of the enhancement process, with a default value of 0.6. It ranges from 0.0 to 1.0, with increments of 0.01. This value influences how aggressively the node enhances the audio, with higher values potentially leading to more pronounced enhancements.

target_bitrate_kbps

The target_bitrate_kbps parameter defines the target bitrate for the output audio in kilobits per second, with a default of 1411 kbps. It can range from 64 to 5000 kbps. This setting affects the quality and size of the output file, with higher bitrates generally resulting in better audio quality.

toggle_autoscale

The toggle_autoscale parameter is a boolean option that, when enabled (default is True), automatically scales the audio to prevent clipping and ensure optimal amplitude levels. This feature helps maintain audio integrity and prevents distortion in the final output.

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 and wish to enhance it using the node.

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 allows you to easily select and process audio files stored on your system.

audio_url

The audio_url parameter is an optional string input that allows you to provide a URL to an audio file for processing. This is useful for enhancing audio files that are hosted online, providing flexibility in sourcing your audio content.

🎛️ Spectral Enhance (Fat Llama — GPU) Output Parameters:

waveform

The waveform output parameter provides the enhanced audio data as a tensor, which can be used for further processing or playback. This output represents the improved audio quality achieved through the node's spectral enhancement process.

sample_rate

The sample_rate output parameter indicates the sample rate of the enhanced audio, ensuring that the output is compatible with various audio playback and processing systems. This parameter is crucial for maintaining the integrity and synchronization of the audio data.

🎛️ Spectral Enhance (Fat Llama — GPU) Usage Tips:

• Ensure that your system has an NVIDIA GPU with CUDA support to fully utilize the capabilities of this node, as it relies on GPU acceleration for optimal performance.
• Experiment with the max_iterations and threshold_value parameters to find the right balance between processing time and audio quality, especially if you are working with different types of audio content.

🎛️ Spectral Enhance (Fat Llama — GPU) Common Errors and Solutions:

CUDA GPU not detected. Fat Llama (GPU) requires an NVIDIA GPU.

• Explanation: This error occurs when the node is unable to detect a compatible NVIDIA GPU on your system, which is necessary for GPU acceleration.
• Solution: Ensure that your system has an NVIDIA GPU installed and that the necessary CUDA drivers are correctly configured. If you do not have a GPU, consider using the CPU version of the node.

CuPy failed to import. Ensure you've installed a CUDA-12 build.

• Explanation: This error indicates that the CuPy library, which is essential for GPU processing, is not installed or configured correctly.
• Solution: Install the appropriate version of CuPy for your CUDA setup using the command pip install cupy-cuda12x, and ensure that the NVIDIA runtime headers and NVRTC are also installed with pip install "nvidia-cuda-runtime-cu12==12.X.*" "nvidia-cuda-nvrtc-cu12==12.X.*".