NovaSR:
NovaSR is an advanced audio super-resolution node designed for ComfyUI, which specializes in upscaling audio files to a high-quality 48kHz sample rate using the ultra-fast NovaSR model. This model is remarkably efficient, operating at 3600 times real-time speed while maintaining a compact size of just 50KB. NovaSR is particularly beneficial for enhancing the audio quality of low-resolution audio files, making it an ideal tool for AI artists and audio enthusiasts who seek to improve the clarity and fidelity of their audio content. By converting audio to a higher sample rate, NovaSR ensures that the resulting sound is richer and more detailed, which is crucial for applications requiring high-quality audio output.
NovaSR Input Parameters:
audio_waveform
The audio_waveform parameter represents the input audio data that you wish to upscale. It is crucial for the node's operation as it provides the raw audio that will be processed and enhanced. The waveform should be in a format that the node can interpret, typically as a NumPy array. The node can handle both mono and stereo inputs, but it will convert stereo inputs to mono since NovaSR processes audio in mono format. This parameter directly impacts the quality and characteristics of the output audio, as the original audio's resolution and clarity will influence the upscaled result.
sr
The sr parameter stands for the sample rate of the input audio waveform. It is essential because NovaSR requires the input audio to be at a specific sample rate of 16kHz for processing. If the input audio's sample rate differs, the node will automatically resample it to meet this requirement. This parameter ensures that the audio is in the correct format for the NovaSR model to process effectively, and it plays a critical role in determining the duration and quality of the output audio.
NovaSR Output Parameters:
output_waveform
The output_waveform parameter is the enhanced audio data produced by the NovaSR node. This output is a high-resolution audio waveform with a sample rate of 48kHz, providing a richer and more detailed sound compared to the input. The output waveform is typically in a 2D format, representing channels and samples, and if the input was mono, it can be converted to stereo for the output. This parameter is crucial for users who need high-quality audio for their projects, as it delivers the final upscaled audio ready for use.
spectrogram_image
The spectrogram_image parameter is an optional output that provides a visual representation of the audio's frequency spectrum before and after processing. This spectrogram comparison can be useful for users who want to visually assess the improvements made by the NovaSR node. It highlights the differences in frequency content and can be a valuable tool for understanding the enhancements in audio quality achieved through the super-resolution process.
NovaSR Usage Tips:
- Ensure your input audio is clear and free from excessive noise to achieve the best results with NovaSR, as the quality of the input directly affects the output.
- Use the spectrogram comparison feature to visually assess the improvements in audio quality, which can help in fine-tuning your input settings for optimal results.
- If working with stereo audio, remember that NovaSR processes in mono, so consider how this conversion might affect your final output.
NovaSR Common Errors and Solutions:
"Resampling from {sr}Hz to 16000Hz ( NovaSR requirement)"
- Explanation: This message indicates that the input audio sample rate does not match the required 16kHz for processing, and the node is automatically resampling it.
- Solution: Ensure your input audio is already at 16kHz to avoid unnecessary resampling, which can save processing time and maintain audio quality.
"Output waveform must be 2D [channels, samples], got shape {output_waveform.shape}"
- Explanation: This error occurs when the output waveform does not have the expected two-dimensional shape, which can happen if the input audio format is incorrect.
- Solution: Verify that your input audio is correctly formatted and that the processing steps are followed as expected to ensure the output waveform is in the correct shape.
