arcum42-ComfyUI_SageUtils/js/docs/Sage_KSamplerAudioDecoder.md

Sage_KSamplerAudioDecoder

KSampler + Audio Decoder

A specialized KSampler node designed for audio generation workflows. It performs sampling on latent audio data and automatically decodes it to audio format, outputting both the denoised latent and decoded audio.

Inputs

Required

• model (MODEL): The model used for denoising the input latent
• sampler_info (SAMPLER_INFO): Most of the KSampler options. Should be piped both here and to the Construct Metadata node
• positive (CONDITIONING): The conditioning describing the attributes you want to include in the audio
• negative (CONDITIONING): The conditioning describing the attributes you want to exclude from the audio
• latent_audio (LATENT): The latent audio to denoise
• vae (VAE): The VAE used for decoding the latent audio
• denoise (FLOAT): The amount of denoising applied, lower values will maintain the structure of the initial audio allowing for audio to audio sampling (default: 1.0, range: 0.0-1.0)

Optional

• advanced_info (ADV_SAMPLER_INFO): Optional. Adds in the options an advanced KSampler would have

Outputs

• LATENT: The denoised latent
• AUDIO: The decoded audio (44.1kHz sample rate with normalized waveform)

Usage

This node is specifically designed for audio generation workflows using latent diffusion models. It combines the sampling and decoding steps into a single node for convenience.

Key features:

• Automatic audio normalization (scales by 5x standard deviation, minimum 1.0)
• Fixed 44.1kHz sample rate output
• Supports advanced sampling options when connected to Sage_AdvSamplerInfo
• Works with the Sage_SamplerInfo node for consistent workflow integration

Notes

• The audio output includes automatic normalization to prevent clipping
• This node is optimized for audio generation workflows
• Use with audio-specific VAE models for best results
• The latent_audio input should come from audio-compatible latent sources