EmptyLatentAudio

Documentation

• Class name: EmptyLatentAudio
• Category: _for_testing/audio
• Output node: False

The EmptyLatentAudio node is designed to generate a blank audio latent space representation. It creates a tensor of zeros that serves as a placeholder or starting point for further audio processing or generation tasks.

Input types

Required

• seconds
  • Specifies the duration in seconds for which the blank audio latent space is to be generated. This duration determines the size of the resulting tensor.
  • Comfy dtype: FLOAT
  • Python dtype: float

Output types

• latent
  • Comfy dtype: LATENT
  • Outputs a tensor representing a blank audio latent space, which can be used as a starting point for audio generation or processing.
  • Python dtype: torch.Tensor

Usage tips

• Infra type: GPU
• Common nodes: unknown

Source code

class EmptyLatentAudio:
    def __init__(self):
        self.device = comfy.model_management.intermediate_device()

    @classmethod
    def INPUT_TYPES(s):
        return {"required": {"seconds": ("FLOAT", {"default": 47.6, "min": 1.0, "max": 1000.0, "step": 0.1})}}
    RETURN_TYPES = ("LATENT",)
    FUNCTION = "generate"

    CATEGORY = "_for_testing/audio"

    def generate(self, seconds):
        batch_size = 1
        length = round((seconds * 44100 / 2048) / 2) * 2
        latent = torch.zeros([batch_size, 64, length], device=self.device)
        return ({"samples":latent, "type": "audio"}, )