RandomNoise

Documentation

Class name: RandomNoise
Category: sampling/custom_sampling/noise
Output node: False

The RandomNoise node generates random noise based on a given seed. It is designed to introduce variability into processes by providing a randomized element that can be consistently reproduced using the seed value.

Input types

Required

noise_seed
- The 'noise_seed' parameter specifies the seed for the random noise generation, ensuring reproducibility of the noise pattern for given seed values. It plays a crucial role in the generation of consistent random noise across different executions.
- Comfy dtype: INT
- Python dtype: int

Output types

noise
- Comfy dtype: NOISE
- This output represents the generated random noise, which can be used to introduce randomness into various processes, such as image generation or sampling, based on the provided seed.
- Python dtype: tuple

Usage tips

Infra type: CPU
Common nodes: unknown

Source code

class RandomNoise(DisableNoise):
    @classmethod
    def INPUT_TYPES(s):
        return {"required":{
                    "noise_seed": ("INT", {"default": 0, "min": 0, "max": 0xffffffffffffffff}),
                     }
                }

    def get_noise(self, noise_seed):
        return (Noise_RandomNoise(noise_seed),)

1.4 KiB Raw Permalink Blame History