code: def next(self):
      if self.is_first:
          self.is_first = False
          return self.first()
  
      xs = []
      for generator in self.generators:
          x = randn_without_seed(self.shape, generator=generator)
          xs.append(x)
  
      return torch.stack(xs).to(shared.device)
  
file_path: stable-diffusion-webui/modules/rng.py
imports: import torch
  from modules import devices, rng_philox, shared
label_desc: Use image node_id 3 for calling the ImageRNG obj's underlying member method code with example usage: obj.next() and returns: torch, self