code: def apply_circular(self, enable):
      if self.circular_enabled == enable:
          return
  
      self.circular_enabled = enable
  
      for layer in [
          layer
          for layer in self.layers
          if type(layer) == torch.nn.Conv2d
      ]:
          layer.padding_mode = "circular" if enable else "zeros"
  
imports: import torch
  from torch.nn.functional import silu
  from types import MethodType
  from modules import devices, sd_hijack_optimizations, shared, script_callbacks, errors, sd_unet, patches
  from modules.hypernetworks import hypernetwork
  from modules.shared import cmd_opts
  from modules import sd_hijack_clip, sd_hijack_open_clip, sd_hijack_unet, sd_hijack_xlmr, xlmr, xlmr_m18
  import ldm.modules.attention
  import ldm.modules.diffusionmodules.model
  import ldm.modules.diffusionmodules.openaimodel
  import ldm.models.diffusion.ddpm
  import ldm.models.diffusion.ddim
  import ldm.models.diffusion.plms
  import ldm.modules.encoders.modules
  import sgm.modules.attention
  import sgm.modules.diffusionmodules.model
  import sgm.modules.diffusionmodules.openaimodel
  import sgm.modules.encoders.modules
label_desc: Use image node_id 6 for calling the StableDiffusionModelHijack obj's underlying member method code with example usage: obj.apply_circular(enable) without return types