code: def apply_freeu(
      resolution_idx: int,
      hidden_states: torch.Tensor,
      res_hidden_states: torch.Tensor,
      **freeu_kwargs,
  ) -> Tuple[torch.Tensor, torch.Tensor]:
      """Applies the FreeU mechanism as introduced in https:
      //arxiv.org/abs/2309.11497. Adapted from the official code repository: https://github.com/ChenyangSi/FreeU.
  
      Args:
          resolution_idx (`int`): Integer denoting the UNet block where FreeU is being applied.
          hidden_states (`torch.Tensor`): Inputs to the underlying block.
          res_hidden_states (`torch.Tensor`): Features from the skip block corresponding to the underlying block.
          s1 (`float`): Scaling factor for stage 1 to attenuate the contributions of the skip features.
          s2 (`float`): Scaling factor for stage 2 to attenuate the contributions of the skip features.
          b1 (`float`): Scaling factor for stage 1 to amplify the contributions of backbone features.
          b2 (`float`): Scaling factor for stage 2 to amplify the contributions of backbone features.
      """
      if resolution_idx == 0:
          num_half_channels = hidden_states.shape[1] // 2
          hidden_states[:, :num_half_channels] = (
              hidden_states[:, :num_half_channels] * freeu_kwargs["b1"]
          )
          res_hidden_states = fourier_filter(
              res_hidden_states, threshold=1, scale=freeu_kwargs["s1"]
          )
      if resolution_idx == 1:
          num_half_channels = hidden_states.shape[1] // 2
          hidden_states[:, :num_half_channels] = (
              hidden_states[:, :num_half_channels] * freeu_kwargs["b2"]
          )
          res_hidden_states = fourier_filter(
              res_hidden_states, threshold=1, scale=freeu_kwargs["s2"]
          )
  
      return hidden_states, res_hidden_states
  
imports: from typing import List, Optional, Tuple, Union
  from .None import logging
  from .import_utils import is_torch_available, is_torch_version
label_desc: Use image node_id 4 for calling a global function with example usage: apply_freeu(resolution_idx, hidden_states, res_hidden_states) and returns: hidden_states,  res_hidden_states