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Allow diffusers to load with Flax, w/o PyTorch #6272

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merged 1 commit into from
Dec 22, 2023
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Allow diffusers to load with Flax, w/o PyTorch #6272

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6 changes: 3 additions & 3 deletions src/diffusers/utils/torch_utils.py
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Expand Up @@ -89,7 +89,7 @@ def is_compiled_module(module) -> bool:
return isinstance(module, torch._dynamo.eval_frame.OptimizedModule)


def fourier_filter(x_in: torch.Tensor, threshold: int, scale: int) -> torch.Tensor:
def fourier_filter(x_in: "torch.Tensor", threshold: int, scale: int) -> "torch.Tensor":
"""Fourier filter as introduced in FreeU (https://arxiv.org/abs/2309.11497).

This version of the method comes from here:
Expand Down Expand Up @@ -121,8 +121,8 @@ def fourier_filter(x_in: torch.Tensor, threshold: int, scale: int) -> torch.Tens


def apply_freeu(
resolution_idx: int, hidden_states: torch.Tensor, res_hidden_states: torch.Tensor, **freeu_kwargs
) -> Tuple[torch.Tensor, torch.Tensor]:
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.

Expand Down