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Fix torch_dtype warning showing wrong value in from_single_file #13542

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Fix torch_dtype warning showing wrong value in from_single_file #13542

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2 changes: 1 addition & 1 deletion src/diffusers/loaders/single_file.py
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Original file line number Diff line number Diff line change
Expand Up @@ -366,10 +366,10 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs) -> Self:
is_legacy_loading = False

if torch_dtype is not None and not isinstance(torch_dtype, torch.dtype):
torch_dtype = torch.float32
logger.warning(
f"Passed `torch_dtype` {torch_dtype} is not a `torch.dtype`. Defaulting to `torch.float32`."
)
torch_dtype = torch.float32

# We shouldn't allow configuring individual models components through a Pipeline creation method
# These model kwargs should be deprecated
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