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fix the warning torch_dtype is deprecated #12841

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fix the warning torch_dtype is deprecated #12841

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b609f24
fix the warning torch_dtype is deprecated
msdsm Dec 15, 2025
6efe8da
Merge branch 'main' into feature/fix-warning-deprecated
msdsm Dec 15, 2025
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19 changes: 12 additions & 7 deletions src/diffusers/pipelines/pipeline_loading_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -801,13 +801,7 @@ def load_sub_model(
# add kwargs to loading method
diffusers_module = importlib.import_module(__name__.split(".")[0])
loading_kwargs = {}
if issubclass(class_obj, torch.nn.Module):
loading_kwargs["torch_dtype"] = torch_dtype
if issubclass(class_obj, diffusers_module.OnnxRuntimeModel):
loading_kwargs["provider"] = provider
loading_kwargs["sess_options"] = sess_options
loading_kwargs["provider_options"] = provider_options


is_diffusers_model = issubclass(class_obj, diffusers_module.ModelMixin)

if is_transformers_available():
Expand All @@ -820,6 +814,17 @@ def load_sub_model(
and issubclass(class_obj, PreTrainedModel)
and transformers_version >= version.parse("4.20.0")
)

# For transformers models, use 'dtype' instead of 'torch_dtype' to avoid deprecation warnings
if issubclass(class_obj, torch.nn.Module):
if is_transformers_model:
loading_kwargs["dtype"] = torch_dtype
else:
loading_kwargs["torch_dtype"] = torch_dtype
if issubclass(class_obj, diffusers_module.OnnxRuntimeModel):
loading_kwargs["provider"] = provider
loading_kwargs["sess_options"] = sess_options
loading_kwargs["provider_options"] = provider_options

# When loading a transformers model, if the device_map is None, the weights will be initialized as opposed to diffusers.
# To make default loading faster we set the `low_cpu_mem_usage=low_cpu_mem_usage` flag which is `True` by default.
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