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[Chore] clean residue from copy-pasting in the UNet single file loader #7295

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Mar 13, 2024
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[Chore] clean residue from copy-pasting in the UNet single file loader #7295

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12 changes: 6 additions & 6 deletions src/diffusers/loaders/unet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -905,14 +905,14 @@ def _load_ip_adapter_weights(self, state_dicts, low_cpu_mem_usage=False):

class FromOriginalUNetMixin:
"""
Load pretrained UNet model weights saved in the `.ckpt` or `.safetensors` format into a [`ControlNetModel`].
Load pretrained UNet model weights saved in the `.ckpt` or `.safetensors` format into a [`StableCascadeUNet`].
"""

@classmethod
@validate_hf_hub_args
def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
r"""
Instantiate a [`ControlNetModel`] from pretrained ControlNet weights saved in the original `.ckpt` or
Instantiate a [`StableCascadeUNet`] from pretrained StableCascadeUNet weights saved in the original `.ckpt` or
`.safetensors` format. The pipeline is set in evaluation mode (`model.eval()`) by default.

Parameters:
Expand Down Expand Up @@ -951,6 +951,10 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
Can be used to overwrite load and saveable variables of the model.

"""
class_name = cls.__name__
if class_name != "StableCascadeUNet":
raise ValueError("FromOriginalUNetMixin is currently only compatible with StableCascadeUNet")
Comment on lines +954 to +956
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@sayakpaul sayakpaul Mar 13, 2024

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Errors should be caught as early as possible.


config = kwargs.pop("config", None)
resume_download = kwargs.pop("resume_download", False)
force_download = kwargs.pop("force_download", False)
Expand All @@ -961,10 +965,6 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
revision = kwargs.pop("revision", None)
torch_dtype = kwargs.pop("torch_dtype", None)

class_name = cls.__name__
if class_name != "StableCascadeUNet":
raise ValueError("FromOriginalUNetMixin is currently only compatible with StableCascadeUNet")

checkpoint = load_single_file_model_checkpoint(
pretrained_model_link_or_path,
resume_download=resume_download,
Expand Down