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Fix: unet save_attn_procs at UNet2DconditionLoadersMixin (#8699)

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* fix: unet save_attn_procs at custom diffusion

* style: recover unchanaged parts(max line length 119) / mod: add condition

* style: recover unchanaged parts(max line length 119)

---------

Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
This commit is contained in:
Donald.Lee
2024-06-27 02:00:49 +09:00
committed by GitHub
parent 8ef0d9deff
commit ea6938aea5
1 changed files with 9 additions and 0 deletions
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9
src/diffusers/loaders/unet.py
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@@ -457,6 +457,15 @@ class UNet2DConditionLoadersMixin:
)
if is_custom_diffusion:
state_dict = self._get_custom_diffusion_state_dict()
if save_function is None and safe_serialization:
# safetensors does not support saving dicts with non-tensor values
empty_state_dict = {k: v for k, v in state_dict.items() if not isinstance(v, torch.Tensor)}
if len(empty_state_dict) > 0:
logger.warning(
f"Safetensors does not support saving dicts with non-tensor values. "
f"The following keys will be ignored: {empty_state_dict.keys()}"
)
state_dict = {k: v for k, v in state_dict.items() if isinstance(v, torch.Tensor)}
else:
if not USE_PEFT_BACKEND:
raise ValueError("PEFT backend is required for saving LoRAs using the `save_attn_procs()` method.")