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add correct optional annotation to precision arg

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This commit is contained in:
Lincoln Stein 2023-07-29 17:30:21 -04:00
parent 1de783b1ce
commit e82eb0b9fc
1 changed files with 3 additions and 3 deletions
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6
invokeai/backend/model_management/convert_ckpt_to_diffusers.py
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@ -1070,7 +1070,7 @@ def convert_controlnet_checkpoint(
extract_ema,
use_linear_projection=None,
cross_attention_dim=None,
precision: torch.dtype = None,
precision: Optional[torch.dtype] = None,
):
ctrlnet_config = create_unet_diffusers_config(original_config, image_size=image_size, controlnet=True)
ctrlnet_config["upcast_attention"] = upcast_attention
@ -1120,7 +1120,7 @@ def download_from_original_stable_diffusion_ckpt(
prediction_type: str = None,
model_type: str = None,
extract_ema: bool = False,
precision: torch.dtype = None,
precision: Optional[torch.dtype] = None,
scheduler_type: str = "pndm",
num_in_channels: Optional[int] = None,
upcast_attention: Optional[bool] = None,
@ -1647,7 +1647,7 @@ def download_controlnet_from_original_ckpt(
original_config_file: str,
image_size: int = 512,
extract_ema: bool = False,
precision: torch.dtype = None,
precision: Optional[torch.dtype] = None,
num_in_channels: Optional[int] = None,
upcast_attention: Optional[bool] = None,
device: str = None,