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https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
add correct optional annotation to precision arg
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parent
1de783b1ce
commit
e82eb0b9fc
@ -1070,7 +1070,7 @@ def convert_controlnet_checkpoint(
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extract_ema,
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extract_ema,
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use_linear_projection=None,
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use_linear_projection=None,
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cross_attention_dim=None,
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cross_attention_dim=None,
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precision: torch.dtype = None,
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precision: Optional[torch.dtype] = None,
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):
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):
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ctrlnet_config = create_unet_diffusers_config(original_config, image_size=image_size, controlnet=True)
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ctrlnet_config = create_unet_diffusers_config(original_config, image_size=image_size, controlnet=True)
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ctrlnet_config["upcast_attention"] = upcast_attention
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ctrlnet_config["upcast_attention"] = upcast_attention
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@ -1120,7 +1120,7 @@ def download_from_original_stable_diffusion_ckpt(
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prediction_type: str = None,
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prediction_type: str = None,
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model_type: str = None,
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model_type: str = None,
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extract_ema: bool = False,
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extract_ema: bool = False,
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precision: torch.dtype = None,
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precision: Optional[torch.dtype] = None,
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scheduler_type: str = "pndm",
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scheduler_type: str = "pndm",
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num_in_channels: Optional[int] = None,
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num_in_channels: Optional[int] = None,
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upcast_attention: Optional[bool] = None,
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upcast_attention: Optional[bool] = None,
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@ -1647,7 +1647,7 @@ def download_controlnet_from_original_ckpt(
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original_config_file: str,
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original_config_file: str,
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image_size: int = 512,
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image_size: int = 512,
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extract_ema: bool = False,
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extract_ema: bool = False,
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precision: torch.dtype = None,
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precision: Optional[torch.dtype] = None,
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num_in_channels: Optional[int] = None,
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num_in_channels: Optional[int] = None,
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upcast_attention: Optional[bool] = None,
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upcast_attention: Optional[bool] = None,
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device: str = None,
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device: str = None,
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