sd-webui-controlnet (2024)

				`@ -1,3 +1,4 @@`
				`from dataclasses import dataclass`
				`from enum import Enum`
				`from copy import copy`
				`from typing import List, Any, Optional, Union, Tuple, Dict`
				`@ -142,43 +143,30 @@ InputImage = Union[np.ndarray, str]`
				`InputImage = Union[Dict[str, InputImage], Tuple[InputImage, InputImage], InputImage]`


				`@dataclass`
				`class ControlNetUnit:`
				`"""`
				`Represents an entire ControlNet processing unit.`
				`"""`

				`def __init__(`
				`self,`
				`enabled: bool = True,`
				`module: Optional[str] = None,`
				`model: Optional[str] = None,`
				`weight: float = 1.0,`
				`image: Optional[InputImage] = None,`
				`resize_mode: Union[ResizeMode, int, str] = ResizeMode.INNER_FIT,`
				`low_vram: bool = False,`
				`processor_res: int = -1,`
				`threshold_a: float = -1,`
				`threshold_b: float = -1,`
				`guidance_start: float = 0.0,`
				`guidance_end: float = 1.0,`
				`pixel_perfect: bool = False,`
				`control_mode: Union[ControlMode, int, str] = ControlMode.BALANCED,`
				`**_kwargs,`
				`):`
				`self.enabled = enabled`
				`self.module = module`
				`self.model = model`
				`self.weight = weight`
				`self.image = image`
				`self.resize_mode = resize_mode`
				`self.low_vram = low_vram`
				`self.processor_res = processor_res`
				`self.threshold_a = threshold_a`
				`self.threshold_b = threshold_b`
				`self.guidance_start = guidance_start`
				`self.guidance_end = guidance_end`
				`self.pixel_perfect = pixel_perfect`
				`self.control_mode = control_mode`
				`enabled: bool = True`
				`module: Optional[str] = None`
				`model: Optional[str] = None`
				`weight: float = 1.0`
				`image: Optional[InputImage] = None`
				`resize_mode: Union[ResizeMode, int, str] = ResizeMode.INNER_FIT`
				`low_vram: bool = False`
				`processor_res: int = -1`
				`threshold_a: float = -1`
				`threshold_b: float = -1`
				`guidance_start: float = 0.0`
				`guidance_end: float = 1.0`
				`pixel_perfect: bool = False`
				`control_mode: Union[ControlMode, int, str] = ControlMode.BALANCED`

				`# Whether save the detected map of this unit. Setting this option to False prevents saving the`
				`# detected map or sending detected map along with generated images via API.`
				`# Currently the option is only accessible in API calls.`
				`save_detected_map: bool = True`

				`def __eq__(self, other):`
				`if not isinstance(other, ControlNetUnit):`