229 lines
9.5 KiB
Python
229 lines
9.5 KiB
Python
import sys
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import os
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import folder_paths
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), "comfy"))
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from comfy.sd import ControlBase
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from .control import load_controlnet, ControlNetWeightsType, T2IAdapterWeightsType
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class ScaledSoftControlNetWeights:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"base_multiplier": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"flip_weights": ([False, True], ),
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},
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}
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RETURN_TYPES = ("CONTROL_NET_WEIGHTS", )
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FUNCTION = "load_weights"
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CATEGORY = "controlnet weights"
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def load_weights(self, base_multiplier, flip_weights):
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weights = [(base_multiplier ** float(12 - i)) for i in range(13)]
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if flip_weights:
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weights.reverse()
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return (weights, )
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class SoftControlNetWeights:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"weight_00": ("FLOAT", {"default": 0.09941396206337118, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_01": ("FLOAT", {"default": 0.12050177219802567, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_02": ("FLOAT", {"default": 0.14606275417942507, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_03": ("FLOAT", {"default": 0.17704576264172736, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_04": ("FLOAT", {"default": 0.214600924414215, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_05": ("FLOAT", {"default": 0.26012233262329093, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_06": ("FLOAT", {"default": 0.3152997971191405, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_07": ("FLOAT", {"default": 0.3821815722656249, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_08": ("FLOAT", {"default": 0.4632503906249999, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_09": ("FLOAT", {"default": 0.561515625, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_10": ("FLOAT", {"default": 0.6806249999999999, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_11": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"flip_weights": ([False, True], ),
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},
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}
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RETURN_TYPES = ("CONTROL_NET_WEIGHTS", )
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FUNCTION = "load_weights"
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CATEGORY = "controlnet weights"
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def load_weights(self, weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
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weight_07, weight_08, weight_09, weight_10, weight_11, weight_12, flip_weights):
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weights = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
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weight_07, weight_08, weight_09, weight_10, weight_11, weight_12]
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if flip_weights:
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weights.reverse()
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return (weights,)
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class CustomControlNetWeights:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"weight_00": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_01": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_02": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_04": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_05": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_06": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_07": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_08": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_09": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_10": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_11": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"flip_weights": ([False, True], ),
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}
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}
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RETURN_TYPES = ("CONTROL_NET_WEIGHTS", )
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FUNCTION = "load_weights"
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CATEGORY = "controlnet weights"
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def load_weights(self, weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
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weight_07, weight_08, weight_09, weight_10, weight_11, weight_12, flip_weights):
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weights = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
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weight_07, weight_08, weight_09, weight_10, weight_11, weight_12]
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if flip_weights:
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weights.reverse()
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return (weights,)
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class SoftT2IAdapterWeights:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"weight_00": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_01": ("FLOAT", {"default": 0.62, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_02": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"flip_weights": ([False, True], ),
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},
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}
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RETURN_TYPES = ("T2I_ADAPTER_WEIGHTS", )
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FUNCTION = "load_weights"
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CATEGORY = "controlnet weights"
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def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights):
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weights = [weight_00, weight_01, weight_02, weight_03]
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if flip_weights:
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weights.reverse()
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return (weights,)
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class CustomT2IAdapterWeights:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"weight_00": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_01": ("FLOAT", {"default": 0.62, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_02": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.001}, ),
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"flip_weights": ([False, True], ),
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},
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}
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RETURN_TYPES = ("T2I_ADAPTER_WEIGHTS", )
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FUNCTION = "load_weights"
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CATEGORY = "controlnet weights"
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def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights):
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weights = [weight_00, weight_01, weight_02, weight_03]
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if flip_weights:
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weights.reverse()
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return (weights,)
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class ControlNetLoaderAdvanced:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"control_net_name": (folder_paths.get_filename_list("controlnet"), ),
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},
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"optional": {
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"control_net_weights": ("CONTROL_NET_WEIGHTS", ),
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"t2i_adapter_weights": ("T2I_ADAPTER_WEIGHTS", ),
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}
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}
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RETURN_TYPES = ("CONTROL_NET", )
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FUNCTION = "load_controlnet"
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CATEGORY = "loaders"
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def load_controlnet(self, control_net_name, control_net_weights: ControlNetWeightsType=None, t2i_adapter_weights: T2IAdapterWeightsType=None):
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controlnet_path = folder_paths.get_full_path("controlnet", control_net_name)
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controlnet = load_controlnet(controlnet_path, control_net_weights, t2i_adapter_weights)
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return (controlnet,)
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class DiffControlNetLoaderAdvanced:
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@classmethod
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def INPUT_TYPES(s):
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return {
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"required": {
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"model": ("MODEL",),
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"control_net_name": (folder_paths.get_filename_list("controlnet"), )
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},
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"optional": {
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"control_net_weights": ("CONTROL_NET_WEIGHTS", ),
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"t2i_adapter_weights": ("T2I_ADAPTER_WEIGHTS", ),
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}
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}
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RETURN_TYPES = ("CONTROL_NET", )
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FUNCTION = "load_controlnet"
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CATEGORY = "loaders"
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def load_controlnet(self, control_net_name, control_net_weights, t2i_adapter_weights, model):
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controlnet_path = folder_paths.get_full_path("controlnet", control_net_name)
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controlnet = load_controlnet(controlnet_path, control_net_weights, t2i_adapter_weights, model)
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return (controlnet,)
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# NODE MAPPING
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NODE_CLASS_MAPPINGS = {
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# Loaders
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"ControlNetLoaderAdvanced": ControlNetLoaderAdvanced,
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"DiffControlNetLoaderAdvanced": DiffControlNetLoaderAdvanced,
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# Weights
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"ScaledSoftControlNetWeights": ScaledSoftControlNetWeights,
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"SoftControlNetWeights": SoftControlNetWeights,
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"CustomControlNetWeights": CustomControlNetWeights,
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"SoftT2IAdapterWeights": SoftT2IAdapterWeights,
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"CustomT2IAdapterWeights": CustomT2IAdapterWeights,
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}
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NODE_DISPLAY_NAME_MAPPINGS = {
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# Loaders
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"ControlNetLoaderAdvanced": "Load ControlNet Model (Advanced)",
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"DiffControlNetLoaderAdvanced": "Load ControlNet Model (diff Advanced)",
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# Weights
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"ScaledSoftControlNetWeights": "Scaled Soft ControlNet Weights",
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"SoftControlNetWeights": "Soft ControlNet Weights",
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"CustomControlNetWeights": "Custom ControlNet Weights",
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"SoftT2IAdapterWeights": "Soft T2IAdapter Weights",
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"CustomT2IAdapterWeights": "Custom T2IAdapter Weights",
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}
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