158 lines
7.8 KiB
Python
158 lines
7.8 KiB
Python
from .control import TimestepKeyframe, TimestepKeyframeGroup
|
|
from .logger import logger
|
|
|
|
|
|
def get_properly_arranged_t2i_weights(initial_weights: list[float]):
|
|
new_weights = []
|
|
new_weights.extend([initial_weights[0]]*3)
|
|
new_weights.extend([initial_weights[1]]*3)
|
|
new_weights.extend([initial_weights[2]]*3)
|
|
new_weights.extend([initial_weights[3]]*3)
|
|
return new_weights
|
|
|
|
|
|
class ScaledSoftControlNetWeights:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"base_multiplier": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"flip_weights": ([False, True], ),
|
|
},
|
|
}
|
|
|
|
RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
|
|
FUNCTION = "load_weights"
|
|
|
|
CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
|
|
|
|
def load_weights(self, base_multiplier, flip_weights):
|
|
weights = [(base_multiplier ** float(12 - i)) for i in range(13)]
|
|
if flip_weights:
|
|
weights.reverse()
|
|
return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_net_weights=weights)))
|
|
|
|
|
|
class SoftControlNetWeights:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"weight_00": ("FLOAT", {"default": 0.09941396206337118, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_01": ("FLOAT", {"default": 0.12050177219802567, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_02": ("FLOAT", {"default": 0.14606275417942507, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_03": ("FLOAT", {"default": 0.17704576264172736, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_04": ("FLOAT", {"default": 0.214600924414215, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_05": ("FLOAT", {"default": 0.26012233262329093, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_06": ("FLOAT", {"default": 0.3152997971191405, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_07": ("FLOAT", {"default": 0.3821815722656249, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_08": ("FLOAT", {"default": 0.4632503906249999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_09": ("FLOAT", {"default": 0.561515625, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_10": ("FLOAT", {"default": 0.6806249999999999, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_11": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"flip_weights": ([False, True], ),
|
|
},
|
|
}
|
|
|
|
RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
|
|
FUNCTION = "load_weights"
|
|
|
|
CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
|
|
|
|
def load_weights(self, weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
|
|
weight_07, weight_08, weight_09, weight_10, weight_11, weight_12, flip_weights):
|
|
weights = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
|
|
weight_07, weight_08, weight_09, weight_10, weight_11, weight_12]
|
|
if flip_weights:
|
|
weights.reverse()
|
|
return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_net_weights=weights)))
|
|
|
|
|
|
class CustomControlNetWeights:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"weight_00": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_01": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_02": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_04": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_05": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_06": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_07": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_08": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_09": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_10": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_11": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_12": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"flip_weights": ([False, True], ),
|
|
}
|
|
}
|
|
|
|
RETURN_TYPES = ("CONTROL_NET_WEIGHTS", "TIMESTEP_KEYFRAME",)
|
|
FUNCTION = "load_weights"
|
|
|
|
CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
|
|
|
|
def load_weights(self, weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
|
|
weight_07, weight_08, weight_09, weight_10, weight_11, weight_12, flip_weights):
|
|
weights = [weight_00, weight_01, weight_02, weight_03, weight_04, weight_05, weight_06,
|
|
weight_07, weight_08, weight_09, weight_10, weight_11, weight_12]
|
|
if flip_weights:
|
|
weights.reverse()
|
|
return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(control_net_weights=weights)))
|
|
|
|
|
|
class SoftT2IAdapterWeights:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"weight_00": ("FLOAT", {"default": 0.25, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_01": ("FLOAT", {"default": 0.62, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_02": ("FLOAT", {"default": 0.825, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"flip_weights": ([False, True], ),
|
|
},
|
|
}
|
|
|
|
RETURN_TYPES = ("T2I_ADAPTER_WEIGHTS", "TIMESTEP_KEYFRAME",)
|
|
FUNCTION = "load_weights"
|
|
|
|
CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
|
|
|
|
def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights):
|
|
weights = [weight_00, weight_01, weight_02, weight_03]
|
|
if flip_weights:
|
|
weights.reverse()
|
|
weights = get_properly_arranged_t2i_weights(weights)
|
|
return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(t2i_adapter_weights=weights)))
|
|
|
|
|
|
class CustomT2IAdapterWeights:
|
|
@classmethod
|
|
def INPUT_TYPES(s):
|
|
return {
|
|
"required": {
|
|
"weight_00": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_01": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_02": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"weight_03": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}, ),
|
|
"flip_weights": ([False, True], ),
|
|
},
|
|
}
|
|
|
|
RETURN_TYPES = ("T2I_ADAPTER_WEIGHTS", "TIMESTEP_KEYFRAME",)
|
|
FUNCTION = "load_weights"
|
|
|
|
CATEGORY = "Adv-ControlNet 🛂🅐🅒🅝/weights"
|
|
|
|
def load_weights(self, weight_00, weight_01, weight_02, weight_03, flip_weights):
|
|
weights = [weight_00, weight_01, weight_02, weight_03]
|
|
if flip_weights:
|
|
weights.reverse()
|
|
weights = get_properly_arranged_t2i_weights(weights)
|
|
return (weights, TimestepKeyframeGroup.default(TimestepKeyframe(t2i_adapter_weights=weights)))
|