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from .ad_settings import AdjustPE, AdjustWeight, AdjustGroup, AnimateDiffSettings
from .utils_model import BIGMAX
class AnimateDiffSettingsNode:
@classmethod
def INPUT_TYPES(s):
return {
"optional": {
"pe_adjust": ("PE_ADJUST",),
"weight_adjust": ("WEIGHT_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("AD_SETTINGS",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings"
FUNCTION = "get_ad_settings"
def get_ad_settings(self, pe_adjust: AdjustGroup=None, weight_adjust: AdjustGroup=None):
return (AnimateDiffSettings(adjust_pe=pe_adjust, adjust_weight=weight_adjust),)
class ManualAdjustPENode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"cap_initial_pe_length": ("INT", {"default": 0, "min": 0, "step": 1}),
"interpolate_pe_to_length": ("INT", {"default": 0, "min": 0, "step": 1}),
"initial_pe_idx_offset": ("INT", {"default": 0, "min": 0, "step": 1}),
"final_pe_idx_offset": ("INT", {"default": 0, "min": 0, "step": 1}),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_pe_adjust": ("PE_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("PE_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/pe adjust"
FUNCTION = "get_pe_adjust"
def get_pe_adjust(self, cap_initial_pe_length: int, interpolate_pe_to_length: int,
initial_pe_idx_offset: int, final_pe_idx_offset: int, print_adjustment: bool,
prev_pe_adjust: AdjustGroup=None):
if prev_pe_adjust is None:
prev_pe_adjust = AdjustGroup()
prev_pe_adjust = prev_pe_adjust.clone()
adjust = AdjustPE(cap_initial_pe_length=cap_initial_pe_length, interpolate_pe_to_length=interpolate_pe_to_length,
initial_pe_idx_offset=initial_pe_idx_offset, final_pe_idx_offset=final_pe_idx_offset,
print_adjustment=print_adjustment)
prev_pe_adjust.add(adjust)
return (prev_pe_adjust,)
class SweetspotStretchPENode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"sweetspot": ("INT", {"default": 16, "min": 0, "max": BIGMAX},),
"new_sweetspot": ("INT", {"default": 16, "min": 0, "max": BIGMAX},),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_pe_adjust": ("PE_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("PE_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/pe adjust"
FUNCTION = "get_pe_adjust"
def get_pe_adjust(self, sweetspot: int, new_sweetspot: int, print_adjustment: bool, prev_pe_adjust: AdjustGroup=None):
if prev_pe_adjust is None:
prev_pe_adjust = AdjustGroup()
prev_pe_adjust = prev_pe_adjust.clone()
adjust = AdjustPE(cap_initial_pe_length=sweetspot, interpolate_pe_to_length=new_sweetspot,
print_adjustment=print_adjustment)
prev_pe_adjust.add(adjust)
return (prev_pe_adjust,)
class FullStretchPENode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pe_stretch": ("INT", {"default": 0, "min": 0, "max": BIGMAX},),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_pe_adjust": ("PE_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("PE_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/pe adjust"
FUNCTION = "get_pe_adjust"
def get_pe_adjust(self, pe_stretch: int, print_adjustment: bool, prev_pe_adjust: AdjustGroup=None):
if prev_pe_adjust is None:
prev_pe_adjust = AdjustGroup()
prev_pe_adjust = prev_pe_adjust.clone()
adjust = AdjustPE(motion_pe_stretch=pe_stretch,
print_adjustment=print_adjustment)
prev_pe_adjust.add(adjust)
return (prev_pe_adjust,)
class WeightAdjustAllAddNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"all_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_weight_adjust": ("WEIGHT_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("WEIGHT_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust"
FUNCTION = "get_weight_adjust"
def get_weight_adjust(self, all_ADD: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None):
if prev_weight_adjust is None:
prev_weight_adjust = AdjustGroup()
prev_weight_adjust = prev_weight_adjust.clone()
adjust = AdjustWeight(
all_ADD=all_ADD,
print_adjustment=print_adjustment
)
prev_weight_adjust.add(adjust)
return (prev_weight_adjust,)
class WeightAdjustAllMultNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"all_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_weight_adjust": ("WEIGHT_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("WEIGHT_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust"
FUNCTION = "get_weight_adjust"
def get_weight_adjust(self, all_MULT: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None):
if prev_weight_adjust is None:
prev_weight_adjust = AdjustGroup()
prev_weight_adjust = prev_weight_adjust.clone()
adjust = AdjustWeight(
all_MULT=all_MULT,
print_adjustment=print_adjustment
)
prev_weight_adjust.add(adjust)
return (prev_weight_adjust,)
class WeightAdjustIndivAddNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pe_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"attn_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"other_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_weight_adjust": ("WEIGHT_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("WEIGHT_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust"
FUNCTION = "get_weight_adjust"
def get_weight_adjust(self, pe_ADD: float, attn_ADD: float, other_ADD: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None):
if prev_weight_adjust is None:
prev_weight_adjust = AdjustGroup()
prev_weight_adjust = prev_weight_adjust.clone()
adjust = AdjustWeight(
pe_ADD=pe_ADD,
attn_ADD=attn_ADD,
other_ADD=other_ADD,
print_adjustment=print_adjustment
)
prev_weight_adjust.add(adjust)
return (prev_weight_adjust,)
class WeightAdjustIndivMultNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pe_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"attn_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"other_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_weight_adjust": ("WEIGHT_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("WEIGHT_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust"
FUNCTION = "get_weight_adjust"
def get_weight_adjust(self, pe_MULT: float, attn_MULT: float, other_MULT: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None):
if prev_weight_adjust is None:
prev_weight_adjust = AdjustGroup()
prev_weight_adjust = prev_weight_adjust.clone()
adjust = AdjustWeight(
pe_MULT=pe_MULT,
attn_MULT=attn_MULT,
other_MULT=other_MULT,
print_adjustment=print_adjustment
)
prev_weight_adjust.add(adjust)
return (prev_weight_adjust,)
class WeightAdjustIndivAttnAddNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pe_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"attn_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"attn_q_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"attn_k_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"attn_v_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"attn_out_weight_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"attn_out_bias_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"other_ADD": ("FLOAT", {"default": 0.0, "min": -2.0, "max": 2.0, "step": 0.000001}),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_weight_adjust": ("WEIGHT_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("WEIGHT_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust"
FUNCTION = "get_weight_adjust"
def get_weight_adjust(self, pe_ADD: float, attn_ADD: float,
attn_q_ADD: float, attn_k_ADD: float, attn_v_ADD: float,
attn_out_weight_ADD: float, attn_out_bias_ADD: float,
other_ADD: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None):
if prev_weight_adjust is None:
prev_weight_adjust = AdjustGroup()
prev_weight_adjust = prev_weight_adjust.clone()
adjust = AdjustWeight(
pe_ADD=pe_ADD,
attn_ADD=attn_ADD,
attn_q_ADD=attn_q_ADD,
attn_k_ADD=attn_k_ADD,
attn_v_ADD=attn_v_ADD,
attn_out_weight_ADD=attn_out_weight_ADD,
attn_out_bias_ADD=attn_out_bias_ADD,
other_ADD=other_ADD,
print_adjustment=print_adjustment
)
prev_weight_adjust.add(adjust)
return (prev_weight_adjust,)
class WeightAdjustIndivAttnMultNode:
@classmethod
def INPUT_TYPES(s):
return {
"required": {
"pe_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"attn_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"attn_q_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"attn_k_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"attn_v_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"attn_out_weight_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"attn_out_bias_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"other_MULT": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.000001}),
"print_adjustment": ("BOOLEAN", {"default": False}),
},
"optional": {
"prev_weight_adjust": ("WEIGHT_ADJUST",),
},
"hidden": {
"autosize": ("ADEAUTOSIZE", {"padding": 0}),
}
}
RETURN_TYPES = ("WEIGHT_ADJUST",)
CATEGORY = "Animate Diff πŸŽ­πŸ…πŸ…“/ad settings/weight adjust"
FUNCTION = "get_weight_adjust"
def get_weight_adjust(self, pe_MULT: float, attn_MULT: float,
attn_q_MULT: float, attn_k_MULT: float, attn_v_MULT: float,
attn_out_weight_MULT: float, attn_out_bias_MULT: float,
other_MULT: float, print_adjustment: bool, prev_weight_adjust: AdjustGroup=None):
if prev_weight_adjust is None:
prev_weight_adjust = AdjustGroup()
prev_weight_adjust = prev_weight_adjust.clone()
adjust = AdjustWeight(
pe_MULT=pe_MULT,
attn_MULT=attn_MULT,
attn_q_MULT=attn_q_MULT,
attn_k_MULT=attn_k_MULT,
attn_v_MULT=attn_v_MULT,
attn_out_weight_MULT=attn_out_weight_MULT,
attn_out_bias_MULT=attn_out_bias_MULT,
other_MULT=other_MULT,
print_adjustment=print_adjustment
)
prev_weight_adjust.add(adjust)
return (prev_weight_adjust,)