Update nodes.py

This commit is contained in:
kijai 2023-10-11 01:31:23 +03:00
parent 4e9cc0b8a2
commit 7595958f5a

142
nodes.py
View File

@ -474,7 +474,15 @@ class ConditioningMultiCombine:
new_cond = kwargs[f"conditioning_{c + 1}"]
cond = cond_combine_node.combine(new_cond, cond)[0]
return (cond, inputcount,)
def append_helper(t, mask, c, set_area_to_bounds, strength):
n = [t[0], t[1].copy()]
_, h, w = mask.shape
n[1]['mask'] = mask
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
class ConditioningSetMaskAndCombine:
@classmethod
def INPUT_TYPES(cls):
@ -507,33 +515,13 @@ class ConditioningSetMaskAndCombine:
if len(mask_2.shape) < 3:
mask_2 = mask_2.unsqueeze(0)
for t in positive_1:
n = [t[0], t[1].copy()]
_, h, w = mask_1.shape
n[1]['mask'] = mask_1
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_1, c, set_area_to_bounds, strength)
for t in positive_2:
n = [t[0], t[1].copy()]
_, h, w = mask_2.shape
n[1]['mask'] = mask_2
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_2, c, set_area_to_bounds, strength)
for t in negative_1:
n = [t[0], t[1].copy()]
_, h, w = mask_1.shape
n[1]['mask'] = mask_1
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
append_helper(t, mask_1, c2, set_area_to_bounds, strength)
for t in negative_2:
n = [t[0], t[1].copy()]
_, h, w = mask_2.shape
n[1]['mask'] = mask_2
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
append_helper(t, mask_2, c2, set_area_to_bounds, strength)
return (c, c2)
class ConditioningSetMaskAndCombine3:
@ -573,48 +561,18 @@ class ConditioningSetMaskAndCombine3:
if len(mask_3.shape) < 3:
mask_3 = mask_3.unsqueeze(0)
for t in positive_1:
n = [t[0], t[1].copy()]
_, h, w = mask_1.shape
n[1]['mask'] = mask_1
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_1, c, set_area_to_bounds, strength)
for t in positive_2:
n = [t[0], t[1].copy()]
_, h, w = mask_2.shape
n[1]['mask'] = mask_2
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_2, c, set_area_to_bounds, strength)
for t in positive_3:
n = [t[0], t[1].copy()]
_, h, w = mask_3.shape
n[1]['mask'] = mask_3
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_3, c, set_area_to_bounds, strength)
for t in negative_1:
n = [t[0], t[1].copy()]
_, h, w = mask_1.shape
n[1]['mask'] = mask_1
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
append_helper(t, mask_1, c2, set_area_to_bounds, strength)
for t in negative_2:
n = [t[0], t[1].copy()]
_, h, w = mask_2.shape
n[1]['mask'] = mask_2
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
append_helper(t, mask_2, c2, set_area_to_bounds, strength)
for t in negative_3:
n = [t[0], t[1].copy()]
_, h, w = mask_3.shape
n[1]['mask'] = mask_3
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
return (c, c2)
append_helper(t, mask_3, c2, set_area_to_bounds, strength)
return (c, c2)
class ConditioningSetMaskAndCombine4:
@classmethod
@ -643,7 +601,7 @@ class ConditioningSetMaskAndCombine4:
FUNCTION = "append"
CATEGORY = "KJNodes"
def append(self, positive_1, negative_1, positive_2, positive_3, positive_4, negative_2, negative_3, negative_4,mask_1, mask_2, mask_3, mask_4, set_cond_area, strength):
def append(self, positive_1, negative_1, positive_2, positive_3, positive_4, negative_2, negative_3, negative_4, mask_1, mask_2, mask_3, mask_4, set_cond_area, strength):
c = []
c2 = []
set_area_to_bounds = False
@ -658,62 +616,22 @@ class ConditioningSetMaskAndCombine4:
if len(mask_4.shape) < 3:
mask_4 = mask_4.unsqueeze(0)
for t in positive_1:
n = [t[0], t[1].copy()]
_, h, w = mask_1.shape
n[1]['mask'] = mask_1
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_1, c, set_area_to_bounds, strength)
for t in positive_2:
n = [t[0], t[1].copy()]
_, h, w = mask_2.shape
n[1]['mask'] = mask_2
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_2, c, set_area_to_bounds, strength)
for t in positive_3:
n = [t[0], t[1].copy()]
_, h, w = mask_3.shape
n[1]['mask'] = mask_3
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_3, c, set_area_to_bounds, strength)
for t in positive_4:
n = [t[0], t[1].copy()]
_, h, w = mask_3.shape
n[1]['mask'] = mask_3
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c.append(n)
append_helper(t, mask_4, c, set_area_to_bounds, strength)
for t in negative_1:
n = [t[0], t[1].copy()]
_, h, w = mask_1.shape
n[1]['mask'] = mask_1
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
append_helper(t, mask_1, c2, set_area_to_bounds, strength)
for t in negative_2:
n = [t[0], t[1].copy()]
_, h, w = mask_2.shape
n[1]['mask'] = mask_2
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
append_helper(t, mask_2, c2, set_area_to_bounds, strength)
for t in negative_3:
n = [t[0], t[1].copy()]
_, h, w = mask_3.shape
n[1]['mask'] = mask_3
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
append_helper(t, mask_3, c2, set_area_to_bounds, strength)
for t in negative_4:
n = [t[0], t[1].copy()]
_, h, w = mask_3.shape
n[1]['mask'] = mask_3
n[1]['set_area_to_bounds'] = set_area_to_bounds
n[1]['mask_strength'] = strength
c2.append(n)
return (c, c2)
append_helper(t, mask_4, c2, set_area_to_bounds, strength)
return (c, c2)
NODE_CLASS_MAPPINGS = {
"INTConstant": INTConstant,