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Add a ConditioningSetAreaPercentage node.

pull/1438/head
comfyanonymous 1 year ago
parent
commit
f88f7f413a
  1. 15
      comfy/samplers.py
  2. 27
      nodes.py

15
comfy/samplers.py

@ -390,11 +390,20 @@ def get_mask_aabb(masks):
return bounding_boxes, is_empty
def resolve_cond_masks(conditions, h, w, device):
def resolve_areas_and_cond_masks(conditions, h, w, device):
# We need to decide on an area outside the sampling loop in order to properly generate opposite areas of equal sizes.
# While we're doing this, we can also resolve the mask device and scaling for performance reasons
for i in range(len(conditions)):
c = conditions[i]
if 'area' in c[1]:
area = c[1]['area']
if area[0] == "percentage":
modified = c[1].copy()
area = (max(1, round(area[1] * h)), max(1, round(area[2] * w)), round(area[3] * h), round(area[4] * w))
modified['area'] = area
c = [c[0], modified]
conditions[i] = c
if 'mask' in c[1]:
mask = c[1]['mask']
mask = mask.to(device=device)
@ -622,8 +631,8 @@ class KSampler:
positive = positive[:]
negative = negative[:]
resolve_cond_masks(positive, noise.shape[2], noise.shape[3], self.device)
resolve_cond_masks(negative, noise.shape[2], noise.shape[3], self.device)
resolve_areas_and_cond_masks(positive, noise.shape[2], noise.shape[3], self.device)
resolve_areas_and_cond_masks(negative, noise.shape[2], noise.shape[3], self.device)
calculate_start_end_timesteps(self.model_wrap, negative)
calculate_start_end_timesteps(self.model_wrap, positive)

27
nodes.py

@ -159,6 +159,31 @@ class ConditioningSetArea:
c.append(n)
return (c, )
class ConditioningSetAreaPercentage:
@classmethod
def INPUT_TYPES(s):
return {"required": {"conditioning": ("CONDITIONING", ),
"width": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}),
"height": ("FLOAT", {"default": 1.0, "min": 0, "max": 1.0, "step": 0.01}),
"x": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}),
"y": ("FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}),
"strength": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}),
}}
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "conditioning"
def append(self, conditioning, width, height, x, y, strength):
c = []
for t in conditioning:
n = [t[0], t[1].copy()]
n[1]['area'] = ("percentage", height, width, y, x)
n[1]['strength'] = strength
n[1]['set_area_to_bounds'] = False
c.append(n)
return (c, )
class ConditioningSetMask:
@classmethod
def INPUT_TYPES(s):
@ -1583,6 +1608,7 @@ NODE_CLASS_MAPPINGS = {
"ConditioningCombine": ConditioningCombine,
"ConditioningConcat": ConditioningConcat,
"ConditioningSetArea": ConditioningSetArea,
"ConditioningSetAreaPercentage": ConditioningSetAreaPercentage,
"ConditioningSetMask": ConditioningSetMask,
"KSamplerAdvanced": KSamplerAdvanced,
"SetLatentNoiseMask": SetLatentNoiseMask,
@ -1644,6 +1670,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"ConditioningAverage ": "Conditioning (Average)",
"ConditioningConcat": "Conditioning (Concat)",
"ConditioningSetArea": "Conditioning (Set Area)",
"ConditioningSetAreaPercentage": "Conditioning (Set Area with Percentage)",
"ConditioningSetMask": "Conditioning (Set Mask)",
"ControlNetApply": "Apply ControlNet",
"ControlNetApplyAdvanced": "Apply ControlNet (Advanced)",

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