Make clip optional

To work with HDR
This commit is contained in:
City
2024-04-03 22:58:09 +02:00
parent c94dbe597a
commit bb2e224fd2
+9 -6
View File
@@ -57,6 +57,7 @@ class ColorModMove:
"required": {
"image": ("IMAGE",),
"move": ("FLOAT", {"default": 0.0, "min": -1.000, "max": 1.000, "step": 0.01}),
"clip": ([True, False], {"default": True}),
}
}
@@ -65,11 +66,11 @@ class ColorModMove:
CATEGORY = "ColorMod"
TITLE = "ColorMod (move)"
def mod_move(self, image, move):
def mod_move(self, image, move, clip=True):
image = image.clone()
move_map = torch.ones(image.shape) * move
out = torch.clip((image + move_map), -4.0, 4.0)
out = torch.clip((image + move_map), 0.0, 1.0) if clip else (image + move_map)
return (out,)
class ColorModPivot:
@@ -83,6 +84,7 @@ class ColorModPivot:
"image": ("IMAGE",),
"pivot": ("FLOAT", {"default": 0.5, "min": 0.001, "max": 0.999, "step": 0.01}),
"move": ("FLOAT", {"default": 0.0, "min": -2.000, "max": 2.000, "step": 0.01}),
"clip": ([True, False], {"default": True}),
}
}
@@ -91,7 +93,7 @@ class ColorModPivot:
CATEGORY = "ColorMod"
TITLE = "ColorMod (move pivot)"
def mod_pivot(self, image, pivot, move):
def mod_pivot(self, image, pivot, move, clip=True):
image = image.clone()
pivot_map = torch.ones(image.shape) * pivot
@@ -100,7 +102,7 @@ class ColorModPivot:
image_high = image_high * (1/(1-pivot)) * (1-(pivot + move))
image_low = image_low * (1/pivot) * (pivot + move)
out = torch.clip((image_high + image_low), 0.0, 1.0)
out = torch.clip((image_high + image_low), 0.0, 1.0) if clip else (image_high + image_low)
return (out,)
class ColorModEdges:
@@ -115,6 +117,7 @@ class ColorModEdges:
"low": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.01}),
"pivot": ("FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}),
"high": ("FLOAT", {"default": 1.0, "min": 0.0, "max": 2.0, "step": 0.01}),
"clip": ([True, False], {"default": True})
}
}
@@ -123,7 +126,7 @@ class ColorModEdges:
CATEGORY = "ColorMod"
TITLE = "ColorMod (edges)"
def mod_edges(self, image, low, pivot, high):
def mod_edges(self, image, low, pivot, high, clip=True):
image = image.clone()
pivot_map = torch.ones(image.shape) * pivot
@@ -132,7 +135,7 @@ class ColorModEdges:
image_low = image_low * low + pivot * (1-low)
image_high = image_high * high
out = torch.clip((image_high + image_low), 0.0, 1.0)
out = torch.clip((image_high + image_low), 0.0, 1.0) if clip else (image_high + image_low)
return (out,)
NODE_CLASS_MAPPINGS = {