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Sepia modes over different channels

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EllangoK
2023-05-06 19:12:29 -04:00
parent 34dfeb316c
commit 5fdd0593ae
3 changed files with 19 additions and 4 deletions
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.gitignore
+1
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@@ -1,2 +1,3 @@
wip/ wip/
.vscode/* .vscode/*
*.pyc
post_processing/sepia.py
+8 -1
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@@ -15,6 +15,7 @@ class Sepia:
"max": 1.0, "max": 1.0,
"step": 0.1 "step": 0.1
}), }),
"mode": (["sepia", "blue-pia", "green-pia"],),
}, },
} }
@@ -23,12 +24,18 @@ class Sepia:
CATEGORY = "postprocessing/Color Adjustments" CATEGORY = "postprocessing/Color Adjustments"
def sepia(self, image: torch.Tensor, strength: float): def sepia(self, image: torch.Tensor, strength: float, mode: str = "sepia"):
if strength == 0: if strength == 0:
return (image,) return (image,)
sepia_weights = torch.tensor([0.2989, 0.5870, 0.1140]).view(1, 1, 1, 3).to(image.device) sepia_weights = torch.tensor([0.2989, 0.5870, 0.1140]).view(1, 1, 1, 3).to(image.device)
if mode == "sepia":
sepia_filter = torch.tensor([1.0, 0.8, 0.6]).view(1, 1, 1, 3).to(image.device) sepia_filter = torch.tensor([1.0, 0.8, 0.6]).view(1, 1, 1, 3).to(image.device)
elif mode == "blue-pia":
sepia_filter = torch.tensor([0.6, 0.8, 1.0]).view(1, 1, 1, 3).to(image.device)
elif mode == "green-pia":
sepia_filter = torch.tensor([0.6, 1.0, 0.6]).view(1, 1, 1, 3).to(image.device)
grayscale = torch.sum(image * sepia_weights, dim=-1, keepdim=True) grayscale = torch.sum(image * sepia_weights, dim=-1, keepdim=True)
sepia = grayscale * sepia_filter sepia = grayscale * sepia_filter
post_processing_nodes.py
+8 -1
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@@ -999,6 +999,7 @@ class Sepia:
"max": 1.0, "max": 1.0,
"step": 0.1 "step": 0.1
}), }),
"mode": (["sepia", "blue-pia", "green-pia"],),
}, },
} }
@@ -1007,12 +1008,18 @@ class Sepia:
CATEGORY = "postprocessing/Color Adjustments" CATEGORY = "postprocessing/Color Adjustments"
def sepia(self, image: torch.Tensor, strength: float): def sepia(self, image: torch.Tensor, strength: float, mode: str = "sepia"):
if strength == 0: if strength == 0:
return (image,) return (image,)
sepia_weights = torch.tensor([0.2989, 0.5870, 0.1140]).view(1, 1, 1, 3).to(image.device) sepia_weights = torch.tensor([0.2989, 0.5870, 0.1140]).view(1, 1, 1, 3).to(image.device)
if mode == "sepia":
sepia_filter = torch.tensor([1.0, 0.8, 0.6]).view(1, 1, 1, 3).to(image.device) sepia_filter = torch.tensor([1.0, 0.8, 0.6]).view(1, 1, 1, 3).to(image.device)
elif mode == "blue-pia":
sepia_filter = torch.tensor([0.6, 0.8, 1.0]).view(1, 1, 1, 3).to(image.device)
elif mode == "green-pia":
sepia_filter = torch.tensor([0.6, 1.0, 0.6]).view(1, 1, 1, 3).to(image.device)
grayscale = torch.sum(image * sepia_weights, dim=-1, keepdim=True) grayscale = torch.sum(image * sepia_weights, dim=-1, keepdim=True)
sepia = grayscale * sepia_filter sepia = grayscale * sepia_filter