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@ -919,6 +919,7 @@ class ImagePadForOutpaint:
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"top": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 64}),
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"right": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 64}),
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"bottom": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 64}),
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"feathering": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 1}),
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}
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}
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@ -927,7 +928,7 @@ class ImagePadForOutpaint:
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CATEGORY = "image"
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def expand_image(self, image, left, top, right, bottom):
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def expand_image(self, image, left, top, right, bottom, feathering):
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d1, d2, d3, d4 = image.size()
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new_image = torch.zeros(
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@ -940,10 +941,30 @@ class ImagePadForOutpaint:
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(d2 + top + bottom, d3 + left + right),
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dtype=torch.float32,
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)
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mask[top:top + d2, left:left + d3] = torch.zeros(
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(d2, d3),
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dtype=torch.float32,
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)
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if feathering > 0 and feathering * 2 < d2 and feathering * 2 < d3:
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# distances to border
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mi, mj = torch.meshgrid(
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torch.arange(d2, dtype=torch.float32),
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torch.arange(d3, dtype=torch.float32),
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indexing='ij',
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)
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distances = torch.minimum(
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torch.minimum(mi, mj),
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torch.minimum(d2 - 1 - mi, d3 - 1 - mj),
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)
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# convert distances to square falloff from 1 to 0
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t = (feathering - distances) / feathering
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t.clamp_(min=0)
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t.square_()
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mask[top:top + d2, left:left + d3] = t
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else:
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mask[top:top + d2, left:left + d3] = torch.zeros(
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(d2, d3),
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dtype=torch.float32,
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)
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return (new_image, mask)
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