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Add padding modes to OffsetMask

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kijai 2023-11-20 02:04:30 +02:00
parent 3569b842df
commit b663935369
1 changed files with 32 additions and 19 deletions
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51
nodes.py
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@ -1931,6 +1931,7 @@ class ResizeMask:
return(outputs, outputs.shape[2], outputs.shape[1],)
from torch.nn.functional import pad
class OffsetMask:
@classmethod
def INPUT_TYPES(s):
@ -1943,6 +1944,15 @@ class OffsetMask:
"duplication_factor": ("INT", { "default": 1, "min": 1, "max": 1000, "step": 1, "display": "number" }),
"roll": ("BOOLEAN", { "default": False }),
"incremental": ("BOOLEAN", { "default": False }),
"padding_mode": (
[
'empty',
'border',
'reflection',
], {
"default": 'empty'
}),
}
}
@ -1951,7 +1961,7 @@ class OffsetMask:
FUNCTION = "offset"
CATEGORY = "KJNodes/masking"
def offset(self, mask, x, y, angle, roll=False, incremental=False, duplication_factor=1):
def offset(self, mask, x, y, angle, roll=False, incremental=False, duplication_factor=1, padding_mode="empty"):
# Create duplicates of the mask batch
mask = mask.repeat(duplication_factor, 1, 1)
@ -1987,25 +1997,28 @@ class OffsetMask:
temp_x = min(x * (i+1), width-1)
temp_y = min(y * (i+1), height-1)
if temp_x > 0:
mask[i] = torch.cat([torch.zeros((height, temp_x)), mask[i, :, :-temp_x]], dim=1)
elif temp_x < 0:
mask[i] = torch.cat([mask[i, :, -temp_x:], torch.zeros((height, -temp_x))], dim=1)
if temp_y > 0:
mask[i] = torch.cat([torch.zeros((temp_y, width)), mask[i, :-temp_y, :]], dim=0)
elif temp_y < 0:
mask[i] = torch.cat([mask[i, -temp_y:, :], torch.zeros((-temp_y, width))], dim=0)
else:
temp_x = min(x, width-1)
temp_y = min(y, height-1)
if temp_x > 0:
mask = torch.cat([torch.zeros((batch_size, height, temp_x)), mask[:, :, :-temp_x]], dim=2)
elif temp_x < 0:
mask = torch.cat([mask[:, :, -temp_x:], torch.zeros((batch_size, height, -temp_x))], dim=2)
if temp_y > 0:
mask = torch.cat([torch.zeros((batch_size, temp_y, width)), mask[:, :-temp_y, :]], dim=1)
elif temp_y < 0:
mask = torch.cat([mask[:, -temp_y:, :], torch.zeros((batch_size, -temp_y, width))], dim=1)
if padding_mode == 'empty':
mask[i] = torch.cat([torch.zeros((height, temp_x)), mask[i, :, :-temp_x]], dim=1)
elif padding_mode in ['replicate', 'reflect']:
mask[i] = pad(mask[i, :, :-temp_x], (0, temp_x), mode=padding_mode)
elif temp_x < 0:
if padding_mode == 'empty':
mask[i] = torch.cat([mask[i, :, -temp_x:], torch.zeros((height, -temp_x))], dim=1)
elif padding_mode in ['replicate', 'reflect']:
mask[i] = pad(mask[i, :, -temp_x:], (temp_x, 0), mode=padding_mode)
if temp_y > 0:
if padding_mode == 'empty':
mask[i] = torch.cat([torch.zeros((temp_y, width)), mask[i, :-temp_y, :]], dim=0)
elif padding_mode in ['replicate', 'reflect']:
mask[i] = pad(mask[i, :-temp_y, :], (0, temp_y), mode=padding_mode)
elif temp_y < 0:
if padding_mode == 'empty':
mask[i] = torch.cat([mask[i, -temp_y:, :], torch.zeros((-temp_y, width))], dim=0)
elif padding_mode in ['replicate', 'reflect']:
mask[i] = pad(mask[i, -temp_y:, :], (temp_y, 0), mode=padding_mode)
return mask,
class WidgetToString: