298977887/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-01-11 10:25:16 +00:00
Code Issues Packages Projects Releases Wiki Activity

nodes: add feathering to to ImagePadForOutpaint

Browse Source
This commit is contained in:
Guo Y.K 2023-03-24 22:39:33 +08:00
parent 3ebf7452c3
commit 4580f3e644
No known key found for this signature in database
GPG Key ID: 315A5D46A979A359
1 changed files with 26 additions and 5 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

31
nodes.py
View File

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