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Add a feather option to the latent composite node.

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comfyanonymous 2023-02-12 13:01:52 -05:00
parent f542f248f1
commit 05ad64d22c
1 changed files with 20 additions and 2 deletions
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22
nodes.py
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@ -301,17 +301,35 @@ class LatentComposite:
"samples_from": ("LATENT",), "samples_from": ("LATENT",),
"x": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 8}), "x": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 8}),
"y": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 8}), "y": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 8}),
"feather": ("INT", {"default": 0, "min": 0, "max": 4096, "step": 8}),
}} }}
RETURN_TYPES = ("LATENT",) RETURN_TYPES = ("LATENT",)
FUNCTION = "composite" FUNCTION = "composite"
CATEGORY = "latent" CATEGORY = "latent"
def composite(self, samples_to, samples_from, x, y, composite_method="normal"): def composite(self, samples_to, samples_from, x, y, composite_method="normal", feather=0):
x = x // 8 x = x // 8
y = y // 8 y = y // 8
feather = feather // 8
s = samples_to.clone() s = samples_to.clone()
s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x] if feather == 0:
s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x]
else:
s_from = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x]
mask = torch.ones_like(s_from)
for t in range(feather):
if y != 0:
mask[:,:,t:1+t,:] *= ((1.0/feather) * (t + 1))
if y + samples_from.shape[2] < samples_to.shape[2]:
mask[:,:,mask.shape[2] -1 -t: mask.shape[2]-t,:] *= ((1.0/feather) * (t + 1))
if x != 0:
mask[:,:,:,t:1+t] *= ((1.0/feather) * (t + 1))
if x + samples_from.shape[3] < samples_to.shape[3]:
mask[:,:,:,mask.shape[3]- 1 - t: mask.shape[3]- t] *= ((1.0/feather) * (t + 1))
rev_mask = torch.ones_like(mask) - mask
s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] = samples_from[:,:,:samples_to.shape[2] - y, :samples_to.shape[3] - x] * mask + s[:,:,y:y+samples_from.shape[2],x:x+samples_from.shape[3]] * rev_mask
return (s,) return (s,)
class LatentCrop: class LatentCrop: