298977887/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2025-04-20 03:13:30 +00:00
Code Issues Packages Projects Releases Wiki Activity

Merge branch 'comfyanonymous:master' into master

Browse Source
This commit is contained in:
pythongosssss 2023-02-12 18:30:53 +00:00 committed by GitHub
commit f558942877
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 35 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
nodes.py
View File

@ -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()
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] 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:

16
webshit/index.html
View File

@ -3,6 +3,20 @@
<link rel="stylesheet" type="text/css" href="litegraph.css"> <link rel="stylesheet" type="text/css" href="litegraph.css">
<script type="text/javascript" src="litegraph.core.js"></script> <script type="text/javascript" src="litegraph.core.js"></script>
</head> </head>
<style>
.customtext_input {
background-color: #FFFFFF;
}
@media (prefers-color-scheme: dark) {
body {
background-color: #202020;
}
.customtext_input {
background-color: #202020;
color: white;
}
}
</style>
<body style='width:100%; height:100%; overflow: hidden;'> <body style='width:100%; height:100%; overflow: hidden;'>
<style> <style>
.modal { .modal {
@ -198,7 +212,7 @@ function onObjectInfo(json) {
}; };
w.input_div = document.createElement('div'); w.input_div = document.createElement('div');
w.input_div.contentEditable = true; w.input_div.contentEditable = true;
w.input_div.style.backgroundColor = "#FFFFFF"; w.input_div.className = "customtext_input";
w.input_div.style.overflow = 'hidden'; w.input_div.style.overflow = 'hidden';
w.input_div.style.overflowY = 'auto'; w.input_div.style.overflowY = 'auto';
w.input_div.style.padding = 2; w.input_div.style.padding = 2;