Ewald
50d3ce5a98
- Implement corner pin controls for composition layers - Add functions to handle corner pin normalization and validation - Update composition layer serialization and deserialization to include corner pin data - Modify comp layer rect calculation to support corner pin - Add utility functions for link handling in the graph
307 lines
36 KiB
JSON
307 lines
36 KiB
JSON
{
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"id": "a759a9b0-6d94-4750-a159-1dbaad45b50c",
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"revision": 0,
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"last_node_id": 7,
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"last_link_id": 5,
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"nodes": [
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{
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"id": 4,
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"type": "ImageOpsDraw",
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"pos": [
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373.103459927456,
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-433.4322442276885
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],
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"size": [
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463.03703162509385,
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773.2286003706732
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],
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"flags": {},
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"order": 0,
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"mode": 0,
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"inputs": [
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{
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"label": "Images/Video",
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"name": "image",
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"shape": 7,
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"type": "IMAGE,VIDEO",
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"link": null
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}
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],
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"outputs": [
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{
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"name": "image",
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"type": "IMAGE",
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"links": null
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},
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{
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"name": "source_image",
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"type": "IMAGE",
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"links": null
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},
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{
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"name": "mask",
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"type": "MASK",
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"links": [
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2
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]
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}
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],
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"properties": {
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"cnr_id": "majoor-imageops",
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"ver": "e1abaf9366d86de4f88f794f12a88f69e66d5682",
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"Node name for S&R": "ImageOpsDraw"
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},
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"widgets_values": [
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"",
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false,
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1024,
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1024,
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"#000000",
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"brush",
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"hard",
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"#ffffff",
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1,
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108,
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true,
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true,
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false,
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"png",
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\"}",
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\\\"}\"}]}",
|
|
false
|
|
]
|
|
},
|
|
{
|
|
"id": 5,
|
|
"type": "LoadImage",
|
|
"pos": [
|
|
437.46740758627766,
|
|
-839.6867471572338
|
|
],
|
|
"size": [
|
|
282.798828125,
|
|
314
|
|
],
|
|
"flags": {},
|
|
"order": 1,
|
|
"mode": 0,
|
|
"inputs": [],
|
|
"outputs": [
|
|
{
|
|
"name": "IMAGE",
|
|
"type": "IMAGE",
|
|
"links": [
|
|
1
|
|
]
|
|
},
|
|
{
|
|
"name": "MASK",
|
|
"type": "MASK",
|
|
"links": null
|
|
}
|
|
],
|
|
"properties": {
|
|
"cnr_id": "comfy-core",
|
|
"ver": "0.18.1",
|
|
"Node name for S&R": "LoadImage"
|
|
},
|
|
"widgets_values": [
|
|
"00696bfa-46a5-4d50-bc79-a51db84bc00d.jpg",
|
|
"image"
|
|
]
|
|
},
|
|
{
|
|
"id": 6,
|
|
"type": "ImageOpsPreview",
|
|
"pos": [
|
|
1426.709488761564,
|
|
-849.5517450984958
|
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