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0.6,
0.9,
1,
1.2,
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false,
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"properties": {
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"link": 545,
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{
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"localized_name": "audio",
"name": "audio",
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"type": "AUDIO"
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{
"link": 552,
"localized_name": "fps",
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"type": "FLOAT",
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"mode": 0,
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"outputs": [
{
"links": [
482
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"localized_name": "VIDEO",
"name": "VIDEO",
"type": "VIDEO"
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1450
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{
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"id": 338,
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"localized_name": "video",
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{
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{
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{
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"widget": {
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100,
1250
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"inputs": [
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"link": 550,
"localized_name": "images",
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{
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"widget": {
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{
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{
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574
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"localized_name": "IMAGE",
"name": "IMAGE",
"type": "IMAGE"
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{
"links": null,
"localized_name": "count",
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1220
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"id": 347,
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"link": 530,
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{
"link": null,
"localized_name": "resize_type",
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{
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{
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"widget": {
"name": "scale_method"
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}
],
"mode": 0,
"order": 16,
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{
"links": [
502
],
"localized_name": "resized",
"name": "resized",
"type": "IMAGE"
}
],
"pos": [
-200,
1250
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"properties": {
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225,
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},
{
"flags": {
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"id": 375,
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{
"link": 516,
"localized_name": "images",
"name": "images",
"type": "IMAGE"
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],
"mode": 4,
"order": 21,
"outputs": [
{
"links": [
517
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"localized_name": "IMAGE",
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"type": "IMAGE"
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2070
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{
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"id": 376,
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{
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546
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"localized_name": "IMAGE",
"name": "IMAGE",
"type": "IMAGE"
},
{
"links": null,
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"id": 378,
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{
"link": null,
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{
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"mode": 4,
"order": 27,
"outputs": [
{
"links": [
520
],
"localized_name": "VIDEO",
"name": "VIDEO",
"type": "VIDEO"
}
],
"pos": [
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2220
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{
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{
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516
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"type": "IMAGE"
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],
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"id": 401,
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{
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{
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},
{
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"widget": {
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},
{
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{
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{
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{
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{
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"link": 529,
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{
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"link": null,
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"**METHOD 1 - IMAGE BASED**\n
Use a style reference image and directly input it into GPT Image. The output is more faithful to the style transfer.\n\n**METHOD 2 - VLM BASED**\n
Use a vision language model to describe the style of the reference image and purely prompt the style transfer. The output is more closely aligned to the input video's outline and composition.\n\n
Experiment with each method, and pick one based on the aesthetic preference and how closely the style reference is matched"
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