Optimisation de la gestion des Pull Requests avec Pipedrive
Ce workflow permet d'automatiser le suivi des Pull Requests GitHub en les intégrant directement dans Pipedrive. Lorsqu'...
Ce workflow n8n transforme l'expérience d'achat en ligne en permettant aux plateformes e-commerce, marques de mode et créateurs de contenu de générer rapidement des vidéos réalistes d'essayage virtuel. Grâce à l'intégration avec l'API Kling, les utilisateurs peuvent créer des vidéos immersives présentant un modèle portant une tenue avec une rotation à 360°. Cette solution innovante améliore l'engagement client et facilite la visualisation du produit, offrant ainsi une expérience d'achat enrichie et personnalisée.
Ce workflow n8n transforme l'expérience d'achat en ligne en permettant aux plateformes e-commerce, marques de mode et créateurs de contenu de générer rapidement des vidéos réalistes d'essayage virtuel. Grâce à l'intégration avec l'API Kling, les utilisateurs peuvent créer des vidéos immersives présentant un modèle portant une tenue avec une rotation à 360°. Cette solution innovante améliore l'engagement client et facilite la visualisation du produit, offrant ainsi une expérience d'achat enrichie et personnalisée.
| Node | Type | Description |
|---|---|---|
| When clicking ‘Test workflow’ | manualTrigger | Traitement des données |
| Kling Virtual Try-On Task | httpRequest | Requête HTTP vers une API externe |
| Switch | switch | Traitement des données |
| Get Kling Video Task | httpRequest | Requête HTTP vers une API externe |
| Generate kling video | httpRequest | Requête HTTP vers une API externe |
| Preset Parameters | set | Traitement des données |
| Get Kling Virtual Try-On Task | httpRequest | Requête HTTP vers une API externe |
| Check Data Status | if | Condition logique pour router le flux |
| Wait for Image Generation | wait | Traitement des données |
| Wait for Video Generation | wait | Traitement des données |
| Check Video Data Status | switch | Traitement des données |
| Get Video Data Status | if | Condition logique pour router le flux |
| Get Final Video URL | set | Traitement des données |
| Sticky Note | stickyNote | Traitement des données |
| Sticky Note1 | stickyNote | Traitement des données |
| Sticky Note2 | stickyNote | Traitement des données |
{
"id": "xQ0xqhNzFeEdBpFK",
"meta": {
"instanceId": "1e003a7ea4715b6b35e9947791386a7d07edf3b5bf8d4c9b7ee4fdcbec0447d7"
},
"name": "Generate 360° Virtual Try-on Videos for Clothing with Kling API",
"tags": [],
"nodes": [
{
"id": "978b4ac4-0357-4d2b-8a02-7da04e6f3f1f",
"name": "When clicking ‘Test workflow’",
"type": "n8n-nodes-base.manualTrigger",
"position": [
160,
140
],
"parameters": [],
"typeVersion": 1
},
{
"id": "54d1c23f-3a13-4ec0-9b3b-3806e5faae18",
"name": "Kling Virtual Try-On Task",
"type": "n8n-nodes-base.httpRequest",
"position": [
620,
140
],
"parameters": {
"url": "https:\/\/api.piapi.ai\/api\/v1\/task",
"method": "POST",
"options": [],
"jsonBody": "={\n \"model\": \"kling\",\n \"task_type\": \"ai_try_on\",\n \"input\": {\n \"model_input\": \"{{ $json.model_input }}\",\n \"dress_input\": \"{{ $json.dress_input }}\",\n \"upper_input\": \"{{ $json.upper_input }}\",\n \"lower_input\": \"{{ $json.lower_input }}\",\n \"batch_size\": 1\n }\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "5be9d932-c102-4a7e-b995-09c6bf17026c",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
960,
200
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5f61ee56-4ebe-411f-95e6-b47d9741e7a2",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.data.status }}",
"rightValue": "completed"
}
]
}
}
]
},
"options": []
},
"typeVersion": 3.2
},
{
"id": "cdda4f40-1580-4a5a-a7f4-f1e4fbf7ceb4",
"name": "Get Kling Video Task",
"type": "n8n-nodes-base.httpRequest",
"position": [
1180,
440
],
"parameters": {
"url": "=https:\/\/api.piapi.ai\/api\/v1\/task\/{{ $json.data.task_id }}",
"options": [],
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Preset Parameters').item.json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "3e794d14-b55f-4936-90af-8237977d6635",
"name": "Generate kling video",
"type": "n8n-nodes-base.httpRequest",
"position": [
1140,
200
],
"parameters": {
"url": "https:\/\/api.piapi.ai\/api\/v1\/task",
"method": "POST",
"options": [],
"jsonBody": "={\n \"model\": \"kling\",\n \"task_type\": \"video_generation\",\n \"input\": {\n \"version\": \"1.6\",\n \"image_url\": \"{{ $json.data.output.works[0].image.resource }}\",\n \"prompt\": \"{{ $('Preset Parameters').item.json.generate_video_prompt }}\"\n }\n} ",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Preset Parameters').item.json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "3ae849b2-4bd4-454f-a759-e44a9736100d",
"name": "Preset Parameters",
"type": "n8n-nodes-base.set",
"position": [
380,
140
],
"parameters": {
"mode": "raw",
"options": [],
"jsonOutput": "{\n \"x-api-key\":\"\",\n \"model_input\": \"\",\n \"dress_input\": \"\",\n \"upper_input\":\"\",\n \"lower_input\":\"\",\n \"generate_video_prompt\": \"Walk on the catwalk, turn around, and finally stand still and pose\"\n}\n"
},
"typeVersion": 3.4
},
{
"id": "18c606e3-82e2-4c09-a87e-6bbc71363c1c",
"name": "Get Kling Virtual Try-On Task",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
460
],
"parameters": {
"url": "=https:\/\/api.piapi.ai\/api\/v1\/task\/{{ $json.data.task_id }}",
"options": [],
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Preset Parameters').item.json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "becf3d7b-d468-4b4a-b22f-d6d747e52664",
"name": "Check Data Status",
"type": "n8n-nodes-base.if",
"position": [
640,
460
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "e97a02cc-8d1d-4500-bce5-0a296c792b76",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.data.status }}",
"rightValue": "completed"
},
{
"id": "50b63a7a-52b5-4766-a859-96ac1ff949ec",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.data.status }}",
"rightValue": "failed"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "d8ec251d-d47c-4341-909d-abdea385c1f9",
"name": "Wait for Image Generation",
"type": "n8n-nodes-base.wait",
"position": [
160,
460
],
"webhookId": "af79053d-1291-4dd2-889e-4593dbbb2512",
"parameters": [],
"typeVersion": 1.1
},
{
"id": "88e3067f-0b1f-472a-937b-926c6d208453",
"name": "Wait for Video Generation",
"type": "n8n-nodes-base.wait",
"position": [
920,
440
],
"webhookId": "af79053d-1291-4dd2-889e-4593dbbb2512",
"parameters": [],
"typeVersion": 1.1
},
{
"id": "36d75678-918f-42c5-97a7-7a13d1eacbd4",
"name": "Check Video Data Status",
"type": "n8n-nodes-base.switch",
"position": [
1560,
180
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "5f61ee56-4ebe-411f-95e6-b47d9741e7a2",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.data.status }}",
"rightValue": "completed"
}
]
}
}
]
},
"options": []
},
"typeVersion": 3.2
},
{
"id": "7356d963-83c0-47a1-a728-9191f66d2f57",
"name": "Get Video Data Status",
"type": "n8n-nodes-base.if",
"position": [
1400,
440
],
"parameters": {
"options": [],
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "e97a02cc-8d1d-4500-bce5-0a296c792b76",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.data.status }}",
"rightValue": "completed"
},
{
"id": "50b63a7a-52b5-4766-a859-96ac1ff949ec",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.data.status }}",
"rightValue": "failed"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "9ef52637-ccc9-4817-8c14-5c54fa0af178",
"name": "Get Final Video URL",
"type": "n8n-nodes-base.set",
"position": [
1760,
180
],
"parameters": {
"mode": "raw",
"options": [],
"jsonOutput": "={\n \"video_url\": \"{{ $json.data.output.video_url }}\"\n}\n "
},
"typeVersion": 3.4
},
{
"id": "9a0194bd-59a5-45b1-a6e2-db0605eb4d7a",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
140,
-120
],
"parameters": {
"width": 460,
"height": 220,
"content": "## Generate 360° Virtual Try-on Videos for Clothing with Kling API (unofficial)\nThis tool is designed for e-commerce platforms, fashion brands, content creators, and content influencers. By uploading model and clothing images and linking your PiAPI account, you can swiftly generate a realistic video of the model sporting the outfit with a 360° turn, offering an immersive viewing experience."
},
"typeVersion": 1
},
{
"id": "629697ae-cd49-4e8e-953d-a2f091ed9202",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
120,
700
],
"parameters": {
"width": 340,
"height": 200,
"content": "## Generate Virtual Try-on Image\nUpload model url, users have two solutions to upload clothing url: \n1. Upload `dress_input`\n2. Upload 'upper_input` and 'lower_input`"
},
"typeVersion": 1
},
{
"id": "710bd0f0-8b5a-469a-8b31-b6f738dc7f79",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1640,
460
],
"parameters": {
"width": 340,
"content": "## Generate Final Video \nWait for generation and get the output url in the final node."
},
"typeVersion": 1
}
],
"active": false,
"pinData": [],
"settings": {
"executionOrder": "v1"
},
"versionId": "97ee31dd-b8be-4b37-bbed-363ac35d5268",
"connections": {
"Switch": {
"main": [
[
{
"node": "Generate kling video",
"type": "main",
"index": 0
}
]
]
},
"Check Data Status": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for Image Generation",
"type": "main",
"index": 0
}
]
]
},
"Preset Parameters": {
"main": [
[
{
"node": "Kling Virtual Try-On Task",
"type": "main",
"index": 0
}
]
]
},
"Generate kling video": {
"main": [
[
{
"node": "Wait for Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Get Kling Video Task": {
"main": [
[
{
"node": "Get Video Data Status",
"type": "main",
"index": 0
}
]
]
},
"Get Video Data Status": {
"main": [
[
{
"node": "Check Video Data Status",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Check Video Data Status": {
"main": [
[
{
"node": "Get Final Video URL",
"type": "main",
"index": 0
}
]
]
},
"Kling Virtual Try-On Task": {
"main": [
[
{
"node": "Wait for Image Generation",
"type": "main",
"index": 0
}
]
]
},
"Wait for Image Generation": {
"main": [
[
{
"node": "Get Kling Virtual Try-On Task",
"type": "main",
"index": 0
}
]
]
},
"Wait for Video Generation": {
"main": [
[
{
"node": "Get Kling Video Task",
"type": "main",
"index": 0
}
]
]
},
"Get Kling Virtual Try-On Task": {
"main": [
[
{
"node": "Check Data Status",
"type": "main",
"index": 0
}
]
]
},
"When clicking ‘Test workflow’": {
"main": [
[
{
"node": "Preset Parameters",
"type": "main",
"index": 0
}
]
]
}
}
}
Ce workflow permet d'automatiser le suivi des Pull Requests GitHub en les intégrant directement dans Pipedrive. Lorsqu'...
Ce workflow puissant automatise la synchronisation des événements programmés sur Discord avec Google Calendar, garant...
Ce workflow automatise le processus de récupération des commandes de Squarespace et leur enregistrement dans Google Sh...