Workflow n8n
Automatisation vidéo avec n8n : création d'histoires animées
Ce workflow n8n permet de créer des histoires animées en utilisant les API de GPT-4o-mini, Midjourney et Creatomate. Il est particulièrement utile pour les entreprises de contenu, les agences de marketing ou les créateurs de vidéos qui souhaitent automatiser la génération de vidéos à partir d'images générées par intelligence artificielle. Le processus commence par la récupération d'un prompt via un code JavaScript, suivi de la génération d'images à l'aide de l'API Midjourney. Chaque image est générée séquentiellement, avec des vérifications de statut pour s'assurer que chaque étape est complétée avant de passer à la suivante. Une fois les images obtenues, le workflow utilise ces images pour générer des vidéos via l'API Creatomate. Les vidéos sont ensuite combinées pour créer le produit final. Grâce à cette automatisation n8n, les utilisateurs peuvent réduire considérablement le temps de production vidéo tout en augmentant leur créativité et leur efficacité. En intégrant plusieurs services, ce workflow offre une solution complète pour la création de contenu visuel dynamique.
Tags clés :automatisationvidéon8ncréation de contenuintelligence artificielle
Catégorie: Manual · Tags: automatisation, vidéo, n8n, création de contenu, intelligence artificielle❤ 0
Workflow n8n vidéo, création de contenu, intelligence artificielle : vue d'ensemble
Schéma des nœuds et connexions de ce workflow n8n, généré à partir du JSON n8n.
Workflow n8n vidéo, création de contenu, intelligence artificielle : détail des nœuds
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"id": "MfKB97VVSuXMo3Fm",
"meta": {
"instanceId": "1e003a7ea4715b6b35e9947791386a7d07edf3b5bf8d4c9b7ee4fdcbec0447d7"
},
"name": "Create Animated Stories using GPT-4o-mini, Midjourney, Kling and Creatomate API",
"tags": [],
"nodes": [
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"type": "n8n-nodes-base.set",
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],
"parameters": {
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{
"id": "0107a930-1d7a-459c-a3ab-ceb28b43b8b8",
"name": "video1",
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"value": "={{ $json.data.output.video_url }}"
}
]
}
},
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{
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"name": "video2",
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"value": "={{ $json.data.output.video_url }}"
}
]
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{
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"name": "Get Prompt",
"type": "n8n-nodes-base.code",
"position": [
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],
"parameters": {
"jsCode": "const content = $input.first().json.choices[0].message.content;\n\nconst prompts = JSON.parse(content);\n\nreturn { prompts };"
},
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},
{
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],
"parameters": {
"mode": "raw",
"options": {},
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"value": "={{ $('Midjourney Generator of the First Image').item.json.data.task_id }}"
}
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"value": "application/json"
}
]
}
},
"executeOnce": true,
"typeVersion": 4.2
},
{
"id": "d73069fa-f24d-4972-87cb-24c20112f251",
"name": "Get the Third Video URL",
"type": "n8n-nodes-base.set",
"position": [
5480,
220
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "0107a930-1d7a-459c-a3ab-ceb28b43b8b8",
"name": "video3",
"type": "string",
"value": "={{ $json.data.output.video_url }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "cb26d84e-55aa-4de1-819e-7704dcc2b45d",
"name": "Get Video Task IDs",
"type": "n8n-nodes-base.set",
"position": [
3560,
40
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "d20160df-8be0-4bd0-8960-f49ebb596a64",
"name": "video_task1",
"type": "string",
"value": "={{ $('Generate the First Video').first().json.data.task_id }}"
},
{
"id": "1be26a8b-1ba3-4de3-a458-778a33f99730",
"name": "video_task2",
"type": "string",
"value": "={{ $('Generate the Second Video').first().json.data.task_id }}"
},
{
"id": "9718a718-8e19-4001-a0c9-2d35710d904e",
"name": "video_task3",
"type": "string",
"value": "={{ $json.data.task_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "7b6def7e-2712-42c8-8e2b-ac5f70ef146f",
"name": "Get the First Video Task",
"type": "n8n-nodes-base.httpRequest",
"position": [
3380,
420
],
"parameters": {
"url": "=https://api.piapi.ai/api/v1/task/{{ $('Get Video Task IDs').item.json.video_task1 }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Basic Params').first().json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "8c5a2fe8-75b1-42b5-b861-db3e11ba03d7",
"name": "Verify the First Video Generation",
"type": "n8n-nodes-base.if",
"position": [
3580,
420
],
"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": "9b6925e2-3f9a-46b9-acea-06abbce4033a",
"name": "Verify the Second Video Generation",
"type": "n8n-nodes-base.if",
"position": [
4320,
420
],
"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": "a591a522-65d8-4a4d-a326-64bc2e6463c5",
"name": "Verify the Third Video Generation",
"type": "n8n-nodes-base.if",
"position": [
5040,
420
],
"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": "376176c5-20c5-4a16-9fd5-10f9f2560575",
"name": "Wait for Video Generation for at Least 4 min",
"type": "n8n-nodes-base.wait",
"position": [
3780,
40
],
"webhookId": "d7fc1084-fd2e-4aac-98aa-60c719d73c4c",
"parameters": {
"unit": "minutes",
"amount": 4
},
"typeVersion": 1.1
},
{
"id": "dba60967-840b-4c3e-8673-080eae901185",
"name": "Wait for the First Video Generation",
"type": "n8n-nodes-base.wait",
"position": [
3800,
440
],
"webhookId": "db4734c5-f793-4b3b-a660-ae87c516dfc1",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "b337b044-7da8-494d-9d55-3685b2585e93",
"name": "Wait for the Second Video Generation",
"type": "n8n-nodes-base.wait",
"position": [
4480,
460
],
"webhookId": "d9cde4b3-5755-4fde-b58e-9b5849a21c2b",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "372f89ed-b771-4c6f-9bc2-faa7e31bfc6d",
"name": "Wait for the Third Video Generation",
"type": "n8n-nodes-base.wait",
"position": [
5260,
460
],
"webhookId": "d077385d-bd8f-4d14-b332-22a974f98ea7",
"parameters": {},
"typeVersion": 1.1
},
{
"id": "756d9cb7-da96-4515-a391-f152d3ca8ea9",
"name": "Get the First Video Generation",
"type": "n8n-nodes-base.switch",
"position": [
3800,
260
],
"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": "7b96363c-55f3-4773-9d50-f2e71c7ac4eb",
"name": "Get the Second Video Generation",
"type": "n8n-nodes-base.switch",
"position": [
4520,
240
],
"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": "eb19ddd9-1bd3-430b-997b-ad288a4731b9",
"name": "Get the Third Video Generation",
"type": "n8n-nodes-base.switch",
"position": [
5280,
220
],
"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": "4a1468b4-d183-423f-8360-93044bcf323a",
"name": "Get the Second Video Task",
"type": "n8n-nodes-base.httpRequest",
"position": [
4160,
420
],
"parameters": {
"url": "=https://api.piapi.ai/api/v1/task/{{ $('Get Video Task IDs').item.json.video_task2 }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Basic Params').first().json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "ff51a9b2-f17a-494d-afa7-a4fc0137d239",
"name": "Get the Third Video Task",
"type": "n8n-nodes-base.httpRequest",
"position": [
4840,
420
],
"parameters": {
"url": "=https://api.piapi.ai/api/v1/task/{{ $('Get Video Task IDs').item.json.video_task3 }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "x-api-key",
"value": "={{ $('Basic Params').first().json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "3db3e156-67ca-41cd-b9f2-5a03330ab33c",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
-280
],
"parameters": {
"width": 360,
"content": "## Basic Setting Instruction\nFill in **Basic Params** based on user's need. \nThe node concludes three section: style, character and situation_keyword.\nGPT-4o-mini will generate image description based on basic params mentioned above."
},
"typeVersion": 1
},
{
"id": "31419df4-39d4-4393-8e80-7cdceb24778e",
"name": "When clicking Test workflow",
"type": "n8n-nodes-base.manualTrigger",
"position": [
20,
-80
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e0510fc2-4570-4cd6-8438-42a7acd26414",
"name": "GPT-4o-mini Generate Image Scenario Prompt",
"type": "n8n-nodes-base.httpRequest",
"position": [
420,
-80
],
"parameters": {
"url": "https://api.piapi.ai/v1/chat/completions",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"gpt-4o-mini\",\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"You are a helpful assistant.\"\n },\n {\n \"role\": \"user\",\n \"content\": \"Character is {{ $json.character }}, style is {{ $json.style }}, context keywords are {{ $json.situational_keywords }}, please generate a short story containing relevant elements and styles based on Character and context keywords. It should be concise and clear and divided into three sections. The return format is {'title':'','prompt1':'','prompt2':'','prompt3':''}, directly return json data format, not markdo2t include unusual characters such as hyphens,The key and value are enclosed in double quotes, but if you need to use quotes in the value string, please use single quotes.\"\n }\n ]\n }",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{ $('Basic Params').first().json['x-api-key'] }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "f94354e2-066d-4bf0-ada1-edade772852d",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
180,
660
],
"parameters": {
"height": 120,
"content": "### Generate the first image\nThis workflow section is uesd to generate the first Midjourney image. "
},
"typeVersion": 1
},
{
"id": "86e4d54d-8046-4400-a327-b04e8f12a09c",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
660
],
"parameters": {
"height": 120,
"content": "### Generate the second image\nThis workflow section is uesd to generate the second Midjourney image. "
},
"typeVersion": 1
},
{
"id": "950a3dcb-83dc-4ee1-abb1-b33927edf1c2",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
1660,
680
],
"parameters": {
"height": 120,
"content": "### Generate the third image\nThis workflow section is uesd to generate the third Midjourney image. "
},
"typeVersion": 1
},
{
"id": "0a179107-17a4-4e38-998d-5845104199d0",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
2960,
-120
],
"parameters": {
"height": 120,
"content": "### Generate three Kling videos\nThis section is used to generate three Kliong videos."
},
"typeVersion": 1
},
{
"id": "dc589738-4130-4686-a4e2-cf07d9d22013",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
5640,
400
],
"parameters": {
"content": "### Combine Videos in Creatomate\nSet a video template in Creatomate, then set the node with instruction."
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "d16d0b20-c14e-4d0e-83ea-467e0d7c8280",
"connections": {
"output1": {
"main": [
[
{
"node": "Get the Second Video Task",
"type": "main",
"index": 0
}
]
]
},
"output2": {
"main": [
[
{
"node": "Get the Third Video Task",
"type": "main",
"index": 0
}
]
]
},
"Get Prompt": {
"main": [
[
{
"node": "Midjourney Generator of the First Image",
"type": "main",
"index": 0
}
]
]
},
"Basic Params": {
"main": [
[
{
"node": "GPT-4o-mini Generate Image Scenario Prompt",
"type": "main",
"index": 0
}
]
]
},
"Get Video Task IDs": {
"main": [
[
{
"node": "Wait for Video Generation for at Least 4 min",
"type": "main",
"index": 0
}
]
]
},
"Get three Image URLs": {
"main": [
[
{
"node": "Generate the First Video",
"type": "main",
"index": 0
}
]
]
},
"Get the First Image URL": {
"main": [
[
{
"node": "Midjourney Generator of the Second Image",
"type": "main",
"index": 0
}
]
]
},
"Get the Third Image URL": {
"main": [
[
{
"node": "Get three Image URLs",
"type": "main",
"index": 0
}
]
]
},
"Get the Third Video URL": {
"main": [
[
{
"node": "Final Video Combination",
"type": "main",
"index": 0
}
]
]
},
"Generate the First Video": {
"main": [
[
{
"node": "Generate the Second Video",
"type": "main",
"index": 0
}
]
]
},
"Generate the Third Video": {
"main": [
[
{
"node": "Get Video Task IDs",
"type": "main",
"index": 0
}
]
]
},
"Get the First Video Task": {
"main": [
[
{
"node": "Verify the First Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Get the Second Image URL": {
"main": [
[
{
"node": "Midjourney Generator of the Third Image",
"type": "main",
"index": 0
}
]
]
},
"Get the Third Video Task": {
"main": [
[
{
"node": "Verify the Third Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Generate the Second Video": {
"main": [
[
{
"node": "Generate the Third Video",
"type": "main",
"index": 0
}
]
]
},
"Get the Second Video Task": {
"main": [
[
{
"node": "Verify the Second Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Get Task of the First Image": {
"main": [
[
{
"node": "Verify the first image generation status",
"type": "main",
"index": 0
}
]
]
},
"Get Task of the Third Image": {
"main": [
[
{
"node": "Verify the third image generation status",
"type": "main",
"index": 0
}
]
]
},
"When clicking Test workflow": {
"main": [
[
{
"node": "Basic Params",
"type": "main",
"index": 0
}
]
]
},
"Get Task of the Second Image": {
"main": [
[
{
"node": "Verify the second image generation status",
"type": "main",
"index": 0
}
]
]
},
"Get Task ID of the First Image": {
"main": [
[
{
"node": "Wait for the First Image Generation",
"type": "main",
"index": 0
}
]
]
},
"Get the First Video Generation": {
"main": [
[
{
"node": "output1",
"type": "main",
"index": 0
}
]
]
},
"Get the Third Video Generation": {
"main": [
[
{
"node": "Get the Third Video URL",
"type": "main",
"index": 0
}
]
]
},
"Get the Second Video Generation": {
"main": [
[
{
"node": "output2",
"type": "main",
"index": 0
}
]
]
},
"Verify the First Video Generation": {
"main": [
[
{
"node": "Get the First Video Generation",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for the First Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Verify the Third Video Generation": {
"main": [
[
{
"node": "Get the Third Video Generation",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for the Third Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Verify the Second Video Generation": {
"main": [
[
{
"node": "Get the Second Video Generation",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for the Second Video Generation",
"type": "main",
"index": 0
}
]
]
},
"Wait for the First Image Generation": {
"main": [
[
{
"node": "Get Task of the First Image",
"type": "main",
"index": 0
}
]
]
},
"Wait for the First Video Generation": {
"main": [
[
{
"node": "Get the First Video Task",
"type": "main",
"index": 0
}
]
]
},
"Wait for the Third Image Generation": {
"main": [
[
{
"node": "Get Task of the Third Image",
"type": "main",
"index": 0
}
]
]
},
"Wait for the Third Video Generation": {
"main": [
[
{
"node": "Get the Third Video Task",
"type": "main",
"index": 0
}
]
]
},
"Wait for the Second Image Generation": {
"main": [
[
{
"node": "Get Task of the Second Image",
"type": "main",
"index": 0
}
]
]
},
"Wait for the Second Video Generation": {
"main": [
[
{
"node": "Get the Second Video Task",
"type": "main",
"index": 0
}
]
]
},
"Get the First Image Generation Status": {
"main": [
[
{
"node": "Get the First Image URL",
"type": "main",
"index": 0
}
]
]
},
"Get the Third Image Generation Status": {
"main": [
[
{
"node": "Get the Third Image URL",
"type": "main",
"index": 0
}
]
]
},
"Get the Second Image Generation Status": {
"main": [
[
{
"node": "Get the Second Image URL",
"type": "main",
"index": 0
}
]
]
},
"Midjourney Generator of the First Image": {
"main": [
[
{
"node": "Get Task ID of the First Image",
"type": "main",
"index": 0
}
]
]
},
"Midjourney Generator of the Third Image": {
"main": [
[
{
"node": "Wait for the Third Image Generation",
"type": "main",
"index": 0
}
]
]
},
"Midjourney Generator of the Second Image": {
"main": [
[
{
"node": "Wait for the Second Image Generation",
"type": "main",
"index": 0
}
]
]
},
"Verify the first image generation status": {
"main": [
[
{
"node": "Get the First Image Generation Status",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for the First Image Generation",
"type": "main",
"index": 0
}
]
]
},
"Verify the third image generation status": {
"main": [
[
{
"node": "Get the Third Image Generation Status",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for the Third Image Generation",
"type": "main",
"index": 0
}
]
]
},
"Verify the second image generation status": {
"main": [
[
{
"node": "Get the Second Image Generation Status",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait for the Second Image Generation",
"type": "main",
"index": 0
}
]
]
},
"GPT-4o-mini Generate Image Scenario Prompt": {
"main": [
[
{
"node": "Get Prompt",
"type": "main",
"index": 0
}
]
]
},
"Wait for Video Generation for at Least 4 min": {
"main": [
[
{
"node": "Get the First Video Task",
"type": "main",
"index": 0
}
]
]
}
}
}Workflow n8n vidéo, création de contenu, intelligence artificielle : pour qui est ce workflow ?
Ce workflow s'adresse aux agences de marketing, aux créateurs de contenu et aux entreprises de médias qui cherchent à automatiser la production de vidéos. Il est idéal pour les équipes ayant une certaine expertise technique et souhaitant intégrer des outils d'intelligence artificielle dans leur processus créatif.
Workflow n8n vidéo, création de contenu, intelligence artificielle : problème résolu
Ce workflow résout le problème de la création manuelle de vidéos, qui peut être chronophage et nécessiter des compétences techniques avancées. En automatisant la génération d'images et de vidéos, il permet aux utilisateurs de gagner du temps tout en produisant un contenu de haute qualité. Cela réduit également le risque d'erreurs humaines et améliore la cohérence du contenu produit.
Workflow n8n vidéo, création de contenu, intelligence artificielle : étapes du workflow
Étape 1 : Le workflow commence par le déclenchement manuel.
- Étape 1 : Il récupère un prompt via un code JavaScript.
- Étape 2 : Les images sont générées séquentiellement en utilisant l'API Midjourney.
- Étape 3 : Chaque image générée est vérifiée pour s'assurer de son statut.
- Étape 4 : Une fois toutes les images obtenues, elles sont utilisées pour générer des vidéos via l'API Creatomate.
- Étape 5 : Les vidéos sont combinées pour créer le produit final.
Workflow n8n vidéo, création de contenu, intelligence artificielle : guide de personnalisation
Pour personnaliser ce workflow, vous pouvez modifier le prompt dans le nœud 'Get Prompt' pour adapter le contenu généré à vos besoins. Assurez-vous également de configurer les paramètres des API Midjourney et Creatomate, notamment les clés d'API et les options de génération. Si vous souhaitez ajouter d'autres outils, vous pouvez intégrer des nœuds supplémentaires pour enrichir le processus, comme des notifications ou des sauvegardes. Enfin, surveillez le flux en utilisant des outils de logging pour assurer une exécution fluide.