Mein Workflow 9_Alte Version
Experte
Dies ist ein Content Creation, Multimodal AI-Bereich Automatisierungsworkflow mit 31 Nodes. Hauptsächlich werden If, Set, Code, Wait, Limit und andere Nodes verwendet. Erstellen Sie täglich YouTube-Videos mit MagicHour, Gemini und Google Sheets
Voraussetzungen
- •Möglicherweise sind Ziel-API-Anmeldedaten erforderlich
- •Google Sheets API-Anmeldedaten
- •Google Gemini API Key
Verwendete Nodes (31)
Kategorie
Workflow-Vorschau
Visualisierung der Node-Verbindungen, mit Zoom und Pan
Workflow exportieren
Kopieren Sie die folgende JSON-Konfiguration und importieren Sie sie in n8n
{
"id": "l0DWacMq9HsRdfZK",
"meta": {
"instanceId": "89f857783d94f88de198b7de991dc13cb9f9288d07a0818751d10e53e6f4a74d"
},
"name": "My workflow 9_old",
"tags": [],
"nodes": [
{
"id": "db899b52-e3ef-4902-aef7-d00d768604fa",
"name": "Sheet Row Added",
"type": "n8n-nodes-base.googleSheetsTrigger",
"position": [
-2368,
240
],
"parameters": {
"event": "rowAdded",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1x-2u3o5ZTbF9LkdJ0r9U0wQXdTX5nk2VTRexECb-qcU"
}
},
"credentials": {
"googleSheetsTriggerOAuth2Api": {
"id": "zMsnSX7qN7xPttZ6",
"name": "Google Sheets Trigger account"
}
},
"typeVersion": 1
},
{
"id": "e0d4bd28-2dc5-4a21-b032-f9662aaf9224",
"name": "Chat Input",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-1888,
432
],
"webhookId": "8afa2591-4310-4a74-85d5-9dc6bbe1bc29",
"parameters": {
"options": {}
},
"typeVersion": 1.3
},
{
"id": "6298a14e-cf94-44b7-89cd-7ee04261fe68",
"name": "Normalize Input",
"type": "n8n-nodes-base.set",
"position": [
-1696,
320
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "prompt_id",
"name": "Prompt",
"type": "string",
"value": "={{ $json.Prompt || $json.chatInput }}"
},
{
"id": "source_id",
"name": "source",
"type": "string",
"value": "={{ $json.Prompt ? 'sheet' : 'chat' }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "e3ff7b59-a0d7-4d3b-98dc-2508c79d4c21",
"name": "Generate Video Parameters",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-1472,
320
],
"parameters": {
"text": "=You will receive ONE free-text prompt from a Google Sheet:\n\nRAW_PROMPT: \"{{$json.Prompt}}\"\n\nGoal: Produce ONLY a valid JSON body for MagicHour Text-to-Video (no prose, no backticks). Infer missing details from context and common sense.\n\nDefaults (if not stated or implied):\n- end_seconds: 5\n- orientation: \"landscape\" (use \"portrait\" if RAW_PROMPT implies vertical / mobile, e.g., \"vertical\", \"reel\", \"tiktok\", \"portrait\"; use \"square\" if it says \"square\")\n- resolution: \"720p\" (use \"720p\" if RAW_PROMPT mentions HD; use \"1080p\" if it mentions Full HD / 1080)\n- fps: 24\n- guidance_scale: 7.5\n- model: \"magichour-v1\"\n- music: false\n- seed: omit unless explicitly given\n- negative_prompt: omit unless clearly implied (e.g., \"no blur\", \"avoid text\")\n\nInterpretation rules:\n- Clean grammar; turn shorthand into a clear cinematic description.\n- Expand vague phrases into specific, natural language visuals (subject, action, setting, lighting, mood).\n- Respect indirect hints: \n - \"handheld\", \"POV\", \"selfie\" → informal, closer framing.\n - \"cinematic\", \"film look\", \"bokeh\", \"depth of field\" → add cinematic phrasing.\n - Time of day words (sunset/night/morning) → include lighting.\n - Platform hints (\"vertical\", \"reel\", \"story\") → orientation \"portrait\".\n- Never add brands, gore, or unsafe/NSFW content.\n\nOutput schema (ONLY these keys):\n{\n \"name\": string, // short job name based on the prompt\n \"end_seconds\": integer, // 1–120\n \"orientation\": \"landscape\"|\"portrait\"|\"square\",\n \"resolution\": \"480p\"|\"720p\"|\"1080p\",\n \"fps\": integer, // 12–60\n \"guidance_scale\": number, // 0–20\n \"model\": string,\n \"music\": boolean,\n \"style\": {\n \"prompt\": string, // enriched, camera-ready description\n \"negative_prompt\": string // OPTIONAL; omit if none\n },\n \"webhook_url\": string // OPTIONAL; omit if unknown\n}\n\nNaming rule:\n- name = first 5–8 meaningful words of the enriched prompt, lower case.\n\nReturn ONLY the JSON object.",
"options": {
"systemMessage": "You are an assistant inside an n8n workflow. Your job is to read a single Google Sheet row and produce a STRICT JSON object that matches the Text-to-Video request body for the MagicHour API.\n\nRules:\n- Output ONLY JSON (no prose, no backticks).\n- Validate and normalize user inputs. Apply sensible defaults when values are missing or invalid.\n- Do not invent fields that are not in the schema below.\n- Trim whitespace; coalesce empty strings to null; remove keys whose value becomes null unless required.\n\nReturn EXACTLY one JSON object conforming to the schema provided in the Structured Output Parser."
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "e1ab9b74-77e1-495c-b17d-1c165f6edd02",
"name": "Video Params Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-1312,
544
],
"parameters": {
"jsonSchemaExample": "{\n \"name\": \"video clip\",\n \"end_seconds\": 5,\n \"orientation\": \"landscape\",\n \"resolution\": \"720p\",\n \"fps\": 24,\n \"guidance_scale\": 7.5,\n \"model\": \"magichour-v1\",\n \"music\": false,\n \"style\": {\n \"prompt\": \"cinematic description\"\n }\n}"
},
"typeVersion": 1.3
},
{
"id": "3fa0edce-0495-4cd6-b684-d71b02db889d",
"name": "Create Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
-1120,
320
],
"parameters": {
"url": "https://api.magichour.ai/v1/text-to-video",
"method": "POST",
"options": {},
"jsonBody": "={{ $json.output }}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"typeVersion": 4.2,
"continueOnFail": true
},
{
"id": "52246df7-31a1-4b16-a64b-e7aa83505dda",
"name": "Initialize Retry Counter",
"type": "n8n-nodes-base.set",
"position": [
-896,
320
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "video_id",
"name": "video_id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "retry_count",
"name": "retry_count",
"type": "number",
"value": "=0"
},
{
"id": "max_retries",
"name": "max_retries",
"type": "number",
"value": "=20"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "0d180549-7797-4676-a536-e71b9e23d44e",
"name": "Check Video Status",
"type": "n8n-nodes-base.httpRequest",
"position": [
-672,
320
],
"parameters": {
"url": "=https://api.magichour.ai/v1/video-projects/{{ $json.video_id }}",
"options": {
"timeout": 10000
},
"authentication": "genericCredentialType",
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "v3NjdfxikoD7NPHW",
"name": "Bearer YOUR_TOKEN_HERE account 2"
}
},
"typeVersion": 4.2,
"continueOnFail": true
},
{
"id": "ca6c413d-e2a4-4ff9-a49c-164e4a204d15",
"name": "Video Complete?",
"type": "n8n-nodes-base.if",
"position": [
-448,
304
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "6b723249-19f5-4d67-b2b2-8cff4d2f3b44",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.status }}",
"rightValue": "complete"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "526d14c8-8a6f-495e-b90d-885652ffce9b",
"name": "Warten & Retry",
"type": "n8n-nodes-base.wait",
"position": [
-224,
496
],
"webhookId": "c5a2cf81-313c-4305-a6d1-032744e9611e",
"parameters": {
"amount": 30
},
"typeVersion": 1.1
},
{
"id": "b2732e93-2aa5-4631-bcf3-a02b685cd962",
"name": "Download Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
-224,
160
],
"parameters": {
"url": "={{ $json.downloads[0].url }}",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2,
"continueOnFail": true
},
{
"id": "6660692e-54a6-4b75-9faf-59bfeedd0070",
"name": "Prepare Metadata",
"type": "n8n-nodes-base.set",
"position": [
0,
304
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "original_prompt",
"name": "original_prompt",
"type": "string",
"value": "={{ $('Normalize Input').item.json.Prompt }}"
},
{
"id": "video_description",
"name": "video_description",
"type": "string",
"value": "={{ $('Generate Video Parameters').item.json.output.style.prompt }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8f92cd49-26a2-4f05-a24e-54c03bd1c019",
"name": "Generate YouTube Data",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
224,
304
],
"parameters": {
"text": "=Generate YouTube metadata for this video:\n\n**Original Prompt:** {{ $json.original_prompt }}\n**Video Description:** {{ $json.video_description }}\n\nCreate an engaging YouTube title (max 100 chars), detailed description (include keywords naturally), and relevant tags (comma-separated).\n\nReturn ONLY a JSON object with this exact structure:\n{\n \"youtube_title\": \"Your title here\",\n \"youtube_description\": \"Your description here\",\n \"youtube_tags\": \"tag1, tag2, tag3, tag4, tag5\"\n}",
"options": {
"systemMessage": "You are a YouTube SEO expert. Generate optimized metadata for videos. Always return ONLY valid JSON without any additional text or formatting."
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "0eeffa8c-9896-42b9-a402-18d07d1de200",
"name": "YouTube JSON Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
368,
528
],
"parameters": {
"jsonSchemaExample": "{\n \"youtube_title\": \"Amazing Video Title\",\n \"youtube_description\": \"Detailed description...\",\n \"youtube_tags\": \"tag1, tag2, tag3\"\n}"
},
"typeVersion": 1.3
},
{
"id": "9ddabdd7-c757-4271-9990-e9edf69d8b83",
"name": "Prepare Sheet Update",
"type": "n8n-nodes-base.set",
"position": [
1248,
160
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "youtube_url",
"name": "Youtube URL",
"type": "string",
"value": "=https://www.youtube.com/watch?v={{ $json.uploadId }}"
},
{
"id": "upload_status",
"name": "upload_status",
"type": "string",
"value": "complete"
},
{
"id": "video_title",
"name": "Youtube Title",
"type": "string",
"value": "={{ $('Generate YouTube Data').item.json.output.youtube_title }}"
},
{
"id": "uploaded_at",
"name": "uploaded_at",
"type": "string",
"value": "={{ new Date().toISOString() }}"
},
{
"id": "ae7a42b3-7066-44ef-aa84-510c8f261756",
"name": "Youtube Tags",
"type": "string",
"value": "={{ $('Generate YouTube Data').item.json.output.youtube_tags }}"
},
{
"id": "e64805ec-aa6a-4672-b64e-e346cb254048",
"name": "Youtube Description",
"type": "string",
"value": "={{ $('Generate YouTube Data').item.json.output.youtube_description }}"
},
{
"id": "63b49ec9-999d-4bdf-bcd0-15e989849314",
"name": "Download URL",
"type": "string",
"value": "={{ $('Check Video Status').item.json.downloads[0].url }}"
},
{
"id": "54ca1aba-85ec-496e-8468-7745f1d5994c",
"name": "Prompt",
"type": "string",
"value": "={{ $('Normalize Input').item.json.Prompt }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "f02805ee-fc64-4ea9-ab20-27c765c24fef",
"name": "Update Results",
"type": "n8n-nodes-base.googleSheets",
"position": [
1472,
160
],
"parameters": {
"columns": {
"value": {
"Prompt": "={{ $json.Prompt }}",
"Youtube URL": "={{ $json['Youtube URL'] }}",
"Download URL": "={{ $json['Download URL'] }}",
"Youtube Tags": "={{ $json['Youtube Tags'] }}",
"Youtube Title": "={{ $json['Youtube Title'] }}",
"Youtube Description": "={{ $json['Youtube Description'] }}"
},
"schema": [
{
"id": "Prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Download URL",
"type": "string",
"display": true,
"required": false,
"displayName": "Download URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Youtube Title",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Youtube Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Youtube Tags",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Youtube Tags",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Youtube Description",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Youtube Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Youtube URL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "Youtube URL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"Prompt"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0"
},
"documentId": {
"__rl": true,
"value": "1x-2u3o5ZTbF9LkdJ0r9U0wQXdTX5nk2VTRexECb-qcU"
}
},
"typeVersion": 4.7
},
{
"id": "42be420e-d832-4e24-a4c8-048d10991d6c",
"name": "Gemini AI Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
240,
528
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "abb1a3f1-4f7c-4d0e-9636-43fc09703208",
"name": "Google Gemini-Chat-Modell",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-1472,
544
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "36aca885-9df1-45e0-b729-95c319acaa0f",
"name": "Zusammenführen",
"type": "n8n-nodes-base.merge",
"position": [
592,
160
],
"parameters": {
"mode": "combine",
"options": {},
"combineBy": "combineAll"
},
"typeVersion": 3.2
},
{
"id": "324140f6-6443-4734-b9ea-fdee1b3f5b9d",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
0,
560
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "dcc88ab6-4c5e-4b2b-b92f-bde26c5fcd00",
"name": "video_id",
"type": "string",
"value": "={{ $('Initialize Retry Counter').item.json.video_id }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2d74bb48-2c46-4af6-8e6c-071db4ddd660",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-2144,
240
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "d850f36e-8dc0-475d-a8bc-87f7b61bbba8",
"operator": {
"type": "string",
"operation": "empty",
"singleValue": true
},
"leftValue": "={{ $json[\"Download URL\"] }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2.2
},
{
"id": "abbb3edf-0de7-4264-9766-c3088be7270a",
"name": "Begrenzen",
"type": "n8n-nodes-base.limit",
"position": [
-1920,
224
],
"parameters": {},
"typeVersion": 1
},
{
"id": "92e396db-e6bb-4277-b8a3-a9470df8f77a",
"name": "Warten",
"type": "n8n-nodes-base.wait",
"position": [
800,
160
],
"webhookId": "185bbb0b-4331-4010-9975-9e15841d9a9a",
"parameters": {
"amount": 20
},
"typeVersion": 1.1
},
{
"id": "775fd4f0-074e-4780-b133-be549e6cf36f",
"name": "Upload a video",
"type": "n8n-nodes-base.youTube",
"position": [
1024,
160
],
"parameters": {
"title": "={{ $json.output.youtube_title }}",
"options": {
"tags": "={{ $json.output.youtube_tags }}",
"description": "={{ $json.output.youtube_description }}",
"privacyStatus": "public"
},
"resource": "video",
"operation": "upload",
"categoryId": "17",
"regionCode": "IN"
},
"typeVersion": 1
},
{
"id": "97029081-9c96-4050-a4c1-6d474b349a03",
"name": "MixAudio audio",
"type": "n8n-nodes-mediafx.mediaFX",
"position": [
288,
0
],
"parameters": {
"resource": "audio",
"operation": "mixAudio",
"mixAudioSourceUrl": "https://freepd.com/music/Adventure.mp3",
"mixVideoSourceUrl": "={{ $json.videoUrl }}"
},
"typeVersion": 1
},
{
"id": "0723650f-fe54-47ed-9bac-7521cd061fa4",
"name": "Code in JavaScript",
"type": "n8n-nodes-base.code",
"position": [
0,
0
],
"parameters": {
"jsCode": "// Get binary video data\nconst binaryData = $input.first().binary?.data;\n\nif (!binaryData) {\n throw new Error(\"No binary data found\");\n}\n\n// Create data URL\nconst base64Video = binaryData.data;\nconst mimeType = binaryData.mimeType || 'video/mp4';\nconst dataUrl = `data:${mimeType};base64,${base64Video}`;\n\nreturn {\n json: {\n videoUrl: dataUrl\n }\n};\n"
},
"typeVersion": 2
},
{
"id": "0f8f6cd3-920c-4c8c-8638-c927dfedd7c2",
"name": "Haftnotiz",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2496,
368
],
"parameters": {
"width": 352,
"height": 544,
"content": "Google Sheet Should have Youtube URL, Youtube Title, Youtube Tags, Youtube Description, Download URL, and matches by the original Prompt value to update the correct row.\n\nFor Shorts, the user only needs to mention it in the prompt (e.g., “make a shorts of …”). The AI in this workflow automatically handles orientation, duration, and metadata tagging so that the video is uploaded as a YouTube Short.\n\nYou should add your own spreadsheet you can watch video online to add your own spreadsheet\nor\nGo to Google Cloud Console → create/select a project.\nEnable APIs: Google Sheets API and Google Drive API.\nConfigure OAuth consent screen (External/Internal as needed).\nCreate OAuth client credentials (Web application). Add Authorized redirect URI: https://<your-n8n-domain>/rest/oauth2-credential/callback\nIn n8n → Credentials → Google Sheets OAuth2: connect your Google account and grant scopes.\nUse this credential in: Sheet Row Added (trigger) and Update Results nodes.\n\n"
},
"typeVersion": 1
},
{
"id": "a785fb65-46db-45ed-a4f3-999efed0c8cf",
"name": "Haftnotiz6",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1568,
672
],
"parameters": {
"width": 288,
"height": 176,
"content": "Create a key in Google AI Studio (or set up Vertex AI + API key/service account).\nIn n8n → Credentials → Google PaLM/Gemini: paste your API key.\nSelect this credential in the Gemini model nodes used by the LangChain agents.\n"
},
"typeVersion": 1
},
{
"id": "58d63a90-befa-44ca-8649-b918943239fd",
"name": "Haftnotiz7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1104,
496
],
"parameters": {
"width": 528,
"height": 272,
"content": "Sign up / log in to MagicHour and open the Developer/API dashboard.\nCreate an API key. Copy it safely (some dashboards display a secret only once).\nIn n8n → Credentials → New → HTTP Bearer YOUR_TOKEN_HERE: paste the token as the bearer value.\nAttach these credentials to both HTTP Request nodes (Create Video, Check Video Status).\nHeaders are handled by the credential; requests will send: Authorization: Bearer <your_token>\n"
},
"typeVersion": 1
},
{
"id": "cede0ba1-9b30-4467-9cde-9a54ebd6f8d3",
"name": "Haftnotiz8",
"type": "n8n-nodes-base.stickyNote",
"position": [
912,
336
],
"parameters": {
"width": 320,
"height": 256,
"content": "In the same Google Cloud project, enable YouTube Data API v3.\nCreate OAuth client credentials (Web application) and use the same n8n redirect URI.\nIn n8n → Credentials → YouTube OAuth2: authorize with your Google account that has a YouTube channel.\nGrant necessary scopes for upload.\nIn the YouTube node, set regionCode, categoryId, privacyStatus, and map the metadata fields.\n"
},
"typeVersion": 1
},
{
"id": "38203cda-bb9a-44d5-b125-e5c009206c95",
"name": "Haftnotiz9",
"type": "n8n-nodes-base.stickyNote",
"position": [
224,
-144
],
"parameters": {
"content": "this is free audio which can only work if you have n8n pro or host it on your PC \n\ncan change music as you like"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "51bed7a3-b2da-4764-937c-22dd7b024ace",
"connections": {
"2d74bb48-2c46-4af6-8e6c-071db4ddd660": {
"main": [
[
{
"node": "Limit",
"type": "main",
"index": 0
}
]
]
},
"Wait": {
"main": [
[
{
"node": "775fd4f0-074e-4780-b133-be549e6cf36f",
"type": "main",
"index": 0
}
]
]
},
"Limit": {
"main": [
[
{
"node": "6298a14e-cf94-44b7-89cd-7ee04261fe68",
"type": "main",
"index": 0
}
]
]
},
"Merge": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"e0d4bd28-2dc5-4a21-b032-f9662aaf9224": {
"main": [
[
{
"node": "6298a14e-cf94-44b7-89cd-7ee04261fe68",
"type": "main",
"index": 0
}
]
]
},
"324140f6-6443-4734-b9ea-fdee1b3f5b9d": {
"main": [
[
{
"node": "0d180549-7797-4676-a536-e71b9e23d44e",
"type": "main",
"index": 0
}
]
]
},
"3fa0edce-0495-4cd6-b684-d71b02db889d": {
"main": [
[
{
"node": "52246df7-31a1-4b16-a64b-e7aa83505dda",
"type": "main",
"index": 0
}
]
]
},
"Wait & Retry": {
"main": [
[
{
"node": "324140f6-6443-4734-b9ea-fdee1b3f5b9d",
"type": "main",
"index": 0
}
]
]
},
"b2732e93-2aa5-4631-bcf3-a02b685cd962": {
"main": [
[
{
"node": "6660692e-54a6-4b75-9faf-59bfeedd0070",
"type": "main",
"index": 0
},
{
"node": "0723650f-fe54-47ed-9bac-7521cd061fa4",
"type": "main",
"index": 0
}
]
]
},
"97029081-9c96-4050-a4c1-6d474b349a03": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 1
}
]
]
},
"775fd4f0-074e-4780-b133-be549e6cf36f": {
"main": [
[
{
"node": "9ddabdd7-c757-4271-9990-e9edf69d8b83",
"type": "main",
"index": 0
}
]
]
},
"42be420e-d832-4e24-a4c8-048d10991d6c": {
"ai_languageModel": [
[
{
"node": "8f92cd49-26a2-4f05-a24e-54c03bd1c019",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"6298a14e-cf94-44b7-89cd-7ee04261fe68": {
"main": [
[
{
"node": "e3ff7b59-a0d7-4d3b-98dc-2508c79d4c21",
"type": "main",
"index": 0
}
]
]
},
"db899b52-e3ef-4902-aef7-d00d768604fa": {
"main": [
[
{
"node": "2d74bb48-2c46-4af6-8e6c-071db4ddd660",
"type": "main",
"index": 0
}
]
]
},
"ca6c413d-e2a4-4ff9-a49c-164e4a204d15": {
"main": [
[
{
"node": "b2732e93-2aa5-4631-bcf3-a02b685cd962",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait & Retry",
"type": "main",
"index": 0
}
]
]
},
"6660692e-54a6-4b75-9faf-59bfeedd0070": {
"main": [
[
{
"node": "8f92cd49-26a2-4f05-a24e-54c03bd1c019",
"type": "main",
"index": 0
}
]
]
},
"0d180549-7797-4676-a536-e71b9e23d44e": {
"main": [
[
{
"node": "ca6c413d-e2a4-4ff9-a49c-164e4a204d15",
"type": "main",
"index": 0
}
]
]
},
"0723650f-fe54-47ed-9bac-7521cd061fa4": {
"main": [
[
{
"node": "97029081-9c96-4050-a4c1-6d474b349a03",
"type": "main",
"index": 0
}
]
]
},
"e1ab9b74-77e1-495c-b17d-1c165f6edd02": {
"ai_outputParser": [
[
{
"node": "e3ff7b59-a0d7-4d3b-98dc-2508c79d4c21",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"0eeffa8c-9896-42b9-a402-18d07d1de200": {
"ai_outputParser": [
[
{
"node": "8f92cd49-26a2-4f05-a24e-54c03bd1c019",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"9ddabdd7-c757-4271-9990-e9edf69d8b83": {
"main": [
[
{
"node": "f02805ee-fc64-4ea9-ab20-27c765c24fef",
"type": "main",
"index": 0
}
]
]
},
"8f92cd49-26a2-4f05-a24e-54c03bd1c019": {
"main": [
[
{
"node": "Merge",
"type": "main",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "e3ff7b59-a0d7-4d3b-98dc-2508c79d4c21",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"52246df7-31a1-4b16-a64b-e7aa83505dda": {
"main": [
[
{
"node": "0d180549-7797-4676-a536-e71b9e23d44e",
"type": "main",
"index": 0
}
]
]
},
"e3ff7b59-a0d7-4d3b-98dc-2508c79d4c21": {
"main": [
[
{
"node": "3fa0edce-0495-4cd6-b684-d71b02db889d",
"type": "main",
"index": 0
}
]
]
}
}
}Häufig gestellte Fragen
Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Content-Erstellung, Multimodales KI
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
Verwandte Workflows
n8n-Knoten in der visuellen Referenzbibliothek erkunden
Erkundung von n8n-Knoten in der visuellen Referenzbibliothek
If
Ftp
Set
+
If
Ftp
Set
113 NodesI versus AI
Sonstiges
WordPress-Blog-Automatisierung Professional Edition (Deep Research) v2.1 Markt
Automatisierung der Erstellung von SEO-optimierten Blogs mit GPT-4o, Perplexity AI und mehrsprachiger Unterstützung
If
Set
Xml
+
If
Set
Xml
125 NodesDaniel Ng
Content-Erstellung
Mit Sora-2, GPT und YouTube Affiliate-Produktvideos erstellen und veröffentlichen
Affiliate-Produktvideos mit Sora-2, GPT und YouTube erstellen und veröffentlichen
If
Set
Code
+
If
Set
Code
34 NodesAmjid Ali
Content-Erstellung
Echtzeit - Automatisierung der viralen KI-Videoproduktion und -veröffentlichung mit Gemini und Creatomate
Automatisierte KI-Videoproduktion und -veröffentlichung auf mehreren Plattformen mit Gemini und Creatomate
Set
Code
Wait
+
Set
Code
Wait
47 NodesIntuz
Content-Erstellung
Automatisierung von Gesicht-videos mit OpenAI, RunwayML und ElevenLabs
Automatisierung von Gesichtsvideos ohne Gesicht mit OpenAI, RunwayML und ElevenLabs: Von Skript bis Social Media
Set
Code
Wait
+
Set
Code
Wait
56 NodesLeeWei
Content-Erstellung
Inhaltsaggregation
Automatisierte Veröffentlichung von Social-Media-Posts auf LinkedIn und X/Twitter aus Website-Artikeln mit Gemini AI
If
Set
Xml
+
If
Set
Xml
34 NodesVadim
Content-Erstellung
Workflow-Informationen
Schwierigkeitsgrad
Experte
Anzahl der Nodes31
Kategorie2
Node-Typen16
Autor
Externe Links
Auf n8n.io ansehen →
Diesen Workflow teilen