使用 Veo3 Fast 进行叙事链 ✅
高级
这是一个Content Creation、Multimodal AI领域的自动化工作流，包含 35 个节点。主要使用 If、Set、Wait、Aggregate、HttpRequest 等节点。 叙事链：使用Veo3进行AI生成的视频场景扩展
前置要求
- •可能需要目标 API 的认证凭证
- •Google Sheets API 凭证
- •OpenAI API Key
使用的节点 (35 个)
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "A68ar0oBwWltbmI3",
"meta": {
"instanceId": "968a3c2b30cb09cf0a66d24d68a6bc678e7409c798216c0e83a441f6a1d3b91b",
"templateCredsSetupCompleted": true
},
"name": "使用 Veo3 Fast 进行叙事链 ✅",
"tags": [],
"nodes": [
{
"id": "3318859a-d325-48d9-83b1-57ee0e31ca9e",
"name": "便签 11",
"type": "n8n-nodes-base.stickyNote",
"position": [
1456,
304
],
"parameters": {
"color": 7,
"width": 496,
"height": 96,
"content": "## 步骤 3：获取最后一帧"
},
"typeVersion": 1
},
{
"id": "624a13a0-ce0c-4f99-beeb-fb3ad3e68057",
"name": "便签12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1456,
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],
"parameters": {
"color": 7,
"width": 368,
"height": 96,
"content": "## 步骤 1：分析前序视频"
},
"typeVersion": 1
},
{
"id": "e0f237a9-6710-413d-a336-60b76b7c811e",
"name": "思考",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
832,
576
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5743a029-2738-4604-8928-da1018f11e80",
"name": "GPT",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
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576
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "kc8YMi5B68zGPUZQ",
"name": "OpenAi account 2"
}
},
"typeVersion": 1.2
},
{
"id": "22cff697-4951-4ebf-b365-2d7276a80454",
"name": "便签14",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 7,
"width": 480,
"height": 96,
"content": "## 步骤 2：生成下一个提示"
},
"typeVersion": 1
},
{
"id": "48d024ef-92e1-4edc-9d84-aef29817216c",
"name": "分析视频",
"type": "n8n-nodes-base.httpRequest",
"position": [
1120,
48
],
"parameters": {
"url": "https://queue.fal.run/fal-ai/video-understanding",
"method": "POST",
"options": {},
"jsonBody": "={\n \"video_url\": \"{{ $json.mediaURL }}\",\n \"prompt\": \"What is happening in this video? At the very top, include a Heading 1 Section describing what happens at the last frame of the video. Make sure to describe the music, the camera being used, the camera movement, the dialogue if any, what their accent is, and a description of the characters. \",\n \"detailed_analysis\": true\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "YNGfdvlUgXAdpYmm",
"name": "fal.ai"
}
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"typeVersion": 4.2
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{
"id": "aa56c538-4d6f-4567-bf8e-9247c7019b25",
"name": "获取分析",
"type": "n8n-nodes-base.httpRequest",
"position": [
1344,
48
],
"parameters": {
"url": "={{ $json.response_url }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "YNGfdvlUgXAdpYmm",
"name": "fal.ai"
}
},
"typeVersion": 4.2
},
{
"id": "9c32b6be-05eb-48a9-968d-f673319a1f35",
"name": "循环器",
"type": "n8n-nodes-base.set",
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"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "845af529-04e4-4a77-ad42-c2a3025148da",
"name": "step",
"type": "number",
"value": "={{ $json.step }}"
},
{
"id": "e1c5b7af-8520-45c6-a1e7-da832f711b0f",
"name": "complete",
"type": "number",
"value": "={{ $json.complete }}"
},
{
"id": "f4f5df61-7c8b-4813-a52b-3a22e69c0dda",
"name": "mediaURL",
"type": "string",
"value": "={{ $json.videoURL }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "54b5193b-cec6-419a-a204-231216ae30e6",
"name": "如果",
"type": "n8n-nodes-base.if",
"position": [
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],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "4c895d90-e8bd-42cf-ab58-511c85e8c782",
"operator": {
"type": "number",
"operation": "equals"
},
"leftValue": "={{ $json.data.successFlag }}",
"rightValue": 1
}
]
}
},
"typeVersion": 2.2
},
{
"id": "329b7b4d-695e-4738-b0ce-da111db8d412",
"name": "便签15",
"type": "n8n-nodes-base.stickyNote",
"position": [
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],
"parameters": {
"color": 3,
"width": 432,
"height": 96,
"content": "## 步骤 4：生成下一个场景"
},
"typeVersion": 1
},
{
"id": "9bd6af1d-e54a-4165-bd16-30a980e06ef6",
"name": "便签16",
"type": "n8n-nodes-base.stickyNote",
"position": [
1584,
560
],
"parameters": {
"color": 7,
"width": 496,
"height": 96,
"content": "## 步骤 5：添加场景并递增步骤"
},
"typeVersion": 1
},
{
"id": "d110f12c-db72-4d81-a576-f0cf68557e80",
"name": "合并片段",
"type": "n8n-nodes-base.httpRequest",
"position": [
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656
],
"parameters": {
"url": "https://queue.fal.run/fal-ai/ffmpeg-api/merge-videos",
"method": "POST",
"options": {},
"jsonBody": "={\n \"video_urls\": [\"{{ $('Initial Values').item.json.videoURL }}\",{{ $json.sceneURL.map(url => `\"${url}\"`) }}]\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
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"name": "fal.ai"
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},
{
"id": "f5d56aff-6620-46e2-9773-a72dc2c6c414",
"name": "获取最终视频",
"type": "n8n-nodes-base.httpRequest",
"position": [
2064,
656
],
"parameters": {
"url": "={{ $('Combine Clips').first().json.response_url }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "YNGfdvlUgXAdpYmm",
"name": "fal.ai"
}
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"typeVersion": 4.2
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{
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"name": "聚合",
"type": "n8n-nodes-base.aggregate",
"position": [
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656
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "sceneURL"
}
]
}
},
"typeVersion": 1
},
{
"id": "cd97d8fc-6f46-4f4a-a20e-00def5dc01d1",
"name": "获取输入",
"type": "n8n-nodes-base.googleSheets",
"position": [
304,
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],
"parameters": {
"options": {},
"filtersUI": {
"values": [
{
"lookupValue": "for production",
"lookupColumn": "status"
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit?usp=drivesdk",
"cachedResultName": "Copy of [Template] Veo3 - Narrative Chaining by RoboNuggets"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "QAjXHWGg9aLQ9IOb",
"name": "Google Sheets account 3"
}
},
"typeVersion": 4.7
},
{
"id": "30479907-33a4-40e5-bad6-0cc48d8f9532",
"name": "初始值",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "845af529-04e4-4a77-ad42-c2a3025148da",
"name": "step",
"type": "number",
"value": "=1"
},
{
"id": "e1c5b7af-8520-45c6-a1e7-da832f711b0f",
"name": "complete",
"type": "number",
"value": "={{ $json['clips to add'] }}"
},
{
"id": "f4f5df61-7c8b-4813-a52b-3a22e69c0dda",
"name": "videoURL",
"type": "string",
"value": "={{ $json.videoURL }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "885aa3d0-807d-47e9-81b5-fd8f74442693",
"name": "请求最后",
"type": "n8n-nodes-base.httpRequest",
"position": [
1120,
304
],
"parameters": {
"url": "https://queue.fal.run/fal-ai/ffmpeg-api/extract-frame",
"method": "POST",
"options": {},
"jsonBody": "={\n \"video_url\": \"{{ $('Looper').item.json.mediaURL }}\",\n \"frame_type\": \"last\"\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "YNGfdvlUgXAdpYmm",
"name": "fal.ai"
}
},
"typeVersion": 4.2
},
{
"id": "7cb35806-fe25-4c6f-96bc-a07fd7c7f1f4",
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"type": "n8n-nodes-base.httpRequest",
"position": [
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],
"parameters": {
"url": "={{ $json.response_url }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "YNGfdvlUgXAdpYmm",
"name": "fal.ai"
}
},
"typeVersion": 4.2
},
{
"id": "18296134-a54a-440b-8847-872822220d95",
"name": "获取视频",
"type": "n8n-nodes-base.httpRequest",
"position": [
1344,
432
],
"parameters": {
"url": "=https://api.kie.ai/api/v1/veo/record-info",
"options": {},
"sendQuery": true,
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"queryParameters": {
"parameters": [
{
"name": "taskId",
"value": "={{ $('Create Video').item.json.data.taskId }}"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "JVHkxczNxnf3q6PE",
"name": "Kie.ai"
}
},
"typeVersion": 4.2
},
{
"id": "65a60a8c-5fb2-4a01-b782-b5d2328c6a15",
"name": "创建视频",
"type": "n8n-nodes-base.httpRequest",
"position": [
1120,
432
],
"parameters": {
"url": "https://api.kie.ai/api/v1/veo/generate",
"body": "={\n \"prompt\":\"{{ $('ExtendRobo AI Agent').item.json.output.video_prompt.replace(/\\n/g, '\\\\n').replace(/\"/g, '\\\\\"') }}\",\n \"model\": \"{{ $('ExtendRobo AI Agent').item.json.output.model }}\",\n \"aspectRatio\": \"{{ $('ExtendRobo AI Agent').item.json.output.aspect_ratio_video }}\",\n \"imageUrls\": \"{{ $json.images[0].url }}\"\n}\n",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "raw",
"authentication": "genericCredentialType",
"rawContentType": "application/json",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "JVHkxczNxnf3q6PE",
"name": "Kie.ai"
}
},
"typeVersion": 4.2
},
{
"id": "b04e2a3a-365a-41d6-ac63-4843bb2b4272",
"name": "添加场景",
"type": "n8n-nodes-base.googleSheets",
"position": [
1232,
560
],
"parameters": {
"columns": {
"value": {
"scene": "={{ $('Looper').item.json.step }}",
"prompt": "={{ $('ExtendRobo AI Agent').item.json.output.video_prompt }}",
"sceneURL": "={{ $json.data.response.resultUrls[0] }}",
"row_number": 0
},
"schema": [
{
"id": "scene",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "scene",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "prompt",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "sceneURL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "sceneURL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"scene"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 423194450,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1x65wzvPcZAahQsegZ8h99Qh3boI5xRNymx-gtlE9QEU/edit#gid=423194450",
"cachedResultName": "Sheet2"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit?usp=drivesdk",
"cachedResultName": "Copy of [Template] Veo3 - Narrative Chaining by RoboNuggets"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "QAjXHWGg9aLQ9IOb",
"name": "Google Sheets account 3"
}
},
"typeVersion": 4.6
},
{
"id": "244af354-5da7-4093-85f1-c0fa389fcc3f",
"name": "递增步骤",
"type": "n8n-nodes-base.set",
"position": [
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],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "845af529-04e4-4a77-ad42-c2a3025148da",
"name": "step",
"type": "number",
"value": "={{ $('Looper').first().json.step + 1}}"
},
{
"id": "e1c5b7af-8520-45c6-a1e7-da832f711b0f",
"name": "complete",
"type": "number",
"value": "={{ $('Looper').first().json.complete }}"
},
{
"id": "7486f15a-a92c-46c1-a77f-375c970e3c77",
"name": "videoURL",
"type": "string",
"value": "={{ $json.sceneURL }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "1cf3a44f-0a82-4373-8255-3c281a1554a7",
"name": "如果完成",
"type": "n8n-nodes-base.if",
"position": [
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],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "a4b84c6a-c477-4929-a527-c70201b829d4",
"operator": {
"type": "number",
"operation": "lt"
},
"leftValue": "={{ $json.complete }}",
"rightValue": "={{ $json.step }}"
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "b8826c38-ccfd-4257-9927-fd876fd24a4d",
"name": "ExtendRobo AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1168,
176
],
"parameters": {
"text": "=Your task: Create a video prompt as guided by your system guidelines.\n\nYou are about to create the video prompt for Scene {{ $('Looper').first().json.step }}, out of a total of {{ $('Looper').first().json.complete }} scenes\n\n\n***\nThe user's preferred narrative theme (if any): {{ $('Get input').first().json['narrative theme'] }}\n\nThe user's preferred aspect ratio: {{ $('Get input').first().json['aspect ratio'] }}\n\nThe user's preferred model: {{ $('Get input').first().json.model }}\n\nAny special requests by the user: {{ $('Get input').first().json['any special requests'] }}\n\n***\nUse the Think tool to double check your output\n\n\n***\n\n\nHere's what happens in the preceding video \n{{ $json.output }}\n\n",
"options": {
"systemMessage": "=system_prompt: |\n ## SYSTEM PROMPT: Scene Continuation Prompt Generator (Video-Only, General Use)\n\n You are a scene continuation AI agent. \n Your task: Take the preceding video description and generate the scene, following user intent, style, and narrative progression. Make sure to generate the prompt with the ending seconds of the previous scene in mind.\n\n A – Ask:\n Generate **only video generation instructions** for AI models (no image prompts). Infer aspect ratios from vertical/horizontal context; default to vertical if unspecified.\n\n\n G – Guidance:\n\n - Make sure you consider consistency with the music style, camera, camera movement, and other elements from the previous scene when generating the prompt\n - If the user describes what happens per scene, make sure you just follow the instructions specific to this scene you are ideating for\n - Focus the prompt to consider what happens in the very last frame as described in the video\n - Always define the type of camera being used (example: Canon EOS, Gopro, iphone). and camera movement (be consistent with previous scene)\n - The actions defined in the scene are always simple. Avoid overly complex action prompts. Max of 250 characters for the action.\n - ALways describe the music if preceding scene has music\n - ALways describe the dialogue if preceding scene has dialogue (make sure accent of person is the same)\n - The video prompt is ALWAYS in stringified YAML format. Suggest the element parameters based on the user request\n - Avoid mentioning any copyrighted character, persons, or brands in the prompt. Just describe them if needed\n - Avoid terms in the prompt that may trigger a content policy flag. Like child, childlike, minor, young person, girl, boy, 14 year old, and so on. Instead of using those terms, just say \"character\".\n - Avoid including prompts with text overlays or subtitles. \n - Align each new scene with the progression of the previous video.\n - Follow any user-supplied dialogue, action requests, or performance details.\n - Use consistent characters, camera style, and tone when applicable.\n - Never use double quotes in prompts.\n\"notes\": [\n \"- Aspect ratio can only be 9:16 or 16:9\",\n \"- Model can only be veo3_fast or veo3\"\n\n E – Examples:\n 🟢 good_examples:\n - |\n {\n \"scenes\": [\n {\n \"video_prompt\": \"prompt in yaml format based on previous video and user request\",\n \"aspect_ratio_video\": \"[choose: 9:16, 16:9]\",\n \"model\": \"[choose: veo3_fast, veo3]\"\n }\n ]\n}\n\n\n N – Notation:\n format: JSON\n example_output: |\n {\n \"scenes\": [\n {\n \"video_prompt\": \"dialogue: [text]\\naction: [text]\\ncamera: [text]\\nemotion: [text]\\ntype: [model]\",\n \"aspect_ratio_video\": \"9:16\",\n \"model\": \"veo3_fast\"\n }\n ]\n }\n\n T – Tools:\n - Think Tool: Use this to check continuity from the previous scene, alignment with user intent, realism or stylization as needed, and that the output count matches exactly.\n"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
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{
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{
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"type": "n8n-nodes-base.wait",
"position": [
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"webhookId": "0c593731-cba8-4727-ada7-c1994b8b241f",
"parameters": {
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{
"id": "2a476a33-9514-4122-9833-70ad865086c5",
"name": "获取场景",
"type": "n8n-nodes-base.googleSheets",
"position": [
1616,
656
],
"parameters": {
"options": {
"dataLocationOnSheet": {
"values": {
"range": "C:C",
"rangeDefinition": "specifyRangeA1"
}
}
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": 423194450,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit#gid=423194450",
"cachedResultName": "Sheet2"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit?usp=drivesdk",
"cachedResultName": "Copy of [Template] Veo3 - Narrative Chaining by RoboNuggets"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "QAjXHWGg9aLQ9IOb",
"name": "Google Sheets account 3"
}
},
"typeVersion": 4.7
},
{
"id": "b838eda5-8848-4974-9a4c-b19d2af69eb7",
"name": "等待 3",
"type": "n8n-nodes-base.wait",
"position": [
1952,
656
],
"webhookId": "16d20188-f627-47eb-88d2-383ddc68b0c2",
"parameters": {
"amount": 60
},
"typeVersion": 1.1
},
{
"id": "7e850ef2-14ce-473f-a595-6d12f55656f9",
"name": "更新日志",
"type": "n8n-nodes-base.googleSheets",
"position": [
2176,
656
],
"parameters": {
"columns": {
"value": {
"id": "={{ $('Get input').item.json.id }}",
"status": "done",
"outputURL": "={{ $json.video.url }}",
"row_number": 0
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "id",
"defaultMatch": true,
"canBeUsedToMatch": true
},
{
"id": "videoURL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "videoURL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "clips to add",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "clips to add",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "aspect ratio",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "aspect ratio",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "narrative theme",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "narrative theme",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "model",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "model",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "any special requests",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "any special requests",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "status",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "outputURL",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "outputURL",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "row_number",
"type": "number",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "row_number",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update",
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1x65wzvPcZAahQsegZ8h99Qh3boI5xRNymx-gtlE9QEU/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit?usp=drivesdk",
"cachedResultName": "Copy of [Template] Veo3 - Narrative Chaining by RoboNuggets"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "QAjXHWGg9aLQ9IOb",
"name": "Google Sheets account 3"
}
},
"typeVersion": 4.7
},
{
"id": "e64a05ad-90ea-4bf3-803c-19c69c1ce5ec",
"name": "结构化输出",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
928,
576
],
"parameters": {
"autoFix": true,
"jsonSchemaExample": "{\n \"video_prompt\": \"detailed stringified YAML prompt here\",\n \"aspect_ratio_video\": \"9:16\",\n \"model\": \"veo3_fast\"\n}\n"
},
"typeVersion": 1.3
},
{
"id": "9e804535-6887-416d-b035-b15dd6318004",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
160,
-96
],
"parameters": {
"color": 4,
"width": 1776,
"height": 176,
"content": "# - Veo3 叙事链"
},
"typeVersion": 1
},
{
"id": "fee1229e-65f6-4e5f-9b17-9b525c659eb7",
"name": "执行",
"type": "n8n-nodes-base.manualTrigger",
"position": [
160,
48
],
"parameters": {},
"typeVersion": 1
},
{
"id": "092668d1-5aed-4366-bd7f-b44cf6aaf417",
"name": "清除场景",
"type": "n8n-nodes-base.googleSheets",
"position": [
416,
48
],
"parameters": {
"clear": "specificRange",
"range": "B2:C20",
"operation": "clear",
"sheetName": {
"__rl": true,
"mode": "list",
"value": 423194450,
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit#gid=423194450",
"cachedResultName": "Sheet2"
},
"documentId": {
"__rl": true,
"mode": "list",
"value": "1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1tNGBG0fTJWynnmiNN_uu1mt1l47HiVhE1CR3Z3_Zt34/edit?usp=drivesdk",
"cachedResultName": "Copy of [Template] Veo3 - Narrative Chaining by RoboNuggets"
}
},
"credentials": {
"googleSheetsOAuth2Api": {
"id": "QAjXHWGg9aLQ9IOb",
"name": "Google Sheets account 3"
}
},
"typeVersion": 4.7
},
{
"id": "e51a5c61-d9d9-4e0a-9009-7d29f1518131",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-432,
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],
"parameters": {
"width": 528,
"height": 1392,
"content": "结构化设置指南：使用 N8N + AI 进行叙事链"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "ff67c217-97a8-44e0-a091-a4c60cc6fb47",
"connections": {
"GPT": {
"ai_languageModel": [
[
{
"node": "ExtendRobo AI Agent",
"type": "ai_languageModel",
"index": 0
},
{
"node": "Structured Output",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"If ": {
"main": [
[
{
"node": "Add scene",
"type": "main",
"index": 0
}
],
[
{
"node": "Wait 2",
"type": "main",
"index": 0
}
]
]
},
"Think": {
"ai_tool": [
[
{
"node": "ExtendRobo AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Wait ": {
"main": [
[
{
"node": "Get Analysis",
"type": "main",
"index": 0
}
]
]
},
"Looper": {
"main": [
[
{
"node": "Analyze Video",
"type": "main",
"index": 0
}
]
]
},
"Wait 1": {
"main": [
[
{
"node": "Get last",
"type": "main",
"index": 0
}
]
]
},
"Wait 2": {
"main": [
[
{
"node": "Get Video",
"type": "main",
"index": 0
}
]
]
},
"Wait 3": {
"main": [
[
{
"node": "Get Final Video",
"type": "main",
"index": 0
}
]
]
},
"Execute": {
"main": [
[
{
"node": "Get input",
"type": "main",
"index": 0
}
]
]
},
"Get last": {
"main": [
[
{
"node": "Create Video",
"type": "main",
"index": 0
}
]
]
},
"Add scene": {
"main": [
[
{
"node": "Increment step",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Combine Clips",
"type": "main",
"index": 0
}
]
]
},
"Get Video": {
"main": [
[
{
"node": "If ",
"type": "main",
"index": 0
}
]
]
},
"Get input": {
"main": [
[
{
"node": "Clear scenes",
"type": "main",
"index": 0
}
]
]
},
"Get scenes": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"If complete": {
"main": [
[
{
"node": "Get scenes",
"type": "main",
"index": 0
}
],
[
{
"node": "Looper",
"type": "main",
"index": 0
}
]
]
},
"Clear scenes": {
"main": [
[
{
"node": "Initial Values",
"type": "main",
"index": 0
}
]
]
},
"Create Video": {
"main": [
[
{
"node": "Wait 2",
"type": "main",
"index": 0
}
]
]
},
"Get Analysis": {
"main": [
[
{
"node": "ExtendRobo AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Request last": {
"main": [
[
{
"node": "Wait 1",
"type": "main",
"index": 0
}
]
]
},
"Analyze Video": {
"main": [
[
{
"node": "Wait ",
"type": "main",
"index": 0
}
]
]
},
"Combine Clips": {
"main": [
[
{
"node": "Wait 3",
"type": "main",
"index": 0
}
]
]
},
"Increment step": {
"main": [
[
{
"node": "If complete",
"type": "main",
"index": 0
}
]
]
},
"Initial Values": {
"main": [
[
{
"node": "Looper",
"type": "main",
"index": 0
}
]
]
},
"Get Final Video": {
"main": [
[
{
"node": "Update log",
"type": "main",
"index": 0
}
]
]
},
"Structured Output": {
"ai_outputParser": [
[
{
"node": "ExtendRobo AI Agent",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"ExtendRobo AI Agent": {
"main": [
[
{
"node": "Request last",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
这是一个高级难度的工作流，适用于Content Creation、Multimodal AI等场景。适合高级用户，包含 16+ 个节点的复杂工作流
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
高级
节点数量35
分类2
节点类型12
作者
Deniz
@denizdincI am an AI adviser and builder specializing in creating intelligent workflows with n8n. With a focus on integrating AI into everyday business processes, I help companies streamline operations, automate complex tasks, and unlock new growth opportunities through smart automation.
外部链接
在 n8n.io 上查看 →
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