Dr. Firas This workflow corresponds to n8n.io template #13015 — we link there as the canonical source.
This workflow follows the Agent → Airtable recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "QcnXDa3aRYDdQxDN",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "\ud83d\udca5 Clone Video Ads Factory using NanoBanana, Kling and Publish with Blotato",
"tags": [],
"nodes": [
{
"id": "0f7bcb5d-3e15-47b6-a743-fc7c013a0bc7",
"name": "Manual Trigger",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-5648,
560
],
"parameters": {},
"typeVersion": 1
},
{
"id": "5e12b2a6-53e2-4ed3-b22c-855b8946480c",
"name": "Setup Workflow",
"type": "n8n-nodes-base.set",
"position": [
-5424,
560
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "id-1",
"name": "maxScenes",
"type": "number",
"value": 3
},
{
"id": "id-2",
"name": "musicStyle",
"type": "string",
"value": ""
},
{
"id": "id-3",
"name": "language",
"type": "string",
"value": "en"
},
{
"id": "id-4",
"name": "airtableBaseId",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Base ID__>"
},
{
"id": "b3d3b1e3-3456-4dd3-bfae-1c4583f08eba",
"name": "airtableTableId",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Table ID__>"
},
{
"id": "id-5",
"name": "airtableTableName",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Table Name__>"
},
{
"id": "id-6",
"name": "statusField",
"type": "string",
"value": "status"
},
{
"id": "id-7",
"name": "statusValue",
"type": "string",
"value": "Todo"
},
{
"id": "id-8",
"name": "videoUrlField",
"type": "string",
"value": "video"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "cf791d65-aff9-4602-8062-e478a6f8f26a",
"name": "Search Airtable for Record",
"type": "n8n-nodes-base.airtable",
"position": [
-5200,
560
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow').item.json.airtableBaseId }}"
},
"limit": 1,
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow').item.json.airtableTableName }}"
},
"options": {},
"operation": "search",
"returnAll": false,
"filterByFormula": "={{ '{' + $('Setup Workflow').item.json.statusField + '}=\"' + $('Setup Workflow').item.json.statusValue + '\"' }}"
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "17573595-e1c8-43ea-a4ec-1e7d49e42f0c",
"name": "Check if Record Found",
"type": "n8n-nodes-base.if",
"position": [
-4976,
560
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": false,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "id-1",
"operator": {
"type": "string",
"operation": "exists"
},
"leftValue": "={{ $json.id }}"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "b719ca52-e281-47cb-8bbb-ce1682076225",
"name": "Generate Creative Assets JSON",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-4208,
560
],
"parameters": {
"text": "=Generate creative production prompts based on this video.\n\nThe full video analysis is:\n{{ $json.content.parts[0].text }}\n\n***\n\nThe user request for this project is:\n{{ $('Search Airtable for Record').item.json['My Description'] }}\n\n***\n\nThe reference images provided by the user are:\n\nAvatar image:\n{{ $('Search Airtable for Record').item.json['Avatar Image'][0].url }}\n\nProduct image:\n{{ $('Search Airtable for Record').item.json['Product Image'][0].url }}\n\n(Note: if a field is blank, it means no reference image was provided)\n\n***\n\nYour task is to generate **structured, high-quality AI prompts** for content creation, including:\n\n- One music generation prompt \n- One global video title \n- One global video caption \n- Scene titles for each scene \n- Image generation prompts for each scene \n- Video generation prompts for each scene \n\nAll outputs must be:\n- Cinematic \n- Visually coherent \n- Consistent with the video analysis \n- Aligned with the user request \n- Visually consistent with the avatar and product reference images \n- High-quality \n- Production-ready \n- Optimized for AI generation systems (image, video, music models)\n\nUse the video analysis as the **structural base**. \nUse the user request as the **creative direction**. \nUse the reference images as **visual identity constraints**.\n\nGenerate prompts that are:\n- Precise \n- Descriptive \n- Cinematic \n- Structured \n- Non-generic \n- Non-repetitive \n- Non-abstract \n- Non-vague \n\nDo not explain your reasoning. \nDo not add commentary. \nDo not add extra text. \nOnly generate the creative prompts.\n",
"options": {
"systemMessage": "=### STRICT JSON OUTPUT CONSTRAINTS\n- Output **ONLY** a valid JSON object.\n- Do NOT wrap in markdown or code fences.\n- Do NOT add any extra keys beyond the schema.\n- Do NOT add any leading/trailing text.\n- All strings must use double quotes.\n- The value of `scenes` must be an array of objects with ONLY: `scene`, `start_image_prompt`, `video_prompt`.\n- If unsure about any value, use `\"unclear\"` (still as a string).\n\n\n# \ud83e\udde0 SYSTEM PROMPT \u2014 SEALCam Ad Scene Generator Agent (JSON Schema Mode)\n\nYou are a **multimedia ad director and prompt engineering agent**. \nYour role is to transform structured scene analysis into a **complete cinematic ad package** using the **SEALCam Framework**, with **strict JSON schema output** and **deterministic mapping** (no free-form generation).\n\nYou are operating in **schema-driven mode**:\n- No creative paraphrasing \n- No stylistic rewriting \n- No semantic variation \n- No generative phrasing \n- No synonyms \n- No interpretation \n- No expansion \n- No abstraction \n\nYou must **map data \u2192 structure**, not invent language. \nThis is a **data-to-schema transformation agent**, not a creative agent.\n\n---\n\n## INPUTS YOU WILL RECEIVE\n\n- A YAML object named: `video_analysis` \n Structure:\n - `music_analysis`\n - `script_transcript`\n - `scenes.Scene_1 ... Scene_N`\n - Each scene contains:\n - `description`\n - `SEALCam`:\n - `S`\n - `E`\n - `A`\n - `L`\n - `Ca`\n - `M`\n\n- Optional:\n - Reference image(s)\n - Visual board\n\n---\n\n# \ud83c\udfaf OBJECTIVE\n\nTransform `video_analysis` into **EXACTLY ONE JSON object** with:\n\n1. `script` \u2192 mapped voiceover \n2. `music_prompt` \u2192 mapped music description \n3. `scenes` \u2192 ordered list of scene objects derived from input scenes \n\n\u26a0\ufe0f The number of output scenes **MUST EXACTLY MATCH** the number of input scenes.\n\nNo scene creation. \nNo scene merging. \nNo scene deletion. \nNo re-ordering.\n\n---\n\n# \ud83d\udce6 OUTPUT FORMAT (STRICT JSON ONLY)\n\nOutput **ONLY valid JSON**. \nNo markdown. \nNo commentary. \nNo explanations. \nNo code blocks. \nNo emojis. \nNo natural language. \nNo formatting outside JSON.\n\n---\n\n# \ud83e\uddfe JSON SCHEMA (MANDATORY)\n\n{\n \"script\": \"string\",\n \"music_prompt\": \"string\",\n \"scenes\": [\n {\n \"scene\": \"Scene X - Title\",\n \"start_image_prompt\": \"string\",\n \"video_prompt\": \"string\"\n }\n ]\n}\n\n---\n\n# \ud83e\udde0 STRICT FIELD MAPPING RULES\n\n## 1) script\n\nSource:\n- `video_analysis.script_transcript`\n- `video_analysis.scenes[*].description`\n\nRules:\n- If `script_transcript` \u2260 \"No script\" \u2192 copy **verbatim** into `script`\n- If `script_transcript` = \"No script\" \u2192 generate script by **concatenating scene descriptions** in order \n- Output must be:\n - ONE continuous block of text \n - No labels \n - No formatting \n - No bullet points \n - No line breaks \n - Use `...` for pauses \n - No quotation marks \n\n---\n\n## 2) music_prompt\n\nSource:\n- `video_analysis.music_analysis`\n\nMapping rule:\nConcatenate fields in this exact order:\ngenre \ntempo \nrhythm \ndynamics \ninstrumentation \nmix_density \npacing \n\nFormat:\nSingle string, comma-separated, no adjectives added, no creative text.\n\nExample:\n\"genre: X, tempo: X, rhythm: X, dynamics: X, instrumentation: X, mix_density: X, pacing: X\"\n\nRules:\n- No interpretation \n- No expansion \n- No rewriting \n- No emotional inference \n- No stylistic wording \n\n---\n\n# \ud83c\udfac SCENE OBJECT MAPPING (STRICT)\n\nEach input scene \u2192 ONE output scene object\n\nRules:\n- No scene creation \n- No merging \n- No deletion \n- No reordering \n- No abstraction \n- No reinterpretation \n\n---\n\n## scene field\n\nFormat **EXACTLY**:\n\"Scene X - Title\"\n\nRules:\n- X = scene number \n- Title generated ONLY from scene description keywords \n- 2\u20134 words \n- Visual \n- Descriptive \n- No punctuation \n- No abstraction \n- No metaphor \n- No invented language \n- No stylistic adjectives \n\n---\n\n# \ud83d\uddbc\ufe0f start_image_prompt (STRICT STRING TEMPLATE)\n\nThis is a **TEMPLATE RENDER**, not generation.\n\nIf reference images exist, FIRST LINE MUST BE:\nIf relevant for the prompt below, use the reference images provided for the character and/or product and Create ONE single image only. No collage, no grid, no multi-panel, no storyboard, no split-screen, no contact sheet.\n\nIf relevant for the prompt below, use the reference images provided for the character and/or product\nSubject: Man with Avatar face wearing third outfit from product image, BMX bike\nEnvironment: Rooftop helipad, Los Angeles cityscape background\nAction: Walking beside the BMX bike, confident pose\nLighting: Natural daylight, soft shadows, late afternoon\nCamera: Medium wide shot, low angle, static, 24mm wide lens\nMetatokens: cinematic, photorealistic, commercial, desaturated grade, high detail, 9:16 vertical, single frame\n\n\nThen EXACT structure:\nSubject: {map from SEALCam.S} \nEnvironment: {map from SEALCam.E} \nAction: {map from SEALCam.A} \nLighting: {map from SEALCam.L} \nCamera: {map from SEALCam.Ca} \nMetatokens: {map from SEALCam.M}\n\nRules:\n- SINGLE string \n- Use `\\n` for line breaks \n- No extra text \n- No rephrasing \n- No synonyms \n- No rewriting \n- No creative language \n- Direct value mapping only \n- Join arrays with `, ` \n- Preserve wording \n- Preserve order \n- Preserve technical phrasing \n- No enrichment \n- No abstraction \n\n---\n\n# \ud83c\udfa5 video_prompt (STRICT STRING TEMPLATE)\n\nSame mapping as `start_image_prompt`.\n\nEXACT structure:\nSubject: {map from SEALCam.S} \nEnvironment: {map from SEALCam.E} \nAction: {map from SEALCam.A} \nLighting: {map from SEALCam.L} \nCamera: {map from SEALCam.Ca} \nMetatokens: {map from SEALCam.M}\n\nRules:\n- SINGLE string \n- Use `\\n` for line breaks \n- No extra text \n- No generation \n- No creative additions \n- No semantic variation \n- No interpretation \n- No expansion \n- No rewriting \n- No enrichment \n- No abstraction \n\n---\n\n# \ud83d\udd12 CORE CONSTRAINTS\n\n- Scene data is the **ONLY source of truth**\n- Do NOT invent:\n - subjects\n - props\n - brands\n - environments\n - objects\n - text\n - actions\n- Do NOT paraphrase \n- Do NOT summarize \n- Do NOT stylize \n- Do NOT beautify \n- Do NOT interpret \n- Do NOT generalize \n- Do NOT enrich \n- Do NOT abstract \n- Do NOT infer \n\nThis is **schema mapping**, not creative writing.\n\n---\n\n# \ud83e\uddec SEALCam FRAMEWORK (SOURCE OF TRUTH)\n\nMapping source fields:\n- `S` \u2192 Subject \n- `E` \u2192 Environment \n- `A` \u2192 Action \n- `L` \u2192 Lighting \n- `Ca` \u2192 Camera \n- `M` \u2192 Metatokens \n\n---\n\n# \ud83e\udde0 INTERNAL MODE (INVISIBLE)\n\nMode: `deterministic_mapper`\n\nPurpose:\n- schema mapping \n- data transformation \n- structured rendering \n- format stability \n- pipeline safety \n- reproducibility \n\nDo NOT expose reasoning. \nDo NOT expose logic. \nOutput **ONLY final JSON**.\n\n---\n\n# \u2705 FINAL OBJECTIVE\n\nProduce a **deterministic, schema-driven, machine-stable JSON object** usable directly for:\n\n- image generation engines \n- video generation engines \n- music generation engines \n- n8n pipelines \n- automation workflows \n- database storage \n- content orchestration \n- prompt factories \n- AI pipelines \n- multi-agent systems \n- cinematic automation \n\nThis is a **production pipeline prompt**, not a creative prompt.\n"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 3.1
},
{
"id": "c53be15d-68a8-4171-a20e-3a3f8969e7b3",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-4224,
784
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {},
"builtInTools": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "89637888-2747-4bc7-bfba-baccca4c43af",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
-4064,
784
],
"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"object\",\n \"additionalProperties\": false,\n \"required\": [\"script\", \"music_prompt\", \"scenes\"],\n \"properties\": {\n \"script\": {\n \"type\": \"string\",\n \"description\": \"One continuous voiceover script (no labels, no bullets).\"\n },\n \"music_prompt\": {\n \"type\": \"string\",\n \"description\": \"Deterministic music prompt string built from music_analysis fields.\"\n },\n \"scenes\": {\n \"type\": \"array\",\n \"minItems\": 1,\n \"description\": \"One output scene per input scene, in the same order.\",\n \"items\": {\n \"type\": \"object\",\n \"additionalProperties\": false,\n \"required\": [\"scene\", \"start_image_prompt\", \"video_prompt\"],\n \"properties\": {\n \"scene\": {\n \"type\": \"string\",\n \"description\": \"Format: 'Scene X - Title' (Title is 2\u20134 words).\"\n },\n \"start_image_prompt\": {\n \"type\": \"string\",\n \"description\": \"Single string. If reference images exist, first line must be the required sentence. Then 6 lines with keys Subject/Environment/Action/Lighting/Camera/Metatokens separated by \\\\n.\"\n },\n \"video_prompt\": {\n \"type\": \"string\",\n \"description\": \"Single string with 6 lines: Subject/Environment/Action/Lighting/Camera/Metatokens separated by \\\\n.\"\n }\n }\n }\n }\n }\n}\n"
},
"typeVersion": 1.3
},
{
"id": "38c61a5e-10a3-4ddb-98d2-52de8877a6ee",
"name": "Split Out Scenes",
"type": "n8n-nodes-base.splitOut",
"position": [
-3856,
576
],
"parameters": {
"options": {},
"fieldToSplitOut": "scenes, output.scenes"
},
"typeVersion": 1
},
{
"id": "f3bea733-5765-4fd7-95c0-8af4a6eb6087",
"name": "Update Main Record",
"type": "n8n-nodes-base.airtable",
"position": [
-3856,
768
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow').first().json.airtableBaseId }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow').first().json.airtableTableId }}"
},
"columns": {
"value": {
"id": "={{ $('Search Airtable for Record').item.json.id }}",
"Script": "={{ $json.output.script }}",
"Status": "In progress",
"Music Prompt": "={{ $json.output.music_prompt }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Project",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Project",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "options",
"display": true,
"options": [
{
"name": "Todo",
"value": "Todo"
},
{
"name": "In progress",
"value": "In progress"
},
{
"name": "Done",
"value": "Done"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Original Video",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Original Video",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Avatar Image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Avatar Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Product Image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Product Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "My Description",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "My Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Format",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Format",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Script",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Script",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Music Prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Music Prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Music File",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Music File",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "scene_Title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "scene_Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "start_image_prompt",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "start_image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "start_image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "start_image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_prompt",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "video_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_scene",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "video_scene",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update"
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "af0c097c-24ab-43d1-8a80-1bdec0f8d492",
"name": "Write Scene Data",
"type": "n8n-nodes-base.airtable",
"position": [
-3632,
576
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow').first().json.airtableBaseId }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow').first().json.airtableTableId }}"
},
"columns": {
"value": {
"Status": "Prompt ready",
"Project": "={{ $('Search Airtable for Record').item.json.Project }}",
"scene_Title": "={{ $json['output.scenes'].scene }}",
"video_prompt": "={{ $json['output.scenes'].video_prompt }}",
"start_image_prompt": "={{ $json['output.scenes'].start_image_prompt }}"
},
"schema": [
{
"id": "Project",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Project",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "options",
"display": true,
"options": [
{
"name": "Todo",
"value": "Todo"
},
{
"name": "In progress",
"value": "In progress"
},
{
"name": "Done",
"value": "Done"
},
{
"name": "Prompt ready",
"value": "Prompt ready"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Original Video",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Original Video",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Avatar Image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Avatar Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Product Image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Product Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "My Description",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "My Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Format",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Format",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Script",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Script",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Music Prompt",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Music Prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Music File",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Music File",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "scene_Title",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "scene_Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "start_image_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "start_image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "start_image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "start_image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_prompt",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "video_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_scene",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "video_scene",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "create"
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "151819ee-b031-4b4a-b630-8b84ff9e8a4b",
"name": "Analyze video",
"type": "@n8n/n8n-nodes-langchain.googleGemini",
"position": [
-4752,
560
],
"parameters": {
"text": "=# SYSTEM PROMPT \u2014 SEALCam Video Scene Analyzer (v2.3 FINAL)\n\nYou are a professional **video analysis agent** specializing in **cinematic, commercial, and digital media breakdowns**.\n\nYour task is to analyze the provided **video input** and deconstruct it into **structured, sequential scenes** using the **SEALCam Framework**, expressed strictly in **cinema, cinematography, and photography terminology**.\n\nYou are an **analytical system**, not a storyteller. \nNo interpretation, no symbolism, no narrative tone, no emotional language unless **directly implied by audiovisual structure** (tempo, rhythm, lighting, pacing, composition).\n\n---\n\n## SCENE LIMIT RULE (MANDATORY)\n\nYou must generate **a maximum of**:\n{{ $('Setup Workflow').item.json.maxScenes }}\n\nscenes.\n\nIf the video contains more logical segments, you must **cluster similar shots into unified scenes** (montage grouping) instead of creating new scenes.\n\n---\n\n## OUTPUT FORMAT (STRICT YAML ONLY)\n\nOutput **ONLY valid YAML**. \nNo introduction text. \nNo explanations. \nNo commentary. \nNo code fences. \nNo ```yaml. \nNo extra characters.\n\nvideo_analysis:\n\nmusic_analysis:\n genre:\n tempo:\n rhythm:\n dynamics:\n instrumentation:\n mix_density:\n pacing:\n\nscript_transcript:\n \"<exact transcription OR No script>\"\n\nscenes:\n Scene_1:\n description: |\n <technical cinematic description paragraph>\n\n SEALCam:\n S:\n -\n E:\n -\n A:\n -\n L:\n -\n Ca:\n -\n M:\n -\n\n Scene_2:\n ...\n\n---\n\n## MUSIC ANALYSIS RULES\n\nDescribe the music **only using technical audio + film scoring terminology**.\n\nAllowed domains:\n- genre\n- tempo\n- rhythm\n- dynamics\n- instrumentation\n- mix density\n- pacing\n\nRules:\n- No emotional language\n- No subjective interpretation\n- No narrative description\n\nIf no music is present:\nmusic_analysis: No music\n\n---\n\n## SCRIPT TRANSCRIPT RULES\n\n- Transcribe **all spoken words exactly**\n- Preserve pauses using `...`\n- No paraphrasing\n- No summarization\n- Always quoted\n\nIf no spoken audio:\n\"No script\"\n\n---\n\n## SCENE SEGMENTATION RULES (CRITICAL)\n\nCreate a **new scene only if at least ONE changes significantly**:\n- Location\n- Time of day\n- Primary subject\n- Action objective\n- Lighting setup\n- Camera grammar (angle, lens logic, movement strategy, perspective)\n\nDo NOT create new scenes for:\n- minor framing changes\n- rhythmic edits\n- repeated angles\n- repeated actions\n- micro shot variations\n- stylistic cuts\n\nGroup them into **one structured scene (montage logic)**.\n\n---\n\n## UNCERTAINTY RULE (ANTI-HALLUCINATION)\n\nIf a detail is **not clearly observable**, write:\nunclear\n\nNever guess:\n- locations\n- cities\n- brands\n- devices\n- lenses\n- weather\n- time of day\n- production intent\n- lighting sources\n- environment type\n\nNo assumptions.\n\n---\n\n## SCENE DESCRIPTION RULES\n\nEach `description` must be:\n- Technical\n- Cinematic\n- Spatial\n- Optical\n- Objective\n- Non-narrative\n- Non-emotional\n- Non-symbolic\n- Non-marketing\n\nDescribe only:\ncomposition, framing, layout, depth, motion, transitions, continuity, perspective, visual structure.\n\n---\n\n## SEALCam FRAMEWORK (MANDATORY)\n\nS \u2014 Subject \nWhat the camera is optically prioritizing.\n\nE \u2014 Environment \nThe physical or constructed space.\n\nA \u2014 Action \nObservable motion (subject + camera).\n\nL \u2014 Lighting \nLighting setup, exposure, diffusion, contrast, directionality, color temperature.\n\nCa \u2014 Camera (MINIMUM REQUIRED DETAIL)\nMust include:\n- framing size\n- angle\n- movement\n- stabilization (static / handheld / gimbal / drone / unclear)\n- lens logic (wide / normal / tele / unclear)\n- perspective\n\nM \u2014 Metatokens (MINIMUM REQUIRED DETAIL)\nMust include:\n- grading/look\n- compression/clarity\n- aspect ratio\n- production style (commercial / documentary / BTS / cinematic / unclear)\n- rendering quality\n- presentation logic\n\n---\n\n## GLOBAL CONSTRAINTS\n\n- Fully sequential scenes\n- No skipped scenes\n- No unrelated merges\n- No storytelling\n- No symbolism\n- No emotion projection\n- No marketing language\n- No audience language\n- No metaphors\n- No interpretation\n- No hallucination\n- No guessing\n- No preamble text\n- No formatting outside YAML\n\nOnly:\noptical, spatial, acoustic, cinematic, and technical analysis\n\n---\n\n## ROLE CONFIGURATION\n\nRole:\nExpert cinematographer \nFilm editor \nVisual analyst \nVisual prompt engineer \n\nOutput style:\n- High-detail\n- Technical\n- Structured\n- Deterministic\n- Production-grade\n- Machine-parsable\n- Automation-safe\n\n---\n\n## INTERNAL TOOLING (INVISIBLE)\n\nThink Tool:\nUse internal reasoning for:\n- scene boundary detection\n- montage grouping\n- shot clustering\n- camera grammar\n- lens logic\n- visual continuity\n- motion analysis\n\nDo not expose reasoning. \nOnly output final YAML.\n\n---\n\n## INPUT\n\nThe input is a **video**. \nAnalyze the full video and output **all scenes sequentially**, respecting the **max scene limit** and structure above.\n",
"modelId": {
"__rl": true,
"mode": "list",
"value": "models/gemini-2.0-flash",
"cachedResultName": "models/gemini-2.0-flash"
},
"options": {},
"resource": "video",
"operation": "analyze",
"videoUrls": "={{ $json['Original Video'][0].url }}"
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.1
},
{
"id": "02c6d2d3-1b6e-42e7-af49-4ab93a801970",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-5744,
480
],
"parameters": {
"color": 7,
"width": 2560,
"height": 480,
"content": "## STEP 1 - Create Prompt"
},
"typeVersion": 1
},
{
"id": "85145424-4d96-4804-a666-7922211740f4",
"name": "Setup Workflow 2",
"type": "n8n-nodes-base.set",
"position": [
-5440,
1120
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "id-1",
"name": "airtableBaseId",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Base ID__>"
},
{
"id": "id-2",
"name": "airtableTableId",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Table ID__>"
},
{
"id": "id-3",
"name": "airtableTableName",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Table Name__>"
},
{
"id": "id-4",
"name": "kpi_atlascloud",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__API__>"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "9fe7b4a0-f6da-4eab-9623-dc921d6ad857",
"name": "Find In Progress Record",
"type": "n8n-nodes-base.airtable",
"position": [
-5216,
1120
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 2').item.json.airtableBaseId }}"
},
"limit": 1,
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 2').item.json.airtableTableId }}"
},
"options": {},
"operation": "search",
"returnAll": false,
"filterByFormula": "{Status}=\"In progress\""
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "f03bb06f-a3d5-46c4-9f55-633c3b90ff52",
"name": "Check In Progress Found",
"type": "n8n-nodes-base.if",
"position": [
-4992,
1120
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": false,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "id-1",
"operator": {
"type": "string",
"operation": "exists"
},
"leftValue": "={{ $json.id }}"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "0aada17b-c693-428f-9157-2087b113f513",
"name": "Find Prompt Ready Records",
"type": "n8n-nodes-base.airtable",
"position": [
-4768,
1120
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 2').first().json.airtableBaseId }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 2').first().json.airtableTableId }}"
},
"options": {},
"operation": "search",
"filterByFormula": "={{ `AND({Project}=\"${$('Find In Progress Record').item.json.Project}\",{Status}=\"Prompt ready\")` }}"
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "2cf0434e-044c-426b-b414-3d028fb14182",
"name": "Loop Over Records",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-4544,
1120
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "e30a7398-c94b-4559-a93e-d0cd0d42390b",
"name": "Generate Image POST",
"type": "n8n-nodes-base.httpRequest",
"position": [
-4320,
1056
],
"parameters": {
"url": "https://api.atlascloud.ai/api/v1/model/generateImage",
"method": "POST",
"options": {},
"jsonBody": "={{\n {\n model: \"google/nano-banana-pro/edit\",\n aspect_ratio: \"9:16\",\n enable_base64_output: false,\n enable_sync_mode: false,\n images: [\n $('Find In Progress Record').item.json['Avatar Image'][0].url,\n $('Find In Progress Record').item.json['Product Image'][0].url\n ],\n output_format: \"png\",\n prompt: $('Loop Over Records').item.json.start_image_prompt,\n resolution: \"1k\"\n }\n}}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "={{ 'Bearer ' + $('Setup Workflow 2').first().json.kpi_atlascloud }}"
}
]
}
},
"typeVersion": 4.3
},
{
"id": "9de8d9ca-093c-4fb0-a077-a3423b85d059",
"name": "Wait 3 Minutes",
"type": "n8n-nodes-base.wait",
"position": [
-4096,
1056
],
"parameters": {
"unit": "minutes"
},
"typeVersion": 1.1
},
{
"id": "402f4d3d-9a6e-4bd9-95b3-12336c05af23",
"name": "Check Prediction Status GET",
"type": "n8n-nodes-base.httpRequest",
"position": [
-3872,
1056
],
"parameters": {
"url": "={{ 'https://api.atlascloud.ai/api/v1/model/prediction/' + $('Generate Image POST').item.json.data.id }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "={{ 'Bearer ' + $('Setup Workflow 2').first().json.kpi_atlascloud }}"
}
]
}
},
"typeVersion": 4.3
},
{
"id": "f98879d2-c796-4bb7-8648-75fd1d8f2cbe",
"name": "Update Record with Image",
"type": "n8n-nodes-base.airtable",
"position": [
-3648,
1120
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 2').first().json.airtableBaseId }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 2').first().json.airtableTableId }}"
},
"columns": {
"value": {
"id": "={{ $('Loop Over Records').item.json.id }}",
"Status": "Image ready",
"start_image": "={{ $json.data.outputs[0] }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Project",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Project",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "options",
"display": true,
"options": [
{
"name": "Todo",
"value": "Todo"
},
{
"name": "In progress",
"value": "In progress"
},
{
"name": "Done",
"value": "Done"
},
{
"name": "Prompt ready",
"value": "Prompt ready"
},
{
"name": "Image ready",
"value": "Image ready"
},
{
"name": "Video ready",
"value": "Video ready"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Original Video",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Original Video",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Avatar Image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Avatar Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Product Image",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Product Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "My Description",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "My Description",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Format",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Format",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Script",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Script",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Music Prompt",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Music Prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Music File",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "Music File",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "scene_Title",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "scene_Title",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "start_image_prompt",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "start_image_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "start_image",
"type": "array",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "start_image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_prompt",
"type": "string",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "video_prompt",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "video_scene",
"type": "array",
"display": true,
"removed": true,
"readOnly": false,
"required": false,
"displayName": "video_scene",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update"
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "89b05cc7-c0b0-4292-8d4f-a53717b01fb8",
"name": "Sticky Note 2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-5744,
1008
],
"parameters": {
"color": 7,
"width": 2560,
"height": 344,
"content": "## STEP 2 - Generate Images"
},
"typeVersion": 1
},
{
"id": "04efe877-cf2f-4482-86a7-b6df2f9fb9f5",
"name": "Schedule",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-5664,
1120
],
"parameters": {
"rule": {
"interval": [
{}
]
}
},
"typeVersion": 1.3
},
{
"id": "04cabe80-5ecf-4a4f-b4b5-23f30314138d",
"name": "Schedule Video Generation",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
-5664,
1504
],
"parameters": {
"rule": {
"interval": [
{
"field": "minutes"
}
]
}
},
"typeVersion": 1.3
},
{
"id": "c0826af1-4c60-43fb-8e80-7973d22ddee7",
"name": "Setup Workflow 3",
"type": "n8n-nodes-base.set",
"position": [
-5440,
1504
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "id-1",
"name": "airtableBaseId",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Base ID__>"
},
{
"id": "id-2",
"name": "airtableTableId",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Table ID__>"
},
{
"id": "id-3",
"name": "airtableTableName",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__Airtable Table Name__>"
},
{
"id": "id-4",
"name": "atlascloudApiKey",
"type": "string",
"value": "<__PLACEHOLDER_VALUE__API__>"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "fb75a047-e87b-4e8e-a2b7-226bcff3733d",
"name": "Find In Progress Project",
"type": "n8n-nodes-base.airtable",
"position": [
-5216,
1504
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 3').first().json.airtableBaseId }}"
},
"limit": 1,
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 3').first().json.airtableTableId }}"
},
"options": {},
"operation": "search",
"returnAll": false,
"filterByFormula": "{Status}=\"In progress\""
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "9b3a0e1a-3c26-4a21-8d83-1e342b25a4d0",
"name": "Check Project Found",
"type": "n8n-nodes-base.if",
"position": [
-4992,
1504
],
"parameters": {
"options": {},
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": false,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "id-1",
"operator": {
"type": "string",
"operation": "exists"
},
"leftValue": "={{ $json.id }}"
}
]
}
},
"typeVersion": 2.3
},
{
"id": "9a429654-8099-41ff-bdb7-1278c9314ed7",
"name": "Find Image Ready Records",
"type": "n8n-nodes-base.airtable",
"position": [
-4768,
1504
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 3').first().json.airtableBaseId }}"
},
"sort": {
"property": [
{
"field": "scene_Title"
}
]
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 3').first().json.airtableTableId }}"
},
"options": {},
"operation": "search",
"filterByFormula": "={{ `AND({Project}=\"${$('Find In Progress Project').item.json.Project}\",{Status}=\"Image ready\")` }}"
},
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
},
"typeVersion": 2.1
},
{
"id": "2ad178c5-1811-40ff-bc83-6e90da1ff8a6",
"name": "Create Image Pairs",
"type": "n8n-nodes-base.code",
"position": [
-4544,
1504
],
"parameters": {
"jsCode": "// Sort records by scene title to ensure correct order\nconst records = $input.all();\n\n// Create consecutive image pairs\nconst pairs = [];\n\nfor (let i = 0; i < records.length; i++) {\n const currentRecord = records[i].json;\n const nextRecord = i < records.length - 1 ? records[i + 1].json : null;\n \n pairs.push({\n json: {\n recordId: currentRecord.id,\n currentImage: currentRecord.start_image && currentRecord.start_image[0] ? currentRecord.start_image[0].url : null,\n nextImage: nextRecord && nextRecord.start_image && nextRecord.start_image[0] ? nextRecord.start_image[0].url : null,\n video_prompt: currentRecord.video_prompt\n }\n });\n}\n\nreturn pairs;"
},
"typeVersion": 2
},
{
"id": "621da354-b77c-4018-99de-7a02bf8712a6",
"name": "Loop Over Pairs",
"type": "n8n-nodes-base.splitInBatches",
"position": [
-4320,
1504
],
"parameters": {
"options": {}
},
"typeVersion": 3
},
{
"id": "4adbc057-587e-45ee-9cce-76eb85b26659",
"name": "Generate Video POST",
"type": "n8n-nodes-base.httpRequest",
"position": [
-4096,
1440
],
"parameters": {
"url": "https://api.atlascloud.ai/api/v1/model/generateVideo",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "model",
"value": "kwaivgi/kling-v2.1-i2v-pro/start-end-frame"
},
{
"name": "duration",
"value": "5"
},
{
"name": "image",
"value": "={{ $json.currentImage }}"
},
{
"name": "end_image",
"value": "={{ $json.nextImage }}"
},
{
"name": "guidance_scale",
"value": "0.5"
},
{
"name": "negative_prompt",
"value": "example_value"
},
{
"name": "prompt",
"value": "={{ $json.video_prompt }}"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "={{ 'Bearer ' + $('Setup Workflow 3').first().json.atlascloudApiKey }}"
}
]
}
},
"typeVersion": 4.3
},
{
"id": "0396ba5e-cf4b-47ff-9eec-77fd5e0648ed",
"name": "Wait 5 Minutes",
"type": "n8n-nodes-base.wait",
"position": [
-3872,
1440
],
"parameters": {
"unit": "minutes",
"amount": 6
},
"typeVersion": 1.1
},
{
"id": "eae2940d-8c47-4eee-9070-168c0a41c6f2",
"name": "Check Video Status GET",
"type": "n8n-nodes-base.httpRequest",
"position": [
-3648,
1440
],
"parameters": {
"url": "={{ 'https://api.atlascloud.ai/api/v1/model/prediction/' + $('Generate Video POST').item.json.data.id }}",
"options": {},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "={{ 'Bearer ' + $('Setup Workflow 3').first().json.atlascloudApiKey }}"
}
]
}
},
"typeVersion": 4.3
},
{
"id": "0efe1428-8876-43b2-8a80-f1df939b1a5e",
"name": "Update Record with Video",
"type": "n8n-nodes-base.airtable",
"position": [
-3424,
1504
],
"parameters": {
"base": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 3').first().json.airtableBaseId }}"
},
"table": {
"__rl": true,
"mode": "id",
"value": "={{ $('Setup Workflow 3').first().json.airtableTableId }}"
},
"columns": {
"value": {
"id": "={{ $('Loop Over Pairs').item.json.recordId }}",
"Status": "Video ready",
"video_scene": "={{ [ { url: $json.data.outputs[0] } ] }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "Status",
"type": "options",
"display": true,
"options": [
{
"name": "Todo",
"value": "Todo"
},
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
airtableTokenApiblotatoApigooglePalmApiopenAiApi
Pro
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About this workflow
📄 Documentation: Notion Guide
Source: https://n8n.io/workflows/13015/ — original creator credit. Request a take-down →
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