{ "id": "yfIi4CChMQkYHTfj", "meta": { "templateCredsSetupCompleted": true }, "name": "workflow1 copy - MEF", "tags": [], "nodes": [ { "id": "c0d8791a-573e-4803-94ef-78983a97c250", "name": "On form submission", "type": "n8n-nodes-base.formTrigger", "position": [ -1136, -224 ], "parameters": { "options": {}, "formTitle": "SketchTales", "formFields": { "values": [ { "fieldName": "Image", "fieldType": "file", "fieldLabel": "Upload your child's drawing", "multipleFiles": false, "requiredField": true } ] } }, "typeVersion": 2.4 }, { "id": "67676d60-5dfa-4f0a-9fdc-614c95ba445e", "name": "Analyze an image", "type": "@n8n/n8n-nodes-langchain.googleGemini", "position": [ -512, -224 ], "parameters": { "text": "You are an expert at understanding children's artwork. Analyze this drawing and extract ALL characters/creatures/people you see.\\n\\nFor each character give:\\n- A fun simple name a child would use\\n- Detailed visual description (colors, size, features, clothing, expression)\\n\\nAlso extract:\\n- Setting (where is this?)\\n- Mood (happy, adventurous, silly, etc.)\\n\\nRespond ONLY in this exact JSON format, no markdown, no backticks:\\n{\\\"characters\\\": [{\\\"name\\\": \\\"...\\\", \\\"description\\\": \\\"...\\\"}], \\\"setting\\\": \\\"...\\\", \\\"mood\\\": \\\"...\\\"}", "modelId": { "__rl": true, "mode": "list", "value": "models/gemini-3-pro-preview", "cachedResultName": "models/gemini-3-pro-preview" }, "options": {}, "resource": "image", "inputType": "binary", "operation": "analyze" }, "credentials": { "googlePalmApi": { "name": "" } }, "typeVersion": 1.1 }, { "id": "102bdbc6-5742-4f6a-9e3c-b24ea60c77e3", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ -320, -224 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "f3431bde-ff93-412e-b836-082b3752fcf3", "name": "content.parts[0].text", "type": "string", "value": "={{ $json.content.parts[0].text }}" } ] } }, "typeVersion": 3.4 }, { "id": "e7d86999-0cd4-470f-bb0f-e4903d227b34", "name": "Extract from File", "type": "n8n-nodes-base.extractFromFile", "position": [ -928, -224 ], "parameters": { "options": {}, "operation": "binaryToPropery", "binaryPropertyName": "Image" }, "typeVersion": 1.1 }, { "id": "8a501e82-ba99-4de0-9a90-2594ef76cd83", "name": "Convert to File", "type": "n8n-nodes-base.convertToFile", "position": [ -720, -224 ], "parameters": { "options": {}, "operation": "toBinary", "sourceProperty": "data" }, "typeVersion": 1.1 }, { "id": "7940864c-cc04-4b49-ae9f-57c4941297fa", "name": "Parse Characters", "type": "n8n-nodes-base.code", "position": [ -112, -224 ], "parameters": { "jsCode": "const response = $input.first().json;\nlet text = response.content.parts[0].text;\ntext = text.replace(/```json\\n?/g, '').replace(/```\\n?/g, '').trim();\nconst data = JSON.parse(text);\n\nconst chars = data.characters;\nlet charList = '';\nlet jsonFormat = '{\\n';\n\nfor (let i = 0; i < chars.length; i++) {\n charList += 'Character ' + (i + 1) + ': ' + chars[i].name + ' \u2014 ' + chars[i].description + '\\n\\n';\n if (i < chars.length - 1) {\n jsonFormat += ' \"character_' + (i + 1) + '_prompt\": \"...\",\\n';\n } else {\n jsonFormat += ' \"character_' + (i + 1) + '_prompt\": \"...\"\\n';\n }\n}\n\njsonFormat += '}';\n\nreturn chars.map((char, i) => ({\n json: {\n character_index: i + 1,\n character_name: char.name,\n character_desc: char.description,\n character_count: chars.length\n }\n}));" }, "typeVersion": 2 }, { "id": "44a22476-14ab-4cc1-ad6c-c2d56f24d167", "name": "Build Character Prompt", "type": "n8n-nodes-base.code", "position": [ -1136, 176 ], "parameters": { "jsCode": "const items = $input.all();\n\nlet charList = '';\nlet jsonFormat = '{\\n';\n\nfor (let i = 0; i < items.length; i++) {\n const c = items[i].json;\n charList += 'Character ' + c.character_index + ': ' + c.character_name + ' \u2014 ' + c.character_desc + '\\n\\n';\n if (i < items.length - 1) {\n jsonFormat += ' \"character_' + c.character_index + '_prompt\": \"...\",\\n';\n } else {\n jsonFormat += ' \"character_' + c.character_index + '_prompt\": \"...\"\\n';\n }\n}\n\njsonFormat += '}';\n\nreturn [{\n json: {\n character_count: items.length,\n character_list: charList,\n json_format: jsonFormat\n }\n}];" }, "typeVersion": 2 }, { "id": "65f98464-7b46-478d-a930-1bc6fd4ab6fb", "name": "Split Character Prompts", "type": "n8n-nodes-base.code", "position": [ -544, 176 ], "parameters": { "jsCode": "const prompts = $input.first().json.output.prompts;\n\nreturn prompts.map(p => ({\n json: {\n character_index: p.character_index,\n character_name: p.character_name,\n prompt: p.prompt\n }\n}));" }, "typeVersion": 2 }, { "id": "8c98944a-4e07-4b08-b0b0-468d02244c75", "name": "Nano Banana Payload", "type": "n8n-nodes-base.code", "position": [ -336, 176 ], "parameters": { "jsCode": "const items = $input.all();\nconst base64 = $('Extract from File').first().json.data;\n\nreturn items.map(item => ({\n json: {\n character_index: item.json.character_index,\n character_name: item.json.character_name,\n payload: {\n contents: [\n {\n parts: [\n { text: item.json.prompt },\n {\n inline_data: {\n mime_type: \"image/png\",\n data: base64\n }\n }\n ]\n }\n ],\n generationConfig: {\n responseModalities: [\"TEXT\", \"IMAGE\"],\n imageConfig: {\n aspectRatio: \"16:9\",\n imageSize: \"1K\"\n }\n }\n }\n }\n}));" }, "typeVersion": 2 }, { "id": "ae297634-568c-4233-a0d4-e30278e01fd6", "name": "Nano Banana Generate", "type": "n8n-nodes-base.httpRequest", "position": [ -112, 176 ], "parameters": { "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-image-preview:generateContent", "method": "POST", "options": {}, "jsonBody": "={{ $json.payload }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] }, "nodeCredentialType": "googlePalmApi" }, "credentials": { "googlePalmApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 4.3, "waitBetweenTries": 5000 }, { "id": "a9c8ccbb-c44d-43f8-8cf4-2aac28b792d3", "name": "Extract Character Image", "type": "n8n-nodes-base.set", "position": [ 112, 176 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "b5b58c86-29ff-4815-84dd-e54331612abb", "name": "data", "type": "string", "value": "={{ $json.candidates[0].content.parts[0].inlineData.data }}" } ] } }, "typeVersion": 3.4 }, { "id": "5d6e03b9-7714-4806-b217-4868a9b0ae1d", "name": "Character Image to File", "type": "n8n-nodes-base.convertToFile", "position": [ 320, 176 ], "parameters": { "options": {}, "operation": "toBinary", "sourceProperty": "data" }, "typeVersion": 1.1 }, { "id": "0aa4b18a-d40b-4545-a7ae-402c7ce8d21d", "name": "Map Character URLs", "type": "n8n-nodes-base.code", "position": [ 736, 176 ], "parameters": { "jsCode": "const cloudinary = $input.all();\nconst characters = $('Parse Characters').all(); // change to your code node name that has character_name\n\nreturn cloudinary.map((item, i) => ({\n json: {\n character_index: i + 1,\n character_name: characters[i].json.character_name,\n character_image_url: item.json.secure_url\n }\n}));" }, "typeVersion": 2 }, { "id": "aeeb4e87-af77-4bb8-bd1e-42715c625512", "name": "Build Story Context", "type": "n8n-nodes-base.code", "position": [ -1120, 576 ], "parameters": { "jsCode": "const items = $input.all();\n\nlet charList = '';\nlet charMap = [];\n\nfor (const item of items) {\n const c = item.json;\n charList += c.character_name + ' (image: ' + c.character_image_url + ')\\n';\n charMap.push({\n character_index: c.character_index,\n character_name: c.character_name,\n character_image_url: c.character_image_url\n });\n}\n\nreturn [{\n json: {\n character_count: items.length,\n character_list: charList,\n character_map: charMap\n }\n}];" }, "typeVersion": 2 }, { "id": "d9e694a2-db68-4109-b0f1-63dd0a634163", "name": "Split Story Chunks", "type": "n8n-nodes-base.code", "position": [ -576, 576 ], "parameters": { "jsCode": "const story = $input.first().json.output;\nconst charMap = $('Map Character URLs').all(); // change to your node name with character URLs\n\nreturn story.chunks.map(chunk => ({\n json: {\n title: story.title,\n chunk_number: chunk.chunk_number,\n script: chunk.script,\n image_prompt: chunk.image_prompt,\n duration_seconds: chunk.duration_seconds,\n characters_used: chunk.characters_used,\n character_images: chunk.characters_used.map(i => \n charMap[i - 1].json.character_image_url\n )\n }\n}));" }, "typeVersion": 2 }, { "id": "5d98edd7-da5c-4a55-b825-caf729278015", "name": "Extract Unique Character URLs", "type": "n8n-nodes-base.code", "position": [ -368, 576 ], "parameters": { "jsCode": "const chunks = $input.all();\nconst allUrls = new Set();\n\nfor (const chunk of chunks) {\n for (const url of chunk.json.character_images) {\n allUrls.add(url);\n }\n}\n\nreturn [...allUrls].map((url, i) => ({\n json: {\n character_index: i + 1,\n image_url: url\n }\n}));" }, "typeVersion": 2 }, { "id": "03c82920-81ad-4dab-8781-c41c4604a9d3", "name": "Build Scene Payload", "type": "n8n-nodes-base.code", "position": [ -160, 576 ], "parameters": { "jsCode": "const story = $('Generate Story').first().json.output;\nconst charUrls = $('Extract Unique Character URLs').all();\n\nconst characters = charUrls.map(c => ({\n character_index: c.json.character_index,\n image_url: c.json.image_url\n}));\n\nconst chunks = story.chunks.map(chunk => ({\n chunk_number: chunk.chunk_number,\n script: chunk.script,\n image_prompt: chunk.image_prompt,\n duration_seconds: chunk.duration_seconds,\n characters_used: chunk.characters_used,\n character_images: chunk.characters_used.map(i =>\n characters.find(c => c.character_index === i).image_url\n )\n}));\n\nreturn [{\n json: {\n title: story.title,\n characters: characters,\n chunks: chunks\n }\n}];" }, "typeVersion": 2 }, { "id": "e977d9c6-e243-4e9e-8304-970eea973aba", "name": "Trigger Scene Workflow", "type": "n8n-nodes-base.httpRequest", "position": [ 48, 576 ], "parameters": { "url": "https://dr-firass.app.n8n.cloud/webhook-test/9a2bdfcb-57ae-4a8f-a3dc-78382b9334a0", "method": "POST", "options": {}, "jsonBody": "={{ $json }}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4.3 }, { "id": "ada7addf-8329-460d-8fcf-5d8478de85f5", "name": "Structured Output Parser2", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -768, 304 ], "parameters": { "jsonSchemaExample": "{\n \"prompts\": [\n {\n \"character_index\": 1,\n \"character_name\": \"...\",\n \"prompt\": \"...\"\n }\n ]\n}" }, "typeVersion": 1.3 }, { "id": "bb283fd5-6ebf-4e43-8de2-04bd4f522254", "name": "Anthropic Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic", "position": [ -912, 304 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "claude-sonnet-4-5-20250929", "cachedResultName": "Claude Sonnet 4.5" }, "options": {} }, "credentials": { "anthropicApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "0bad2b61-4545-4f8b-9e4a-20a7e0ff9283", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -784, 736 ], "parameters": { "jsonSchemaExample": "{\n \"title\": \"...\",\n \"chunks\": [\n {\n \"chunk_number\": 1,\n \"script\": \"...\",\n \"image_prompt\": \"...\",\n \"characters_used\": [1],\n \"duration_seconds\": 10\n }\n ]\n}" }, "typeVersion": 1.3 }, { "id": "7e9113bf-d405-4278-b62c-f6864fcbc39f", "name": "Anthropic Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic", "position": [ -928, 736 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "claude-sonnet-4-5-20250929", "cachedResultName": "Claude Sonnet 4.5" }, "options": {} }, "credentials": { "anthropicApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "fd6cd8ee-bd3a-461c-993c-169aeddb8acc", "name": "Upload an asset from file data1", "type": "n8n-nodes-cloudinary.cloudinary", "position": [ 544, 176 ], "parameters": { "operation": "uploadFile", "additionalFieldsFile": {} }, "credentials": { "cloudinaryApi": { "name": "" } }, "typeVersion": 1 }, { "id": "402f8d66-8cdf-4f5a-b2a5-b04d719d2f44", "name": "Generate Story", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -928, 576 ], "parameters": { "text": "=Write a children's story using these {{ $json.character_count }} characters:\n\n{{ $json.character_list }}\n\nRespond in this EXACT JSON format:\n{\n \"title\": \"...\",\n \"chunks\": [\n {\n \"chunk_number\": 1,\n \"script\": \"narration text here\",\n \"image_prompt\": \"Using the attached character images as reference, create a scene showing...\",\n \"characters_used\": [1, 2],\n \"duration_seconds\": 10\n }\n ]\n}", "batching": {}, "messages": { "messageValues": [ { "message": "You are a beloved children's storybook author and visual director. You write short, magical stories for ages 3-7. You will receive characters from a child's drawing. Write a story in chunks. Each chunk is about 10 seconds of narration (2-3 sentences). For each chunk you also write a detailed image generation prompt for the scene illustration. Rules: 1) Use the EXACT character names provided in the narration. 2) Each chunk specifies which characters appear by their index number. 3) Story has a beginning, a small adventure, a resolution, and a warm ending. 4) Language is simple, warm, magical \u2014 sensory details, sounds, colors, feelings. 5) Keep it to 4-6 chunks total. 6) Each image_prompt MUST start with 'Using the attached character images as reference, create a scene showing...' 7) Image style for ALL: 'soft watercolor, rounded shapes, warm lighting, children's storybook animation, Pixar meets Eric Carle'. 8) Include scene setting, character poses, expressions, actions, and mood in each image_prompt. 9) duration_seconds should match how long the narration takes to read aloud slowly. 10) Respond ONLY valid JSON \u2014 no explanation, no markdown, no backticks." } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.9 }, { "id": "30739bcf-70f4-44e5-9307-ce3c65e08d9e", "name": "Generate Character Prompts", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -912, 160 ], "parameters": { "text": "=I have {{ $json.character_count }} characters. Generate an image prompt for each.\n\n{{ $json.character_list }}\n\nReturn EXACTLY {{ $json.character_count }} items in this JSON format:\n{{ $json.json_format }}", "batching": {}, "messages": { "messageValues": [ { "message": "You are an expert prompt engineer for AI image generation. You will receive characters from a child's drawing. Write a detailed image generation prompt for EACH character that will be sent to an image-to-image AI model along with the original drawing as reference. All characters must share the SAME art style so they belong in the same storybook. Rules: 1) Every prompt MUST start with 'Using the attached image as reference, create an animated cartoon version of...'. 2) Reference EXACT colors, features, clothing, proportions. 3) Every prompt includes 'front-facing, full body, clean white background'. 4) Style for ALL: 'soft watercolor, rounded shapes, warm lighting, children's storybook animation, Pixar meets Eric Carle'. 5) No text in image. 6) ONE character per prompt \u2014 isolate only that character from the drawing. 7) Respond ONLY valid JSON \u2014 no explanation, no markdown, no backticks." } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.9 }, { "id": "450c3e35-ca79-4e4c-a623-13ef050f494a", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -1280, -368 ], "parameters": { "color": 7, "width": 2320, "height": 1264, "content": "## Part 1 \u2014 From Drawing to Story: Characters, Images & Narrative" }, "typeVersion": 1 }, { "id": "5d18efd8-0e84-4f57-a39b-e41bc0d475f3", "name": "Webhook", "type": "n8n-nodes-base.webhook", "position": [ -1152, 1008 ], "parameters": { "path": "87f99887-37fa-432a-ba5b-fd8043373e64", "options": {}, "httpMethod": "POST" }, "typeVersion": 2.1 }, { "id": "483a8e4d-b3b0-4022-a388-b3eafcbe97ee", "name": "Split Scene Chunks", "type": "n8n-nodes-base.code", "position": [ -928, 1008 ], "parameters": { "jsCode": "const body = $input.first().json.body;\n\nreturn body.chunks.map(chunk => ({\n json: {\n title: body.title,\n chunk_number: chunk.chunk_number,\n script: chunk.script,\n image_prompt: chunk.image_prompt,\n duration_seconds: chunk.duration_seconds,\n characters_used: chunk.characters_used,\n character_images: chunk.character_images\n }\n}));" }, "typeVersion": 2 }, { "id": "a5e18250-500b-4095-8b8d-496d214ceaf8", "name": "Extract Character URLs", "type": "n8n-nodes-base.code", "position": [ -720, 1008 ], "parameters": { "jsCode": "const body = $('Webhook').first().json.body;\n\nreturn body.characters.map(c => ({\n json: {\n character_index: c.character_index,\n image_url: c.image_url\n }\n}));" }, "typeVersion": 2 }, { "id": "133845a0-1d49-4505-840e-0c647730a4bc", "name": "Download Character Images", "type": "n8n-nodes-base.httpRequest", "position": [ -544, 1008 ], "parameters": { "url": "={{ $json.image_url }}", "options": {} }, "typeVersion": 4.3 }, { "id": "60a78731-bbc4-4891-b50e-55c0429b35e8", "name": "Character Images to Base64", "type": "n8n-nodes-base.extractFromFile", "position": [ -336, 1008 ], "parameters": { "options": {}, "operation": "binaryToPropery" }, "typeVersion": 1.1 }, { "id": "83ea57c6-9f84-4ba0-a6c5-35356a5a199b", "name": "Build Base64 Map", "type": "n8n-nodes-base.code", "position": [ -128, 1008 ], "parameters": { "jsCode": "const items = $input.all();\n\nreturn [{\n json: {\n character_base64: items.map((item, i) => ({\n character_index: i + 1,\n base64: item.json.data,\n mimetype: item.json.mimetype || 'image/jpeg'\n }))\n }\n}];" }, "typeVersion": 2 }, { "id": "6a322b10-3b98-414c-a184-bc5777a53e5f", "name": "Build Scene Image Payloads", "type": "n8n-nodes-base.code", "position": [ -1168, 1424 ], "parameters": { "jsCode": "const charData = $('Build Base64 Map').first().json.character_base64;\nconst body = $('Webhook').first().json.body;\n\nreturn body.chunks.map(chunk => {\n const parts = [\n { text: chunk.image_prompt }\n ];\n\n for (const charIdx of chunk.characters_used) {\n const char = charData.find(c => c.character_index === charIdx);\n if (char) {\n parts.push({\n inline_data: {\n mime_type: char.mimetype,\n data: char.base64\n }\n });\n }\n }\n\n return {\n json: {\n chunk_number: chunk.chunk_number,\n script: chunk.script,\n duration_seconds: chunk.duration_seconds,\n payload: {\n contents: [{ parts }],\n generationConfig: {\n responseModalities: [\"TEXT\", \"IMAGE\"],\n imageConfig: {\n aspectRatio: \"16:9\",\n imageSize: \"1K\"\n }\n }\n }\n }\n };\n});" }, "typeVersion": 2 }, { "id": "009372bc-69aa-4edd-8706-9cd0aa7cb1d3", "name": "Nano Banana Scene Generate", "type": "n8n-nodes-base.httpRequest", "position": [ -976, 1424 ], "parameters": { "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-3-pro-image-preview:generateContent", "method": "POST", "options": {}, "jsonBody": "={{ $json.payload }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "authentication": "predefinedCredentialType", "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" } ] }, "nodeCredentialType": "googlePalmApi" }, "credentials": { "googlePalmApi": { "name": "" } }, "retryOnFail": true, "typeVersion": 4.3, "waitBetweenTries": 5000 }, { "id": "ef558c1f-8fcc-419d-aa46-da2b1e73558f", "name": "Extract Scene Image", "type": "n8n-nodes-base.set", "position": [ -752, 1424 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "b5b58c86-29ff-4815-84dd-e54331612abb", "name": "data", "type": "string", "value": "={{ $json.candidates[0].content.parts[0].inlineData.data }}" } ] } }, "typeVersion": 3.4 }, { "id": "145af6ac-6e9f-4fbf-9c1b-04193c88b57a", "name": "Scene Image to File", "type": "n8n-nodes-base.convertToFile", "position": [ -544, 1424 ], "parameters": { "options": {}, "operation": "toBinary", "sourceProperty": "data" }, "typeVersion": 1.1 }, { "id": "8a926c81-c894-488c-b4cd-d87e98923296", "name": "Map Scene URLs", "type": "n8n-nodes-base.code", "position": [ -128, 1424 ], "parameters": { "jsCode": "const cloudinary = $input.all();\nconst body = $('Webhook').first().json.body;\n\nconst chunks = body.chunks.map((chunk, i) => ({\n chunk_number: chunk.chunk_number,\n script: chunk.script,\n image_prompt: chunk.image_prompt,\n duration_seconds: chunk.duration_seconds,\n scene_image_url: cloudinary[i].json.secure_url\n}));\n\nreturn [{\n json: {\n title: body.title,\n chunks: chunks\n }\n}];" }, "typeVersion": 2 }, { "id": "0f81613e-826f-45b1-ae18-37f1bdc517a6", "name": "Trigger Video Workflow", "type": "n8n-nodes-base.httpRequest", "position": [ 80, 1424 ], "parameters": { "url": "https://dr-firass.app.n8n.cloud/webhook-test/ec089d71-c7c3-482a-b11d-f7c24ec16fbc", "method": "POST", "options": {}, "jsonBody": "={{ $json }}", "sendBody": true, "specifyBody": "json" }, "typeVersion": 4.3 }, { "id": "d7dd8fba-1eb8-441c-a7e7-2fd0257bfd77", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1280, 944 ], "parameters": { "color": 7, "width": 2304, "height": 688, "content": "## Part 2 \u2014 From Characters to Scenes: Rendering the Visual Story" }, "typeVersion": 1 }, { "id": "fe093455-f66b-428d-93ec-f8ba8391f326", "name": "Upload an asset from file data", "type": "n8n-nodes-cloudinary.cloudinary", "position": [ -336, 1424 ], "parameters": { "operation": "uploadFile", "additionalFieldsFile": {} }, "credentials": { "cloudinaryApi": { "name": "" } }, "typeVersion": 1 }, { "id": "06619dc2-b9df-4d46-89b9-cb2eb59d168f", "name": "Structured Output Parser1", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ -400, 1952 ], "parameters": { "jsonSchemaExample": "{\n \"scenes\": [\n {\n \"chunk_number\": 1,\n \"video_prompt\": \"Use the provided image as the first frame. ...\",\n \"narration\": \"shortened narration here\"\n }\n ]\n}" }, "typeVersion": 1.3 }, { "id": "369bb7b5-ab54-494c-8c0d-ea8cee07b13f", "name": "Wait", "type": "n8n-nodes-base.wait", "position": [ -864, 2224 ], "parameters": { "unit": "minutes", "amount": 11 }, "typeVersion": 1.1 }, { "id": "8b1a782e-4218-4e71-9f10-e5e5be20d0a1", "name": "If", "type": "n8n-nodes-base.if", "position": [ -480, 2224 ], "parameters": { "options": {}, "conditions": { "options": { "version": 3, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "47c96ffd-1daa-417b-8ccc-0702e38fbfc9", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.data.status }}", "rightValue": "completed" } ] }, "looseTypeValidation": true }, "executeOnce": false, "typeVersion": 2.3 }, { "id": "31f82df9-bcbd-4c0a-89da-830de57868b6", "name": "Loop Over Items", "type": "n8n-nodes-base.splitInBatches", "position": [ -32, 2432 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "13eeeaee-9410-4afa-ac0f-798b8cb575b2", "name": "Wait1", "type": "n8n-nodes-base.wait", "position": [ 560, 2400 ], "parameters": {}, "typeVersion": 1.1 }, { "id": "4e0a68d7-1843-4592-8d21-1db57dec2271", "name": "Wait2", "type": "n8n-nodes-base.wait", "position": [ -352, 2864 ], "parameters": { "unit": "minutes", "amount": 1 }, "typeVersion": 1.1 }, { "id": "d8d2e7a0-bc42-4bd4-ad98-373bc6aca49a", "name": "Split Video Chunks", "type": "n8n-nodes-base.code", "position": [ -976, 1808 ], "parameters": { "jsCode": "const body = $input.first().json.body;\n\nconst staticData = $getWorkflowStaticData('global');\nstaticData.title = body.title;\nstaticData.chunks = body.chunks;\n\nreturn body.chunks.map(chunk => ({\n json: {\n chunk_number: chunk.chunk_number,\n script: chunk.script,\n image_prompt: chunk.image_prompt,\n duration_seconds: chunk.duration_seconds,\n scene_image_url: chunk.scene_image_url\n }\n}));" }, "typeVersion": 2 }, { "id": "9617c307-c9d8-41d5-adcd-cd654e8e0b41", "name": "Build Narration Context", "type": "n8n-nodes-base.code", "position": [ -768, 1808 ], "parameters": { "jsCode": "const items = $input.all();\n\nlet chunkList = '';\nfor (const item of items) {\n const c = item.json;\n chunkList += 'Scene ' + c.chunk_number + ':\\n';\n chunkList += 'Script: ' + c.script + '\\n';\n chunkList += 'Image description: ' + c.image_prompt + '\\n';\n chunkList += 'Duration: ' + c.duration_seconds + 's\\n\\n';\n}\n\nreturn [{\n json: {\n chunk_count: items.length,\n chunk_list: chunkList\n }\n}];" }, "typeVersion": 2 }, { "id": "3fadb3ec-8e75-4026-bdbb-b1a94ab0285c", "name": "Generate Video Prompts", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ -544, 1808 ], "parameters": { "text": "=I have {{ $json.chunk_count }} scenes. Write a video animation prompt and shortened narration for each.\n\n{{ $json.chunk_list }}\n\nRespond in this EXACT JSON format:\n{\n \"scenes\": [\n {\n \"chunk_number\": 1,\n \"video_prompt\": \"Use the provided image as the first frame. ...\",\n \"narration\": \"shortened narration here\"\n }\n ]\n}", "batching": {}, "messages": { "messageValues": [ { "message": "You are an expert video prompt engineer and children's storybook narrator. You receive scene descriptions and their narration scripts. For each scene you do TWO things: 1) Write a video animation prompt for AI image-to-video generation (Kling style). 2) Rewrite the narration to be SHORTER \u2014 must take no more than 8 seconds to read aloud at a slow storytelling pace (roughly 15-18 words max). The video starts from the provided scene image. Rules for video_prompt: 1) Describe what MOVES and HOW \u2014 character gestures, facial expressions, wind, particles, camera pans/zooms. 2) Keep camera movements cinematic but gentle \u2014 slow zoom, slight pan, subtle dolly. 3) Match the mood of the narration. 4) Duration is 10 seconds per clip. 5) Start each prompt with 'Use the provided image as the first frame.' 6) No text in video. Rules for narration: 1) Keep the same story meaning but use fewer words. 2) Maximum 18 words per chunk. 3) Warm, magical tone for ages 3-7. 4) Must sound natural when read aloud. Respond ONLY valid JSON \u2014 no explanation, no markdown, no backticks." } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.9 }, { "id": "43b34654-a84f-4848-83ae-34592133ea5a", "name": "Merge Video Prompts", "type": "n8n-nodes-base.code", "position": [ -192, 1808 ], "parameters": { "jsCode": "const scenes = $input.first().json.output.scenes;\nconst body = $('Webhook1').first().json.body;\n\nreturn scenes.map((scene, i) => ({\n json: {\n chunk_number: scene.chunk_number,\n script: body.chunks[i].script,\n duration_seconds: body.chunks[i].duration_seconds,\n scene_image_url: body.chunks[i].scene_image_url,\n video_prompt: scene.video_prompt\n }\n}));" }, "typeVersion": 2 }, { "id": "25cc95f0-505a-4a01-923d-bb5626b7726f", "name": "Build Kling Payloads", "type": "n8n-nodes-base.code", "position": [ 16, 1808 ], "parameters": { "jsCode": "const items = $input.all();\n\nreturn items.map((item, i) => {\n const nextImage = i < items.length - 1 ? items[i + 1].json.scene_image_url : undefined;\n\n const payload = {\n model: \"kwaivgi/kling-v3.0-pro/image-to-video\",\n cfg_scale: 0.5,\n duration: item.json.duration_seconds,\n image: item.json.scene_image_url,\n ...(nextImage && { end_image: nextImage }),\n prompt: item.json.video_prompt,\n negative_prompt: \"talking, speaking, mouth movement, lip sync, dialogue, voice, speech\",\n sound: true\n };\n\n return {\n json: {\n chunk_number: item.json.chunk_number,\n script: item.json.script,\n body: JSON.stringify(payload)\n }\n };\n});" }, "typeVersion": 2 }, { "id": "3d586f77-d0f2-46ea-8578-3455efe7453a", "name": "Atlas Cloud Generate Video", "type": "n8n-nodes-base.httpRequest", "position": [ -1152, 2224 ], "parameters": { "url": "https://api.atlascloud.ai/api/v1/model/generateVideo", "method": "POST", "options": {}, "jsonBody": "={{ $json.body }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" }, { "name": "Content-Type", "value": "application/json" } ] } }, "typeVersion": 4.3 }, { "id": "fc0a7246-4b43-45b4-9d19-4ce16e2ece36", "name": "Atlas Cloud Poll Result", "type": "n8n-nodes-base.httpRequest", "position": [ -688, 2224 ], "parameters": { "url": "=https://api.atlascloud.ai/api/v1/model/prediction/{{ $json.data.id }}", "options": {}, "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "Bearer YOUR_TOKEN_HERE" } ] } }, "typeVersion": 4.3 }, { "id": "b2ffff3c-561a-4433-8252-a6aa2cf3ac34", "name": "Extract Video URLs", "type": "n8n-nodes-base.code", "position": [ -240, 2256 ], "parameters": { "jsCode": "const items = $input.all();\n\nreturn items.map((item, i) => ({\n json: {\n chunk_number: i + 1,\n video_url: item.json.data.outputs[0]\n }\n}));" }, "typeVersion": 2 }, { "id": "6e5c0287-0bb7-485a-a4a8-cb869f67e7ac", "name": "ElevenLabs Narrate", "type": "n8n-nodes-base.httpRequest", "position": [ 208, 2288 ], "parameters": { "url": "https://api.elevenlabs.io/v1/text-to-speech/onwK4e9ZLuTAKqWW03F9", "method": "POST", "options": { "response": { "response": { "responseFormat": "file" } } }, "jsonBody": "={{ $json.body }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "headerParameters": { "parameters": [ { "name": "xi-api-key", "value": "YOUR_API_HERE" }, { "name": "Content-Type", "value": "application/json" } ] } }, "typeVersion": 4.3 }, { "id": "b98705d6-1ba5-4b0a-8dea-7f6c8681f7da", "name": "Extract Audio URLs", "type": "n8n-nodes-base.code", "position": [ 816, 2480 ], "parameters": { "jsCode": "const items = $input.all();\n\nreturn items.map((item, i) => ({\n json: {\n chunk_number: i + 1,\n audio_url: item.json.secure_url\n }\n}));" }, "typeVersion": 2 }, { "id": "9d4836ef-d682-425c-a347-9cb05ef7835c", "name": "Build Shotstack Payload", "type": "n8n-nodes-base.code", "position": [ -1152, 2864 ], "parameters": { "jsCode": "const audioItems = $input.all();\nconst videoItems = $('Extract Video URLs').all();\nconst chunkItems = $('Split Video Chunks').all();\n\nif (!chunkItems || chunkItems.length === 0) {\n throw new Error('Aucun chunk trouv\u00e9 depuis \"Split Video Chunks\".');\n}\nif (!videoItems || videoItems.length === 0) {\n throw new Error('Aucune vid\u00e9o trouv\u00e9e depuis \"Extract Video URLs\".');\n}\nif (!audioItems || audioItems.length === 0) {\n throw new Error('Aucun audio re\u00e7u en entr\u00e9e.');\n}\n\nconst staticData = $getWorkflowStaticData('global');\nconst title = staticData.title ?? chunkItems[0]?.json?.title ?? 'Sans titre';\n\nconst scenes = chunkItems.map((chunkItem, i) => ({\n chunk_number: chunkItem.json.chunk_number,\n duration_seconds: chunkItem.json.duration_seconds,\n video_url: videoItems[i]?.json?.video_url ?? null,\n audio_url: audioItems[i]?.json?.audio_url ?? null\n}));\n\nreturn [{\n json: {\n title: title,\n scenes: scenes\n }\n}];" }, "typeVersion": 2 }, { "id": "95bd87ae-5ace-4043-be74-fdd2abaf5cd7", "name": "Build Shotstack Timeline", "type": "n8n-nodes-base.code", "position": [ -848, 2864 ], "parameters": { "jsCode": "const data = $input.first().json;\n\nlet currentTime = 0;\nconst videoClips = [];\nconst audioClips = [];\n\nfor (const scene of data.scenes) {\n videoClips.push({\n asset: {\n type: \"video\",\n src: scene.video_url\n },\n start: currentTime,\n length: \"auto\"\n });\n\n audioClips.push({\n asset: {\n type: \"audio\",\n src: scene.audio_url,\n volume: 1\n },\n start: currentTime,\n length: \"auto\"\n });\n\n currentTime += scene.duration_seconds;\n}\n\nreturn [{\n json: {\n body: JSON.stringify({\n timeline: {\n tracks: [\n { clips: videoClips },\n { clips: audioClips }\n ]\n },\n output: {\n format: \"mp4\",\n resolution: \"hd\"\n }\n })\n }\n}];" }, "typeVersion": 2 }, { "id": "fd067e22-704e-4d9f-8419-2fd0f9625cf0", "name": "Shotstack Render", "type": "n8n-nodes-base.httpRequest", "position": [ -560, 2864 ], "parameters": { "url": "https://api.shotstack.io/edit/v1/render", "method": "POST", "options": {}, "jsonBody": "={{ $json.body }}", "sendBody": true, "sendHeaders": true, "specifyBody": "json", "headerParameters": { "parameters": [ { "name": "x-api-key", "value": "YOUR_API_HERE" }, { "name": "Content-Type", "value": "application/json" } ] } }, "typeVersion": 4.3 }, { "id": "99918688-3d1d-43c3-a8cf-de2e027a068d", "name": "Shotstack Poll Result", "type": "n8n-nodes-base.httpRequest", "position": [ -160, 2864 ], "parameters": { "url": "=https://api.shotstack.io/edit/v1/render/{{ $json.response.id }}", "options": {}, "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "x-api-key", "value": "YOUR_API_HERE" } ] } }, "typeVersion": 4.3 }, { "id": "648603cd-b60c-4ca1-99ee-5bf0eae12b0f", "name": "Prepare Narration Loop", "type": "n8n-nodes-base.code", "position": [ -32, 2256 ], "parameters": { "jsCode": "const scenes = $('Generate Video Prompts').first().json.output.scenes;\n\nreturn scenes.map(scene => ({\n json: {\n chunk_number: scene.chunk_number,\n narration: scene.narration,\n body: JSON.stringify({\n text: scene.narration,\n model_id: \"eleven_multilingual_v2\",\n voice_settings: {\n stability: 0.6,\n similarity_boost: 0.75,\n style: 0.7,\n use_speaker_boost: true\n }\n })\n }\n}));" }, "typeVersion": 2 }, { "id": "fd7c209b-3b3c-48ab-a90d-07a22aa43a71", "name": "Generate Video Prompts1", "type": "@n8n/n8n-nodes-langchain.chainLlm", "position": [ 64, 2832 ], "parameters": { "text": "=Story title: {{ $('Webhook1').item.json.body.title }}\n\nScene scripts:\n{{ $('Split Video Chunks').all().map(s => 'Scene ' + s.json.chunk_number + ': ' + s.json.script).join('\\n') }}\n\nGenerate a video title and description.", "batching": {}, "messages": { "messageValues": [ { "message": "You are a creative content writer. You receive a story title and scene scripts from an AI-generated video. Based on the content, tone, and characters, write a fitting video title and description. Rules: 1) Title should capture the essence of the story and be engaging. Max 60 characters. 2) Description should be 2-3 sentences that make people want to watch. Match the tone of the story. 3) Include 3-5 relevant hashtags at the end. 4) Respond ONLY valid JSON \u2014 no explanation, no markdown, no backticks. Format: {\"video_title\": \"...\", \"video_description\": \"...\"}" } ] }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.9 }, { "id": "45c1aee1-8fe6-4410-abf9-63f7b6714d88", "name": "Youtube", "type": "@blotato/n8n-nodes-blotato.blotato", "position": [ 464, 2800 ], "parameters": { "options": { "scheduledTime": "" }, "platform": "youtube", "accountId": { "__rl": true, "mode": "list", "value": "30379", "cachedResultUrl": "https://backend.blotato.com/v2/accounts/30379", "cachedResultName": "Dr. Firas (PlayKids - English)" }, "postContentText": "={{ $json.output.scenes[0].description }}", "postContentMediaUrls": "={{ $('Shotstack Poll Result').item.json.response.url }}", "postCreateYoutubeOptionTitle": "={{ $json.output.scenes[0].video_title }}", "postCreateYoutubeOptionMadeForKids": true, "postCreateYoutubeOptionShouldNotifySubscribers": false }, "credentials": { "blotatoApi": { "name": "" } }, "typeVersion": 2 }, { "id": "3d6f21dd-b5de-4ea2-aed7-827b43ad8773", "name": "Tiktok", "type": "@blotato/n8n-nodes-blotato.blotato", "disabled": true, "position": [ 464, 2960 ], "parameters": { "options": {}, "platform": "tiktok", "accountId": { "__rl": true, "mode": "list", "value": "8047", "cachedResultUrl": "https://backend.blotato.com/v2/accounts/8047", "cachedResultName": "DR FIRASS (Dr. Firas)" }, "postContentText": "={{ $json.output.scenes[0].video_title }}", "postContentMediaUrls": "={{ $('Shotstack Poll Result').item.json.response.url }}", "postCreateTiktokOptionPrivacyLevel": "SELF_ONLY" }, "credentials": { "blotatoApi": { "name": "" } }, "typeVersion": 2 }, { "id": "846c0106-4687-4aa9-9211-6c1cc4aa79ba", "name": "Webhook1", "type": "n8n-nodes-base.webhook", "position": [ -1184, 1808 ], "parameters": { "path": "abbcaa45-a01a-4e75-bcac-e2734a9bb489", "options": {}, "httpMethod": "POST" }, "typeVersion": 2.1 }, { "id": "7348aa99-f6ab-434b-b531-0cff4cff0e5a", "name": "Anthropic Chat Model2", "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic", "position": [ -528, 1952 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "claude-sonnet-4-5-20250929", "cachedResultName": "Claude Sonnet 4.5" }, "options": {} }, "credentials": { "anthropicApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "4343a6ce-1c77-4535-9bfc-2f52b64922e4", "name": "Upload an asset from file data2", "type": "n8n-nodes-cloudinary.cloudinary", "position": [ 400, 2288 ], "parameters": { "operation": "uploadFile", "resource_type_file": "raw", "additionalFieldsFile": {} }, "credentials": { "cloudinaryApi": { "name": "" } }, "typeVersion": 1 }, { "id": "c9d907b0-38db-48c1-9fbd-037d460f3412", "name": "Structured Output Parser3", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 208, 2976 ], "parameters": { "jsonSchemaExample": "{\n \"scenes\": [\n {\n \"video_title\": \"Use the provided image as the first frame. ...\",\n \"description\": \"shortened narration here\"\n }\n ]\n}" }, "typeVersion": 1.3 }, { "id": "ef413214-9e30-4e13-a27f-f5ea737f0d67", "name": "Anthropic Chat Model3", "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic", "position": [ 80, 2976 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "claude-sonnet-4-5-20250929", "cachedResultName": "Claude Sonnet 4.5" }, "options": {} }, "credentials": { "anthropicApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "d3bb0328-d8a2-42f7-8b58-f33078e39cea", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -1280, 1696 ], "parameters": { "color": 7, "width": 2304, "height": 1456, "content": "## IPart 3 \u2014 From Scenes to Screen: Prompts, Audio & Final Assembly" }, "typeVersion": 1 }, { "id": "168bf49e-77ea-4b3c-8e9b-aa7c5ebf5976", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -2160, -368 ], "parameters": { "width": 816, "height": 2000, "content": "# \ud83c\udfac From Drawing to Story \u2014 Auto-Publish AI Video to YouTube with Blotato\n\nTransform a hand-drawn sketch into a fully narrated, animated video \u2014 automatically generated and published to YouTube.\n\n> \u26a0\ufe0f **This template is split into 3 separate workflows.**\n> Each part must be imported into its **own workflow** in n8n.\n\n---\n\n## \ud83c\udfa5 Tutorial\n\n@[youtube](bmx4IHX5lhI)\n\n---\n\n## \u2699\ufe0f How It Works\n\n- **Part 1** \u2014 Analyze the drawing, generate character images & write the story\n- **Part 2** \u2014 Generate scene images with character consistency\n- **Part 3** \u2014 Generate videos, narrate with AI audio & auto-publish to YouTube\n\n---\n\n## \ud83d\udd10 Credentials Needed\n\n- **[Blotato](https://blotato.com/?ref=firas)** \u2014 YouTube / TikTok publishing\n- **[AtlasCloud](https://www.atlascloud.ai?ref=8QKPJE)** \u2014 Kling Pro 3.0 video generation\n- **Anthropic** \u2014 Claude AI (story & prompts)\n- **ElevenLabs** \u2014 Narration audio\n- **Shotstack** \u2014 Final video assembly\n- **Nano Banana** \u2014 Image generation\n\n---\n\n## \ud83d\ude80 Setup Steps\n\n1. Configure credentials for each service above in n8n\n2. Set up a form trigger with a file upload field for the drawing\n3. Deploy the 3 workflows in order and connect them via webhooks\n4. Run a test submission with a simple sketch to validate the full pipeline" }, "typeVersion": 1 } ], "active": false, "settings": { "binaryMode": "separate", "availableInMCP": false, "executionOrder": "v1" }, "versionId": "113acb6b-26b0-4415-9d0c-701ee10357cd", "connections": { "If": { "main": [ [ { "node": "Extract Video URLs", "type": "main", "index": 0 } ], [ { "node": "Wait", "type": "main", "index": 0 } ] ] }, "Wait": { "main": [ [ { "node": "Atlas Cloud Poll Result", "type": "main", "index": 0 } ] ] }, "Wait1": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Wait2": { "main": [ [ { "node": "Shotstack Poll Result", "type": "main", "index": 0 } ] ] }, "Webhook": { "main": [ [ { "node": "Split Scene Chunks", "type": "main", "index": 0 } ] ] }, "Webhook1": { "main": [ [ { "node": "Split Video Chunks", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Parse Characters", "type": "main", "index": 0 } ] ] }, "Generate Story": { "main": [ [ { "node": "Split Story Chunks", "type": "main", "index": 0 } ] ] }, "Map Scene URLs": { "main": [ [ { "node": "Trigger Video Workflow", "type": "main", "index": 0 } ] ] }, "Convert to File": { "main": [ [ { "node": "Analyze an image", "type": "main", "index": 0 } ] ] }, "Loop Over Items": { "main": [ [ { "node": "Extract Audio URLs", "type": "main", "index": 0 } ], [ { "node": "ElevenLabs Narrate", "type": "main", "index": 0 } ] ] }, "Analyze an image": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Build Base64 Map": { "main": [ [ { "node": "Build Scene Image Payloads", "type": "main", "index": 0 } ] ] }, "Parse Characters": { "main": [ [ { "node": "Build Character Prompt", "type": "main", "index": 0 } ] ] }, "Shotstack Render": { "main": [ [ { "node": "Wait2", "type": "main", "index": 0 } ] ] }, "Extract from File": { "main": [ [ { "node": "Convert to File", "type": "main", "index": 0 } ] ] }, "ElevenLabs Narrate": { "main": [ [ { "node": "Upload an asset from file data2", "type": "main", "index": 0 } ] ] }, "Extract Audio URLs": { "main": [ [ { "node": "Build Shotstack Payload", "type": "main", "index": 0 } ] ] }, "Extract Video URLs": { "main": [ [ { "node": "Prepare Narration Loop", "type": "main", "index": 0 } ] ] }, "Map Character URLs": { "main": [ [ { "node": "Build Story Context", "type": "main", "index": 0 } ] ] }, "On form submission": { "main": [ [ { "node": "Extract from File", "type": "main", "index": 0 } ] ] }, "Split Scene Chunks": { "main": [ [ { "node": "Extract Character URLs", "type": "main", "index": 0 } ] ] }, "Split Story Chunks": { "main": [ [ { "node": "Extract Unique Character URLs", "type": "main", "index": 0 } ] ] }, "Split Video Chunks": { "main": [ [ { "node": "Build Narration Context", "type": "main", "index": 0 } ] ] }, "Build Scene Payload": { "main": [ [ { "node": "Trigger Scene Workflow", "type": "main", "index": 0 } ] ] }, "Build Story Context": { "main": [ [ { "node": "Generate 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