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Upload ai-brand-asset-generator.json

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Workflows/N8N_Workflows/ai-brand-asset-generator.json ADDED
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+ {
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+ "name": "Product Pictures Generations",
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+ "nodes": [
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+ {
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+ "parameters": {
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+ "path": "auto-generated",
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+ "formTitle": "🚀 AI Marketing Campaign Generator V2",
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+ "formDescription": "Upload your product and get a complete professional marketing campaign automatically generated. Our AI analyzes your product and creates everything dynamically.",
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+ "formFields": {
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+ "values": [
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+ {
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+ "fieldLabel": "Product Image",
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+ "fieldType": "file",
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+ "requiredField": true
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+ },
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+ {
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+ "fieldLabel": "What is the product's name?",
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+ "requiredField": true
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+ },
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+ {
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+ "fieldLabel": "What is the Product Tagline?"
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+ },
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+ {
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+ "fieldLabel": "Product Description",
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+ "fieldType": "textarea",
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+ "requiredField": true
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+ },
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+ {
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+ "fieldLabel": "What is the Product Category?",
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+ "fieldType": "select",
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+ "requiredField": true
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+ },
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+ {
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+ "fieldLabel": "Highlighted Benefit",
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+ "fieldType": "textarea"
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+ }
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+ ]
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+ },
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+ "options": {}
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+ },
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+ "id": "84245e2f-9eeb-42cb-8c35-2e1bebe40699",
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+ "name": "On form submission",
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+ "type": "n8n-nodes-base.formTrigger",
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+ "typeVersion": 2,
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+ "position": [
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+ -1100,
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+ -140
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+ ],
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+ "webhookId": "auto-generated"
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+ },
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+ {
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+ "parameters": {
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+ "jsCode": "// Dynamic brand profile generator with proper binary data handling\nconst formData = $input.first().json;\nconst binaryData = $input.first().binary;\n\n// Extract product information\nconst productName = formData[\"What is the product's name?\"] || '';\nconst productTagline = formData[\"What is the Product Tagline?\"] || '';\nconst productDescription = formData[\"Product Description\"] || '';\nconst productCategory = formData[\"What is the Product Category?\"] || 'Other';\nconst highlightedBenefit = formData[\"Highlighted Benefit\"] || '';\n\n// Find the uploaded image binary data\nlet imageBinary = null;\nif (binaryData) {\n // Try different possible field names for the uploaded image\n imageBinary = binaryData['Product Image'] || \n binaryData['product_image'] || \n binaryData['data'] ||\n binaryData['Product_Image'] ||\n binaryData[Object.keys(binaryData)[0]]; // Use first available binary\n}\n\n// Validate we have image data\nif (!imageBinary) {\n throw new Error('No image file found. Please ensure you upload a product image.');\n}\n\n// Convert to base64 for AI processing later\nlet imageBase64 = '';\nif (Buffer.isBuffer(imageBinary)) {\n imageBase64 = imageBinary.toString('base64');\n} else if (imageBinary.data && Buffer.isBuffer(imageBinary.data)) {\n imageBase64 = imageBinary.data.toString('base64');\n}\n\n// Create dynamic brand profile\nconst dynamicBrandProfile = {\n // AI will populate this based on product analysis\n brandName: productName || \"DYNAMIC BRAND\",\n brandTone: \"Will be determined by AI based on product analysis\",\n colorTheme: \"AI will extract from product image and market analysis\",\n backgroundStyle: \"AI will determine optimal style for product category\",\n lightingStyle: \"AI will optimize for product type and target audience\",\n productPlacement: \"AI will create placement rules based on product characteristics\",\n typographyStyle: \"AI will match typography to brand personality\",\n compositionGuidelines: \"AI will generate composition rules for brand consistency\",\n \n // Metadata for AI processing\n productInfo: {\n name: productName,\n tagline: productTagline,\n description: productDescription,\n category: productCategory,\n benefit: highlightedBenefit,\n imageBase64: imageBase64\n },\n \n // Processing flags\n needsAIProcessing: true,\n timestamp: new Date().toISOString()\n};\n\n// CRITICAL: Return both JSON and binary data\nreturn [{\n json: dynamicBrandProfile,\n binary: {\n data: imageBinary // Google Drive expects 'data' key\n }\n}];"
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+ },
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+ "id": "33b1b65a-35f8-495e-8427-c2235e35b884",
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+ "name": "Edit Fields",
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+ "type": "n8n-nodes-base.code",
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+ "typeVersion": 2,
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+ "position": [
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+ -620,
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+ -140
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+ ]
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+ },
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+ {
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+ "parameters": {
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+ "inputDataFieldName": "Product_Image",
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+ "driveId": {
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+ "__rl": true,
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+ "value": "My Drive",
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+ "mode": "list",
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+ "cachedResultName": "My Drive",
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+ "cachedResultUrl": "https://drive.google.com/drive/my-drive"
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+ },
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+ "folderId": {
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+ "__rl": true,
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+ "value": "1W5eLd9HAPWO_6TuTDW2MPMsQDknGrHoZ",
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+ "mode": "list",
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+ "cachedResultName": "Product Images ",
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+ "cachedResultUrl": "https://drive.google.com/drive/folders/1W5eLd9HAPWO_6TuTDW2MPMsQDknGrHoZ"
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+ },
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+ "options": {}
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+ },
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+ "id": "990382e9-78e4-4b8b-91d8-04b01eedbb60",
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+ "name": "Google Drive",
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+ "type": "n8n-nodes-base.googleDrive",
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+ "typeVersion": 3,
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+ "position": [
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+ -800,
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+ -360
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+ ],
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+ "credentials": {
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+ "googleDriveOAuth2Api": {
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+ "id": "a0H1R45zFS4MeKDk",
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+ "name": "Google Drive account"
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+ }
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+ }
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+ },
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+ {
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+ "parameters": {
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+ "jsCode": "// Process AI Agent output with robust error handling\nconst input = $input.first();\n\n// Debug: Check what we're getting\nconsole.log('Input structure:', input ? Object.keys(input) : 'input is null');\nconsole.log('Input JSON exists:', !!input?.json);\n\n// Safely get form data\nlet formData = {};\nlet originalBinary = {};\n\ntry {\n formData = $('On form submission').first()?.json || {};\n originalBinary = $('On form submission').first()?.binary || {};\n console.log('Form data keys:', Object.keys(formData));\n console.log('Binary data keys:', Object.keys(originalBinary));\n} catch (e) {\n console.log('Error accessing form data:', e.message);\n}\n\n// Safely extract AI Agent output\nlet aiOutput = {};\ntry {\n if (input?.json?.output?.output) {\n aiOutput = input.json.output.output;\n } else if (input?.json?.output) {\n aiOutput = input.json.output;\n } else if (input?.json) {\n aiOutput = input.json;\n } else {\n throw new Error('No AI output found');\n }\n console.log('AI Output keys:', Object.keys(aiOutput));\n} catch (e) {\n console.log('Error accessing AI output:', e.message);\n console.log('Full input:', JSON.stringify(input, null, 2));\n throw new Error('Cannot access AI Agent output: ' + e.message);\n}\n\n// Safely extract assets and other data\nconst assets = aiOutput.assets || [];\nconst brandStrategy = aiOutput.brandStrategy || {};\nconst campaignStrategy = aiOutput.campaignStrategy || {};\n\nconsole.log('Assets found:', assets.length);\n\nif (assets.length === 0) {\n console.log('No assets in AI output. Full aiOutput:', JSON.stringify(aiOutput, null, 2));\n throw new Error('No assets generated by AI Agent');\n}\n\n// Safely prepare product info\nconst productInfo = {\n name: formData[\"What is the product's name?\"] || 'Unknown Product',\n tagline: formData[\"What is the Product Tagline?\"] || '',\n description: formData[\"Product Description\"] || '',\n category: formData[\"What is the Product Category?\"] || 'General',\n benefit: formData[\"Highlighted Benefit\"] || ''\n};\n\n// Safely get binary data\nlet productImageBinary = null;\ntry {\n if (originalBinary && Object.keys(originalBinary).length > 0) {\n productImageBinary = originalBinary['Product Image'] || \n originalBinary['data'] || \n originalBinary[Object.keys(originalBinary)[0]];\n }\n} catch (e) {\n console.log('Error accessing binary data:', e.message);\n}\n\nif (!productImageBinary) {\n console.log('Available binary keys:', Object.keys(originalBinary || {}));\n throw new Error('Product image binary data not found');\n}\n\n// Create outputs with safe property access\nconst processedAssets = assets.map((asset, index) => {\n const safeAsset = asset || {};\n return {\n json: {\n assetIndex: index,\n assetType: safeAsset.assetType || `Asset ${index + 1}`,\n purpose: safeAsset.purpose || 'Marketing',\n backgroundTone: safeAsset.backgroundTone || 'neutral background',\n surfaceType: safeAsset.surfaceType || 'clean surface',\n accentProp: safeAsset.accentProp || 'minimal styling',\n lighting: safeAsset.lighting || 'natural lighting',\n cameraAngle: safeAsset.cameraAngle || 'straight-on angle',\n overlayText: safeAsset.overlayText || 'Premium Quality',\n priority: safeAsset.priority || 'medium',\n product: productInfo,\n brand: brandStrategy,\n campaignTheme: campaignStrategy.campaignTheme || 'Product Launch',\n timestamp: new Date().toISOString()\n },\n binary: {\n image: productImageBinary\n }\n };\n});\n\nconsole.log('Successfully processed assets:', processedAssets.length);\n\nreturn processedAssets;"
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+ },
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+ "id": "53c8797d-9a1e-4363-8903-68a8610c58b3",
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+ "name": "Code",
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+ "type": "n8n-nodes-base.code",
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+ "typeVersion": 2,
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+ "position": [
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+ },
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+ "parameters": {
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+ "version": 1
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+ "conditions": [
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+ {
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+ "leftValue": "={{ $json.assetType }}",
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+ "rightValue": "Instagram Post",
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+ "operation": "equals"
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+ "id": "15440eae-ac70-41a2-81e7-908ee7b3b90b",
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+ "rightValue": "Testimonial Graphic",
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+ {
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+ "parameters": {
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+ "name": "Instagram Story",
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+ "value": "My Drive",
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+ "mode": "list",
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+ "cachedResultName": "My Drive",
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+ "cachedResultUrl": "https://drive.google.com/drive/my-drive"
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+ "parameters": {
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+ {
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+ "parameters": {
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+ "name": "Testimonials",
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+ "value": "1W5eLd9HAPWO_6TuTDW2MPMsQDknGrHoZ",
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+ "mode": "list",
407
+ "cachedResultName": "Product Images ",
408
+ "cachedResultUrl": "https://drive.google.com/drive/folders/1W5eLd9HAPWO_6TuTDW2MPMsQDknGrHoZ"
409
+ },
410
+ "options": {}
411
+ },
412
+ "id": "e9026e1b-077f-4aea-8687-35369570dace",
413
+ "name": "Google Drive6",
414
+ "type": "n8n-nodes-base.googleDrive",
415
+ "typeVersion": 3,
416
+ "position": [
417
+ 380,
418
+ -500
419
+ ],
420
+ "credentials": {
421
+ "googleDriveOAuth2Api": {
422
+ "id": "a0H1R45zFS4MeKDk",
423
+ "name": "Google Drive account"
424
+ }
425
+ }
426
+ },
427
+ {
428
+ "parameters": {
429
+ "model": {
430
+ "__rl": true,
431
+ "mode": "list",
432
+ "value": "gpt-4o-mini"
433
+ },
434
+ "options": {}
435
+ },
436
+ "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
437
+ "typeVersion": 1.2,
438
+ "position": [
439
+ -1060,
440
+ 480
441
+ ],
442
+ "id": "ec6b9238-0959-45bd-8775-a5699c0f336b",
443
+ "name": "OpenAI Chat Model1",
444
+ "credentials": {
445
+ "openAiApi": {
446
+ "id": "jJ43azhw4WsPfIMK",
447
+ "name": "OpenAi account"
448
+ }
449
+ }
450
+ },
451
+ {
452
+ "parameters": {
453
+ "schemaType": "manual",
454
+ "inputSchema": "{\n \"type\": \"object\",\n \"properties\": {\n \"productAnalysis\": {\n \"type\": \"object\",\n \"properties\": {\n \"category\": {\"type\": \"string\"},\n \"pricePoint\": {\"type\": \"string\"},\n \"targetAudience\": {\"type\": \"string\"},\n \"brandPersonality\": {\"type\": \"string\"},\n \"competitivePosition\": {\"type\": \"string\"},\n \"keyDifferentiators\": {\n \"type\": \"array\",\n \"items\": {\"type\": \"string\"}\n }\n }\n },\n \"brandStrategy\": {\n \"type\": \"object\",\n \"properties\": {\n \"brandName\": {\"type\": \"string\"},\n \"brandTone\": {\"type\": \"string\"},\n \"brandVoice\": {\"type\": \"string\"},\n \"colorTheme\": {\"type\": \"string\"},\n \"backgroundStyle\": {\"type\": \"string\"},\n \"lightingStyle\": {\"type\": \"string\"},\n \"productPlacement\": {\"type\": \"string\"},\n \"typographyStyle\": {\"type\": \"string\"},\n \"compositionGuidelines\": {\"type\": \"string\"}\n }\n },\n \"campaignStrategy\": {\n \"type\": \"object\",\n \"properties\": {\n \"primaryObjective\": {\"type\": \"string\"},\n \"secondaryObjectives\": {\n \"type\": \"array\",\n \"items\": {\"type\": \"string\"}\n },\n \"targetChannels\": {\n \"type\": \"array\",\n \"items\": {\"type\": \"string\"}\n },\n \"messagingPillars\": {\n \"type\": \"array\",\n \"items\": {\"type\": \"string\"}\n },\n \"campaignTheme\": {\"type\": \"string\"}\n }\n },\n \"assets\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"assetType\": {\"type\": \"string\"},\n \"purpose\": {\"type\": \"string\"},\n \"backgroundTone\": {\"type\": \"string\"},\n \"surfaceType\": {\"type\": \"string\"},\n \"accentProp\": {\"type\": \"string\"},\n \"lighting\": {\"type\": \"string\"},\n \"cameraAngle\": {\"type\": \"string\"},\n \"overlayText\": {\"type\": \"string\"},\n \"priority\": {\"type\": \"string\"}\n }\n }\n }\n }\n}"
455
+ },
456
+ "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
457
+ "typeVersion": 1.2,
458
+ "position": [
459
+ -820,
460
+ 480
461
+ ],
462
+ "id": "d6d8de57-c473-4ff8-9e22-295780ee9e2b",
463
+ "name": "Structured Output Parser1"
464
+ },
465
+ {
466
+ "parameters": {
467
+ "operation": "toBinary",
468
+ "sourceProperty": "data[0].b64_json",
469
+ "options": {}
470
+ },
471
+ "type": "n8n-nodes-base.convertToFile",
472
+ "typeVersion": 1.1,
473
+ "position": [
474
+ 20,
475
+ -180
476
+ ],
477
+ "id": "e92ba30b-05c7-490a-9cb7-de7ce6cc4d9e",
478
+ "name": "Convert to File1"
479
+ },
480
+ {
481
+ "parameters": {
482
+ "operation": "toBinary",
483
+ "sourceProperty": "data[0].b64_json",
484
+ "options": {}
485
+ },
486
+ "type": "n8n-nodes-base.convertToFile",
487
+ "typeVersion": 1.1,
488
+ "position": [
489
+ 20,
490
+ 60
491
+ ],
492
+ "id": "0d788f80-4c13-4d07-b6eb-e3e24a10c4f3",
493
+ "name": "Convert to File2"
494
+ },
495
+ {
496
+ "parameters": {
497
+ "operation": "toBinary",
498
+ "sourceProperty": "data[0].b64_json",
499
+ "options": {}
500
+ },
501
+ "type": "n8n-nodes-base.convertToFile",
502
+ "typeVersion": 1.1,
503
+ "position": [
504
+ 20,
505
+ 360
506
+ ],
507
+ "id": "56e673b3-b0a2-404d-b386-f8b1c58d52fa",
508
+ "name": "Convert to File3"
509
+ },
510
+ {
511
+ "parameters": {
512
+ "operation": "toBinary",
513
+ "sourceProperty": "data[0].b64_json",
514
+ "options": {}
515
+ },
516
+ "type": "n8n-nodes-base.convertToFile",
517
+ "typeVersion": 1.1,
518
+ "position": [
519
+ 20,
520
+ 680
521
+ ],
522
+ "id": "d4a9ee29-0f83-4b36-bf6c-a9ef19e49e8a",
523
+ "name": "Convert to File4"
524
+ },
525
+ {
526
+ "parameters": {
527
+ "method": "POST",
528
+ "url": "https://api.openai.com/v1/images/edits",
529
+ "authentication": "predefinedCredentialType",
530
+ "nodeCredentialType": "openAiApi",
531
+ "sendHeaders": true,
532
+ "headerParameters": {
533
+ "parameters": [
534
+ {
535
+ "name": "Content-Type",
536
+ "value": "application/json"
537
+ }
538
+ ]
539
+ },
540
+ "sendBody": true,
541
+ "contentType": "multipart-form-data",
542
+ "bodyParameters": {
543
+ "parameters": [
544
+ {
545
+ "name": "model",
546
+ "value": "gpt-image-1"
547
+ },
548
+ {
549
+ "parameterType": "formBinaryData",
550
+ "name": "image",
551
+ "inputDataFieldName": "=image"
552
+ },
553
+ {
554
+ "name": "prompt",
555
+ "value": "=Generate a photorealistic Instagram Post of {{ $json.product.name }} on {{ $json.backgroundTone }} background with {{ $json.surfaceType }} surface. Add {{ $json.accentProp }} as accent. Use {{ $json.lighting }} lighting from {{ $json.cameraAngle }}. Brand: {{ $json.brand.brandTone }}. Text: '{{ $json.overlayText }}'. Keep exact product from reference image."
556
+ },
557
+ {
558
+ "name": "size",
559
+ "value": "auto"
560
+ }
561
+ ]
562
+ },
563
+ "options": {
564
+ "timeout": 90000
565
+ }
566
+ },
567
+ "id": "e97b0490-bb4b-47f5-a441-5497dceebfee",
568
+ "name": "Instagram_Post",
569
+ "type": "n8n-nodes-base.httpRequest",
570
+ "typeVersion": 4.2,
571
+ "position": [
572
+ -220,
573
+ -500
574
+ ],
575
+ "credentials": {
576
+ "openAiApi": {
577
+ "id": "jJ43azhw4WsPfIMK",
578
+ "name": "OpenAi account"
579
+ }
580
+ }
581
+ },
582
+ {
583
+ "parameters": {
584
+ "method": "POST",
585
+ "url": "https://api.openai.com/v1/images/edits",
586
+ "authentication": "predefinedCredentialType",
587
+ "nodeCredentialType": "openAiApi",
588
+ "sendHeaders": true,
589
+ "headerParameters": {
590
+ "parameters": [
591
+ {
592
+ "name": "Content-Type",
593
+ "value": "application/json"
594
+ }
595
+ ]
596
+ },
597
+ "sendBody": true,
598
+ "contentType": "multipart-form-data",
599
+ "bodyParameters": {
600
+ "parameters": [
601
+ {
602
+ "name": "model",
603
+ "value": "gpt-image-1"
604
+ },
605
+ {
606
+ "parameterType": "formBinaryData",
607
+ "name": "image",
608
+ "inputDataFieldName": "=image"
609
+ },
610
+ {
611
+ "name": "prompt",
612
+ "value": "=Generate a photorealistic Instagram Post of {{ $json.product.name }} on {{ $json.backgroundTone }} background with {{ $json.surfaceType }} surface. Add {{ $json.accentProp }} as accent. Use {{ $json.lighting }} lighting from {{ $json.cameraAngle }}. Brand: {{ $json.brand.brandTone }}. Text: '{{ $json.overlayText }}'. Keep exact product from reference image."
613
+ },
614
+ {
615
+ "name": "size",
616
+ "value": "auto"
617
+ }
618
+ ]
619
+ },
620
+ "options": {
621
+ "timeout": 90000
622
+ }
623
+ },
624
+ "id": "f278030b-135f-468a-a89d-721cc755bb62",
625
+ "name": "Instagram_Story",
626
+ "type": "n8n-nodes-base.httpRequest",
627
+ "typeVersion": 4.2,
628
+ "position": [
629
+ -220,
630
+ -180
631
+ ],
632
+ "credentials": {
633
+ "openAiApi": {
634
+ "id": "jJ43azhw4WsPfIMK",
635
+ "name": "OpenAi account"
636
+ }
637
+ }
638
+ },
639
+ {
640
+ "parameters": {
641
+ "method": "POST",
642
+ "url": "https://api.openai.com/v1/images/edits",
643
+ "authentication": "predefinedCredentialType",
644
+ "nodeCredentialType": "openAiApi",
645
+ "sendHeaders": true,
646
+ "headerParameters": {
647
+ "parameters": [
648
+ {
649
+ "name": "Content-Type",
650
+ "value": "application/json"
651
+ }
652
+ ]
653
+ },
654
+ "sendBody": true,
655
+ "contentType": "multipart-form-data",
656
+ "bodyParameters": {
657
+ "parameters": [
658
+ {
659
+ "name": "model",
660
+ "value": "gpt-image-1"
661
+ },
662
+ {
663
+ "parameterType": "formBinaryData",
664
+ "name": "image",
665
+ "inputDataFieldName": "=image"
666
+ },
667
+ {
668
+ "name": "prompt",
669
+ "value": "=Generate a photorealistic Instagram Post of {{ $json.product.name }} on {{ $json.backgroundTone }} background with {{ $json.surfaceType }} surface. Add {{ $json.accentProp }} as accent. Use {{ $json.lighting }} lighting from {{ $json.cameraAngle }}. Brand: {{ $json.brand.brandTone }}. Text: '{{ $json.overlayText }}'. Keep exact product from reference image."
670
+ },
671
+ {
672
+ "name": "size",
673
+ "value": "auto"
674
+ }
675
+ ]
676
+ },
677
+ "options": {
678
+ "timeout": 90000
679
+ }
680
+ },
681
+ "id": "8eda58d7-7d0d-4437-b45a-037b58587858",
682
+ "name": "Website_Banner",
683
+ "type": "n8n-nodes-base.httpRequest",
684
+ "typeVersion": 4.2,
685
+ "position": [
686
+ -220,
687
+ 60
688
+ ],
689
+ "credentials": {
690
+ "openAiApi": {
691
+ "id": "jJ43azhw4WsPfIMK",
692
+ "name": "OpenAi account"
693
+ }
694
+ }
695
+ },
696
+ {
697
+ "parameters": {
698
+ "method": "POST",
699
+ "url": "https://api.openai.com/v1/images/edits",
700
+ "authentication": "predefinedCredentialType",
701
+ "nodeCredentialType": "openAiApi",
702
+ "sendHeaders": true,
703
+ "headerParameters": {
704
+ "parameters": [
705
+ {
706
+ "name": "Content-Type",
707
+ "value": "application/json"
708
+ }
709
+ ]
710
+ },
711
+ "sendBody": true,
712
+ "contentType": "multipart-form-data",
713
+ "bodyParameters": {
714
+ "parameters": [
715
+ {
716
+ "name": "model",
717
+ "value": "gpt-image-1"
718
+ },
719
+ {
720
+ "parameterType": "formBinaryData",
721
+ "name": "image",
722
+ "inputDataFieldName": "=image"
723
+ },
724
+ {
725
+ "name": "prompt",
726
+ "value": "=Generate a photorealistic Instagram Post of {{ $json.product.name }} on {{ $json.backgroundTone }} background with {{ $json.surfaceType }} surface. Add {{ $json.accentProp }} as accent. Use {{ $json.lighting }} lighting from {{ $json.cameraAngle }}. Brand: {{ $json.brand.brandTone }}. Text: '{{ $json.overlayText }}'. Keep exact product from reference image."
727
+ },
728
+ {
729
+ "name": "size",
730
+ "value": "auto"
731
+ }
732
+ ]
733
+ },
734
+ "options": {
735
+ "timeout": 90000
736
+ }
737
+ },
738
+ "id": "fb21eece-d584-408e-ba4b-5d86a43ef9fb",
739
+ "name": "Ad_Creative",
740
+ "type": "n8n-nodes-base.httpRequest",
741
+ "typeVersion": 4.2,
742
+ "position": [
743
+ -220,
744
+ 360
745
+ ],
746
+ "credentials": {
747
+ "openAiApi": {
748
+ "id": "jJ43azhw4WsPfIMK",
749
+ "name": "OpenAi account"
750
+ }
751
+ }
752
+ },
753
+ {
754
+ "parameters": {
755
+ "method": "POST",
756
+ "url": "https://api.openai.com/v1/images/edits",
757
+ "authentication": "predefinedCredentialType",
758
+ "nodeCredentialType": "openAiApi",
759
+ "sendHeaders": true,
760
+ "headerParameters": {
761
+ "parameters": [
762
+ {
763
+ "name": "Content-Type",
764
+ "value": "application/json"
765
+ }
766
+ ]
767
+ },
768
+ "sendBody": true,
769
+ "contentType": "multipart-form-data",
770
+ "bodyParameters": {
771
+ "parameters": [
772
+ {
773
+ "name": "model",
774
+ "value": "gpt-image-1"
775
+ },
776
+ {
777
+ "parameterType": "formBinaryData",
778
+ "name": "image",
779
+ "inputDataFieldName": "=image"
780
+ },
781
+ {
782
+ "name": "prompt",
783
+ "value": "=Generate a photorealistic Instagram Post of {{ $json.product.name }} on {{ $json.backgroundTone }} background with {{ $json.surfaceType }} surface. Add {{ $json.accentProp }} as accent. Use {{ $json.lighting }} lighting from {{ $json.cameraAngle }}. Brand: {{ $json.brand.brandTone }}. Text: '{{ $json.overlayText }}'. Keep exact product from reference image."
784
+ },
785
+ {
786
+ "name": "size",
787
+ "value": "auto"
788
+ }
789
+ ]
790
+ },
791
+ "options": {
792
+ "timeout": 90000
793
+ }
794
+ },
795
+ "id": "2015afa3-a144-4986-82e6-926646c175e6",
796
+ "name": "Testimonials",
797
+ "type": "n8n-nodes-base.httpRequest",
798
+ "typeVersion": 4.2,
799
+ "position": [
800
+ -220,
801
+ 680
802
+ ],
803
+ "credentials": {
804
+ "openAiApi": {
805
+ "id": "jJ43azhw4WsPfIMK",
806
+ "name": "OpenAi account"
807
+ }
808
+ }
809
+ },
810
+ {
811
+ "parameters": {
812
+ "content": "## Product Image and Characteristics Form",
813
+ "height": 420,
814
+ "width": 720,
815
+ "color": 3
816
+ },
817
+ "type": "n8n-nodes-base.stickyNote",
818
+ "position": [
819
+ -1140,
820
+ -420
821
+ ],
822
+ "typeVersion": 1,
823
+ "id": "c2619198-0ede-4d30-9548-2e88785b0e69",
824
+ "name": "Sticky Note"
825
+ },
826
+ {
827
+ "parameters": {
828
+ "promptType": "define",
829
+ "text": "=VISUAL & TEXT ANALYSIS: \nAnalyze the uploaded product image to extract exact colors, materials, styling, and any visible branding. Then combine this with the provided product information.\n\nProduct Name: {{ $('On form submission').item.json[\"What is the product's name?\"] }}\nTagline: {{ $('On form submission').item.json[\"What is the Product Tagline?\"] }}\nDescription: {{ $('On form submission').item.json[\"Product Description\"] }}\nCategory: {{ $('On form submission').item.json[\"What is the Product Category?\"] }}\nBenefit: {{ $('On form submission').item.json[\"Highlighted Benefit\"] }}\n\nBased on BOTH the visual analysis of the image AND the text information above, create a comprehensive marketing campaign strategy.\n\n**CRITICAL**: You must include all sections in your response:\n1. productAnalysis\n2. brandStrategy (using colors from the actual image)\n3. campaignStrategy \n4. **assets** (REQUIRED: Generate exactly 5 marketing assets)\n\nThe assets array must include these 5 asset types with complete creative direction:\n- Instagram Post\n- Instagram Story \n- Website Banner\n- Ad Creative\n- Testimonial Graphic\n\nFor each asset, provide: assetType, purpose, backgroundTone, surfaceType, accentProp, lighting, cameraAngle, overlayText, priority\n\nReturn the complete JSON structure as specified in the schema.",
830
+ "hasOutputParser": true,
831
+ "options": {
832
+ "systemMessage": "You are an advanced AI marketing strategist and visual analyst. You can see and analyze product images to create comprehensive marketing campaigns.\n\nIMPORTANT: You will receive a product image along with text information. Analyze both the visual and textual data to create the most accurate marketing strategy.\n\nVISUAL ANALYSIS: Use the uploaded image to extract exact colors, materials, style, and branding elements.\n\nYOUR TASK: Create a complete marketing campaign strategy that includes:\n1. Product analysis based on visual and text data\n2. Brand strategy with colors extracted from the image\n3. Campaign strategy \n4. MOST IMPORTANT: Generate 5 specific marketing assets with detailed creative direction\n\nYou MUST return the complete JSON structure including the assets array with all 5 asset types.",
833
+ "passthroughBinaryImages": true
834
+ }
835
+ },
836
+ "type": "@n8n/n8n-nodes-langchain.agent",
837
+ "typeVersion": 1.9,
838
+ "position": [
839
+ -980,
840
+ 280
841
+ ],
842
+ "id": "657cf9bc-40d1-4681-9121-462057ccd630",
843
+ "name": "Image & Text Analyzer"
844
+ },
845
+ {
846
+ "parameters": {
847
+ "content": "## Instagram Post Generation",
848
+ "height": 220,
849
+ "width": 1100,
850
+ "color": 4
851
+ },
852
+ "type": "n8n-nodes-base.stickyNote",
853
+ "position": [
854
+ -320,
855
+ -560
856
+ ],
857
+ "typeVersion": 1,
858
+ "id": "c5c5cdab-bf5b-4e78-b4d7-ff0b48dace3b",
859
+ "name": "Sticky Note1"
860
+ },
861
+ {
862
+ "parameters": {
863
+ "content": "## Instagram Story Generation",
864
+ "height": 220,
865
+ "width": 1100,
866
+ "color": 6
867
+ },
868
+ "type": "n8n-nodes-base.stickyNote",
869
+ "position": [
870
+ -320,
871
+ -260
872
+ ],
873
+ "typeVersion": 1,
874
+ "id": "ef4e1ede-11dc-4e45-aa89-9fe99616e2f7",
875
+ "name": "Sticky Note2"
876
+ },
877
+ {
878
+ "parameters": {
879
+ "content": "## Website Banner Generation",
880
+ "height": 220,
881
+ "width": 1100,
882
+ "color": 7
883
+ },
884
+ "type": "n8n-nodes-base.stickyNote",
885
+ "position": [
886
+ -320,
887
+ 0
888
+ ],
889
+ "typeVersion": 1,
890
+ "id": "2e17ad69-bcf7-4dff-9b6f-0e272586e2fe",
891
+ "name": "Sticky Note3"
892
+ },
893
+ {
894
+ "parameters": {
895
+ "content": "## Ad Creative Generation",
896
+ "height": 260,
897
+ "width": 1100,
898
+ "color": 2
899
+ },
900
+ "type": "n8n-nodes-base.stickyNote",
901
+ "position": [
902
+ -320,
903
+ 280
904
+ ],
905
+ "typeVersion": 1,
906
+ "id": "6ddca712-6976-40d5-9e3d-39c011043bba",
907
+ "name": "Sticky Note4"
908
+ },
909
+ {
910
+ "parameters": {
911
+ "content": "## Testimonials Generation",
912
+ "height": 260,
913
+ "width": 1100,
914
+ "color": 7
915
+ },
916
+ "type": "n8n-nodes-base.stickyNote",
917
+ "position": [
918
+ -320,
919
+ 580
920
+ ],
921
+ "typeVersion": 1,
922
+ "id": "48603533-a7bc-44dd-8570-1bef055dce4b",
923
+ "name": "Sticky Note5"
924
+ },
925
+ {
926
+ "parameters": {
927
+ "content": "## Advanced AI marketing strategist",
928
+ "height": 500,
929
+ "width": 480
930
+ },
931
+ "type": "n8n-nodes-base.stickyNote",
932
+ "position": [
933
+ -1100,
934
+ 140
935
+ ],
936
+ "typeVersion": 1,
937
+ "id": "eee05105-7ba1-4ef9-88e9-b4cbcb081161",
938
+ "name": "Sticky Note6"
939
+ }
940
+ ],
941
+ "pinData": {
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+ "On form submission": [
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