This workflow follows the Editimage → HTTP Request 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 →
{
"name": "Image Generation Workflow",
"nodes": [
{
"parameters": {
"httpMethod": "POST",
"path": "image/generate",
"responseMode": "responseNode",
"options": {}
},
"id": "webhook-image-gen",
"name": "Webhook - Generate Image",
"type": "n8n-nodes-base.webhook",
"typeVersion": 1,
"position": [
250,
300
]
},
{
"parameters": {
"operation": "executeQuery",
"query": "SELECT cd.*, c.branding_json FROM content_drafts cd JOIN campaigns c ON cd.campaign_id = c.id WHERE cd.id = {{ $json.body.draft_id }}",
"additionalFields": {}
},
"id": "get-content",
"name": "Get Content Draft",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2,
"position": [
450,
300
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "http://langchain-service:8001/chains/image-prompt-builder",
"method": "POST",
"bodyParametersJson": "={\n \"content_description\": \"{{ $json.content }}\",\n \"content_type\": \"{{ $json.type }}\",\n \"platform\": \"{{ $('Webhook - Generate Image').item.json.body.platform || 'linkedin' }}\",\n \"brand_colors\": {{ $json.branding_json.primary_color ? `[\"${$json.branding_json.primary_color}\", \"${$json.branding_json.secondary_color}\"]` : '[]' }},\n \"brand_style\": \"{{ $json.branding_json.brand_voice || 'professional' }}\"\n}",
"options": {}
},
"id": "build-prompts",
"name": "Build Image Prompts",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
650,
300
]
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "condition-dalle",
"leftValue": "={{ $('Webhook - Generate Image').item.json.body.provider || 'dalle' }}",
"rightValue": "dalle",
"operator": {
"type": "string",
"operation": "equals"
}
}
],
"combinator": "and"
},
"options": {}
},
"id": "if-dalle",
"name": "If DALL-E Provider",
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
850,
300
]
},
{
"parameters": {
"url": "http://langchain-service:8001/agents/image",
"method": "POST",
"bodyParametersJson": "={\n \"provider\": \"dalle\",\n \"prompt\": \"{{ $('Build Image Prompts').item.json.dalle_prompt }}\",\n \"size\": \"{{ $('Webhook - Generate Image').item.json.body.size || '1024x1024' }}\",\n \"quality\": \"{{ $('Webhook - Generate Image').item.json.body.quality || 'standard' }}\",\n \"style\": \"{{ $('Webhook - Generate Image').item.json.body.style || 'vivid' }}\"\n}",
"options": {
"timeout": 120000
}
},
"id": "generate-dalle",
"name": "Generate with DALL-E 3",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
1050,
200
]
},
{
"parameters": {
"url": "http://langchain-service:8001/agents/image",
"method": "POST",
"bodyParametersJson": "={\n \"provider\": \"midjourney\",\n \"prompt\": \"{{ $('Build Image Prompts').item.json.midjourney_prompt }}\",\n \"aspect_ratio\": \"{{ $('Webhook - Generate Image').item.json.body.aspect_ratio || '16:9' }}\",\n \"version\": \"{{ $('Webhook - Generate Image').item.json.body.mj_version || '6' }}\",\n \"stylize\": {{ $('Webhook - Generate Image').item.json.body.stylize || 100 }}\n}",
"options": {
"timeout": 180000
}
},
"id": "generate-midjourney",
"name": "Generate with Midjourney",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
1050,
400
]
},
{
"parameters": {
"url": "={{ $json.image_url }}",
"method": "GET",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"id": "download-image",
"name": "Download Image",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
1250,
300
]
},
{
"parameters": {
"operation": "text",
"binaryPropertyName": "data",
"text": "={{ $('Get Content Draft').item.json.branding_json.logo_url || 'Brand' }}",
"fontSize": 24,
"fontColor": "#FFFFFF",
"positionX": 20,
"positionY": 20,
"options": {
"backgroundColor": "rgba(0,0,0,0.7)",
"backgroundPadding": 10
}
},
"id": "add-watermark",
"name": "Add Brand Watermark",
"type": "n8n-nodes-base.editImage",
"typeVersion": 1,
"position": [
1450,
300
]
},
{
"parameters": {
"operation": "resize",
"binaryPropertyName": "data",
"width": "={{ $('Webhook - Generate Image').item.json.body.final_width || 1200 }}",
"height": "={{ $('Webhook - Generate Image').item.json.body.final_height || 628 }}",
"resizeOption": "fitImage",
"options": {}
},
"id": "resize-image",
"name": "Resize to Platform Specs",
"type": "n8n-nodes-base.editImage",
"typeVersion": 1,
"position": [
1450,
450
]
},
{
"parameters": {
"operation": "compress",
"binaryPropertyName": "data",
"quality": 85,
"options": {}
},
"id": "optimize-image",
"name": "Optimize Image Quality",
"type": "n8n-nodes-base.editImage",
"typeVersion": 1,
"position": [
1650,
350
]
},
{
"parameters": {
"jsCode": "// Save image to file system and create database record\nconst binary = $input.item.binary.data;\nconst filename = `image_${Date.now()}_${Math.random().toString(36).substring(7)}.png`;\nconst filePath = `/app/media_assets/${filename}`;\n\n// In production, this would save to actual file system or S3\n// For now, we'll store the data URI\n\nconst metadata = {\n draft_id: $('Get Content Draft').item.json.id,\n type: 'image',\n file_path: filePath,\n url: `http://localhost:8000/media/${filename}`,\n prompt: $('Build Image Prompts').item.json.dalle_prompt || $('Build Image Prompts').item.json.midjourney_prompt,\n api_provider: $('Webhook - Generate Image').item.json.body.provider || 'dalle',\n metadata_json: {\n dimensions: {\n width: $('Webhook - Generate Image').item.json.body.final_width || 1200,\n height: $('Webhook - Generate Image').item.json.body.final_height || 628\n },\n format: 'png',\n size_bytes: binary.length,\n prompt_params: {\n platform: $('Webhook - Generate Image').item.json.body.platform || 'linkedin',\n quality: $('Webhook - Generate Image').item.json.body.quality || 'standard',\n style: $('Webhook - Generate Image').item.json.body.style || 'vivid'\n },\n brand_colors: $('Get Content Draft').item.json.branding_json.primary_color ? [\n $('Get Content Draft').item.json.branding_json.primary_color,\n $('Get Content Draft').item.json.branding_json.secondary_color\n ] : [],\n generated_at: new Date().toISOString()\n }\n};\n\nreturn metadata;"
},
"id": "prepare-media-record",
"name": "Prepare Media Asset Record",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
1850,
350
]
},
{
"parameters": {
"operation": "insert",
"table": "media_assets",
"columns": "draft_id, type, file_path, url, prompt, api_provider, metadata_json, created_at",
"returnFields": "id, draft_id, url, type",
"additionalFields": {}
},
"id": "save-media",
"name": "Save Media Asset",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2,
"position": [
2050,
350
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "update",
"table": "content_drafts",
"updateKey": "id",
"columns": "status",
"additionalFields": {
"additionalFields": [
{
"name": "updated_at",
"value": "=NOW()"
}
]
}
},
"id": "update-draft-status",
"name": "Update Draft Status",
"type": "n8n-nodes-base.postgres",
"typeVersion": 2,
"position": [
2050,
500
],
"credentials": {
"postgres": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"url": "http://localhost:5678/webhook/content-review",
"method": "POST",
"bodyParametersJson": "={\n \"draft_id\": {{ $json.draft_id }},\n \"media_asset_id\": {{ $json.id }},\n \"action\": \"media_ready_for_review\",\n \"media_url\": \"{{ $json.url }}\",\n \"media_type\": \"{{ $json.type }}\",\n \"dashboard_url\": \"http://localhost:8501/media_review?asset_id={{ $json.id }}\"\n}",
"options": {}
},
"id": "notify-review",
"name": "Notify Review Dashboard",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4,
"position": [
2250,
350
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={\n \"success\": true,\n \"message\": \"Image generated successfully\",\n \"asset_id\": {{ $json.id }},\n \"draft_id\": {{ $json.draft_id }},\n \"image_url\": \"{{ $json.url }}\",\n \"provider\": \"{{ $('Webhook - Generate Image').item.json.body.provider || 'dalle' }}\",\n \"dimensions\": {\n \"width\": {{ $('Webhook - Generate Image').item.json.body.final_width || 1200 }},\n \"height\": {{ $('Webhook - Generate Image').item.json.body.final_height || 628 }}\n },\n \"prompt_used\": \"{{ $('Build Image Prompts').item.json.dalle_prompt || $('Build Image Prompts').item.json.midjourney_prompt }}\",\n \"status\": \"ready_for_review\",\n \"review_url\": \"http://localhost:8501/media_review?asset_id={{ $json.id }}\"\n}",
"options": {}
},
"id": "response-success",
"name": "Respond Success",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1,
"position": [
2450,
350
]
}
],
"connections": {
"Webhook - Generate Image": {
"main": [
[
{
"node": "Get Content Draft",
"type": "main",
"index": 0
}
]
]
},
"Get Content Draft": {
"main": [
[
{
"node": "Build Image Prompts",
"type": "main",
"index": 0
}
]
]
},
"Build Image Prompts": {
"main": [
[
{
"node": "If DALL-E Provider",
"type": "main",
"index": 0
}
]
]
},
"If DALL-E Provider": {
"main": [
[
{
"node": "Generate with DALL-E 3",
"type": "main",
"index": 0
}
],
[
{
"node": "Generate with Midjourney",
"type": "main",
"index": 0
}
]
]
},
"Generate with DALL-E 3": {
"main": [
[
{
"node": "Download Image",
"type": "main",
"index": 0
}
]
]
},
"Generate with Midjourney": {
"main": [
[
{
"node": "Download Image",
"type": "main",
"index": 0
}
]
]
},
"Download Image": {
"main": [
[
{
"node": "Add Brand Watermark",
"type": "main",
"index": 0
},
{
"node": "Resize to Platform Specs",
"type": "main",
"index": 0
}
]
]
},
"Add Brand Watermark": {
"main": [
[
{
"node": "Optimize Image Quality",
"type": "main",
"index": 0
}
]
]
},
"Resize to Platform Specs": {
"main": [
[
{
"node": "Optimize Image Quality",
"type": "main",
"index": 0
}
]
]
},
"Optimize Image Quality": {
"main": [
[
{
"node": "Prepare Media Asset Record",
"type": "main",
"index": 0
}
]
]
},
"Prepare Media Asset Record": {
"main": [
[
{
"node": "Save Media Asset",
"type": "main",
"index": 0
}
]
]
},
"Save Media Asset": {
"main": [
[
{
"node": "Update Draft Status",
"type": "main",
"index": 0
},
{
"node": "Notify Review Dashboard",
"type": "main",
"index": 0
}
]
]
},
"Notify Review Dashboard": {
"main": [
[
{
"node": "Respond Success",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
},
"staticData": null,
"tags": [],
"triggerCount": 1,
"updatedAt": "2024-01-15T00:00:00.000Z",
"versionId": "1"
}
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.
postgres
Pro
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About this workflow
Image Generation Workflow. Uses postgres, httpRequest, editImage. Webhook trigger; 15 nodes.
Source: https://github.com/Yaakovyitzchak1231/CLAUDE-CODE_Marketing-Agent/blob/a9f11690dfb44a4e0f520ab2cd1436f06b18c442/n8n-workflows/image_generation.json — original creator credit. Request a take-down →
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