The workflow JSON
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{
"name": "image_generate_3",
"nodes": [
{
"parameters": {
"path": "/generate-image",
"responseMode": "responseNode",
"options": {
"rawBody": false
}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
-820,
300
],
"id": "98b0280f-f8f4-4af2-9970-dab79807e46c",
"name": "Image Generation Webhook"
},
{
"parameters": {
"jsCode": "// Rate limiting check\nconst currentTime = Date.now();\nconst rateLimitWindow = 60000; // 1 minute\nconst maxRequestsPerWindow = 10;\n\n// Get client IP or user identifier\nconst clientId = $input.first().json.headers['x-forwarded-for'] || \n $input.first().json.headers['x-real-ip'] || \n $input.first().json.headers['cf-connecting-ip'] || \n 'anonymous';\n\n// Simple in-memory rate limiting (in production, use Redis)\nif (!global.rateLimitStore) {\n global.rateLimitStore = {};\n}\n\nif (!global.rateLimitStore[clientId]) {\n global.rateLimitStore[clientId] = [];\n}\n\n// Clean old entries\nglobal.rateLimitStore[clientId] = global.rateLimitStore[clientId].filter(\n timestamp => currentTime - timestamp < rateLimitWindow\n);\n\n// Check if rate limit exceeded\nif (global.rateLimitStore[clientId].length >= maxRequestsPerWindow) {\n return {\n rateLimitExceeded: true,\n clientId,\n requestCount: global.rateLimitStore[clientId].length,\n resetTime: Math.min(...global.rateLimitStore[clientId]) + rateLimitWindow\n };\n}\n\n// Add current request\nglobal.rateLimitStore[clientId].push(currentTime);\n\nreturn {\n rateLimitExceeded: false,\n clientId,\n requestCount: global.rateLimitStore[clientId].length,\n ...($input.first().json)\n};"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
-600,
300
],
"id": "695ef1ac-b071-46c4-a1a4-813cfbf5c004",
"name": "Rate Limiter"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "rate-limit-check",
"leftValue": "={{ $json.rateLimitExceeded }}",
"rightValue": true,
"operator": {
"type": "boolean",
"operation": "equal"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
-380,
300
],
"id": "b5a035bb-0b87-4218-89ea-c37717615034",
"name": "Rate Limit Check"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "validation-1",
"leftValue": "={{ $json.query.message }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty"
}
},
{
"id": "validation-2",
"leftValue": "={{ $json.query.message.length }}",
"rightValue": 500,
"operator": {
"type": "number",
"operation": "smallerEqual"
}
},
{
"id": "validation-3",
"leftValue": "={{ $json.query.message.length }}",
"rightValue": 3,
"operator": {
"type": "number",
"operation": "largerEqual"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
-160,
200
],
"id": "3358679c-ee5c-46ce-9349-c0c1ab5c4567",
"name": "Enhanced Input Validation"
},
{
"parameters": {
"jsCode": "// Enhanced prompt processing and API configuration\nconst originalPrompt = $input.first().json.query.message;\nconst style = $input.first().json.query.style || 'photorealistic';\nconst size = $input.first().json.query.size || '1024x1024';\nconst seed = $input.first().json.query.seed || Math.floor(Math.random() * 1000000);\nconst model = $input.first().json.query.model || 'flux';\nconst quality = $input.first().json.query.quality || 'high';\n\n// Content filtering - basic inappropriate content detection\nconst inappropriateTerms = ['nude', 'naked', 'nsfw', 'explicit', 'sexual', 'porn', 'xxx'];\nconst containsInappropriate = inappropriateTerms.some(term => \n originalPrompt.toLowerCase().includes(term.toLowerCase())\n);\n\nif (containsInappropriate) {\n return {\n error: 'Content policy violation',\n message: 'The prompt contains inappropriate content that cannot be processed.',\n code: 'CONTENT_VIOLATION'\n };\n}\n\n// Enhanced prompt based on style with better descriptions\nlet enhancedPrompt = originalPrompt;\nlet styleModifiers = '';\n\nswitch(style.toLowerCase()) {\n case 'artistic':\n styleModifiers = 'oil painting, masterpiece, highly detailed, vibrant colors, professional artwork, fine art';\n break;\n case 'photorealistic':\n styleModifiers = 'photorealistic, high resolution, professional photography, 8k, ultra-detailed, sharp focus';\n break;\n case 'cartoon':\n styleModifiers = 'cartoon style, animated, colorful, Disney-like, cel-shaded, illustration';\n break;\n case 'cyberpunk':\n styleModifiers = 'cyberpunk style, neon lights, futuristic, dark atmosphere, sci-fi, digital art';\n break;\n case 'fantasy':\n styleModifiers = 'fantasy art, magical, mystical, epic, detailed fantasy illustration';\n break;\n case 'minimalist':\n styleModifiers = 'minimalist, clean, simple, elegant, modern design';\n break;\n case 'vintage':\n styleModifiers = 'vintage style, retro, classic, aged, nostalgic';\n break;\n default:\n styleModifiers = 'high quality, detailed, professional';\n}\n\n// Quality modifiers\nlet qualityModifiers = '';\nswitch(quality.toLowerCase()) {\n case 'high':\n qualityModifiers = 'best quality, ultra detailed, 4k, hdr';\n break;\n case 'medium':\n qualityModifiers = 'good quality, detailed';\n break;\n case 'low':\n qualityModifiers = 'standard quality';\n break;\n}\n\nenhancedPrompt = `${originalPrompt}, ${styleModifiers}, ${qualityModifiers}`;\n\n// Parse size\nconst [width, height] = size.split('x').map(Number);\n\n// Validate dimensions\nif (width > 2048 || height > 2048 || width < 256 || height < 256) {\n return {\n error: 'Invalid dimensions',\n message: 'Image dimensions must be between 256x256 and 2048x2048',\n code: 'INVALID_DIMENSIONS'\n };\n}\n\n// Multiple API providers for better reliability\nconst apiConfigs = [\n {\n name: 'Pollinations AI - Flux',\n url: `https://image.pollinations.ai/prompt/${encodeURIComponent(enhancedPrompt)}?model=flux&width=${width}&height=${height}&seed=${seed}&enhance=true`,\n priority: 1\n },\n {\n name: 'Pollinations AI - Turbo',\n url: `https://image.pollinations.ai/prompt/${encodeURIComponent(enhancedPrompt)}?model=turbo&width=${width}&height=${height}&seed=${seed}`,\n priority: 2\n },\n {\n name: 'Pollinations AI - Default',\n url: `https://image.pollinations.ai/prompt/${encodeURIComponent(enhancedPrompt)}?width=${width}&height=${height}&seed=${seed}`,\n priority: 3\n }\n];\n\nreturn {\n originalPrompt,\n enhancedPrompt,\n style,\n size,\n width,\n height,\n seed,\n model,\n quality,\n apiConfigs,\n timestamp: new Date().toISOString(),\n requestId: `img_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`\n};"
},
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
60,
100
],
"id": "dd1fb1de-cb3b-4d08-9eeb-2ba33e18279e",
"name": "Enhanced Prompt Processor"
},
{
"parameters": {
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict"
},
"conditions": [
{
"id": "content-check",
"leftValue": "={{ $json.error }}",
"rightValue": "",
"operator": {
"type": "string",
"operation": "notEmpty"
}
}
],
"combinator": "and"
},
"options": {}
},
"type": "n8n-nodes-base.if",
"typeVersion": 2,
"position": [
280,
100
],
"id": "50c98585-23f3-4b54-b68f-0c682fa9dd47",
"name": "Content Filter Check"
},
{
"parameters": {
"url": "={{ $json.apiConfigs[0].url }}",
"options": {
"timeout": 45000
}
},
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
500,
0
],
"id": "cdece44a-4548-4074-a47e-d4899e196449",
"name": "Primary Image API"
},
{
"parameters": {
"enableResponseOutput": true,
"respondWith": "binary",
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.4,
"position": [
720,
0
],
"id": "66fd7faa-92d6-4123-b24a-a5e300c8f9c6",
"name": "Success Response"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.4,
"position": [
-160,
400
],
"id": "3d3213ac-c431-4622-b69d-bb0d568d5234",
"name": "Rate Limit Response"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.4,
"position": [
60,
300
],
"id": "2bfd0d94-e16f-44df-a798-c1cef3c9be73",
"name": "Validation Error Response"
},
{
"parameters": {
"options": {}
},
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.4,
"position": [
500,
200
],
"id": "49113634-2a58-4fd1-ad35-55d261737604",
"name": "Content Error Response"
}
],
"connections": {
"Image Generation Webhook": {
"main": [
[
{
"node": "Rate Limiter",
"type": "main",
"index": 0
}
]
]
},
"Rate Limiter": {
"main": [
[
{
"node": "Rate Limit Check",
"type": "main",
"index": 0
}
]
]
},
"Rate Limit Check": {
"main": [
[
{
"node": "Rate Limit Response",
"type": "main",
"index": 0
}
],
[
{
"node": "Enhanced Input Validation",
"type": "main",
"index": 0
}
]
]
},
"Enhanced Input Validation": {
"main": [
[
{
"node": "Validation Error Response",
"type": "main",
"index": 0
}
],
[
{
"node": "Enhanced Prompt Processor",
"type": "main",
"index": 0
}
]
]
},
"Enhanced Prompt Processor": {
"main": [
[
{
"node": "Content Filter Check",
"type": "main",
"index": 0
}
]
]
},
"Content Filter Check": {
"main": [
[
{
"node": "Content Error Response",
"type": "main",
"index": 0
}
],
[
{
"node": "Primary Image API",
"type": "main",
"index": 0
}
]
]
},
"Primary Image API": {
"main": [
[
{
"node": "Success Response",
"type": "main",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "93a11c4e-c145-4a69-9353-c9384f95d02c",
"id": "n4G8tolJ4U684UIZ",
"tags": []
}
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About this workflow
image_generate_3. Uses httpRequest. Webhook trigger; 11 nodes.
Source: https://github.com/YatharthSanghavi/n8n-image-generator/blob/3982aa60b4cead08c572c2dc22a81b7a3704a1ac/n8n/image_generate_3.json — original creator credit. Request a take-down →
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