This workflow follows the HTTP Request → Telegram 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": "GEMINI 3.1 GENERATE v2",
"nodes": [
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
28992,
20176
],
"id": "9181a364-0ab8-4fff-9b66-3cd6e9adba90",
"name": "When clicking \u2018Execute workflow\u2019"
},
{
"parameters": {
"httpMethod": "POST",
"path": "porto-tools-image",
"authentication": "headerAuth",
"responseMode": "responseNode",
"options": {}
},
"type": "n8n-nodes-base.webhook",
"typeVersion": 2,
"position": [
28992,
20416
],
"id": "74055aca-c88a-47bf-9bb1-e5a5d79b7863",
"name": "Webhook (PORTO)",
"credentials": {
"httpHeaderAuth": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "projectId",
"name": "projectId",
"value": "={{ $env.GCP_PROJECT_ID || 'project-8fa51551-4f6c-4ff6-8b7' }}",
"type": "string"
},
{
"id": "accessToken",
"name": "accessToken",
"value": "={{ $env.GCP_ACCESS_TOKEN }}",
"type": "string"
},
{
"id": "prompt",
"name": "prompt",
"value": "Generate a premium product image on a clean studio background. High detail, realistic lighting, sharp focus.",
"type": "string"
},
{
"id": "aspectRatio",
"name": "aspectRatio",
"value": "1:1",
"type": "string"
},
{
"id": "source",
"name": "source",
"value": "manual",
"type": "string"
},
{
"id": "requestId",
"name": "requestId",
"value": "={{ $now.toISO() }}",
"type": "string"
},
{
"id": "references",
"name": "references",
"value": "={{ [] }}",
"type": "array"
},
{
"id": "referenceMapping",
"name": "referenceMapping",
"value": "={{ ({}) }}",
"type": "object"
}
]
},
"options": {}
},
"id": "5138585b-c3ae-4387-aa82-db02b30067b7",
"name": "Manual Config",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
29312,
20176
]
},
{
"parameters": {
"assignments": {
"assignments": [
{
"id": "projectId",
"name": "projectId",
"value": "={{ $env.GCP_PROJECT_ID || 'project-8fa51551-4f6c-4ff6-8b7' }}",
"type": "string"
},
{
"id": "accessToken",
"name": "accessToken",
"value": "={{ $env.GCP_ACCESS_TOKEN }}",
"type": "string"
},
{
"id": "prompt",
"name": "prompt",
"value": "={{ $json.body.prompt }}",
"type": "string"
},
{
"id": "aspectRatio",
"name": "aspectRatio",
"value": "={{ $json.body.aspectRatio || '1:1' }}",
"type": "string"
},
{
"id": "source",
"name": "source",
"value": "porto-web",
"type": "string"
},
{
"id": "requestId",
"name": "requestId",
"value": "={{ $json.body.requestId }}",
"type": "string"
},
{
"id": "userEmail",
"name": "userEmail",
"value": "={{ $json.body.userEmail }}",
"type": "string"
},
{
"id": "references",
"name": "references",
"value": "={{ $json.body.references || [] }}",
"type": "array"
},
{
"id": "referenceMapping",
"name": "referenceMapping",
"value": "={{ $json.body.referenceMapping || {} }}",
"type": "object"
}
]
},
"options": {}
},
"id": "99f16994-e25c-4d6e-9041-f7adeefddabc",
"name": "Webhook Config",
"type": "n8n-nodes-base.set",
"typeVersion": 3.4,
"position": [
29312,
20416
]
},
{
"parameters": {
"jsCode": "const refs = Array.isArray($json.references) ? $json.references : [];\nconst downloaded = [];\nfor (const r of refs) {\n if (!r || typeof r.url !== 'string') continue;\n const buf = await this.helpers.httpRequest({\n method: 'GET',\n url: r.url,\n encoding: 'arraybuffer',\n returnFullResponse: false,\n });\n const base64 = Buffer.from(buf).toString('base64');\n downloaded.push({ mimeType: r.mimeType || 'image/png', data: base64 });\n}\nreturn [{ json: { ...$json, refsBase64: downloaded } }];"
},
"id": "c3a91e2f-6b7d-4e8a-9c1f-2d4e5f6a7b8c",
"name": "Download References",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
29504,
20304
]
},
{
"parameters": {
"method": "POST",
"url": "=https://aiplatform.googleapis.com/v1/projects/{{$json.projectId}}/locations/global/publishers/google/models/gemini-3.1-flash-image-preview:generateContent",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "googleApi",
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "=Bearer {{$json.accessToken}}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
},
"sendBody": true,
"specifyBody": "json",
"jsonBody": "={{ (() => { const refs = Array.isArray($json.refsBase64) ? $json.refsBase64 : []; let p = $json.prompt || ''; const map = $json.referenceMapping || {}; for (const [token, idx] of Object.entries(map)) { const num = Number(idx) + 1; p = p.split(token).join('image #' + num); } const parts = refs.map(r => ({ inlineData: { mimeType: r.mimeType, data: r.data } })); parts.push({ text: p }); return { contents: [{ role: 'user', parts }], generationConfig: { responseModalities: ['TEXT', 'IMAGE'], imageConfig: { aspectRatio: $json.aspectRatio } } }; })() }}",
"options": {}
},
"id": "a184784f-f933-4b71-979e-5a95e7d88d76",
"name": "Vertex Gemini 3.1 Image",
"type": "n8n-nodes-base.httpRequest",
"typeVersion": 4.2,
"position": [
29632,
20304
],
"credentials": {
"googleApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"jsCode": "const upstream = $('Vertex Gemini 3.1 Image').first().json;\n\nfunction readConfigNode(nodeName) {\n try {\n const item = $(nodeName).first().json;\n return item?.source ? item : null;\n } catch (error) {\n return null;\n }\n}\n\nfunction asObject(value) {\n return value && typeof value === 'object' && !Array.isArray(value) ? value : null;\n}\n\nfunction asArray(value) {\n return Array.isArray(value) ? value : [];\n}\n\nfunction firstString(...values) {\n for (const value of values) {\n if (typeof value === 'string' && value.trim()) return value.trim();\n }\n return '';\n}\n\nfunction collectParts(response) {\n const candidates = asArray(response?.candidates);\n const parts = [];\n\n for (const candidate of candidates) {\n parts.push(...asArray(candidate?.content?.parts));\n parts.push(...asArray(candidate?.content?.role?.parts));\n }\n\n parts.push(...asArray(response?.content?.parts));\n parts.push(...asArray(response?.parts));\n\n return parts.filter(Boolean);\n}\n\nfunction readInlineData(part) {\n const inlineData = asObject(part?.inlineData) || asObject(part?.inline_data);\n if (!inlineData) return null;\n\n const rawData = firstString(inlineData.data, inlineData.imageBase64, inlineData.base64);\n if (!rawData) return null;\n\n const dataUrlMatch = rawData.match(/^data:([^;]+);base64,(.+)$/);\n const mimeType = firstString(\n inlineData.mimeType,\n inlineData.mime_type,\n dataUrlMatch?.[1],\n 'image/png',\n );\n const imageBase64 = (dataUrlMatch?.[2] || rawData).replace(/\\s+/g, '');\n\n return { mimeType, imageBase64 };\n}\n\nfunction isProbablyBase64(value) {\n return /^[A-Za-z0-9+/]+={0,2}$/.test(value) && value.length % 4 === 0;\n}\n\nfunction extensionFromMime(mimeType) {\n if (mimeType.includes('jpeg') || mimeType.includes('jpg')) return 'jpg';\n if (mimeType.includes('webp')) return 'webp';\n return 'png';\n}\n\nconst sourceItem = readConfigNode('Webhook Config') || readConfigNode('Manual Config') || {};\nconst parts = collectParts(upstream);\nconst imagePart = parts.find((part) => readInlineData(part));\nconst textPart = parts.find((part) => typeof part?.text === 'string' && part.text.trim());\n\nif (!imagePart) {\n const candidateCount = asArray(upstream?.candidates).length;\n const partKeys = parts.map((part) => Object.keys(asObject(part) || {}).join('|')).filter(Boolean);\n throw new Error(\n 'Tidak ada inline image dari Gemini response. candidates=' + candidateCount +\n '; parts=' + parts.length +\n '; partKeys=' + (partKeys.join(', ') || 'none') +\n '. Pastikan responseModalities berisi IMAGE dan model mendukung image output.'\n );\n}\n\nconst inline = readInlineData(imagePart);\nif (!inline?.imageBase64) {\n throw new Error('Inline image ditemukan, tetapi field data/base64 kosong.');\n}\n\nif (!isProbablyBase64(inline.imageBase64)) {\n throw new Error('Inline image data bukan base64 valid. Cek output Gemini/HTTP node.');\n}\n\nconst imageBytes = Buffer.from(inline.imageBase64, 'base64');\nif (!imageBytes.length) {\n throw new Error('Inline image base64 valid tetapi menghasilkan file kosong.');\n}\n\nconst mimeType = inline.mimeType;\nconst extension = extensionFromMime(mimeType);\nconst requestId = firstString(sourceItem.requestId, $execution.id, Date.now().toString());\n\nreturn [{\n json: {\n ok: true,\n model: 'gemini-3.1-flash-image-preview',\n mimeType,\n imageBase64: inline.imageBase64,\n imageSizeBytes: imageBytes.length,\n text: textPart?.text ?? '',\n source: sourceItem.source || 'manual',\n requestId,\n aspectRatio: sourceItem.aspectRatio || '1:1',\n userEmail: sourceItem.userEmail || null,\n },\n binary: {\n image: {\n data: inline.imageBase64,\n mimeType,\n fileName: 'gemini-3-1-output-' + requestId + '.' + extension,\n fileExtension: extension,\n fileSize: imageBytes.length,\n },\n },\n}];"
},
"id": "b7a545d7-1ae8-49af-a4f8-67bf068f0e08",
"name": "Convert Image to Binary",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
29888,
20304
]
},
{
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "source-porto-web",
"leftValue": "={{ $json.source }}",
"rightValue": "porto-web",
"operator": {
"type": "string",
"operation": "equals",
"name": "filter.operator.equals"
}
}
],
"combinator": "and"
},
"renameOutput": true,
"outputKey": "porto-web"
}
]
},
"options": {
"fallbackOutput": "extra",
"renameFallbackOutput": "manual"
}
},
"id": "8811a762-1864-4cb7-aeba-181387af6499",
"name": "Route by source",
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
30144,
20304
]
},
{
"parameters": {
"respondWith": "json",
"responseBody": "={{ { ok: true, source: $json.source, requestId: $json.requestId, model: $json.model, aspectRatio: $json.aspectRatio, mimeType: $json.mimeType, imageBase64: $json.imageBase64, imageSizeBytes: $json.imageSizeBytes, text: $json.text || '' } }}",
"options": {
"responseCode": 200
}
},
"id": "ce409c00-0980-4c50-bafd-65119501b3cc",
"name": "Respond to Webhook (PORTO)",
"type": "n8n-nodes-base.respondToWebhook",
"typeVersion": 1.1,
"position": [
30432,
20176
]
},
{
"parameters": {
"operation": "sendPhoto",
"chatId": "-1003986112540",
"binaryData": true,
"binaryPropertyName": "image",
"additionalFields": {
"caption": "={{ $json.text || 'Generated with Gemini 3.1 Flash Image Preview' }}"
}
},
"id": "91654968-dfe5-4f36-bdfb-dc233d37f5f0",
"name": "Send Image to Telegram",
"type": "n8n-nodes-base.telegram",
"typeVersion": 1.2,
"position": [
30432,
20416
],
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When clicking \u2018Execute workflow\u2019": {
"main": [
[
{
"node": "Manual Config",
"type": "main",
"index": 0
}
]
]
},
"Webhook (PORTO)": {
"main": [
[
{
"node": "Webhook Config",
"type": "main",
"index": 0
}
]
]
},
"Manual Config": {
"main": [
[
{
"node": "Download References",
"type": "main",
"index": 0
}
]
]
},
"Webhook Config": {
"main": [
[
{
"node": "Download References",
"type": "main",
"index": 0
}
]
]
},
"Download References": {
"main": [
[
{
"node": "Vertex Gemini 3.1 Image",
"type": "main",
"index": 0
}
]
]
},
"Vertex Gemini 3.1 Image": {
"main": [
[
{
"node": "Convert Image to Binary",
"type": "main",
"index": 0
}
]
]
},
"Convert Image to Binary": {
"main": [
[
{
"node": "Route by source",
"type": "main",
"index": 0
}
]
]
},
"Route by source": {
"main": [
[
{
"node": "Respond to Webhook (PORTO)",
"type": "main",
"index": 0
}
],
[
{
"node": "Send Image to Telegram",
"type": "main",
"index": 0
}
]
]
}
},
"active": true,
"settings": {
"executionOrder": "v1"
},
"versionId": "a70e7b37-37e8-4c67-baaa-8cfdcd53073f",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "I7lkeFnnbHg0nPGP",
"tags": []
}
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.
googleApihttpHeaderAuthtelegramApi
Pro
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About this workflow
GEMINI 3.1 GENERATE v2. Uses httpRequest, telegram. Event-driven trigger; 10 nodes.
Source: https://github.com/ID-Adi/PORTO/blob/cdf2a32e25bb55475a0d21c66d53e5a14723be20/n8n/Generate_Image_tools.json — original creator credit. Request a take-down →
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