🤖 汽车服务 AI 内容生成 🚘 自动化您的社交媒体📲！
高级
这是一个AI, Marketing领域的自动化工作流，包含 50 个节点。主要使用 Twitter, LinkedIn, SplitOut, Telegram, HttpRequest 等节点，结合人工智能技术实现智能自动化。 🤖 汽车服务 AI 内容生成 🚘 自动化您的社交媒体📲！
前置要求
- •Twitter API 凭证
- •LinkedIn API 凭证
- •Telegram Bot Token
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
- •Facebook Graph API 凭证
- •Google Sheets API 凭证
- •Anthropic API Key
- •Google Gemini API Key
使用的节点 (50)
Twitter
LinkedIn
SplitOut
Telegram
StickyNote
HttpRequest
ApiTemplateIo
ManualTrigger
Agent
ScheduleTrigger
OpenAi
FacebookGraphApi
GoogleSheetsTrigger
TavilyTool
LmChatOllama
LmChatOpenAi
LmChatXAiGrok
LmChatDeepSeek
LmChatAnthropic
LmChatOpenRouter
LmChatAzureOpenAi
LmChatGoogleGemini
LmChatMistralCloud
LmOpenHuggingFaceInference
工作流预览
可视化展示节点连接关系，支持缩放和平移
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
"id": "JdFtT41G2iqwGt1e",
"meta": {
"instanceId": "c778ccc6e6bdd79c80ccc835bc5d5a950bf07bb2941c80ee5afaeb18d9e2e8ef",
"templateCredsSetupCompleted": true
},
"name": "🤖 汽车服务 AI 内容生成 🚘 自动化您的社交媒体📲！",
"tags": [],
"nodes": [
{
"id": "e4a3ceac-acaa-434c-aefc-19e4fed34ea6",
"name": "便签",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-1340
],
"parameters": {
"color": 5,
"width": 5760,
"height": 2920,
"content": ""
},
"typeVersion": 1
},
{
"id": "d806bec6-ee52-4e7e-9b10-41b2dd16b1ba",
"name": "便签2",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-500
],
"parameters": {
"color": 5,
"width": 1260,
"height": 1260,
"content": "# [由 N8ner 用心制作 👈 点击！欢迎给我发消息！](https://community.n8n.io/u/n8ner/badges) "
},
"typeVersion": 1
},
{
"id": "6e8ee9ec-fe55-48d8-afab-b5d2a677cedb",
"name": "Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
4180,
-320
],
"webhookId": "f33ade31-7243-4d8f-a7e9-fc450ebf7eb5",
"parameters": {
"chatId": "7564233298",
"operation": "sendPhoto",
"binaryData": true,
"additionalFields": {
"caption": "={{ $('GENERATE TEXT').item.json.output }}"
},
"binaryPropertyName": "={{'data'}}"
},
"credentials": {
"telegramApi": {
"id": "5EqQR7c8hHg7JUam",
"name": "Telegram account"
}
},
"typeVersion": 1.2,
"alwaysOutputData": false
},
{
"id": "72b10789-5887-49b3-bbc3-06c220bc8150",
"name": "计划触发器",
"type": "n8n-nodes-base.scheduleTrigger",
"position": [
1800,
-220
],
"parameters": {
"rule": {
"interval": [
{
"triggerAtHour": 9
}
]
}
},
"typeVersion": 1.2
},
{
"id": "64bd78e2-2a1b-4ea8-bf92-e6c113acd229",
"name": "点击执行工作流时",
"type": "n8n-nodes-base.manualTrigger",
"position": [
1800,
60
],
"parameters": {},
"typeVersion": 1
},
{
"id": "cb7597f8-fdb9-48de-994a-da6b684421c7",
"name": "Google Sheets 触发器",
"type": "n8n-nodes-base.googleSheetsTrigger",
"position": [
1800,
380
],
"parameters": {
"event": "=rowAdded",
"options": {
"valueRender": "UNFORMATTED_VALUE",
"columnsToWatch": [
"Links for articles to refer"
],
"dataLocationOnSheet": {
"values": {
"range": "A2:A10",
"rangeDefinition": "specifyRangeA1"
}
}
},
"pollTimes": {
"item": [
{
"mode": "everyX",
"unit": "minutes",
"value": 1
}
]
},
"sheetName": {
"__rl": true,
"mode": "list",
"value": "gid=0",
"cachedResultUrl": "https://docs.google.com/spreadsheets/d/1Y26GgkSEimhjFhNyArFEvHTonv6JaqMWVU9jxnV-y-c/edit#gid=0",
"cachedResultName": "Sheet1"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "1Y26GgkSEimhjFhNyArFEvHTonv6JaqMWVU9jxnV-y-c"
}
},
"credentials": {
"googleSheetsTriggerOAuth2Api": {
"id": "SaouUrFEnn4hWJcQ",
"name": "Google Sheets Trigger account"
}
},
"notesInFlow": false,
"typeVersion": 1
},
{
"id": "157ac7c9-54df-4dc0-aa89-1b63b17f3148",
"name": "分离输出",
"type": "n8n-nodes-base.splitOut",
"position": [
3640,
-140
],
"parameters": {
"options": {},
"fieldToSplitOut": "choices[0].message.content"
},
"typeVersion": 1
},
{
"id": "bcd7bc00-fb79-4709-8a97-0a43bc274f4c",
"name": "便签3",
"type": "n8n-nodes-base.stickyNote",
"position": [
3960,
-520
],
"parameters": {
"color": 7,
"width": 520,
"height": 1300,
"content": "# 完成 - 上传至平台"
},
"typeVersion": 1
},
{
"id": "2f7884d1-7da0-492b-8503-9a4de0911773",
"name": "便签4",
"type": "n8n-nodes-base.stickyNote",
"position": [
4120,
420
],
"parameters": {
"color": 7,
"width": 210,
"height": 200,
"content": ""
},
"typeVersion": 1
},
{
"id": "f7181d0c-1bf4-4031-86dd-95761940de68",
"name": "便签9",
"type": "n8n-nodes-base.stickyNote",
"position": [
4120,
160
],
"parameters": {
"color": 7,
"width": 210,
"height": 200,
"content": ""
},
"typeVersion": 1
},
{
"id": "d1e3f2e4-8f4e-40aa-b512-b7e7d2667f1e",
"name": "便签5",
"type": "n8n-nodes-base.stickyNote",
"position": [
4120,
-100
],
"parameters": {
"color": 7,
"width": 210,
"height": 200,
"content": ""
},
"typeVersion": 1
},
{
"id": "64b6a403-4913-4d1b-8b61-581dec0223a7",
"name": "便签7",
"type": "n8n-nodes-base.stickyNote",
"position": [
4120,
-360
],
"parameters": {
"color": 7,
"width": 210,
"height": 200,
"content": ""
},
"typeVersion": 1
},
{
"id": "a48fa4e0-3781-426f-9f48-1fec77acba68",
"name": "便签8",
"type": "n8n-nodes-base.stickyNote",
"position": [
1600,
-500
],
"parameters": {
"color": 7,
"width": 500,
"height": 1260,
"content": "# 开始 - 选择触发器"
},
"typeVersion": 1
},
{
"id": "33dc129d-2784-4fb9-a027-589aa443d37b",
"name": "便签10",
"type": "n8n-nodes-base.stickyNote",
"position": [
1740,
320
],
"parameters": {
"color": 4,
"height": 220,
"content": ""
},
"typeVersion": 1
},
{
"id": "e1666561-2404-460e-b37e-0ebfd15b6261",
"name": "便利贴11",
"type": "n8n-nodes-base.stickyNote",
"position": [
1740,
20
],
"parameters": {
"color": 4,
"height": 220,
"content": ""
},
"typeVersion": 1
},
{
"id": "d34574fe-5791-4508-b847-e20eda64cd66",
"name": "便利贴12",
"type": "n8n-nodes-base.stickyNote",
"position": [
1740,
-280
],
"parameters": {
"color": 4,
"height": 220,
"content": ""
},
"typeVersion": 1
},
{
"id": "ac1bb708-89fb-496e-8291-e86d509ff2f8",
"name": "便签13",
"type": "n8n-nodes-base.stickyNote",
"position": [
2160,
-360
],
"parameters": {
"color": 7,
"width": 760,
"height": 460,
"content": "### 为您编辑提示词和系统消息，自定义 LLM 和搜索链接，添加您自己的提示词数据库 "
},
"typeVersion": 1
},
{
"id": "1c2803d0-8ea1-48c1-b3df-6e9a5156be07",
"name": "便签14",
"type": "n8n-nodes-base.stickyNote",
"position": [
2520,
300
],
"parameters": {
"color": 7,
"width": 760,
"height": 420,
"content": "### 为您编辑提示词和系统消息，自定义 LLM 并添加自己的提示词数据库 "
},
"typeVersion": 1
},
{
"id": "b40ab1d2-e7d4-4dce-8200-41ecb761eb9b",
"name": "便签15",
"type": "n8n-nodes-base.stickyNote",
"position": [
3120,
-300
],
"parameters": {
"color": 7,
"width": 760,
"height": 380,
"content": "### 设置用于生成图像的 AI 模型，根据您的需求自定义提示词 "
},
"typeVersion": 1
},
{
"id": "4aeadd2d-a393-414d-a584-344934f89586",
"name": "便签1",
"type": "n8n-nodes-base.stickyNote",
"position": [
4480,
-520
],
"parameters": {
"color": 5,
"width": 1620,
"height": 1300,
"content": "# 此模板专为汽车服务每日内容上传设置，但底层逻辑具有通用性。您可以通过编辑提示词、添加节点以及创建或上传各种内容到任何平台，轻松适应任何细分领域。您可以使用任何您选择的 LLM 和生成式 AI。个人而言，我更喜欢 ChatGPT 4.1 结合 GPT Image 1 带来的流畅有效结果。享受并使用吧，欢迎[给我发消息](https://community.n8n.io/u/n8ner/badges)提供您的评价以供未来改进！ "
},
"typeVersion": 1
},
{
"id": "07a0cb9c-fdd6-4120-b9cc-f92d636eed27",
"name": "Mistral Cloud 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatMistralCloud",
"position": [
4620,
-220
],
"parameters": {
"model": "pixtral-large-latest",
"options": {}
},
"credentials": {
"mistralCloudApi": {
"id": "FnOd31BOjfSRcl8F",
"name": "Mistral Cloud account 2"
}
},
"typeVersion": 1
},
{
"id": "765cbb25-897b-408d-ac1d-613c07629a78",
"name": "OpenRouter 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter",
"position": [
4880,
-80
],
"parameters": {
"options": {}
},
"credentials": {
"openRouterApi": {
"id": "JH3j9elCwOwmv4CQ",
"name": "OpenRouter account"
}
},
"typeVersion": 1
},
{
"id": "486efc72-84ea-4f1e-bc8d-f3e53f250ddd",
"name": "Anthropic 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
"position": [
4620,
40
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "claude-3-7-sonnet-20250219",
"cachedResultName": "Claude 3.7 Sonnet"
},
"options": {}
},
"typeVersion": 1.3
},
{
"id": "21d18ef8-7520-476b-a471-5e3a64902a65",
"name": "Google Gemini聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
4980,
-220
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "c14142c6-7294-47a9-805a-038bbe367097",
"name": "xAI Grok 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatXAiGrok",
"position": [
4780,
40
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "9460fa92-6e31-448f-b87b-7a440a791426",
"name": "DeepSeek 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatDeepSeek",
"position": [
4980,
40
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "5db59ffd-c09a-4146-b140-47e8399d6c41",
"name": "Hugging Face 推理模型",
"type": "@n8n/n8n-nodes-langchain.lmOpenHuggingFaceInference",
"position": [
5160,
-220
],
"parameters": {
"model": "https://huggingface.co/black-forest-labs/FLUX.1-dev",
"options": {}
},
"credentials": {
"huggingFaceApi": {
"id": "pTOJMnoQUX7aj7qX",
"name": "HuggingFaceApi account"
}
},
"typeVersion": 1
},
{
"id": "8eea8670-a4a2-4e58-ae04-3a1e7f8cf1de",
"name": "Freepik API",
"type": "n8n-nodes-base.httpRequest",
"position": [
4540,
400
],
"parameters": {
"url": "https://api.freepik.com/v1/ai/text-to-image/imagen3",
"method": "POST",
"options": {},
"jsonBody": "{\n \"prompt\": \"Crazy dog in the space\",\n \"num_images\": 1,\n \"aspect_ratio\": \"square_1_1\",\n \"styling\": {\n \"style\": \"anime\",\n \"effects\": {\n \"color\": \"pastel\",\n \"lightning\": \"warm\",\n \"framing\": \"portrait\"\n }\n },\n \"person_generation\": \"allow_all\",\n \"safety_settings\": \"block_none\"\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "x-freepik-api-key",
"value": "FPSX38a53a81a693e71a0e9437a657de6342"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "dc0fb490-d710-4a3d-9c49-2ba3652b2770",
"name": "Runware API",
"type": "n8n-nodes-base.httpRequest",
"position": [
4540,
580
],
"parameters": {
"url": "https://api.runware.ai/v1",
"method": "POST",
"options": {
"redirect": {
"redirect": {}
}
},
"jsonBody": "[\n {\n \"taskType\": \"authentication\",\n \"apiKey\": \"<API_KEY>\"\n },\n {\n \"taskType\": \"imageInference\",\n \"taskUUID\": \"39d7207a-87ef-4c93-8082-1431f9c1dc97\",\n \"positivePrompt\": \"a cat\",\n \"width\": 512,\n \"height\": 512,\n \"model\": \"civitai:102438@133677\",\n \"numberResults\": 1\n }\n]",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "b2ea776e-4b6f-4f1a-9c3a-1719719209ec",
"name": "Clipdrop API",
"type": "n8n-nodes-base.httpRequest",
"position": [
4760,
580
],
"parameters": {
"url": "https://clipdrop-api.co/text-to-image/v1",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "multipart-form-data",
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "prompt"
}
]
},
"genericAuthType": "httpBearerAuth"
},
"credentials": {
"httpBearerAuth": {
"id": "EIcFRRZtIyuSbthu",
"name": "Bearer Auth account"
}
},
"typeVersion": 4.2
},
{
"id": "4133831e-0c79-44ae-ba7a-0bf8bead48fd",
"name": "Ollama聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"position": [
4780,
-220
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "c045b699-12cf-48a2-94ce-bcec997434de",
"name": "Azure OpenAI 聊天模型",
"type": "@n8n/n8n-nodes-langchain.lmChatAzureOpenAi",
"position": [
5160,
40
],
"parameters": {
"options": {}
},
"typeVersion": 1
},
{
"id": "d6134f16-65c1-49ee-823a-2b10954707a2",
"name": "APITemplate.io",
"type": "n8n-nodes-base.apiTemplateIo",
"position": [
5200,
580
],
"parameters": {},
"credentials": {
"apiTemplateIoApi": {
"id": "8BoC4xP9YSekp9OA",
"name": "APITemplate.io account"
}
},
"typeVersion": 1
},
{
"id": "2f627d07-42e6-4334-8255-24aa86ba7146",
"name": "Ideogram API",
"type": "n8n-nodes-base.httpRequest",
"position": [
4980,
580
],
"parameters": {
"url": "https://api.ideogram.ai/v1/ideogram-v3/generate",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "multipart-form-data",
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "prompt",
"value": "A photo of a cat sleeping on a couch."
},
{
"name": "rendering_speed",
"value": "TURBO"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Api-Key",
"value": "<apiKey>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "72377c43-3e1e-4c52-84de-aa8ef825f150",
"name": "Replicate API",
"type": "n8n-nodes-base.httpRequest",
"position": [
4760,
400
],
"parameters": {
"url": "https://api.replicate.com/v1/models/ideogram-ai/ideogram-v2/predictions",
"method": "POST",
"options": {},
"jsonBody": "{\n \"input\": {\n \"prompt\": \"An illustration of a black running shoe with the text \\\"Run AI with an API\\\" written on the shoe. The shoe is placed on a blue background. The text is white and bold. The overall image has a modern and techy vibe.\",\n \"aspect_ratio\": \"16:9\"\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer $REPLICATE_API_TOKEN"
},
{
"name": "Prefer",
"value": "wait"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "ae03e3a1-ff22-46ce-b31b-e355611252c0",
"name": "Imagen Google API",
"type": "n8n-nodes-base.httpRequest",
"position": [
4980,
400
],
"parameters": {
"url": "https://LOCATION-aiplatform.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/publishers/google/models/imagegeneration@002:predict",
"body": "0",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "raw",
"sendHeaders": true,
"rawContentType": "application/json; charset=utf-8",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer $(gcloud auth print-access-token)"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "16eeca87-25b3-42c9-a2d1-7dde51e08db4",
"name": "HuggingFace API",
"type": "n8n-nodes-base.httpRequest",
"position": [
5200,
400
],
"parameters": {
"url": "https://uu149rez6gw9ehej.eu-west-1.aws.endpoints.huggingface.cloud/distilbert-sentiment",
"method": "POST",
"options": {},
"sendBody": true,
"contentType": "form-urlencoded",
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "{\"inputs\": \"Deploying my first endpoint was an amazing experience.\"}"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer <Token>"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "ed97601a-7ced-478a-ace3-63ab79f951e8",
"name": "Runway Images",
"type": "n8n-nodes-base.httpRequest",
"position": [
4980,
220
],
"parameters": {
"url": "https://api.dev.runwayml.com/v1/text_to_image",
"method": "POST",
"options": {},
"jsonBody": "{\n \"promptText\": \"string\",\n \"ratio\": \"1920:1080\",\n \"seed\": 4294967295,\n \"model\": \"gen4_image\",\n \"referenceImages\": [\n {\n \"uri\": \"http://example.com\",\n \"tag\": \"string\"\n }\n ],\n \"contentModeration\": {\n \"publicFigureThreshold\": \"auto\"\n }\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer {{ YOUR API KEY }}"
},
{
"name": "X-Runway-Version",
"value": "2024-11-06"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "7db2a283-7061-4440-8def-534e96ff7dfe",
"name": "生成文本",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2340,
-180
],
"parameters": {
"text": "=Use link as a main reference article source {{ $json.name }}! IMPORTANT! Actualize up to date information and facts check up, use Internet research with Tavily tool!",
"options": {
"systemMessage": "(!IMPORTANT!) Write short engaging posts under 1024 characters for Telegram. \n\nOverview\nYou are a brand agent for Autoservis, specializing in creating professional and educational posts about car repair. You write random and interesting daily tips, lifehacks, notes, actual news for 2025 year.\n\nGoals:\nAlways start by conducting real-time research using the Tavily tool to gather the most accurate and up-to-date information on the topic. The post should be written to engage the specified target audience.\n\nBased on your research, create a well-structured Telegram post that:\n\nBegins with a captivating hook\n\nMaintains a professional tone\n\nIs clear and easy to read\n\nIs educational and informative\n\nUses minimal emojis (only when very relevant)\n\nIncludes proper source attribution (e.g., \"according to [Source]\")\n\nContains relevant hashtags to improve visibility\n\nEnds with a clear call to action (e.g., ask for thoughts, feedback, or shares)\n\nOutput instructions:\nYour ONLY output should be the final Telegram post text.\n\nDo not include explanations, notes, or anything outside the post itself.\n\nExample workflow:\nReceive the topic (e.g., “Return on investment in warehouse automation”)\n\nUse Tavily to research and gather the latest information or case studies\n\nDraft the post using this research\n\nFormat it with references, clear structure, relevant hashtags, and a call to action\n\nAt the end of the post write\nService center address: 123 Main St, New York, NY, for appointments call (212) 555-1234"
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "946716eb-39a5-42f6-88a2-bc89b3351c91",
"name": "生成提示词",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2680,
460
],
"parameters": {
"text": "Make it perfect.\nPhoto-realistic to Hyper-realistic style.\nWidescreen aspect ratio with the highest pixel resolution. Generate an extremely detailed and realistic image based on the provided reference description {{ $json.output }}. Include comprehensive visual details covering:\n\n- Subject’s appearance: facial features, expressions, skin tone, hair style and texture, clothing fabric, color, and fit, posture, accessories.\n- Environment: specific real-world setting and background elements, natural lighting (direction, intensity, color temperature), and ambient mood.\n- Colors and textures: precise color palettes, authentic fabric and skin textures, natural reflections, and subtle visual cues enhancing lifelike clarity.\n\nExclude any abstract art styles, text, numbers, letters, logos, or non-photographic elements to ensure natural realism.\n\nThe prompt should specify image rendering in 16K photographic resolution with maximum clarity and realism.\n\nAdditionally, provide explicit, practical instructions on enhancing an existing photo to 16K resolution using advanced AI super-resolution upscaling techniques that:\n\n- Preserve fine details without blurriness or unnatural sharpening.\n- Maintain natural textures and lighting.\n- Minimize artifacts like noise, halos, or abnormal edges.\n- Deliver photo-realistic output with enhanced clarity.\n\nEnsure the background is clear, finely detailed, and naturally integrated with the subject to reinforce photographic accuracy.\n\nFocus solely on producing a precise, clear prompt and enhancement guidance centered on natural realism and photographic fidelity for ultra-high resolution images.\n\n",
"options": {
"systemMessage": "=Overview\nYou are an AI agent that converts Telegram posts into visual prompt descriptions for generating graphic marketing materials. These visuals are meant to accompany the Telegram post, effectively conveying the message in a visually appealing, brand-consistent style.\n\nObjective:\nAnalyze the provided Telegram post.\n\nExtract the core message, insight, or key takeaway.\n\nCraft a clear, compelling graphic prompt suitable for a text-to-image generator.\n\nThe final graphic should:\n\nVisually represent or enhance the main idea of the post\n\nBe appropriate for a professional Telegram feed\n\nAppear polished, modern, and engaging\n\nOutput Instructions:\nProvide only the final image prompt without quotation marks.\n\nDo not repeat or paraphrase the Telegram post.\n\nAvoid adding explanations or any additional text—output only the image prompt.\n\nDo not leave placeholders like “Header area reserved for customizable callout text.”\n\nInclude numeric data from the original post when relevant.\n\nStyle Guidelines:\nApproach this like a brand designer or marketing creative.\n\nVisual elements may include text, charts, icons, abstract shapes, overlays, modern illustrations, motion-inspired effects, bold typographic elements (described but not rendered), or metaphorical concepts.\n\nYou may suggest layout styles (e.g., “split screen layout,” “header with bold title and subtle background illustration”).\n\nKeep in mind the prompt will be used by AI image generation tools—make it clear and effective.\n\nExample Prompt Format:\nA sleek flat-design graphic featuring a human brain intertwined with mechanical gears, symbolizing the integration of AI and automation.\nMinimalist background with soft gradients, clean sans-serif text areas.\n- - - Important! dont put text on image! - - -"
},
"promptType": "define"
},
"typeVersion": 1.8
},
{
"id": "bd34e79d-6f3e-4b75-b6cc-ac5e3062ad3e",
"name": "LinkedIn",
"type": "n8n-nodes-base.linkedIn",
"position": [
4180,
200
],
"parameters": {
"text": "={{ $json['choices[0].message.content'] }}",
"person": "[CONFIGURE_YOUR_LINKEDIN_PERSON_ID]",
"authentication": "communityManagement",
"additionalFields": {}
},
"typeVersion": 1
},
{
"id": "b49aaca1-f326-4fc2-8cc6-265891905f52",
"name": "外部工具",
"type": "n8n-nodes-base.twitter",
"position": [
4180,
460
],
"parameters": {
"additionalFields": {}
},
"typeVersion": 2
},
{
"id": "d5cc6185-5c6d-4ed4-8b93-c546fe57b804",
"name": "Facebook",
"type": "n8n-nodes-base.facebookGraphApi",
"position": [
4180,
-60
],
"parameters": {
"options": {},
"httpRequestMethod": "POST"
},
"typeVersion": 1
},
{
"id": "7525e88c-eacd-4bb5-8f08-b85dd6aa8777",
"name": "Minimax Images",
"type": "n8n-nodes-base.httpRequest",
"position": [
4540,
220
],
"parameters": {
"url": "https://api.minimaxi.chat/v1/image_generation",
"method": "POST",
"options": {
"redirect": {
"redirect": {}
}
},
"sendBody": true,
"sendHeaders": true,
"bodyParameters": {
"parameters": [
{
"name": "model",
"value": "image-01"
},
{
"name": "prompt",
"value": "men Dressing in white t shirt, full-body stand front view image :25, outdoor, Venice beach sign, full-body image, Los Angeles, Fashion photography of 90s, documentary, Film grain, photorealistic"
},
{
"name": "aspect_ratio",
"value": "16:9"
},
{
"name": "response_format",
"value": "url"
},
{
"name": "n",
"value": "3"
},
{
"name": "prompt_optimizer",
"value": "true"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer {api_key}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "02acacfc-fa40-440d-a35c-f615c3369c82",
"name": "Kling Images",
"type": "n8n-nodes-base.httpRequest",
"position": [
4760,
220
],
"parameters": {
"url": "https://api-singapore.klingai.com/v1/images/text2image",
"method": "POST",
"options": {
"redirect": {
"redirect": {}
}
},
"jsonBody": "{\n\t\"code\": 0, //Error codesпј›Specific definitions can be found in Error codes\n \"message\": \"string\", //Error information\n \"request_id\": \"string\", //Request ID, generated by the system, is used to track requests and troubleshoot problems\n \"data\":[\n {\n \"task_id\": \"string\", //Task ID, generated by the system\n \"task_status\": \"string\", //Task status, Enum valuesпјљsubmittedгЂЃprocessingгЂЃsucceedгЂЃfailed\n \"task_status_msg\": \"string\", //Task status information, displaying the failure reason when the task fails (such as triggering the content risk control of the platform, etc.)\n \"created_at\": 1722769557708, //Task creation time, Unix timestamp, unit ms\n \"updated_at\": 1722769557708, //Task update time, Unix timestamp, unit ms\n \"task_result\":{\n \"images\":[\n {\n \"index\": int, //Image NumberпјЊ0-9\n \"url\": \"string\" //URL for generating imagesпјЊsuch asпјљhttps://h1.inkwai.com/bs2/upload-ylab-stunt/1fa0ac67d8ce6cd55b50d68b967b3a59.png(To ensure information security, generated images/videos will be cleared after 30 days. Please make sure to save them promptly.)\n }\n \t]\n }\n }\n ]\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer xxx"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "0a394dbb-ae24-456c-b13f-f568edd40b44",
"name": "Leonardo Images",
"type": "n8n-nodes-base.httpRequest",
"position": [
5200,
220
],
"parameters": {
"url": "https://cloud.leonardo.ai/api/rest/v1/generations/id",
"options": {
"redirect": {
"redirect": {}
}
},
"sendHeaders": true,
"headerParameters": {
"parameters": [
{
"name": "accept",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "692e118f-9272-45f9-80c4-6463add4977c",
"name": "Tavily 互联网搜索",
"type": "@tavily/n8n-nodes-tavily.tavilyTool",
"position": [
2260,
-280
],
"parameters": {
"query": "={\n \"query\": \"{searchTerm}\",\n \"topic\": \"general\",\n \"search_depth\": \"advanced\",\n \"chunks_per_source\": 3,\n \"max_results\": 1,\n \"time_range\": null,\n \"days\": 7,\n \"include_answer\": true,\n \"include_raw_content\": false,\n \"include_images\": false,\n \"include_image_descriptions\": false,\n \"include_domains\": [],\n \"exclude_domains\": []\n}",
"options": {},
"descriptionType": "manual",
"toolDescription": "Search in Tavily"
},
"credentials": {
"tavilyApi": {
"id": "v2o6xkt7VGeBiPOs",
"name": "Tavily account"
}
},
"typeVersion": 1
},
{
"id": "de72e33d-5f58-4fbd-80cf-0eb9f4344175",
"name": "OPENAI 生成图像",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
3280,
-140
],
"parameters": {
"model": "gpt-image-1",
"prompt": "= IMPORTANT! DONT WRITE TEXT ON A PICTURE! Create perfect visual for\n{{ $json.output }}",
"options": {},
"resource": "image"
},
"credentials": {
"openAiApi": {
"id": "6oMHBtrEsufBjv61",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.8
},
{
"id": "0dbe4250-2cd8-4295-bd4b-42ec26ab6cb6",
"name": "OPENAI 编写提示词",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2620,
600
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "6oMHBtrEsufBjv61",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.2
},
{
"id": "07dc3e20-3d51-4bb7-a327-5d961afb2b96",
"name": "OPENAI 编写帖子",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
2260,
-40
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1",
"cachedResultName": "gpt-4.1"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "6oMHBtrEsufBjv61",
"name": "n8n free OpenAI API credits"
}
},
"typeVersion": 1.2
}
],
"active": false,
"pinData": {
"X": [
{
"json": {
"code": 1,
"name": "First item"
}
},
{
"json": {
"code": 2,
"name": "Second item"
}
}
],
"Facebook": [
{
"json": {
"code": 1,
"name": "First item"
}
},
{
"json": {
"code": 2,
"name": "Second item"
}
}
],
"LinkedIn": [
{
"json": {
"code": 1,
"name": "First item"
}
},
{
"json": {
"code": 2,
"name": "Second item"
}
}
],
"APITemplate.io": [
{
"json": {
"code": 1,
"name": "First item"
}
},
{
"json": {
"code": 2,
"name": "Second item"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "37a7baec-9442-450f-9373-fad685598558",
"connections": {
"LinkedIn": {
"main": [
[]
]
},
"Split Out": {
"main": [
[
{
"node": "X",
"type": "main",
"index": 0
},
{
"node": "Facebook",
"type": "main",
"index": 0
},
{
"node": "LinkedIn",
"type": "main",
"index": 0
},
{
"node": "Telegram",
"type": "main",
"index": 0
}
]
]
},
"GENERATE TEXT": {
"main": [
[
{
"node": "GENERATE PROMPT",
"type": "main",
"index": 0
}
]
]
},
"APITemplate.io": {
"main": [
[]
]
},
"Minimax Images": {
"main": [
[]
]
},
"GENERATE PROMPT": {
"main": [
[
{
"node": "OPENAI GENERATES IMAGE",
"type": "main",
"index": 0
}
]
]
},
"Schedule Trigger": {
"main": [
[
{
"node": "GENERATE TEXT",
"type": "main",
"index": 0
}
]
]
},
"OPENAI WRITES POSTS": {
"ai_languageModel": [
[
{
"node": "GENERATE TEXT",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Google Sheets Trigger": {
"main": [
[
{
"node": "GENERATE TEXT",
"type": "main",
"index": 0
}
]
]
},
"OPENAI WRITES PROMPTS": {
"ai_languageModel": [
[
{
"node": "GENERATE PROMPT",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OPENAI GENERATES IMAGE": {
"main": [
[
{
"node": "Split Out",
"type": "main",
"index": 0
}
]
]
},
"Tavily Internet Search": {
"ai_tool": [
[
{
"node": "GENERATE TEXT",
"type": "ai_tool",
"index": 0
}
]
]
},
"When clicking вЂExecute workflow’": {
"main": [
[
{
"node": "GENERATE TEXT",
"type": "main",
"index": 0
}
]
]
}
}
}常见问题
如何使用这个工作流？
复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。
这个工作流适合什么场景？
高级 - 人工智能, 营销
需要付费吗？
本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。
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工作流信息
难度等级
高级
节点数量50
分类2
节点类型24
作者
N8ner
@n8nerI enjoy Ai tools an automation, specialize in building intelligent automation workflows that help businesses streamline operations, save time, and increase productivity. My superpower is making complex processes simple and efficient.
外部链接
在 n8n.io 查看 →
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