Nano图像生成 + 社交媒体发布
中级
这是一个Content Creation, Multimodal AI领域的自动化工作流，包含 12 个节点。主要使用 Webhook, Airtable, HttpRequest, OpenAi, ChainLlm 等节点。 使用GPT-4 Vision和Gemini从Airtable自动编辑Instagram帖子图片
前置要求
- •HTTP Webhook 端点（n8n 会自动生成）
- •Airtable API Key
- •可能需要目标 API 的认证凭证
- •OpenAI API Key
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": "p7rsqsusuSDyHGHA",
"meta": {
"instanceId": "35362f442a6baf3f208bf236f90e62662493df991c6bc7fe4e2edd74be671573",
"templateCredsSetupCompleted": true
},
"name": "Nano 图像生成 + 社交媒体发布",
"tags": [
{
"id": "e8dSqjTcAMvetylS",
"name": "marketing",
"createdAt": "2025-07-31T16:32:13.768Z",
"updatedAt": "2025-07-31T16:32:13.768Z"
}
],
"nodes": [
{
"id": "f29d992d-3607-4270-8853-e15941e28b25",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
32,
64
],
"webhookId": "12bb14d8-f9dc-4671-b5ed-10a44238f4aa",
"parameters": {
"path": "12bb14d8-f9dc-4671-b5ed-10a44238f4aa",
"options": {}
},
"typeVersion": 2.1
},
{
"id": "afba7da5-7706-427e-8854-bfe14acbad6f",
"name": "Airtable 上传",
"type": "n8n-nodes-base.httpRequest",
"position": [
1568,
-128
],
"parameters": {
"url": "=https://content.airtable.com/v0/appFSBG2xgidVIKR1/{{ $('Get Rows').item.json.id }}/Nano%20Image/uploadAttachment",
"method": "POST",
"options": {},
"jsonBody": "={\n \"contentType\": \"image/png\",\n \"file\": \"{{ $('Nano Bannana Image Generation').item.json.choices[0].message.images[0].image_url.url }}\",\n \"filename\": \"generated_image.png\"\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "predefinedCredentialType",
"nodeCredentialType": "airtableTokenApi"
},
"credentials": {
"airtableTokenApi": {
"id": "hDDOoYPAs3etWdu2",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 4.2
},
{
"id": "42bca267-93ae-4fe7-bf6c-e9c21dc96b24",
"name": "状态完成",
"type": "n8n-nodes-base.airtable",
"position": [
2160,
48
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appFSBG2xgidVIKR1",
"cachedResultUrl": "https://airtable.com/appFSBG2xgidVIKR1",
"cachedResultName": "Nano Banana Ad Machine"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblCzppnhEo5uVeTq",
"cachedResultUrl": "https://airtable.com/appFSBG2xgidVIKR1/tblCzppnhEo5uVeTq",
"cachedResultName": "NannoB"
},
"columns": {
"value": {
"ID": "={{ $('Get Rows').item.json.ID }}",
"Status": "Completed"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "ID",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Picture",
"type": "array",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Picture",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "options",
"display": true,
"options": [
{
"name": "Create",
"value": "Create"
},
{
"name": "Completed",
"value": "Completed"
},
{
"name": "Error",
"value": "Error"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Core Subject",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Core Subject",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Setting",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Setting",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Composition",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Composition",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Lighting",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Lighting",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Style",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Style",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Atmosphere",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Atmosphere",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Color Palette",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Color Palette",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Text Overlay",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Text Overlay",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Nano Image",
"type": "array",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Nano Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Trigger n8n Workflow",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Trigger n8n Workflow",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"ID"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update"
},
"credentials": {
"airtableTokenApi": {
"id": "hDDOoYPAs3etWdu2",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "f729f6b2-29df-46f4-a785-1e40dbd7ba91",
"name": "状态错误",
"type": "n8n-nodes-base.airtable",
"position": [
1536,
288
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appFSBG2xgidVIKR1",
"cachedResultUrl": "https://airtable.com/appFSBG2xgidVIKR1",
"cachedResultName": "Nano Banana Ad Machine"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblCzppnhEo5uVeTq",
"cachedResultUrl": "https://airtable.com/appFSBG2xgidVIKR1/tblCzppnhEo5uVeTq",
"cachedResultName": "NannoB"
},
"columns": {
"value": {
"Status": "Error",
"Nano Image": "={{ $json.error.code }} {{ $json.error.status }}"
},
"schema": [
{
"id": "id",
"type": "string",
"display": true,
"removed": false,
"readOnly": true,
"required": false,
"displayName": "id",
"defaultMatch": true
},
{
"id": "ID",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "ID",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Picture",
"type": "array",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Picture",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Status",
"type": "options",
"display": true,
"options": [
{
"name": "Create",
"value": "Create"
},
{
"name": "Completed",
"value": "Completed"
},
{
"name": "Error",
"value": "Error"
}
],
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Status",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Core Subject",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Core Subject",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Setting",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Setting",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Composition",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Composition",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Lighting",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Lighting",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Style",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Style",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Atmosphere",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Atmosphere",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Color Palette",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Color Palette",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Text Overlay",
"type": "string",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Text Overlay",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Nano Image",
"type": "array",
"display": true,
"removed": false,
"readOnly": false,
"required": false,
"displayName": "Nano Image",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "Trigger Workflow",
"type": "string",
"display": true,
"removed": true,
"readOnly": true,
"required": false,
"displayName": "Trigger Workflow",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [
"id"
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {},
"operation": "update"
},
"credentials": {
"airtableTokenApi": {
"id": "hDDOoYPAs3etWdu2",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "b94d41cb-9cc6-4fb0-8dd8-0c97f6032198",
"name": "分析图片",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
416,
64
],
"parameters": {
"text": "You are an expert AI creative analyst. Your purpose is to analyze an input image and deconstruct its visual and thematic elements into a clear, structured report. Your output must be only the plain text report as described below. Do not include any conversational filler or explanatory text.\n\nBased on the user's provided image, generate a report with the following structure and headings:\n\nDescription\nWrite a comprehensive, single-paragraph description of the entire image. Capture the subject, setting, style, and overall feeling of the scene.\n\nStyle Analysis\n\nCore Subject: Identify the main person, object, or focus of the image.\n\nSetting: Describe the background and environment of the subject.\n\nMedium: Specify the artistic medium (e.g., Commercial product photography, 3D render, oil painting, analog film photo).\n\nLighting: Describe the quality and source of the light (e.g., golden hour, studio lighting, neon glow).\n\nMood: Describe the overall feeling or atmosphere (e.g., serene, energetic, futuristic, nostalgic).\n\nComposition: Describe the framing and camera angle (e.g., centered, eye-level, low-angle, top-down).\n\nColor Palette: List the dominant colors and overall color scheme.\n\nText Overlay\nList and describe each distinct piece of text found in the image. If there is no text, simply write \"None.\"\n\nText 1\n\nText: Identify the exact text.\n\nFont: Describe the font style.\n\nEffect: Describe any visual effects on the font. If none, write \"None.\"\n\nColor: Identify the color of the text.\n\nPlacement: Describe where the text is located (e.g., center, bottom-left).\n\n(Repeat the \"Text #\" section for every additional piece of text in the image.)",
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "GPT-4O-MINI"
},
"options": {},
"resource": "image",
"imageUrls": "={{ $json.Picture[0].url }}",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "IMckVaynM4hBUya4",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "ece7ceee-ef5a-403b-a0bd-e5ab77be62cf",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
800,
240
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "IMckVaynM4hBUya4",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "44a27005-e034-4fa0-a071-09b1f8915bab",
"name": "创建媒体容器",
"type": "n8n-nodes-base.httpRequest",
"position": [
1552,
48
],
"parameters": {
"url": "https://graph.facebook.com/v18.0/{instagram-business-account-id}/media",
"method": "POST",
"options": {},
"jsonBody": "={\n \"image_url\": \"\",\n \"caption\": \"Your caption text here #hashtag\",\n \"access_token\": \"META_ACCESS_TOKEN\"\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "0a495e3b-649f-44ae-b10c-874d605db264",
"name": "发布媒体",
"type": "n8n-nodes-base.httpRequest",
"position": [
1904,
48
],
"parameters": {
"url": "https://graph.facebook.com/v18.0/{instagram-business-account-id}/media_publish",
"method": "POST",
"options": {},
"jsonBody": "={\n \"creation_id\": \"{{ $('Create Media').item.json.id }}\",\n \"access_token\": \"YOUR_ACCESS_TOKEN\"\n}",
"sendBody": true,
"specifyBody": "json"
},
"typeVersion": 4.2
},
{
"id": "de7de152-7cc6-4c7d-ab62-0a0b9dc7fde4",
"name": "获取图像",
"type": "n8n-nodes-base.airtable",
"position": [
208,
64
],
"parameters": {
"id": "={{ $json.query.recordId }}",
"base": {
"__rl": true,
"mode": "list",
"value": "appwDeP1gnsXXthZ6",
"cachedResultUrl": "https://airtable.com/appwDeP1gnsXXthZ6",
"cachedResultName": "Nano Image Gen IG posting"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblCzppnhEo5uVeTq",
"cachedResultUrl": "https://airtable.com/appwDeP1gnsXXthZ6/tblCzppnhEo5uVeTq",
"cachedResultName": "NannoB"
},
"options": {}
},
"credentials": {
"airtableTokenApi": {
"id": "hDDOoYPAs3etWdu2",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "a921857e-6b50-4ae9-a4a7-3eb41bd10e59",
"name": "获取行",
"type": "n8n-nodes-base.airtable",
"position": [
624,
64
],
"parameters": {
"base": {
"__rl": true,
"mode": "list",
"value": "appwDeP1gnsXXthZ6",
"cachedResultUrl": "https://airtable.com/appwDeP1gnsXXthZ6",
"cachedResultName": "Nano Image Gen IG posting"
},
"table": {
"__rl": true,
"mode": "list",
"value": "tblCzppnhEo5uVeTq",
"cachedResultUrl": "https://airtable.com/appwDeP1gnsXXthZ6/tblCzppnhEo5uVeTq",
"cachedResultName": "NannoB"
},
"options": {
"fields": [
"ID",
"Status",
"Setting",
"Composition",
"Lighting",
"Style",
"Atmosphere",
"Color Palette",
"Text Overlay",
"Post Description"
]
},
"operation": "search",
"filterByFormula": "{Status} = \"Create\""
},
"credentials": {
"airtableTokenApi": {
"id": "hDDOoYPAs3etWdu2",
"name": "Airtable Personal Access Token account"
}
},
"typeVersion": 2.1
},
{
"id": "9f2ca879-097e-4a8d-8eaa-d07deec0e00a",
"name": "提示优化",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
800,
64
],
"parameters": {
"text": "=Prompt guidelines for the edited image:\n\nPost Description: {{ $json['Post Description'] }}\nComposition: {{ $json.Composition }}\nLighting: {{ $json.Lighting }}\nStyle: {{ $json.Style }}\nAtmosphere: {{ $json.Atmosphere }}\nColor Palette: {{ $json['Color Palette'] }}\nText Overlay: {{ $json['Text Overlay'] }}",
"batching": {},
"messages": {
"messageValues": [
{
"message": "=Your task is to generate an image editing prompt for AI-powered image modification. You will receive the Base Image description from your system configuration. The user will then supply editing specifications that detail their desired changes across these elements: Post Description, Composition, Lighting, Style, Atmosphere, Color Palette, and Text Overlay. Some aspects may remain unchanged from the base image while others will be modified.\nUsing these editing specifications, construct an image modification prompt that maintains consistency with the original image description's formatting and structure, while incorporating the requested changes for Instagram-optimized content.\nYour response must contain exclusively the revised image editing prompt. Include no explanatory text, introductions, or concluding statements.\nBase Image description: {{ $('Analyze image').item.json.content }}"
}
]
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "8c99af55-d9f1-4e88-9d15-bc57f48eb40c",
"name": "Nano Banana 图像生成",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueErrorOutput",
"position": [
1200,
64
],
"parameters": {
"url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
"method": "POST",
"options": {
"batching": {
"batch": {
"batchSize": 1,
"batchInterval": 5000
}
}
},
"jsonBody": "={\n \"contents\": [\n {\n \"parts\": [\n {\n \"text\": {{ JSON.stringify(\n 'Original Image Prompt: ' +\n $('Analyze image').item.json.content+\n ' Requested Edit Prompt: ' +\n $json.text\n ) }}\n },\n {\n \"inline_data\": {\n \"mime_type\": \"image/jpeg\",\n \"data\": \"{{ $('Get Image').item.json['Nano Image'][0].url }}\"\n }\n }\n ]\n }\n ],\n \"generationConfig\": {\n \"temperature\": 0.7,\n \"maxOutputTokens\": 1000\n }\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "GEpBiLh6TYL7Z1E9",
"name": "Gemini nano API"
}
},
"typeVersion": 4.2,
"alwaysOutputData": false
}
],
"active": true,
"pinData": {
"Webhook": [
{
"json": {
"body": {},
"query": {
"recordId": "recOdwepuUSiraVYL"
},
"params": {},
"headers": {
"host": "n8n-service-pa9k.onrender.com",
"accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
"cf-ray": "97e29ff66bd26b1d-DFW",
"cookie": "rl_session=RudderEncrypt%3AU2FsdGVkX19EnM1Kpm42gFoA1OYFjDkSIu2l9fAyrJgM2Ph4yvnf32WT0PyKcGYdKiDtmx4MWLqZf%2FfSahL0aPS2GTj%2FmlPwPtYg7wcCfWM1el9J0PPdO7jV%2FYsIr1bobha%2B9whrAz3FPsV4NeqkWg%3D%3D; rl_anonymous_id=RudderEncrypt%3AU2FsdGVkX182%2FrjmV%2BEIvTI7UdhzFsveY4aK6hrIjfMa64PWR8edvLRM9R9lXGeSsytdQhPVSD6SnjCZ51kJqw%3D%3D; rl_page_init_referrer=RudderEncrypt%3AU2FsdGVkX1%2BX46IOrIyESagMR8dVhoETr92BpAsDbMY%3D; rl_page_init_referring_domain=RudderEncrypt%3AU2FsdGVkX19atjMVv6zrE5WiqBPWo5Eq8950bwL%2FFYU%3D; rl_user_id=RudderEncrypt%3AU2FsdGVkX1%2BstVVTa7j8DqgecTMfeOOj7TA46W78xKJ5Elq%2FYv1zHUzg4J%2BV5NHlTbxY5L1DOnVHxXTOS2KI7HkyoMK343Sf3c2%2FxETewpYANc1ZeM%2FWPaUKuSIQ1plGGrEi1Ehk10hBeCMmEQnmj4QGC8Queu6TUK57IbRDdCs%3D; rl_trait=RudderEncrypt%3AU2FsdGVkX1%2Bd4xW%2FzID4k2JbHgegT1pW7jwAo6zYQt9QbI8%2FJTL0TgJ8QgtF3H1UvuQcdkiABDNNZ%2F6J7eDPwbptynByjCiJpvi6MShpa%2F5y%2BETRz9PoPc7iUPXn9seAJ6lcAKW3ZkGYqFF9HsECQw%3D%3D; ph_phc_4URIAm1uYfJO7j8kWSe0J8lc8IqnstRLS7Jx8NcakHo_posthog=%7B%22distinct_id%22%3A%2235362f442a6baf3f208bf236f90e62662493df991c6bc7fe4e2edd74be671573%238a912086-71e7-4088-b32b-39e078581b9b%22%2C%22%24sesid%22%3A%5Bnull%2C%2201993fcd-d909-710f-93d0-a413a8039c24%22%2C1757712079065%5D%2C%22%24epp%22%3Atrue%2C%22%24initial_person_info%22%3A%7B%22r%22%3A%22%24direct%22%2C%22u%22%3A%22https%3A%2F%2Fn8n-service-pa9k.onrender.com%2Fsetup%22%7D%7D",
"rndr-id": "0cc4bd81-059c-43e8",
"cdn-loop": "cloudflare; loops=1",
"priority": "u=0, i",
"cf-visitor": "{\"scheme\":\"https\"}",
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:142.0) Gecko/20100101 Firefox/142.0",
"cf-ipcountry": "MX",
"sec-fetch-dest": "document",
"sec-fetch-mode": "navigate",
"sec-fetch-site": "cross-site",
"sec-fetch-user": "?1",
"true-client-ip": "189.222.214.118",
"accept-encoding": "gzip, br",
"accept-language": "en-US,en;q=0.5",
"x-forwarded-for": "189.222.214.118, 172.68.26.22",
"x-request-start": "1757713872427303",
"cf-connecting-ip": "189.222.214.118",
"render-proxy-ttl": "4",
"x-forwarded-proto": "https",
"upgrade-insecure-requests": "1"
},
"webhookUrl": "https://n8n-service-pa9k.onrender.com/webhook/12bb14d8-f9dc-4671-b5ed-10a44238f4aa",
"executionMode": "production"
}
}
]
},
"settings": {
"executionOrder": "v1"
},
"versionId": "4de01a8d-9a52-4bc1-85cc-346392d19f60",
"connections": {
"f29d992d-3607-4270-8853-e15941e28b25": {
"main": [
[
{
"node": "de7de152-7cc6-4c7d-ab62-0a0b9dc7fde4",
"type": "main",
"index": 0
}
]
]
},
"a921857e-6b50-4ae9-a4a7-3eb41bd10e59": {
"main": [
[
{
"node": "9f2ca879-097e-4a8d-8eaa-d07deec0e00a",
"type": "main",
"index": 0
}
]
]
},
"de7de152-7cc6-4c7d-ab62-0a0b9dc7fde4": {
"main": [
[
{
"node": "b94d41cb-9cc6-4fb0-8dd8-0c97f6032198",
"type": "main",
"index": 0
}
]
]
},
"b94d41cb-9cc6-4fb0-8dd8-0c97f6032198": {
"main": [
[
{
"node": "a921857e-6b50-4ae9-a4a7-3eb41bd10e59",
"type": "main",
"index": 0
}
]
]
},
"0a495e3b-649f-44ae-b10c-874d605db264": {
"main": [
[
{
"node": "42bca267-93ae-4fe7-bf6c-e9c21dc96b24",
"type": "main",
"index": 0
}
]
]
},
"afba7da5-7706-427e-8854-bfe14acbad6f": {
"main": [
[]
]
},
"ece7ceee-ef5a-403b-a0bd-e5ab77be62cf": {
"ai_languageModel": [
[
{
"node": "9f2ca879-097e-4a8d-8eaa-d07deec0e00a",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"9f2ca879-097e-4a8d-8eaa-d07deec0e00a": {
"main": [
[
{
"node": "8c99af55-d9f1-4e88-9d15-bc57f48eb40c",
"type": "main",
"index": 0
}
]
]
},
"44a27005-e034-4fa0-a071-09b1f8915bab": {
"main": [
[
{
"node": "0a495e3b-649f-44ae-b10c-874d605db264",
"type": "main",
"index": 0
}
]
]
},
"8c99af55-d9f1-4e88-9d15-bc57f48eb40c": {
"main": [
[
{
"node": "afba7da5-7706-427e-8854-bfe14acbad6f",
"type": "main",
"index": 0
},
{
"node": "44a27005-e034-4fa0-a071-09b1f8915bab",
"type": "main",
"index": 0
}
],
[
{
"node": "f729f6b2-29df-46f4-a785-1e40dbd7ba91",
"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？
中级 - 内容创作, 多模态 AI
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。
相关工作流推荐
潜在客户资格评定与路由引擎
基于AI的潜在客户资格评定与路由：使用OpenAI、Slack和Airtable
If
Set
Slack
+
If
Set
Slack
17 节点Xavier Tai
内容创作
使用GPT-4和DALL-E在UI基础上实现自动化LinkedIn内容创建
基于AI的LinkedIn内容生成器（OpenAI GPT-4和DALL-E）
Webhook
Http Request
Agent
+
Webhook
Http Request
Agent
23 节点WeWeb
内容创作
使用GPT-4o和Apify为亚马逊卖家自动生成并发布LinkedIn内容
使用GPT-4o和Apify为亚马逊卖家自动生成并发布LinkedIn内容
If
Wait
Limit
+
If
Wait
Limit
21 节点Usman Liaqat
内容创作
使用OpenAI、RunwayML和ElevenLabs自动化无脸短视频
使用OpenAI、RunwayML和ElevenLabs自动化无脸短视频：从脚本到社交媒体
Set
Code
Wait
+
Set
Code
Wait
56 节点LeeWei
内容创作
使用GPT-5和fal.ai图像从关键词到WordPress自动化SEO博客流程
使用GPT-5和fal.ai图像从关键词到WordPress自动化SEO博客流程
Set
Code
Wait
+
Set
Code
Wait
96 节点Paul
内容创作
使用OpenAI和WordPress自动化SEO博客文章创建与发布
使用OpenAI和WordPress自动化SEO博客文章创建与发布
If
Set
Code
+
If
Set
Code
22 节点Khaisa Studio
内容创作
