フェイスレスビデオジェネレーター - アイデアを動画に自動変換
上級
これはContent Creation, Multimodal AI分野の自動化ワークフローで、37個のノードを含みます。主にSet, Wait, Merge, SplitOut, Aggregateなどのノードを使用。 Gemini、ElevenLabs、Leonardo AI、Shotstackを使って顔なしの動画を作成する
前提条件
- •Google Drive API認証情報
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
- •Google Gemini API Key
使用ノード (37)
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
"id": "SfN2LB0yzDGfq2fl",
"meta": {
"instanceId": "ed6d846a2fce1f660ede2e7da800724cca01dc3d0685524a3c917881b7cfcfe9",
"templateCredsSetupCompleted": true
},
"name": "Faceless Video Machine – Turn Ideas into Videos Automatically",
"tags": [],
"nodes": [
{
"id": "da94f942-f640-427e-ab03-8fd2dd2ac64e",
"name": "音声をドライブにアップロード",
"type": "n8n-nodes-base.googleDrive",
"position": [
-80,
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],
"parameters": {
"name": "=faceless-video-audio-{{ $now.toISO() }}",
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive"
},
"options": {},
"folderId": {
"__rl": true,
"mode": "list",
"value": "root",
"cachedResultName": "/ (Root folder)"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "NRXiYxSXKt3Xb0ac",
"name": "Google Drive - toan.ngo"
}
},
"typeVersion": 3
},
{
"id": "75321cd0-3789-4ac2-9ce5-13e49165c106",
"name": "マージ",
"type": "n8n-nodes-base.merge",
"position": [
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],
"parameters": {
"mode": "combine",
"options": {
"includeUnpaired": true
},
"combineBy": "combineByPosition"
},
"typeVersion": 3
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{
"id": "d06d65ee-1c31-4b3a-962e-0b418b089e2f",
"name": "構造化出力パーサー1",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
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"parameters": {
"schemaType": "manual",
"inputSchema": "{\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"properties\": {\n \"start_time\": {\n \"type\": \"number\"\n },\n \"end_time\": {\n \"type\": \"number\"\n },\n \"duration\": {\n \"type\": \"number\"\n },\n \"prompt\": {\n \"type\": \"string\"\n }\n },\n \"required\": [\"start_time_seconds\", \"end_time_seconds\", \"prompt\"]\n }\n}\n"
},
"typeVersion": 1.2
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{
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"parameters": {
"color": 3,
"width": 860,
"height": 880,
"content": "## 7. Video Editing And Downloading\n- The raw video, along with timestamps or subtitles, is sent to **Shotstack**, a video editing tool that supports advanced edits.\n- A delay of 1 minute allows **Shotstack** to process the edit.\n- Then, the tool checks whether the edited video is finished by **Shotstack** and ready to be downloaded.\n- Once completed, you can download the final polished video to your local storage for later use."
},
"typeVersion": 1
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{
"id": "6e3428b3-c1fb-4bf5-826c-6b41c90fc7c5",
"name": "付箋23",
"type": "n8n-nodes-base.stickyNote",
"position": [
340,
-140
],
"parameters": {
"color": 3,
"width": 640,
"height": 880,
"content": "## 4. Timestamps Generation\n- The tool merges the original script and the **OpenAI Whisper**-generated transcription.\n- The merged data is passed to **Google Gemini's chat model** to generate image prompts with precise timestamps.\n- The output is parsed and cleaned using a structured parser to ensure it's in ready-to-use JSON format for image generation."
},
"typeVersion": 1
},
{
"id": "7fe9f339-f0a9-4ef1-a187-b99267169bee",
"name": "付箋24",
"type": "n8n-nodes-base.stickyNote",
"position": [
1040,
-140
],
"parameters": {
"color": 3,
"width": 740,
"height": 880,
"content": "## 5. Images Generation\n- The full list of timestamped prompts is is split into individual entries.\n- Each prompt is sent to **Leonardo's API** that turns text descriptions into visuals.\n- A delay of 30 seconds is added to give the image generation engine enough time to complete rendering.\n- Once completed, the workflow retrieves all final images for the next stage."
},
"typeVersion": 1
},
{
"id": "4d469807-e522-4af3-8e8a-d8765e5ddb21",
"name": "付箋25",
"type": "n8n-nodes-base.stickyNote",
"position": [
1840,
-140
],
"parameters": {
"color": 3,
"width": 960,
"height": 880,
"content": "## 6. Images to Video Conversion\n- All generated images are sent to **Leonardo's API**, which stitches them together based on the structured prompts and timing.\n- A 5-minute wait allows time for rendering.\n- After the wait, the workflow retrieves the generated small videos and makes them downloadable.\n- Then, the tool aggregates all downloaded videos into a single unified structure, preparing them for the final editing."
},
"typeVersion": 1
},
{
"id": "c4943664-8f2e-437e-b2ce-cccce7831b94",
"name": "付箋29",
"type": "n8n-nodes-base.stickyNote",
"position": [
-960,
-140
],
"parameters": {
"color": 3,
"width": 560,
"height": 880,
"content": "## 2. Script Generation\n- Your idea is passed to **Google Gemini's chat model**. The model returns a concise, 60-second faceless video script. \n- The script is then reformatted into a structured layout optimized for voice generation and visual synchronization."
},
"typeVersion": 1
},
{
"id": "3a0703be-2494-4769-b57c-5d6f2adefb54",
"name": "付箋30",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
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],
"parameters": {
"color": 3,
"width": 620,
"height": 880,
"content": "## 3. Audio Generation\n- The formatted script is passed to **ElevenLabs**, which turns the text into a high-quality voiceover audio.\n- The generated audio is uploaded to **Google Drive** and made publicly accessible.\n- At the same time, the audio is sent to **OpenAI Whisper** via a POST request to generate a transcription of the voiceover."
},
"typeVersion": 1
},
{
"id": "e3f43f3a-7b68-4534-a2e0-425d4d9fc6e3",
"name": "「Test workflow」クリック時",
"type": "n8n-nodes-base.manualTrigger",
"position": [
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"parameters": {},
"typeVersion": 1
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{
"id": "2cb28f94-f118-4cb3-a94c-b006d4bf7268",
"name": "画像プロンプト生成",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
600,
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],
"parameters": {
"text": "=You are an expert image generation prompt creator. Based on the transcript provided below, divide the video into consecutive scenes, with each scene lasting between 2.00 to 4.00 seconds. There must be no gaps between scenes — ensure the entire duration of the video is covered.\n\nFor each scene, output:\n\nA descriptive image prompt that best represents the content of that scene\n\nThe start time, end time, and duration of the scene (in seconds), formatted like this: 2.00-4.25\n\nEach duration must have exactly two decimal points of precision\n\nOnly output one prompt per scene. Prioritize visual storytelling, aligning imagery with the spoken content in the transcript. The prompts should be rich, cinematic, and vivid, ideal for faceless video content.\n\nHere is the video transcript:\n\n{{JSON.stringify($json.words) }}",
"promptType": "define",
"hasOutputParser": true
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"typeVersion": 1.5
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{
"id": "8d34836e-3a01-4f6e-819a-89386854e139",
"name": "自動修正出力パース",
"type": "@n8n/n8n-nodes-langchain.outputParserAutofixing",
"position": [
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"parameters": {
"options": {}
},
"typeVersion": 1
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{
"id": "64a688f7-5cdc-4ee3-b063-52a25157189b",
"name": "プロンプト分割",
"type": "n8n-nodes-base.splitOut",
"position": [
1100,
200
],
"parameters": {
"options": {},
"fieldToSplitOut": "output"
},
"typeVersion": 1
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{
"id": "69287f57-453c-4f7a-bb6e-f5207eceff45",
"name": "5分待機",
"type": "n8n-nodes-base.wait",
"position": [
2100,
200
],
"webhookId": "2c6c93bb-0dc9-4a79-8ee9-8cafbe89775f",
"parameters": {
"unit": "minutes"
},
"typeVersion": 1.1
},
{
"id": "d38722a5-eee9-49af-a3ef-ded73f2deaeb",
"name": "集約",
"type": "n8n-nodes-base.aggregate",
"position": [
2640,
200
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData",
"destinationFieldName": "list"
},
"typeVersion": 1
},
{
"id": "40559316-89fc-4ef2-9215-065b30e96bab",
"name": "Shotstackで編集",
"type": "n8n-nodes-base.httpRequest",
"position": [
2920,
200
],
"parameters": {
"url": "https://api.shotstack.io/edit/stage/render",
"method": "POST",
"options": {},
"jsonBody": "={\n \"timeline\": {\n \"soundtrack\":{\n \"src\":\"{{ $('Upload Audio to Drive').first().json.webContentLink }}\" \n},\n \"tracks\": [\n {\n \"clips\":{{ JSON.stringify($('Aggregate').first().json.list.map((item, i) => ({\n \"asset\": {\n \"type\": \"video\",\n \"src\": item.generations_by_pk.generated_images[0].motionMP4URL\n },\n \"start\": $('Generate Image Prompts').first().json.output[i].start_time,\n \"length\": 20\n }))) }}\n }\n ]\n },\n \"output\": {\n \"format\": \"mp4\",\n \"size\": {\n \"width\": 720,\n \"height\": 1280\n }\n }\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "SIZyEwK4lEDa0PdZ",
"name": "Header Auth shotstack - toan.ngo"
}
},
"typeVersion": 4.2
},
{
"id": "6db5e94d-b6da-4f04-b22a-e27caca48c60",
"name": "1分待機",
"type": "n8n-nodes-base.wait",
"position": [
3120,
200
],
"webhookId": "12282cce-3a80-4646-84d3-ac3225c18f6d",
"parameters": {
"unit": "minutes",
"amount": 1
},
"typeVersion": 1.1
},
{
"id": "c664a13e-1298-4828-a446-bd853c7d31e2",
"name": "フィールド - アイデア設定",
"type": "n8n-nodes-base.set",
"position": [
-1200,
180
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "6b5b5d77-fd3d-497c-82e5-99fc74f53efb",
"name": "Idea",
"type": "string",
"value": "What is AI Agents"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "859c2506-afe3-43ec-abc4-f09d7cbde9db",
"name": "60秒スクリプト作成",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
-880,
180
],
"parameters": {
"text": "=Idea: {{ $json.idea }}",
"messages": {
"messageValues": [
{
"message": "Act as a YouTube video scriptwriter and create an engaging, captivating script for a 1-minute video (based on medium-paced speech). The script should attract and retain viewers using elements like storytelling, relatable content, a clear structure, and clever analogies to boost audience engagement.\n\nThe video topic is: (VIDEO IDEA). Use your creativity and expertise to produce a high-quality, informative script that appeals to a wide audience.\n\nInstructions:\n- Only output the script text—no explanations or extra commentary.\n- Use CAPITAL LETTERS and EXCLAMATION MARKS (!) generously to add emotion and emphasis where appropriate."
}
]
},
"promptType": "define"
},
"typeVersion": 1.5
},
{
"id": "f2ca8c1b-2512-4aaa-bdc3-ac64459b6778",
"name": "OpenAI チャットモード",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-720,
360
],
"parameters": {
"model": "anthropic/claude-3.5-sonnet",
"options": {
"baseURL": "https://openrouter.ai/api/v1"
}
},
"credentials": {
"openAiApi": {
"id": "qULV9xA6eq3tfpye",
"name": "OpenAi - nhu.le"
}
},
"typeVersion": 1
},
{
"id": "c69ecd98-cc31-4fa1-b0f1-c6c7edb5950a",
"name": "OpenAI チャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
420,
560
],
"parameters": {
"model": "anthropic/claude-3.5-sonnet",
"options": {
"baseURL": "https://openrouter.ai/api/v1"
}
},
"credentials": {
"openAiApi": {
"id": "qULV9xA6eq3tfpye",
"name": "OpenAi - nhu.le"
}
},
"typeVersion": 1
},
{
"id": "1bb38452-6806-412c-8568-c74260d0a103",
"name": "フィールド - スクリプト形式",
"type": "n8n-nodes-base.set",
"position": [
-540,
180
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "974ee00c-4264-494f-9606-c8b717d1fb09",
"name": "text",
"type": "string",
"value": "={{ $json.text.replace(/(\\r\\n|\\n|\\r)/g, \"\"); }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "a410a4cd-14d3-4c8f-857d-03af500f764b",
"name": "音声生成",
"type": "n8n-nodes-base.httpRequest",
"position": [
-260,
180
],
"parameters": {
"url": "=https://api.elevenlabs.io/v1/text-to-speech/TxGEqnHWrfWFTfGW9XjX",
"method": "POST",
"options": {},
"sendBody": true,
"sendHeaders": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "text",
"value": "={{ $json.text }}"
}
]
},
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "XEYQJheNlddMMBnV",
"name": "Header Auth - elevenlabs - toan.ngo"
}
},
"typeVersion": 4.2
},
{
"id": "0ef69faa-ed6e-4760-b3b1-9f61ff1ab3b6",
"name": "画像生成",
"type": "n8n-nodes-base.httpRequest",
"position": [
1280,
200
],
"parameters": {
"url": "https://cloud.leonardo.ai/api/rest/v1/generations",
"method": "POST",
"options": {},
"sendBody": true,
"authentication": "genericCredentialType",
"bodyParameters": {
"parameters": [
{
"name": "height",
"value": "={{ 1280 }}"
},
{
"name": "prompt",
"value": "={{ $json.prompt }}"
},
{
"name": "width",
"value": "={{ 720 }}"
},
{
"name": "modelId",
"value": "1dd50843-d653-4516-a8e3-f0238ee453ff"
}
]
},
"genericAuthType": "httpHeaderAuth"
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"credentials": {
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"id": "VP1GCWkS2BelVjN9",
"name": "Header Auth - leonardo - toan.ngo"
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{
"id": "30931947-d793-4e9c-b01d-c23b0879eff1",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
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"parameters": {
"width": 700,
"height": 2680,
"content": "## [Agent Circle's N8N Workflow] Automated Faceless Video Creator - Try It Out!\n\n**This n8n template demonstrates walks you through a fully automated process to generate faceless videos - from script creation to final download - using AI-generated voice, images, and smart video editing.**\n\nUse cases are many: This tool is perfect for **YouTube and Shorts creators** who want to publish daily content without showing their face, **TikTok and Reels marketers** automating voice-over-driven videos, and **solopreneurs** scaling up their content without hiring a team. It’s also ideal for **agencies** producing batches of faceless video ads, **automation enthusiasts** building smart media workflows in n8n, and anyone who’s rich in ideas but tired of spending hours editing.\n\n## How It Works\n- Phase 1: **Provide Topic Input**\n - A short topic and idea should be entered into the **Idea** part in Node **Fields - Set Idea** inside the workflow in n8n.\n - Trigger the process manually by clicking **Test Workflow** or **Execute Workflow**. \n- Phase 2: **Script Generation**\n - Your idea is passed to **Google Gemini's chat model**. The model returns a concise, 60-second faceless video script. \n - The script is then reformatted into a structured layout optimized for voice generation and visual synchronization.\n- Phase 3: **Audio Generation**\n - The formatted script is passed to **ElevenLabs**, which turns the text into a high-quality voiceover audio.\n - The generated audio is uploaded to **Google Drive** and made publicly accessible.\n - At the same time, the audio is sent to **OpenAI Whisper** via a POST request to generate a transcription of the voiceover.\n- Phase 4: **Timestamps Generation**\n - The tool merges the original script and the **OpenAI Whispe**r-generated transcription.\n - The merged data is passed to **Google Gemini's chat model** to generate image prompts with precise timestamps.\n - The output is parsed and cleaned using a structured parser to ensure it's in ready-to-use JSON format for image generation.\n- Phase 5: **Images Generation**\n - The full list of timestamped prompts is is split into individual entries.\n - Each prompt is sent to **Leonardo's API** that turns text descriptions into visuals.\n - A delay of 30 seconds is added to give the image generation engine enough time to complete rendering.\n - Once completed, the workflow retrieves all final images for the next stage.\n- Phase 6: **Images To Video Conversion**\n - All generated images are sent to **Leonardo's API**, which stitches them together based on the structured prompts and timing.\n - A 5-minute wait allows time for rendering.\n - After the wait, the workflow retrieves the generated small videos and makes them downloadable.\n - Then, the tool aggregates all downloaded videos into a single unified structure, preparing them for the final editing.\n- Phase 7: **Video Editing and Downloading**\n - The raw video, along with timestamps or subtitles, is sent to **Shotstack**, a video editing tool that supports advanced edits.\n - A delay of 1 minute allows **Shotstack** to process the edit.\n - Then, the tool checks whether the edited video is finished by **Shotstack** and ready to be downloaded.\n - Once completed, you can download the final polished video to your local storage for later use.\n\n## How To Use\n- Download the workflow package.\n- Import the package into your n8n interface.\n- Set up necessary credentials for tools access and usability:\n + For Google Gemini access, please connect to its API in the following nodes:\n Node **Google Gemini Chat Model 1**\n Node **Google Gemini Chat Model 2**\n + For Google Drive access, please ensure connection in the following nodes:\n Node **Upload Audio to Drive**\n Node **Make Audio File Public**\n + For ElevenLabs access, please connect to its API in the following node:\n Node **Generate Voice**\n + For OpenAI Whisper access, please connect to its API in the following node:\n Node **Transcribe Audio with OpenAI Whisper**\n + For Leonardo access, please allow connection to its API in the following nodes:\n Node **Generate Images**\n Node **Generate Videos/Scenes**\n + For Shortstack access, please connect to its API in the following nodes:\n Node **Edit with Shotstack**\n Node **Render Final Video with Shotstack**\n- Input your video idea or short description as a string in Node **Fields - Set Idea** in n8n.\n- Run the workflow by clicking **Execute Workflow** or **Test Workflow**.\n- Wait the process to run and finish.\n- View the result in Node **Download Final Video** and download it in your local storage for later use.\n\n## Requirements\n- Basic setup in **Google Cloud Console** (OAuth or API Key method enabled) with enabled access to Google Drive.\n- **Google Gemini API** access with permission to use chat-based large language models.\n- **ElevenLabs API** access for generating high-quality voiceovers from scripts.\n- **OpenAI Whisper API** access to transcribe voiceovers into clean text.\n- **Leonardo API** access for both image and video generation tasks.\n- **Shotstack API** access for editing and rendering the final video with enhanced visuals and timing.\n\n## How To Customize\n- You can input your requested video topic or description directly in Node **Fields – Set Idea**.\n- By default, the script length is set to around 60 seconds in Node **60 Second Script Writer**. You can easily change this in the prompt to create shorter or longer videos based on your needs.\n- While the default setup uses **Google Gemini** for script and prompt generation, you can replace it with **OpenAI ChatGPT**, **Claude**, or any other compatible chat-based model you prefer.\n- The voiceover is currently created using **ElevenLabs**, but you’re free to substitute it with other text-to-speech engines like **Google Cloud Text-to-Speech**, **HeyGen**, etc.\n- We're using **OpenAI Whisper** to transcribe the voiceover into text. You can switch to alternatives such as **AssemblyAI**, **Deepgram**, or other compatible providers depending on your preference.\n- This workflow uses **Leonardo** for both image and video generation. You can swap it out for other compatible providers based on availability or style preference.\n- Video editing is handled by **Shotstack** by default. You can plug in alternatives like **Runway**, **FFmpeg**, or other API-based editors depending on your editing needs or desired effects.\n\n\nIf you’d like this workflow customized to fit your tools and platforms availability, or if you’re looking to build a tailored AI Agent for your own business - please feel free to reach out to [**Agent Circle**](https://www.agentcircle.ai/). We’re always here to support and help you to bring automation ideas to life.\n\n## Need Help?\nJoin our community on different platforms for support, inspiration and tips from others.\n\nWebsite: https://www.agentcircle.ai/\nEtsy: https://www.etsy.com/shop/AgentCircle\nGumroad: http://agentcircle.gumroad.com/\nDiscord Global: https://discord.gg/d8SkCzKwnP\nFB Page Global: https://www.facebook.com/agentcircle/\nFB Group Global: https://www.facebook.com/groups/aiagentcircle/\nX: https://x.com/agent_circle\nYouTube: https://www.youtube.com/@agentcircle\nLinkedIn: https://www.linkedin.com/company/agentcircle\n"
},
"typeVersion": 1
},
{
"id": "c34f4595-1f67-4141-999e-6650c88f1356",
"name": "Google Gemini チャットモデル2",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
600,
560
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "AlDwotqhFT4EfJXQ",
"name": "Google Gemini(PaLM) Api - toan.ngo"
}
},
"typeVersion": 1
},
{
"id": "a046815f-556b-4d0e-a0c5-f31081fba0f8",
"name": "Google Gemini チャットモデル1",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
-880,
360
],
"parameters": {
"options": {},
"modelName": "models/gemini-2.0-flash"
},
"credentials": {
"googlePalmApi": {
"id": "AlDwotqhFT4EfJXQ",
"name": "Google Gemini(PaLM) Api - toan.ngo"
}
},
"typeVersion": 1
},
{
"id": "e3c5aedf-6828-459c-9552-324567e4a928",
"name": "Make 音声ファイル公開",
"type": "n8n-nodes-base.googleDrive",
"position": [
120,
320
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
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}よくある質問
このワークフローの使い方は?
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか?
上級 - コンテンツ作成, マルチモーダルAI
有料ですか?
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。
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ワークフロー情報
難易度
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ノード数37
カテゴリー2
ノードタイプ14
作成者
Agent Circle
@agentcircleAgent Circle - A growing marketplace of AI agents, workflows, and toolkits — built to help teams automate smarter and scale faster
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