製品画像からの UGC 動画生成(Telegram を通じて GPT-4、Fal.ai、KIE.ai)
上級
これはContent Creation, Multimodal AI分野の自動化ワークフローで、28個のノードを含みます。主にSet, Wait, SplitOut, Telegram, Aggregateなどのノードを使用。 テレグラムを使って製品画像からGPT-4、Fal.ai、KIE.aiを用いてUGC動画を生成
前提条件
- •Telegram Bot Token
- •ターゲットAPIの認証情報が必要な場合あり
- •OpenAI API Key
使用ノード (28)
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
{
"meta": {
"instanceId": "YOUR_N8N_INSTANCE_ID"
},
"nodes": [
{
"id": "8482af93-27b9-450f-938d-2023e8e77bbb",
"name": "付箋",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
0
],
"parameters": {
"color": 4,
"width": 864,
"height": 208,
"content": "Content Idea"
},
"typeVersion": 1
},
{
"id": "c054234e-e8de-456e-9003-799e1eae6154",
"name": "Telegramトリガー",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
112,
48
],
"webhookId": "54e3bc4b-608f-4432-8c03-811c75afa4b1",
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "wavlFD7rfZaqefft",
"name": "Telegram UGC AD VIP"
}
},
"typeVersion": 1.2
},
{
"id": "2f03d23a-21a3-4937-8045-33a495dcc5b1",
"name": "Botid 1",
"type": "n8n-nodes-base.set",
"position": [
288,
48
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "e4524d93-d12a-47aa-a6bf-c15e6d1b29c1",
"name": "bot id",
"type": "string",
"value": "YOUR_TELEGRAM_BOT_TOKEN"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "41de3164-c91e-40b8-acc2-5252bf301756",
"name": "画像パス",
"type": "n8n-nodes-base.httpRequest",
"position": [
448,
48
],
"parameters": {
"url": "=https://api.telegram.org/bot{{ $json['bot id'] }}/getFile?file_id={{ $('Telegram Trigger').item.json.message.photo[0].file_id }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "4e2148c6-2c47-42c0-aa98-4b60bbcc7305",
"name": "画像分析",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
656,
48
],
"parameters": {
"text": "Determine if the image is a character or a product. It is only considered both if there are two completely seperate images within the same image. If it is both, describe them seperately. Describe the appearance details only.\n\nYour output should only include the description, nothing else.\n",
"modelId": {
"__rl": true,
"mode": "list",
"value": "chatgpt-4o-latest",
"cachedResultName": "CHATGPT-4O-LATEST"
},
"options": {},
"resource": "image",
"imageUrls": "=https://api.telegram.org/file/bot{{ $('Botid 1').item.json['bot id'] }}/{{ $json.result.file_path }}",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"id": "aU3oyDayilaqb6iD",
"name": "OpenAi account"
}
},
"typeVersion": 1.8
},
{
"id": "a16cde3c-dada-45f4-973e-8059458a844c",
"name": "付箋1",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
240
],
"parameters": {
"color": 7,
"width": 880,
"height": 224,
"content": "Image Creation"
},
"typeVersion": 1
},
{
"id": "e6f175ef-718c-4e0e-912c-3f5bd871a957",
"name": "画像プロンプト",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
192,
304
],
"parameters": {
"text": "=Make one image prompt.\n\nEnsure you use the details of the reference image as accurately as possible for your final output.\n\nUser Instructions:\n{{ $('Telegram Trigger').item.json.message.caption }}\n\nDescription of the reference image:\n{{ $json.content }}\n\n",
"options": {
"systemMessage": "=Role: You create image prompts.\n\nMain objective: Insert the product (or the item from a reference image) into realistic, everyday situations. These should resemble content captured by regular people or influencers on their phones.\n\nCharacters should always be described as realistic and lifelike.\n\nIf the user gives vague instructions, use this structure: place the (product) into a scene with the (character).\n\nUGC focus: When the user wants authentic, user-generated content, assume casual everyday scenes unless told otherwise.\n\nIf the video takes place in a car, the perspective should be from in front of the character, with the headrest of the seat visible behind their head.\n\nStyle guidelines: All results should feel natural and unstaged, never polished or professional. Specifically:\n\n* Relatable real-world settings\n* Product text must remain untouched and accurate (logos, claims, slogans). Do not invent details or numbers.\n* iPhone snapshot look (basic, amateur quality)\n* Casual poses and unposed expressions\n* Sunlight on the character, skin detail\nRULES:\n\nAlways use single quotes ('') never use double quotes (\"\")\n\nYour only output should be the image prompt itself. No other text.\n\nNo need to generate dialogue or video instructions. only still image prompts.\n\nIf the user specifies a different style or setting, follow their direction.\n\nNever use hyphens or dashes.\n"
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "2181e18d-ee3f-46c2-9682-465ae2ae6142",
"name": "OpenAIチャットモデル",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
736,
704
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "aU3oyDayilaqb6iD",
"name": "OpenAi account"
}
},
"typeVersion": 1.2
},
{
"id": "ce393fe6-f654-4f81-a752-6003c5a8ef57",
"name": "思考",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
880,
704
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "4235666d-54be-45cb-b7a6-b511587f4427",
"name": "画像作成1",
"type": "n8n-nodes-base.httpRequest",
"position": [
464,
304
],
"parameters": {
"url": "https://queue.fal.run/fal-ai/nano-banana/edit",
"method": "POST",
"options": {},
"jsonBody": "={\n \"prompt\": \"{{ $json.output }}\",\n \"image_urls\": [\n \"https://api.telegram.org/file/bot{{ $('Botid 1').item.json['bot id'] }}/{{ $('Image Pqath').item.json.result.file_path }}\",\n \"https://i.ibb.co/q332LXHf/Whats-App-Image-2025-09-11-at-15-54-09.jpg\",\n \"https://i.ibb.co/rPRzBdK/Whats-App-Image-2025-09-11-at-15-54-11-1.jpg\",\n \"https://i.ibb.co/Zz9HPfZ9/Whats-App-Image-2025-09-11-at-15-54-12-1.jpg\",\n \"https://i.ibb.co/tp7rhyK7/Whats-App-Image-2025-09-11-at-15-54-12-2.jpg\",\n \"https://i.ibb.co/N2wDdJpJ/Whats-App-Image-2025-09-11-at-15-54-12-3.jpg\"\n ]\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "wnq2bkNKKapehhJC",
"name": "Fal API"
}
},
"typeVersion": 4.2
},
{
"id": "82ed7b41-68f8-40d3-ac2f-f5c164e47fd3",
"name": "待機",
"type": "n8n-nodes-base.wait",
"position": [
608,
304
],
"webhookId": "0f2893c6-d81a-4339-8535-15f72daa6371",
"parameters": {
"amount": 30
},
"typeVersion": 1.1
},
{
"id": "45f95593-2dba-4a03-a91e-cb3c37bbb37f",
"name": "画像取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
752,
304
],
"parameters": {
"url": "=https://queue.fal.run/fal-ai/nano-banana/requests/{{ $json.request_id }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "wnq2bkNKKapehhJC",
"name": "Fal API"
}
},
"typeVersion": 4.2
},
{
"id": "248b1998-d40f-41d4-964a-65dbee8138a4",
"name": "付箋2",
"type": "n8n-nodes-base.stickyNote",
"position": [
944,
16
],
"parameters": {
"color": 6,
"width": 1360,
"height": 208,
"content": "Video Generation Prompt"
},
"typeVersion": 1
},
{
"id": "755fe249-3493-438a-808e-4e6d8ca762cb",
"name": "動画プロンプト",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1168,
48
],
"parameters": {
"text": "=Create video prompts.\n\nUser instructions:\n{{ $('Telegram Trigger').item.json.message.caption }}\nDescription of the reference image(s):\n{{ $('Analyze image').item.json.content }}\n",
"options": {
"systemMessage": "=You are an AI agent that generates UGC (User-Generated Content) video prompts.\nYour only output must be 3 scenes in the following JSON format:\n\njson\n{\n \"scenes\": {\n \"scene 1\": \"\",\n \"scene 2\": \"\",\n \"scene 3\": \"\"\n }\n}\n\nScene Structure\n\nScene 1 (Hook):** Start with a casual line that grabs attention and ties to the product.\n\nScene 2 (Product):** Show what the product does or the benefit it gives.\n\nScene 3 (Call to Action):** End with a natural CTA like 'You can click the link below to get some for yourself'.\n\nScenes must flow together like a mini-story. Always pull in details from the reference image in a UGC style.\n\n**Description Requirement**\nEvery scene must include a description that covers:\n\nThe character (appearance, vibe, or mood)\nThe action they’re taking (what they’re doing)\nThe setting (the environment or location)\n\nAvoid dashes and hyphens.\n\nDialogue Rules\nBegin each scene with: Dialogue:\n\nWrite 2–3 conversational sentences (100 < 200 characters).\n\nThe dialogue between scenes should flow like a casual conversation.\n\nKeep tone casual, like talking to a friend. Avoid scripted or overly formal lines.\n\nUse ... for pauses, not dashes or hyphens.\n\nUnless requested, the character only shows the product — no eating, opening, or using.\nAlways use single quotes for dialogue ('') never double quotes.\n\nCamera Rules\nEnd each scene with: Camera:\n\nCamera descriptions must emphasize UGC style, e.g.: amateur iPhone video, snapchat clip, uneven framing, slightly blurry, casual phone footage.\n\nStyle Guidelines\n\nAll prompts should look natural, candid, and unpolished:\n\n Everyday, realistic environments\n\n Phone-quality lighting and framing\n\n Candid expressions and poses\n\n No staged or 'polished' aesthetics\n\n If the character is fictional, the mouth movement should look realistic.\n\n**Formatting Rules**\nNever use double quotes.\nFollow the exact JSON schema shown above.\n"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "4a7c71f7-9044-42c5-bbf3-3c910d89cd91",
"name": "構造化出力パーサー",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1232,
608
],
"parameters": {
"autoFix": true,
"schemaType": "manual",
"inputSchema": "\n{\n \"type\": \"object\",\n \"properties\": {\n \"scenes\": {\n \"type\": \"object\",\n \"properties\": {\n \"scene 1\": { \"type\": \"string\" },\n \"scene 2\": { \"type\": \"string\" },\n \"scene 3\": { \"type\": \"string\" }\n },\n \"required\": [\"scene 1\", \"scene 2\", \"scene 3\"]\n }\n },\n \"required\": [\"scenes\"]\n}\n\n"
},
"typeVersion": 1.3
},
{
"id": "38738213-4bb4-46c5-adba-47acec1788b8",
"name": "分割出力",
"type": "n8n-nodes-base.splitOut",
"position": [
1456,
48
],
"parameters": {
"options": {},
"fieldToSplitOut": "output.scenes"
},
"typeVersion": 1
},
{
"id": "e3c4bf59-57b6-4ecb-b1af-e1394d5af1dd",
"name": "Make動画1",
"type": "n8n-nodes-base.httpRequest",
"position": [
1648,
48
],
"parameters": {
"url": "https://api.kie.ai/api/v1/veo/generate",
"method": "POST",
"options": {},
"jsonBody": "={\n \"prompt\": \"{{ $json['output.scenes'] }}\",\n \"model\": \"veo3_fast\",\n \"aspectRatio\": \"9:16\",\n \"imageUrls\": \"{{ $('Get the Image').item.json.images[0].url }}\"\n}\n",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer YOUR_KIE_AI_API_KEY"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "e05839ad-25b6-48c3-8729-8bbc9990e032",
"name": "記録情報取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
2048,
48
],
"parameters": {
"url": "https://api.kie.ai/api/v1/veo/record-info",
"options": {},
"sendQuery": true,
"sendHeaders": true,
"queryParameters": {
"parameters": [
{
"name": "taskId",
"value": "={{ $json.data.taskId }}"
}
]
},
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "Bearer 8765340d50a3202f4ee5b79a356b54f3"
}
]
}
},
"retryOnFail": true,
"typeVersion": 4.2
},
{
"id": "18515c34-3187-4ccc-9ff9-5331615bd5d9",
"name": "待機1",
"type": "n8n-nodes-base.wait",
"position": [
1856,
48
],
"webhookId": "94d914ee-3cbe-4dd8-9c56-1a7c194c8277",
"parameters": {
"amount": 100
},
"typeVersion": 1.1
},
{
"id": "4d1ae9bf-9c23-40da-a1bb-35dd434bf11c",
"name": "付箋3",
"type": "n8n-nodes-base.stickyNote",
"position": [
944,
240
],
"parameters": {
"color": 3,
"width": 1360,
"height": 240,
"content": "Combine The video"
},
"typeVersion": 1
},
{
"id": "4a19e505-c3b8-44b8-b9eb-c5ee745ddbf3",
"name": "集約",
"type": "n8n-nodes-base.aggregate",
"position": [
1216,
320
],
"parameters": {
"options": {},
"fieldsToAggregate": {
"fieldToAggregate": [
{
"fieldToAggregate": "data.response.resultUrls[0]"
}
]
}
},
"typeVersion": 1
},
{
"id": "2e47aa96-c962-4682-9eb4-0d399e145c8c",
"name": "動画結合",
"type": "n8n-nodes-base.httpRequest",
"position": [
1424,
320
],
"parameters": {
"url": "https://queue.fal.run/fal-ai/ffmpeg-api/merge-videos",
"method": "POST",
"options": {},
"jsonBody": "={\n \"video_urls\": [{{ $json.resultUrls[0].map(url => `\"${url}\"`) }}]\n}\n",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "wnq2bkNKKapehhJC",
"name": "Fal API"
}
},
"typeVersion": 4.2
},
{
"id": "86a4e2ec-07fd-402b-a554-e5061de603e2",
"name": "待機2",
"type": "n8n-nodes-base.wait",
"position": [
1632,
320
],
"webhookId": "23c4da90-0fe5-4390-b2ef-d5739b8831db",
"parameters": {
"amount": 100
},
"typeVersion": 1.1
},
{
"id": "24f4d1a8-0c60-4848-acdf-0223c8b4579a",
"name": "最終動画取得",
"type": "n8n-nodes-base.httpRequest",
"position": [
1840,
320
],
"parameters": {
"url": "=https://queue.fal.run/fal-ai/ffmpeg-api/requests/{{ $json.request_id }}",
"options": {},
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"credentials": {
"httpHeaderAuth": {
"id": "wnq2bkNKKapehhJC",
"name": "Fal API"
}
},
"typeVersion": 4.2
},
{
"id": "7e66cc28-ce4b-4d14-937c-55b5a9a9c971",
"name": "動画送信",
"type": "n8n-nodes-base.telegram",
"position": [
2048,
320
],
"webhookId": "6e4bab84-d0ae-46c9-89a2-289cddf9dbf0",
"parameters": {
"file": "={{ $json.video.url }}",
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"operation": "sendVideo",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "wavlFD7rfZaqefft",
"name": "Telegram UGC AD VIP"
}
},
"typeVersion": 1.2
},
{
"id": "903ebc12-5eac-49e6-b64d-f6ea55cbfa8b",
"name": "写真メッセージ送信",
"type": "n8n-nodes-base.telegram",
"position": [
480,
704
],
"webhookId": "3435ff97-2b47-47af-9913-8871df77daba",
"parameters": {
"file": "={{ $json.images[0].url }}",
"chatId": "={{ $('Telegram Trigger').item.json.message.chat.id }}",
"operation": "sendPhoto",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"id": "wavlFD7rfZaqefft",
"name": "Telegram UGC AD VIP"
}
},
"typeVersion": 1.2
},
{
"id": "9b9f0923-d06a-4d64-a291-d23dafdf6ea2",
"name": "付箋7",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1088,
0
],
"parameters": {
"color": 5,
"width": 528,
"height": 640,
"content": "## Muhammad Farooq Iqbal - Automation Expert & n8n Creator\n\nI am a passionate automation expert and recognized n8n Creator specializing in intelligent workflow automation. With extensive experience in n8n, AI automation, Zapier, and Make.com, I have created innovative workflow templates with 500+ downloads across the global automation community\n\n### Expertise\n- **Workflow Automation**: n8n, Zapier, Make.com, AI automation\n- **AI Integration**: Gemini AI, API integration, data processing\n- **Platform Mastery**: Google Sheets, Google Drive, custom scripts\n\n## Need Help with This Workflow?\n\nIf you face any issues with this workflow or need customization support, feel free to reach out:\n\n**📧 Email**: mfarooqiqbal143@gmail.com \n**📱 Phone**: +923036991118 \n**💼 LinkedIn**: [Connect with me](https://linkedin.com/in/muhammadfarooqiqbal) \n**🌐 Portfolio**: [View my work](https://mfarooqone.github.io/n8n/)\n\n*I'm always excited to help with automation challenges and workflow optimization!*\n"
},
"typeVersion": 1
},
{
"id": "0a5ccf70-91b6-4f4b-b8d9-716c0449982f",
"name": "セットアップ手順",
"type": "n8n-nodes-base.stickyNote",
"position": [
-528,
0
],
"parameters": {
"color": 4,
"width": 448,
"height": 640,
"content": "**Setup Instructions for UGC Content Creator:**\n\n**1. Configure Credentials:**\n- **Telegram API**: Set up your Telegram bot token\n- **OpenAI API**: Add your OpenAI API key for image analysis\n- **Fal.ai API**: Configure Fal.ai API key for image generation\n- **KIE.ai API**: Add KIE.ai API key for video generation\n\n**2. Telegram Bot Setup:**\n- Create a Telegram bot via @BotFather\n- Get your bot token and update in credentials\n- Set up webhook for the Telegram Trigger node\n\n**3. API Keys Required:**\n- OpenAI API key (for GPT-4 Vision analysis)\n- Fal.ai API key (for image generation & video merging)\n- KIE.ai API key (for Veo3 video generation)\n\n**4. Test the Workflow:**\n- Send an image with caption to your Telegram bot\n- The workflow will analyze, generate images, and create UGC videos\n- Check all API connections are working properly\n\n**5. Customization Options:**\n- Modify image generation prompts in 'Image Prompt' node\n- Adjust video scene prompts in 'Video Prompt' node\n- Update reference images in 'Create Image 1' node\n\n**Ready to create UGC content!** 🚀"
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"82ed7b41-68f8-40d3-ac2f-f5c164e47fd3": {
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"2f03d23a-21a3-4937-8045-33a495dcc5b1": {
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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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