This workflow follows the Agent → HTTP Request 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 →
{
"id": "c1RYY5JDniAWe4Lm",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "\u00f0\u009f\u0092\u00a5 Create AI Viral Videos using NanoBanana 2 PRO & VEO3.1 and Publish via Blotato -vide",
"tags": [],
"nodes": [
{
"id": "7c727b4c-0395-4262-85f9-b00fa9d5aa9e",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
928,
832
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "913750ef-1d67-4a69-ab6d-8219b44a54ec",
"name": "Think",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
1072,
832
],
"parameters": {},
"typeVersion": 1
},
{
"id": "0f440371-db4d-4847-a104-5bd02f5ec495",
"name": "Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1200,
832
],
"parameters": {
"jsonSchemaExample": "{\n \"prompt\": \"string\",\n \"caption\": \"string\",\n \"title\": \"string\", \n \"hashtags\": \"string\"\n}\n"
},
"typeVersion": 1.3
},
{
"id": "b5174475-5425-49de-97fa-381e573f260f",
"name": "Telegram Trigger: Receive Video Idea",
"type": "n8n-nodes-base.telegramTrigger",
"position": [
784,
192
],
"parameters": {
"updates": [
"message"
],
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "c52b61fe-df02-4c7f-9b1d-c8763d081c0f",
"name": "Set Master Prompt",
"type": "n8n-nodes-base.set",
"position": [
800,
640
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cc2e0500-57b1-4615-82cb-1c950e5f2ec4",
"name": "json_master",
"type": "string",
"value": "={\n \"description\": \"Brief narrative description of the scene, focusing on key visual storytelling and product transformation.\",\n \"style\": \"cinematic | photorealistic | stylized | gritty | elegant\",\n \"camera\": {\n \"type\": \"fixed | dolly | Steadicam | crane combo\",\n \"movement\": \"describe any camera moves like slow push-in, pan, orbit\",\n \"lens\": \"optional lens type or focal length for cinematic effect\"\n },\n \"lighting\": {\n \"type\": \"natural | dramatic | high-contrast\",\n \"sources\": \"key lighting sources (sunset, halogen, ambient glow...)\",\n \"FX\": \"optional VFX elements like fog, reflections, flares\"\n },\n \"environment\": {\n \"location\": \"describe location or room (kitchen, desert, basketball court...)\",\n \"set_pieces\": [\n \"list of key background or prop elements\",\n \"e.g. hardwood floors, chain-link fence, velvet surface\"\n ],\n \"mood\": \"describe the ambient atmosphere (moody, clean, epic...)\"\n },\n \"elements\": [\n \"main physical items involved (product box, accessories, vehicles...)\",\n \"include brand visibility (logos, packaging, texture...)\"\n ],\n \"subject\": {\n \"character\": {\n \"description\": \"optional \u00e2\u0080\u0093 physical description, outfit\",\n \"pose\": \"optional \u00e2\u0080\u0093 position or gesture\",\n \"lip_sync_line\": \"optional \u00e2\u0080\u0093 spoken line if there\u00e2\u0080\u0099s a voiceover\"\n },\n \"product\": {\n \"brand\": \"Brand name\",\n \"model\": \"Product model or name\",\n \"action\": \"description of product transformation or assembly\"\n }\n },\n \"motion\": {\n \"type\": \"e.g. transformation, explosion, vortex\",\n \"details\": \"step-by-step visual flow of how elements move or evolve\"\n },\n \"VFX\": {\n \"transformation\": \"optional \u00e2\u0080\u0093 describe style (neon trails, motion blur...)\",\n \"impact\": \"optional \u00e2\u0080\u0093 e.g. shockwave, glow, distortion\",\n \"particles\": \"optional \u00e2\u0080\u0093 embers, sparks, thread strands...\",\n \"environment\": \"optional \u00e2\u0080\u0093 VFX affecting the scene (ripples, wind...)\"\n },\n \"audio\": {\n \"music\": \"optional \u00e2\u0080\u0093 cinematic score, trap beat, ambient tone\",\n \"sfx\": [\n \"list of sound effects (zip, pop, woosh...)\"\n ],\n \"ambience\": \"optional \u00e2\u0080\u0093 background soundscape (traffic, wind...)\",\n \"voiceover\": {\n \"delivery\": \"tone and style (confident, whisper, deep...)\",\n \"line\": \"text spoken if applicable\"\n }\n },\n \"ending\": \"Final shot description \u00e2\u0080\u0093 what is seen or felt at the end (freeze frame, logo pulse, glow...)\",\n \"text\": \"none | overlay | tagline | logo pulse at end only\",\n \"format\": \"16:9 | 4k | vertical\",\n \"keywords\": [\n \"brand\",\n \"scene style\",\n \"motion type\",\n \"camera style\",\n \"sound mood\",\n \"target theme\"\n ]\n}\n"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "8d368aed-2dd7-47c2-90e8-bd9d8163ab4a",
"name": "AI Agent: Generate Video Script",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1008,
640
],
"parameters": {
"text": "=Create a UGC-style video prompt using both the reference image and the user description. \n\n**Inputs** \n- User description (optional): \n `{{ $('Telegram Trigger: Receive Video Idea').item.json.message.caption }}` \n- Reference image analysis (stay strictly faithful to what\u00e2\u0080\u0099s visible): \n `{{ $('OpenAI Vision: Analyze Reference Image').item.json.content }}` \n\n**Rules** \n- Keep the style casual, authentic, and realistic. Avoid studio-like or cinematic language. \n- Default model: `veo3.1` (unless otherwise specified). \n- Output only **one JSON object** with the key: `video_prompt`. \n",
"options": {
"systemMessage": "=system_prompt:\n ## SYSTEM PROMPT: Structured Video Ad Prompt Generator\n A - Ask:\n Generate a structured video ad prompt for cinematic generation, strictly based on the master schema provided in: {{ $json.json_master }}.\n The final result must be a JSON object with exactly 3 top-level keys: `prompt`, `caption`, `title` and `hashtags`.\n\n G - Guidance:\n role: Creative Director\n output_count: 1\n character_limit: None\n constraints:\n - The output must be valid JSON.\n - The `prompt` field must contain a **single-line JSON string** that follows the exact structure of {{ $json.json_master }} with all fields preserved.\n - The `hashtags` field must contain array of 8-10 tags.\n - The `caption` field should contain a short, descriptive and unique title (max 15 words).\n - The `title` field should contain a short title.\n - Do not include any explanations, markdown, or extra text \u00e2\u0080\u0094 only the JSON object.\n - Escape all inner quotes in the `prompt` string so it is valid as a stringified JSON inside another JSON.\n tool_usage:\n - Ensure consistent alignment across all fields (camera, lighting, motion, etc.).\n - Maintain full structure even for optional fields (use \"none\", \"\", or [] as needed).\n\n N - Notation:\n format: JSON\n expected_output:\n {\n \"prompt\": \"{...stringified JSON of the full prompt...}\",\n \"caption\": \"A unique short descriptive\",\n \"title\": \"A unique short title\",\n \"hashtags\": \"tags\"\n }\n\n Return JSON with: prompt (150-200 word cinematic Veo 3.1 description), caption (50-100 word social media text with emojis), hashtags (array of 8-10 tags)"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2
},
{
"id": "508e2f17-37eb-455d-b69a-19e773705e75",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"disabled": true,
"position": [
720,
544
],
"parameters": {
"color": 7,
"width": 1852,
"height": 428,
"content": "# \u00f0\u009f\u0093\u0091 STEP 2 \u00e2\u0080\u0094 Generate Video with VEO3.1"
},
"typeVersion": 1
},
{
"id": "3d5fe2a9-6fee-4f29-a7b0-ff1628d1d96a",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
96
],
"parameters": {
"color": 7,
"width": 1856,
"height": 432,
"content": "# \u00f0\u009f\u0093\u0091 STEP 1 \u00e2\u0080\u0094 Create Image with NanoBanana 2 PRO\n"
},
"typeVersion": 1
},
{
"id": "3028553a-e742-49fd-b68c-6f5a9c6e0f9e",
"name": "Set: Bot Token (Placeholder)",
"type": "n8n-nodes-base.set",
"position": [
992,
192
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "af62651a-3fc8-419d-908b-6514f6f4bcb3",
"name": "YOUR_BOT_TOKEN",
"type": "string",
"value": "YOUR_BOT_TOKEN"
},
{
"id": "588b2c82-50af-41f1-bce2-0f7e627162b0",
"name": "fal_api_key",
"type": "string",
"value": "YOUR_fal_api_key"
},
{
"id": "bdb28513-38da-4a61-bffd-aa0f8a165579",
"name": "CAPTION",
"type": "string",
"value": "={{ $('Telegram Trigger: Receive Video Idea').item.json.message.caption }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "ac849dab-7a31-4eed-82c6-210f312c53d0",
"name": "Telegram API: Get File URL",
"type": "n8n-nodes-base.httpRequest",
"position": [
1216,
192
],
"parameters": {
"url": "=https://api.telegram.org/bot{{ $json.YOUR_BOT_TOKEN }}/getFile?file_id={{ $('Telegram Trigger: Receive Video Idea').item.json.message.photo[ $('Telegram Trigger: Receive Video Idea').item.json.message.photo.length - 1].file_id }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "0fb7dee2-9d26-4488-b123-a68d374da7e2",
"name": "OpenAI Vision: Analyze Reference Image",
"type": "@n8n/n8n-nodes-langchain.openAi",
"position": [
1424,
192
],
"parameters": {
"text": "=You are an image analysis assistant.\n\nYour task is to analyze the given image and output results **only in YAML format**. Do not add explanations, comments, or extra text outside YAML.\n\nRules:\n\n- If the image depicts a **product**, return:\n \n ```yaml\n brand_name: (brand if visible or inferable)\n color_scheme:\n - hex: (hex code of each prominent color)\n name: (descriptive name of the color)\n font_style: (serif/sans-serif, bold/thin, etc.)\n visual_description: (1\u00e2\u0080\u00932 sentences summarizing what is seen, ignoring the background)\n \n ```\n \n- If the image depicts a **character**, return:\n \n ```yaml\n character_name: (name if visible or inferable, else \"unknown\")\n color_scheme:\n - hex: (hex code of each prominent color on the character)\n name: (descriptive name of the color)\n outfit_style: (clothing style, accessories, or notable features)\n visual_description: (1\u00e2\u0080\u00932 sentences summarizing what the character looks like, ignoring the background)\n \n ```\n \n- If the image depicts **both**, return **both sections** in YAML.\n\nOnly output valid YAML. No explanations.",
"modelId": {
"__rl": true,
"mode": "list",
"value": "chatgpt-4o-latest",
"cachedResultName": "CHATGPT-4O-LATEST"
},
"options": {},
"resource": "image",
"imageUrls": "=https://api.telegram.org/file/bot{{ $('Set: Bot Token (Placeholder)').first().json.YOUR_BOT_TOKEN }}/{{ $json.result.file_path }}",
"operation": "analyze"
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.8
},
{
"id": "b197982b-4a3d-4a9a-9a04-06ad04f8ef9b",
"name": "LLM: Structured Output Parser",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1824,
384
],
"parameters": {
"jsonSchemaExample": "{\n\t\"image_prompt\": \"string\"\n}"
},
"typeVersion": 1.3
},
{
"id": "03caf7c5-c03e-4ef7-b104-e7e5a23d0e02",
"name": "LLM: OpenAI Chat",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1600,
384
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4.1-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "eaa418ce-bbcd-42d0-ac2a-f7dcda99fdb1",
"name": "Generate Image Prompt",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1648,
192
],
"parameters": {
"text": "=Your task is to create an image prompt following the system guidelines. \nEnsure that the reference image is represented as **accurately as possible**, including all text elements. \n\nUse the following inputs: \n\n- **User\u00e2\u0080\u0099s description:** \n{{ $('Set: Bot Token (Placeholder)').first().json.CAPTION }}\n\n- **Reference image description:** \n{{ $json.content }}\n",
"options": {
"systemMessage": "=ROLE: UGC Image Prompt Builder \n\nGOAL: \nGenerate one concise, natural, and realistic image prompt (\u00e2\u0089\u00a4120 words) from a given product or reference image. The prompt must simulate authentic UGC (user-generated content) photography. \n\nRULES: \n- Always output **one JSON object only** with the key: \n - `image_prompt`: (string with full description) \n- Do **not** add commentary, metadata, or extra keys. JSON only. \n\nSTYLE GUIDELINES: \n- Tone: casual, unstaged, lifelike, handheld snapshot. \n- Camera cues: include at least 2\u00e2\u0080\u00933 (e.g., phone snapshot, handheld framing, off-center composition, natural indoor light, soft shadows, slight motion blur, auto exposure, unpolished look, mild grain). \n- Realism: embrace imperfections (wrinkles, stray hairs, skin texture, clutter, smudges). \n- Packaging/Text: preserve exactly as visible. Never invent claims, numbers, or badges. \n- Diversity: if people appear but are unspecified, vary gender/ethnicity naturally; default age range = 21\u00e2\u0080\u009338. \n- Setting: default to real-world everyday spaces (home, street, store, gym, office). \n\nSAFETY: \n- No copyrighted character names. \n- No dialogue or scripts. Only describe scenes. \n\nOUTPUT CONTRACT: \n- JSON only, no prose outside. \n- Max 120 words in `image_prompt`. \n- Must cover: subject, action, mood, setting, style/camera, colors, and text accuracy. \n\nCHECKLIST BEFORE OUTPUT: \n- Natural handheld tone? \n- At least 2 camera cues included? \n- Product text preserved exactly? \n- Only JSON returned? \n\n--- \n\n### Example \n\nGood Example : \n```json\n{ \"image_prompt\": \"a young adult casually holding a skincare tube near a bathroom mirror; action: dabs small amount on the back of the hand; mood: easy morning; setting: small apartment bathroom with towel on rack and toothbrush cup; style/camera: phone snapshot, handheld framing, off-center composition, natural window light, slight motion blur, mild grain; colors: soft whites and mint label; text accuracy: keep every word on the tube exactly as visible, no added claims\" }\n"
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 2.2
},
{
"id": "04938906-9aa0-49cb-8073-52030f2c7f91",
"name": "NanoBanana: Create Image",
"type": "n8n-nodes-base.httpRequest",
"position": [
1984,
192
],
"parameters": {
"url": "https://queue.fal.run/fal-ai/nano-banana-pro/edit",
"method": "POST",
"options": {
"response": {
"response": {
"responseFormat": "json"
}
}
},
"jsonBody": "={\n \"prompt\": \"{{ $json.output.image_prompt.replace(/\\\"/g, '\\\\\\\"').replace(/\\n/g, '\\\\n') }}\",\n \"image_urls\": [\n \"https://api.telegram.org/file/bot{{ $('Set: Bot Token (Placeholder)').first().json.YOUR_BOT_TOKEN }}/{{ $('Telegram API: Get File URL').first().json.result.file_path }}\"\n ],\n \"resolution\": \"1K\",\n \"aspect_ratio\": \"9:16\",\n \"output_format\": \"png\"\n}\n",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
},
{
"name": "Authorization",
"value": "={{ 'Key ' + $('Set: Bot Token (Placeholder)').first().json.fal_api_key }}"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "526eedfe-fbbd-4aff-bba1-9fbb990a74e4",
"name": "Wait for Image Edit",
"type": "n8n-nodes-base.wait",
"position": [
2192,
192
],
"parameters": {
"amount": 2
},
"typeVersion": 1.1
},
{
"id": "51985580-f325-49d3-bfff-83b0de4db6ca",
"name": "Download Edited Image",
"type": "n8n-nodes-base.httpRequest",
"position": [
2400,
192
],
"parameters": {
"url": "={{ $json.response_url }}",
"options": {}
},
"typeVersion": 4.2
},
{
"id": "4534025f-dd17-4225-aaa6-b0343dca4864",
"name": "Parse GPT Response",
"type": "n8n-nodes-base.code",
"position": [
1360,
640
],
"parameters": {
"jsCode": "// Parse responses into { title, prompt, caption, hashtags[], hashtags_string }\nreturn $input.all().map(item => {\n const data = item.json || {};\n\n let title = \"\";\n let prompt = \"\";\n let caption = \"\";\n let hashtagsArr = [];\n\n // 1) NOUVEAU FORMAT : { output: { title, prompt, caption, hashtags } }\n if (data.output) {\n const o = data.output || {};\n title = o.title ?? \"\";\n prompt = o.prompt ?? \"\";\n caption = o.caption ?? \"\";\n\n const rawHashtags = o.hashtags ?? [];\n if (Array.isArray(rawHashtags)) {\n hashtagsArr = rawHashtags;\n } else if (typeof rawHashtags === \"string\") {\n try {\n const parsedTags = JSON.parse(rawHashtags);\n if (Array.isArray(parsedTags)) {\n hashtagsArr = parsedTags;\n } else {\n hashtagsArr = rawHashtags.split(/[,\\s]+/).filter(Boolean);\n }\n } catch {\n hashtagsArr = rawHashtags.split(/[,\\s]+/).filter(Boolean);\n }\n }\n }\n\n // 2) ANCIEN FORMAT OpenAI (fallback)\n if (!title && !prompt && !caption && hashtagsArr.length === 0) {\n let content =\n data?.choices?.[0]?.message?.content ??\n data?.message?.content ??\n data?.content ??\n null;\n\n if (content && typeof content === \"object\") {\n title = content.title ?? \"\";\n prompt = content.prompt ?? \"\";\n caption = content.caption ?? \"\";\n\n if (Array.isArray(content.hashtags)) {\n hashtagsArr = content.hashtags;\n } else if (typeof content.hashtags === \"string\") {\n hashtagsArr = content.hashtags.split(/[,\\s]+/).filter(Boolean);\n }\n }\n else if (typeof content === \"string\" && content.trim()) {\n try {\n const parsed = JSON.parse(content);\n title = parsed.title ?? \"\";\n prompt = parsed.prompt ?? \"\";\n caption = parsed.caption ?? \"\";\n\n if (Array.isArray(parsed.hashtags)) {\n hashtagsArr = parsed.hashtags;\n } else if (typeof parsed.hashtags === \"string\") {\n hashtagsArr = parsed.hashtags.split(/[,\\s]+/).filter(Boolean);\n }\n } catch {\n title = \"\";\n prompt = \"\";\n caption = \"\";\n hashtagsArr = [];\n }\n }\n }\n\n // 3) Normalisation des hashtags\n const norm = Array.from(\n new Set(\n (hashtagsArr || [])\n .map(h => (h ?? \"\").toString().trim())\n .filter(Boolean)\n .map(h => (h.startsWith(\"#\") ? h : `#${h}`))\n )\n );\n\n const hashtags_string = norm.join(\" \");\n\n return {\n json: {\n title,\n prompt,\n caption,\n hashtags: norm,\n hashtags_string\n }\n };\n});\n"
},
"typeVersion": 2
},
{
"id": "1a6f333e-8aa0-4285-bdfb-64b7ca0b6267",
"name": "Optimize Prompt for Veo",
"type": "n8n-nodes-base.set",
"position": [
1568,
640
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "id-1",
"name": "veo_prompt",
"type": "string",
"value": "={{ $json.prompt }} consistent character throughout, photorealistic quality, professional cinematography, 8 seconds duration, 9:16 aspect ratio, 24fps"
}
]
},
"includeOtherFields": true
},
"typeVersion": 3.4
},
{
"id": "cfc41241-f73d-4bfc-aa3a-e7d65281bf82",
"name": "Download Video",
"type": "n8n-nodes-base.httpRequest",
"position": [
2400,
640
],
"parameters": {
"url": "={{ $json.video.url }}",
"options": {
"response": {
"response": {
"responseFormat": "file"
}
}
}
},
"typeVersion": 4.2
},
{
"id": "ae4420cd-7088-45a8-942d-c7b96455e685",
"name": "Prepare Veo Request Body",
"type": "n8n-nodes-base.code",
"position": [
1776,
640
],
"parameters": {
"jsCode": "const prompt = $input.item.json.veo_prompt || $input.item.json.prompt;\n\n// Nouvelle source d'image : sortie de \"Download Edited Image\"\nconst imageUrl = $('Download Edited Image').first().json.images[0].url;\n\nif (!prompt || prompt.length < 10) {\n throw new Error('Prompt required');\n}\n\nif (!imageUrl || typeof imageUrl !== 'string' || !imageUrl.startsWith('http')) {\n throw new Error('A valid image URL from Download Edited Image is required');\n}\n\n// VEO attend un tableau d'URLs, m\u00c3\u00aame si on n'en a qu'une\nconst imageUrls = [imageUrl];\n\nreturn {\n json: {\n veo_request_body: {\n prompt: prompt,\n image_urls: imageUrls,\n duration: 8,\n aspect_ratio: \"9:16\"\n },\n ...($input.item.json)\n }\n};\n"
},
"typeVersion": 2
},
{
"id": "50dedf01-6b48-464b-ab9f-3608e499f3cc",
"name": "Veo Generation",
"type": "n8n-nodes-base.httpRequest",
"position": [
1984,
640
],
"parameters": {
"url": "https://fal.run/fal-ai/veo3.1/reference-to-video",
"method": "POST",
"options": {
"timeout": 600000,
"response": {
"response": {
"responseFormat": "json"
}
}
},
"jsonBody": "={{ JSON.stringify($json.veo_request_body) }}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"headerParameters": {
"parameters": [
{
"name": "Authorization",
"value": "={{ 'Key ' + $('Set: Bot Token (Placeholder)').first().json.fal_api_key }}"
},
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"typeVersion": 4.2
},
{
"id": "c135569a-c630-4b25-8f6e-2f42b00fb58e",
"name": "Wait",
"type": "n8n-nodes-base.wait",
"position": [
2192,
640
],
"parameters": {
"amount": 2
},
"typeVersion": 1.1
},
{
"id": "2a1bc1b1-57d6-483c-a51c-a97675d463c8",
"name": "Send Video to Telegram",
"type": "n8n-nodes-base.telegram",
"position": [
800,
1152
],
"parameters": {
"chatId": "={{ $('Telegram Trigger: Receive Video Idea').first().json.message.chat.id }}",
"operation": "sendVideo",
"binaryData": true,
"additionalFields": {
"caption": "=Your video is ready! \u00f0\u009f\u008e\u00a5 {{ $json.video.url }}"
}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "6dd2b073-71c5-4d5b-82b2-0383a7e680b7",
"name": "Step 5 - Publishing",
"type": "n8n-nodes-base.stickyNote",
"position": [
720,
992
],
"parameters": {
"color": 5,
"width": 1852,
"height": 404,
"content": "# \u00f0\u009f\u0093\u0091 STEP 3 \u00e2\u0080\u0094 Publish with Blotato"
},
"typeVersion": 1
},
{
"id": "a984be16-6697-4cfc-bb1c-a8f7463be5a1",
"name": "Upload Video to BLOTATO",
"type": "@blotato/n8n-nodes-blotato.blotato",
"position": [
1136,
1152
],
"parameters": {
"mediaUrl": "={{ $('Download Video').item.json.video.url }}",
"resource": "media"
},
"credentials": {
"blotatoApi": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "c3b8258b-5ee7-47fa-9d7e-4e3c59928f9e",
"name": "Youtube",
"type": "@blotato/n8n-nodes-blotato.blotato",
"position": [
1872,
1216
],
"parameters": {
"options": {},
"platform": "youtube",
"accountId": {
"__rl": true,
"mode": "list",
"value": "8047",
"cachedResultUrl": "https://backend.blotato.com/v2/accounts/8047",
"cachedResultName": "DR FIRASS (Dr. Firas)"
},
"postContentText": "={{ $('Parse GPT Response').first().json.caption }}",
"postContentMediaUrls": "={{ $json.url }}",
"postCreateYoutubeOptionTitle": "={{ $('Parse GPT Response').first().json.title }}",
"postCreateYoutubeOptionPrivacyStatus": "private",
"postCreateYoutubeOptionShouldNotifySubscribers": false
},
"credentials": {
"blotatoApi": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "981fa66f-f01c-418e-8b02-24865cfb341f",
"name": "Tiktok",
"type": "@blotato/n8n-nodes-blotato.blotato",
"position": [
1552,
1056
],
"parameters": {
"options": {},
"platform": "tiktok",
"accountId": {
"__rl": true,
"mode": "list",
"value": "2079",
"cachedResultUrl": "https://backend.blotato.com/v2/accounts/2079",
"cachedResultName": "elitecybzcs"
},
"postContentText": "={{ $('Parse GPT Response').first().json.caption }}",
"postContentMediaUrls": "={{ $json.url }}"
},
"credentials": {
"blotatoApi": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "fa93e28f-6e93-479f-95f3-8d949090fc1c",
"name": "Linkedin",
"type": "@blotato/n8n-nodes-blotato.blotato",
"position": [
1712,
1056
],
"parameters": {
"options": {},
"platform": "linkedin",
"accountId": {
"__rl": true,
"mode": "list",
"value": "1446",
"cachedResultUrl": "https://backend.blotato.com/v2/accounts/1446",
"cachedResultName": "Samuel Amalric"
},
"postContentText": "={{ $('Parse GPT Response').first().json.caption }}",
"postContentMediaUrls": "={{ $json.url }}"
},
"credentials": {
"blotatoApi": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "77026e85-e28f-44ff-9ad1-2191565bd8a4",
"name": "Facebook",
"type": "@blotato/n8n-nodes-blotato.blotato",
"position": [
1872,
1056
],
"parameters": {
"options": {},
"platform": "facebook",
"accountId": {
"__rl": true,
"mode": "list",
"value": "1759",
"cachedResultUrl": "https://backend.blotato.com/v2/accounts/1759",
"cachedResultName": "Firass Ben"
},
"facebookPageId": {
"__rl": true,
"mode": "list",
"value": "101603614680195",
"cachedResultUrl": "https://backend.blotato.com/v2/accounts/1759/subaccounts/101603614680195",
"cachedResultName": "Dr. Firas"
},
"postContentText": "={{ $('Parse GPT Response').first().json.caption }}",
"postContentMediaUrls": "={{ $json.url }}"
},
"credentials": {
"blotatoApi": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "87ce0af6-a9e9-47e2-a958-824cb8c52f07",
"name": "Instagram",
"type": "@blotato/n8n-nodes-blotato.blotato",
"position": [
1552,
1216
],
"parameters": {
"options": {},
"accountId": {
"__rl": true,
"mode": "list",
"value": "1687",
"cachedResultUrl": "https://backend.blotato.com/v2/accounts/1687",
"cachedResultName": "acces.a.vie"
},
"postContentText": "={{ $('Parse GPT Response').first().json.caption }}",
"postContentMediaUrls": "={{ $json.url }}"
},
"credentials": {
"blotatoApi": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "2f7980a6-5d3f-4d2b-a565-4c840529d8c1",
"name": "Twitter (X)",
"type": "@blotato/n8n-nodes-blotato.blotato",
"position": [
1712,
1216
],
"parameters": {
"options": {},
"platform": "twitter",
"accountId": {
"__rl": true,
"mode": "list",
"value": "1289",
"cachedResultUrl": "https://backend.blotato.com/v2/accounts/1289",
"cachedResultName": "Docteur_Firas"
},
"postContentText": "={{ $('Parse GPT Response').first().json.caption }}",
"postContentMediaUrls": "={{ $json.url }}"
},
"credentials": {
"blotatoApi": {
"name": "<your credential>"
}
},
"typeVersion": 2
},
{
"id": "eaa3e024-0eef-4a71-ae0b-25fe1cc27a1c",
"name": "Merge1",
"type": "n8n-nodes-base.merge",
"position": [
2144,
1072
],
"parameters": {
"mode": "chooseBranch",
"numberInputs": 6
},
"typeVersion": 3.2
},
{
"id": "4889de2f-81e3-49e2-a921-739aec5be20e",
"name": "Send a text message",
"type": "n8n-nodes-base.telegram",
"position": [
2368,
1136
],
"parameters": {
"text": "Published",
"chatId": "={{ $('Telegram Trigger: Receive Video Idea').first().json.message.chat.id }}",
"additionalFields": {}
},
"credentials": {
"telegramApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "3e6b4da3-2e64-49f4-8e76-97753b87b81b",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
48,
96
],
"parameters": {
"width": 652,
"height": 1300,
"content": "# \u00f0\u009f\u009a\u0080 AI Viral Video Workflow \u00e2\u0080\u0094 NanoBanana 2 PRO \u00c3\u0097 VEO3.1 \u00c3\u0097 Blotato (By Dr. Firas)\n\n[](https://youtu.be/nlwpbXQqNQ4)\n\n## \u00f0\u009f\u0093\u0098 Documentation \nAccess detailed setup instructions, API config, platform connection guides, and workflow customization tips:\n\n\u00f0\u009f\u0093\u008e [Open the full documentation on Notion](https://automatisation.notion.site/NonoBanan-PRO-2-2b53d6550fd981a5acbecf7cf50aeb3c?source=copy_link)\n\nThis workflow converts a simple Telegram message into a **ready-to-publish AI viral video**, fully automated.\n\n## \u00f0\u009f\u0094\u00a5 What this workflow does\n### 1\u00ef\u00b8\u008f\u00e2\u0083\u00a3 Image Creation (NanoBanana 2 PRO)\n- User sends on Telegram:\n - A reference image \n - A short text idea \n### 2\u00ef\u00b8\u008f\u00e2\u0083\u00a3 Video Generation (VEO3.1)\n- An AI Agent builds a structured video prompt \n- Optimizes it for **VEO3.1** \n- Generates a vertical 9:16 video (8 seconds) \n- Sends the final video to Telegram\n### 3\u00ef\u00b8\u008f\u00e2\u0083\u00a3 Multi-Platform Publishing (Blotato)\n- Uploads the video to Blotato \n- Auto-publishes to\n\n## \u00e2\u009a\u0099\u00ef\u00b8\u008f Requirements\n1. \u00e2\u009c\u0085 **Create a [Blotato](https://blotato.com/?ref=firas) account** (Pro plan required for API access) \n2. \u00f0\u009f\u0094\u0091 **Generate your Blotato API Key** via: `Settings > API > Generate API Key` \n3. \u00f0\u009f\u0093\u00a6 **Enable \u00e2\u0080\u009cVerified Community Nodes\u00e2\u0080\u009d** in the n8n admin settings \n4. \u00f0\u009f\u00a7\u00a9 **Install the Blotato** verified community node in n8n \n5. \u00f0\u009f\u009b\u00a0 **Create a Blotato API credential** inside your n8n credentials tab "
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "6eeaa654-b434-47fa-b135-e915b506d7c7",
"connections": {
"Wait": {
"main": [
[
{
"node": "Download Video",
"type": "main",
"index": 0
}
]
]
},
"Think": {
"ai_tool": [
[
{
"node": "AI Agent: Generate Video Script",
"type": "ai_tool",
"index": 0
}
]
]
},
"Merge1": {
"main": [
[
{
"node": "Send a text message",
"type": "main",
"index": 0
}
]
]
},
"Tiktok": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 0
}
]
]
},
"Youtube": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 5
}
]
]
},
"Facebook": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 2
}
]
]
},
"Linkedin": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 1
}
]
]
},
"Instagram": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 3
}
]
]
},
"Twitter (X)": {
"main": [
[
{
"node": "Merge1",
"type": "main",
"index": 4
}
]
]
},
"Download Video": {
"main": [
[
{
"node": "Send Video to Telegram",
"type": "main",
"index": 0
}
]
]
},
"Veo Generation": {
"main": [
[
{
"node": "Wait",
"type": "main",
"index": 0
}
]
]
},
"LLM: OpenAI Chat": {
"ai_languageModel": [
[
{
"node": "Generate Image Prompt",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent: Generate Video Script",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Set Master Prompt": {
"main": [
[
{
"node": "AI Agent: Generate Video Script",
"type": "main",
"index": 0
}
]
]
},
"Parse GPT Response": {
"main": [
[
{
"node": "Optimize Prompt for Veo",
"type": "main",
"index": 0
}
]
]
},
"Wait for Image Edit": {
"main": [
[
{
"node": "Download Edited Image",
"type": "main",
"index": 0
}
]
]
},
"Download Edited Image": {
"main": [
[
{
"node": "Set Master Prompt",
"type": "main",
"index": 0
}
]
]
},
"Generate Image Prompt": {
"main": [
[
{
"node": "NanoBanana: Create Image",
"type": "main",
"index": 0
}
]
]
},
"Send Video to Telegram": {
"main": [
[
{
"node": "Upload Video to BLOTATO",
"type": "main",
"index": 0
}
]
]
},
"Optimize Prompt for Veo": {
"main": [
[
{
"node": "Prepare Veo Request Body",
"type": "main",
"index": 0
}
]
]
},
"Upload Video to BLOTATO": {
"main": [
[
{
"node": "Tiktok",
"type": "main",
"index": 0
},
{
"node": "Linkedin",
"type": "main",
"index": 0
},
{
"node": "Facebook",
"type": "main",
"index": 0
},
{
"node": "Instagram",
"type": "main",
"index": 0
},
{
"node": "Twitter (X)",
"type": "main",
"index": 0
},
{
"node": "Youtube",
"type": "main",
"index": 0
}
]
]
},
"NanoBanana: Create Image": {
"main": [
[
{
"node": "Wait for Image Edit",
"type": "main",
"index": 0
}
]
]
},
"Prepare Veo Request Body": {
"main": [
[
{
"node": "Veo Generation",
"type": "main",
"index": 0
}
]
]
},
"Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "AI Agent: Generate Video Script",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"Telegram API: Get File URL": {
"main": [
[
{
"node": "OpenAI Vision: Analyze Reference Image",
"type": "main",
"index": 0
}
]
]
},
"Set: Bot Token (Placeholder)": {
"main": [
[
{
"node": "Telegram API: Get File URL",
"type": "main",
"index": 0
}
]
]
},
"LLM: Structured Output Parser": {
"ai_outputParser": [
[
{
"node": "Generate Image Prompt",
"type": "ai_outputParser",
"index": 0
}
]
]
},
"AI Agent: Generate Video Script": {
"main": [
[
{
"node": "Parse GPT Response",
"type": "main",
"index": 0
}
]
]
},
"Telegram Trigger: Receive Video Idea": {
"main": [
[
{
"node": "Set: Bot Token (Placeholder)",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Vision: Analyze Reference Image": {
"main": [
[
{
"node": "Generate Image Prompt",
"type": "main",
"index": 0
}
]
]
}
}
}
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.
blotatoApiopenAiApitelegramApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
ð¥ Create AI Viral Videos using NanoBanana 2 PRO & VEO3.1 and Publish via Blotato -vide. Uses lmChatOpenAi, toolThink, outputParserStructured, telegramTrigger. Event-driven trigger; 35 nodes.
Source: https://github.com/murtazabaig/create-ai-viral-videos-using-nanobanana-pro-veo-and-publish-via-blotato/blob/eb0a4cdb22f7f778e856cd83fc5b9d3404560c99/workflow.json — original creator credit. Request a take-down →
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