{ "name": "AI Viral Video — NanoBanana × VEO 3.1 × Buffer", "nodes": [ { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "id": "b1045d28-3ceb-4ba7-8469-c2a02fc6237f", "name": "OpenAI Chat Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [-800, 400], "typeVersion": 1.2, "credentials": { "openAiApi": { "id": "PLEASE_LINK_AFTER_IMPORT", "name": "OpenAI API" } } }, { "parameters": {}, "id": "5030ce64-22ce-4513-b50a-fe9ef967264a", "name": "Think", "type": "@n8n/n8n-nodes-langchain.toolThink", "position": [-656, 400], "typeVersion": 1 }, { "parameters": { "jsonSchemaExample": "{\n \"prompt\": \"string\",\n \"caption\": \"string\",\n \"title\": \"string\",\n \"hashtags\": \"string\"\n}" }, "id": "58bbd8b3-cbf5-444b-8e25-9c12578f5046", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [-528, 400], "typeVersion": 1.3 }, { "parameters": { "updates": ["message"], "additionalFields": {} }, "id": "39833f2b-c516-46d5-85f3-f6f0bdb0ee26", "name": "Telegram Trigger: Receive Video Idea", "type": "n8n-nodes-base.telegramTrigger", "position": [-944, -240], "webhookId": "REPLACE_WITH_TELEGRAM_WEBHOOK_ID", "typeVersion": 1.2, "credentials": { "telegramApi": { "id": "PLEASE_LINK_AFTER_IMPORT", "name": "Telegram API" } } }, { "parameters": { "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 — physical description, outfit\",\n \"pose\": \"optional — position or gesture\",\n \"lip_sync_line\": \"optional — spoken line if there's 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 — describe style (neon trails, motion blur...)\",\n \"impact\": \"optional — e.g. shockwave, glow, distortion\",\n \"particles\": \"optional — embers, sparks, thread strands...\",\n \"environment\": \"optional — VFX affecting the scene (ripples, wind...)\"\n },\n \"audio\": {\n \"music\": \"optional — cinematic score, trap beat, ambient tone\",\n \"sfx\": [\n \"list of sound effects (zip, pop, woosh...)\"\n ],\n \"ambience\": \"optional — 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 — 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" } ] }, "options": {} }, "id": "1694617c-8bf2-4fb9-b8be-de5252fbbc32", "name": "Set Master Prompt", "type": "n8n-nodes-base.set", "position": [-928, 208], "typeVersion": 3.4 }, { "parameters": { "promptType": "define", "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's 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", "hasOutputParser": true, "options": { "systemMessage": "=Return EXACTLY this JSON (no wrapper, no markdown, no prose):\n{\n \"prompt\": \"\",\n \"caption\": \"\",\n \"title\": \"<3-8 word title>\",\n \"hashtags\": \"<5-10 hashtags as space-separated string>\"\n}" } }, "id": "e41cce75-274f-4af2-bd03-abcbc84d1eed", "name": "AI Agent: Generate Video Script", "type": "@n8n/n8n-nodes-langchain.agent", "position": [-720, 208], "typeVersion": 2, "retryOnFail": true }, { "parameters": { "content": "# 🎬 STEP 2 — Generate Video with VEO 3.1", "height": 428, "width": 2588, "color": 7 }, "id": "1bf04d8a-87ba-4c3e-9172-760b45f89708", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [-1008, 112], "typeVersion": 1, "disabled": true }, { "parameters": { "content": "# 🖼️ STEP 1 — Create Image with NanoBanana\n", "height": 432, "width": 2592, "color": 7 }, "id": "1ad9279e-1939-4b4f-86c3-2f9ba4ebfc00", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [-1008, -336], "typeVersion": 1 }, { "parameters": { "assignments": { "assignments": [ { "id": "af62651a-3fc8-419d-908b-6514f6f4bcb3", "name": "YOUR_BOT_TOKEN", "type": "string", "value": "REPLACE_WITH_TELEGRAM_BOT_TOKEN" }, { "id": "588b2c82-50af-41f1-bce2-0f7e627162b0", "name": "fal_api_key", "type": "string", "value": "REPLACE_WITH_FAL_API_KEY" }, { "id": "bdb28513-38da-4a61-bffd-aa0f8a165579", "name": "CAPTION", "type": "string", "value": "={{ $('Telegram Trigger: Receive Video Idea').item.json.message.caption }}" }, { "id": "c513ab7e-1d83-4cb7-9f83-562538f3cec1", "name": "gemini_api_key", "value": "REPLACE_WITH_GEMINI_API_KEY", "type": "string" }, { "id": "a78d95b0-6719-4f4c-8291-20150d8321e1", "name": "buffer_access_token", "value": "REPLACE_WITH_BUFFER_ACCESS_TOKEN", "type": "string" }, { "id": "8e6c2c81-6d6d-4cbf-a46a-109410a0d581", "name": "buffer_channel_id_x", "value": "REPLACE_WITH_BUFFER_CHANNEL_ID_X", "type": "string" }, { "id": "b83110d2-0f62-4a48-a070-fec0733cb785", "name": "buffer_organization_id", "value": "REPLACE_WITH_BUFFER_ORGANIZATION_ID", "type": "string" } ] }, "options": {} }, "id": "d4dfac4f-1197-4bbe-b283-5986fbc69eec", "name": "Set: Bot Token (Placeholder)", "type": "n8n-nodes-base.set", "position": [-736, -240], "typeVersion": 3.4 }, { "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": {} }, "id": "22a36d46-6348-415f-8272-36dc0d9dc865", "name": "Telegram API: Get File URL", "type": "n8n-nodes-base.httpRequest", "position": [-512, -240], "typeVersion": 4.2 }, { "parameters": { "resource": "image", "operation": "analyze", "modelId": { "__rl": true, "value": "gpt-4o", "mode": "list", "cachedResultName": "GPT-4O" }, "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: (1-2 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: (1-2 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.", "imageUrls": "=https://api.telegram.org/file/bot{{ $('Set: Bot Token (Placeholder)').first().json.YOUR_BOT_TOKEN }}/{{ $json.result.file_path }}", "options": {} }, "id": "c04c3b85-d0f5-4cd1-8e52-2b61baad10bc", "name": "OpenAI Vision: Analyze Reference Image", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [-304, -240], "typeVersion": 1.8, "credentials": { "openAiApi": { "id": "PLEASE_LINK_AFTER_IMPORT", "name": "OpenAI API" } } }, { "parameters": { "jsonSchemaExample": "{\n\t\"image_prompt\": \"string\"\n}" }, "id": "74ccc059-732b-4cb0-983d-d481703a1eb4", "name": "LLM: Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [96, -48], "typeVersion": 1.3 }, { "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4.1-mini" }, "options": {} }, "id": "f54678de-f086-43b0-8a2c-fca40de07eb0", "name": "LLM: OpenAI Chat", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [-128, -48], "typeVersion": 1.2, "credentials": { "openAiApi": { "id": "PLEASE_LINK_AFTER_IMPORT", "name": "OpenAI API" } } }, { "parameters": { "promptType": "define", "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's description:**\n{{ $('Set: Bot Token (Placeholder)').first().json.CAPTION }}\n\n- **Reference image description:**\n{{ $json.content }}\n", "hasOutputParser": true, "options": { "systemMessage": "=ROLE: UGC Image Prompt Builder\n\nGOAL:\nGenerate one concise, natural, and realistic image prompt (≤120 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 2-3 (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 = 21-38.\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" } }, "id": "96e50464-6334-4307-8183-8bc22d3c5dfc", "name": "Generate Image Prompt", "type": "@n8n/n8n-nodes-langchain.agent", "position": [-80, -240], "typeVersion": 2.2 }, { "parameters": { "amount": 2 }, "id": "0ced96a8-89ae-43bd-b9f2-53b67d102359", "name": "Wait for Image Edit", "type": "n8n-nodes-base.wait", "position": [464, -240], "webhookId": "REPLACE_WITH_WAIT_WEBHOOK_ID", "typeVersion": 1.1 }, { "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) NEW 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) OLD OpenAI FORMAT (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) Normalise 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" }, "id": "bbc5cd3f-7ac4-4382-90c5-2f5e14c72f2a", "name": "Parse GPT Response", "type": "n8n-nodes-base.code", "position": [-368, 208], "typeVersion": 2 }, { "parameters": { "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, "options": {} }, "id": "b439f54c-821e-4fba-8b5a-02e1babe5d0f", "name": "Optimize Prompt for Veo", "type": "n8n-nodes-base.set", "position": [-160, 208], "typeVersion": 3.4 }, { "parameters": { "url": "={{ \n $('Check Veo Status').first().json.response?.generateVideoResponse?.generatedSamples?.[0]?.video?.uri \n ? $('Check Veo Status').first().json.response.generateVideoResponse.generatedSamples[0].video.uri + '&key=' + $('Set: Bot Token (Placeholder)').first().json.gemini_api_key\n : (() => { throw new Error('Video blocked by safety filter: ' + JSON.stringify($('Check Veo Status').first().json.response?.generateVideoResponse?.raiMediaFilteredReasons || 'unknown reason')) })()\n}}", "options": { "response": { "response": { "responseFormat": "file" } } } }, "id": "04b92d18-6f12-481c-aeb1-260f079c140e", "name": "Download Video", "type": "n8n-nodes-base.httpRequest", "position": [1120, 208], "typeVersion": 4.2 }, { "parameters": { "jsCode": "// Get the optimized prompt from the previous node\nconst prompt = $input.first().json.veo_prompt || $input.first().json.prompt;\n\n// Validate\nif (!prompt || typeof prompt !== 'string' || prompt.length < 10) {\n throw new Error('Valid prompt required (min 10 characters)');\n}\n\n// Strip any audio-related language that might trigger RAI filters\n// (optional defensive cleanup - comment out if your upstream prompt is already clean)\nconst cleanPrompt = prompt\n .replace(/\\b(music|soundtrack|audio|voiceover|dialogue|speaking|singing|song|sfx|sound effect)s?\\b/gi, '')\n .replace(/\\s+/g, ' ')\n .trim();\n\nreturn {\n json: {\n veo_request_body: {\n prompt: cleanPrompt,\n duration: 8,\n aspect_ratio: \"9:16\"\n }\n }\n};" }, "id": "fb88f1ff-790a-4e71-835b-5b84d7da1224", "name": "Prepare Veo Request Body", "type": "n8n-nodes-base.code", "position": [48, 208], "typeVersion": 2 }, { "parameters": { "amount": 15 }, "id": "b651be44-f303-48b4-8274-5a2c39eeaf98", "name": "Wait", "type": "n8n-nodes-base.wait", "position": [464, 208], "webhookId": "REPLACE_WITH_WAIT_WEBHOOK_ID_2", "typeVersion": 1.1 }, { "parameters": { "content": "# 🚀 STEP 3 — Publish with Buffer", "height": 404, "width": 2572, "color": 5 }, "id": "f388dd93-2b21-43c2-b641-6b486cdfede3", "name": "Step 5 - Publishing", "type": "n8n-nodes-base.stickyNote", "position": [-1008, 560], "typeVersion": 1 }, { "parameters": { "method": "POST", "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.5-flash-image:generateContent", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "x-goog-api-key", "value": "={{ $('Set: Bot Token (Placeholder)').first().json.gemini_api_key }}" }, { "name": "Content-Type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={\n \"contents\": [{\n \"parts\": [\n { \"text\": {{ JSON.stringify($('Generate Image Prompt').item.json.output.image_prompt) }} }\n ]\n }],\n \"generationConfig\": {\n \"responseModalities\": [\"IMAGE\"]\n }\n}", "options": { "response": { "response": { "responseFormat": "json" } } } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [256, -240], "id": "f453ce90-f27d-4ff4-9453-f08423a78a45", "name": "NanoBanana image generator" }, { "parameters": { "jsCode": "const part = $input.first().json.candidates[0].content.parts\n .find(p => p.inlineData || p.inline_data);\n\nconst inline = part.inlineData || part.inline_data;\n\nreturn {\n json: {\n mimeType: inline.mimeType || inline.mime_type\n },\n binary: {\n data: {\n data: inline.data,\n mimeType: inline.mimeType || inline.mime_type || \"image/png\",\n fileName: \"nanobanana-output.png\"\n }\n }\n};" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [672, -240], "id": "80c068b8-c07e-4b8a-ab34-0d1c383244a9", "name": "Download Edited Image" }, { "parameters": { "url": "=https://api.telegram.org/bot{{ $('Set: Bot Token (Placeholder)').first().json.YOUR_BOT_TOKEN }}/getFile?file_id={{ $('Send Photo to Telegram').first().json.result.photo.at(-1).file_id }}\n", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [1104, -240], "id": "bb16ca36-a339-4b8b-af05-b764503a5fe5", "name": "Get Telegram File URL" }, { "parameters": { "operation": "sendPhoto", "chatId": "={{ $('Telegram Trigger: Receive Video Idea').first().json.message.chat.id }}", "binaryData": true, "additionalFields": {} }, "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [896, -240], "id": "44a31b9f-a07d-4ff2-a006-19336622f81e", "name": "Send Photo to Telegram", "webhookId": "REPLACE_WITH_SEND_PHOTO_WEBHOOK_ID", "credentials": { "telegramApi": { "id": "PLEASE_LINK_AFTER_IMPORT", "name": "Telegram API" } } }, { "parameters": { "url": "=https://generativelanguage.googleapis.com/v1beta/{{ $('Veo Generation').first().json.name }}", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "x-goog-api-key", "value": "={{ $('Set: Bot Token (Placeholder)').first().json.gemini_api_key }}" } ] }, "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [688, 208], "id": "dc1bb510-1f4e-431f-bd0c-82742da34115", "name": "Check Veo Status" }, { "parameters": { "method": "POST", "url": "https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-fast-generate-preview:predictLongRunning", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Content-Type", "value": "application/json" }, { "name": "x-goog-api-key", "value": "={{ $('Set: Bot Token (Placeholder)').first().json.gemini_api_key }}" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify({\n instances: [{\n prompt: $('Prepare Veo Request Body').first().json.veo_request_body.prompt,\n image: {\n bytesBase64Encoded: $('Download Edited Image').first().binary.data.data,\n mimeType: \"image/png\"\n }\n }],\n parameters: {\n aspectRatio: \"9:16\",\n durationSeconds: 8,\n personGeneration: \"allow_adult\"\n }\n}) }}", "options": { "response": { "response": { "responseFormat": "json" } }, "timeout": 60000 } }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [256, 208], "id": "938033b5-6295-42f6-a467-77c9cf8f3099", "name": "Veo Generation" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 3 }, "conditions": [ { "id": "3d8927d8-8510-419c-857a-55178d8feb79", "leftValue": "={{ $json.done }}", "rightValue": "", "operator": { "type": "boolean", "operation": "true", "singleValue": true } } ], "combinator": "and" }, "options": {} }, "type": "n8n-nodes-base.if", "typeVersion": 2.3, "position": [896, 208], "id": "b7e7a68a-f884-4e31-9d1d-0a66b3adb88f", "name": "If" }, { "parameters": { "content": "# 🚀 AI Viral Video Workflow — NanoBanana × VEO 3.1 × Buffer\n\nConverts a Telegram message (text + reference image) into a ready-to-publish AI viral video, fully automated.\n\n## 🔥 What this workflow does\n\n### 1️⃣ Image Creation (Gemini 2.5 Flash Image — NanoBanana)\n- User sends a reference image + short text idea on Telegram.\n- OpenAI Vision analyses the reference image.\n- A GPT-4.1-mini agent builds a UGC-style image prompt.\n- Google Gemini 2.5 Flash Image creates the still image.\n\n### 2️⃣ Video Generation (Google Veo 3.1)\n- An AI agent drafts a structured video prompt, caption, title, hashtags.\n- Optimises the prompt for Veo 3.1.\n- Google Veo 3.1 generates a 9:16 video (8s) using the NanoBanana image as reference.\n- Polls the long-running operation until ready.\n- Downloads the finished video and posts it back to Telegram.\n\n### 3️⃣ Multi-Platform Publishing (Buffer)\n- Hosts the video temporarily via Telegram to get a public URL.\n- Publishes to X (Twitter) via Buffer's GraphQL API.\n- Easily extensible to Instagram, TikTok, LinkedIn — just duplicate the Buffer node with a new channelId.\n\n## ⚙️ Requirements\n\n1. Telegram bot — create via @BotFather, copy the token.\n2. Google AI Studio API key with billing enabled (Veo is paid).\n3. OpenAI API key — for GPT-4o vision + script writing.\n4. Buffer API key + channel IDs.\n5. n8n (cloud or self-hosted).\n\n## 🔐 Credentials to paste into the Set node\n\n| Field | Purpose |\n|---|---|\n| YOUR_BOT_TOKEN | Telegram bot token |\n| gemini_api_key | Google Gemini API key (NanoBanana + Veo) |\n| buffer_access_token | Buffer API token |\n| buffer_channel_id_x | Buffer channel ID for X |\n| CAPTION | Auto-populated from the Telegram message |\n\n## 💰 Approximate cost per run\n\n- Gemini NanoBanana image: ~$0.04\n- Veo 3.1 video (8s): ~$3.20 (or ~$1.60 with Veo 3.1 Fast)\n- GPT-4o calls: ~$0.05\n- Buffer + Telegram: free\n- Total: ~$3.30 per video (or ~$1.70 with Fast)\n\n## 💡 Tips\n\n- Avoid prompts that describe music, dialogue, or sound effects — Veo's audio safety filter is aggressive.\n- Telegram file URLs contain your bot token — rotate before sharing any exported workflow.\n- For speed, use veo-3.1-fast-generate-preview: half the cost, 2-3x faster.", "height": 1300, "width": 652 }, "id": "e1bcf2d5-2a24-491b-bb39-a2f8a69f7506", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [-1680, -320], "typeVersion": 1 }, { "parameters": { "url": "=https://api.telegram.org/bot{{ $('Set: Bot Token (Placeholder)').first().json.YOUR_BOT_TOKEN }}/getFile?file_id={{ $('Send Video to Telegram').first().json.result.video.file_id }}", "options": {} }, "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.4, "position": [-800, 720], "id": "138a957b-186b-4587-98c3-0aa39f6a202e", "name": "Get Video File URL" }, { "parameters": { "operation": "sendVideo", "chatId": "={{ $('Telegram Trigger: Receive Video Idea').first().json.message.chat.id }}", "binaryData": true, "additionalFields": { "caption": "Your video is ready! 🎥" } }, "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [1328, 208], "id": "0abe5216-5e99-43d9-b14f-ecd9a6fa8054", "name": "Send Video to Telegram", "webhookId": "REPLACE_WITH_SEND_VIDEO_WEBHOOK_ID", "credentials": { "telegramApi": { "id": "PLEASE_LINK_AFTER_IMPORT", "name": "Telegram API" } } }, { "parameters": { "chatId": "={{ $('Telegram Trigger: Receive Video Idea').first().json.message.chat.id }}", "text": "=✅ Published to X!\n\n🎬 {{ $('Parse GPT Response').first().json.title || 'Untitled' }}\n\n📝 {{ $('Parse GPT Response').first().json.caption || '' }}\n\n🏷️ {{ $('Parse GPT Response').first().json.hashtags_string || '' }}\n\n📌 Status: {{ $('Buffer: Publish Video').first().json.data.createPost.post.status }}\n🔗 View in Buffer: https://publish.buffer.com/channels/{{ $('Set: Bot Token (Placeholder)').first().json.buffer_channel_id_x }}/posts/{{ $('Buffer: Publish Video').first().json.data.createPost.post.id }}", "additionalFields": {} }, "id": "8d1cd464-3fe8-4b23-b282-2761d192a495", "name": "Notify: Post Published", "type": "n8n-nodes-base.telegram", "typeVersion": 1.2, "position": [-368, 720], "webhookId": "REPLACE_WITH_NOTIFY_WEBHOOK_ID", "credentials": { "telegramApi": { "id": "PLEASE_LINK_AFTER_IMPORT", "name": "Telegram API" } }, "notes": "Sends a success notification to the same Telegram chat that triggered the workflow, with a link to the post in the Buffer dashboard." }, { "parameters": { "method": "POST", "url": "https://api.buffer.com/graphql", "sendHeaders": true, "headerParameters": { "parameters": [ { "name": "Authorization", "value": "={{ `Bearer ${$('Set: Bot Token (Placeholder)').first().json.buffer_access_token.trim()}` }}" }, { "name": "Content-Type", "value": "application/json" } ] }, "sendBody": true, "specifyBody": "json", "jsonBody": "={{ JSON.stringify({\n query: `mutation CreatePost($input: CreatePostInput!) {\n createPost(input: $input) {\n __typename\n ... on PostActionSuccess { post { id status } }\n ... on MutationError { message }\n }\n }`,\n variables: {\n input: {\n channelId: $('Set: Bot Token (Placeholder)').first().json.buffer_channel_id_x,\n text: (($('Parse GPT Response').first().json.caption || '') + ' ' + ($('Parse GPT Response').first().json.hashtags_string || '')).trim(),\n mode: \"shareNow\",\n schedulingType: \"automatic\",\n assets: {\n videos: [{\n url: `https://api.telegram.org/file/bot${$('Set: Bot Token (Placeholder)').first().json.YOUR_BOT_TOKEN}/${$('Get Video File URL').first().json.result.file_path}`\n }]\n }\n }\n }\n}) }}", "options": { "response": { "response": { "responseFormat": "json" } } } }, "id": "78bec343-c9e2-4188-bd54-da6529575333", "name": "Buffer: Publish Video", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.2, "position": [-592, 720], "notes": "Publishes via Buffer's GraphQL API at api.buffer.com/graphql with Bearer auth." } ], "pinData": {}, "connections": { "Wait": { "main": [[{ "node": "Check Veo Status", "type": "main", "index": 0 }]] }, "Think": { "ai_tool": [[{ "node": "AI Agent: Generate Video Script","type": "ai_tool", "index": 0 }]] }, "Download Video": { "main": [[{ "node": "Send Video to Telegram", "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 }]] }, "Generate Image Prompt": { "main": [[{ "node": "NanoBanana image generator", "type": "main", "index": 0 }]] }, "Optimize Prompt for Veo": { "main": [[{ "node": "Prepare Veo Request Body", "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 }]] }, "NanoBanana image generator": { "main": [[{ "node": "Wait for Image Edit", "type": "main", "index": 0 }]] }, "Download Edited Image": { "main": [[{ "node": "Send Photo to Telegram", "type": "main", "index": 0 }]] }, "Get Telegram File URL": { "main": [[{ "node": "Set Master Prompt", "type": "main", "index": 0 }]] }, "Send Photo to Telegram": { "main": [[{ "node": "Get Telegram File URL", "type": "main", "index": 0 }]] }, "Veo Generation": { "main": [[{ "node": "Wait", "type": "main", "index": 0 }]] }, "Check Veo Status": { "main": [[{ "node": "If", "type": "main", "index": 0 }]] }, "If": { "main": [ [{ "node": "Download Video", "type": "main", "index": 0 }], [{ "node": "Wait", "type": "main", "index": 0 }] ]}, "Send Video to Telegram": { "main": [[{ "node": "Get Video File URL", "type": "main", "index": 0 }]] }, "Get Video File URL": { "main": [[{ "node": "Buffer: Publish Video", "type": "main", "index": 0 }]] }, "Buffer: Publish Video": { "main": [[{ "node": "Notify: Post Published", "type": "main", "index": 0 }]] } }, "active": false, "settings": { "executionOrder": "v1", "binaryMode": "separate" }, "tags": [] }