Skip to content
FlowHubFluxonLab
B
AI Automationfree

Generate CCTV-style animal TikTok videos with OpenAI, Seedance and Blotato

by Dr. Firasadapted from n8n official workflow galleryUpdated Aug 2026
RequiresBBasic LLM ChainHTTP RequestHTTP RequestOpenAI Chat ModelOpenAI Chat ModelStructured Output ParserStructured Output ParserTelegramTelegram
Share Post Share
ScRun every 4 hoursRun every 4 hou…SeConfigurationCLGenerate CCTV promptGenerate CCTV p…OpenAI model (scene prompt)OpenAI model (s…OPScene prompt parserScene prompt pa…HRStart Seedance videoStart Seedance …WaWait for renderingWait for render…HRCheck render statusCheck render st…IfIs video ready?CLGenerate title and hashtagsGenerate title …OpenAI model (caption)OpenAI model (c…OPCaption parserBlPublish to TikTokPublish to TikT…Send preview to TelegramSend preview to…1234567891011121314
1/5
STEPS · 14
Runs on a schedule

Quick Overview This workflow runs every four hours to generate a CCTV-style animal video concept with OpenAI, renders an 8-second vertical clip using AtlasCloud Seedance, then publishes it to TikTok via Blotato and sends a preview to Telegram. How it works Runs every 4 hours on a schedule. Uses OpenAI to create a hyper-realistic CCTV-style image and video prompt based on a random (or overridden) animal, location, action, and a current timestamp overlay. Starts a Seedance text-to-video render on AtlasCloud with the generated prompt, duration, aspect ratio, and optional audio. Polls AtlasCloud at a fixed interval until the render status is completed or succeeded and retrieves the output video URL. Uses OpenAI to generate a TikTok-ready title and exactly five hashtags from the video concept. Publishes the generated video to TikTok via Blotato with the title/hashtags and the selected privacy level, flagged as AI-generated. Sends the rendered video and title as a preview to a specified Telegram chat. Setup Add OpenAI API credentials and set the prompt and caption models in the Configuration values if you want to change them.

Tags

n8nreference-onlychain-llmlm-chat-open-aioutput-parser-structuredtelegram
Connects
BBasic LLM ChainWHTTP RequestopenaichatmodelOpenAI Chat ModelstructuredoutputparserStructured Output ParsertelegramTelegram
CategoryAI Automation
Triggermanual
Complexitycomplex
Nodes14
AddedJul 11, 2026

Related workflows

See all AI Automation
Bsheetsopenaichatmodel
free

Create and approve AI social posts with OpenAI, Telegram and Blotato

Quick overview This workflow runs daily to generate an AI-written social post and DALL·E image with OpenAI, sends it to Telegram for approval, and—if approved—publishes it to LinkedIn, X, Instagram, Facebook, and Threads via Blotato while logging outcomes to Google Sheets. How it works Runs every 24 hours on a schedule trigger. Uses OpenAI to generate a single content topic (title, angle, and hook) based on your niche, audience, and language settings. Uses OpenAI to write one social post with a separate hashtag line and an image prompt in your specified tone and style. Uses OpenAI Images (DALL·E) to generate a matching image and extracts a shareable image URL. Sends the post text, hashtags, and image link to Telegram and waits for you to approve or skip within the configured time window. If approved, publishes the post with the image to LinkedIn, X, Instagram, Facebook, and Threads using Blotato and appends a “Published” log row to Google Sheets. If skipped or not approved, appends a “Skipped” log row to Google Sheets. Setup Add OpenAI API credentials and ensure the selected chat model and image model in the configuration match models available to your account. Add Telegram credent

by Dr. Firas
autofixingoutputparserBopenaichatmodelstructuredoutputparser
free

Force AI to use a specific output format

This workflow is for anyone looking to automatically fetch, validate, and parse complex language-based queries into a structured format. Its unique capability lies in not only processing language but also fixing invalid outputs before structuring them. Note that to use this template, you need to be on n8n version 1.19.4 or later.

by n8n Team
BWstructuredoutputparser
free

Send prescription PDFs to patients via WhatsApp with Google Gemini and Supabase

Quick overview This workflow listens for incoming WhatsApp messages from clinic staff, uses Google Gemini to extract prescription details, generates a prescription PDF via an HTML-to-PDF API, uploads it to a public URL, sends the document back over WhatsApp, and logs outcomes to Supabase. How it works Triggers whenever a new WhatsApp message is received on your WhatsApp Business Cloud number. Captures configuration values and the incoming message text and sender number. Uses Google Gemini to extract patient name, doctor name, and medication details into structured data and flags any missing required fields. If required details are missing, replies to staff on WhatsApp with what to fix and inserts a needs_review record into Supabase. If details are complete, renders a prescription HTML document, converts it to a PDF via an external HTML-to-PDF API, and uploads the PDF to an external file-hosting API. Sends the prescription PDF to the sender on WhatsApp and inserts a “sent” log record (including the PDF URL) into Supabase. Setup Connect WhatsApp Business Cloud credentials for the WhatsApp trigger and the WhatsApp send steps, and configure the workflow’s webhook in Meta/WhatsApp so in

by Kanishka Shrivastava