Generate CCTV-style animal TikTok videos with OpenAI, Seedance and Blotato
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 14 nodes and runs on a schedule (every 4 hours). Along the way it connects OpenAI Chat Model, Telegram and Blotato (community). It also calls api.atlascloud.ai over HTTP.
How it runs
Trigger: On a schedule (every 4 hours).
- Configuration (Edit Fields (Set)): sets 12 fields: atlas_model, video_duration, aspect_ratio…
- Generate CCTV prompt (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI model (scene prompt); output parser: Scene prompt parser
- Start Seedance video (HTTP Request): calls api.atlascloud.ai (POST)
- Wait: pauses before continuing
- Check render status (HTTP Request): calls an HTTP API
- Is video ready? (If): checks a condition and branches into true / false
- Generate title and hashtags (Basic LLM Chain): sends a prompt to an LLM, with model: OpenAI model (caption); output parser: Caption parser
- Publish to TikTok (Blotato): uses Blotato
- Send preview to Telegram (Telegram): send video
Services it uses
HTTP calls to: api.atlascloud.ai
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @blotato/n8n-nodes-blotato is verified or supports 3.0 (used in Publish to TikTok).
Nodes used (10)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - HTTP Request
n8n-nodes-base.httpRequest - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - Blotato
@blotato/n8n-nodes-blotato.blotato - Telegram
n8n-nodes-base.telegram
From the author
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 1.…