Create talking avatar TikTok videos with Seedance, OpenAI and Blotato
UnknownWhat this workflow does
This AI workflow has 10 nodes and runs manually, when you click “Execute workflow”. Along the way it connects OpenAI Chat Model and Blotato (community). It also calls api.atlascloud.ai over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Configuration (Edit Fields (Set)): sets 9 fields: atlas_model, image_url, video_prompt…
- Generate video (Seedance 2.0) (HTTP Request): calls api.atlascloud.ai (POST)
- Wait: pauses before continuing
- Get generation status (HTTP Request): calls an HTTP API
- Is video ready? (If): checks a condition and branches into true / false
- Set video URL (Edit Fields (Set)): sets 1 field: video_url
- Generate TikTok title (AI Agent): runs an AI agent, with model: OpenAI Chat Model
- Post to TikTok (Blotato): uses Blotato
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 Post to TikTok).
Nodes used (8)
- Manual Trigger
n8n-nodes-base.manualTrigger - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - AI Agent
@n8n/n8n-nodes-langchain.agent - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Blotato
@blotato/n8n-nodes-blotato.blotato
From the author
Quick overview This workflow generates a talking-avatar video from a portrait image using AtlasCloud Seedance 2.0, creates a TikTok-ready title with OpenAI, and publishes the resulting video to TikTok via Blotato. How it works 1. Starts when you manually…