Automate AI video creation & multi-platform publishing with Gemini & Creatomate
Needs changesWhat this workflow does
This AI workflow has 34 nodes and runs manually, when you click “Execute workflow”. Along the way it connects Google Gemini Chat Model, Airtable and YouTube. It also calls api.airtable.com, api.upload-post.com and api.creatomate.com over HTTP.
How it runs
Trigger: Manually, when you click “Execute workflow”.
- Content Brain (Basic LLM Chain): sends a prompt to an LLM, with model: Google Gemini Chat Model; output parser: Structured Output Parser
- Set Video Title and Description (Edit Fields (Set)): sets 2 fields: output.video_title, output.description
- Create Record in Video Table (Airtable): create or update
- Split Out: splits a list into separate items
- Clean - Details (Code): runs custom JavaScript code
- Creating records in Scenes Table (Airtable): create or update
- Merge: merges the data from its input branches
- Loop Over Items (Loop Over Items (Split in Batches)): loops over the items in batches
- Merging Complete Video Details (Code): runs custom JavaScript code
- Get Records for Airtable (HTTP Request): calls api.airtable.com
…plus 20 more steps. See the full node list below.
Services it uses
HTTP calls to: api.airtable.com, api.upload-post.com, api.creatomate.com
Before you upgrade to n8n 3.0
1 thing in this workflow is removed in n8n 3.0. Fix it before you upgrade:
- AI Agent v1 (old agent modes) in AI Agent - Create Image From Prompt (v1.7): replace with Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent.
Rather not rewrite it? Many of these flows can be rebuilt in Make (free plan).
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent - Create Image From Prompt (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (17)
- Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Split Out
n8n-nodes-base.splitOut - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Manual Trigger
n8n-nodes-base.manualTrigger - Switch
n8n-nodes-base.switch - Stop and Error
n8n-nodes-base.stopAndError - Merge
n8n-nodes-base.merge - Airtable
n8n-nodes-base.airtable - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Filter
n8n-nodes-base.filter - Wait
n8n-nodes-base.wait - YouTube
n8n-nodes-base.youTube
From the author
This n8n template from Intuz provides a complete end-to-end content factory to automate the entire lifecycle of creating and publishing AI-driven videos. It transforms a single text prompt into a fully scripted, visually rich video with AI-generated images…