Block 1 - Narrative LLM Core
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatDeepSeek - lmChatDeepSeek
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
How It Works 1. Story Generation – Your idea is transformed into a narrative split into scenes using DeepSeek LLM . 2. Visuals – Each scene is illustrated with AI images via Replicate , then animat...
@n8n/n8n-nodes-langchain.lmchatdeepseek, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.splitout, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.set, n8n-nodes-base.splitinbatches
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Țugui Dragoș.
Original n8n.io source/render, and the final video link is delivered back instantly.Type your idea with /render in Slack - the workflow starts automatically.
Receive a polished cinematic video link in Slack.
⚠️ Important: You must create your own template in Creatomate.
This is a one-time setup - the template defines where the voiceover, music, and video clips will be placed.
The more detailed and refined your template is, the better the final cinematic result.
To run this workflow, you need accounts and API keys from the following services:
/render Your Story Idea. With this workflow, you’re not just using AI tools – you’re running a full AI-powered studio in n8n.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
Showing the first 24 of 45 workflow blocks. Download the JSON for the full node graph.
| Workflow | Turn ideas into movies with DeepSeek, RunwayML, ElevenLabs & Creatomate |
|---|---|
| Complexity | advanced |
| Nodes | 45 |
| Categories | Content Creation, Multimodal AI |
| Author | Țugui Dragoș |
| Published | 03 Sept 2025 |
Use the JSON export at /data/workflows/8222/8222.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How It Works 1. Story Generation – Your idea is transformed into a narrative split into scenes using DeepSeek LLM . 2. Visuals – Each scene is illustrated with AI images via Replicate , then animat...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, Multimodal AI use case.