Block 1 - Sanitize text
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
This workflow is provided as-is. Please review and test before using in production.
This n8n workflow is an end to end AI powered video generation pipeline that takes a dataset of sci fi book, generates reviews with GenAI, dynamically injects assets into After Effects via Nexrende...
n8n-nodes-base.code, n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.stickynote, @nexrender/n8n-nodes-nexrender.nexrender
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by nexrender.
Original n8n.io sourceThis n8n workflow is an end-to-end AI-powered video generation pipeline that takes a dataset of sci-fi book, generates reviews with GenAI, dynamically injects assets into After Effects via Nexrender, and automatically produces fully rendered videos — ready for publishing.
It demonstrates: • AI content generation inside render jobs • Dynamic After Effects templating • Adaptive composition logic • Fully automated creative production at scale
Built as a demo for the Nexrender n8n integration, it shows how to turn raw ideas into finished video content with zero manual editing.
Requirements:
How It Works: • Imports a sci-fi books dataset into n8n • Uses GenAI (ChatGPT) to generate book reviews and narrative content • Cleans and structures the AI output for video rendering • Dynamically injects text and assets into an After Effects template via n8n Nexrender Integration • Submits the job to Nexrender for rendering • Generates AI-powered visuals inside the render job • Automatically adjusts composition length based on each review • Outputs a fully produced video — no manual editing required
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.
| Workflow | Create AI sci‑fi book review videos with ChatGPT, Fal.ai and Nexrender |
|---|---|
| Complexity | intermediate |
| Nodes | 11 |
| Categories | Content Creation, Multimodal AI |
| Author | nexrender |
| Published | 29 Dec 2025 |
Use the JSON export at /data/workflows/12270/12270.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.
This n8n workflow is an end to end AI powered video generation pipeline that takes a dataset of sci fi book, generates reviews with GenAI, dynamically injects assets into After Effects via Nexrende...
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.