Block 1 - Set Idea
- Type / Role
- n8n-nodes-base.set - set
- Config choices
- Version 3.4
This workflow is provided as-is. Please review and test before using in production.
Automated Video Generator (n8n Workflow) Features End to End Video Creation from user idea or transcript AI Powered Scriptwriting using LLMs (e.g., DeepSeek via OpenRouter) Voiceover Generati...
n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.aggregate, n8n-nodes-base.stickynote, n8n-nodes-base.splitinbatches, n8n-nodes-base.code, n8n-nodes-base.splitout, n8n-nodes-base.formtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Lakindu Siriwardana.
Original n8n.io sourceEnd-to-End Video Creation from user idea or transcript
AI-Powered Scriptwriting using LLMs (e.g., DeepSeek via OpenRouter)
Voiceover Generation with customizable TTS voices
Image Scene Generation using generative models like together.ai
Clip Creation & Concatenation into a full video
Dynamic Caption Generation with styling options
Google Drive & Sheets Integration for asset storage and progress tracking
User Submits Form with:
AI generates a script: A catchy title, description, hook, full script, and CTA using a language model.
Text-to-Speech (TTS): The script is turned into audio using the selected voice, with timestamped captions generated.
Scene Segmentation: The script is split into 5โ6 second segments for visual storyboarding.
Image Prompt Creation: Each scene is converted into an image prompt in the selected style (e.g., "anime close-up of a racing car").
Image Generation: Prompts are sent to together.ai or fal.ai to generate scenes.
Clip Creation: Each image is turned into a short video clip (Ken Burns-style zoom) based on script timing.
Video Assembly:
Run your TTS server locally using Docker.
The nca-toolkit appears to be a custom video/image processing backend used via HTTP APIs:
http://host.docker.internal:9090/v1/image/transform/video
http://host.docker.internal:9090/v1/video/concatenate
http://host.docker.internal:9090/v1/ffmpeg/compose
Clone or build the nca-toolkit container (if it's a private tool):
Ensure it exposes port 9090.
It should support endpoints for:
Image to video (zoom effect)
Video concatenation
Audio + video merging
Caption overlay via FFmpeg
Run it locally with Docker:
docker run -d -p 9090:80 your-nca-toolkit-image
This handles image generation using models like FLUX.1-schnell.
๐ง Steps: Create an account at: https://www.together.ai
Generate your API key
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 81 workflow blocks. Download the JSON for the full node graph.
| Workflow | Generate AI videos from scripts with DeepSeek, TTS, and Together.ai |
|---|---|
| Complexity | advanced |
| Nodes | 81 |
| Categories | Content Creation, Multimodal AI |
| Author | Lakindu Siriwardana |
| Published | 01 Aug 2025 |
Use the JSON export at /data/workflows/6777/6777.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.
Automated Video Generator (n8n Workflow) Features End to End Video Creation from user idea or transcript AI Powered Scriptwriting using LLMs (e.g., DeepSeek via OpenRouter) Voiceover Generati...
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.