Block 1 - Structured Output Parser
- Type / Role
- @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
- Config choices
- Version 1.2
This workflow is provided as-is. Please review and test before using in production.
Who’s it for? This workflow is built for: AI storytellers , content creators , YouTubers , and short form video marketers Anyone looking to transform text prompts into cinematic AI generated videos...
@n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.splitout, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.wait, n8n-nodes-base.httprequest, n8n-nodes-base.switch, n8n-nodes-base.splitinbatches, n8n-nodes-base.aggregate
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jaruphat J..
Original n8n.io sourceThis workflow is built for:
This n8n workflow allows you to automatically turn a simple text prompt into a multi-scene cinematic video, using the powerful Fal.AI Seedance V1.0 model (developed by ByteDance — the creators of TikTok).
It combines the creativity of GPT-4o, the motion synthesis of Seedance, and the automation power of n8n to generate AI videos with ambient sound and publish-ready format.
Fal.AI (https://fal.ai)OpenAI (GPT-4o or 3.5)Google Sheets Example Google Sheetstory (short prompt)number_of_sceneduration (per clip)aspect_ratio, resolution, modelPrompt: “A rabbit flies to the moon on a dragonfly and eats watermelon together”
→ Result: 3 scenes, each 5s, cinematic camera pans, soft ambient audio, auto-uploaded to YouTube
Result
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 38 workflow blocks. Download the JSON for the full node graph.
| Workflow | Generate cinematic videos from text prompts with GPT-4o, Fal.AI Seedance & Audio |
|---|---|
| Complexity | advanced |
| Nodes | 38 |
| Categories | Content Creation, Multimodal AI |
| Author | Jaruphat J. |
| Published | 07 Jul 2025 |
Use the JSON export at /data/workflows/5741/5741.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.
Who’s it for? This workflow is built for: AI storytellers , content creators , YouTubers , and short form video marketers Anyone looking to transform text prompts into cinematic AI generated videos...
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.