Block 1 - When chat message received
- Type / Role
- @n8n/n8n-nodes-langchain.chatTrigger - chatTrigger
- Config choices
- Version 1.3
This workflow is provided as-is. Please review and test before using in production.
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full length lyrics and a professional AI generated music track, all without leaving your con...
@n8n/n8n-nodes-langchain.chattrigger, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.stickynote
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Daniel Nkencho.
Original n8n.io sourceSpark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full-length lyrics and a professional AI-generated music track, all without leaving your conversation.
This chat-triggered workflow harnesses AI to generate detailed, genre-matched song lyrics (at least 600 characters) from user messages, then queues them for music synthesis via Fal.ai's minimax-music model. It polls asynchronously until the track is ready, delivering lyrics and audio URL back in chat.
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 | Generate song lyrics and music from text prompts using OpenAI and Fal.ai Minimax |
|---|---|
| Complexity | advanced |
| Nodes | 17 |
| Categories | Content Creation, Multimodal AI |
| Author | Daniel Nkencho |
| Published | 22 Oct 2025 |
Use the JSON export at /data/workflows/10005/10005.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.
Spark your creativity instantly in any chat—turn a simple prompt like "heartbreak ballad" into original, full length lyrics and a professional AI generated music track, all without leaving your con...
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.