Generate and monitor Fal LTX text-to-video jobs with recovery manifests

by Shisan Hua ✓ · 2 views · created 2026-09-16 · Content Creation, Multimodal AI

What this workflow does

This workflow has 22 nodes and runs manually, when you click “Execute workflow”. It uses only n8n's built-in nodes. It also calls queue.fal.run over HTTP.

How it runs

Trigger: Manually, when you click “Execute workflow”.

1. Configure generation and recovery (Edit Fields (Set)): sets 9 fields: mode, allowPaidGeneration, prompt…
2. Validate configuration (Code): runs custom JavaScript code
3. Run demo? (If): checks a condition and branches into true / false
4. Demo submit receipt (Code): runs custom JavaScript code
5. Resume existing job? (If): checks a condition and branches into true / false
6. Prepare job state (Code): runs custom JavaScript code
7. Resume receipt (Code): runs custom JavaScript code
8. Submit once to Fal (HTTP Request): calls queue.fal.run (POST)
9. Receipt valid? (If): checks a condition and branches into true / false
10. Wait: pauses before continuing

…plus 11 more steps. See the full node list below.

HTTP calls to: queue.fal.run

Before you upgrade to n8n 3.0

Nodes used (6)

• Manual Triggern8n-nodes-base.manualTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Coden8n-nodes-base.code
• Ifn8n-nodes-base.if
• HTTP Requestn8n-nodes-base.httpRequest
• Waitn8n-nodes-base.wait

From the author

Quick overview This workflow runs manually to validate a JSON shot list and turn it into a downloadable Markdown production brief with per-shot video prompts, timeline timing, and review warnings for missing details or duration mismatches. How it works 1.…

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