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Generate cinematic videos from text prompts with GPT-4o, Fal.AI Seedance & Audio

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Generate cinematic videos from text prompts with GPT-4o, Fal.AI Seedance & Audio preview
Open on n8n.io

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • Content Creation automation workflows
  • Multimodal AI automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

@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

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jaruphat J..

Original n8n.io source

1.1 Workflow description

Title
Generate cinematic videos from text prompts with GPT-4o, Fal.AI Seedance & Audio
Workflow name
Generate cinematic videos from text prompts with GPT-4o, Fal.AI Seedance & Audio

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 fully automatically
  • Educators, trainers, or agencies creating story-based visual content at scale

What It Does

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.


How It Works

  1. Accepts a prompt from Google Sheets (configurable fields like duration, aspect ratio, resolution, scene count)
  2. Uses OpenAI GPT-4o to write a vivid cinematic narrative
  3. Splits the story into n separate scenes
  4. For each scene:
    • GPT generates a structured cinematic description (characters, camera, movement, sound)
    • The Seedance V1.0 model (via Fal.AI API) renders a 5s animated video
    • Optional: Adds ambient audio via Fal’s MM-Audio model
  5. Finally:
    • Merges all scene videos using Fal’s FFmpeg API
    • Optionally uploads to YouTube automatically

Why This Is Special

  • Fal.AI Seedance V1.0 is a highly advanced motion video model developed by ByteDance, capable of generating expressive, stylized 5–6 second cinematic clips from text.
  • This workflow supports full looping, scene count validation, and wait-polling for long render jobs.
  • The entire story, breakdown, and scene design are AI-generated — no manual effort needed.
  • Output is export-ready: MP4 with sound, ideal for YouTube Shorts, Reels, or TikTok.

Requirements


How to Set It Up

  1. Clone the template into your n8n instance
  2. Configure credentials:
    • Fal.AI Header Token
    • OpenAI API Key
    • Google Sheets OAuth2
    • (Optional) YouTube API OAuth
  3. Prepare a Google Sheet with these columns:
    • story (short prompt)
    • number_of_scene
    • duration (per clip)
    • aspect_ratio, resolution, model
  4. Run manually or trigger on Sheet update.

How to Customize

  • Modify the storytelling tone in GPT prompts (e.g., switch to fantasy, horror, sci-fi)
  • Change Seedance model params like style or seed
  • Add subtitles or branding overlays to final video
  • Integrate LINE, Notion, or Telegram for auto-sharing

Example Output

Prompt: “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

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Structured Output Parser

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 2 - Structured Output Parser1

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 3 - Split Out

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 4 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 5 - OpenAI Chat Model1

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 6 - Structured Output Parser2

Type / Role
@n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices
Version 1.2

Block 7 - Wait for the video

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 8 - Get the video status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 9 - Video status

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.2

Block 10 - Get the video

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 11 - Loop Over Items

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 12 - Get audio status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 13 - Get video with audio

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 14 - Start adding audio to the video

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 15 - Wait for adding the audio

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 16 - Audio status

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.2

Block 17 - Loop Over Items1

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 18 - Start merging videos

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 19 - Wait for the merge to complete

Type / Role
n8n-nodes-base.wait - wait
Config choices
Version 1.1

Block 20 - Merge videos status

Type / Role
n8n-nodes-base.switch - switch
Config choices
Version 3.2

Block 21 - Get merge videos status

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 22 - Get merged video

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 23 - Aggregate videos with audio

Type / Role
n8n-nodes-base.aggregate - aggregate
Config choices
Version 1

Block 24 - OpenAI Chat Model2

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Showing the first 24 of 38 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

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

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/5741/5741.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Generate cinematic videos from text prompts with GPT-4o, Fal.AI Seedance & Audio do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.