Generate Videos with AI, ElevenLabs,PIAPI Shotstack/Creatomate & Post to Youtube — n8n Workflow

Hoch Komplexität Geplant71 Knoten👩‍💻 IT Ops👁 2,843 Aufrufevon Immanuel

Übersicht

Auto-Generate Long Videos with AI, ElevenLabs,PIAPI,Shotstack/Creatomate & Post to Youtube

Overview This n8n automation workflow automates the creation, scripting, production, and posting of YouTube videos. It leverages AI (OpenAI), image generation (PIAPI), video rendering (Shotstack), and platform integrations (Airtable, Google Sheets, YouTube) to streamline the process.
Target Audience Content creators, video producers, and YouTubers** seeking to automate video content creation. Digital ma

Verwendete Knoten

AirtableGoogle SheetsHTTP RequestGoogle DriveGmailYouTubeCodeAI AgentOpenAI Chat ModelStructured Output Parser

Workflow-Vorschau

toolmodelmodelmodelparser
S
Schedule Trigger
Parse Ideas
Generate Script
OpenAI Chat Model1
OpenAI Chat Model
S
searchAirtable
Add Ideas
Generate Idea
Store in Airtable
Structured Output Parser
Store Script
Store Script in Airtable
Parse Script Output
Update Status Ideas Table
Updated Idea to Scripted
Extract Scenes
Text-to-Image
W
Wait for 4 Min
Store Image Urls in Airt…
Get Images
Get ImageUrls
Scene Image Urls
Extract Narration
Voice Generation
Store Sound
W
Wait 2 Min
Store Voice Urls
Aggregating Voice Urls
Update VoiceUrls
Update ImageUrls
Prepare Video Assets
W
Wait 5 Min
Allow Access
ShotStack Render Video
Build Shotstack Timeline
Download video
Store video
L
Limit
2
2 Min Wait
Generate Music Prompt
OpenAI Chat Model2
M
MusicPrompt
Text toMusic
Music Store
Access to Anyone with Link
Store Music Urls
Add Aggregate Music URLs
Parse Music Prompts
M
Merge
Poll Rendered Videos
Final Video
W
Wait for Render
Get Final Video
C
Check Video Status
Video Creatomate
Prepare Assets For Crea…
List Elements
Download Binary
Final Creatomate Video
Youtube Video Created
Failed Creation
Final Video Update
Final Video Creatomate
Creatomate Final Video
Music Urls
Download Video
Post YouTube
Search for Latest Ready …
Update Pepduction Table
I
If Ready?
S
Schedule Trigger1
71 nodes72 edges

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem geplant-Auslöser, der nach einem definierten Zeitplan läuft.

  2. 2

    Verarbeitung

    Die Daten fließen durch 71 Knoten, connecting agent, airtable, airtabletool.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (71)

AI

Airtable

airtable

#1
GO

Google Sheets

googleSheets

#2
HT

HTTP Request

httpRequest

#3
GO

Google Drive

googleDrive

#4
GM

Gmail

gmail

#5
YO

YouTube

youTube

#6
CO

Code

code

#7
AI

AI Agent

n8n-nodes-langchain.agent

#8
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#9
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#10

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei generate-videos-with-ai-elevenlabspiapi-shotstackcreatomate-post-to-youtube und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

{ "name": "Generate Videos with AI, ElevenLabs,PIAPI Shotstack/Creatomate & Post to Youtube", "nodes": [...], ...}

Integrationen

agentairtableairtabletoolcodegmailgoogledrivegooglesheetshttprequestiflimitlmchatopenaimergeoutputparserstructuredscheduletriggersetswitchwaityoutube

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten71
Komplexitäthigh
Auslöserscheduled
Aufrufe2,843
KategorieIT Ops

Erstellt von

Immanuel

Immanuel

@spectrabit

Tags

agentairtableairtabletoolcodegmailgoogledrivegooglesheetshttprequestiflimit

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