Block 1 - Mistral Cloud Chat Model1
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatMistralCloud - lmChatMistralCloud
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Description This n8n workflow automates the entire process of creating and publishing AI generated videos, triggered by a simple message from a Telegram bot (YTAdmin). It transforms a text prompt i...
@n8n/n8n-nodes-langchain.lmchatmistralcloud, n8n-nodes-base.httprequest, n8n-nodes-base.youtube, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.set, n8n-nodes-base.if, n8n-nodes-base.telegram, n8n-nodes-base.telegramtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by NanaB.
Original n8n.io sourceThis n8n workflow automates the entire process of creating and publishing AI-generated videos, triggered by a simple message from a Telegram bot (YTAdmin). It transforms a text prompt into a structured video with scenes, visuals, and voiceover, stores assets in MongoDB, renders the final output using Creatomate, and uploads the video to YouTube. Throughout the process, YTAdmin receives real-time updates on the workflow’s progress. This is ideal for content creators, marketers, or businesses looking to scale video production using automation and AI.
You can see a video demonstrating this template in action here: https://www.youtube.com/watch?v=EjI-ChpJ4xA&t=200s
For each scene:
Images: Generated using OpenAI’s image model.
Voiceovers: Created using OpenAI’s text-to-speech.
Audio files are encoded and stored in MongoDB.
Step 2: Connect Your AI Providers
Step 3: Configure Audio File Storage with MongoDB via Custom API
Step 4: Set Up Creatomate
Step 5: Connect YouTube
Step 6: Deploy and Test
Need Help or Want to Customize This Workflow? If you'd like assistance setting this up or adapting it for a different use case, feel free to reach out to me at [email protected]. I'm happy to help!
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 34 workflow blocks. Download the JSON for the full node graph.
| Workflow | AI content creation and publishing engine with Mistral, Creatomate, and YouTube |
|---|---|
| Complexity | advanced |
| Nodes | 34 |
| Categories | Content Creation, Multimodal AI |
| Author | NanaB |
| Published | 15 May 2025 |
Use the JSON export at /data/workflows/4087/4087.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.
Description This n8n workflow automates the entire process of creating and publishing AI generated videos, triggered by a simple message from a Telegram bot (YTAdmin). It transforms a text prompt i...
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.