Block 1 - FAL WAN i2v (Queue) 2
- Type / Role
- n8n-nodes-base.httpRequest - httpRequest
- Config choices
- Version 4.2
This workflow is provided as-is. Please review and test before using in production.
This automated workflow template transforms a single product image into a complete professional advertisement video with dynamic motio...
n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.toolthink, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Juan Carlos Cavero Gracia.
Original n8n.io sourceThis automated workflow template transforms a single product image into a complete professional advertisement video with dynamic motion and custom soundtrack. Perfect for e-commerce businesses, marketing agencies, and content creators who need to quickly produce high-quality video ads for social media platforms like TikTok, Instagram Reels, and YouTube Shorts.
Note: This workflow uses FAL.ai API for AI image generation with Gemini Bano Banana and video creation with Wan, Google Gemini for intelligent storyboarding, ImgBB for image hosting, and Upload-Post.com for automated social media publishing.
Creating professional video advertisements traditionally requires expensive equipment, design skills, and hours of editing time. This workflow addresses these challenges by:
imgbb_api_key in the "Set APIs Vars" nodeUse this template to revolutionize your product marketing strategy, automatically converting any product photo into multiple high-quality video advertisements ready for immediate social media deployment.
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 61 workflow blocks. Download the JSON for the full node graph.
| Workflow | Generate video ads with Gemini 2.5 flash images & FAL WAN animation |
|---|---|
| Complexity | advanced |
| Nodes | 61 |
| Categories | Content Creation, Multimodal AI |
| Author | Juan Carlos Cavero Gracia |
| Published | 27 Aug 2025 |
Use the JSON export at /data/workflows/7964/7964.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.
This automated workflow template transforms a single product image into a complete professional advertisement video with dynamic motio...
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.