Block 1 - Photo Upload Form
- Type / Role
- n8n-nodes-base.formTrigger - formTrigger
- Config choices
- Version 2.1
This workflow is provided as-is. Please review and test before using in production.
This workflow contains community nodes that are only compatible with the self hosted version of n8n. Description See the transformation in action! Here's an example of what this workflow can achiev...
n8n-nodes-base.formtrigger, n8n-nodes-base.stickynote, n8n-nodes-base.httprequest, n8n-nodes-base.wait, n8n-nodes-base.if, n8n-nodes-base.googledrive, n8n-nodes-base.set, n8n-nodes-upload-post.uploadpost
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 workflow contains community nodes that are only compatible with the self-hosted version of n8n.
See the transformation in action! Here's an example of what this workflow can achieve:
This automation template is designed for content creators, social media managers, and anyone looking to breathe new life into old family photos and historical images. It transforms any old black and white or sepia photograph into a colorized, animated video using cutting-edge AI technology, then automatically publishes the results across multiple social media platforms including Facebook, Instagram, YouTube, and X (Twitter).
The workflow combines powerful AI services to create engaging content from vintage photographs: first enhancing and colorizing the image using FLUX Kontext, then bringing it to life with realistic animations using Kling Video AI, and finally distributing the results across your social media channels automatically.
Note: The estimated cost per workflow execution is approximately $0.29 USD, covering the AI processing for both image colorization and video animation. The upload-post node only works for self-hosted n8n instances, but you can use the standard HTTP request node for uploading content on n8n Cloud.
Creating engaging social media content from old photos typically requires multiple manual steps: photo restoration, colorization, animation, and then individual posting to each platform. This workflow addresses these challenges by:
Transform your old photographs into viral social media content with this powerful AI-driven workflow that handles everything from restoration to distribution automatically.
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.
| Workflow | Transform old photos into animated videos with FLUX & Kling AI for social media |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | Content Creation, Multimodal AI |
| Author | Juan Carlos Cavero Gracia |
| Published | 07 Jul 2025 |
Use the JSON export at /data/workflows/5755/5755.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 workflow contains community nodes that are only compatible with the self hosted version of n8n. Description See the transformation in action! Here's an example of what this workflow can achiev...
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.