🎬 Transform images with AI image editor using FLUX.1 Kontext
⚡ 1,022 views · 🎬 Content Creation & Video
💡 Pro Tip — YouTube’s API quotas can be a bottleneck when you’re pulling data at scale. ScraperNode is a community node with dedicated scrapers for channels, videos, and comments — no quota limits, just structured data.
Description
For Who?
- Content Creators
- Youtube Automation
- Marketing Team
How it works?
1 - Retrieve Base Image, Image Description and Situation from Airtable 2 - Generate Image Prompt 3 - Generate Image via Fal AI 4 - Verify if Image is generated 5 - Upload Image on Airtable
📺 YouTube Video Tutorial:
SETUP
Setup Input : The first part of the workflow can be replaced with anything else. You need as input a Prompt and the Base Image URL (publicly available).
Setup Output : In this Workflow, the output is storing the image on Airtable but you can replace that with anything else but basically you have two options :
- Store the Generated Image somewhere : Keep everything like this and replace the last Airtable node with the Third Party you want to use.
- Use the Image directly in n8n : In HTTP Request “Generate Image” switch sync_mode to “true”, remove all the following nodes and add “Extract form File” node (convert to Base64 String)
APIs : For the following third-party integrations, replace ==[YOUR_API_TOKEN]== with your API Token or connect your account via Client ID / Secret to your n8n instance:
- Fal AI (FLUX KONTEXT MAX) : https://fal.ai/models/fal-ai/flux-pro/kontext/max/api#schema-input
- Airtable : https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable/?utm_source=n8n_app&utm_medium=node_settings_modal-credential_link&utm_campaign=n8n-nodes-base.airtable
🔗 Nodes Used
Airtable, HTTP Request, Basic LLM Chain, Mistral Cloud Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File