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1423_Code_Editimage_Automation_Webhook

16 nodes · manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm

Engine
n8n
Nodes
16
Trigger
scheduled/triggered
Source file
1423_Code_Editimage_Automation_Webhook.json

Workflow flow

IntegrationsManualLmChatGoogleGeminiOutputParserStructuredEditImageHTTPChainLlm@n8n/n8n-nodes-langchain.lmChatGoogleGemini@n8n/n8n-nodes-langchain.outputParserStructuredCodeMerge@n8n/n8n-nodes-langchain.chainLlm
100%
TRIGGER

When clicking ‘Test workflow’

Manual

Google Gemini Chat Model

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Get Image

HTTP

Get Info

EditImage

Resize For AI

EditImage

Image Captioning Agent

@n8n/n8n-nodes-langchain.chainLlm

Merge Image & Caption

Merge

Calculate Positioning

Code

Merge Caption & Positions

Merge

Apply Caption to Image

EditImage

11 steps · flows top to bottom, branches left to right

Browse by integration

manuallmChatGoogleGeminioutputParserStructurededitImagehttpRequestchainLlm
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: 1423_Code_Editimage_Automation_Webhook. 16 nodes across manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "1423_Code_Editimage_Automation_Webhook" chains 16 nodes to move data between manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm. 16 nodes · manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm Execution begins at the scheduled/triggered trigger and flows through the 16 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 16-node flow from scratch.
  • Benchmark it against your current manual integration to spot missing steps or redundant nodes.
  • Study how data moves from manual to lmChatGoogleGemini before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.

Example output

Imported into n8n, "1423_Code_Editimage_Automation_Webhook" exposes 16 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm. Open each node after import to map credentials to your own manual and lmChatGoogleGemini accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "1423_Code_Editimage_Automation_Webhook" JSON into a plain-English runbook, node by node. It can flag where manual rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "1423_Code_Editimage_Automation_Webhook" — extract manual IDs and secrets into environment variables without changing the 16-node structure.

Frequently asked questions

How do I import "1423_Code_Editimage_Automation_Webhook" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "1423_Code_Editimage_Automation_Webhook" use?
It uses: manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm. The flow diagram above shows how each service connects across the 16 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own manual and lmChatGoogleGemini credentials in n8n after import.
What trigger type does "1423_Code_Editimage_Automation_Webhook" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "1423_Code_Editimage_Automation_Webhook" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for manual, lmChatGoogleGemini, outputParserStructured, editImage, httpRequest, chainLlm.

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