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Generate Instagram Content from Top Trends with AI Image Generation

44 nodes · telegram, splitInBatches, schedule, httpRequest, postgres, openAi

Engine
n8n
Nodes
44
Trigger
scheduled/triggered
Source file
1470_Telegram_Code_Create_Webhook.json

Workflow flow

IntegrationsTelegramSplitInBatchesScheduleHTTPPostgreSQLOpenAIFacebookGraphApiIFSetCodeMerge@n8n/n8n-nodes-langchain.openAi
100%
TRIGGER

Schedule Trigger1

Schedule

Replicate params

Set

Instagram params

Set

Telegram Params

Set

Rapid Api params

Set

get top trends on instagram #blender3d

HTTP

get top trends on instagram #isometric

HTTP

filter the image content

Code

filter the image content-2

Code

merge the array content

Merge

Telegram

Telegram

Telegram1

Telegram

Telegram2

Telegram

Check Data on Database Is Exist

PostgreSQL

Analyze Image and give the content

@n8n/n8n-nodes-langchain.openAi

Prepare data on Instagram

FacebookGraphApi

Publish Media on Instagram

FacebookGraphApi

If Data is Exist

IF

send error message to telegram

Telegram

Analyze Content And Generate Instagram Caption

@n8n/n8n-nodes-langchain.openAi

Check Status Of Media Before Uploaded

FacebookGraphApi

Check status of post

FacebookGraphApi

If media status is finished

IF

If media status is finished1

IF

Loop Over Items

SplitInBatches

insert data on db

PostgreSQL

Generate image on flux

HTTP

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

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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

Generate Instagram Content from Top Trends with AI Image Generation (44-node n8n automation, telegram, splitInBatches, schedule, httpRequest, postgres, openAi, facebookGraphApi) is free on OpenRuna — view the graph and export the JSON to import into n8n.

What this workflow does

"Generate Instagram Content from Top Trends with AI Image Generation" automates a telegram-to-splitInBatches flow in n8n across 44 nodes. 44 nodes · telegram, splitInBatches, schedule, httpRequest, postgres, openAi A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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

  • Benchmark it against your current telegram integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 44-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the telegram stack.
  • Study how data moves from telegram to splitInBatches before building your own variant.

Example output

Imported into n8n, "Generate Instagram Content from Top Trends with AI Image Generation" exposes 44 configured nodes. Trigger type: scheduled/triggered. Integrations: telegram, splitInBatches, schedule, httpRequest, postgres, openAi, facebookGraphApi. Open each node after import to map credentials to your own telegram and splitInBatches accounts. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "Generate Instagram Content from Top Trends with AI Image Generation" into Claude and ask it to explain each of the 44 nodes. Claude is good at suggesting credential mappings for telegram, splitInBatches, schedule, httpRequest, postgres, openAi, facebookGraphApi, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Generate Instagram Content from Top Trends with AI Image Generation" to your accounts — which telegram, splitInBatches, schedule, httpRequest, postgres, openAi, facebookGraphApi credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 44 nodes.

Frequently asked questions

How do I import "Generate Instagram Content from Top Trends with AI Image Generation" 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 "Generate Instagram Content from Top Trends with AI Image Generation" use?
It uses: telegram, splitInBatches, schedule, httpRequest, postgres, openAi, facebookGraphApi. The flow diagram above shows how each service connects across the 44 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 telegram and splitInBatches credentials in n8n after import.
What trigger type does "Generate Instagram Content from Top Trends with AI Image Generation" 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 "Generate Instagram Content from Top Trends with AI Image Generation" 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 telegram, splitInBatches, schedule, httpRequest, postgres, openAi, facebookGraphApi.

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