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🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison

19 nodes · manual, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut

Engine
n8n
Nodes
19
Trigger
scheduled/triggered
Source file
1903_Splitout_Googledocs_Automation_Webhook.json

Workflow flow

IntegrationsManualHTTPSplitInBatchesExtractFromFileGoogle DriveSplit OutGoogleDocsSet
100%
TRIGGER

When clicking ‘Test workflow’

Manual

Real Estate Spreadsheet Prompt

Set

Google Doc Image Id

Set

Download Image File from Google Drive

Google Drive

Get Base64 String

ExtractFromFile

List of Vision Models

Set

Split List of Vision Models for Looping

Split Out

Ollama LLM Request

HTTP

Loop Over Ollama Models

SplitInBatches

Create Result Objects

Set

General Image Prompt

Set

Create Request Body

Set

Save Image Descriptions to Google Docs

GoogleDocs

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

Browse by integration

manualhttpRequestsplitInBatchesextractFromFilegoogleDrivesplitOutgoogleDocs
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

🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison is a free n8n workflow on OpenRuna — 19 nodes connecting manual, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut, googleDocs. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" automates a manual-to-httpRequest flow in n8n across 19 nodes. 19 nodes · manual, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. 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 manual integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 19-node flow from scratch.
  • Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
  • Study how data moves from manual to httpRequest before building your own variant.

Example output

Imported into n8n, "🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut, googleDocs. Open each node after import to map credentials to your own manual and httpRequest 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 "🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" into Claude and ask it to explain each of the 19 nodes. Claude is good at suggesting credential mappings for manual, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut, googleDocs, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" to your accounts — which manual, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut, googleDocs 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 19 nodes.

Frequently asked questions

How do I import "🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" 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 "🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" use?
It uses: manual, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut, googleDocs. The flow diagram above shows how each service connects across the 19 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 httpRequest credentials in n8n after import.
What trigger type does "🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" 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 "🦙👁️👁️ Find the Best Local Ollama Vision Models by Comparison" 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, httpRequest, splitInBatches, extractFromFile, googleDrive, splitOut, googleDocs.

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