Curated

(5/5)

Easy Image Captioning with Gemini 1.5 Pro

Try it out! This workflow takes an image and generates a caption for it using AI. The OpenAI node has been able to do this for a while but this workflow demonstrates how to achieve the same with other multimodal vision models such as Google's Gemini. Additional, we'll use the Edit Image node to overlay the generated caption onto the image. This can be useful for publications or can be repurposed for copyrights and/or watermarks. Need Help? Join the [Discord](https://discord.com/invite/XPKeKXeB

Integrations Used (5)

Lmchatgooglegemini

Outputparserstructured

Editimage

HTTP Request

Chainllm

Workflow Structure (11 nodes)

100%

Manual Trigger

When clicking ‘Test workflow’

Http Request

Get Image

Edit Image

Get Info

Merge

Merge Image & Caption

Edit Image

Resize For AI

Langchain.lm Chat Google Gemini

Google Gemini Chat Model

Langchain.chain Llm

Image Captioning Agent

Langchain.output Parser Structured

Structured Output Parser

Code

Calculate Positioning

Merge

Merge Caption & Positions

Edit Image

Apply Caption to Image

Node Types:

trigger

action

default

code

logic

http

Requires credentials

Prerequisites

Required Credentials (1)

Google Palm

Used by: Google Gemini Chat Model

Docs

Complexity

Complex

Advanced features used. Requires n8n experience.

Setup time: ~30 min

Score: 58/100

Custom Code

Conditional Logic

When to Use This Workflow

AI-Powered Content Creation

Automate content generation, summarization, or analysis using AI capabilities.

Save hours of manual work while maintaining quality and consistency.

Real-time Response

React instantly when events happen - new orders, form submissions, or API calls.

Zero delay between trigger and action for time-sensitive workflows.

Error Reduction

Eliminate human error from routine processes with consistent automation.

Improve accuracy and reliability across your workflows.

workflow.json

{
  "meta": {
    "instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
  },
  "nodes": [
    {
      "id": "0b64edf1-57e0-4704-b78c-c8ab2b91f74d",
      "name": "When clicking ‘Test workflow’",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        480,
        300
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "a875d1c5-ccfe-4bbf-b429-56a42b0ca778",
      "name": "Google Gemini Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
...