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Web address that draws a picture from a prompt with OpenAI

by Mindketn8n workflowDeveloper
Newversion 1 · updated
Nodes3Apps1Like

Overview

  1. Webhook
  2. OpenAI
  3. Respond to Webhook
Web address that draws a picture from a prompt with OpenAI, picture 1
‹2 / 2›

An n8n workflow with a webhook: open its address with a prompt after ?input= and an OpenAI image model draws the picture. The image comes back in the same call, so a browser shows it on the spot.

Web address that draws a picture from a prompt with OpenAI is an n8n workflow in the Developer category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page or copy its JSON, then import it into an n8n canvas. Nothing runs until you activate it in n8n.

At a glance

Runs in
  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • A browser: paste the address and watch the picture load
  • Another app: call the address with a GET request and save the file it returns

Platform

n8nWorkflow automation, in n8n’s cloud or on your own server
Connects 1 app

How it works

Trigger

Web address

It starts when someone opens the webhook’s address with the prompt after ?input=:

  • The prompt, with each space written as %20

Actions

  1. The prompt is read from the address’s input value
  2. An OpenAI image model draws a picture from it
  3. The picture goes back to the caller as the reply

Result

The browser or app that opened the address receives the picture as an image file in the same call

Integrations

What you need before you start.

OpenAI

Image generation

Runs gpt-image-2.6-flare through the OpenAI node’s image step, with the prompt taken from the address.

NeedsOpenAI API key, in an OpenAI credential

Workflow check

Checked by Mindket on 13 Nov 2026

Steps
3 steps, starting when its webhook is called
AI
1 step calls an AI model: OpenAI
Sign-ins
No sign-in
API keys
No API key is left in the file
Step types
Mindket’s checker reads all 3 of its step types

Read from the workflow’s file, not from a run.

About

What it is

This n8n workflow turns a web address into a small image maker. It waits for a GET request, reads the input value from the address and sends it to an OpenAI image model as the prompt. The picture comes back in the same call as a file, so a browser shows it right away. Three nodes do the work, beside four sticky notes that explain the steps.

Who it suits

Developers and makers who want a plain picture endpoint for a prototype, a page of their own or another tool’s HTTP step. Skip it if you need a guarded public service. As imported, anyone who has the address can start a run.

Who uses it, and how
IndustryWho uses itHow they use itExample
Web developmentFront-end developersPoint an image tag at the address with a prompt in itA developer fills a mockup page with pictures drawn from prompts.
MarketingContent teamsOpen the address by hand to try prompts for post picturesA marketer tries five prompts for a launch post by editing the address.
No-code buildingMakersCall the address from another tool’s HTTP step and keep the fileA maker’s form tool fetches one picture for each new entry.
EducationTeachersDraw an illustration for a handout from one lineA teacher gets a picture of the water cycle for a worksheet.

You need a little n8n: import a file, add one OpenAI credential and paste an address into a browser.

Where to use it

Any n8n that can reach OpenAI’s API will run it. The picture goes back to whoever opened the address.

  • n8n Cloud: import the file into a new workflow there
  • Your own n8n server: the same file and steps
  • A browser: paste the address and watch the picture load
  • Another app: call the address with a GET request and save the file it returns

Setup

Download saves a zip with workflow.json and Mindket’s setup notes in your downloads folder. One OpenAI key covers it.

What you need first
NeedDetail
n8nOn n8n Cloud or on a server of your own
OpenAIAn API key for an OpenAI credential, with access to image generation
  1. In n8n, create a workflow, open its menu, choose Import from File and pick workflow.json.
  2. Add an OpenAI credential with your key and select it in OpenAI.
  3. Open Webhook. If the address will be public, change its path from image-api to a long random string.
  4. Copy the webhook’s test address and add ?input= and your prompt, with each space written as %20.
  5. Save, press Execute workflow and open the whole address in a browser.
  6. Press Publish and use the production address the same way.

How to use it

Take the webhook’s address, add ?input= and a prompt, and write each space as %20. Open it in a browser or call it from another tool. The reply is the picture, so the browser shows it instead of a page. A missing prompt stops the run with an error.

What to change for a different result
To changeWhere
The modelmodelId in OpenAI, gpt-image-2.6-flare in Mindket’s copy
The prompt’s sourceprompt in OpenAI, which reads query.input from the address
The addressThe path in Webhook, image-api in Mindket’s copy
The replyRespond to Webhook, which sends back the file as it is

Example

A developer adds ?input=a%20red%20bicycle%20against%20a%20brick%20wall to the production address and opens it in a browser.

The webhook passes that prompt to the image model. The model draws the picture, and Respond to Webhook returns it as an image file. The browser shows a red bicycle against a brick wall instead of a page of text.

For newcomers and experts

If you are new. n8n draws a workflow as boxes joined by lines, and each box, a node, does one job. This one is a straight line of three: the webhook, the OpenAI node and the reply. The four sticky notes on the canvas label the steps and say how to build the address. Run it once with a short prompt.

For experts. The prompt travels in the query string, so there is no body to parse and no path variable.

Where to look closer
NodeWhat it doesWhat to know
WebhookWebhook 1.1 with no method set, so it listens for GETresponseMode is responseNode, so the reply comes from Respond to Webhook
OpenAIOpenAI node 2.3, resource image, operation generateThe file goes out as a binary field named data, since GPT image models return base64
Respond to WebhookSends the first binary file backIt takes the file from the field it finds, with no name to set

Good to know

Nothing guards the address, and the original copy’s model is gone.

  • Model: the original copy left the model at the node’s default, dall-e-3, which OpenAI shut down on 12 May 2026. Mindket’s copy uses version 2.3 of the OpenAI node with gpt-image-2.6-flare. OpenAI’s deprecations page, read on 12 November 2026, names it as the newest replacement for its image models, and its model page calls it made for fast iteration
  • Billing: OpenAI bills one image a request. Its model page lists image output at $30 per million tokens
  • Open address: once published, anyone with the address can draw pictures on your key. A guessable path like image-api makes it easier, so use a long random one and add authentication in Webhook
  • Refusals: a prompt OpenAI rejects ends the run with an error and no picture
  • Your data: each prompt goes to OpenAI
  • Credentials: the JSON holds none

README and files

README

Web address that draws a picture from a prompt with OpenAI

An n8n workflow with a webhook. You open its address with a prompt after ?input=, an OpenAI image model draws a
picture from that prompt, and the picture comes back in the same call. A browser shows it as an image, and another
app can save the file.

What is inside

  • workflow.json: the workflow as n8n exports it, seven nodes. Three do the work and four are sticky notes that label
    the steps and explain the address. It holds no credential.
  • README.md: these notes.

What we changed from the original copy

  • The OpenAI node left its model at the node's default, dall-e-3, which OpenAI shut down on 12 May 2026. It is now
    version 2.3 of the node, with the operation set to generate and gpt-image-2.6-flare typed in the model's ID field.
    Version 1.1 of the node offers only DALL·E 2, DALL·E 3 and GPT Image 1, all of them retired.
  • The webhook's path was its author's own ID. It is now image-api, and the webhookId is gone.
  • The OpenAI node was linked to a credential in its author's n8n. The link is gone, so select your own.
  • Nothing else. The prompt, the reply and the sticky notes are the file's own.

Before you start

  • An n8n instance, on n8n Cloud or your own server.
  • An OpenAI API key with access to image generation.

Set it up

  1. In n8n, create a workflow, open its menu and choose Import from File. Pick workflow.json.
  2. Add an OpenAI credential with your key and select it in OpenAI.
  3. Open Webhook. If the address will be public, change the path from image-api to a long random string.
  4. Copy the webhook's test address. Add ?input= and your prompt, with each space written as %20.
  5. Save, press Execute workflow and open the whole address in a browser.
  6. Press Publish and use the production address the same way.

How a run goes

  1. Webhook (Webhook 1.1) has no method set, so it listens for GET. It holds the answer until
    Respond to Webhook replies. The prompt arrives as query.input.
  2. OpenAI (OpenAI node 2.3, resource image, operation generate) sends the prompt to the model. The picture comes
    back as a binary field named data.
  3. Respond to Webhook replies with the binary file. It picks the file from the incoming item on its own.

Change the look

  • Model: modelId in OpenAI. It is an ID field, so any model name your account can use works there.
  • Prompt source: prompt in OpenAI, which reads {{ $json.query.input }}. Change it to read another field.
  • Address: the path in Webhook.
  • Reply: Respond to Webhook. Add a node before it to resize, save or watermark the picture.
  • Options: the Options list of OpenAI offers choices that depend on the model, such as size.

Good to know

  • OpenAI's deprecations page, read on 12 November 2026, shut down dall-e-3 on 12 May 2026. Its newest named
    replacement for the image models is gpt-image-2.6-flare, and its model page calls that one made for fast
    iteration.
  • Each request is one image. The model page lists image output at $30 per million tokens.
  • An empty or missing input stops the node with the error "A non-empty prompt is required."
  • A prompt that OpenAI rejects ends the run with an error and no picture.
  • Once the workflow is published, anyone who has the address can draw pictures on your key. A path as plain as
    image-api is easy to guess, so use a long random one and add authentication in Webhook.
  • Each prompt goes to OpenAI.
  • The file holds no credential and no key.
Files
NOTICE.md  612 B
README.md  3 KB
workflow.json  4 KB

3 files, 8 KB, downloaded as a zip.

What’s new

  • Version 1 · 2026-11-12

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