How does Image Generation work?

Step 1: Pick your route — Local AI runs on an installed CLI and is not metered per image. API call uses your own provider key; only that route sends the prompt off the device. Step 2: Describe the image — Write the prompt, then set agent, size, quality and how many outputs. A reference image can seed the generation. Step 3: Let it run in the background — Jobs are durable — they survive navigating away and app restarts, and History shows live progress with a Cancel button. Step 4: Use the result — Completed outputs are ordinary Assets. Download, Open in Assets, or Use as reference to seed the next generation.

Content Machine

Image Generation

Design Studio → Image Generation turns a prompt or a reference asset into a model-native image and saves every valid result straight to your local asset library. Run it on a coding CLI subscription you already pay for, or on your own provider key.

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More screenshots

A closer look at Image Generation

Generation history listing an in-progress job at fifteen percent with a Cancel button above a completed job showing the rendered rocket image

Completed generation in history with Download, Open in Assets and Use as reference beneath the image and Run again and Delete history on the right, marked one saved Asset

Why you need this

How it changes your marketing workflow

Campaign art usually means leaving the app: prompt an image tool in another tab, download the file, re-upload it, and hope you can find it again next month. Generating inside the workspace closes that loop — the output lands in Assets beside the campaign it belongs to, ready to attach without a single export step. And because Local AI drives a CLI you already subscribe to, the marginal cost of another image is nothing.

How it works

From open to result in a few steps

1

Pick your route

Local AI runs on an installed CLI and is not metered per image. API call uses your own provider key; only that route sends the prompt off the device.

2

Describe the image

Write the prompt, then set agent, size, quality and how many outputs. A reference image can seed the generation.

3

Let it run in the background

Jobs are durable — they survive navigating away and app restarts, and History shows live progress with a Cancel button.

4

Use the result

Completed outputs are ordinary Assets. Download, Open in Assets, or Use as reference to seed the next generation.

Without 1MarketingTool

The old, fragmented way vs. one local app

The hard way

# need a campaign image

- open an image SaaS

- prompt, download

- re-upload to the app

- lose the file next month

The 1MarketingTool way

Design Studio → Image Generation

→ prompt on a CLI you already pay for

→ saved straight to Assets

# no tab, no export, no re-upload

Key capabilities

Everything included with Image Generation

Generate model-native images from a prompt or a reference asset

Route through an installed local CLI or your own provider API key

Separate Generate and History tabs with live job progress

Durable jobs that survive navigation and app restarts

Valid results saved immediately to the local asset library

Refuse an image-incapable CLI up front and name one that works instead

Run again, Use as reference, Download, or Open in Assets from any completed job

Why it matters

The payoff of having content machine built into your workspace

No export round trip

Results are ordinary Assets in the same workspace as the campaign that needs them.

Nothing metered per image

The Local AI route runs on a CLI subscription you already hold, so extra attempts cost nothing.

Fails fast, not late

Picking a CLI with no image model is refused immediately with the reason, rather than after a full run.

Private on the local route

The prompt only leaves the machine when you deliberately choose the API route.

Ready to run your marketing locally?

Download 1MarketingTool and use Image Generation alongside 72 other features, all in one app.

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