# AI Image Generator — Text to Image (`goat255/ai-image-generator`) Actor

Turn text prompts into images. Provide one or many prompts and get a public image URL for each generated image.

- **URL**: https://apify.com/goat255/ai-image-generator.md
- **Developed by:** [Goutam Soni](https://apify.com/goat255) (community)
- **Categories:** AI
- **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 image generateds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## AI Image Generator — Text to Image

Turn text prompts into images. Give it one or many prompts and it generates an image for each, stores it, and returns a public image URL you can use anywhere.

### What it does

For every prompt you provide, the actor:

1. Generates an image from the text using your chosen model and dimensions.
2. Stores the image in the run's key-value store.
3. Returns a public URL to that image, plus the settings used.

Great for bulk cover art, thumbnails, backgrounds, mockups, product concepts, social posts, or feeding generated images into a downstream automation.

### Example

| Input | Value |
|---|---|
| Prompts | `a red fox in a snowy forest, cinematic lighting` |
| Width | `1024` |
| Height | `1024` |
| Model | `flux` |

### Input

| Field | Type | Default | Notes |
|---|---|---|---|
| `prompts` | array of strings | — | One or more text prompts. A newline-separated string also works. |
| `width` | integer | `1024` | Image width in pixels (64–2048) |
| `height` | integer | `1024` | Image height in pixels (64–2048) |
| `model` | string | `flux` | `flux` (higher quality) or `turbo` (faster) |
| `seed` | integer | — | Optional. Set for reproducible results; leave empty for a fresh image each run |
| `maxConcurrency` | integer | `3` | How many images to generate in parallel (1–8) |

### Output

One row per prompt:

| Field | Description |
|---|---|
| `prompt` | The text prompt used |
| `imageUrl` | Public URL to the generated image |
| `imageKey` | Storage key of the image record |
| `model` | Model used |
| `width`, `height` | Image dimensions |
| `seed` | Seed used, if any |

On a failed prompt the row instead contains `prompt` and `error`.

### Pricing

Pay-per-result: you are charged only for each image that is successfully generated and stored. Failed prompts are free.

### Tips

- Descriptive prompts produce better images. Include subject, style, lighting, and mood, for example `a cozy coffee shop interior, warm tones, soft morning light`.
- Set a `seed` to reproduce the exact same image on a later run.
- Use `turbo` for speed, `flux` for quality.

**Found this useful?** [Leave a quick review](https://apify.com/goat255/ai-image-generator/reviews). It takes a few seconds and it genuinely helps other people find the actor.

# Actor input Schema

## `prompts` (type: `array`):

One or more text prompts to generate images from. You can also paste a newline-separated list.

## `width` (type: `integer`):

Width of the generated image in pixels.

## `height` (type: `integer`):

Height of the generated image in pixels.

## `model` (type: `string`):

Which generation model to use.

## `seed` (type: `integer`):

Optional seed for reproducible results. Leave empty for a random image each run.

## `maxConcurrency` (type: `integer`):

How many images to generate in parallel.

## Actor input object example

```json
{
  "prompts": [
    "a red fox in a snowy forest, cinematic lighting"
  ],
  "width": 1024,
  "height": 1024,
  "model": "flux",
  "maxConcurrency": 3
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "prompts": [
        "a red fox in a snowy forest, cinematic lighting",
        "a cozy coffee shop interior, warm tones"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("goat255/ai-image-generator").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "prompts": [
        "a red fox in a snowy forest, cinematic lighting",
        "a cozy coffee shop interior, warm tones",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("goat255/ai-image-generator").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "prompts": [
    "a red fox in a snowy forest, cinematic lighting",
    "a cozy coffee shop interior, warm tones"
  ]
}' |
apify call goat255/ai-image-generator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=goat255/ai-image-generator",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/2c72gTgbQvIp4aDXd/builds/fpK8leotdMWWImtNr/openapi.json