# AI Image Generator API | Text to Image (`xtech/lightning-ai-image-generator`) Actor

Generate an image from a text prompt and export its saved URL, prompt, and dimensions for creative workflows, prototypes, and automation.

- **URL**: https://apify.com/xtech/lightning-ai-image-generator.md
- **Developed by:** [Xtech](https://apify.com/xtech) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 50 total users, 2 monthly users, 48.5% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / image output

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 API | Text to Image

Turn a written idea into a finished image and receive a saved image link in your run results. Use it in content pipelines, prototypes, and creative automation.

### Pricing

- **$0.01 per generated image**.
- The automatic Actor start event is **$0.00005** per run.
- Example: 10 images cost **$0.10005**.

### What it does

- Generates one image from your text prompt
- Lets you choose a width and height from 576 to 2048 pixels
- Saves the generated image with your run
- Returns the prompt, dimensions, and image link in the dataset

### Get started

Describe the image you want, then choose the dimensions.

```json
{
  "prompt": "A warm sunrise over a quiet mountain lake, cinematic landscape photography",
  "width": 1024,
  "height": 1024
}
```

### Results

Each successful run produces one image and a dataset record containing the original prompt, the chosen dimensions, and a link to the saved file.

For the best results, be specific about the subject, setting, style, lighting, and composition you want.

# Actor input Schema

## `prompt` (type: `string`):

The textual description of the image you want to generate.

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

Width of the generated image (576 to 2048).

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

Height of the generated image (576 to 2048).

## Actor input object example

```json
{
  "prompt": "a high quality photo of a sunrise over the mountains",
  "width": 1024,
  "height": 1024
}
```

# 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 = {
    "prompt": "a high quality photo of a sunrise over the mountains"
};

// Run the Actor and wait for it to finish
const run = await client.actor("xtech/lightning-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 = { "prompt": "a high quality photo of a sunrise over the mountains" }

# Run the Actor and wait for it to finish
run = client.actor("xtech/lightning-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 '{
  "prompt": "a high quality photo of a sunrise over the mountains"
}' |
apify call xtech/lightning-ai-image-generator --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bVNVX0mL2wIbwvcJ1/builds/rSJGXRTBCdsh2hhME/openapi.json