# Text to Image Generator (`datastorm/text-to-image`) Actor

Transform your text descriptions into stunning images using the power of FLUX AI. This versatile actor generates high-quality images from text prompts, perfect for content creators, designers, and developers who need quick, AI-generated visuals.

- **URL**: https://apify.com/datastorm/text-to-image.md
- **Developed by:** [Datastorm](https://apify.com/datastorm) (community)
- **Categories:** AI, Integrations, Automation
- **Stats:** 531 total users, 0 monthly users, 100.0% runs succeeded, 15 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Text-to-Image Generator

Generates images from text descriptions using the FLUX ai image generator. This actor takes a text prompt and optional parameters to generate customized images, returning them as base64-encoded data.

### Features

- Generate images from text descriptions
- Customize image dimensions (64x64 to 2048x2048 pixels)
- Optional AI prompt enhancement
- Returns base64-encoded images
- Stores results in Apify dataset

### Input Parameters

The actor accepts the following input parameters via the input schema:

```json
{
    "prompt": "A beautiful sunset over mountains",
    "width": 1024,
    "height": 768,
    "enhance": true
}
```

| Parameter | Type | Description | Default |
|-----------|------|-------------|---------|
| `prompt` | string | The text description of the image you want to generate | (Required) |
| `width` | integer | Width of the generated image in pixels (64-2048) | 1024 |
| `height` | integer | Height of the generated image in pixels (64-2048) | 1024 |
| `enhance` | boolean | Whether to enhance the prompt using AI | true |

### Output

The actor stores its results in the default dataset. Each result contains:

```json
{
    "prompt": "Original text prompt",
    "image": "data:image/jpeg;base64,..."
}
```

The image is returned as a base64-encoded data URL that can be directly used in HTML `<img>` tags or decoded back to binary data.

# Actor input Schema

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

The text description of the image you want to generate

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

Width of the generated image in pixels

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

Height of the generated image in pixels

## `enhance` (type: `boolean`):

Whether to enhance the prompt using AI

## Actor input object example

```json
{
  "prompt": "A beautiful sunset over mountains",
  "width": 1024,
  "height": 1024,
  "enhance": true
}
```

# 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 beautiful sunset over mountains"
};

// Run the Actor and wait for it to finish
const run = await client.actor("datastorm/text-to-image").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 beautiful sunset over mountains" }

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

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 beautiful sunset over mountains"
}' |
apify call datastorm/text-to-image --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datastorm/text-to-image"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/GqzQFFeLfhdqXMaQG/builds/meKICdI9RUoBlks4e/openapi.json