# AI Face Generator (`easyapi/ai-face-generator`) Actor

Effortlessly creates, processes, and stores diverse HD facial images. Perfect for designers, developers, researchers, and creatives needing unique, royalty-free face images for projects, datasets, or artistic inspiration. 🤖🎨🚀

- **URL**: https://apify.com/easyapi/ai-face-generator.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** AI, Social media, Integrations
- **Features:** Full permissions
- **Stats:** 29 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $9.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## 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

## AI Face Generator 🤖🖼️

Generate unique AI-created faces effortlessly! This Actor fetches, processes, and stores high-quality, diverse facial images for a wide range of applications.

### 🌟 Features

- 🎭 Generate unique HD AI-created faces
- ✂️ Automatic image processing and optimization
- 🚀 Efficient batch processing
- 📦 Automatic storage in Apify Key-Value store

### 💡 Use Cases

- 🎨 Design & UI/UX: Create diverse user avatars or profile pictures for mockups and prototypes
- 🎬 Media & Entertainment: Generate background characters for animations, games, or virtual worlds
- 🧪 Research & AI Training: Build datasets for facial recognition, emotion detection, or demographic studies
- 🏫 Education: Illustrate concepts in psychology, sociology, or computer vision courses
- 📱 App Development: Populate apps with realistic user profiles for testing and demonstrations
- 🖼️ Art Projects: Inspire digital art creations or explore themes of identity and diversity
- 🎭 Character Development: Create reference images for writers, actors, or costume designers

### 🛠️ Usage

1. Set the desired number of images in the input
2. Run the Actor
3. Retrieve processed images from the Key-Value store

### 📊 Output

- Processed images stored in the Key-Value store
- Image URL

### 🤝 Support

For issues, feature requests, or questions, please open an issue in the Actor.

Happy face generating! 😊🎨

#### Input Example

A full explanation of an input example in JSON.

```
{
  "count": 10
}
```

#### Output sample

The results will be wrapped into a dataset which you can always find in the **Storage** tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

```
[
  {
    "index": 1,
    "imageUrl": "https://api.apify.com/v2/key-value-stores/HuabinXKdv2fjn6ru/records/ai-face-image-1.jpg"
  },
  {
    "index": 2,
    "imageUrl": "https://api.apify.com/v2/key-value-stores/HuabinXKdv2fjn6ru/records/ai-face-image-2.jpg"
  },
  ...
]
```

# Actor input Schema

## `count` (type: `integer`):

The number of unique AI-generated face images to create

## Actor input object example

```json
{
  "count": 10
}
```

# 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 = {
    "count": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/ai-face-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 = { "count": 10 }

# Run the Actor and wait for it to finish
run = client.actor("easyapi/ai-face-generator").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 '{
  "count": 10
}' |
apify call easyapi/ai-face-generator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/ai-face-generator"
        }
    }
}
```

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/znPMtdSjxuFoPFprE/builds/906tCDzrJireKhAIw/openapi.json