Artbreeder AI Image Creator avatar

Artbreeder AI Image Creator

Try for free

This Actor is paid per event

Go to Store
Artbreeder AI Image Creator

Artbreeder AI Image Creator

muhammetakkurtt/artbreeder-ai-image-creator
Try for free

This Actor is paid per event

Transform text prompts into stunning AI-generated images with Artbreeder's powerful Text-to-Image API . Create high-quality visuals using Flux Schnell or SDXL Lightning models with customizable dimensions, quality settings, and NSFW detection. Perfect for designers, marketers, and content creators.

Developer
Maintained by Community

Actor Metrics

  • 2 monthly users

  • 5.0 / 5 (1)

  • 2 bookmarks

  • >99% runs succeeded

  • Created in Mar 2025

  • Modified 4 days ago

You can access the Artbreeder AI Image Creator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=muhammetakkurtt/artbreeder-ai-image-creator"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1fa

Using Artbreeder AI Image Creator via Model Context Protocol (MCP) server

MCP server lets you use Artbreeder AI Image Creator within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Artbreeder AI Image Creator Actor with the provided input.

1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2  "jsonrpc": "2.0",
3  "id": 1,
4  "method": "tools/call",
5  "params": {
6    "arguments": {
7      "prompts": [
8            "A beautiful sunset over the mountains",
9            "A futuristic cityscape",
10            "A cosmic tree with stars and galaxies hanging from its branches",
11            "A glass bridge spanning across two floating mountains",
12            "Mermaids singing in an underwater concert"
13      ]
14},
15    "name": "muhammetakkurtt/artbreeder-ai-image-creator"
16  }
17}'

The response should be: Accepted. You should received response via SSE (JSON) as:

1event: message
2data: {
3  "result": {
4    "content": [
5      {
6        "type": "text",
7        "text": "ACTOR_RESPONSE"
8      }
9    ]
10  }
11}

Configure local MCP Server via standard input/output for Artbreeder AI Image Creator

You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:

1{
2  "mcpServers": {
3    "actors-mcp-server": {
4      "command": "npx",
5      "args": [
6        "-y",
7        "@apify/actors-mcp-server",
8        "--actors",
9        "muhammetakkurtt/artbreeder-ai-image-creator"
10      ],
11      "env": {
12        "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13      }
14    }
15  }
16}

You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.

To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.