Meta Muse Image

This documentation is valid for the following list of our models:

• meta/muse-image

Try in Playground

Model Overview

Meta Muse Image is a text-to-image model with faithful instruction-following and exceptional visual fidelity — fine details like text, plots, and QR codes render accurately.

Create AI/ML API Key

How to make the first API call

1️⃣ Required setup (don’t skip this) ▪ Create an account: Sign up on the AI/ML API website (if you don’t have one yet). ▪ Generate an API key: In your account dashboard, create an API key and make sure it’s enabled in the UI.

2️ Copy the code example At the bottom of this page, pick the snippet for your preferred programming language (Python / Node.js) and copy it into your project.

3️ Update the snippet for your use case ▪ Insert your API key: replace <YOUR_AIMLAPI_KEY> with your real AI/ML API key. ▪ Select a model: set the model field to the model you want to call. ▪ Provide input: fill in the request input field(s) shown in the example.

4️ (Optional) Tune the request See the API schema below for optional generation settings.

5️ Run your code Run the updated code in your development environment.

For a detailed walkthrough, use our Quickstart guide.

API Schema

post

Body

modelstring · enumRequiredPossible values:

promptstringRequired

The text prompt describing the content, style, or composition of the image to be generated.

num_imagesnumber · min: 1 · max: 10Optional

The number of images to generate.

Default: 1

aspect_ratiostring · enumOptional

The aspect ratio of the generated image. If omitted, Muse chooses the output dimensions automatically based on the prompt.

Possible values:

output_formatstring · enumOptional

The format of the generated image.

Default: webpPossible values:

Responses

200

Successful response.

application/json

post/v1/images/generations

curl --request POST \
  --url 'https://api.aimlapi.com/v1/images/generations' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{"model": "meta/muse-image", "prompt": "Describe what you want the model to generate."}'

200

Successful response.

{
  "data": [
    {
      "url": "https://cdn.aimlapi.com/generations/hedgehog/1749730923700-29fe35d2-4aef-4bc5-a911-6c39884d16a8.png",
      "b64_json": null
    }
  ],
  "meta": {
    "usage": {
      "credits_used": 120000,
      "usd_spent": 0.06
    }
  }
}

Code Example

Python

import requests

response = requests.post(
    "https://api.aimlapi.com/v1/images/generations",
    headers={
        "Authorization": "Bearer <YOUR_AIMLAPI_KEY>",
        "Content-Type": "application/json",
    },
    json={'model': 'meta/muse-image', 'prompt': 'Describe what you want the model to generate.'},
)

print(response.json())

JavaScript

const response = await fetch('https://api.aimlapi.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
  "model": "meta/muse-image",
  "prompt": "Describe what you want the model to generate."
}),
});

console.log(await response.json());

Response

{
  "data": [
    {
      "url": "https://cdn.aimlapi.com/generations/hedgehog/1749730923700-29fe35d2-4aef-4bc5-a911-6c39884d16a8.png",
      "b64_json": null
    }
  ],
  "meta": {
    "usage": {
      "credits_used": 120000,
      "usd_spent": 0.06
    }
  },
  "model": "meta/muse-image"
}