AI Image API — Best Model for Every Job

What Is an AI Image API?

An AI image API turns a text prompt or an existing image into new image output through a REST endpoint. No local GPU, self-hosted model, or separate vendor integration is required. Different models lead on different jobs: raw quality, price, editing, character consistency, or open-weights control.

Muapi exposes 500+ image models through the same request-and-poll flow: one API key, pay-per-generation pricing, and the freedom to switch models per request.

Key Capabilities

Representative Image Model Comparison

Prices and supported parameters vary by model. Check each model's Playground schema before submitting production requests.

How to Call the AI Image API

1. Choose a model. Select a model by quality, value, editing, character consistency, open-weights, or other requirements.
2. Host your inputs. Upload source images through POST /api/v1/upload_file, or use publicly reachable URLs when the model accepts image input.
3. Submit the request. Call POST /api/v1/{model-slug} with a prompt and the source-image or model-specific fields supported by that endpoint.
4. Poll and persist the result. Check GET /api/v1/predictions/{request_id}/result until status is completed, then download the image to your own storage.

curl -X POST https://api.muapi.ai/api/v1/gpt-image-2-text-to-image \
  -H "Content-Type: application/json" \
  -H "x-api-key: YOUR_API_KEY" \
  -d '{
    "prompt": "a neon-lit night market street in Tokyo, photoreal"
  }'

import requests

response = requests.post(
    "https://api.muapi.ai/api/v1/gpt-image-2-text-to-image",
    headers={"x-api-key": "YOUR_API_KEY"},
    json={"prompt": "a neon-lit night market street in Tokyo, photoreal"},
)
request_id = response.json()["request_id"]

result = requests.get(
    f"https://api.muapi.ai/api/v1/predictions/{request_id}/result",
    headers={"x-api-key": "YOUR_API_KEY"},
)
print(result.json())

Frequently Asked Questions