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Moonez.ai

Image-to-Image

Create an asynchronous image-to-image generation with gemini-2.5-flash-image (fast model) from URLs. Returns 202 Accepted with a job_id — poll GET /jobs/{job_id} until the job is done or failed.

POST /api/v1/generations

Headers

Section titled “Headers”
Authorization string required

Bearer <YOUR_API_KEY>. See Authentication.

Idempotency-Key string

Optional. Replaying the same key returns the original job_id without creating a duplicate job or charging again.

Body

Section titled “Body”
Model name, e.g. `gemini-2.5-flash-image`. The model decides the output modality from the prompt: image models can return an image, text, or both (transparent API). Generation prompt. Minimum length 1. Null bytes are stripped. Output aspect ratio. gemini-2.5-flash-image supports a subset — see [Aspect ratios](/concepts/aspect-ratios). Up to 100 image URLs. Each must start with `http://` or `https://`. Webhook URL called once the job reaches a terminal state. Overrides the account webhook for this request. See [Webhooks](/concepts/webhooks).

Response

Section titled “Response”

Returns 202 Accepted.

job_id string

UUID of the created job.

status string

Always queued on creation.

status_url string

Relative path to poll for status and result.

Terminal window
curl -s -X POST https://api.moonez.ai/api/v1/generations \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.5-flash-image",
    "prompt": "make it look like a watercolor painting",
    "aspect_ratio": "1:1",
    "input_images_urls": [
      "https://example.com/photo-1.jpg",
      "https://example.com/photo-2.jpg"
    ]
  }'
import requests


resp = requests.post(
    "https://api.moonez.ai/api/v1/generations",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={
        "model": "gemini-2.5-flash-image",
        "prompt": "make it look like a watercolor painting",
        "aspect_ratio": "1:1",
        "input_images_urls": [
            "https://example.com/photo-1.jpg",
            "https://example.com/photo-2.jpg",
        ],
    },
)
print(resp.json())
const resp = await fetch("https://api.moonez.ai/api/v1/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gemini-2.5-flash-image",
    prompt: "make it look like a watercolor painting",
    aspect_ratio: "1:1",
    input_images_urls: [
      "https://example.com/photo-1.jpg",
      "https://example.com/photo-2.jpg",
    ],
  }),
});
console.log(await resp.json());
{
  "job_id": "0193a7f2-1c4a-7e0b-9b3a-2f1d8c6e4a55",
  "status": "queued",
  "status_url": "/api/v1/jobs/0193a7f2-1c4a-7e0b-9b3a-2f1d8c6e4a55"
}