Name: Mirage Ghibli API: Turn Photos into Ghibli-Style Art
Brand: magicapi
SKU: api-magicapi-ghiblify-any-image-api-aaronaftab-mirage-ghibli
Availability: InStock
Author: API Market

Shashank Agarwal

# 🎨 Ghibli-Style Image Transformation API (aaronaftab Mirage Ghibli)

## Overview
Mirage Ghibli by aaronaftab turns a photo into a Ghibli-style anime image. It is a LoRA model: send a `prompt` and an optional `image`, and it returns Ghibli-style images. Its developer describes it as a way to "Ghiblify any image".

With an `image`, the model works in image-to-image mode and `prompt_strength` controls how far the result moves away from the original. Add a `mask` for inpainting. Without an image, it generates a new image from the prompt alone. Each request returns a list of 1 to 4 image URLs.

## Features
- **Photo to Ghibli style**: pass a photo as `image` with a style prompt such as `GHBLI anime style photo`.
- **Text-to-image**: leave out `image` to generate a new image from the prompt.
- **Inpainting**: pass a `mask` together with `image` to repaint only part of the picture.
- **Two base models**: `dev` (default, best with around 28 steps) or `schnell` (needs only 4 steps).
- **Fast mode**: `go_fast` runs an fp8 quantized model for quicker results; turn it off to run in bf16.
- **Aspect ratios**: `1:1` (default), `16:9`, `21:9`, `3:2`, `2:3`, `4:5`, `5:4`, `3:4`, `4:3`, `9:16`, `9:21`, or `custom` with `width` and `height` (256 to 1440).
- **Up to 4 images per request** with `num_outputs`, as `webp`, `jpg` or `png`.
- **Extra LoRA**: stack a second LoRA with `extra_lora` and `extra_lora_scale`.

## Use Cases
1. **Profile pictures and avatars**: turn a portrait into an anime-style illustration.
2. **Social media content**: restyle travel, pet or family photos in a hand-drawn animation look.
3. **Storyboards and concept art**: generate Ghibli-style scenes from a text prompt.
4. **Partial restyling**: repaint a masked region of a photo while keeping the rest.

## Visual Examples
### Example Input
Prompt: "GHBLI anime style photo"

Input image:

![Mirage Ghibli example input: the source photo sent as image](https://blog.api.market/wp-content/uploads/2026/10/mirage-ghibli-input-api-market.jpeg)

Settings: `model` `dev`, `go_fast` `true`, `prompt_strength` `0.77`, `guidance_scale` `10`, `num_inference_steps` `38`, `aspect_ratio` `1:1`, `megapixels` `1`, `num_outputs` `1`, `output_format` `webp`, `output_quality` `80`, `lora_scale` `1`, `extra_lora_scale` `1`.

### Example Output
![Mirage Ghibli example output: the input photo redrawn in a Ghibli anime style](https://blog.api.market/wp-content/uploads/2026/10/mirage-ghibli-output-k25e1sg4-api-market.webp)

## Input Parameters
| Field | Type | Required | Default | Allowed values | Description |
| --- | --- | --- | --- | --- | --- |
| `prompt` | string | Yes |  |  | Prompt for the generated image. Including the trigger word used in training (as `GHBLI` in the example) makes the style more likely to appear |
| `image` | string (URL) | No | none |  | Input image for image-to-image or inpainting mode. If provided, `aspect_ratio`, `width` and `height` are ignored |
| `mask` | string (URL) | No | none |  | Image mask for inpainting mode. If provided, `aspect_ratio`, `width` and `height` are ignored |
| `aspect_ratio` | string | No | `1:1` | `1:1`, `16:9`, `21:9`, `3:2`, `2:3`, `4:5`, `5:4`, `3:4`, `4:3`, `9:16`, `9:21`, `custom` | Aspect ratio of the generated image. `custom` uses `width` and `height` and runs in bf16 mode |
| `height` | integer | No | none | 256 to 1440 | Height of the generated image. Only used when `aspect_ratio` is `custom`. Rounded to the nearest multiple of 16. Not compatible with `go_fast` |
| `width` | integer | No | none | 256 to 1440 | Width of the generated image. Only used when `aspect_ratio` is `custom`. Rounded to the nearest multiple of 16. Not compatible with `go_fast` |
| `prompt_strength` | number | No | `0.8` | 0 to 1 | Prompt strength in image-to-image mode. 1.0 fully replaces the information in the input image |
| `model` | string | No | `dev` | `dev`, `schnell` | Base model. `dev` works best with around 28 inference steps, `schnell` needs only 4 |
| `num_outputs` | integer | No | `1` | 1 to 4 | Number of images to generate |
| `num_inference_steps` | integer | No | `28` | 1 to 50 | Number of denoising steps. More steps can give more detail but take longer |
| `guidance_scale` | number | No | `3` | 0 to 10 | Guidance scale for the diffusion process. Lower values can give more realistic images. Good values to try are 2, 2.5, 3 and 3.5 |
| `seed` | integer | No | none |  | Random seed for reproducible generation |
| `output_format` | string | No | `webp` | `webp`, `jpg`, `png` | Format of the output images |
| `output_quality` | integer | No | `80` | 0 to 100 | Quality when saving the output images. 100 is best. Not used for `png` |
| `disable_safety_checker` | boolean | No | `false` |  | Disable the safety checker for generated images |
| `go_fast` | boolean | No | `false` |  | Run with a model optimized for speed (fp8 quantized). Set to `false` to run in bf16 |
| `megapixels` | string | No | `1` | `1`, `0.25` | Approximate number of megapixels of the generated image |
| `lora_scale` | number | No | `1` | -1 to 3 | How strongly the main LoRA is applied. Values between 0 and 1 work well for base inference; with `go_fast` a 1.5x multiplier is applied to this value |
| `extra_lora` | string | No | none |  | Additional LoRA weights to load: a Hugging Face path (`huggingface.co/<owner>/<model-name>`), a CivitAI path (`civitai.com/models/<id>[/<model-name>]`) or a link to a `.safetensors` file |
| `extra_lora_scale` | number | No | `1` | -1 to 3 | How strongly the extra LoRA is applied. Values between 0 and 1 work well for base inference; with `go_fast` a 1.5x multiplier is applied to this value |

## Pricing
- **Pay As You Go (PAYG) pricing**: you only pay for what you use.
- **Price**: $0.0085 per API unit.
- **1 API unit = 1 request with up to 5 seconds of processing.** A request that takes longer is billed one more unit for each started 5-second block of processing time.
- **Example cost**: the example request above took 8.4 seconds of processing, which is 2 started 5-second blocks, so it cost 2 units = $0.017.
- More steps, more outputs or the `dev` model take longer and can use more units; `go_fast` and `schnell` are quicker.
- **Failed or cancelled predictions are not billed.**
- **GET requests to check prediction status** are free and don't count toward API unit usage.
- **No monthly subscription fee.**

## API Documentation

### Base URL
All API requests go to: `https://prod.api.market/api/v1/magicapi/ghiblify-any-image-api-aaronaftab-mirage-ghibli`

### Authentication
Send your api.market API key in the `x-api-market-key` header:
```
x-api-market-key: YOUR_API_MARKET_KEY
```

### Asynchronous Processing
**IMPORTANT**: This API is asynchronous. The flow is:
1. Send a POST request to `/predictions`. A successful request returns **201 Created** with a prediction `id` and a `status` of `starting` or `processing`.
2. Poll GET `/predictions/{id}` with that ID.
3. Keep polling while `status` is `starting` or `processing`.
4. Stop when `status` is `succeeded` (read `output`), `failed` or `canceled` (read `error`).

A polling interval of 1 second and an overall timeout of 600 seconds (10 minutes) work well.

### Endpoints

#### Create a Prediction
```bash
curl -X POST "https://prod.api.market/api/v1/magicapi/ghiblify-any-image-api-aaronaftab-mirage-ghibli/predictions" \
  -H "Content-Type: application/json" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY" \
  -d '{
    "version": "166efd159b4138da932522bc5af40d39194033f587d9bdbab1e594119eae3e7f",
    "input": {
      "image": "https://blog.api.market/wp-content/uploads/2026/10/mirage-ghibli-input-api-market.jpeg",
      "model": "dev",
      "prompt": "GHBLI anime style photo",
      "go_fast": true,
      "lora_scale": 1,
      "megapixels": "1",
      "num_outputs": 1,
      "aspect_ratio": "1:1",
      "output_format": "webp",
      "guidance_scale": 10,
      "output_quality": 80,
      "prompt_strength": 0.77,
      "extra_lora_scale": 1,
      "num_inference_steps": 38
    }
  }'
```

Response (201 Created):
```json
{
  "id": "k25e1sg4bhrmt0d1cchvvm5td0",
  "version": "166efd159b4138da932522bc5af40d39194033f587d9bdbab1e594119eae3e7f",
  "status": "starting",
  "created_at": "2026-10-22T10:23:21.861Z"
}
```

#### Check Prediction Status
```bash
curl -X GET "https://prod.api.market/api/v1/magicapi/ghiblify-any-image-api-aaronaftab-mirage-ghibli/predictions/{id}" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY"
```

Response when the prediction has finished (200 OK):
```json
{
  "id": "k25e1sg4bhrmt0d1cchvvm5td0",
  "status": "succeeded",
  "output": [
    "https://blog.api.market/wp-content/uploads/2026/10/mirage-ghibli-output-k25e1sg4-api-market.webp"
  ],
  "error": null,
  "created_at": "2026-10-22T10:23:21.861Z",
  "started_at": "2026-10-22T10:23:22.570Z",
  "completed_at": "2026-10-22T10:23:30.984Z"
}
```

`output` is a list of image URLs, one per generated image (`num_outputs`).

### Status Codes
- **201 Created**: prediction created (POST `/predictions`). This is the normal success response.
- **200 OK**: prediction details returned (GET `/predictions/{id}`).
- **400 Bad Request**: invalid input, for example a missing `prompt` or a `num_outputs` above 4.
- **401 Unauthorized**: missing or invalid API key.
- **404 Not Found**: no prediction with that ID.
- **429 Too Many Requests**: rate limit exceeded.
- **500 Internal Server Error** or **503 Service Unavailable**: temporary server problem; retry later.

## Rate Limits
All plans allow 10 requests per second. Requests above that return `429 Too Many Requests`; back off before retrying and honour any `Retry-After` header. Polling a prediction with GET is free but still counts toward the per-second limit, so poll every 1 to 5 seconds rather than in a tight loop.

## Error Handling
- Check the HTTP status code of every request and read the response body for the error message.
- A prediction can also end with `status` set to `failed`; the `error` field then explains why. Failed predictions are not billed.
- Retry 429, 500 and 503 responses with exponential backoff. Fix the input before retrying a 400.

## Implementation Guide
### Example Code

#### JavaScript
```javascript
const apiKey = "YOUR_API_MARKET_KEY";
const baseUrl = "https://prod.api.market/api/v1/magicapi/ghiblify-any-image-api-aaronaftab-mirage-ghibli";

async function createAndWaitForPrediction(input) {
  const response = await fetch(`${baseUrl}/predictions`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "x-api-market-key": apiKey
    },
    body: JSON.stringify({ version: "166efd159b4138da932522bc5af40d39194033f587d9bdbab1e594119eae3e7f", input })
  });

  if (response.status !== 201) {
    throw new Error(`API error: ${response.status} ${await response.text()}`);
  }

  const prediction = await response.json();
  return pollForResults(prediction.id);
}

const delay = (ms) => new Promise((resolve) => setTimeout(resolve, ms));

async function pollForResults(predictionId) {
  const maxTimeout = 600000;
  const pollInterval = 1000;
  const startTime = Date.now();

  while (Date.now() - startTime < maxTimeout) {
    const response = await fetch(`${baseUrl}/predictions/${predictionId}`, {
      headers: { "x-api-market-key": apiKey }
    });

    if (!response.ok) {
      throw new Error(`API error: ${response.status} ${await response.text()}`);
    }

    const prediction = await response.json();

    if (prediction.status === "succeeded") {
      return prediction.output;
    }

    if (prediction.status === "failed" || prediction.status === "canceled") {
      throw new Error(`Prediction ${prediction.status}: ${prediction.error || "Unknown error"}`);
    }

    await delay(pollInterval);
  }

  throw new Error("Prediction timed out after 10 minutes");
}

createAndWaitForPrediction({
  image: "https://blog.api.market/wp-content/uploads/2026/10/mirage-ghibli-input-api-market.jpeg",
  model: "dev",
  prompt: "GHBLI anime style photo",
  go_fast: true,
  lora_scale: 1,
  megapixels: "1",
  num_outputs: 1,
  aspect_ratio: "1:1",
  output_format: "webp",
  guidance_scale: 10,
  output_quality: 80,
  prompt_strength: 0.77,
  extra_lora_scale: 1,
  num_inference_steps: 38
}).then((output) => console.log(output));
```

#### Python
```python
import time
import requests

API_KEY = "YOUR_API_MARKET_KEY"
BASE_URL = "https://prod.api.market/api/v1/magicapi/ghiblify-any-image-api-aaronaftab-mirage-ghibli"


def create_and_wait_for_prediction(input_data):
    headers = {"Content-Type": "application/json", "x-api-market-key": API_KEY}
    response = requests.post(
        f"{BASE_URL}/predictions",
        headers=headers,
        json={"version": "166efd159b4138da932522bc5af40d39194033f587d9bdbab1e594119eae3e7f", "input": input_data},
    )

    if response.status_code != 201:
        raise Exception(f"API error: {response.status_code} {response.text}")

    return poll_for_results(response.json()["id"])


def poll_for_results(prediction_id):
    max_timeout = 600
    poll_interval = 1
    headers = {"x-api-market-key": API_KEY}
    start_time = time.time()

    while time.time() - start_time < max_timeout:
        response = requests.get(f"{BASE_URL}/predictions/{prediction_id}", headers=headers)

        if response.status_code != 200:
            raise Exception(f"API error: {response.status_code} {response.text}")

        prediction = response.json()

        if prediction["status"] == "succeeded":
            return prediction["output"]

        if prediction["status"] in ("failed", "canceled"):
            raise Exception(f"Prediction {prediction['status']}: {prediction.get('error') or 'Unknown error'}")

        time.sleep(poll_interval)

    raise Exception("Prediction timed out after 10 minutes")


print(create_and_wait_for_prediction({
    "image": "https://blog.api.market/wp-content/uploads/2026/10/mirage-ghibli-input-api-market.jpeg",
    "model": "dev",
    "prompt": "GHBLI anime style photo",
    "go_fast": True,
    "lora_scale": 1,
    "megapixels": "1",
    "num_outputs": 1,
    "aspect_ratio": "1:1",
    "output_format": "webp",
    "guidance_scale": 10,
    "output_quality": 80,
    "prompt_strength": 0.77,
    "extra_lora_scale": 1,
    "num_inference_steps": 38
}))
```

## FAQ
- **Do I need to send an image?**
  - No. Only `prompt` is required. With an `image` the model restyles your photo; without one it generates a new image from the prompt.
- **How do I keep more of my original photo?**
  - Lower `prompt_strength`. At 1.0 the input image is fully replaced; the example uses 0.77.
- **How many images does one request return?**
  - Between 1 and 4, set by `num_outputs` (default 1). `output` is always a list of URLs.
- **How is a request billed?**
  - By processing time: $0.0085 for each started 5-second block. The example took 8.4 seconds and cost $0.017.
- **Is the 201 response from POST an error?**
  - No. 201 Created means the prediction was accepted. Use the returned `id` to poll GET `/predictions/{id}` until `status` is `succeeded`, `failed` or `canceled`.
- **What if my prediction fails?**
  - Failed predictions are not billed. Read the `error` field, adjust the input and try again.

## Contact Us
If you have any questions, reach out to us through the chat on the bottom right of the page. You can also email our support team at hello@magicapi.com.


Turn photos into Ghibli-style anime images with aaronaftab Mirage Ghibli: image-to-image, inpainting and text-to-image, up to 4 images per request.