Name: P-Image Upscale API: Fast AI Image Upscaler up to 8x
Brand: magicapi
SKU: api-magicapi-fastest-image-upscaler-prunaai-p-image-upscale
Availability: InStock
Author: API Market

Shashank Agarwal

# 🔍 Image Upscaler API (Pruna AI P-Image Upscale)

## Overview
P-Image Upscale is an image upscaler from Pruna AI. Its developer describes it as the fastest image upscaler in the world (under 1 second), supporting outputs up to 128 MP.

Send an `image` and choose how to upscale it: `upscale_mode` `target` (default) scales to a fixed size in megapixels set by `target`, and `factor` multiplies each side by `factor`. Optional detail and realism enhancement can be switched on. Each request returns the URL of one image.

## Features
- **Target mode**: scale to a fixed size of 1 to 128 megapixels with `target` (default 4).
- **Factor mode**: multiply each side by 1 to 8 with `factor` (default 2); the output is capped at 128 MP.
- **Detail enhancement**: `enhance_details` sharpens fine textures and small details. It may raise contrast and add minor deviations from the original.
- **Realism enhancement**: `enhance_realism` improves realism and is recommended for AI-generated images. It may deviate more from the original.
- **Output format**: `jpg` (default), `webp` or `png`, with `output_quality` 0 to 100 for jpg and webp.

## Use Cases
1. **Print and large displays**: enlarge photos and artwork to a set megapixel size.
2. **AI-generated images**: upscale generated images, with `enhance_realism` for a more natural look.
3. **E-commerce product photos**: bring small supplier images up to marketplace size requirements.
4. **Image pipelines**: an upscaling step after generation or editing, with predictable output sizes in target mode.

## Visual Examples
### Example Input
![Example input image for P-Image Upscale](https://blog.api.market/wp-content/uploads/2026/10/p-image-upscale-input-api-market.jpg)

The example upscales this image in `target` mode to 4 megapixels, with JPG output at quality 50 and no enhancement.

```json
{
  "image": "https://blog.api.market/wp-content/uploads/2026/10/p-image-upscale-input-api-market.jpg",
  "no_op": false,
  "factor": 2,
  "target": 4,
  "upscale_mode": "target",
  "output_format": "jpg",
  "output_quality": 50,
  "enhance_details": false,
  "enhance_realism": false
}
```

### Example Output
![P-Image Upscale output: the example image upscaled to 4 megapixels](https://blog.api.market/wp-content/uploads/2026/10/p-image-upscale-output-mpvshdg0-api-market.jpg)

## Input Parameters
| Field | Type | Required | Default | Allowed values | Description |
| --- | --- | --- | --- | --- | --- |
| `image` | string (URL) | Yes | none |  | Image URL (jpeg, png, gif or webp) to upscale |
| `upscale_mode` | string | No | `target` | `target`, `factor` | Upscale mode. target scales to a fixed megapixel resolution. factor multiplies each side by the given factor. |
| `target` | integer | No | `4` | `1` to `128` | Target resolution in megapixels (used when upscale_mode is target). |
| `factor` | number | No | `2` | `1` to `8` | Scaling factor applied to each side of the image (used when upscale_mode is factor). Output capped at 128 MP. |
| `enhance_details` | boolean | No | `false` |  | Enhance fine textures and small details. May increase contrast and introduce minor deviations from the original image. |
| `enhance_realism` | boolean | No | `false` |  | Improve realism. May deviate more from the original image. Recommended for AI-generated images. |
| `output_format` | string | No | `jpg` | `webp`, `jpg`, `png` | Format of the output image |
| `output_quality` | integer | No | `80` | `0` to `100` | Quality when saving the output image, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for png outputs. |
| `disable_safety_checker` | boolean | No | `false` |  | Disable the safety checker for generated images. |
| `no_op` | boolean | No | `false` |  | Deprecated and ignored. Predictions always run normally. |

## Pricing
- **Pay As You Go (PAYG) pricing**: you only pay for what you use.
- **Price**: $0.0063 per API unit.
- **1 API unit = 1 output image at the base rate**, multiplied by the factor for the output size bracket:

| Output size bracket | Factor | Price per image |
| --- | --- | --- |
| 1-4MP | 1 | $0.0063 |
| 4-8MP | 2 | $0.0126 |
| 8-16MP | 4 | $0.0252 |
| 16-32MP | 8 | $0.0504 |
| 32-64MP | 12 | $0.0756 |
| 64-128MP | 24 | $0.1512 |

- The bracket is the one the model reports for the request. It follows the requested `target` megapixels in target mode, or the upscaled output size in factor mode. If no bracket is reported, the request is billed at factor 24 ($0.1512).
- With the defaults (`upscale_mode` `target`, `target` 4) a request falls in the 1-4MP bracket and costs $0.0063.
- **Example cost**: the example targeted 4 megapixels, which the model reported as the 1-4MP bracket: 1 API unit = **$0.0063**.
- **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/fastest-image-upscaler-prunaai-p-image-upscale`

### 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/fastest-image-upscaler-prunaai-p-image-upscale/predictions" \
  -H "Content-Type: application/json" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY" \
  -d '{
    "version": "prunaai/p-image-upscale",
    "input": {
      "image": "https://blog.api.market/wp-content/uploads/2026/10/p-image-upscale-input-api-market.jpg",
      "no_op": false,
      "factor": 2,
      "target": 4,
      "upscale_mode": "target",
      "output_format": "jpg",
      "output_quality": 50,
      "enhance_details": false,
      "enhance_realism": false
    }
  }'
```

Response (201 Created):
```json
{
  "id": "mpvshdg0dhrmy0d1c6nt4zarr0",
  "version": "prunaai/p-image-upscale",
  "status": "starting",
  "created_at": "2026-10-22T03:32:39.313Z"
}
```

#### Check Prediction Status
```bash
curl -X GET "https://prod.api.market/api/v1/magicapi/fastest-image-upscaler-prunaai-p-image-upscale/predictions/{id}" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY"
```

Response when the prediction has finished (200 OK):
```json
{
  "id": "mpvshdg0dhrmy0d1c6nt4zarr0",
  "status": "succeeded",
  "output": "https://blog.api.market/wp-content/uploads/2026/10/p-image-upscale-output-mpvshdg0-api-market.jpg",
  "error": null,
  "created_at": "2026-10-22T03:32:39.313Z",
  "started_at": "2026-10-22T03:32:39.326Z",
  "completed_at": "2026-10-22T03:32:41.119Z"
}
```

`output` is a single URL string pointing to the upscaled image.

### 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 `image`, a `target` outside 1 to 128, or a `factor` outside 1 to 8.
- **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/fastest-image-upscaler-prunaai-p-image-upscale";

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: "prunaai/p-image-upscale", 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/p-image-upscale-input-api-market.jpg",
    "no_op": false,
    "factor": 2,
    "target": 4,
    "upscale_mode": "target",
    "output_format": "jpg",
    "output_quality": 50,
    "enhance_details": false,
    "enhance_realism": false
  }).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/fastest-image-upscaler-prunaai-p-image-upscale"


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": "prunaai/p-image-upscale", "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")


output = create_and_wait_for_prediction({
    "image": "https://blog.api.market/wp-content/uploads/2026/10/p-image-upscale-input-api-market.jpg",
    "no_op": False,
    "factor": 2,
    "target": 4,
    "upscale_mode": "target",
    "output_format": "jpg",
    "output_quality": 50,
    "enhance_details": False,
    "enhance_realism": False
})
print(output)
```

## FAQ
- **Should I use `target` or `factor` mode?**
  - Use `target` when you need a known output size in megapixels; the price is then known in advance. Use `factor` to scale each side by a fixed amount (1 to 8); the output is capped at 128 MP.
- **How large can the output be?**
  - Up to 128 megapixels.
- **Which price bracket applies to my request?**
  - The bracket of the output size: in target mode it follows `target` (for example `target` 10 falls in 8-16MP at $0.0252), in factor mode it follows the upscaled size.
- **Does `output_quality` affect PNG files?**
  - No. It applies to `jpg` and `webp` only.
- **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`.

## 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.


Upscale images to a target size in megapixels or by up to 8x per side, up to 128 MP, with Pruna AI P-Image Upscale. From $0.0063 per image, pay as you go.