Name: Qwen Image Edit Plus Upscale API: Image Detail Enhancer
Brand: magicapi
SKU: api-magicapi-image-upscaler-enhancer-lora-qwen-edit-apps-qwen-image-edit-plus-lora-upscale
Availability: InStock
Author: API Market

Shashank Agarwal

# 🔍 Image Detail Enhancer API (Alibaba Qwen Image Edit Plus Upscale LoRA)

## Overview
Qwen Image Edit Plus Upscale LoRA runs Alibaba's Qwen-Image-Edit-Plus image editing model with an Upscale LoRA adapter. Its developer describes it as a detail-loving upscale and restore pass that sharpens textures and color fidelity.

Send an `image` and an optional `prompt`. The model returns a list with the URL of one enhanced image.

## Features
- **Detail pass on one image**: send any jpeg, png, gif or webp image as `image`.
- **Prompt hint**: the default `prompt` asks the model to enhance image quality, sharpen fine textures and restore natural colors and contrast. Add a short scene description so the LoRA knows which details to recover.
- **Speed presets**: when `num_inference_steps` is omitted, `go_fast` set to `true` runs an 8-step preset and `false` runs a 40-step detailed preset. Or set `num_inference_steps` (1 to 40) yourself.
- **LoRA controls**: `lora_weights` selects the adapter (blank uses the default Upscale adapter) and `lora_scale` (0 to 4) sets its strength.
- **Aspect ratio**: `match_input_image` (default), `1:1`, `16:9`, `9:16`, `4:3`, `3:4`.
- **Output format**: `webp` (default), `jpg` or `png`, with `output_quality` 0 to 100 for lossy formats.
- **Seed**: set a seed to reproduce a result.

## Use Cases
1. **Cleaning up soft photos**: sharpen textures in product, portrait or travel photos before publishing.
2. **Color and contrast recovery**: bring back natural colors in dull or washed-out images.
3. **Preparing images for print or large displays**: run a detail pass on an image before using it at a larger size.
4. **Batch photo touch-ups**: send each image in a catalog through the same prompt and settings for a consistent look.

## Visual Examples
### Example Input
Image:

![Input photo sent to the Qwen Image Edit Plus Upscale LoRA example request](https://blog.api.market/wp-content/uploads/2026/10/qwen-image-edit-plus-lora-upscale-input-api-market-1.png)

Prompt: "Enhance image quality, sharpen fine textures, restore natural colors and contrast"

Settings: `aspect_ratio` `match_input_image`, `lora_weights` `""` (default adapter), `lora_scale` `1`, `true_guidance_scale` `1`, `output_format` `webp`, `output_quality` `95`.

### Example Output
![Enhanced image returned by Qwen Image Edit Plus Upscale LoRA](https://blog.api.market/wp-content/uploads/2026/10/qwen-image-edit-plus-lora-upscale-output-w2q10m2b-api-market.webp)

## Input Parameters
| Field | Type | Required | Default | Allowed values | Description |
| --- | --- | --- | --- | --- | --- |
| `image` | string (URL) | Yes |  |  | Image URL (jpeg, png, gif or webp) |
| `prompt` | string | No | `Enhance image quality, sharpen fine textures, restore natural colors and contrast` |  | Prompt hint. Start with "Enhance image quality, sharpen fine textures, restore natural colors" and add a short scene description so the LoRA knows what details to recover |
| `aspect_ratio` | string | No | `match_input_image` | `match_input_image`, `1:1`, `16:9`, `9:16`, `4:3`, `3:4` | Aspect ratio for the generated image |
| `go_fast` | boolean | No | none |  | If `num_inference_steps` is omitted, `true` runs the 8-step Lightning preset and `false` runs the 40-step detailed preset |
| `num_inference_steps` | integer | No | none | 1 to 40 | Explicit denoising step count. Leave blank to use the `go_fast` presets (fast = 8 steps, slow = 40 steps) |
| `lora_weights` | string | No | `""` |  | LoRA weights to apply. Leave blank to use the default Upscale adapter |
| `lora_scale` | number | No | none | 0 to 4 | Strength applied to the selected LoRA. Leave blank for the default strength |
| `true_guidance_scale` | number | No | `1` | 0 to 10 | True classifier-free guidance scale passed to the pipeline |
| `seed` | integer | No | none |  | Random seed. Set for reproducible generation |
| `output_format` | string | No | `webp` | `webp`, `jpg`, `png` | Format of the output images |
| `output_quality` | integer | No | `95` | 0 to 100 | Quality when saving the output images. 100 is best quality, 0 is lowest. Not relevant for png outputs |
| `disable_safety_checker` | boolean | No | `false` |  | Disable safety checker for generated images |

## Pricing
- **Pay As You Go (PAYG) pricing**: you only pay for what you use.
- **Price**: $0.038 per API unit.
- **1 API unit = 1 output image.** Each request returns one image, so each successful request costs $0.038, whatever the settings.
- The example request above returned one image and costs $0.038.
- **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/image-upscaler-enhancer-lora-qwen-edit-apps-qwen-image-edit-plus-lora-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/image-upscaler-enhancer-lora-qwen-edit-apps-qwen-image-edit-plus-lora-upscale/predictions" \
  -H "Content-Type: application/json" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY" \
  -d '{
    "version": "qwen-edit-apps/qwen-image-edit-plus-lora-upscale",
    "input": {
      "image": "https://blog.api.market/wp-content/uploads/2026/10/qwen-image-edit-plus-lora-upscale-input-api-market-1.png",
      "prompt": "Enhance image quality, sharpen fine textures, restore natural colors and contrast",
      "lora_scale": 1,
      "aspect_ratio": "match_input_image",
      "lora_weights": "",
      "output_format": "webp",
      "output_quality": 95,
      "true_guidance_scale": 1
    }
  }'
```

Response (201 Created):
```json
{
  "id": "w2q10m2btdrmt0d1ccwscbjvmr",
  "version": "qwen-edit-apps/qwen-image-edit-plus-lora-upscale",
  "status": "starting",
  "created_at": "2026-10-22T10:47:41.951Z"
}
```

#### Check Prediction Status
```bash
curl -X GET "https://prod.api.market/api/v1/magicapi/image-upscaler-enhancer-lora-qwen-edit-apps-qwen-image-edit-plus-lora-upscale/predictions/{id}" \
  -H "x-api-market-key: YOUR_API_MARKET_KEY"
```

Response when the prediction has finished (200 OK):
```json
{
  "id": "w2q10m2btdrmt0d1ccwscbjvmr",
  "status": "succeeded",
  "output": [
    "https://blog.api.market/wp-content/uploads/2026/10/qwen-image-edit-plus-lora-upscale-output-w2q10m2b-api-market.webp"
  ],
  "error": null,
  "created_at": "2026-10-22T10:47:41.951Z",
  "started_at": "2026-10-22T10:48:05.949Z",
  "completed_at": "2026-10-22T10:48:29.160Z"
}
```

`output` is a list with one URL pointing to the enhanced 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` or an `aspect_ratio` that is not in the list.
- **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/image-upscaler-enhancer-lora-qwen-edit-apps-qwen-image-edit-plus-lora-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: "qwen-edit-apps/qwen-image-edit-plus-lora-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/qwen-image-edit-plus-lora-upscale-input-api-market-1.png",
  prompt: "Enhance image quality, sharpen fine textures, restore natural colors and contrast",
  lora_scale: 1,
  aspect_ratio: "match_input_image",
  lora_weights: "",
  output_format: "webp",
  output_quality: 95,
  true_guidance_scale: 1
}).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/image-upscaler-enhancer-lora-qwen-edit-apps-qwen-image-edit-plus-lora-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": "qwen-edit-apps/qwen-image-edit-plus-lora-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")


print(create_and_wait_for_prediction({
    "image": "https://blog.api.market/wp-content/uploads/2026/10/qwen-image-edit-plus-lora-upscale-input-api-market-1.png",
    "prompt": "Enhance image quality, sharpen fine textures, restore natural colors and contrast",
    "lora_scale": 1,
    "aspect_ratio": "match_input_image",
    "lora_weights": "",
    "output_format": "webp",
    "output_quality": 95,
    "true_guidance_scale": 1,
}))
```

## FAQ
- **Do I need to write a prompt?**
  - No. `image` is the only required field. The default `prompt` already asks for sharper textures and natural colors; adding a short description of the scene helps the LoRA recover the right details.
- **Will the output keep my image's shape?**
  - Yes with the default `aspect_ratio` of `match_input_image`. Pick `1:1`, `16:9`, `9:16`, `4:3` or `3:4` to change it.
- **How do I trade speed for detail?**
  - Leave `num_inference_steps` empty and set `go_fast` to `true` for the 8-step preset or `false` for the 40-step preset, or set `num_inference_steps` from 1 to 40 directly.
- **How much does one request cost?**
  - $0.038. Each request returns one image, billed as one API unit.
- **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.


Sharpen textures and restore natural colors in any image with Alibaba's Qwen Image Edit Plus and its Upscale LoRA. $0.038 per image, pay as you go.