# Qwen Image Edit

Qwen-Image-Edit is designed for high-quality image editing, allowing users to modify objects, adjust environments, and replace elements with natural precision. It extends the text-to-image capabilities of Qwen-Image by enabling seamless edits such as changing items, altering scenes, or enhancing details while keeping the overall image realistic and consistent.

## API Information

- **Model Slug:** qwen-ai-image-edit
- **Branded URL:** https://www.eachlabs.ai/alibaba/qwen/qwen-ai-image-edit
- **Provider:** Alibaba
- **Category:** Image to Image
- **Output Type:** image
- **Status:** active
- **Version:** 0.0.1
- **Base Cost:** $0.03 per image (input.num_images, default 1)
- **Estimated Processing Time:** 8 seconds
- **Last Updated:** 2026-06-10
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/qwen-ai-image-edit

## Pricing

- **Charge Type:** dynamic
- **Estimated Price (default example):** $0.0300
- **Pricing Details:** $0.03 per image (input.num_images, default 1)

### Pricing Rules

| Condition | Pricing |
| --- | --- |
| Rule 1 | $0.03 per image (input.num_images, default 1) |

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | The prompt to generate the image with |
| image_url | string | Yes | - | - | The URL of the image to edit. |
| image_size | string | No | - | square_hd,square,portrait_4_3,portrait_16_9,landscape_4_3,landscape_16_9 | The size of the generated image. |
| num_inference_steps | integer | No | 30 | 2–50 | The number of inference steps to perform. |
| seed | integer | No | - | - | The same seed and the same prompt given to the same version of the model will output the same image every time. |
| guidance_scale | number | No | 4 | 0–20 | The CFG (Classifier Free Guidance) scale is a measure of how close you want  the model to stick to your prompt when looking for a related image to show you. |
| num_images | integer | No | 1 | 1–4 | The number of images to generate. |
| enable_safety_checker | boolean | No | true | - | If set to true, the safety checker will be enabled. |
| output_format | string | No | png | jpeg,png | The format of the generated image. |
| negative_prompt | string | No | - | - | The negative prompt for the generation |
| acceleration | string | No | regular | none,regular,high | Acceleration level for image generation. Options: 'none', 'regular'. Higher acceleration increases speed. 'regular' balances speed and quality. |

## Example Request

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "qwen-ai-image-edit",
  "input": {
    "prompt": "Change daytime to evening with city lights",
    "image_url": "https://storage.googleapis.com/magicpoint/inputs/qwenn-image-edit-input.jpeg"
  }
}'
```

## Output Schema

Response returned by `GET /v1/prediction/{id}` when the job completes:

```json
{
  "status": "success",
  "predictionID": "string",
  "output": "string (URL of generated image)",
  "metrics": {
    "predict_time": "number (seconds)"
  }
}
```

## Polling

```bash
curl https://api.eachlabs.ai/v1/prediction/{PREDICTION_ID} \
  -H "Authorization: Bearer YOUR_API_KEY"
```

| Status | Meaning |
|--------|---------|
| `processing` | Still running — poll again |
| `success` | Done — read `output` |
| `error` | Failed — read `message` / `details` |

## Webhook (alternative to polling)

Pass `"webhook_url": "https://your.host/path"` in the create request. Eachlabs POSTs this payload when the job ends:

```json
{
  "exec_id": "prediction-uuid",
  "status": "succeeded",
  "output": "https://...",
  "error": ""
}
```

`status` is `"succeeded"` or `"failed"`. `exec_id` equals the `predictionID` from create. Return 2xx within 30 seconds.

## Errors

Error body: `{ "status": "error", "message": "...", "details": "..." }`

| Code | Meaning |
|------|---------|
| `400` | Invalid input |
| `401` | Missing / invalid `Authorization` bearer token |
| `404` | Unknown model or prediction id |
| `429` | Rate limit — 100 creates / min, 10 concurrent per key |
| `5xx` | Retry with backoff |

## Overview

**qwen-ai-image-edit — Image Editing AI Model**

Developed by Alibaba as part of the **qwen** family, **qwen-ai-image-edit** empowers users to perform precise object insertion, removal, and replacement in existing photos, solving the challenges of maintaining identity consistency and visual realism in **image-to-image AI model** workflows. This advanced model, based on Qwen-Image-Edit-2511, excels in multi-image editing for complex composites like person-plus-product scenes or multiple-angle views, making it ideal for e-commerce and advertising needs. With strong multilingual prompt support and high-resolution outputs up to ~2560×2560, **qwen-ai-image-edit** delivers professional-grade edits that preserve face shapes, product details, and scene layouts without drastic changes.

## Usage Notes

- API Base URL: `https://api.eachlabs.ai/v1`
- Authentication: send `Authorization: Bearer YOUR_API_KEY`. Generate a key from the Eachlabs dashboard at https://www.eachlabs.ai/dashboard/api-keys.
- File-typed parameters (`*_url`, `image_url`, `video_url`, `audio_url`, etc.) accept publicly-reachable HTTPS URLs only. Upload your asset first (GCS / S3 / your CDN) and pass the resulting URL. Data-URIs and localhost URLs are rejected.
- For structured parameters (arrays / objects) send real JSON values, not stringified payloads.
- Monetary values are reported in USD; per-token / per-megapixel rates may be billed in micro-cents internally.
- Prefer `webhook_url` over polling for long-running predictions — see the Webhook Callback section.