# Alibaba | Qwen Image 2.0 | Pro | Image Edit

Qwen Image 2.0 Pro Edit transforms images with style transfer, object insertion, in-image text editing, and multi-image compositing on eachlabs.

## API Information

- **Model Slug:** alibaba-qwen-image-2-0-pro-image-edit
- **Branded URL:** https://www.eachlabs.ai/alibaba/qwen-image-2-0/alibaba-qwen-image-2-0-pro-image-edit
- **Provider:** Alibaba
- **Category:** Image to Image
- **Output Type:** array
- **Status:** active
- **Base Cost:** $0.075 per image
- **Estimated Processing Time:** 25 seconds
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/alibaba-qwen-image-2-0-pro-image-edit

## Pricing

- **Charge Type:** dynamic
- **Estimate:** $0.075 per image
- **Pricing Details:** default: $0.075

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| prompt | string | Yes | - | - | Editing instruction. Supports Chinese and English. Max 800 characters. |
| image_urls | array | Yes | - | - | 1 to 3 input images. Formats: JPG, JPEG, PNG, BMP, TIFF, WEBP, GIF. Resolution 384-3072 px, max 10 MB. The output aspect ratio is determined by the last image. |
| negative_prompt | string | No | - | - | Describes content to exclude from the edit. Max 500 characters. |
| size | string | No | 1024*1024 | 1024*1024, 1536*1536, 1280*720, 1920*1080, 720*1280, 1080*1920, 1280*960, 1440*1080, 960*1280, 1080*1440, 1152*768, 1536*1024, 768*1152, 1024*1536, 1344*576, 2048*872 | Output resolution as width*height. 1:1 (1024*1024, 1536*1536), 16:9 (1280*720, 1920*1080), 9:16 (720*1280, 1080*1920), 4:3 (1280*960, 1440*1080), 3:4 (960*1280, 1080*1440), 3:2 (1152*768, 1536*1024), 2:3 (768*1152, 1024*1536), 21:9 (1344*576, 2048*872). |
| n | integer | No | 1 | 1–4 | Number of images to generate. 1-4. |
| seed | integer | No | - | 0–2147483647 | Random seed for reproducible generation. Range: 0-2147483647. |
| prompt_extend | boolean | No | true | - | Enable LLM-based prompt rewriting for better editing quality. Default: true. |

## 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": "alibaba-qwen-image-2-0-pro-image-edit",
  "input": {
    "image_urls": [
      "https://cdn-us.eachlabs.ai/defaults/a87fa2270a7b47b0945e765ad643a5d7.png",
      "https://cdn-us.eachlabs.ai/defaults/0d4e12468a004ae5a118974f6fb7d52e.png"
    ],
    "prompt": "Put this outfit on the person in a clean white studio setting, natural lighting, full body shot, the clothes should fit naturally on the body, realistic and seamless visual try-on, professional fashion photography."
  }
}'
```

## Output Schema

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

```json
{
  "status": "success",
  "predictionID": "string",
  "output": "array",
  "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

**Alibaba | Qwen Image 2.0 | Pro | Image Edit Overview**

The **Alibaba | Qwen Image 2.0 | Pro | Image Edit** model excels in image-to-image transformations, enabling users to modify existing images through precise text prompts for professional editing tasks. Developed by Alibaba as part of the advanced Qwen Image 2.0 family, this Pro variant stands out with its superior handling of complex edits like object manipulation and style transfers while maintaining photorealistic quality. It solves key challenges in creative workflows by allowing seamless alterations without requiring specialized software, making it ideal for designers and marketers seeking efficient Alibaba image-to-image solutions.

Available via the **Alibaba | Qwen Image 2.0 | Pro | Image Edit API** on platforms like each::labs (eachlabs.ai), it integrates easily into applications for automated editing. This model differentiates itself through robust multimodal understanding, combining visual input with natural language instructions for accurate, context-aware results. Whether inpainting backgrounds or adjusting lighting, it delivers high-fidelity outputs that rival traditional tools.

## 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.