# Qwen |  Image Edit 2511 | Multiple Angles

Generates the same scene from different perspectives by adjusting azimuth and elevation, leveraging Qwen Image Edit 2511 with LoRA Multiple Angles for consistent and detailed results.

## API Information

- **Model Slug:** qwen-image-edit-2511-multiple-angles
- **Branded URL:** https://www.eachlabs.ai/alibaba/qwen/qwen-image-edit-2511-multiple-angles
- **Provider:** Alibaba
- **Category:** Image to Image
- **Output Type:** image
- **Status:** active
- **Base Cost:** $0.035 per megapixel per image
- **Estimated Processing Time:** 15 seconds
- **Interactive Demo:** https://www.eachlabs.ai/ai-models/qwen-image-edit-2511-multiple-angles

## Pricing

- **Charge Type:** dynamic
- **Estimate:** $0.035 per megapixel per image
- **Pricing Details:** width, height: $0.035
- **Pricing Details:** default: $0.035

## Input Schema

| Parameter | Type | Required | Default | Constraints | Description |
|-----------|------|----------|---------|-------------|-------------|
| image_urls | array | Yes | - | - | URLs of the images to edit. |
| horizontal_angle | number | No | 0 | 0–360 | Horizontal rotation angle in degrees. Range: 0–360. Default: 0. |
| vertical_angle | number | No | 0 | -30–90 | Vertical rotation angle in degrees. Range: -30 to 90. Default: 0. |
| zoom | number | No | 5 | 0–10 | Zoom level. Range: 0–10. Default: 5. |
| lora_scale | number | No | 1 | - | Scale factor for LoRA weights. Default: 1. |
| image_size | string | No | square_hd | square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9 | Output image size preset. Default: square_hd. |
| guidance_scale | number | No | 4.5 | 0–20 | Classifier-free guidance scale. Range: 0–20. Default: 4.5. |
| num_inference_steps | integer | No | 28 | 1–50 | Number of denoising steps. Range: 1–50. Default: 28. |
| acceleration | string | No | regular | none, regular | Acceleration mode. Default: regular. |
| negative_prompt | string | No | - | - | Text describing what to avoid in the output. |
| seed | integer | No | - | 1–0 | Random seed for reproducible results. Leave empty for random output. |
| enable_safety_checker | boolean | No | true | - | Run safety checker on output. Default: true. |
| output_format | string | No | png | png, jpeg, webp | Output image format. Default: png. |
| num_images | integer | No | 1 | 1–4 | Number of images to generate. Range: 1–4. Default: 1. |

## 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-image-edit-2511-multiple-angles",
  "input": {
    "image_urls": [
      "https://cdn-us.eachlabs.ai/defaults/d2b0e4d2047a331e52264e988e3e49feba767cbae2915b4e5e37d7aa0dd17292.png"
    ]
  }
}'
```

## 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-image-edit-2511-multiple-angles — Image Editing AI Model**

qwen-image-edit-2511-multiple-angles, developed by Alibaba as part of the Qwen family, revolutionizes **image-to-image AI model** workflows by generating consistent scenes from multiple angles using a single input image and text prompt. This LoRA-fine-tuned version of Qwen Image Edit 2511 enables precise control over azimuth and elevation adjustments, delivering detailed, coherent outputs without common distortions seen in multi-view generation. Ideal for developers seeking an **Alibaba image-to-image** solution, it leverages synthetic data training for superior angle consistency, solving the challenge of creating 360-degree product views or architectural renders efficiently.

Powered by Alibaba's advanced unified model architecture, qwen-image-edit-2511-multiple-angles supports intelligent image editing with enhanced detail adherence to prompts, making it a top choice for **AI image editor API** integrations in e-commerce and design applications.

## 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.