# Qwen Edit Multiangle 2511 — API Reference

Model ID: `model_qwen-edit-multiangle-2511`

---

## Authentication

- **API_KEY** and **API_SECRET** are found in your [Scenario Project Settings](https://app.scenario.com/team&tab=project_api_keys) under API Keys.
- Set them as environment variables `SCENARIO_SDK_API_KEY` and `SCENARIO_SDK_API_SECRET` — both SDKs pick them up by default.
- For raw HTTP (cURL), use Basic Auth: `Authorization: Basic base64("<API_KEY>:<API_SECRET>")`.

### Install the SDK

- JavaScript / TypeScript: `npm install @scenario-labs/sdk`
- Python: `pip install scenario-sdk`

---

## Generate

**Endpoint:** `POST https://api.cloud.scenario.com/v1/generate/custom/model_qwen-edit-multiangle-2511`

### Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `images` | assetId[] | yes | - | Input image to edit |
| `horizontalAngle` | number | - | `0` | Horizontal angle (azimuth) in degrees: 0°=front, 90°=right side, 180°=back, 270°=left, 360°=front view again |
| `verticalAngle` | number | - | `0` | Vertical angle (elevation) in degrees: -30°=low-angle, 0°=eye-level, 90°=bird's-eye |
| `zoom` | number | - | `5` | Zoom - Distance level: 0=wide shot, 5=medium, 10=close-up |
| `loraScale` | number | - | `1.5` | LoRA scale controls camera control effect strength |
| `numOutputs` | number | - | `1` | Number of images to generate |
| `numInferenceSteps` | number | - | `28` | Number of inference steps (higher = better quality, slower) |
| `guidanceScale` | number | - | `4.5` | Guidance scale for generation (higher = closer to prompt) |
| `acceleration` | string | - | `none` | Acceleration mode for faster generation |
| `seed` | number | - | - | Use a seed for reproducible results. Leave blank to use a random seed. |

### Example Requests

**cURL**

```bash
curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_qwen-edit-multiangle-2511" \
  -H "Authorization: Basic $(echo -n '<API_KEY>:<API_SECRET>' | base64)" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'EOF'
{
  "images": [
    "<asset_id>"
  ],
  "horizontalAngle": 0,
  "verticalAngle": 0,
  "zoom": 5,
  "loraScale": 1.5,
  "numOutputs": 1,
  "numInferenceSteps": 28,
  "guidanceScale": 4.5,
  "acceleration": "none"
}
EOF
```

**Python**

```python
import os
from scenario_sdk import Scenario

client = Scenario(
    api_key=os.environ.get("SCENARIO_SDK_API_KEY"),
    api_secret=os.environ.get("SCENARIO_SDK_API_SECRET"),
)

body = {
    "images": [
        "<asset_id>"
    ],
    "horizontalAngle": 0,
    "verticalAngle": 0,
    "zoom": 5,
    "loraScale": 1.5,
    "numOutputs": 1,
    "numInferenceSteps": 28,
    "guidanceScale": 4.5,
    "acceleration": "none"
}

response = client.generate.run_model(
    model_id="model_qwen-edit-multiangle-2511",
    body=body,
)
print(response)
```

**JavaScript**

```javascript
import Scenario from "@scenario-labs/sdk";

const client = new Scenario({
  apiKey: process.env["SCENARIO_SDK_API_KEY"],
  apiSecret: process.env["SCENARIO_SDK_API_SECRET"],
});

const body = {
  "images": [
    "<asset_id>"
  ],
  "horizontalAngle": 0,
  "verticalAngle": 0,
  "zoom": 5,
  "loraScale": 1.5,
  "numOutputs": 1,
  "numInferenceSteps": 28,
  "guidanceScale": 4.5,
  "acceleration": "none"
};

const response = await client.generate.runModel("model_qwen-edit-multiangle-2511", { body });
console.info(response);
```

---

## Retrieve Results

After submitting a generation request, you receive a `jobId`. Poll the job until `job.status` is `"success"`. The generated asset IDs are in `job.metadata.assetIds`.

**Endpoint:** `GET https://api.cloud.scenario.com/v1/jobs/{jobId}`

### Example Requests

**cURL**

```bash
curl -X GET "https://api.cloud.scenario.com/v1/jobs/<JOB_ID>" \
  -H "Authorization: Basic $(echo -n '<API_KEY>:<API_SECRET>' | base64)"
```

**Python**

```python
job = client.jobs.retrieve(job_id="<JOB_ID>")
print(job.status)
print(job.metadata.asset_ids)
```

**JavaScript**

```javascript
// Option 1 — wait on the response from runModel using the SDK helper
const completed = await response.job.wait();
console.info(completed.status);
console.info(completed.metadata?.assetIds);

// Option 2 — retrieve a job by its ID
const job = await client.jobs.retrieve("<JOB_ID>");
console.info(job.status);
console.info(job.metadata?.assetIds);
```

**Example response:**

```json
{
  "job": {
    "jobId": "job_abc123",
    "status": "success",
    "metadata": {
      "assetIds": [
        "asset_abc123"
      ]
    }
  }
}
```

> **Important:** Generated asset URLs are **temporary** and expire after a short period. Download and store any images you wish to keep before the URL expires. More info: [Content Delivery Network (CDN)](https://docs.scenario.com/get-started/documentation/content-delivery-network-cdn).

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*Generated by [Scenario](https://app.scenario.com)*