# Z-Image Turbo — API Reference

Model ID: `model_z-image-turbo`

---

## 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_z-image-turbo`

### Parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `modelId` | model | - | `` | A single LoRA model ID. If provided, it will be added to the loras array. |
| `loras` | model[] | - | `` | List of one or more LoRA model IDs. If modelId is a LoRA and this is not provided, it will be automatically populated with the modelId. |
| `lorasScale` | number[] | - | - | Scales for the LoRA weights |
| `prompt` | string | yes | - | Text prompt for image generation |
| `negativePrompt` | string | - | - | Text prompt for what to avoid in the image |
| `image` | assetId | - | - | Source image for img2img transformation. Cannot be used with ControlNet. |
| `strength` | number | - | `0.75` | How much to transform the reference image. 0 means no change, 1 means complete transformation |
| `controlImage` | assetId[] | - | - | Control images to use as input (edge, depth, or pose). Cannot be used with Reference Image. |
| `controlnetConditioningScale` | number | - | `0.7` | The scale of the controlnet conditioning |
| `numOutputs` | number | - | `4` | Number of images to generate |
| `numInferenceSteps` | number | - | `9` | Number of inference steps. |
| `width` | number | - | - | Width of the generated image |
| `height` | number | - | - | Height of the generated image |
| `seed` | number | - | - | Used to reproduce previous results |

### Example Requests

**cURL**

```bash
curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_z-image-turbo" \
  -H "Authorization: Basic $(echo -n '<API_KEY>:<API_SECRET>' | base64)" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'EOF'
{
  "prompt": "A fantasy landscape",
  "strength": 0.75,
  "controlnetConditioningScale": 0.7,
  "numOutputs": 4,
  "numInferenceSteps": 9
}
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 = {
    "prompt": "A fantasy landscape",
    "strength": 0.75,
    "controlnetConditioningScale": 0.7,
    "numOutputs": 4,
    "numInferenceSteps": 9
}

response = client.generate.run_model(
    model_id="model_z-image-turbo",
    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 = {
  "prompt": "A fantasy landscape",
  "strength": 0.75,
  "controlnetConditioningScale": 0.7,
  "numOutputs": 4,
  "numInferenceSteps": 9
};

const response = await client.generate.runModel("model_z-image-turbo", { 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).

---

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