# GPT Image 2 — API Reference Model ID: `model_openai-gpt-image-2` --- ## 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(":")`. ### 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_openai-gpt-image-2` ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `prompt` | string | yes | - | Text description of desired generation or edit. | | `referenceImages` | assetId[] | - | - | Reference images for editing. | | `mask` | assetId | - | - | Mask image for inpainting. The image to edit and the mask must use the same format and dimensions. The mask must include an alpha channel—if you create the mask in an image editor, export or save it with alpha preserved. | | `numOutputs` | number | - | `1` | Number of images to generate | | `width` | number | - | - | Output width in pixels. | | `height` | number | - | - | Output height in pixels. | | `quality` | string | - | `auto` | Generation quality | | `background` | string | - | `auto` | Background option | ### Example Requests **cURL** ```bash curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_openai-gpt-image-2" \ -H "Authorization: Basic $(echo -n ':' | base64)" \ -H "Content-Type: application/json" \ --data-binary @- <<'EOF' { "prompt": "A fantasy landscape", "numOutputs": 1, "quality": "auto", "background": "auto" } 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", "numOutputs": 1, "quality": "auto", "background": "auto" } response = client.generate.run_model( model_id="model_openai-gpt-image-2", 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", "numOutputs": 1, "quality": "auto", "background": "auto" }; const response = await client.generate.runModel("model_openai-gpt-image-2", { 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/" \ -H "Authorization: Basic $(echo -n ':' | base64)" ``` **Python** ```python job = client.jobs.retrieve(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(""); 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)*