# Wan 2.7 Image — API Reference Model ID: `model_wan-2-7-image` --- ## 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_wan-2-7-image` ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `prompt` | string | yes | - | Describe generation, editing instructions, or structured image-set prompts | | `images` | assetId[] | - | `` | Optional input images for editing, style transfer, or multi-reference generation (up to 9) | | `size` | string | - | `2K` | Output resolution (1K/2K presets or explicit WxH) | | `numOutputs` | number | - | `1` | Number of images to generate) | | `imageSetMode` | boolean | - | `false` | Generate a coherent set of related images from one prompt | | `thinkingMode` | boolean | - | `true` | Enhanced reasoning for text-to-image (no input images, not in image set mode); slower | | `seed` | number | - | - | Random seed for reproducible results | ### Example Requests **cURL** ```bash curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_wan-2-7-image" \ -H "Authorization: Basic $(echo -n ':' | base64)" \ -H "Content-Type: application/json" \ --data-binary @- <<'EOF' { "prompt": "A fantasy landscape", "images": [], "size": "2K", "numOutputs": 1, "imageSetMode": false, "thinkingMode": true } 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", "images": [], "size": "2K", "numOutputs": 1, "imageSetMode": False, "thinkingMode": True } response = client.generate.run_model( model_id="model_wan-2-7-image", 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", "images": [], "size": "2K", "numOutputs": 1, "imageSetMode": false, "thinkingMode": true }; const response = await client.generate.runModel("model_wan-2-7-image", { 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)*