# Video to Layers — API Reference Model ID: `model_scenario-video-layers-extractor` --- ## 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_scenario-video-layers-extractor` ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `video` | assetId | yes | - | The video you want to separate into layers. | | `separationInstruction` | string | yes | - | Tell the tool how to divide the video — describe the objects or the rule for splitting them, not the scene itself. For example: 'split the foreground people from the background scenery' or 'isolate the main subject'. | | `maxLayers` | number | - | `6` | The most layers the tool will produce. It may stop sooner if it decides nothing else is worth separating, or if it can't find the objects you described. More layers means a higher cost. | ### Example Requests **cURL** ```bash curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_scenario-video-layers-extractor" \ -H "Authorization: Basic $(echo -n ':' | base64)" \ -H "Content-Type: application/json" \ --data-binary @- <<'EOF' { "video": "", "separationInstruction": "A fantasy landscape", "maxLayers": 6 } 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 = { "video": "", "separationInstruction": "A fantasy landscape", "maxLayers": 6 } response = client.generate.run_model( model_id="model_scenario-video-layers-extractor", 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 = { "video": "", "separationInstruction": "A fantasy landscape", "maxLayers": 6 }; const response = await client.generate.runModel("model_scenario-video-layers-extractor", { 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)*