# Wan 2.2 Outpainting — API Reference Model ID: `model_wan-2-2-vace-fun-a14b-outpainting` --- ## 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-2-2-vace-fun-a14b-outpainting` ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `prompt` | string | yes | - | Text prompt for video generation | | `videoUrl` | assetId | yes | - | Input video for outpainting | | `expandLeft` | boolean | - | `true` | Expand video to the left | | `expandRight` | boolean | - | `true` | Expand video to the right | | `expandTop` | boolean | - | `true` | Expand video to the top | | `expandBottom` | boolean | - | `true` | Expand video to the bottom | | `expandRatio` | number | - | `0.25` | Amount of expansion. This is a float value between 0 and 1, where 0.25 adds 25% to the original video size on the specified sides. | | `negativePrompt` | string | - | - | Text negative prompt for video generation | | `refImageUrls` | assetId[] | - | `` | Reference images | | `matchInputNumFrames` | boolean | - | `false` | Match the number of frames from input video | | `numFrames` | number | - | `81` | Number of frames to generate | | `matchInputFramesPerSecond` | boolean | - | `false` | If true, the frames per second of the generated video will match the input video. If false, the frames per second will be determined by the Frames Per Seconds parameter. | | `framesPerSecond` | number | - | `16` | Frames per second of the generated video. Ignored if match_input_frames_per_second is true. Default value: 16 | | `resolution` | string | - | `720p` | Output video resolution | | `aspectRatio` | string | - | `auto` | Aspect ratio for output video | | `numInferenceSteps` | number | - | `30` | Number of inference steps | | `guidanceScale` | number | - | `5` | Guidance scale for generation | | `enablePromptExpansion` | boolean | - | `false` | Enable prompt expansion | | `acceleration` | string | - | `regular` | Processing acceleration mode | | `videoQuality` | string | - | `high` | Output video quality | | `videoWriteMode` | string | - | `balanced` | Video writing mode | | `numInterpolatedFrames` | number | - | `1` | Number of frames to interpolate between the original frames. A value of 0 means no interpolation | | `interpolatorModel` | string | - | `film` | Interpolator model to use | | `seed` | number | - | - | Random seed for reproducibility. If None, a random seed is chosen. | ### Example Requests **cURL** ```bash curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_wan-2-2-vace-fun-a14b-outpainting" \ -H "Authorization: Basic $(echo -n ':' | base64)" \ -H "Content-Type: application/json" \ --data-binary @- <<'EOF' { "prompt": "A fantasy landscape", "videoUrl": "", "expandLeft": true, "expandRight": true, "expandTop": true, "expandBottom": true, "expandRatio": 0.25, "refImageUrls": [], "matchInputNumFrames": false, "numFrames": 81, "matchInputFramesPerSecond": false, "framesPerSecond": 16, "resolution": "720p", "aspectRatio": "auto", "numInferenceSteps": 30, "guidanceScale": 5, "enablePromptExpansion": false, "acceleration": "regular", "videoQuality": "high", "videoWriteMode": "balanced", "numInterpolatedFrames": 1, "interpolatorModel": "film" } 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", "videoUrl": "", "expandLeft": True, "expandRight": True, "expandTop": True, "expandBottom": True, "expandRatio": 0.25, "refImageUrls": [], "matchInputNumFrames": False, "numFrames": 81, "matchInputFramesPerSecond": False, "framesPerSecond": 16, "resolution": "720p", "aspectRatio": "auto", "numInferenceSteps": 30, "guidanceScale": 5, "enablePromptExpansion": False, "acceleration": "regular", "videoQuality": "high", "videoWriteMode": "balanced", "numInterpolatedFrames": 1, "interpolatorModel": "film" } response = client.generate.run_model( model_id="model_wan-2-2-vace-fun-a14b-outpainting", 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", "videoUrl": "", "expandLeft": true, "expandRight": true, "expandTop": true, "expandBottom": true, "expandRatio": 0.25, "refImageUrls": [], "matchInputNumFrames": false, "numFrames": 81, "matchInputFramesPerSecond": false, "framesPerSecond": 16, "resolution": "720p", "aspectRatio": "auto", "numInferenceSteps": 30, "guidanceScale": 5, "enablePromptExpansion": false, "acceleration": "regular", "videoQuality": "high", "videoWriteMode": "balanced", "numInterpolatedFrames": 1, "interpolatorModel": "film" }; const response = await client.generate.runModel("model_wan-2-2-vace-fun-a14b-outpainting", { 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)*