# Telestyle V2 Style Transfer — API Reference Model ID: `model_telestyle-v2` --- ## Authentication - **API_KEY** and **API_SECRET** are found in your [Scenario Project Settings](https://app.scenario.com/team&tab=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_telestyle-v2` ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `contentImage` | assetId | yes | - | The image you want to restyle. Its subject and composition are kept; only the look changes. | | `styleImage` | assetId | yes | - | The image whose look you want to borrow — its artistic style, materials, lighting, and colors are applied to your content image. | | `resolution` | string | - | `square_hd` | The size and shape of the result. | | `loraScale` | number | - | `1` | How strongly the reference style is applied. Higher values push the styling harder; lower values keep more of the original look. | | `useLightningLora` | boolean | - | `true` | Adds a speed booster that generates results faster. On by default. | | `lightningLoraScale` | number | - | `1` | How strongly the speed booster is applied. Only matters when "Use Lightning" is on. | | `useContentDescription` | boolean | - | `true` | Automatically analyzes your content image and feeds a written description into the process, which can improve how well the subject is preserved. | | `useStyleDescription` | boolean | - | `true` | Automatically analyzes your style image and feeds a written description into the process, which can improve how well the style is captured. | | `negativePrompt` | string | - | `` | Things to keep out of the result — for example, "text, watermark, blurry." | | `numInferenceSteps` | number | - | `4` | How many refinement passes the model makes. More steps can improve quality but take longer. | | `guidanceScale` | number | - | `1` | How closely the result follows the model's internal prompt. Higher values stick to it more strictly. | | `acceleration` | string | - | `none` | An optional speed boost. Regular is faster; None prioritizes quality. | | `numOutputs` | number | - | `1` | How many images to create at once. | | `seed` | number | - | - | A number that makes results repeatable. Reusing the same seed and settings produces the same image; leave it empty for a different result each time. | ### Example Requests **cURL** ```bash curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_telestyle-v2" \ -H "Authorization: Basic $(echo -n ':' | base64)" \ -H "Content-Type: application/json" \ --data-binary @- <<'EOF' { "contentImage": "", "styleImage": "", "resolution": "square_hd", "loraScale": 1, "useLightningLora": true, "lightningLoraScale": 1, "useContentDescription": true, "useStyleDescription": true, "negativePrompt": "", "numInferenceSteps": 4, "guidanceScale": 1, "acceleration": "none", "numOutputs": 1 } 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 = { "contentImage": "", "styleImage": "", "resolution": "square_hd", "loraScale": 1, "useLightningLora": True, "lightningLoraScale": 1, "useContentDescription": True, "useStyleDescription": True, "negativePrompt": "", "numInferenceSteps": 4, "guidanceScale": 1, "acceleration": "none", "numOutputs": 1 } response = client.generate.run_model( model_id="model_telestyle-v2", 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 = { "contentImage": "", "styleImage": "", "resolution": "square_hd", "loraScale": 1, "useLightningLora": true, "lightningLoraScale": 1, "useContentDescription": true, "useStyleDescription": true, "negativePrompt": "", "numInferenceSteps": 4, "guidanceScale": 1, "acceleration": "none", "numOutputs": 1 }; const response = await client.generate.runModel("model_telestyle-v2", { 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)*