# NVIDIA Kimodo Text to Motion — API Reference Model ID: `model_nvidia-kimodo-text-to-motion` --- ## 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_nvidia-kimodo-text-to-motion` ### Parameters | Parameter | Type | Required | Default | Description | |-----------|------|----------|---------|-------------| | `prompts` | string[] | yes | - | The motions to generate, played in order with smooth transitions. Start each one with "A person..." and keep it to one or two actions. For example: "A person walks forward", then "A person sits down". | | `durations` | number[] | - | `5` | How long each prompt's motion lasts, in seconds. Give a single value to use for all prompts, or one value per prompt. | | `constraints` | assetId | - | - | Optional JSON file of Kimodo constraints: full-body keyframes, hand or foot positions, or a ground path for the character to follow. Set each constraint at a frame number, counted from the start of the whole sequence at 30 frames per second. Positions are Y-up, in meters, relative to where the motion starts. | | `numOutputs` | number | - | `1` | How many alternative motions to generate for the same prompts. | | `numInferenceSteps` | number | - | `100` | Number of denoising steps. Fewer steps are faster; more steps give higher quality. | | `guidanceScale` | number | - | `2` | How closely the motion follows your prompts. | | `guidanceType` | string | - | `separated` | None (`nocfg`) turns guidance off, Regular (`regular`) applies the guidance scale, and Separated (`separated`) applies the guidance scale to the prompts and the constraint guidance scale to the constraints. | | `constraintGuidanceScale` | number | - | `2` | How closely the motion follows your constraints. Used in Separated guidance mode only. | | `numTransitionFrames` | number | - | `5` | Number of frames used to blend one prompt's motion into the next. | | `firstHeadingAngle` | number | - | `0` | The direction the character faces at the start, in radians around the vertical (Y) axis. 0 faces +Z. | | `postProcessing` | boolean | - | `true` | Reduces foot sliding and snaps the motion onto your constraints. | | `seed` | number | - | - | Used to reproduce previous results | | `bvhStandardTPose` | boolean | - | `false` | Writes the BVH with a standard T-pose as its rest pose, instead of the skeleton's default rest pose. | ### Example Requests **cURL** ```bash curl -X POST "https://api.cloud.scenario.com/v1/generate/custom/model_nvidia-kimodo-text-to-motion" \ -H "Authorization: Basic $(echo -n ':' | base64)" \ -H "Content-Type: application/json" \ --data-binary @- <<'EOF' { "prompts": [], "durations": [ 5 ], "numOutputs": 1, "numInferenceSteps": 100, "guidanceScale": 2, "guidanceType": "separated", "constraintGuidanceScale": 2, "numTransitionFrames": 5, "firstHeadingAngle": 0, "postProcessing": true, "bvhStandardTPose": false } 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 = { "prompts": [], "durations": [ 5 ], "numOutputs": 1, "numInferenceSteps": 100, "guidanceScale": 2, "guidanceType": "separated", "constraintGuidanceScale": 2, "numTransitionFrames": 5, "firstHeadingAngle": 0, "postProcessing": True, "bvhStandardTPose": False } response = client.generate.run_model( model_id="model_nvidia-kimodo-text-to-motion", 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 = { "prompts": [], "durations": [ 5 ], "numOutputs": 1, "numInferenceSteps": 100, "guidanceScale": 2, "guidanceType": "separated", "constraintGuidanceScale": 2, "numTransitionFrames": 5, "firstHeadingAngle": 0, "postProcessing": true, "bvhStandardTPose": false }; const response = await client.generate.runModel("model_nvidia-kimodo-text-to-motion", { 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)*