# minimax/h3/text-to-video > h3 is MiniMax's 2K video generation model. Generate a video from a text prompt with configurable duration and aspect ratio. ## Overview - **Endpoint**: `https://api.shortapi.ai/api/v1/job/create` - **Model ID**: `minimax/h3/text-to-video` - **Category**: text-to-video - **Kind**: inference ## Pricing $0.131 per output second. Output resolution is fixed at 2K. For more details, please check our pricing page. ## API Information This model can be used via our HTTP API or more conveniently via our client libraries. See the input and output schema below, as well as the usage examples. ### Input Schema The API accepts the following input parameters: - **`prompt`** (`string`, _required_): Text prompt describing the expected video content. Maximum 2,000 characters. - Examples: "An action shot of a black lab swimming..." - **`duration`** (`int`, _optional_): Output video duration in seconds. Supported range: 5 to 15 seconds. - Default: `5` - Range: `5` to `15` - **`aspect_ratio`** (`string`, _optional_): Output video aspect ratio. - Default: `16:9` - Options: "21:9", "16:9", "4:3", "1:1", "3:4", "9:16" ### Output Schema The API returns a JSON response with a `job_id` for tracking the request status. **Create Job Response:** ```json { "code": 0, "data": { "amount": "0.02", "job_id": "" } } ``` **Query Job Result (when status is 2, meaning succeeded):** ```json { "code": 0, "data": { "status": 2, "result": { "videos": [{ "url": "https://..." }] } } } ``` ## Use Example To use this model, make an HTTP POST request to the API endpoint, then poll for results using the returned `job_id`. ### Bash (cURL) ```bash # Step 1: Create a job response=$(curl --request POST \ --url https://api.shortapi.ai/api/v1/job/create \ --header "Authorization: Bearer $SHORTAPI_KEY" \ --header "Content-Type: application/json" \ --data '{ "model": "minimax/h3/text-to-video", "args": { "prompt": "A white kitten chases a butterfly across a sunlit garden. Gentle camera tracking, natural movement, soft afternoon light filtering through the leaves." }, "callback_url": "CALLBACK_URL" }') JOB_ID=$(echo "$response" | grep -o '"job_id": *"[^"]*"' | sed 's/"job_id": *//; s/"//g') # Step 2: Poll for results curl --request GET \ --url "https://api.shortapi.ai/api/v1/job/query?id=$JOB_ID" \ --header "Authorization: Bearer $SHORTAPI_KEY" ``` ### JavaScript (Fetch API) ```javascript // Step 1: Create a job const response = await fetch(`https://api.shortapi.ai/api/v1/job/create`, { method: "POST", headers: { "Authorization": `Bearer ${SHORTAPI_KEY}`, "Content-Type": "application/json" }, body: JSON.stringify({ "model": "minimax/h3/text-to-video", "args": { "prompt": "A white kitten chases a butterfly across a sunlit garden. Gentle camera tracking, natural movement, soft afternoon light filtering through the leaves." }, "callback_url": "CALLBACK_URL" }) }); const data = await response.json(); const JOB_ID = data.job_id; // Step 2: Poll for results const result = await fetch(`https://api.shortapi.ai/api/v1/job/query?id=${JOB_ID}`, { method: "GET", headers: { "Authorization": `Bearer ${SHORTAPI_KEY}` } }); const resultData = await result.json(); console.log(resultData); ``` ### Python (Requests) ```python import requests # Step 1: Create a job url = "https://api.shortapi.ai/api/v1/job/create" payload = { "model": "minimax/h3/text-to-video", "args": { "prompt": "A white kitten chases a butterfly across a sunlit garden. Gentle camera tracking, natural movement, soft afternoon light filtering through the leaves." }, "callback_url": "CALLBACK_URL" } headers = { "Authorization": f"Bearer {SHORTAPI_KEY}", "Content-Type": "application/json" } response = requests.post(url, headers=headers, json=payload) data = response.json() JOB_ID = data.get("job_id") # Step 2: Poll for results result_url = f"https://api.shortapi.ai/api/v1/job/query?id={JOB_ID}" result = requests.get(result_url, headers={"Authorization": f"Bearer {SHORTAPI_KEY}"}) print(result.json()) ```