> For the complete documentation index, see [llms.txt](https://docs.aimlapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aimlapi.com/api-references/video-models/kling-ai/v3-standard-turbo-text-to-video.md). # v3-standard-turbo-text-to video {% columns %} {% column width="66.66666666666666%" %} {% hint style="info" %} This documentation is valid for the following list of our models: * `klingai/video-v3-standard-turbo-text-to-video` * `kling-video/v3/turbo/standard/text-to-video` {% endhint %} {% endcolumn %} {% column width="33.33333333333334%" %} Try in Playground {% endcolumn %} {% endcolumns %} Kling 3.0 Turbo Standard is a fast, cost-efficient video generation model that turns text prompts directly into 720p video with native audio, optimized for rapid iteration and high-volume production. ## Setup your API Key If you don't have an API key for the AI/ML API yet, feel free to use our [Quickstart guide](https://docs.aimlapi.com/quickstart/setting-up). ## How to Make a Call
Step-by-Step Instructions Generating a video using this model involves sequentially calling two endpoints: * The first one is for creating and sending a video generation task to the server (returns a generation ID). * The second one is for requesting the generated video from the server using the generation ID received from the first endpoint. Below, you can find both corresponding API schemas.
## API Schemas {% hint style="success" %} Now, all of our API schemas for video models use our new universal short URL — `https://api.aimlapi.com/v2/video/generations`.\ However, you can still call this model using the legacy URL that includes the vendor name. {% endhint %} ### Create a video generation task and send it to the server ### Retrieve the generated video from the server After sending a request for video generation, this task is added to the queue. This endpoint lets you check the status of a video generation task using its `id`, obtained from the endpoint described above.\ If the video generation task status is `completed`, the response will include the final result — with the generated video URL and additional metadata. ## POST /v2/video/generations > ```json {"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v2/video/generations":{"post":{"operationId":"_v2_video_generations","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["klingai/video-v3-standard-turbo-text-to-video"]},"prompt":{"type":"string","maxLength":3072,"description":"The text description of the scene, subject, or action to generate in the video."},"multi_prompt":{"type":"array","nullable":true,"items":{"type":"object","properties":{"prompt":{"type":"string","maxLength":3072,"description":"Text prompt for this storyboard shot."},"duration":{"type":"integer","description":"The length of the output video in seconds.","enum":[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15],"default":"5"}},"required":["prompt"]},"minItems":1,"maxItems":6,"description":"Multi-shot storyboard with 1 to 6 shots. Mutually exclusive with prompt."},"duration":{"type":"integer","description":"The length of the output video in seconds.","enum":[3,4,5,6,7,8,9,10,11,12,13,14,15],"default":"5"},"aspect_ratio":{"type":"string","enum":["16:9","9:16","1:1"],"default":"16:9","description":"The aspect ratio of the generated video."}},"required":["model"],"title":"klingai/video-v3-standard-turbo-text-to-video"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"id":{"type":"string","description":"The ID of the generated video."},"status":{"type":"string","enum":["queued","generating","completed","error"],"description":"The current status of the generation task."},"video":{"type":"object","nullable":true,"properties":{"url":{"type":"string","format":"uri","description":"The URL where the file can be downloaded from."}},"required":["url"]},"error":{"type":"object","nullable":true,"properties":{"name":{"type":"string"},"message":{"type":"string"}},"required":["name","message"],"description":"Description of the error, if any."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["credits_used"]}},"description":"Additional details about the generation."}},"required":["id","status"]}}}}}}}}} ``` ## Full Example: Generating and Retrieving the Video From the Server {% tabs %} {% tab title="Python" %} {% code overflow="wrap" %} ```python import requests import time # Insert your AIML API Key instead of : api_key = "" base_url = "https://api.aimlapi.com/v2" # Creating and sending a video generation task to the server def generate_video(): url = f"{base_url}/video/generations" headers = { "Authorization": f"Bearer {api_key}", } data = { "model": "klingai/video-v3-standard-turbo-text-to-video", "prompt": "A golden retriever runs through a sunlit meadow, slow motion, cinematic." } response = requests.post(url, json=data, headers=headers) if response.status_code >= 400: print(f"Error: {response.status_code} - {response.text}") else: response_data = response.json() return response_data # Requesting the result of the task from the server using the generation_id def get_video(gen_id): url = f"{base_url}/video/generations" params = { "generation_id": gen_id, } headers = { "Authorization": f"Bearer {api_key}", "Content-Type": "application/json" } response = requests.get(url, params=params, headers=headers) return response.json() def main(): gen_response = generate_video() gen_id = gen_response.get("id") print("Generation ID: ", gen_id) if gen_id: start_time = time.time() timeout = 1000 while time.time() - start_time < timeout: response_data = get_video(gen_id) if response_data is None: print("Error: No response from API") break status = response_data.get("status") if status in ["queued", "generating"]: print(f"Status: {status}. Checking again in 15 seconds.") time.sleep(15) else: print("Processing complete:\n", response_data) return response_data print("Timeout reached. Stopping.") return None if __name__ == "__main__": main() ``` {% endcode %} {% endtab %} {% tab title="JavaScript" %} {% code overflow="wrap" %} ```javascript const https = require("https"); const { URL } = require("url"); const apiKey = ""; const baseUrl = "https://api.aimlapi.com/v2"; function generateVideo(callback) { const data = JSON.stringify({"model": "klingai/video-v3-standard-turbo-text-to-video", "prompt": "A golden retriever runs through a sunlit meadow, slow motion, cinematic."}); const url = new URL(`${baseUrl}/video/generations`); const options = { method: "POST", headers: { "Authorization": `Bearer ${apiKey}`, "Content-Type": "application/json", "Content-Length": Buffer.byteLength(data), }, }; const req = https.request(url, options, (res) => { let body = ""; res.on("data", (chunk) => body += chunk); res.on("end", () => { if (res.statusCode >= 400) { console.error(`Error: ${res.statusCode} - ${body}`); callback(null); } else { const parsed = JSON.parse(body); callback(parsed); } }); }); req.on("error", (err) => console.error("Request error:", err)); req.write(data); req.end(); } function getVideo(genId, callback) { const url = new URL(`${baseUrl}/video/generations`); url.searchParams.append("generation_id", genId); const options = { method: "GET", headers: { "Authorization": `Bearer ${apiKey}`, "Content-Type": "application/json", }, }; const req = https.request(url, options, (res) => { let body = ""; res.on("data", (chunk) => body += chunk); res.on("end", () => { const parsed = JSON.parse(body); callback(parsed); }); }); req.on("error", (err) => console.error("Request error:", err)); req.end(); } function main() { generateVideo((genResponse) => { if (!genResponse || !genResponse.id) { console.error("No generation ID received."); return; } const genId = genResponse.id; console.log("Generation ID:", genId); const timeout = 1000 * 1000; const interval = 15 * 1000; const startTime = Date.now(); const checkStatus = () => { if (Date.now() - startTime >= timeout) { console.log("Timeout reached. Stopping."); return; } getVideo(genId, (responseData) => { if (!responseData) { console.error("Error: No response from API"); return; } const status = responseData.status; if (["queued", "generating"].includes(status)) { console.log(`Status: ${status}. Checking again in 15 seconds.`); setTimeout(checkStatus, interval); } else { console.log("Processing complete:\n", responseData); } }); }; checkStatus(); }) } main(); ``` {% endcode %} {% endtab %} {% endtabs %} --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.aimlapi.com/api-references/video-models/kling-ai/v3-standard-turbo-text-to-video.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.