# v1-standard/image-to-video {% columns %} {% column width="66.66666666666666%" %} {% hint style="info" %} This documentation is valid for the following list of our models: * `kling-video/v1/standard/image-to-video` {% endhint %} {% endcolumn %} {% column width="33.33333333333334%" %} Try in Playground {% endcolumn %} {% endcolumns %} A model transforms static images into dynamic video clips. ## 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 ## 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":["kling-video/v1/standard/image-to-video"]},"image_url":{"type":"string","format":"uri","description":"A direct link to an online image or a Base64-encoded local image that will serve as the visual base or the first frame for the video."},"prompt":{"type":"string","description":"The text description of the scene, subject, or action to generate in the video."},"tail_image_url":{"type":"string","format":"uri","description":"A direct link to an online image or a Base64-encoded local image to be used as the last frame of the video."},"duration":{"type":"integer","description":"The length of the output video in seconds.","enum":[5,10],"default":"5"},"negative_prompt":{"type":"string","description":"The description of elements to avoid in the generated video."},"cfg_scale":{"type":"number","minimum":0,"maximum":1,"description":"The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt."},"static_mask":{"type":"string","format":"uri","description":"URL of the image for Static Brush Application Area (Mask image created by users using the motion brush)."},"dynamic_masks":{"type":"array","items":{"type":"object","properties":{"mask":{"type":"string"},"trajectories":{"type":"array","items":{"type":"object","properties":{"x":{"type":"integer"},"y":{"type":"integer"}},"required":["x","y"]},"minItems":2,"maxItems":77}},"required":["mask","trajectories"]},"maxItems":6,"description":"List of dynamic masks."},"camera_control":{"type":"object","properties":{"type":{"type":"string","enum":["simple","down_back","forward_up","right_turn_forward","left_turn_forward"]},"config":{"type":"object","properties":{"horizontal":{"type":"number","minimum":-10,"maximum":10},"vertical":{"type":"number","minimum":-10,"maximum":10},"pan":{"type":"number","minimum":-10,"maximum":10},"tilt":{"type":"number","minimum":-10,"maximum":10},"roll":{"type":"number","minimum":-10,"maximum":10},"zoom":{"type":"number","minimum":-10,"maximum":10}}}},"description":"Camera control parameters."}},"required":["model","image_url"],"title":"kling-video/v1/standard/image-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"]}}}}}}}}} ``` ### 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. ## GET /v2/video/generations > ```json {"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"security":[{"access-token":[]}],"components":{"securitySchemes":{"access-token":{"scheme":"bearer","bearerFormat":"","type":"http","description":"Bearer key","in":"header"}}},"paths":{"/v2/video/generations":{"get":{"operationId":"_v2_video_generations","parameters":[{"name":"generation_id","required":true,"in":"query","schema":{"type":"string"}}],"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 We have a classic [reproduction](https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg) of the famous da Vinci painting. Let's ask the model to generate a video where the Mona Lisa puts on glasses. The code below creates a video generation task, then automatically polls the server every **15** seconds until it finally receives the video URL. {% 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": "kling-video/v1/standard/image-to-video", "prompt": "Mona Lisa puts on glasses with her hands.", "image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg", "duration": "5", } 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(): # Running video generation and getting a task id gen_response = generate_video() gen_id = gen_response.get("id") print("Generation ID: ", gen_id) # Try to retrieve the video from the server every 15 sec if gen_id: start_time = time.time() timeout = 1000 # 1000 sec = 16 min 40 sec 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"); // Replace with your actual AI/ML API key const apiKey = ""; const baseUrl = "https://api.aimlapi.com/v2"; // Creating and sending a video generation task to the server function generateVideo(callback) { const data = JSON.stringify({ model: "kling-video/v1/standard/image-to-video", prompt: "Mona Lisa puts on glasses with her hands.", image_url: "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg", duration: "5", }); 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} - ${body}`); callback(null); } else { const parsed = JSON.parse(body); callback(parsed); } }); }); req.on("error", (err) => console.error("Request error:", err)); req.write(data); req.end(); } // Requesting the result of the task from the server using the generation_id function getVideo(genId, callback) { const url = new URL(`${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(); } // Initiates video generation and checks the status every 15 seconds until completion or timeout 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; // 1000 sec = 16 min 40 sec const interval = 15 * 1000; // 15 sec 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 %}
Response {% code overflow="wrap" %} ```json5 Generation ID: nJ8Xcj0YCh8jZL1noqiZH Status: queued. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Status: generating. Checking again in 15 seconds. Processing complete: {'id': 'nJ8Xcj0YCh8jZL1noqiZH', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/kangaroo/bs2/upload-ylab-stunt-sgp/muse/784256485483880450/VIDEO/20260120/65936dd58d920424e4eb9c63ced58d91-95043990-9089-4f29-964f-bdb9dc8613ef.mp4?cacheKey=ChtzZWN1cml0eS5rbGluZy5tZXRhX2VuY3J5cHQSsAGF3eZphj1FFPB8b_FDXynExDTd0HvbX2EVjv4yP_Gmh8VWD9o5tDZwQTgxGhTON39FMvEafOs-MIqntimFHNbc87q1kSLAvr7i2unqGZPUcOSe1_QHuohz1ziHRpgZS5QJBgyVWcTO1O7rzPEBmcuVq2KAWv1-Hdtf2hsKUWGpM_ND2uqLgtOO3TSOxUW4L0sfxdTBkCzRgtGT8R-PlMk-18wbhrdtdjdDZ9G2KMw1jhoSS2Y9drB8Z4ednHxTIh7XZcnaIiBz78YUdtCCF-Oy9Z_9Dffy3JHkkjqHh7CM6cBjju3sJCgFMAE&x-kcdn-pid=112781&ksSecret=e2572bf52259a55921fce5697719d027&ksTime=6996dc99'}} ``` {% endcode %}
**Processing time**: \~4 min 9 sec. **Original**: [832x1216](https://drive.google.com/file/d/1I4yUQanF_g_UppGrN188Zl0unxa5SG8i/view?usp=sharing) (without sound) **Low-res GIF preview**: