# krea-wan-14b/video-to-video {% columns %} {% column width="66.66666666666666%" %} {% hint style="info" %} This documentation is valid for the following list of our models: * `krea/krea-wan-14b/video-to-video` {% endhint %} {% endcolumn %} {% column width="33.33333333333334%" %} Try in Playground {% endcolumn %} {% endcolumns %} A 14-billion parameter model for video edition. ## 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 ### Create a video generation task and send it to the server You can generate a video using this API. In the basic setup, you only need a prompt.\ This endpoint creates and sends a video generation task to the server — and returns a generation ID. ## 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":["krea/krea-wan-14b/video-to-video"]},"prompt":{"type":"string","description":"The text description of the scene, subject, or action to generate in the video."},"video_url":{"type":"string","format":"uri","description":"A HTTPS URL pointing to a video or a data URI containing a video. This video will be used as a reference during generation."},"strength":{"type":"number","minimum":0,"maximum":1,"default":0.85,"description":"Denoising strength for the video-to-video generation. 0.0 preserves the original, 1.0 completely remakes the video."},"enable_prompt_expansion":{"type":"boolean","default":true,"description":"Whether to enable prompt expansion."},"seed":{"type":"integer","description":"Varying the seed integer is a way to get different results for the same other request parameters. Using the same value for an identical request will produce similar results. If unspecified, a random number is chosen."}},"required":["model","prompt","video_url"],"title":"krea/krea-wan-14b/video-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":"AI/ML Gateway","version":"1.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v2/video/generations":{"get":{"operationId":"VideoControllerV2_pollVideo_v2","parameters":[{"name":"generation_id","required":true,"in":"query","schema":{"type":"string"}}],"responses":{"200":{"description":"Successfully generated video","content":{"application/json":{"schema":{"$ref":"#/components/schemas/Video.v2.PollVideoResponseDTO"}}}}},"tags":["Video Models"]}}},"components":{"schemas":{"Video.v2.PollVideoResponseDTO":{"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."},"duration":{"type":"number","nullable":true,"description":"The duration of the video."}},"required":["url"]},"duration":{"type":"number","nullable":true,"description":"The duration of the video."},"error":{"nullable":true,"description":"Description of the error, if any."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"tokens_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["tokens_used"]}},"description":"Additional details about the generation."}},"required":["id","status"]}}}} ``` ## Full Example: Generating and Retrieving the Video From the Server The code below creates a video generation task, then automatically polls the server every **10** seconds until it finally receives the video URL. {% tabs %} {% tab title="Python" %} {% code overflow="wrap" %} ```python import requests import time # Insert your AI/ML API key instead of : api_key = "" # Creating and sending a video generation task to the server def generate_video(): url = "https://api.aimlapi.com/v2/video/generations" headers = { "Authorization": f"Bearer {api_key}", } data = { "model": "krea/krea-wan-14b/video-to-video", "video_url":"https://zovi0.github.io/public_misc/kling-v2-master-t2v-racoon.mp4", "prompt":''' Add a small fairy as a rider on the raccoon’s back. She must have a black-and-golden face and a cloak in the colors of a dark emerald tropical butterfly with bright blue shimmering spots. ''', "strength": 0.55, } 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() print(response_data) return response_data # Requesting the result of the task from the server using the generation_id def get_video(gen_id): url = "https://api.aimlapi.com/v2/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(): # Generate video 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 = 600 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 // Insert your AIML API Key instead of const apiKey = ""; const baseUrl = "https://api.aimlapi.com/v2"; const https = require("https"); const { URL } = require("url"); // Creating and sending a video generation task to the server function generateVideo(callback) { const data = JSON.stringify({ model: "krea/krea-wan-14b/video-to-video", prompt: ` Add a small fairy as a rider on the raccoon’s back. She must have a black-and-golden face and a cloak in the colors of a dark emerald tropical butterfly with bright blue shimmering spots. `, video_url:'https://zovi0.github.io/public_misc/kling-v2-master-t2v-racoon.mp4', strength: 0.55 }); 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} - ${body}`); callback(null); } else { const result = JSON.parse(body); callback(result); } }); }); req.on("error", (err) => { console.error("Request error:", err); callback(null); }); req.write(data); req.end(); } // Requesting the result of the task from the server using the generation_id function getVideo(genId, callback) { const url = new URL(`${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 result = JSON.parse(body); callback(result); }); }); req.on("error", (err) => { console.error("Request error:", err); callback(null); }); 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 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 {'id': '3637be63-2db8-4ecc-bc0f-00afbdf10a55:krea/krea-wan-14b/video-to-video', 'status': 'queued', 'meta': {'usage': {'tokens_used': 315000}}} Generation ID: 3637be63-2db8-4ecc-bc0f-00afbdf10a55:krea/krea-wan-14b/video-to-video Status: generating Still waiting... Checking again in 10 seconds. Status: completed Processing complete:\n {'id': '3637be63-2db8-4ecc-bc0f-00afbdf10a55:krea/krea-wan-14b/video-to-video', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/flamingo/files/b/panda/W9bYaX0QBdz6mzlOcKVRo_mF899FFI.mp4'}} ``` {% endcode %}
**Processing time**: 11.4 sec. **Generated Video** (832x480, without sound): {% embed url="" %}