GITBOOK-1103: No subject

Author: kristinaorekhova

docs/SUMMARY.md

@@ -368,6 +368,7 @@
     * [v3-pro/text-to-video](api-references/video-models/kling-ai/v3-pro-text-to-video.md)
     * [v3-pro/image-to-video](api-references/video-models/kling-ai/v3-pro-image-to-video.md)
     * [v3-standard-turbo-image-to-video](api-references/video-models/kling-ai/v3-standard-turbo-image-to-video.md)
+    * [v3-turbo-pro-image-to-video](api-references/video-models/kling-ai/v3-turbo-pro-image-to-video.md)
     * [v3-standard-turbo-text-to video](api-references/video-models/kling-ai/v3-standard-turbo-text-to-video.md)
     * [v3-turbo-pro-text-to-video](api-references/video-models/kling-ai/v3-turbo-pro-text-to-video.md)
   * [Krea](api-references/video-models/krea/README.md)

docs/api-references/video-models/kling-ai/v3-turbo-pro-image-to-video.md

@@ -0,0 +1,255 @@
+# v3-turbo-pro-image-to-video
+
+{% columns %}
+{% column width="66.66666666666666%" %}
+{% hint style="info" %}
+This documentation is valid for the following list of our models:
+
+* `klingai/video-v3-turbo-pro-image-to-video`
+* `kling-video/v3/turbo/pro/image-to-video`
+{% endhint %}
+{% endcolumn %}
+
+{% column width="33.33333333333334%" %}
+<a href="https://aimlapi.com/app/v3-turbo-pro-image-to-video" class="button primary">Try in Playground</a>
+{% endcolumn %}
+{% endcolumns %}
+
+Kling 3.0 Turbo Pro generates high-quality 1080p videos from images with improved lipsync and multishot generation capabilities.
+
+## 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
+
+<details>
+
+<summary>Step-by-Step Instructions</summary>
+
+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.
+
+</details>
+
+## 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
+
+{% hint style="info" %}
+The aspect ratio of the generated video is solely determined by the aspect ratio of the input reference image.
+{% endhint %}
+
+{% openapi-operation spec="video-v3-turbo-pro-image-to-video" path="/v2/video/generations" method="post" %}
+[OpenAPI video-v3-turbo-pro-image-to-video](https://raw.githubusercontent.com/aimlapi/api-docs/refs/heads/main/docs/api-references/video-models/Kling-AI/v3-turbo-pro-image-to-video.json)
+{% endopenapi-operation %}
+
+### 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.
+
+## 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 <YOUR_AIMLAPI_KEY>:
+api_key = "<YOUR_AIMLAPI_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-turbo-pro-image-to-video",
+        "prompt": "Mona Lisa puts on glasses with her hands.",
+        "image_url": "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/mona_lisa_extended.jpg"
+}
+
+    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 = "<YOUR_AIMLAPI_KEY>";
+const baseUrl = "https://api.aimlapi.com/v2";
+
+function generateVideo(callback) {
+  const data = JSON.stringify({"model": "klingai/video-v3-turbo-pro-image-to-video", "prompt": "Mona Lisa puts on glasses with her hands.", "image_url": "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/mona_lisa_extended.jpg"});
+
+  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 %}