Merge branch 'main' of https://github.com/aimlapi/api-docs

Author: techpro-aimlapi

docs/SUMMARY.md

@@ -254,6 +254,7 @@
     * [Seedance 1.0 lite (Image-to-Video)](api-references/video-models/bytedance/seedance-1.0-lite-image-to-video.md)
     * [Seedance 1.0 pro (Text-to-Video)](api-references/video-models/bytedance/seedance-1.0-pro-text-to-video.md)
     * [Seedance 1.0 pro (Image-to-Video)](api-references/video-models/bytedance/seedance-1.0-pro-image-to-video.md)
+    * [Seedance 1.0 pro fast](api-references/video-models/bytedance/seedance-1.0-pro-fast.md)
     * [OmniHuman](api-references/video-models/bytedance/omnihuman.md)
     * [OmniHuman 1.5](api-references/video-models/bytedance/omnihuman-1.5.md)
   * [Google](api-references/video-models/google/README.md)
@@ -308,8 +309,6 @@
     * [ltxv-2](api-references/video-models/ltxv/ltxv-2.md)
     * [ltxv-2-fast](api-references/video-models/ltxv/ltxv-2-fast.md)
   * [Luma AI](api-references/video-models/luma-ai/README.md)
-    * [Luma 1 (Text-to-Video) \[legacy\]](api-references/video-models/luma-ai/luma-ai-text-to-video-v1-legacy.md)
-    * [Luma Ray 1.6 (Text-to-Video)](api-references/video-models/luma-ai/luma-ai-v2.md)
     * [Luma Ray 2](api-references/video-models/luma-ai/luma-ray-2.md)
     * [Luma Ray Flash 2](api-references/video-models/luma-ai/luma-ray-flash-2.md)
   * [Magic](solutions/magic/README.md)

docs/api-references/model-database.md

@@ -0,0 +1,289 @@
+# Seedance 1.0 pro fast
+
+{% columns %}
+{% column width="66.66666666666666%" %}
+{% hint style="info" %}
+This documentation is valid for the following list of our models:
+
+* `bytedance/seedance-1-0-pro-fast`
+{% endhint %}
+{% endcolumn %}
+
+{% column width="33.33333333333334%" %}
+<a href="https://aimlapi.com/app/bytedance/seedance-1-0-pro-fast" class="button primary">Try in Playground</a>
+{% endcolumn %}
+{% endcolumns %}
+
+## 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
+
+### 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.
+
+{% openapi-operation spec="seedance-1-0-pro-fast" path="/v2/video/generations" method="post" %}
+[OpenAPI seedance-1-0-pro-fast](https://raw.githubusercontent.com/aimlapi/api-docs/refs/heads/main/docs/api-references/video-models/ByteDance/seedance-1-0-pro-fast.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 `complete`, the response will include the final result — with the generated video URL and additional metadata.
+
+{% openapi-operation spec="universal-video-endpoint-fetch" path="/v2/video/generations" method="get" %}
+[OpenAPI universal-video-endpoint-fetch](https://raw.githubusercontent.com/aimlapi/api-docs/refs/heads/main/docs/api-references/video-models/universal-video-fetch.json)
+{% endopenapi-operation %}
+
+## Code Example
+
+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 <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": "bytedance/seedance-1-0-pro-fast",
+        "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",
+        "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
+        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="JS" %}
+{% code overflow="wrap" %}
+```javascript
+const https = require("https");
+const { URL } = require("url");
+
+// Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key
+const apiKey = "<YOUR_AIMLAPI_KEY>";
+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: "bytedance/seedance-1-0-pro-fast",
+    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",
+    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
+        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 %}
+
+<details>
+
+<summary>Response</summary>
+
+{% code overflow="wrap" %}
+```json5
+{'id': 'FGcTGqPuBac0Masr9DI8-', 'status': 'queued', 'meta': {'usage': {'credits_used': 2000000}}}
+Generation ID:   FGcTGqPuBac0Masr9DI8-
+Status: queued. Checking again in 15 seconds.
+Status: generating. Checking again in 15 seconds.
+Processing complete:
+ {'id': 'FGcTGqPuBac0Masr9DI8-', 'status': 'succeeded', 'video': {'url': 'https://cdn.aimlapi.com/rat/seedance-1-0-pro-fast/02176939282693400000000000000000000ffffc0a88025d8e30a.mp4?X-Tos-Algorithm=TOS4-HMAC-SHA256&X-Tos-Credential=AKLTYWJkZTExNjA1ZDUyNDc3YzhjNTM5OGIyNjBhNDcyOTQ%2F20260126%2Fap-southeast-1%2Ftos%2Frequest&X-Tos-Date=20260126T020054Z&X-Tos-Expires=86400&X-Tos-Signature=79dbb3fcd4b9a29728c096ef9da104d49273a8923da0ff6f3806e1ce64eda93c&X-Tos-SignedHeaders=host'}}
+```
+{% endcode %}
+
+</details>
+
+**Processing time**: \~ 34 sec.
+
+**Generated video** (1920x1088, without sound):
+
+{% embed url="https://drive.google.com/file/d/1Gs3P4L1HMxSAZbjQJ3BGpSFTku_mhm-y/view" %}

docs/api-references/text-models-llm/README.md

@@ -1,12 +1,3 @@
 # Luma AI
 
 The Luma AI Dream Machine API allows developers to generate, retrieve, and extend AI-generated content using a variety of inputs. This API is particularly useful for creative applications, such as generating and extending video from text prompts.
-
-{% content-ref url="luma-ai-v2.md" %}
-[luma-ai-v2.md](luma-ai-v2.md)
-{% endcontent-ref %}
-
-{% content-ref url="luma-ai-text-to-video-v1-legacy.md" %}
-[luma-ai-text-to-video-v1-legacy.md](luma-ai-text-to-video-v1-legacy.md)
-{% endcontent-ref %}
-