معرفی و مستندات مدل هوش مصنوعی wan2.2-vace-fun-a14b-depth-image-to-video

import requests
import time

# replace <YOUR_AI-KARAPI_KEY> with your actual ای آی کار (AI-KAR) key
api_key = "<YOUR_AI-KARAPI_KEY>"
base_url = "https://api.ai-kar.com/v1"

# 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": "alibaba/wan2.2-vace-fun-a14b-depth",
        "video_url": "https://storage.googleapis.com/falserverless/example_inputs/wan_animate_input_video.mp4",
        "prompt": "A lone woman strides through the neon-drenched streets of Tokyo at night.  Her crimson dress, a vibrant splash of color against the deep blues and blacks of the cityscape, flows slightly with each step. A tailored black jacket, crisp and elegant, contrasts sharply with the dress's rich texture. Medium shot:  The city hums around her, blurred lights creating streaks of color in the background. Close-up:  The fabric of her dress catches the streetlight's glow, revealing a subtle silk sheen and the intricate stitching at the hem. Her black jacket’s subtle texture is visible – a fine wool perhaps, with a matte finish. The overall mood is one of quiet confidence and mystery, a vibrant woman navigating a bustling, nocturnal landscape. High resolution 4k.",
        "resolution": "720p",
    }
    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 = 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)
    # Trying to retrieve the video from the server every 10 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")
            print("Status:", status)
            if status == "waiting" or status == "active" or  status == "queued" or status == "generating":
                print("Waiting for video generation...")
                time.sleep(10)
            elif status == "completed":
                video_url = response_data.get("video", {}).get("url")
                print("Video URL:", video_url)
                break
            elif status == "failed":
                error = response_data.get("error")
                print("Error:", error)
                break
            else:
                print("Unexpected status:", status)
                break

if __name__ == "__main__":
    main()

{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "#",
    "duration": 8
  },
  "duration": 8,
  "error": null,
  "meta": {
    "usage": {
      "tokens_used": 120000
    }
  }
}