معرفی و مستندات مدل هوش مصنوعی wan2.2-vace-fun-a14b-outpainting-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-outpainting",
        "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()

# Main function to generate and retrieve the video
def main():
    # Generate the video
    generation_data = generate_video()
    if generation_data and "id" in generation_data:
        generation_id = generation_data["id"]
        print(f"Generation ID: {generation_id}")

        # Poll for the video until it's complete
        while True:
            video_data = get_video(generation_id)
            status = video_data.get("status")

            if status == "completed":
                video_url = video_data.get("video", {}).get("url")
                print(f"Video URL: {video_url}")
                break
            elif status == "failed":
                print("Video generation failed.")
                break
            else:
                print("Video is still being generated...")
                time.sleep(10)  # Wait for 10 seconds before polling again
    else:
        print("Failed to start video generation.")

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
    }
  }
}