Creating AI Videos

curl -X POST https://api.skytells.ai/v1/predictions \
  -H "x-api-key: $SKYTELLS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "truefusion-video-pro",
    "input": {
      "prompt": "A golden retriever running through autumn leaves in a park, slow motion, cinematic, 4K",
      "duration_seconds": 5,
      "aspect_ratio": "16:9",
      "fps": 24
    },
    "webhook": "https://yourapp.com/api/webhooks/skytells",
    "webhook_events_filter": ["completed"]
  }'

import time
import skytells, os

client = skytells.Client(api_key=os.environ["SKYTELLS_API_KEY"])

def generate_video(prompt: str, duration: int = 5) -> str:
    """Generate a video and wait for it. Returns the MP4 URL."""
    prediction = client.predictions.create(
        model="truefusion-video-pro",
        input={"prompt": prompt, "duration_seconds": duration, "aspect_ratio": "16:9"},
        wait=False,
    )

    print(f"Queued: {prediction.id}")

    while prediction.status not in ("succeeded", "failed", "canceled"):
        time.sleep(5)
        prediction = client.predictions.get(prediction.id)
        print(f"  [{prediction.status}] {prediction.id}")

    if prediction.status != "succeeded":
        raise RuntimeError(f"Video failed: {prediction.error}")

    print(f"Done: {prediction.output[0]}")
    return prediction.output[0]

url = generate_video("A drone flyover of a mountain range at golden hour, cinematic")

import urllib.request
import os

def download_video(cdn_url: str, output_path: str) -> str:
    """Download a video from Skytells CDN to local storage."""
    os.makedirs(os.path.dirname(output_path), exist_ok=True)
    urllib.request.urlretrieve(cdn_url, output_path)
    size_mb = os.path.getsize(output_path) / 1024 / 1024
    print(f"Saved {size_mb:.1f}MB → {output_path}")
    return output_path

download_video(video_url, "outputs/video_abc123.mp4")