from runwayml import RunwayML
client = RunwayML()

# Animate a still image
task = client.image_to_video.create(
    model='gen3a_turbo',
    prompt_image='https://your-cdn.com/landscape.jpg',  # URL to source image
    prompt_text='Camera slowly pans right revealing mountains, gentle wind in trees',
    duration=5,
)
result = task.wait_for_task_output()
print(f"Animated video: {result.output[0]}")

import base64

# Load local image as data URI
with open('photo.jpg', 'rb') as f:
    image_data = base64.b64encode(f.read()).decode()
    data_uri = f"data:image/jpeg;base64,{image_data}"

task = client.image_to_video.create(
    model='gen3a_turbo',
    prompt_image=data_uri,
    prompt_text='Subtle motion, gentle camera push in, atmospheric lighting',
    duration=5,
)

# Transform an existing video with a new style
task = client.video_to_video.create(
    model='gen3a_turbo',
    prompt_video='https://your-cdn.com/input-video.mp4',
    prompt_text='Transform to watercolor painting style, soft colors, artistic brushstrokes',
)
result = task.wait_for_task_output()
print(f"Styled video: {result.output[0]}")

Supported formats: JPEG, PNG, WebP
Supported resolutions:
  - Gen-3 Alpha Turbo: 1280x768 or 768x1280
  - Input images are automatically resized
Max file size: 16MB (URL), varies for data URI