runway-core-workflow-b

# Runway Core Workflow B ## Overview Image-to-video and video-to-video generation: animate still images and transform existing videos. ## Prerequisites - Completed `runway-core-workflow-a` ## Instructions ### Step 1: Image-to-Video ```python 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]}") ``` ### Step 2: Image-to-Video with Data URI ```python 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, ) ``` ### Step 3: Video-to-Video (Style Transfer) ```python # 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]}") ``` ### Step 4: Image...