runway-hello-world

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Runway hello world — AI video generation and creative AI platform. Use when working with Runway for video generation, image editing, or creative AI. Trigger with phrases like "runway hello world", "runway-hello-world", "AI video generation".

AI & Automation 2,359 stars 334 forks Updated today MIT

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# Runway Hello World ## Overview Generate your first AI video from a text prompt using Runway's Gen-3 Alpha model. ## Prerequisites - Completed `runway-install-auth` - API credits available in your Runway account ## Instructions ### Step 1: Text-to-Video Generation ```python from runwayml import RunwayML client = RunwayML() # Create a text-to-video generation task task = client.image_to_video.create( model='gen3a_turbo', prompt_text='A golden retriever running through a field of sunflowers, cinematic lighting, slow motion', duration=5, # 5 or 10 seconds ratio='16:9', # 16:9 or 9:16 ) print(f"Task created: {task.id}") ``` ### Step 2: Poll for Completion ```python import time # The SDK has a built-in helper for polling task_result = client.tasks.retrieve(task.id) # Or poll manually while task_result.status not in ('SUCCEEDED', 'FAILED'): time.sleep(5) task_result = client.tasks.retrieve(task.id) print(f" Status: {task_result.status}") if task_result.status == 'SUCCEEDED': print(f"Video URL: {task_result.output[0]}") else: print(f"Failed: {task_result.failure}") ``` ### Step 3: Download the Video ```python import urllib.request if task_result.status == 'SUCCEEDED': video_url = task_result.output[0] urllib.request.urlretrieve(video_url, 'output.mp4') print("Video saved to output.mp4") ``` ### Step 4: Using the Built-in Wait Helper ```python # Simpler approach — SDK polls automatically task = client.image_to_video.cre...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
8 months ago
Last Updated
today
Language
Python
License
MIT

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