runway-cost-tuning

Runway Cost Tuning

Overview

Implementation patterns for Runway cost tuning — AI video generation platform.

Prerequisites

• Completed runway-install-auth setup

Instructions

Step 1: SDK Pattern

from runwayml import RunwayML

client = RunwayML()

task = client.image_to_video.create(
    model='gen3a_turbo',
    prompt_text='A serene lake at dawn, mist rising, birds flying',
    duration=5,
)
result = task.wait_for_task_output()
if result.status == 'SUCCEEDED':
    print(f"Video: {result.output[0]}")

Output

• Runway integration for cost tuning

Error Handling

Error	Cause	Solution
401 Unauthorized	Invalid API key	Check RUNWAYML_API_SECRET
402 Insufficient credits	No credits	Add credits at dev.runwayml.com
Task FAILED	Content policy	Adjust prompt

Resources

• Runway API Documentation
• Python SDK

Next Steps

See related Runway skills for more workflows.