| name | runway-performance-tuning |
| description | Runway performance tuning — 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 performance tuning", "runway-performance-tuning", "AI video generation".
|
| allowed-tools | Read, Write, Edit, Bash(pip:*), Bash(npm:*), Bash(curl:*), Grep |
| version | 1.4.0 |
| license | MIT |
| author | Jeremy Longshore <jeremy@intentsolutions.io> |
| tags | ["saas","runway","ai","video-generation","creative"] |
| compatibility | Designed for Claude Code |
Runway Performance Tuning
Overview
Implementation patterns for Runway performance 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 performance 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
Next Steps
See related Runway skills for more workflows.
