thedixitjain Runway Deploy Integration
Overview
Implementation patterns for Runway deploy integration — AI video generation platform.
Prerequisites
- Completed
runway-install-authsetup
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 deploy integration
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.
Source: jeremylongshore/claude-code-plugins-plus-skills → skills/.curated/runway-deploy-integration/SKILL.md
Also appears in: jeremylongshore/claude-code-plugins-plus-skills/plugins/saas-packs/runway-pack/skills/runway-deploy-integration/SKILL.md