runway

AI video generation from text converts descriptive prompts into video content via the Runway API. This Skill automates the process by handling authentication, API headers, and JSON payloads for models like gen4_turbo and veo3.1, eliminating manual curl setup and reducing generation time for short-form video creation.

Image-to-video conversion transforms static images into dynamic video sequences. This Skill provides pre-configured curl commands and correct headers (Authorization, X-Runway-Version, Content-Type) required by the Runway API, letting you skip manual endpoint configuration and directly generate videos from image inputs.

Video upscaling enhances resolution and quality using the video_upscale endpoint. This Skill automates the scaling process by formatting requests with proper authentication and model parameters, delivering upscaled output without manual API orchestration or header management.

Yes, the Runway API requires RUNWAY_API_KEY set in your environment, base URL https://api.dev.runwayml.com/v1, and specific headers for authentication. This Skill handles header injection and request formatting so you only need to provide the API key and your prompt or media input.

Sound effect generation complements video creation via the sound_effect endpoint. This Skill automates audio synthesis requests with correct payload structure and headers, letting you add generated audio to video workflows without separate API calls or manual endpoint configuration.

The Runway API supports models including gen4_turbo, veo3.1, and gen4_aleph for video generation, plus dedicated video_upscale and sound_effect endpoints. This Skill abstracts model selection and payload formatting, letting you specify the model and input media without manually constructing curl requests.