runway-ml skill

Overview

This skill provides practical, step-by-step guidance for using Runway ML to generate AI videos, perform image editing, and apply creative AI tools. It explains workflows, model choices, prompt techniques, and export settings to get predictable, high-quality results. The guidance is tool-focused and aimed at creators, developers, and marketers who want faster iteration and better outputs with Runway ML.

How this skill works

The skill inspects your project goals (video length, style, resolution, and source assets) and recommends appropriate Runway models and module chains. It explains how to prepare inputs, craft prompts, adjust model parameters, and compose outputs for editing or final export. It also covers common pitfalls and suggests quick fixes for issues like artifacts, timing, or color inconsistency.

When to use it

• When you need to generate short AI-driven videos from text or image prompts.
• When you want to edit or replace elements in a video using generative tools (inpainting, background replacement).
• When you require guidance selecting models and parameters for a specific visual style or resolution.
• When you want workflow tips for integrating Runway outputs into a video editing pipeline.
• When troubleshooting artifacts, slow inference, or export compatibility problems.

Best practices

• Start with a clear project brief: define length, aspect ratio, and target platforms before generation.
• Use high-quality reference images and short, specific prompts to reduce ambiguity.
• Iterate quickly with low-resolution previews, then finalize at target resolution to save time.
• Combine complementary modules (e.g., motion, color grading, and inpainting) rather than one-shot heavy edits.
• Export intermediate frames or layers for manual touch-up in traditional editors when needed.

Example use cases

• Create a 30-second promotional clip from a short script and a mood image using text-to-video models.
• Remove or replace background elements across a product demo using inpainting and matting modules.
• Generate stylized character animations by combining motion transfer with frame interpolation.
• Produce social media-ready clips with automated color grading and aspect-ratio optimization.
• Prototype visual concepts quickly for pitch decks by generating multiple style variations.

FAQ