Runway
Production focused AI image and video creation for modern studios
Runway builds a full creative platform around AI image and video generation with tools that are already used in film, advertising, and online content. Its technology supports text to video, image to video, and rich editing workflows that help teams move from initial concepts to final shots inside a single environment. As a provider in Runware, Runway gives developers studio grade video generation and transformation that can be combined with other image or video models through one unified inference layer, which makes it easier to scale professional production workflows without committing to a single vendor stack.
Models by Runway
Runway Gen-4.5 is an AI video generation model that creates short video clips from text prompts or static images with high visual fidelity and smooth motion. It supports both text-to-video and image-to-video generation with a range of aspect ratios and clip durations. Gen-4.5 emphasizes realistic motion, strong prompt adherence, and controllable composition, making it suitable for cinematic sequences and creative video workflows.
Runway Gen-4 Image Turbo is a faster Gen-4 image model for teams that need quick visual iteration. Generate concepts in seconds from text prompts or references while preserving key style and composition control. Ideal for testing ideas before higher cost image workflows.
Runway Aleph is an in‑context video model for high fidelity cinematic work. It transforms text prompts, reference images, and source clips into new shots with consistent lighting, style, and motion. Developers can build workflows for video editing, angle generation, and scene transformation.
Runway Gen-4 Image is a text-to-image model for production work. It offers strong prompt adherence, fine stylistic control, and visual consistency across scenes and characters. Ideal for pipelines that link still images into video while preserving look and layout.
Runway Gen-4 Turbo is a high speed variant of Gen-4 for rapid video ideation. It turns reference images into short cinematic clips with strong character consistency, smooth motion, and reduced credit cost. Ideal for fast iteration in production and previsualization pipelines.