Gen-2 by Runway

Claim Tool

Last updated: March 28, 2026

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What is Gen-2 by Runway?

Runway Gen-2 is a machine learning–powered platform and research initiative for creative video tools, highlighted by Green Screen for real-time rotoscoping and object masking. Built on interactive segmentation (a UNet-based Refinement Network) and temporal mask tracking (a Propagation Network), it enables fast, user‑guided editing in the browser at up to 63 FPS on 720p via streaming technology. Runway’s research further explores video diffusion (e.g., RaMViD with 3D convolutions), multimodal text-guided media editing with CLIP, and advanced generative ensembles like eDiff‑I—advancing the mission to build next‑generation creative tools—and supports talent development through a paid Acceleration Program with mentorship and GPU clusters.

Category

Video Editing

Gen-2 by Runway's Top Features

Real-time, web-based video masking and rotoscoping

Green Screen with interactive include/exclude clicks for precise object selection

Refinement Network: UNet-based interactive segmentation for arbitrary objects

Propagation Network: temporal mask tracking across frames

Performance reported up to 63 FPS at 720p in-browser

Chroma key export for downstream editing pipelines

Streaming technology integration for low-latency processing

Research into video diffusion with 3D convolutions (e.g., RaMViD)

Multimodal, text-guided media editing via CLIP

Generative ensemble methods such as eDiff‑I for text-to-image synthesis

Mission-driven focus on next-generation creative ML tools

Acceleration Program providing curriculum, mentorship, and access to GPU clusters

Frequently asked questions about Gen-2 by Runway

Gen-2 by Runway's pricing

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    Use Cases

    Video editors

    Quickly isolate subjects and replace backgrounds using real-time masks for faster turnarounds.

    Filmmakers and VFX artists

    Accelerate rotoscoping and apply effects selectively with temporally consistent masks.

    Social media creators

    Create chroma key overlays and stylized cutouts directly in the browser without heavy desktop suites.

    Advertisers and marketers

    Swap backgrounds and produce clean product cutouts for campaign assets at speed.

    Journalists and newsrooms

    Anonymize subjects by masking faces or objects quickly and consistently across frames.

    Motion designers

    Track objects to apply color grading, glows, or composited elements that follow movement.

    Educators and instructors

    Demonstrate ML-driven segmentation and video editing techniques live in class.

    Research scientists

    Prototype and evaluate video diffusion approaches (e.g., with 3D convolutions) for generation and editing.

    Aspiring ML engineers

    Leverage the Acceleration Program’s mentorship and GPU clusters to transition into ML roles.

    Remote creative teams

    Use web-based, streaming workflows for real-time reviews and collaborative edits.

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