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Runway Gen-4 Turbo

Gen-4 Turbo enables users to generate consistent characters across various lighting conditions, locations, and treatments using a single reference image. It offers enhanced speeds at a lower cost, making it a powerful tool for quickly iterating ideas.
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Runway Gen-4 Turbo

High-speed AI model for consistent, high-quality video generation

Model Overview Card for Runway Gen-4 Turbo

Basic Information

  • Model Name: Runway Gen-4 Turbo​
  • Developer/Creator: Runway​
  • Model Type: AI Video Generation Model​​

Description

Overview

Runway Gen-4 Turbo is the fastest and most advanced video generation model in Runway's Gen-4 series. It enables rapid creation of high-quality videos, generating 10 seconds of footage in just 30 seconds. Designed for filmmakers, content creators, and visual artists, it combines speed, fidelity, and dynamic motion to enhance creative workflows.

Key Features
  • Rapid Video Generation: Produces 10-second videos in just 30 seconds, ideal for iterative workflows.
  • Visual Consistency: Maintains coherent characters, objects, and environments across scenes.
  • Realistic Motion Simulation: Incorporates real-world physics for lifelike movements and transitions.
  • Enhanced Scene Coherence: Ensures stability in lighting, object tracking, and stylistic elements.
  • Flexible Output Formats: Supports multiple resolutions (e.g., 1280x720 px) and aspect ratios (16:9, 9:16).
Intended Use
  • Film and Media Production: Assists in creating consistent characters and scenes for storytelling.​
  • Advertising: Enables rapid development of promotional content with consistent branding elements.​
  • Visual Effects: Integrates seamlessly with live-action footage, animation, and existing VFX pipelines.​

Technical Details

Architecture

Runway Gen-4 Turbo employs an optimized Transformer-based architecture with enhanced inference algorithms and hardware acceleration for near real-time generation speeds.

Training Data

The model was trained on diverse datasets combining real-world footage, synthetic video data, and multimodal corpora to ensure fidelity in motion rendering and scene coherence.

Data Source and Size

Includes terabytes of curated video data alongside millions of image-text pairs to refine prompt alignment and visual consistency.

Knowledge Cutoff

March 2025

Performance Metrics

Accuracy

Achieves high fidelity in character consistency, object tracking, and motion realism across diverse scenes.

Speed

Outperforms previous models with a generation time of 30 seconds for a 10-second video. That's3x faster than Gen-3 Alpha Turbo.

Robustness

Handles complex prompts effectively but may require iterative refinement for highly intricate or abstract scenarios.

Usage

Code Samples:

The model is available on the AI/ML API platform as "Runway Gen-4 Turbo" .

To get the generated video

Params:
  • "prompt": string - A non-empty string up to 1000 UTF-16 code points in length. This should describe in detail what should appear in the output.
  • "image_url": url - A HTTPS URL or data URI containing an encoded image to be used as the first frame of the generated video.
  • "duration": 5 | 10 - The number of seconds of duration for the output video
  • "ratio": "16:9" | "9:16" | "4:3" | "3:4" | "1:1" | "21:9" - The aspect ratio of the generated video.
  • "seed": integer - Varying the seed integer is a way to get different results for the same other request parameters. Using the same seed integer for an identical request will produce similar results.
  • "watermark": boolean - A boolean indicating whether or not the output video will contain a Runway watermark.
API Documentation

Detailed API Documentation is available here.

Ethical Guidelines

Runway emphasizes ethical considerations in AI development by promoting transparency regarding the model's capabilities and limitations. They encourage responsible usage to prevent misuse or harmful applications of generated content.

Licensing

Runway Gen-4 Turbo is available under a commercial license that allows both commercial and non-commercial usage rights while ensuring compliance with ethical standards.

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