Professional video-to-video synthesis for structure-aware stylistic transformations.
Runway Gen-1 is a pioneering video-to-video generative AI model designed for professional creators, VFX artists, and marketing teams. Unlike pure text-to-video models, Gen-1 focuses on structure-preserving transformations, using a source video as a structural scaffold. It utilizes a latent diffusion architecture that allows for the decoupling of content and style, enabling users to apply the aesthetic of an image or a text prompt to existing footage while maintaining temporal consistency. In the 2026 market, Gen-1 remains a critical tool for pre-visualization and high-end creative workflows, bridging the gap between low-fidelity 3D renders and final cinematic outputs. Its technical strength lies in its ability to respect the physics and spatial relationships of the original clip, making it ideal for architectural visualization, fashion film stylization, and rapid prototyping of complex visual effects. By 2026, the model has been further optimized for lower latency and higher resolution, supporting enterprise-grade pipelines through robust API integration and collaborative features within the Runway Research ecosystem.
Uses a reference image or text prompt to redefine every frame of a video using a diffusion process.
A creative AI video generation engine designed for musicians, artists, and storytellers to produce audio-reactive visuals.
Professional-grade generative video for cinematic consistency and enterprise workflows.
Transforming still images into immersive digital humans and real-time conversational agents.
The ultimate AI creative studio for hyper-realistic virtual influencers and e-commerce content production.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Turns rough mockups or 3D wireframes into fully rendered cinematic scenes.
Allows the user to apply AI transformations only to specific subjects within a video via rotoscoping.
A fine-tuning parameter that controls the weight of the original geometry vs. the AI's creative interpretation.
Deterministic generation control using integer seeds to maintain consistency across multiple clips.
Directs specific areas of the video to move in certain directions while maintaining the Gen-1 style.
Enterprise-level ability to train the Gen-1 model on a specific brand's aesthetic or character design.
Rendering high-fidelity 3D flythroughs is time-consuming and expensive.
Registry Updated:2/7/2026
Generate cinematic render.
Transforming a single product video into multiple thematic advertisements.
Traditional rotoscoping and hand-drawing for anime style is labor-intensive.