Runway introduces Frames, a GenAI-powered text-to-image model offering unmatched stylistic control and visual fidelity for creatives.

Runway Frames addresses the challenges of inconsistency and limited control in image generation by enabling users to craft precise, cinematic visual. Its advanced prompting system allows nuanced adjustments in lighting, textures, and compositions, making it ideal for industries like art direction, editorial, and pre-visualization. Frames also supports stylistic consistency, enabling users to establish distinct visual identities for projects while generating variations that remain true to the original style.

At launch, Frames includes 19 preset styles, from vivid color palettes to anime and Nordic minimalism, providing diverse creative possibilities. Frames differentiates itself with precise stylistic consistency, allowing users to maintain a specific visual identity across projects. Unlike previous models that delivered random results, Frames ensures that generated images align with intended styles, which can be vital for maintaining brand or project aesthetics. Users can further refine these presets to achieve custom looks. Integrated seamlessly with Runway’s Gen-3 Alpha Turbo image-to-video models, Frames allows creators to transform still images into dynamic videos with a single click, streamlining workflows for filmmakers and designers.

Runway emphasizes safety and ethical AI use. Frames embeds invisible watermarks in all outputs to comply with provenance standards and prevent misuse. The model also includes robust content moderation to block harmful or inappropriate imagery, balancing creative freedom with accountability. Efforts to reduce bias ensure fair representation across demographics and styles.

With its blend of precision, flexibility, and safety, Frames sets a new standard for GenAI-powered visual creation, empowering professionals to explore and execute their creative visions.