Draft:Frames (AI image generation)

  • Comment: Personally I feel it would be better if it was moved to "Runway Frames" as right now the title is a bit too disambiguated and it would then match up with the title in the lead. Zippybonzo | talk | contribs (they/them) 19:35, 23 September 2025 (UTC)
  • Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Itsjuliamartins (talk) 17:30, 19 September 2025 (UTC)

Examples of preset visual styles available in Runway Frames (Gen-4 Images)

Runway Frames, also known as Gen-4 Images, is an artificial intelligence image generation model developed by Runway AI, Inc. Released in November 2024, the model generates images from text descriptions and is part of Runway's Gen-4 series of generative AI models.[1][2]

Overview

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Runway Frames is a text-to-image generation model that creates images based on text prompts provided by users. The system includes preset style options and allows for custom style creation through reference images.

History

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Initial release

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Runway announced Frames in November 2024.[1] The initial release was limited to participants in Runway's Creators Program before wider deployment.[3]

Commercial Availability

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On January 10, 2025, Frames became available to users with Runway's Unlimited ($95/month or $912 annually) and Enterprise subscription plans.[4]

Integration with Gen-4

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According to Runway's official documentation, Frames is now branded as "Gen-4 Images," indicating its integration into the Gen-4 model family released in March 2025.[1] This positions the image generation capabilities alongside Gen-4's video generation functions.[5]

Technical specifications

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Frames is described by Runway as a foundational AI model that processes text prompts to generate images.[1] The system employs neural networks, though specific architectural details, training methodologies, and dataset sources have not been publicly disclosed by the company.[6]

Functionality

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Text-to-image generation

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The primary function involves converting text descriptions into generated images.[3] Users input text prompts describing desired visual content, and the model produces corresponding images.[1]

Style options

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The model includes 19 preset visual styles at launch, covering various aesthetic categories including portraiture, vintage aesthetics, manga-inspired designs, and architectural photography styles.[1] Users can also create custom styles by providing reference images alongside text descriptions.[1]

Usage and applications

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Creative industries

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Users in film and television production have reported using the model for concept art and storyboarding purposes.[6][7]

Commercial applications

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Some marketing agencies have reported using Frames for creating visual content for campaigns.[6] The model's role typically supplements rather than replaces traditional creative processes, with outputs often requiring additional editing or serving as conceptual starting points.

References

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  1. ^ a b c d e f g "Runway Research | Introducing Frames". runwayml.com. Retrieved 2025-09-19.
  2. ^ Lloyd Coombes (2024-11-26). "Runway launches Frames — a new AI image generator that creates custom worlds". Tom's Guide. Retrieved 2025-09-19.
  3. ^ a b Franzen, Carl (17 January 2025). "Runway's new AI image generator Frames is here, and it looks fittingly cinematic". VentureBeat.
  4. ^ "Runway | Tools for human imagination". runwayml.com. Retrieved 2025-09-19.
  5. ^ Wiggers, Kyle (2025-03-31). "Runway releases an impressive new video-generating AI model". TechCrunch. Retrieved 2025-09-19.
  6. ^ a b c Horsey, Julian (2024-11-26). "Runway Launches Frames its AI Still Image Generator". Geeky Gadgets. Retrieved 2025-09-19.
  7. ^ Albergotti, Reed. "The new Hollywood: Runway's AI models edge closer to simulating reality".