Kollage by Kanana

Kollage is positioned within Kakao’s Kanana family as a creativity-oriented multimodal model. Rather than focusing solely on reasoning or language, it is tuned to blend text prompts, visual inputs, and stylistic guidance into unified outputs. The model can generate images from text, combine multiple images into a cohesive layout, or mix text and visuals in a single canvas. Its training emphasizes coherence, style consistency, and controllability—so creators can request specific compositions, maintain identity or branding across media, and refine results iteratively.

For enterprise use, Kollage supports structured outputs and API integration, meaning it can be embedded into design tools, marketing pipelines, or product workflows. It’s also optimized for efficiency, with quantization and scalable inference for real-time collaboration or high-volume asset generation. Typical use cases include ad and campaign content, social media creative at scale, UI/UX mockups, educational material generation, and brand asset exploration.

Kollage by Kanana represents the creative counterpart to reasoning-centric models like Kanana Flag and multimodal reasoning models like Kanana-o, rounding out Kakao’s AI ecosystem with a focus on visual storytelling and cross-media synthesis.