Multi-image Conditioning

Multi-image Conditioning uses several images as control inputs for one generation task, improving consistency across outputs. It extends single Reference Image workflows in Text-to-Image Generation.

Related terms

Related terms

  • Multi-reference Field

    CMS

    A Multi-reference Field is a CMS relationship field that stores references to multiple records from another collection.

  • Multi Collection Reference Field

    CMS

    A Multi Collection Reference Field creates a one-to-many relationship by allowing a CMS item to reference multiple records from another collection.

  • Retrieval-Augmented Generation (RAG)

    AI

    Retrieval-Augmented Generation (RAG) enriches model outputs by fetching external knowledge at runtime and conditioning generation on it.

  • Style Reference

    AI

    Style Reference lets you guide the aesthetic of generated assets by pointing the model to example visuals. It is frequently combined with Reference Image inputs in Text-to-Image Generation workflows.

  • Reference Image

    AI

    A Reference Image is a conditioning input that guides composition, structure, or aesthetics during generation. It is central to Style Reference workflows and Multi-image Conditioning.

  • Generative Expand

    AI

    Generative Expand increases image boundaries and predicts plausible continuation beyond original edges. It is commonly used alongside Generative Fill in broader Text-to-Image Generation workflows.

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