Textual Inversion

Textual Inversion introduces new concept tokens by learning embeddings that map to visual ideas. It is lightweight compared to full training and connects closely with Embeddings and DreamBooth workflows.

Related terms

Related terms

  • Embeddings

    AI

    Embeddings are numerical vectors that capture semantic meaning, enabling similarity search, clustering, and retrieval workflows.

    Related AI terms: CLIP and Textual Inversion.

  • Prompt-to-Prompt Editing

    AI

    Prompt-to-Prompt Editing changes specific image attributes by adjusting textual instructions while preserving overall scene structure. It is closely related to Prompt Enhancement and iterative Text-to-Image Generation.