WorldSmith: Iterative and Expressive Prompting for World Building with a Generative AI
Crafting a rich and unique environment is crucial for fictional world-building, but can be difficult to achieve since illustrating a world from scratch requires time and significant skill. We investigate the use of recent multi-modal image generation systems to enable users iteratively visualize and...
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Main Authors: | , , , |
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Format: | Journal Article |
Language: | English |
Published: |
25-08-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | Crafting a rich and unique environment is crucial for fictional
world-building, but can be difficult to achieve since illustrating a world from
scratch requires time and significant skill. We investigate the use of recent
multi-modal image generation systems to enable users iteratively visualize and
modify elements of their fictional world using a combination of text input,
sketching, and region-based filling. WorldSmith enables novice world builders
to quickly visualize a fictional world with layered edits and hierarchical
compositions. Through a formative study (4 participants) and first-use study
(13 participants) we demonstrate that WorldSmith offers more expressive
interactions with prompt-based models. With this work, we explore how creatives
can be empowered to leverage prompt-based generative AI as a tool in their
creative process, beyond current "click-once" prompting UI paradigms. |
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DOI: | 10.48550/arxiv.2308.13355 |