  Creating stylized visualization requires going beyond the limited, abstract,
geometric marks produced by most tools. Rather, the designer builds stylized
idioms where the marks are both transformed (e.g., photographs of candles
instead of bars) and also synthesized into a 'scene' that pushes the boundaries
of traditional visualizations. To support this, we introduce viz2viz, a system
for transforming visualizations with a textual prompt to a stylized form. The
system follows a high-level recipe that leverages various generative methods to
produce new visualizations that retain the properties of the original dataset.
While the base recipe is consistent across many visualization types, we
demonstrate how it can be specifically adapted to the creation of different
visualization types (bar charts, area charts, pie charts, and network
visualizations). Our approach introduces techniques for using different prompts
for different marks (i.e., each bar can be something completely different)
while still retaining image "coherence." We conclude with an evaluation of the
approach and discussion on extensions and limitations.
