  Text-to-image generation models have grown in popularity due to their ability
to produce high-quality images from a text prompt. One use for this technology
is to enable the creation of more accessible art creation software. In this
paper, we document the development of an alternative user interface that
reduces the typing effort needed to enter image prompts by providing
suggestions from a large language model, developed through iterative design and
testing within the project team. The results of this testing demonstrate how
generative text models can support the accessibility of text-to-image models,
enabling users with a range of abilities to create visual art.
