We present a novel framework to advance generative artificial intelligence (AI) applications in the realm of printed art products, specifically addressing large-format products that require high-resolution artworks. The framework consists of a pipeline that addresses two major challenges in the domain: the high complexity of generating effective prompts, and the low native resolution of images produced by diffusion models. By integrating AI-enhanced prompt generations with AI-powered upscaling techniques, our framework can efficiently produce high-quality, diverse artistic images suitable for many new commercial use cases. Our work represents a significant step towards democratizing high-quality AI art, opening new avenues for consumers, artists, designers, and businesses.
@article{arxiv.2405.18247,
title = {Generating Print-Ready Personalized AI Art Products from Minimal User Inputs},
author = {Noah Pursell and Anindya Maiti},
journal= {arXiv preprint arXiv:2405.18247},
year = {2024}
}