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This is an implementation of DemoFusion . DemoFusion provides highres txt2img capabilities based on SDXL. See the demo example that showcases a txt to img run that provides an img in 1024x1024, 2048x2048, and 3076x3076 resolution in under 6min
Abstract
High-resolution image generation with Generative Artificial Intelligence (GenAI) has immense potential but, due to the enormous capital investment required for training, it is increasingly centralised to a few large corporations, and hidden behind paywalls. This paper aims to democratise high-resolution GenAI by advancing the frontier of high-resolution generation while remaining accessible to a broad audience. We demonstrate that existing Latent Diffusion Models (LDMs) possess untapped potential for higher-resolution image generation. Our novel DemoFusion framework seamlessly extends open-source GenAI models, employing Progressive Upscaling, Skip Residual, and Dilated Sampling mechanisms to achieve higher-resolution image generation. The progressive nature of DemoFusion requires more passes, but the intermediate results can serve as “previews”, facilitating rapid prompt iteration.
@article{du2023demofusion,
title={DemoFusion: Democratising High-Resolution Image Generation With No $$$},
author={Ruoyi Du and Dongliang Chang and Timothy M. Hospedales and Yi-Zhe Song and Zhanyu Ma},
journal={arXiv},
year={2023}
}
