Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

arXiv:2402.17245v1 Announce Type: new
Abstract: In this work, we share three insights for achieving state-of-the-art aesthetic quality in text-to-image generative models. We focus on three critical aspects for model improvement: enhancing color and contrast, improving generation across multiple aspect ratios, and improving human-centric fine details. First, we delve into the significance of the noise schedule in training a diffusion model, demonstrating its profound impact on realism and visual fidelity. Second, we address the challenge of accommodating various aspect ratios in …

abstract art arxiv color contrast cs.ai cs.cv focus generative generative models human human-centric image image generation improvement insights multiple playground quality state text text-to-image type work