AI & ML interests

OmnIA© is an advanced text-to-image generative model engineered to provide creators with unparalleled versatility and fine-grained control over image synthesis across a diverse range of artistic styles. Developed as a distinct foundational model, OmnIA© is incorporating a novel approach to style conditioning, robust prompt adherence, and high-fidelity image output. Furthermore, OmnIA© has been specifically designed to serve as a superior base model for further training by other trainers, offering a more versatile and robust foundation due to its deeply incorporated multiple styles. This document provides a comprehensive overview of OmnIA©'s architecture, its unique multi-style generation capabilities, detailed training methodology, extensive usage guidelines with illustrative examples, and a discussion of its current limitations and future development roadmap. The model is trained on a meticulously curated, high-resolution (2K resolution) dataset of 10,500 images, enabling precise generation of realistic, semi-realistic, anime, western comics, 2.5D, and specific animation-inspired styles without reliance on conventional tags.

OmnIA-DF 's datasets

None public yet