The Beijing Academy of Artificial Intelligence (BAAI) recently announced the launch of a brand-new all-in-one visual generation model, OmniGen, marking a significant breakthrough in the field of image generation. The OmniGen model is known for its unification, simplicity, and cross-task knowledge transfer capabilities, allowing it to handle multiple image generation tasks within a single framework, including text-to-image generation, image editing, theme-driven generation, and visual condition generation. Furthermore, OmniGen can also tackle classic computer vision tasks such as image denoising and edge detection.

Recently, a research team from the Beijing Academy of Artificial Intelligence launched a new image generation model called OmniGen. Unlike previous tools such as Stable Diffusion, which focused on a single task, OmniGen's biggest highlight is its multi-capability: it can handle a variety of image generation tasks within a unified framework, including text-to-image generation and image editing, making it a versatile player. This means that users only need to provide simple prompts.