Baidu's latest research introduces the UNIMO-G framework, addressing the challenges of text-to-image generation. It employs a multi-modal conditional diffusion framework to handle intertwined text and visual inputs, unifying image generation capabilities. It includes a multi-modal large language model and a conditional denoising diffusion network, utilizing a two-stage training strategy for efficient generation. It excels in text-to-image generation and zero-shot synthesis, particularly adept at processing complex multi-modal prompts. UNIMO-G brings new possibilities to the field of text-to-image generation, with the multi-modal conditional diffusion framework demonstrating broad application value.