Revolutionizing Text-to-Image Synthesis: UC Berkeley Researchers Utilize Large Language Models in a Two-Stage Generation Process for Enhanced Spatial and Common Sense Reasoning - MarkTechPost

Recent advancements in text-to-image generation have emerged diffusion models that can synthesize highly realistic and diverse images. However, despite their impressive capabilities, diffusion models like Stable Diffusion often need help with prompts requirin…