But like many early AI systems, DALL-E 2 struggled with consistent text rendering, often producing garbled words and phrases within images. It also had limitations in following complex prompts with multiple elements,

Users can build and modify scenes step-by-step, like stacking elements from multiple images into one cohesive result. The model shines at rendering legible text on signs or objects, a leap from the garbled output of previous AI image generation models.