From one of the linked papers, it does both - generate from scratch (zero-shot), and edit existing template images. > While our model can render a wide variety

From one of the linked papers, it does both - generate from scratch (zero-shot), and edit existing template images. > While our model can render a wide variety of text prompts zero-shot, it can can have difficulty producing realistic im ages for complex prompts. Therefore, we provide our model with editing capabilities in addition to zero-shot generation, which allows humans to iteratively improve model samples until they match more complex prompts. Specifically, we fine-tune our model to perform image inpainting, finding that it is capable of making realistic edits to existing images using natural language prompts. Unless that only applies to GLIDE and not to DAL-E?