You can try to reverse image search - from what I've seen of other people doing this, the renditions are quite distinct. The diffusion process is ultimately the

You can try to reverse image search - from what I've seen of other people doing this, the renditions are quite distinct. The diffusion process is ultimately the root of the model's ability to not just copy images. Variational methods truly allow for the learning of a distribution, which is why VAEs can generate new data and AEs can't. Also, practically from a data point of view, the same object can be represented in numerous ways (different artistic styles, different filters, abstract paintings, etc.) and the model has to optimize across all of these samples. What this means is that the model truly is forced to learn the semantic meaning behind a concept and not just rely on specific features. Check out the dropdown under the "Significance of CLIP to DALL-E 2" section in the article