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Comment by mensetmanusman | Hacker News Reader

It’s not possible if there are ~no images like this in the training set.

These AIs can generate images that are quite different to anything found in the training set. This case seems more about overfitting.

Have you read all the comments?

Some users achieved it by having the chatbot describe in detail a glass full of wine, and then use that output in a new context to generate the image.

I think that's a very interesting take away.

This is the approach I use to get ChatGPT to generate images that get around copyright. E.g.

Me: Create something in the style of Escher AI: Can't due to copyright Me: Precisely describe in detail <insert artwork here> such that I can use it as a prompt to generate an image AI: <prompt> Me: <prompt>

9 times out of 10 it works really well.

In all fairness there probably aren't any images of Gordon Ramsey riding an Ostrich on the moon in its training set either but it manages that.

I tried this prompt several times in Ideogram, both as realistic and also design-based images and it couldn't do it at all.

I haven't yet tried it with a more elaborate prompt but it's interesting to me that it can do the most incredible and amazing things but can't do something that sounds simple.

It wouldn’t be able to do that without an ostrich in the training set. There is a subtle but important difference between combining and what is being combined.

Maybe take a look through the linked thread, some did manage to do so.

I eventually went the route of describing capillary effects of water, changing the water color, changing the type of water container.

Managing the travel through the knowledge graphs is becoming a skill :)

Why would this be the case? These AI image generators can generate very weird combinations of stuff that certainly aren’t shown in a training image.

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