I have considerably less experience with image generation than text generators, but I kind of expect the issue to be only truly fixed if people train the model with a bunch of pictures of glasses full of wine.
I’ll run a test using a local tree, that is supposed to look like this:
Bingo - this tree is non-existent outside my homeland, so people barely speak about it in English - and odds are that the model was trained with almost no pictures of it. However one of the names you see for it in English is Paraná pine, so it’s modelling it after images of European pines - because odds are those are plenty in its training set.
I have considerably less experience with image generation than text generators, but I kind of expect the issue to be only truly fixed if people train the model with a bunch of pictures of glasses full of wine.
I’ll run a test using a local tree, that is supposed to look like this:
@aihorde@lemmy.dbzer0.com draw for me a picture of three Araucaria angustifolia trees style:flux
Here are some images matching your request
Prompt: a picture of three Araucaria angustifolia trees
Style: flux
Bingo - this tree is non-existent outside my homeland, so people barely speak about it in English - and odds are that the model was trained with almost no pictures of it. However one of the names you see for it in English is Paraná pine, so it’s modelling it after images of European pines - because odds are those are plenty in its training set.
So we could keep having it generate these and poison its own training data!
That fourth picture is just four penguins in a trenchcoat