I was just testing old prompts that previously generated beautiful images, but the prompts no longer work. The images are comparatively boring now. Everything has a kind of plastic look. On the one hand, I can still create very beautiful images with the right triggers, and some images have become photorealistic. But that’s exactly where the problem lies. They probably included more photos in the training data, with the effect that all the typical mistakes from bad photography have flowed into the weighting.
There are problems in NLP as well, but there is still room for improvement everywhere. I think that NLP might have even been improved, but at the same time, the training data may have been weakened. NLP, CLIP, ReCaptioning, GAN and who knows wath else is still in development.
Even is GPT not the best prompt writer, and it rewrites prompts before sending them to DallE, and even this can fool us, specially if prompts are translated.
OpenAI give us not much extras. No seeds, no selection of model data, no options, no feedback… etc other companies are there more advanced.
It is also possible that customers are now receiving reduced computing power due to the high number of requests. So, it’s likely several problems that overlap with each other. However, the fact that the system always generates the same moon, and that there are template effects, can really only be due to the weighting data.
The system needs a filter before training, and the data needs to be retrained.
I see that more and more people with longer Experimentes detect the differences.
DallE is a Art tool. i hope they have at least 1 artist in the team, and not only technicians.
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