To be fair, the original Great Wall also had sections that went through sandy deserts. But here it crafted some local artifacts onto the design of the wall sometimes:
This blending also kind of works for concepts (like “Money”) rather than geographical locations!
Here’s “The Great Wall of Money” by #Imagen to give you some motivation as you look at the value of your stonks and crypto portfolios (cc @wallstreetbets):
Stepping back into the real world, here’s “The Great Wall of London” by #Imagen🇬🇧
Finally, here’s “The Great Wall of Hong Kong” to end this thread. 🧵
#Imagen decided to replace all of the beautiful hiking trails in #HongKong’s country parks with the Great Wall.
The most interesting and viral images you see produced by text-to-image models are not merely the results of the deep learning models themselves, but rather the result of a complex feedback loop between a human neural net🧠 interacting with an artificial neural net🤖.
🧵Thread👇
You can clearly see this, because the prompts for images that end up going viral for one model, clearly don’t “work” for another model.
The best images are chosen from evolutionary selection at the community level, and each image are the result of human/model iterative feedback:
From the #dallemini phenomenon, it’s also clear that the most viral content is not related to particular art styles, or whether the model can produce high quality images (reflected in training data). But rather, whether the model can portray cultural items that people talk about.
I wanted it to come up with some photo-realistic image in the body, using all sorts of tricks, like text conditioning with the words photo, natural, etc., but it was hard.
If I used the prompt "DSLR photo" it simply gave me a photograph of the cat operating a digital camera :)
From Monday, the UK government has said people who have graduated, in the last 5 years, from one of the eligible universities listed on its website, will be able to apply for the UK's "high potential individual" visa.