DALL-E 2 AI sure can be a lot of fun to play with but in this 15 July 2022
11 minute read at the Institute of Electrical and Electronics Engineers (IEEE)
Spectrum Magazine web site, Eliza Strickland talks about the DALL-E 2 AI
research project's shortcomings, failures and what's next.
That explains why I could not get the Style of Reg Mombassa to include Jesus in thongs. I thought text garbling was deliberate.
The image of the astronaut generated is astounding. We don’t know of her, but you feel you could.
Quote:
Originally Posted by gary
DALL-E 2 AI sure can be a lot of fun to play with but in this 15 July 2022
11 minute read at the Institute of Electrical and Electronics Engineers (IEEE)
Spectrum Magazine web site, Eliza Strickland talks about the DALL-E 2 AI
research project's shortcomings, failures and what's next.
As the IEEE article explained, "Users can also help DALL-E 2 generate more diverse results by specifying gender, ethnicity, or geographical location
using prompts such as “a female astronaut” or “a wedding in India.”
With that in mind I attempted this input phrase :-
"A portrait of the most beautiful Chinese Opera singer woman. Makeup, red-lips, costume, award-winning photography, canon 5d sigma 100mm f/1.2, very high detail sharp, photojournalism from The New York Times"
"Portrait of an old Pakistani workman at the Gadani Ship Breaking Yard. Wrinkled face. Grime and dirt on face. Looking sad. Award-winning photography, Canon 5d Sigma 100mm f/1.2, very high detail sharp, photojournalism from The New York Times"
Dall E 2 looks like the best interpretation except in the old BW alien division. Could suit some themes here. Early 20th century astronomers with their canals on Mars and sci fi writers could have used those illustrations .
My free subscription renews soon and it will be interesting to explore some more serious people images.
Thanks Marc. Very interesting. Things are moving quickly in AI generated images.
Copyright is already a mess. People only take action if there is lot of money involved or the copy of the design is blatant copy in the same field.
The problem with AI graphic generation is that it has already taken everybody’s IP to enable the images making. That happens already in social media constantly to generate advertising revenue. All the images and designs for iconic stuff out there.
Perhaps it will end up like a distributed version of radio play and APRA with music . Every copyright owner of an art work will get a tiny cut when an AI generated work is displayed for profit.
Stable Diffusion is a text-to-image model that will empower billions of people to create stunning art within seconds. It is a breakthrough in speed and quality meaning that it can run on consumer GPUs.