From Machine Learning @ Berkeley Blog
In recent months there has been a bit of an explosion in the AI generated art scene.
Ever since OpenAI released the weights and code for their CLIP model, various hackers, artists, researchers, and deep learning enthusiasts have figured out how to utilize CLIP as a an effective “natural language steering wheel” for various generative models, allowing artists to create all sorts of interesting visual art merely by inputting some text – a caption, a poem, a lyric, a word – to one of these models.
[The linked story provides about 3 dozen stunning examples of inputs and generated images as well as an extensive links to resources, preprints, and journal articles.--martyb]
(Score: 2) by dast on Monday July 05 2021, @06:27PM (1 child)
This stuff is really fun to use and can give you some amazing output. Also, it's free to use for anyone with a Google account. Fire up a Colab notebook, put in your parameters, and give it a run.
Here's a good one. It's in Spanish, but it's pretty easy to figure out.
https://colab.research.google.com/drive/1go6YwMFe5MX6XM9tv-cnQiSTU50N9EeT?usp=sharing#scrollTo=ZdlpRFL8UAlW [google.com]
(Score: 0) by Anonymous Coward on Monday July 05 2021, @09:58PM
Here's the CLIP-GLaSS model:
https://colab.research.google.com/drive/1fWka_U56NhCegbbrQPt4PWpHPtNRdU49?usp=sharing#scrollTo=zvZFRZtcv8Mp [google.com]