What A Difference A Year Makes In Visual AI
What A Difference A Year Makes In Visual AI
Hello friend,
How are you? I hope you had a nice summer.
Getting back to business, I bet you also like to spend some time catching up on the latest tech trends.
AI being likely somewhere at the top.
Roughly a year ago I published a story that covers my analysis of various AI image generators that just broke out, tips and predictions.
To create this story I tried some of the image generators and shared the results and my observations.
So how visual AI has changed in just one year?
Let’s take a look at images.
Forest view
If you look at the primary improvements AI image generators have made in the past year, you’ll most likely hit these areas:
Realism: AI-generated images have become more realistic and hard to distinguish from real ones.
Efficient: AI-generating models have become more efficient. Meta even claims their art-generating model is best-in-class.
Quality: The generated image can often achieve high quality. And of course much faster than humans.
Refinement: You’ll also find less visual errors in the current crop of generators compared to last year. See my example below.
Accessibility: These days more people have more access to AI-image generators with a mind boggling offerings with many tools offered for free or with high count of free credits.
At this rate, no wonder Europol predicts that by the year 2026, AI could be responsible for creating up to 90% of all media content.
Incredible!
Tree view
As I was preparing this week for a keynote speech on AI for Nonprofits for an upcoming event down in the Florida Keys, I came across an image I created exactly a year ago on Stable Diffusion.
I was curious to see what will the same exact prompt and tool yield a year later.
First off, to give you some context, I am a long time fan of Flemish painters like Pieter Bruegel.
So, I aimed to generate an image bearing his unique style like this timeless masterpiece:
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