spingbing-ArtBreeder

I have already played with ArtBreeder, but I’ve never used ProsePainter. This image took about 30 minutes to make. I had a lot of fun using different inputs in different areas, and am very pleased with the resulting image. It is funny how my taste does not vary at all across platforms.

I used input such as “poland tulip field”, “water flowing stream in forest flowers”, “messy bedroom in sunny afternoon”, and “koreatown on a nice afternoon”. I tried not to use proper grammar and tried to make it as specific as possible as to most accurately capture the desired vibe.

 

spingbing-Pix2Pix

Since I have already played with the edges2cats software, I decided to play around with myHeritage instead.

This first video is of my grandfather who just passed away last week. I thought of using him because I was maybe considering sending it to my parents; however, even though the intentions of this software are good, it can also be seen as creepy and lacking awareness, which is something that needs to be overcome with this type of technology as a whole.

I am including this second video of my still living grandma because it shows how the technology is not yet perfect(even though we cannot expect it to be perfect when the only data it has is from a flat picture and not a 360 view). Her face is warped slightly.

spingbing-TextSynthesis

1. InferKit

My input is bolded:

“I’m waiting for my roommate to finish his orchestra practice.

My roommate is a very talented boy and a very good singer, and he sings all the time!
Here he is practicing.
He’s only about 5 feet tall, so he looks a little pathetic up there… but he’s a great singer!
He plays the cello very well. He is the first chair.
Does that mean that I should give him two – thirds of the pizza from my first bowl, instead of just a quarter?
I know that it’s a very simple question, but he always asks it every time he comes over.”
This is so funny because it is mean. It is intriguing that it can simulate personality and sass. I enjoy this.

2. Narrative Device:

This was very funny to me. I wanted a prediction of my spring break and I got a Wattpad fan fiction. I also understand that “Jean Cho” means nothing to the machine but I wanted it to be personalized.

duq-TextSynthesis

I went to a coffee shop downtown the other day and was in a corner by myself.

After reading a few pages of a book I noticed a boy come in alone and sit down in a chair at the table next to me.

He opened a pad of paper and started writing.

Every so often he glanced over his shoulder to make sure nobody was coming.

He was in deep thought.

Then he put his pen down and a moment later got up and left.

A short time later a woman entered the coffee shop alone.

She sat down at a table across from me.

She put her coat down on a nearby chair and leaned back in the chair.

I thought, “Aw, that’s nice,” and continued reading my book.

When it seemed like she’d waited a long time for her drink she left the shop again and started walking down the street.

I thought, “Hmm … interesting.”

Then a man sat down at my table and started reading.

After a few minutes of quiet conversation I thought, “That is a lot of coffee.”

He leaned back in the chair and closed his eyes.

I thought, “He’s napping,

 

 

A Duck

Wall to wall carpeting

The duckling was sitting on the roof of the duck house, watching the birds fly by. As the sun started to set, the ducklings could see the carpet in the distance, stretching all the way to the horizon. They knew that they would have to find a way to get over the wall to get to the carpet, and they were excited to do so.

 

I find it interesting how these two different tools approach the same idea differently. One just asks for themes while the other asks for the start of a story. I wonder if both algorithms use the given information in the same way.

Dr. Mario-WQGAN+CLIP

It was very confusing at first as the link on the website gave a different version to the one in the video tutorial, and the one on the website didn’t work. Once I got it working though it was pretty interesting, very similar to the app WOMBO Dream. It was a little slow but the outcomes were pretty interesting.

The prompt is “Magic Tower”

Dr. Mario – TextSynthesis

“We’re trying to get all the central parties to agree on the relative rankings, then the ratings will be assessed by the independent people,” Botolo said, referring to an expert commission.

Botolo said at least three other contenders will also vie for the top job.
Ethiopia has won global praise for its democratic credentials in recent years, but the ruling coalition has faced mounting dissent in the countryside, as many young people complain of political and economic marginalization.
Prime Minister Hailemariam Desalegn has been in power since 2012, but appears to be close to resignation after the Tigrayan People’s Liberation Front (TPLF) party, his longtime ally, split over the summer.
TPLF is the largest of the coalition parties. Hailemariam resigned in February citing what he called threats to his life and a struggle to keep the ruling coalition united.
– Growing ethnic violence –
The mass protests that initially erupted over land rights and politics are now focused on wider grievances.
Ethiopia has nearly 100 ethnic groups, and recent ethnic violence in
various parts of
– this was from InferKit
That was kinda scuffed, “-Growing ethnic violence-“. I was expecting something much more light hearted.
Big Chungus was a huge, green, sausage-like creature that lived in the swamp. He loved to suck the toes of small animals, and he would often kidnap them and bring them back to his house to eat.
– this was from Narrative Device
Now this is what I was expecting! If you couldn’t guess my themes were Big Chungus and sucking toes, I think the tool did a wonderful job