Because we have been pornifying asian women on the internet for decades. Does that really beg the question posed in the title?

Wrong question. The right question would be:

Why is AI as used in Lensa's Magic Avatars App Pornifying Asian Women?

Ask Lensa to remove the "ugly" and similar negative prompts from their avatar generating App, and let's see what comes out.

https://stable-diffusion-art.com/how-to-use-negative-prompts/#Universal_negative_prompt

For reference, check out how that same negative prompt turns a chubby-ish poorly shaved average guy, into a male pornstar, or a valet into a rich daddy's boy.

If I had to guess, they probably did a shit job labeling training data or used pre labeled images, now where in the world could they have found huge amounts of pictures of women on the internet with the specific label of “Asian”?

Almost like, most of what determines the quality of the output is not “prompt engineering” but actually the back end work of labeling the training data properly, and you’re not actually saving much labor over more traditional methods, just making the labor more anonymous, easier to hide, and thus easier to exploit and devalue.

Almost like this shit is a massive farce just like the “meta verse” and crypto that will fail to be market viable and waist a shit ton of money that could have been spent on actually useful things.

Because the Internet is for porn. Always has been, always will be.

Scroll through the trained models on civit.ai and you'll quickly get a feeling of the dystopian level of "prettifying" everything in the AI-generation world.

I also once searched for "brown" just to see if any models were trained to create non-white-skinned people, and got shocked when the result was filled with models trained on Millie Bobby Brown from Stranger Things. I don't even want to know what those models are used for.

Because white dudes fetishizing asian women wrote the llms and pointed at the training data

Because simps.

Saved you a click.

Are the images above supposed to depict “porn”? I’ve never seen porn like that.

Stable Diffusion is little more than content laundering. It cannot create anything more than what you put in.

I'm not exposed to a huge amount of media coming out of Asia, outside of a handful of Korean shows that Netflix has picked up and anime. But like, if anime is any indicator, I'm not really surprised that the training data for Asian women is leaning more toward overt sexualization. Even setting aside the whole misogynistic 'fan service' thing, I don't feel like I see as much representation of women who defy traditional gender roles as the last twenty or so years of Western media.

It certainly could be that anime is actually a huge outlier here, but if the training data is primarily from the English speaking web, it might be overrepresented anyway. But like, when it comes to weird AI image behaviors, it pays to think about the probable training data.

Like, stable diffusion seems to do a better job of rendering jewelry if you tell it to surround it with berries. Given the output, this seems to be due to Christmas themed jewelry ads. They also tend to add a lot of bokeh for the same reason.

Looking at some of the replied that tried to dismiss the issue and the general lack of concern from moderators against aggressive replies from AI apologists (in this thread but also other AI related threads) are disheartening.

Does AI not generally pornify women and girls independent of ethnicity?

Garbage in, garbage out 🤷

CC BY-NC-SA 4.0

Because it's trained on the internet, and we all know what that's for.

https://www.youtube.com/watch?v=LTJvdGcb7Fs

If we're talking open source models, it's because a lot of the people fine-tuning them are Asian, and have that bias.

While i agree there is a big issue with the bad biased and sexist training data this entire article is about the lensa app which uses (i assume) the default stable diffusion model laion-5b.

Intentional creating sexualized pictures is banned in their guidelines. And yet no one thought of creating a good negative prompt that negates any kind of nudity or eroticism? It still doesn't properly fix the training data but at least people aren't unwillingly presented porn of their own images.

Also everyone can create a dataset and build a stable diffusion model, so why is lensa relying on the default model which is more like a quick and dirty tech demo. They had all the tools to do this right but decided to not even uses the easy lazy ones.

Because people are telling it to, I’d wager