lol

λ=749nm. Hardly anyone would notice it.

Are you inpainting the eyes at all? Eyes often get screwed up due to autoencoder artifacts. Some models that use a custom autoencoder like AnythingV3,4,5,etc. don’t have this problem, probably because their training data contained lots of images of people with large eyes. You could try training a custom autoencoder, or use a model with one.

Or just inpaint the eyes, and make sure that the inpaint area is set to “only masked”.

It wasn’t a warning, it was a vision. Look up who the Huxley family really are.

hi fwend <3

i will post what i can. but mine will mostly be SFW hehe

heehee 99.1

lolis filter moralfags out

maybe the “pantyhose” keyword is too correlated with pictures of mature ladies, so thats why it happened. thats all im gonna discuss this though.

they have big squishy bums i think

Even if they do that, it will be futile. Here is an explanation of why.

So far new reddit seems easier to scrape than I initially thought c:

Yeah :c

A good reminder for me to reverse-engineer new reddit’s backend once this happens.

Post-scarcity relies on complex global supply chains involving many different countries, and anything with that much complexity has inherent vulnerabilities. This is what lead to the bronze age collapse thousands of years ago. How would you make your system resilient against collapse?

Pretty! Try adding (death metal album cover:1.2) to your prompt. You may or may not like the results c:

I use stable diffusion with various different models, but mostly AnythingV3

they so squishy!

Thankie! heehee

Im sorry, ill go now :c

yes

Its a mystery nobody has solved yet c:

Though it is known that one of their natural habitats is also Cunny Valley