hent-AI VS DALLE2-pytorch

This existed years ago; https://github.com/natethegreate/hent-AI

1. DeepCreamPy draws over hentai sensor bars if you direct it where the bar is: https://github.com/gguilt/DeepCreamPy

2. hentAI automates the process: https://github.com/natethegreate/hent-AI

3. [NSFW] Should look at this person on Twitter: https://twitter.com/nate_of_hent_ai

4. [NSFW] PornHub released vintage porn videos upscaled to 4k with AI a while back. The called it the "Remastured Project": https://www.pornhub.com/art/remastured

5. [NSFW] This project shows the limit of AI-wthout-big-tech-or-corporate-support projects. This project creates female genitalia that don't exist in the real world. Project is "This Vagina Does Not Exist": https://thisvaginadoesnotexist.com/about.html

Allo w me to introduce: hent.ai

Yes, if you're talking about anime pictures. There is DeepCreamPy. The original repo has been deleted from Github, but there's information on how to find it in this thread. There's also hent-AI which includes a more experimental method.

Nah, that award goes to this project (Hent-AI)- https://github.com/natethegreate/hent-AI

If I recall correctly, hentAI is the spiritual successor to DeepCreamPy

use https://github.com/natethegreate/hent-AI to automatically detect censored parts

I was showing people Dalle2 last year and telling them how much of an impact an open source solution was going to have on, well, everything to do with art and design. (At the time Stable Diffusion had not released, not even the leak, and all hopes was on https://github.com/lucidrains/DALLE2-pytorch)

Stable diffusion is the model, MJ will use a variant and DALL-E is the old version (we have our own implementation from our distinguished fellow Lucidrains here: https://github.com/lucidrains/DALLE2-pytorch)

Sadly I don't think so. From what I understand the architecture is fixed to 1024x1024 pictures.

The code is open source, the model is not I believe. https://github.com/lucidrains/DALLE2-pytorch

Phil Wang has been fairly prolific at creating open source implementations of these text to image models. For example, here is the dalle-2 repo https://github.com/lucidrains/DALLE2-pytorch

There's already an open-source implementation of DALL-E 2 (https://github.com/lucidrains/DALLE2-pytorch) and a pretrained model for it should be released within this year.

Also true for Google's Imagen, which should be even better than DALLE-2 (and faster) https://github.com/lucidrains/imagen-pytorch.

This is possible because the original research papers behind both DALLE-2 and Imagen were publicly released.

The paper describing the model is public and has been implemented here, but that's not the hard part. The model likely requires months of compute and dozens of gigabytes of VRAM to train and run, likely costing several hundred thousand dollars.