hent-AI VS latent-diffusion

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

Stable Diffusion XL (SDXL) is the latest text-to-image generation model developed by Stability AI, based on the latent diffusion techniques. SDXL has the potential to create highly realistic images for media, entertainment, education, and industry domains, opening new ways in practical uses of AI imagery.

Here's a link to the early latent-diffusion git, that might be able to create a blank model (I haven't tested it): https://github.com/CompVis/latent-diffusion

Latent diffusion could work for you: https://github.com/CompVis/latent-diffusion (https://arxiv.org/abs/2112.10752)

There are a lot but the one implemented as LDSR in most stable guis is this one. https://github.com/CompVis/latent-diffusion

CompVis/latent-diffusion: High-Resolution Image Synthesis with Latent Diffusion Models (github.com)

The "retrieval based model" refers to https://github.com/CompVis/latent-diffusion#retrieval-augmen..., which uses ScaNN to train a knn embedding searcher.

Stability is basically https://github.com/CompVis/latent-diffusion + training data.

Found relevant code at https://github.com/CompVis/latent-diffusion + all code implementations here

DDIM and PLMS were the original samplers. They were part of Latent Diffusion's repository. They stand for the papers that introduced them, Denoising Diffusion Implicit Models and Pseudo Numerical Methods for Diffusion Models on Manifolds.

yes, https://github.com/CompVis/latent-diffusion