setfit VS VToonify

It did, sorry for the hasty edits! I removed that part b/c I realized that there isn't a compelling-enough reason for me to believe that text similarity is clearly inappropriate. In fact, you can train the Pr(condition | chat) classifier I suggested above using similarity training! Use SetFit for that. In the end you'll get a classifier and a similarity model.

[3] https://github.com/huggingface/setfit

There's also kinda related approaches like SetFit which calculate embeddings from pretrained transformer models then then fit a classifier on top of the embeddings. I've yet to try it but it supposedly works well with very few labelled examples.

You could have a look at setfit.

Found relevant code at https://github.com/huggingface/setfit + all code implementations here

Efficient Few-Shot Learning Without Prompts https://github.com/huggingface/setfit https://arxiv.org/abs/2209.11055v1

this is a VToonify you can chek this here https://github.com/williamyang1991/VToonify

Here is the software repository

Vtoonify is a machine learning model (GAN) created that unlike stable diffusion always reproduces the same output given the same input. For example my character Midas went in looking like the right, can came out looking like the left.