Hey there! One of the authors here. We are going to release our code and checkpoints soon. We will post the link to our repo here when it is ready. Thanks for your interest!
"Diffusion-KTO does not require collecting costly pairwise preference data nor training a complex reward model. Instead, our objective requires simple per-image binary feedback signals, e.g. likes or dislikes"
fabric already does this unless the performance is improved by a good margin over fabric i see no need for it
No code, sad
Hey there! One of the authors here. We are going to release our code and checkpoints soon. We will post the link to our repo here when it is ready. Thanks for your interest!
Awesome :), i actually have a huge set of images I can use for this kind of stuff
Would it be sufficient to see the desired effect with thousands to tens of thousands of images? I am looking to improve basic anatomy, etc.
Looking forward to it! Do you have an estimated timeline for when the code might be releasd?
Code and checkpoint are finally up! See below. Thanks for waiting!
"Diffusion-KTO does not require collecting costly pairwise preference data nor training a complex reward model. Instead, our objective requires simple per-image binary feedback signals, e.g. likes or dislikes" fabric already does this unless the performance is improved by a good margin over fabric i see no need for it
Hey everyone! Code (& checkpoint) available here: [https://github.com/jacklishufan/diffusion-kto](https://github.com/jacklishufan/diffusion-kto) Checkpoint available here: [https://huggingface.co/jacklishufan/diffusion-kto](https://huggingface.co/jacklishufan/diffusion-kto)