This uses the <a target="_blank" rel="ugc" href="https://github.com/clovaai/stargan-v2#animal-faces-hq-dataset-afhq">Animal Faces-HQ v2 dataset by Clova AI Research.</a>Might be neat for a training base, or in a merge. I have another one which includes FFHQ 512x512. It seems to do these same animals better, but also do faces similar to stylegan/thispersondoesnotexist.Only the unet was trained. There are two versions; one that uses <a target="_blank" rel="ugc" href="https://github.com/kohya-ss/sd-scripts/pull/889">Debias Estimation Loss</a>, and another which doesn't.This could likely look much better if I did more epoch than one epoch, or fiddled with the training settings. I may come back to this an run a few more epochs since it only took ~1.5 hours to train.<pre><code>@inproceedings{choi2020starganv2,
 title={StarGAN v2: Diverse Image Synthesis for Multiple Domains},
 author={Yunjey Choi and Youngjung Uh and Jaejun Yoo and Jung-Woo Ha},
 booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
 year={2020}
}</code></pre>

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