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    Animal Faces-HQ v2 (AFHQ) - Debias Estimation Loss Comparison Test - Without
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    This uses the Animal Faces-HQ v2 dataset by Clova AI Research.

    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 Debias Estimation Loss, 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.

    @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}
    }

    Description

    Checkpoint
    SD 1.5

    Details

    Downloads
    38
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    4/24/2025
    Updated
    4/24/2025
    Deleted
    4/24/2025
    Trigger Words:
    a photo of a dog
    a photo of a cat
    a photo of a wild animal

    Files

    animalFacesHQV2AFHQ_without.safetensors

    Mirrors