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PyTorch Implementation of AnimeGANv2

Updates

Weight Conversion from the Original Repo (Requires TensorFlow 1.x)

git clone https://github.com/TachibanaYoshino/AnimeGANv2
python convert_weights.py

Inference

python test.py --input_dir [image_folder_path] --device [cpu/cuda]

Results from converted [Paprika] style model

(input image, original tensorflow result, pytorch result from left to right)

     

Note: Training code not included / Tested on RTX3090 + PyTorch1.7.1 / Results from converted weights slightly different due to the bilinear upsample issue

Additional Models

Webtoon Face [ckpt]

samples

Trained on 256x256 face images. Distilled from webtoon face model with L2 + VGG + GAN Loss and CelebA-HQ images. See test_faces.ipynb for details.

 

Face Portrait v1 [ckpt]

samples

Trained on 512x512 face images.

Colab

samples

📺

sample

Face Portrait v2 [ckpt]

samples

Trained on 512x512 face images. Compared to v1, 🔻beautify 🔺robustness

Colab

face_portrait_v2_0

face_portrait_v2_1

🦑 🎮 🔥

face_portrait_v2_squid_game

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PyTorch implementation of AnimeGANv2

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  • Python 1.4%