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ac7725163d
added SAEHD model ( High Definition Styled AutoEncoder ) This is a new heavyweight model for high-end cards to achieve maximum possible deepfake quality in 2020. Differences from SAE: + new encoder produces more stable face and less scale jitter before: https://i.imgur.com/4jUcol8.gifv after: https://i.imgur.com/lyiax49.gifv - scale of the face is less changed within frame size + new decoder produces subpixel clear result + pixel loss and dssim loss are merged together to achieve both training speed and pixel trueness + by default networks will be initialized with CA weights, but only after first successful iteration therefore you can test network size and batch size before weights initialization process + new neural network optimizer consumes less VRAM than before + added option <Enable 'true face' training> The result face will be more like src and will get extra sharpness. example: https://i.imgur.com/ME3A7dI.gifv Enable it for last 15-30k iterations before conversion. + encoder and decoder dims are merged to one parameter encoder/decoder dims + added mid-full face, which covers 30% more area than half face. |
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| .. | ||
| Model_AVATAR | ||
| Model_DEV_FANSEG | ||
| Model_DEV_FUNIT | ||
| Model_DEV_POSEEST | ||
| Model_DF | ||
| Model_H64 | ||
| Model_H128 | ||
| Model_LIAEF128 | ||
| Model_SAE | ||
| Model_SAEHD | ||
| __init__.py | ||
| archived_models.zip | ||
| ModelBase.py | ||