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download DAT models from huggingface
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the LFS from GitHub "is over its data quota"
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w-e-w committed Jul 31, 2024
1 parent 2b2302b commit 2f74cd6
Showing 1 changed file with 7 additions and 3 deletions.
10 changes: 7 additions & 3 deletions modules/dat_model.py
Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,7 @@ def load_model(self, path):
scaler.local_data_path = modelloader.load_file_from_url(
scaler.data_path,
model_dir=self.model_download_path,
hash_prefix=scaler.sha256,
)
if not os.path.exists(scaler.local_data_path):
raise FileNotFoundError(f"DAT data missing: {scaler.local_data_path}")
Expand All @@ -60,20 +61,23 @@ def get_dat_models(scaler):
return [
UpscalerData(
name="DAT x2",
path="https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x2.pth",
path="https://huggingface.co/w-e-w/DAT/resolve/main/experiments/pretrained_models/DAT/DAT_x2.pth",
scale=2,
upscaler=scaler,
sha256='7760aa96e4ee77e29d4f89c3a4486200042e019461fdb8aa286f49aa00b89b51',
),
UpscalerData(
name="DAT x3",
path="https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x3.pth",
path="https://huggingface.co/w-e-w/DAT/resolve/main/experiments/pretrained_models/DAT/DAT_x3.pth",
scale=3,
upscaler=scaler,
sha256='581973e02c06f90d4eb90acf743ec9604f56f3c2c6f9e1e2c2b38ded1f80d197',
),
UpscalerData(
name="DAT x4",
path="https://github.com/n0kovo/dat_upscaler_models/raw/main/DAT/DAT_x4.pth",
path="https://huggingface.co/w-e-w/DAT/resolve/main/experiments/pretrained_models/DAT/DAT_x4.pth",
scale=4,
upscaler=scaler,
sha256='391a6ce69899dff5ea3214557e9d585608254579217169faf3d4c353caff049e',
),
]

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