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app.py
CHANGED
@@ -180,14 +180,7 @@ def infer_params(state_dict: dict[str, torch.Tensor]) -> tuple[int, int, int, in
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return in_nc, out_nc, nf, nb, scale # 3, 3, 64, 23, 4
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# https://github.com/philz1337x/clarity-upscaler/blob/e0cd797198d1e0e745400c04d8d1b98ae508c73b/modules/images.py#L64
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tiles: Tiles
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tile_w: int
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tile_h: int
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image_w: int
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image_h: int
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overlap: int
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# adapted from https://github.com/philz1337x/clarity-upscaler/blob/e0cd797198d1e0e745400c04d8d1b98ae508c73b/modules/images.py#L67
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def split_grid(image: Image.Image, tile_w: int = 512, tile_h: int = 512, overlap: int = 64) -> Grid:
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return in_nc, out_nc, nf, nb, scale # 3, 3, 64, 23, 4
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# https://github.com/philz1337x/clarity-upscaler/blob/e0cd797198d1e0e745400c04d8d1b98ae508c73b/modules/images.py#L64
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Grid = namedtuple("Grid", ["tiles", "tile_w", "tile_h", "image_w", "image_h", "overlap"])
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# adapted from https://github.com/philz1337x/clarity-upscaler/blob/e0cd797198d1e0e745400c04d8d1b98ae508c73b/modules/images.py#L67
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def split_grid(image: Image.Image, tile_w: int = 512, tile_h: int = 512, overlap: int = 64) -> Grid:
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