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reduce duplication

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pythongosssss
2023-05-03 17:33:19 +01:00
parent 06ad35b493
commit 27df74101e
2 changed files with 11 additions and 9 deletions
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6
comfy/utils.py
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@@ -62,6 +62,12 @@ def common_upscale(samples, width, height, upscale_method, crop):
s = samples
return torch.nn.functional.interpolate(s, size=(height, width), mode=upscale_method)
def get_tiled_scale_steps(width, height, tile_x, tile_y, overlap):
it_1 = -(height // -(tile_y * 2 - overlap)) * -(width // -(tile_x // 2 - overlap))
it_2 = -(height // -(tile_y // 2 - overlap)) * -(width // -(tile_x * 2 - overlap))
it_3 = -(height // -(tile_y - overlap)) * -(width // -(tile_x - overlap))
return it_1 + it_2 + it_3
@torch.inference_mode()
def tiled_scale(samples, function, tile_x=64, tile_y=64, overlap = 8, upscale_amount = 4, out_channels = 3, pbar = None):
output = torch.empty((samples.shape[0], out_channels, round(samples.shape[2] * upscale_amount), round(samples.shape[3] * upscale_amount)), device="cpu")