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synced 2026-01-27 13:54:44 +08:00
Fix case of rows 0
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@ -3186,7 +3186,6 @@ class LoadImagesFromFolderKJ:
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stat = ImageStat.Stat(edges)
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median = tuple(map(int, stat.median))
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return median
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class ImageGridtoBatch:
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@classmethod
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@ -3197,37 +3196,38 @@ class ImageGridtoBatch:
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"rows": ("INT", {"default": 0, "min": 1, "max": 8, "tooltip": "The number of rows in the grid. Set to 0 for automatic calculation."}),
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}
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}
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RETURN_TYPES = ("IMAGE",)
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FUNCTION = "decompose"
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CATEGORY = "KJNodes/image"
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DESCRIPTION = "Converts a grid of images to a batch of images."
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def decompose(self, image, columns, rows):
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B, H, W, C = image.shape
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print("input size: ", image.shape)
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# Calculate cell width, rounding down
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cell_width = W // columns
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if rows == 0:
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# If rows is 0, calculate number of full rows
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cell_height = H // columns
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rows = H // cell_height
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else:
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# If rows is specified, adjust cell_height
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cell_height = H // rows
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# Crop the image to fit full cells
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image = image[:, :rows*cell_height, :columns*cell_width, :]
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# Reshape and permute the image to get the grid
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image = image.view(B, rows, cell_height, columns, cell_width, C)
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image = image.permute(0, 1, 3, 2, 4, 5).contiguous()
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image = image.view(B, rows * columns, cell_height, cell_width, C)
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# Reshape to the final batch tensor
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img_tensor = image.view(-1, cell_height, cell_width, C)
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return (img_tensor,)
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class SaveImageKJ:
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