Fix potential tensor device issue with ImageCompositeMasked.
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@ -6,6 +6,7 @@ import comfy.utils
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from nodes import MAX_RESOLUTION
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def composite(destination, source, x, y, mask = None, multiplier = 8, resize_source = False):
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source = source.to(destination.device)
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if resize_source:
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source = torch.nn.functional.interpolate(source, size=(destination.shape[2], destination.shape[3]), mode="bilinear")
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@ -20,7 +21,7 @@ def composite(destination, source, x, y, mask = None, multiplier = 8, resize_sou
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if mask is None:
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mask = torch.ones_like(source)
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else:
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mask = mask.clone()
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mask = mask.to(destination.device, copy=True)
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mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(source.shape[2], source.shape[3]), mode="bilinear")
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mask = comfy.utils.repeat_to_batch_size(mask, source.shape[0])
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