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Fix potential tensor device issue with ImageCompositeMasked.

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comfyanonymous 2023-12-21 02:35:01 -05:00
parent a1e1c69f7d
commit 6781b181ef
1 changed files with 2 additions and 1 deletions
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3
comfy_extras/nodes_mask.py
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@ -6,6 +6,7 @@ import comfy.utils
from nodes import MAX_RESOLUTION from nodes import MAX_RESOLUTION
def composite(destination, source, x, y, mask = None, multiplier = 8, resize_source = False): def composite(destination, source, x, y, mask = None, multiplier = 8, resize_source = False):
source = source.to(destination.device)
if resize_source: if resize_source:
source = torch.nn.functional.interpolate(source, size=(destination.shape[2], destination.shape[3]), mode="bilinear") source = torch.nn.functional.interpolate(source, size=(destination.shape[2], destination.shape[3]), mode="bilinear")
@ -20,7 +21,7 @@ def composite(destination, source, x, y, mask = None, multiplier = 8, resize_sou
if mask is None: if mask is None:
mask = torch.ones_like(source) mask = torch.ones_like(source)
else: else:
mask = mask.clone() mask = mask.to(destination.device, copy=True)
mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(source.shape[2], source.shape[3]), mode="bilinear") mask = torch.nn.functional.interpolate(mask.reshape((-1, 1, mask.shape[-2], mask.shape[-1])), size=(source.shape[2], source.shape[3]), mode="bilinear")
mask = comfy.utils.repeat_to_batch_size(mask, source.shape[0]) mask = comfy.utils.repeat_to_batch_size(mask, source.shape[0])