jinx/ComfyUI
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Reshape the empty latent image to the right amount of channels if needed.

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comfyanonymous
2024-06-08 02:16:55 -04:00
parent 56333d4850
commit 6cd8ffc465
5 changed files with 17 additions and 5 deletions
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10
comfy/utils.py
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@@ -249,11 +249,11 @@ def unet_to_diffusers(unet_config):
return diffusers_unet_map
def repeat_to_batch_size(tensor, batch_size):
if tensor.shape[0] > batch_size:
return tensor[:batch_size]
elif tensor.shape[0] < batch_size:
return tensor.repeat([math.ceil(batch_size / tensor.shape[0])] + [1] * (len(tensor.shape) - 1))[:batch_size]
def repeat_to_batch_size(tensor, batch_size, dim=0):
if tensor.shape[dim] > batch_size:
return tensor.narrow(dim, 0, batch_size)
elif tensor.shape[dim] < batch_size:
return tensor.repeat(dim * [1] + [math.ceil(batch_size / tensor.shape[dim])] + [1] * (len(tensor.shape) - 1 - dim)).narrow(dim, 0, batch_size)
return tensor
def resize_to_batch_size(tensor, batch_size):