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Make pad_to_patch_size function work on multi dim.

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comfyanonymous 2024-12-13 07:21:52 -05:00
parent 59d58b1158
commit 4e14032c02
1 changed files with 6 additions and 3 deletions
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9
comfy/ldm/common_dit.py
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@ -4,9 +4,12 @@ import comfy.ops
def pad_to_patch_size(img, patch_size=(2, 2), padding_mode="circular"):
if padding_mode == "circular" and (torch.jit.is_tracing() or torch.jit.is_scripting()):
padding_mode = "reflect"
pad_h = (patch_size[0] - img.shape[-2] % patch_size[0]) % patch_size[0]
pad_w = (patch_size[1] - img.shape[-1] % patch_size[1]) % patch_size[1]
return torch.nn.functional.pad(img, (0, pad_w, 0, pad_h), mode=padding_mode)
pad = ()
for i in range(img.ndim - 2):
pad = (0, (patch_size[i] - img.shape[i + 2] % patch_size[i]) % patch_size[i]) + pad
return torch.nn.functional.pad(img, pad, mode=padding_mode)
try:
rms_norm_torch = torch.nn.functional.rms_norm