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Merge branch 'AUTOMATIC1111:master' into master

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Ivan 2023-01-25 22:34:19 +05:00 committed by GitHub
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1 changed files with 5 additions and 2 deletions
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modules/sd_hijack_unet.py
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@ -36,8 +36,11 @@ th = TorchHijackForUnet()
# Below are monkey patches to enable upcasting a float16 UNet for float32 sampling # Below are monkey patches to enable upcasting a float16 UNet for float32 sampling
def apply_model(orig_func, self, x_noisy, t, cond, **kwargs): def apply_model(orig_func, self, x_noisy, t, cond, **kwargs):
for y in cond.keys():
cond[y] = [x.to(devices.dtype_unet) if isinstance(x, torch.Tensor) else x for x in cond[y]] if isinstance(cond, dict):
for y in cond.keys():
cond[y] = [x.to(devices.dtype_unet) if isinstance(x, torch.Tensor) else x for x in cond[y]]
with devices.autocast(): with devices.autocast():
return orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs).float() return orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs).float()