Merge branch 'AUTOMATIC1111:master' into master
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@ -36,8 +36,11 @@ th = TorchHijackForUnet()
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# Below are monkey patches to enable upcasting a float16 UNet for float32 sampling
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def apply_model(orig_func, self, x_noisy, t, cond, **kwargs):
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for y in cond.keys():
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cond[y] = [x.to(devices.dtype_unet) if isinstance(x, torch.Tensor) else x for x in cond[y]]
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if isinstance(cond, dict):
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for y in cond.keys():
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cond[y] = [x.to(devices.dtype_unet) if isinstance(x, torch.Tensor) else x for x in cond[y]]
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with devices.autocast():
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return orig_func(self, x_noisy.to(devices.dtype_unet), t.to(devices.dtype_unet), cond, **kwargs).float()
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