Incompatibility with torchao >= 0.17.0 due to hardcoded legacy import paths in torchao_quantizer.py

### Describe the bug

In src/diffusers/quantizers/torchao/torchao_quantizer.py (lines 99-102), the imports inside _update_torch_safe_globals() are hardcoded to legacy torchao paths: Pythonfrom torchao.dtypes import NF4Tensor
from torchao.dtypes.uintx.uintx_layout import UintxAQTTensorImpl, UintxTensor
Starting from torchao >= 0.17.0 (and 0.18.0), these modules were refactored/relocated:UintxTensor / UintxAQTTensorImpl moved to torchao.prototype.dtypesNF4Tensor moved to torchao.quantizationImporting Diffusers with torchao >= 0.17.0 installed leads to ModuleNotFoundError / ImportError.

### Reproduction

Proposed Fix
Wrap the imports in try-except fallback blocks inside _update_torch_safe_globals():
Python
safe_globals = []

> # 1. NF4Tensor fallback
>
>
> try:
> from torchao.dtypes import NF4Tensor
> safe_globals.append(NF4Tensor)
> except ImportError:
> try:
> from torchao.quantization import NF4Tensor
> safe_globals.append(NF4Tensor)
> except ImportError:
> pass

> # 2. UintxTensor fallback
>
>
> try:
> from torchao.dtypes.uintx.uintx_layout import UintxAQTTensorImpl, UintxTensor
> safe_globals.extend([UintxTensor, UintxAQTTensorImpl])
> except ImportError:
> try:
> from torchao.prototype.dtypes import UintxAQTTensorImpl, UintxTensor
> safe_globals.extend([UintxTensor, UintxAQTTensorImpl])
> except ImportError:
> pass

> if safe_globals:
> torch.serialization.add_safe_globals(safe_globals=safe_globals)

### Logs

```shell

```

### System Info

py 3.13 win11

### Who can help?

_No response_

Start in src/diffusers/quantizers/torchao/torchao_quantizer.py, focusing on _update_torch_safe_globals() and its imports. Reproduce with torchao 0.17.0 or newer, then verify that the legacy and relocated paths are handled without import errors and that available tensor classes are registered as safe globals.

Written by the indexing model from the issue text.