runtime error

Exit code: 1. Reason: l/lib/python3.10/site-packages/diffusers/utils/import_utils.py", line 1012, in _get_module raise RuntimeError( RuntimeError: Failed to import diffusers.pipelines.controlnet.pipeline_controlnet_img2img because of the following error (look up to see its traceback): Failed to import diffusers.models.autoencoders.autoencoder_kl because of the following error (look up to see its traceback): infer_schema(func): Parameter q has unsupported type torch.Tensor. The valid types are: dict_keys([<class 'torch.Tensor'>, typing.Optional[torch.Tensor], typing.Sequence[torch.Tensor], typing.List[torch.Tensor], typing.Sequence[typing.Optional[torch.Tensor]], typing.List[typing.Optional[torch.Tensor]], <class 'int'>, typing.Optional[int], typing.Sequence[int], typing.List[int], typing.Optional[typing.Sequence[int]], typing.Optional[typing.List[int]], <class 'float'>, typing.Optional[float], typing.Sequence[float], typing.List[float], typing.Optional[typing.Sequence[float]], typing.Optional[typing.List[float]], <class 'bool'>, typing.Optional[bool], typing.Sequence[bool], typing.List[bool], typing.Optional[typing.Sequence[bool]], typing.Optional[typing.List[bool]], <class 'str'>, typing.Optional[str], typing.Union[int, float, bool], typing.Union[int, float, bool, NoneType], typing.Sequence[typing.Union[int, float, bool]], typing.List[typing.Union[int, float, bool]], <class 'torch.dtype'>, typing.Optional[torch.dtype], <class 'spaces.zero.torch.patching._DeviceStringOnly'>, typing.Optional[spaces.zero.torch.patching._DeviceStringOnly]]). Got func with signature (q: 'torch.Tensor', k: 'torch.Tensor', v: 'torch.Tensor', softmax_scale: 'float | None' = None, causal: 'bool' = False, qv: 'torch.Tensor | None' = None, q_descale: 'torch.Tensor | None' = None, k_descale: 'torch.Tensor | None' = None, v_descale: 'torch.Tensor | None' = None, attention_chunk: 'int' = 0, softcap: 'float' = 0.0, num_splits: 'int' = 1, pack_gqa: 'bool | None' = None, deterministic: 'bool' = False, sm_margin: 'int' = 0) -> 'tuple[torch.Tensor, torch.Tensor]')

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