openvino_genai.AutoencoderKL#
- class openvino_genai.AutoencoderKL#
Bases:
pybind11_object
AutoencoderKL class.
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_decoder_path: os.PathLike) -> None
AutoencoderKL class initialized only with decoder model. vae_decoder_path (os.PathLike): VAE decoder directory.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_encoder_path: os.PathLike, vae_decoder_path: os.PathLike) -> None
AutoencoderKL class initialized with both encoder and decoder models. vae_encoder_path (os.PathLike): VAE encoder directory. vae_decoder_path (os.PathLike): VAE decoder directory.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_decoder_path: os.PathLike, device: str, **kwargs) -> None
AutoencoderKL class initialized only with decoder model. vae_decoder_path (os.PathLike): VAE decoder directory. device (str): Device on which inference will be done. kwargs: Device properties.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_encoder_path: os.PathLike, vae_decoder_path: os.PathLike, device: str, **kwargs) -> None
AutoencoderKL class initialized only with both encoder and decoder models. vae_encoder_path (os.PathLike): VAE encoder directory. vae_decoder_path (os.PathLike): VAE decoder directory. device (str): Device on which inference will be done. kwargs: Device properties.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, model: openvino_genai.py_openvino_genai.AutoencoderKL) -> None
- AutoencoderKL model
AutoencoderKL class. model (AutoencoderKL): AutoencoderKL model.
Methods
__delattr__
(name, /)Implement delattr(self, name).
__dir__
()Default dir() implementation.
__eq__
(value, /)Return self==value.
__format__
(format_spec, /)Default object formatter.
__ge__
(value, /)Return self>=value.
__getattribute__
(name, /)Return getattr(self, name).
__gt__
(value, /)Return self>value.
__hash__
()Return hash(self).
__init__
(*args, **kwargs)Overloaded function.
This method is called when a class is subclassed.
__le__
(value, /)Return self<=value.
__lt__
(value, /)Return self<value.
__ne__
(value, /)Return self!=value.
__new__
(**kwargs)Helper for pickle.
__reduce_ex__
(protocol, /)Helper for pickle.
__repr__
()Return repr(self).
__setattr__
(name, value, /)Implement setattr(self, name, value).
Size of object in memory, in bytes.
__str__
()Return str(self).
Abstract classes can override this to customize issubclass().
compile
(self, device, **kwargs)device on which inference will be done
decode
(self, latent)encode
(self, image)get_config
(self)get_vae_scale_factor
(self)reshape
(self, batch_size, height, width)- class Config#
Bases:
pybind11_object
This class is used for storing AutoencoderKL config.
- __class__#
alias of
pybind11_type
- __delattr__(name, /)#
Implement delattr(self, name).
- __dir__()#
Default dir() implementation.
- __eq__(value, /)#
Return self==value.
- __format__(format_spec, /)#
Default object formatter.
- __ge__(value, /)#
Return self>=value.
- __getattribute__(name, /)#
Return getattr(self, name).
- __gt__(value, /)#
Return self>value.
- __hash__()#
Return hash(self).
- __init__(self: openvino_genai.py_openvino_genai.AutoencoderKL.Config, config_path: os.PathLike) None #
- __init_subclass__()#
This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
- __le__(value, /)#
Return self<=value.
- __lt__(value, /)#
Return self<value.
- __ne__(value, /)#
Return self!=value.
- __new__(**kwargs)#
- __reduce__()#
Helper for pickle.
- __reduce_ex__(protocol, /)#
Helper for pickle.
- __repr__()#
Return repr(self).
- __setattr__(name, value, /)#
Implement setattr(self, name, value).
- __sizeof__()#
Size of object in memory, in bytes.
- __str__()#
Return str(self).
- __subclasshook__()#
Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).
- property block_out_channels#
- property in_channels#
- property latent_channels#
- property out_channels#
- property scaling_factor#
- __class__#
alias of
pybind11_type
- __delattr__(name, /)#
Implement delattr(self, name).
- __dir__()#
Default dir() implementation.
- __eq__(value, /)#
Return self==value.
- __format__(format_spec, /)#
Default object formatter.
- __ge__(value, /)#
Return self>=value.
- __getattribute__(name, /)#
Return getattr(self, name).
- __gt__(value, /)#
Return self>value.
- __hash__()#
Return hash(self).
- __init__(*args, **kwargs)#
Overloaded function.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_decoder_path: os.PathLike) -> None
AutoencoderKL class initialized only with decoder model. vae_decoder_path (os.PathLike): VAE decoder directory.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_encoder_path: os.PathLike, vae_decoder_path: os.PathLike) -> None
AutoencoderKL class initialized with both encoder and decoder models. vae_encoder_path (os.PathLike): VAE encoder directory. vae_decoder_path (os.PathLike): VAE decoder directory.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_decoder_path: os.PathLike, device: str, **kwargs) -> None
AutoencoderKL class initialized only with decoder model. vae_decoder_path (os.PathLike): VAE decoder directory. device (str): Device on which inference will be done. kwargs: Device properties.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, vae_encoder_path: os.PathLike, vae_decoder_path: os.PathLike, device: str, **kwargs) -> None
AutoencoderKL class initialized only with both encoder and decoder models. vae_encoder_path (os.PathLike): VAE encoder directory. vae_decoder_path (os.PathLike): VAE decoder directory. device (str): Device on which inference will be done. kwargs: Device properties.
__init__(self: openvino_genai.py_openvino_genai.AutoencoderKL, model: openvino_genai.py_openvino_genai.AutoencoderKL) -> None
- AutoencoderKL model
AutoencoderKL class. model (AutoencoderKL): AutoencoderKL model.
- __init_subclass__()#
This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
- __le__(value, /)#
Return self<=value.
- __lt__(value, /)#
Return self<value.
- __ne__(value, /)#
Return self!=value.
- __new__(**kwargs)#
- __reduce__()#
Helper for pickle.
- __reduce_ex__(protocol, /)#
Helper for pickle.
- __repr__()#
Return repr(self).
- __setattr__(name, value, /)#
Implement setattr(self, name, value).
- __sizeof__()#
Size of object in memory, in bytes.
- __str__()#
Return str(self).
- __subclasshook__()#
Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).
- compile(self: openvino_genai.py_openvino_genai.AutoencoderKL, device: str, **kwargs) None #
- device on which inference will be done
Compiles the model. device (str): Device to run the model on (e.g., CPU, GPU). kwargs: Device properties.
- decode(self: openvino_genai.py_openvino_genai.AutoencoderKL, latent: openvino._pyopenvino.Tensor) openvino._pyopenvino.Tensor #
- encode(self: openvino_genai.py_openvino_genai.AutoencoderKL, image: openvino._pyopenvino.Tensor) openvino._pyopenvino.Tensor #
- get_config(self: openvino_genai.py_openvino_genai.AutoencoderKL) openvino_genai.py_openvino_genai.AutoencoderKL.Config #
- get_vae_scale_factor(self: openvino_genai.py_openvino_genai.AutoencoderKL) int #
- reshape(self: openvino_genai.py_openvino_genai.AutoencoderKL, batch_size: int, height: int, width: int) openvino_genai.py_openvino_genai.AutoencoderKL #