openvino_genai.AutoencoderKL#

class openvino_genai.AutoencoderKL#

Bases: pybind11_object

AutoencoderKL class.

__init__(*args, **kwargs)#

Overloaded function.

  1. __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.

  2. __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.

  3. __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.

  4. __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.

  5. __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.

__init_subclass__

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)

__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().

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.

  1. __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.

  2. __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.

  3. __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.

  4. __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.

  5. __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#