openvino_genai.Text2ImagePipeline#

class openvino_genai.Text2ImagePipeline#

Bases: pybind11_object

This class is used for generation with text-to-image models.

__init__(*args, **kwargs)#

Overloaded function.

__init__(self: openvino_genai.py_openvino_genai.Text2ImagePipeline, models_path: os.PathLike) -> None

Text2ImagePipeline class constructor. models_path (str): Path to the folder with exported model files.
__init__(self: openvino_genai.py_openvino_genai.Text2ImagePipeline, models_path: os.PathLike, device: str, **kwargs) -> None

Text2ImagePipeline class constructor. models_path (str): Path with exported model files. device (str): Device to run the model on (e.g., CPU, GPU). kwargs: Text2ImagePipeline properties

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)	Compiles the model.
`generate`(self, prompt, **kwargs)	Generates images for text-to-image models.
`get_generation_config`(self)
`latent_consistency_model`(self, arg0, arg1, arg2)
`reshape`(self, arg0, arg1, arg2, arg3)
`set_generation_config`(self, arg0)
`set_scheduler`(self, arg0)
`stable_diffusion`(self, arg0, arg1, arg2)
`stable_diffusion_xl`(self, arg0, arg1, arg2, arg3)

__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.Text2ImagePipeline, models_path: os.PathLike) -> None

Text2ImagePipeline class constructor. models_path (str): Path to the folder with exported model files.
__init__(self: openvino_genai.py_openvino_genai.Text2ImagePipeline, models_path: os.PathLike, device: str, **kwargs) -> None

Text2ImagePipeline class constructor. models_path (str): Path with exported model files. device (str): Device to run the model on (e.g., CPU, GPU). kwargs: Text2ImagePipeline properties

__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.Text2ImagePipeline, device: str, **kwargs) → None#: Compiles the model. device (str): Device to run the model on (e.g., CPU, GPU). kwargs: Device properties.

generate(self: openvino_genai.py_openvino_genai.Text2ImagePipeline, prompt: str, **kwargs) → object#

Generates images for text-to-image models.

Parameters:

prompt (str) – input prompt
kwargs – arbitrary keyword arguments with keys corresponding to generate params.

Expected parameters list: prompt_2: str - second prompt, prompt_3: str - third prompt, negative_prompt: str - negative prompt, negative_prompt_2: str - second negative prompt, negative_prompt_3: str - third negative prompt, num_images_per_prompt: int - number of images, that should be generated per prompt, guidance_scale: float - guidance scale, generation_config: GenerationConfig, height: int - height of resulting images, width: int - width of resulting images, num_inference_steps: int - number of inference steps, generator: openvino_genai.CppStdGenerator or class inherited from openvino_genai.Generator - random generator adapters: LoRA adapters strength: strength for image to image generation. 1.0f means initial image is fully noised

Returns:: ov.Tensor with resulting images
Return type:: ov.Tensor

get_generation_config(self: openvino_genai.py_openvino_genai.Text2ImagePipeline) → openvino_genai.py_openvino_genai.ImageGenerationConfig#

latent_consistency_model(self: ov::genai::Scheduler, arg0: openvino_genai.py_openvino_genai.CLIPTextModel, arg1: openvino_genai.py_openvino_genai.UNet2DConditionModel, arg2: openvino_genai.py_openvino_genai.AutoencoderKL) → openvino_genai.py_openvino_genai.Text2ImagePipeline#

reshape(self: openvino_genai.py_openvino_genai.Text2ImagePipeline, arg0: int, arg1: int, arg2: int, arg3: float) → None#

set_generation_config(self: openvino_genai.py_openvino_genai.Text2ImagePipeline, arg0: openvino_genai.py_openvino_genai.ImageGenerationConfig) → None#

set_scheduler(self: openvino_genai.py_openvino_genai.Text2ImagePipeline, arg0: ov::genai::Scheduler) → None#

stable_diffusion(self: ov::genai::Scheduler, arg0: openvino_genai.py_openvino_genai.CLIPTextModel, arg1: openvino_genai.py_openvino_genai.UNet2DConditionModel, arg2: openvino_genai.py_openvino_genai.AutoencoderKL) → openvino_genai.py_openvino_genai.Text2ImagePipeline#

stable_diffusion_xl(self: ov::genai::Scheduler, arg0: openvino_genai.py_openvino_genai.CLIPTextModel, arg1: openvino_genai.py_openvino_genai.CLIPTextModelWithProjection, arg2: openvino_genai.py_openvino_genai.UNet2DConditionModel, arg3: openvino_genai.py_openvino_genai.AutoencoderKL) → openvino_genai.py_openvino_genai.Text2ImagePipeline#