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.typings/mflux/utils/image_util.pyi
105 lines
"""
This type stub file was generated by pyright.
"""
import mlx.core as mx
import PIL.Image
from pathlib import Path
from typing import Any
from PIL._typing import StrOrBytesPath
from mflux.models.common.config.config import Config
from mflux.models.flux.variants.concept_attention.attention_data import ConceptHeatmap
from mflux.utils.box_values import AbsoluteBoxValues
from mflux.utils.generated_image import GeneratedImage
log = ...
class ImageUtil:
@staticmethod
def to_image(
decoded_latents: mx.array,
config: Config,
seed: int,
prompt: str,
quantization: int,
generation_time: float,
lora_paths: list[str] | None = ...,
lora_scales: list[float] | None = ...,
controlnet_image_path: str | Path | None = ...,
image_path: str | Path | None = ...,
image_paths: list[str] | list[Path] | None = ...,
redux_image_paths: list[str] | list[Path] | None = ...,
redux_image_strengths: list[float] | None = ...,
image_strength: float | None = ...,
masked_image_path: str | Path | None = ...,
depth_image_path: str | Path | None = ...,
concept_heatmap: ConceptHeatmap | None = ...,
negative_prompt: str | None = ...,
init_metadata: dict[str, Any] | None = ...,
) -> GeneratedImage: ...
@staticmethod
def to_composite_image(
generated_images: list[GeneratedImage],
) -> PIL.Image.Image: ...
@staticmethod
def to_array(image: PIL.Image.Image, is_mask: bool = ...) -> mx.array: ...
@staticmethod
def load_image(
image_or_path: PIL.Image.Image | StrOrBytesPath,
) -> PIL.Image.Image: ...
@staticmethod
def expand_image(
image: PIL.Image.Image,
box_values: AbsoluteBoxValues | None = ...,
top: int | str = ...,
right: int | str = ...,
bottom: int | str = ...,
left: int | str = ...,
fill_color: tuple = ...,
) -> PIL.Image.Image: ...
@staticmethod
def create_outpaint_mask_image(
orig_width: int, orig_height: int, **create_bordered_image_kwargs
): # -> Image:
...
@staticmethod
def create_bordered_image(
orig_width: int,
orig_height: int,
border_color: tuple,
content_color: tuple,
box_values: AbsoluteBoxValues | None = ...,
top: int | str = ...,
right: int | str = ...,
bottom: int | str = ...,
left: int | str = ...,
) -> PIL.Image.Image: ...
@staticmethod
def scale_to_dimensions(
image: PIL.Image.Image, target_width: int, target_height: int
) -> PIL.Image.Image: ...
@staticmethod
def save_image(
image: PIL.Image.Image,
path: str | Path,
metadata: dict | None = ...,
export_json_metadata: bool = ...,
overwrite: bool = ...,
) -> None: ...
@staticmethod
def preprocess_for_model(
image: PIL.Image.Image,
target_size: tuple = ...,
mean: list = ...,
std: list = ...,
resample: int = ...,
) -> mx.array: ...
@staticmethod
def preprocess_for_depth_pro(
image: PIL.Image.Image,
target_size: tuple = ...,
mean: list = ...,
std: list = ...,
resample: int = ...,
) -> mx.array: ...