Diffusers documentation

Utilities

You are viewing v0.27.2 version. A newer version v0.31.0 is available.
Hugging Face's logo
Join the Hugging Face community

and get access to the augmented documentation experience

to get started

Utilities

Utility and helper functions for working with 🤗 Diffusers.

numpy_to_pil

diffusers.utils.numpy_to_pil

< >

( images )

Convert a numpy image or a batch of images to a PIL image.

pt_to_pil

diffusers.utils.pt_to_pil

< >

( images )

Convert a torch image to a PIL image.

load_image

diffusers.utils.load_image

< >

( image: Union convert_method: Callable = None ) PIL.Image.Image

Parameters

  • image (str or PIL.Image.Image) — The image to convert to the PIL Image format.
  • convert_method (Callable[[PIL.Image.Image], PIL.Image.Image], optional) — A conversion method to apply to the image after loading it. When set to None the image will be converted “RGB”.

Returns

PIL.Image.Image

A PIL Image.

Loads image to a PIL Image.

export_to_gif

diffusers.utils.export_to_gif

< >

( image: List output_gif_path: str = None fps: int = 10 )

export_to_video

diffusers.utils.export_to_video

< >

( video_frames: Union output_video_path: str = None fps: int = 10 )

make_image_grid

diffusers.utils.make_image_grid

< >

( images: List rows: int cols: int resize: int = None )

Prepares a single grid of images. Useful for visualization purposes.