55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
from typing import Tuple, Union
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from PIL import Image, ImageChops, ImageOps
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from ..params import Border, Size
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from .mask_filter import mask_filter_none
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from .noise_source import noise_source_histogram
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# very loosely based on https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob/master/scripts/outpainting_mk_2.py#L175-L232
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def expand_image(
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source: Image.Image,
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mask: Image.Image,
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expand: Border,
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fill="white",
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noise_source=noise_source_histogram,
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mask_filter=mask_filter_none,
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):
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size = Size(*source.size).add_border(expand).round_to_tile()
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size = tuple(size)
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origin = (expand.left, expand.top)
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full_source = Image.new("RGB", size, fill)
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full_source.paste(source, origin)
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# new mask pixels need to be filled with white so they will be replaced
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full_mask = mask_filter(mask, size, origin, fill="white")
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full_noise = noise_source(source, size, origin, fill=fill)
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full_noise = ImageChops.multiply(full_noise, full_mask)
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full_source = Image.composite(full_noise, full_source, full_mask.convert("L"))
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return (full_source, full_mask, full_noise, size)
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def valid_image(
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image: Image.Image,
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min_dims: Union[Size, Tuple[int, int]] = [512, 512],
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max_dims: Union[Size, Tuple[int, int]] = [512, 512],
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) -> Image.Image:
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min_x, min_y = min_dims
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max_x, max_y = max_dims
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if image.width > max_x or image.height > max_y:
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image = ImageOps.contain(image, (max_x, max_y))
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if image.width < min_x or image.height < min_y:
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blank = Image.new(image.mode, (min_x, min_y), "black")
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blank.paste(image)
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image = blank
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# check for square
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return image
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