mirror of
https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
synced 2025-11-04 12:03:36 +00:00
100 lines
3.2 KiB
Python
100 lines
3.2 KiB
Python
from PIL import Image, ImageFilter, ImageOps
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def get_crop_region(mask, pad=0):
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"""finds a rectangular region that contains all masked ares in an image. Returns (x1, y1, x2, y2) coordinates of the rectangle.
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For example, if a user has painted the top-right part of a 512x512 image", the result may be (256, 0, 512, 256)"""
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h, w = mask.shape
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crop_left = 0
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for i in range(w):
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if not (mask[:, i] == 0).all():
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break
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crop_left += 1
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crop_right = 0
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for i in reversed(range(w)):
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if not (mask[:, i] == 0).all():
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break
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crop_right += 1
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crop_top = 0
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for i in range(h):
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if not (mask[i] == 0).all():
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break
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crop_top += 1
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crop_bottom = 0
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for i in reversed(range(h)):
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if not (mask[i] == 0).all():
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break
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crop_bottom += 1
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return (
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int(max(crop_left-pad, 0)),
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int(max(crop_top-pad, 0)),
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int(min(w - crop_right + pad, w)),
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int(min(h - crop_bottom + pad, h))
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)
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def expand_crop_region(crop_region, processing_width, processing_height, image_width, image_height):
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"""expands crop region get_crop_region() to match the ratio of the image the region will processed in; returns expanded region
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for example, if user drew mask in a 128x32 region, and the dimensions for processing are 512x512, the region will be expanded to 128x128."""
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x1, y1, x2, y2 = crop_region
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ratio_crop_region = (x2 - x1) / (y2 - y1)
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ratio_processing = processing_width / processing_height
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if ratio_crop_region > ratio_processing:
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desired_height = (x2 - x1) / ratio_processing
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desired_height_diff = int(desired_height - (y2-y1))
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y1 -= desired_height_diff//2
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y2 += desired_height_diff - desired_height_diff//2
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if y2 >= image_height:
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diff = y2 - image_height
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y2 -= diff
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y1 -= diff
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if y1 < 0:
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y2 -= y1
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y1 -= y1
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if y2 >= image_height:
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y2 = image_height
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else:
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desired_width = (y2 - y1) * ratio_processing
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desired_width_diff = int(desired_width - (x2-x1))
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x1 -= desired_width_diff//2
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x2 += desired_width_diff - desired_width_diff//2
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if x2 >= image_width:
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diff = x2 - image_width
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x2 -= diff
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x1 -= diff
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if x1 < 0:
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x2 -= x1
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x1 -= x1
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if x2 >= image_width:
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x2 = image_width
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return x1, y1, x2, y2
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def fill(image, mask):
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"""fills masked regions with colors from image using blur. Not extremely effective."""
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image_mod = Image.new('RGBA', (image.width, image.height))
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image_masked = Image.new('RGBa', (image.width, image.height))
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image_masked.paste(image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(mask.convert('L')))
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image_masked = image_masked.convert('RGBa')
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for radius, repeats in [(256, 1), (64, 1), (16, 2), (4, 4), (2, 2), (0, 1)]:
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blurred = image_masked.filter(ImageFilter.GaussianBlur(radius)).convert('RGBA')
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for _ in range(repeats):
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image_mod.alpha_composite(blurred)
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return image_mod.convert("RGB")
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