Merge pull request #15583 from AUTOMATIC1111/get_crop_region_v2

get_crop_region_v2
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AUTOMATIC1111 2024-04-21 18:06:40 +03:00 committed by GitHub
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2 changed files with 44 additions and 18 deletions

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@ -1,17 +1,39 @@
from PIL import Image, ImageFilter, ImageOps from PIL import Image, ImageFilter, ImageOps
def get_crop_region(mask, pad=0): def get_crop_region_v2(mask, pad=0):
"""finds a rectangular region that contains all masked ares in an image. Returns (x1, y1, x2, y2) coordinates of the rectangle. """
For example, if a user has painted the top-right part of a 512x512 image, the result may be (256, 0, 512, 256)""" Finds a rectangular region that contains all masked ares in a mask.
mask_img = mask if isinstance(mask, Image.Image) else Image.fromarray(mask) Returns None if mask is completely black mask (all 0)
box = mask_img.getbbox()
if box: Parameters:
mask: PIL.Image.Image L mode or numpy 1d array
pad: int number of pixels that the region will be extended on all sides
Returns: (x1, y1, x2, y2) | None
Introduced post 1.9.0
"""
mask = mask if isinstance(mask, Image.Image) else Image.fromarray(mask)
if box := mask.getbbox():
x1, y1, x2, y2 = box x1, y1, x2, y2 = box
else: # when no box is found return max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), min(y2 + pad, mask.size[1]) if pad else box
x1, y1 = mask_img.size
x2 = y2 = 0
return max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask_img.size[0]), min(y2 + pad, mask_img.size[1]) def get_crop_region(mask, pad=0):
"""
Same function as get_crop_region_v2 but handles completely black mask (all 0) differently
when mask all black still return coordinates but the coordinates may be invalid ie x2>x1 or y2>y1
Notes: it is possible for the coordinates to be "valid" again if pad size is sufficiently large
(mask_size.x-pad, mask_size.y-pad, pad, pad)
Extension developer should use get_crop_region_v2 instead unless for compatibility considerations.
"""
mask = mask if isinstance(mask, Image.Image) else Image.fromarray(mask)
if box := get_crop_region_v2(mask, pad):
return box
x1, y1 = mask.size
x2 = y2 = 0
return max(x1 - pad, 0), max(y1 - pad, 0), min(x2 + pad, mask.size[0]), min(y2 + pad, mask.size[1])
def expand_crop_region(crop_region, processing_width, processing_height, image_width, image_height): def expand_crop_region(crop_region, processing_width, processing_height, image_width, image_height):

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@ -1611,19 +1611,23 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
if self.inpaint_full_res: if self.inpaint_full_res:
self.mask_for_overlay = image_mask self.mask_for_overlay = image_mask
mask = image_mask.convert('L') mask = image_mask.convert('L')
crop_region = masking.get_crop_region(mask, self.inpaint_full_res_padding) crop_region = masking.get_crop_region_v2(mask, self.inpaint_full_res_padding)
if crop_region[0] >= crop_region[2] and crop_region[1] >= crop_region[3]: if crop_region:
crop_region = None
image_mask = None
self.mask_for_overlay = None
else:
crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height) crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
x1, y1, x2, y2 = crop_region x1, y1, x2, y2 = crop_region
mask = mask.crop(crop_region) mask = mask.crop(crop_region)
image_mask = images.resize_image(2, mask, self.width, self.height) image_mask = images.resize_image(2, mask, self.width, self.height)
self.inpaint_full_res = False
self.paste_to = (x1, y1, x2-x1, y2-y1) self.paste_to = (x1, y1, x2-x1, y2-y1)
self.extra_generation_params["Inpaint area"] = "Only masked" self.extra_generation_params["Inpaint area"] = "Only masked"
self.extra_generation_params["Masked area padding"] = self.inpaint_full_res_padding self.extra_generation_params["Masked area padding"] = self.inpaint_full_res_padding
else:
crop_region = None
image_mask = None
self.mask_for_overlay = None
massage = 'Unable to perform "Inpaint Only mask" because mask is blank, switch to img2img mode.'
model_hijack.comments.append(massage)
logging.info(massage)
else: else:
image_mask = images.resize_image(self.resize_mode, image_mask, self.width, self.height) image_mask = images.resize_image(self.resize_mode, image_mask, self.width, self.height)
np_mask = np.array(image_mask) np_mask = np.array(image_mask)