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feat:compatible with inconsistent/empty mask 

Signed-off-by: storyicon <storyicon@foxmail.com>
This commit is contained in:
storyicon 2024-04-18 11:59:25 +00:00
parent 0980fdfe8c
commit 71314e47b1
2 changed files with 15 additions and 12 deletions
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4
modules/masking.py
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@ -9,8 +9,8 @@ def get_crop_region(mask, pad=0):
if box:
x1, y1, x2, y2 = box
else: # when no box is found
x1 = y1 = 0
x2, y2 = mask_img.size
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])

23
modules/processing.py
View File

@ -1537,23 +1537,24 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
if self.mask_blur_x > 0 or self.mask_blur_y > 0:
self.extra_generation_params["Mask blur"] = self.mask_blur
if image_mask.size != (self.width, self.height):
image_mask = images.resize_image(self.resize_mode, image_mask, self.width, self.height)
if self.inpaint_full_res:
self.mask_for_overlay = image_mask
mask = image_mask.convert('L')
crop_region = masking.get_crop_region(mask, self.inpaint_full_res_padding)
crop_region = masking.expand_crop_region(crop_region, self.width, self.height, mask.width, mask.height)
x1, y1, x2, y2 = crop_region
mask = mask.crop(crop_region)
image_mask = images.resize_image(2, mask, self.width, self.height)
self.paste_to = (x1, y1, x2-x1, y2-y1)
if crop_region[0] >= crop_region[2] and crop_region[1] >= crop_region[3]:
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)
x1, y1, x2, y2 = crop_region
mask = mask.crop(crop_region)
image_mask = images.resize_image(2, mask, self.width, self.height)
self.paste_to = (x1, y1, x2-x1, y2-y1)
self.extra_generation_params["Inpaint area"] = "Only masked"
self.extra_generation_params["Masked area padding"] = self.inpaint_full_res_padding
else:
image_mask = images.resize_image(self.resize_mode, image_mask, self.width, self.height)
np_mask = np.array(image_mask)
np_mask = np.clip((np_mask.astype(np.float32)) * 2, 0, 255).astype(np.uint8)
self.mask_for_overlay = Image.fromarray(np_mask)
@ -1579,6 +1580,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
image = images.resize_image(self.resize_mode, image, self.width, self.height)
if image_mask is not None:
if self.mask_for_overlay.size != (image.width, image.height):
self.mask_for_overlay = images.resize_image(self.resize_mode, self.mask_for_overlay, image.width, image.height)
image_masked = Image.new('RGBa', (image.width, image.height))
image_masked.paste(image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(self.mask_for_overlay.convert('L')))