make inpaint at full resolution option not discard useful pixels from the image

split masking helper function from processing.py into new masking.py

modules/masking.py

+from PIL import Image, ImageFilter, ImageOps
+
+
+def get_crop_region(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)"""
+    
+    h, w = mask.shape
+
+    crop_left = 0
+    for i in range(w):
+        if not (mask[:, i] == 0).all():
+            break
+        crop_left += 1
+
+    crop_right = 0
+    for i in reversed(range(w)):
+        if not (mask[:, i] == 0).all():
+            break
+        crop_right += 1
+
+    crop_top = 0
+    for i in range(h):
+        if not (mask[i] == 0).all():
+            break
+        crop_top += 1
+
+    crop_bottom = 0
+    for i in reversed(range(h)):
+        if not (mask[i] == 0).all():
+            break
+        crop_bottom += 1
+
+    return (
+        int(max(crop_left-pad, 0)),
+        int(max(crop_top-pad, 0)),
+        int(min(w - crop_right + pad, w)),
+        int(min(h - crop_bottom + pad, h))
+    )
+
+
+def expand_crop_region(crop_region, processing_width, processing_height, image_width, image_height):
+    """expands crop region get_crop_region() to match the ratio of the image the region will processed in; returns expanded region
+    for example, if user drew mask in a 128x32 region, and the dimensions for processing are 512x512, the region will be expanded to 128x128."""
+
+    x1, y1, x2, y2 = crop_region
+
+    ratio_crop_region = (x2 - x1) / (y2 - y1)
+    ratio_processing = processing_width / processing_height
+
+    if ratio_crop_region > ratio_processing:
+        desired_height = (x2 - x1) * ratio_processing
+        desired_height_diff = int(desired_height - (y2-y1))
+        y1 -= desired_height_diff//2
+        y2 += desired_height_diff - desired_height_diff//2
+        if y2 >= image_height:
+            diff = y2 - image_height
+            y2 -= diff
+            y1 -= diff
+        if y1 < 0:
+            y2 -= y1
+            y1 -= y1
+        if y2 >= image_height:
+            y2 = image_height
+    else:
+        desired_width = (y2 - y1) * ratio_processing
+        desired_width_diff = int(desired_width - (x2-x1))
+        x1 -= desired_width_diff//2
+        x2 += desired_width_diff - desired_width_diff//2
+        if x2 >= image_width:
+            diff = x2 - image_width
+            x2 -= diff
+            x1 -= diff
+        if x1 < 0:
+            x2 -= x1
+            x1 -= x1
+        if x2 >= image_width:
+            x2 = image_width
+
+    return x1, y1, x2, y2
+
+
+def fill(image, mask):
+    """fills masked regions with colors from image using blur. Not extremely effective."""
+
+    image_mod = Image.new('RGBA', (image.width, image.height))
+
+    image_masked = Image.new('RGBa', (image.width, image.height))
+    image_masked.paste(image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(mask.convert('L')))
+
+    image_masked = image_masked.convert('RGBa')
+
+    for radius, repeats in [(256, 1), (64, 1), (16, 2), (4, 4), (2, 2), (0, 1)]:
+        blurred = image_masked.filter(ImageFilter.GaussianBlur(radius)).convert('RGBA')
+        for _ in range(repeats):
+            image_mod.alpha_composite(blurred)
+
+    return image_mod.convert("RGB")
+

modules/processing.py

@@ -12,7 +12,7 @@ import cv2
 from skimage import exposure
 
 import modules.sd_hijack
-from modules import devices, prompt_parser
+from modules import devices, prompt_parser, masking
 from modules.sd_hijack import model_hijack
 from modules.sd_samplers import samplers, samplers_for_img2img
 from modules.shared import opts, cmd_opts, state
@@ -365,58 +365,6 @@ class StableDiffusionProcessingTxt2Img(StableDiffusionProcessing):
         samples_ddim = self.sampler.sample(self, x, conditioning, unconditional_conditioning)
         return samples_ddim
 
-
-def get_crop_region(mask, pad=0):
-    h, w = mask.shape
-
-    crop_left = 0
-    for i in range(w):
-        if not (mask[:, i] == 0).all():
-            break
-        crop_left += 1
-
-    crop_right = 0
-    for i in reversed(range(w)):
-        if not (mask[:, i] == 0).all():
-            break
-        crop_right += 1
-
-    crop_top = 0
-    for i in range(h):
-        if not (mask[i] == 0).all():
-            break
-        crop_top += 1
-
-    crop_bottom = 0
-    for i in reversed(range(h)):
-        if not (mask[i] == 0).all():
-            break
-        crop_bottom += 1
-
-    return (
-        int(max(crop_left-pad, 0)),
-        int(max(crop_top-pad, 0)),
-        int(min(w - crop_right + pad, w)),
-        int(min(h - crop_bottom + pad, h))
-    )
-
-
-def fill(image, mask):
-    image_mod = Image.new('RGBA', (image.width, image.height))
-
-    image_masked = Image.new('RGBa', (image.width, image.height))
-    image_masked.paste(image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(mask.convert('L')))
-
-    image_masked = image_masked.convert('RGBa')
-
-    for radius, repeats in [(256, 1), (64, 1), (16, 2), (4, 4), (2, 2), (0, 1)]:
-        blurred = image_masked.filter(ImageFilter.GaussianBlur(radius)).convert('RGBA')
-        for _ in range(repeats):
-            image_mod.alpha_composite(blurred)
-
-    return image_mod.convert("RGB")
-
-
 class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
     sampler = None
 
@@ -456,7 +404,8 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
             if self.inpaint_full_res:
                 self.mask_for_overlay = self.image_mask
                 mask = self.image_mask.convert('L')
-                crop_region = get_crop_region(np.array(mask), opts.upscale_at_full_resolution_padding)
+                crop_region = masking.get_crop_region(np.array(mask), opts.upscale_at_full_resolution_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)
@@ -494,7 +443,7 @@ class StableDiffusionProcessingImg2Img(StableDiffusionProcessing):
 
             if self.image_mask is not None:
                 if self.inpainting_fill != 1:
-                    image = fill(image, latent_mask)
+                    image = masking.fill(image, latent_mask)
 
             if add_color_corrections:
                 self.color_corrections.append(setup_color_correction(image))