adapt outcrop.py to use new outpainting code

- unfortunately it does not look as good as the old code
  which just used plain inpainting.

ldm/invoke/restoration/outcrop.py

@@ -42,6 +42,9 @@ class Outcrop(object):
             init_img    = extended_image,
             strength    = opt.strength,
             image_callback = wrapped_callback,
+            seam_size = 32,
+            seam_blur = 10,
+            force_outpaint = True,  # this just stops the warning about erased regions
         )
         
         # swap sampler back
@@ -89,26 +92,12 @@ class Outcrop(object):
     def _extend(self,image:Image,pixels:int)-> Image:
         extended_img = Image.new('RGBA',(image.width,image.height+pixels))
 
-        mask_height = pixels if self.generate.model.model.conditioning_key in ('hybrid','concat') \
-                      else pixels *2
-
-        # first paste places old image at top of extended image, stretch
-        # it, and applies a gaussian blur to it
-        # take the top half region, stretch and paste it
-        top_slice = image.crop(box=(0,0,image.width,pixels//2))
-        top_slice = top_slice.resize((image.width,pixels))
-        extended_img.paste(top_slice,box=(0,0))
-
-        # second paste creates a copy of the image displaced pixels downward;
-        # The overall effect is to create a blurred duplicate of the top portion of
-        # the image.
+        extended_img.paste((0,0,0),[0,0,image.width,image.height+pixels])
         extended_img.paste(image,box=(0,pixels))
-        extended_img = extended_img.filter(filter=ImageFilter.GaussianBlur(radius=pixels//2))
-        extended_img.paste(image,box=(0,pixels))
-        
+
         # now make the top part transparent to use as a mask
         alpha = extended_img.getchannel('A')
-        alpha.paste(0,(0,0,extended_img.width,mask_height))
+        alpha.paste(0,(0,0,extended_img.width,pixels))
         extended_img.putalpha(alpha)
 
         return extended_img