nodes/lquesada-ComfyUI-Inpaint-CropAndStitch
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Mirror blend mask to avoid bleeding of border of the old image when blending

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Luis Quesada
2024-10-20 21:53:27 +02:00
parent 9e603db464
commit d39c305423
1 changed files with 21 additions and 3 deletions
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inpaint_cropandstitch.py
+21 -3
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@@ -262,13 +262,14 @@ class InpaintCrop:
start_y = extend_y
start_x = extend_x
new_image = torch.zeros((initial_batch, new_height, new_width, initial_channels), dtype=image.dtype)
new_image[:, start_y:start_y + initial_height, start_x:start_x + initial_width, :] = image
# Mirror image so there's no bleeding of black border when using inpaintmodelconditioning
available_top = min(start_y, initial_height)
available_bottom = min(new_height - (start_y + initial_height), initial_height)
available_left = min(start_x, initial_width)
available_right = min(new_width - (start_x + initial_width), initial_width)
new_image = torch.zeros((initial_batch, new_height, new_width, initial_channels), dtype=image.dtype)
new_image[:, start_y:start_y + initial_height, start_x:start_x + initial_width, :] = image
# Mirror image so there's no bleeding of black border when using inpaintmodelconditioning
# Top
new_image[:, start_y - available_top:start_y, start_x:start_x + initial_width, :] = torch.flip(image[:, :available_top, :, :], [1])
# Bottom
@@ -291,6 +292,23 @@ class InpaintCrop:
blend_mask = torch.zeros((mask_batch, new_height, new_width), dtype=mask.dtype) # assume zeros in extended image
blend_mask[:, start_y:start_y + initial_height, start_x:start_x + initial_width] = mask
# Mirror blend mask so there's no bleeding of border when blending
# Top
blend_mask[:, start_y - available_top:start_y, start_x:start_x + initial_width] = torch.flip(mask[:, :available_top, :], [1])
# Bottom
blend_mask[:, start_y + initial_height:start_y + initial_height + available_bottom, start_x:start_x + initial_width] = torch.flip(mask[:, -available_bottom:, :], [1])
# Left
blend_mask[:, start_y:start_y + initial_height, start_x - available_left:start_x] = torch.flip(blend_mask[:, start_y:start_y + initial_height, start_x:start_x + available_left], [2])
# Right
blend_mask[:, start_y:start_y + initial_height, start_x + initial_width:start_x + initial_width + available_right] = torch.flip(blend_mask[:, start_y:start_y + initial_height, start_x + initial_width - available_right:start_x + initial_width], [2])
# Top-left corner
blend_mask[:, start_y - available_top:start_y, start_x - available_left:start_x] = torch.flip(blend_mask[:, start_y:start_y + available_top, start_x:start_x + available_left], [1, 2])
# Top-right corner
blend_mask[:, start_y - available_top:start_y, start_x + initial_width:start_x + initial_width + available_right] = torch.flip(blend_mask[:, start_y:start_y + available_top, start_x + initial_width - available_right:start_x + initial_width], [1, 2])
# Bottom-left corner
blend_mask[:, start_y + initial_height:start_y + initial_height + available_bottom, start_x - available_left:start_x] = torch.flip(blend_mask[:, start_y + initial_height - available_bottom:start_y + initial_height, start_x:start_x + available_left], [1, 2])
# Bottom-right corner
blend_mask[:, start_y + initial_height:start_y + initial_height + available_bottom, start_x + initial_width:start_x + initial_width + available_right] = torch.flip(blend_mask[:, start_y + initial_height - available_bottom:start_y + initial_height, start_x + initial_width - available_right:start_x + initial_width], [1, 2])
new_context_mask = torch.zeros((mask_batch, new_height, new_width), dtype=context_mask.dtype)
new_context_mask[:, start_y:start_y + initial_height, start_x:start_x + initial_width] = context_mask