nodes/lquesada-ComfyUI-Inpaint-CropAndStitch
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Rollback padding for now, it's broken

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Luis Quesada
2024-05-13 15:07:23 +02:00
parent 9749773f25
commit 004ecd77dd
1 changed files with 6 additions and 6 deletions
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inpaint_cropandstitch.py
+6 -6
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@@ -29,7 +29,7 @@ class InpaintCrop:
"preferred_sizes": ("STRING", {"default": "1024"}),
"prefer_square_size": ("BOOLEAN", {"default": False}),
"internal_upscale_factor": ("FLOAT", {"default": 1.00, "min": 0.01, "max": 100.0, "step": 0.01}),
"padding": ("INT", {"default": 32, "min": 0, "max": nodes.MAX_RESOLUTION, "step": 1}),
# "padding": ("INT", {"default": 32, "min": 0, "max": nodes.MAX_RESOLUTION, "step": 1}),
},
"optional": {
"optional_context_mask": ("MASK",),
@@ -96,7 +96,7 @@ class InpaintCrop:
return min_val, max_val
# Parts of this function are from KJNodes: https://github.com/kijai/ComfyUI-KJNodes
def inpaint_crop(self, image, mask, context_expand_pixels, context_expand_factor, invert_mask, grow_mask_pixels, fill_holes, blur_radius_pixels, adjust_to_preferred_sizes, preferred_sizes, prefer_square_size, internal_upscale_factor, padding, optional_context_mask = None):
def inpaint_crop(self, image, mask, context_expand_pixels, context_expand_factor, invert_mask, grow_mask_pixels, fill_holes, blur_radius_pixels, adjust_to_preferred_sizes, preferred_sizes, prefer_square_size, internal_upscale_factor, optional_context_mask = None): #TODO padding
original_image = image
original_mask = mask
original_width = image.shape[2]
@@ -176,10 +176,10 @@ class InpaintCrop:
x_min = max(x_min - x_grow // 2, 0)
x_max = min(x_max + x_grow // 2, width - 1)
# Pad area (if possible) to avoid the sampler returning smaller results
if padding > 1:
x_min, x_max = self.apply_padding(x_min, x_max, width, padding)
y_min, y_max = self.apply_padding(y_min, y_max, height, padding)
# TODO Pad area (if possible) to avoid the sampler returning smaller results
#if padding > 1:
# x_min, x_max = self.apply_padding(x_min, x_max, width, padding)
# y_min, y_max = self.apply_padding(y_min, y_max, height, padding)
# Limit to max image size
y_min = max(y_min, 0)