nodes/digitaljohn-comfyui-propost
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John Richard Chipps-Harding
2024-02-09 21:13:26 +00:00
parent 57269ce32c
commit f63b3ac8c8
1 changed files with 5 additions and 4 deletions
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utils/processing.py
+5 -4
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@@ -6,12 +6,13 @@ def generate_blurred_images(image, blur_strength, steps):
for step in range(1, steps + 1):
blur_size = max(1, int(blur_strength * step / steps))
blur_size = blur_size if blur_size % 2 == 1 else blur_size + 1 # Ensure blur_size is odd
lendblurred_image = lens_blur(image, blades_shape = 5, blades_radius = blur_size, blades_rotation = 0, method = "bilateral")
blurred_image = cv2.GaussianBlur(lendblurred_image, (blur_size, blur_size), 0)
blurred_images.append(blurred_image)
blurred_image = cv2.GaussianBlur(image, (blur_size, blur_size), 0)
lendblurred_image = lens_blur(blurred_image, blades_shape = 5, blades_radius = int(blur_size * 0.5), blades_rotation = 0, method = "dilate")
blurred_images.append(lendblurred_image)
return blurred_images
def lens_blur(image, blades_shape = 5, blades_radius = 10, blades_rotation = 0, method = "bilateral"):
def lens_blur(image, blades_shape = 5, blades_radius = 10, blades_rotation = 0, method = "dilate"):
angles = np.linspace(0, 2 * np.pi, blades_shape + 1)[:-1] + blades_rotation * np.pi / 180
x = blades_radius * np.cos(angles) + blades_radius
y = blades_radius * np.sin(angles) + blades_radius