nodes/digitaljohn-comfyui-propost
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Load LUT once (#17)

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John Richard Chipps-Harding
2024-02-10 22:49:16 +00:00
committed by GitHub
parent 3e864cd6d4
commit bad7182f16
1 changed files with 6 additions and 6 deletions
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nodes.py
+6 -6
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@@ -431,25 +431,25 @@ class ProPostApplyLUT:
batch_size, height, width, _ = image.shape
result = torch.zeros_like(image)
# Read the LUT
lut_path = os.path.join(dir_luts, lut_name)
lut = loading_utils.read_lut(lut_path, clip=True)
for b in range(batch_size):
tensor_image = image[b].numpy()
# Apply LUT
lut_image = self.apply_lut(tensor_image, lut_name, strength, log)
lut_image = self.apply_lut(tensor_image, lut, strength, log)
tensor = torch.from_numpy(lut_image).unsqueeze(0)
result[b] = tensor
return (result,)
def apply_lut(self, image, lut_name, strength, log):
def apply_lut(self, image, lut, strength, log):
if strength == 0:
return image
# Read the LUT
lut_path = os.path.join(dir_luts, lut_name)
lut = loading_utils.read_lut(lut_path, clip=True)
# Apply the LUT
is_non_default_domain = not np.array_equal(lut.domain, np.array([[0., 0., 0.], [1., 1., 1.]]))
dom_scale = None