nodes/EllangoK-ComfyUI-post-processing-nodes
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pure pytorch blend node

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EllangoK
2023-03-31 12:05:54 -04:00
parent 28968fb25c
commit 8049c8e22f
1 changed files with 7 additions and 19 deletions
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blend.py
+7 -19
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@@ -1,4 +1,3 @@
import numpy as np
import torch
class Blend:
@@ -27,21 +26,10 @@ class Blend:
CATEGORY = "postprocessing"
def blend_images(self, image1: torch.Tensor, image2: torch.Tensor, blend_factor: float, blend_mode: str):
batch_size, height, width, _ = image1.shape
result = torch.zeros_like(image1)
for b in range(batch_size):
img1 = image1[b].numpy()
img2 = image2[b].numpy()
blended_image = self.blend_mode(img1, img2, blend_mode)
blended_image = img1 * (1 - blend_factor) + blended_image * blend_factor
blended_image = np.clip(blended_image, 0, 1)
tensor = torch.from_numpy(blended_image).unsqueeze(0)
result[b] = tensor
return (result,)
blended_image = self.blend_mode(image1, image2, blend_mode)
blended_image = image1 * (1 - blend_factor) + blended_image * blend_factor
blended_image = torch.clamp(blended_image, 0, 1)
return (blended_image,)
def blend_mode(self, img1, img2, mode):
if mode == "normal":
@@ -51,14 +39,14 @@ class Blend:
elif mode == "screen":
return 1 - (1 - img1) * (1 - img2)
elif mode == "overlay":
return np.where(img1 <= 0.5, 2 * img1 * img2, 1 - 2 * (1 - img1) * (1 - img2))
return torch.where(img1 <= 0.5, 2 * img1 * img2, 1 - 2 * (1 - img1) * (1 - img2))
elif mode == "soft_light":
return np.where(img2 <= 0.5, img1 - (1 - 2 * img2) * img1 * (1 - img1), img1 + (2 * img2 - 1) * (self.g(img1) - img1))
return torch.where(img2 <= 0.5, img1 - (1 - 2 * img2) * img1 * (1 - img1), img1 + (2 * img2 - 1) * (self.g(img1) - img1))
else:
raise ValueError(f"Unsupported blend mode: {mode}")
def g(self, x):
return np.where(x <= 0.25, ((16 * x - 12) * x + 4) * x, np.sqrt(x))
return torch.where(x <= 0.25, ((16 * x - 12) * x + 4) * x, torch.sqrt(x))
NODE_CLASS_MAPPINGS = {
"Blend": Blend,