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Add translate option to composite

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This commit is contained in:
missionfloyd 2023-04-13 21:00:53 -06:00
parent e570d027a3
commit 71f939c3ed
1 changed files with 6 additions and 4 deletions
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10
comfy_extras/nodes_post_processing.py
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@ -1,7 +1,7 @@
import numpy as np
import torch
import torch.nn.functional as F
from PIL import Image, ImageColor
from PIL import Image, ImageColor, ImageOps
import re
import comfy.utils
@ -429,6 +429,8 @@ class Composite:
"image_a": ("IMAGE",),
"image_b": ("IMAGE",),
"mask": ("MASK",),
"x": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION}),
"y": ("INT", {"default": 0, "min": -MAX_RESOLUTION, "max": MAX_RESOLUTION}),
},
}
@ -437,7 +439,7 @@ class Composite:
CATEGORY = "image/postprocessing"
def composite(self, image_a: torch.Tensor, image_b: torch.Tensor, mask: torch.Tensor):
def composite(self, image_a: torch.Tensor, image_b: torch.Tensor, mask: torch.Tensor, x: int, y: int):
batch_size, height, width, _ = image_a.shape
result = torch.zeros_like(image_a)
@ -449,9 +451,9 @@ class Composite:
pil_image_b = Image.fromarray(img_b, mode='RGB')
pil_image_mask = Image.fromarray(img_mask, mode='L')
output_image = Image.composite(pil_image_a, pil_image_b, pil_image_mask)
pil_image_a.paste(pil_image_b, (x, y), pil_image_mask)
output_array = torch.tensor(np.array(output_image.convert("RGB"))).float() / 255
output_array = torch.tensor(np.array(pil_image_a.convert("RGB"))).float() / 255
result[b] = output_array
return (result,)