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import comfy.utils
from PIL import Image
from rembg import remove
from ..utils import pil2tensor, tensor2pil
class MTB_ImageRemoveBackgroundRembg:
"""Removes the background from the input using Rembg."""
@classmethod
def INPUT_TYPES(cls):
return {
"required": {
"image": ("IMAGE",),
"alpha_matting": (
"BOOLEAN",
{"default": False},
),
"alpha_matting_foreground_threshold": (
"INT",
{"default": 240, "min": 0, "max": 255},
),
"alpha_matting_background_threshold": (
"INT",
{"default": 10, "min": 0, "max": 255},
),
"alpha_matting_erode_size": (
"INT",
{"default": 10, "min": 0, "max": 255},
),
"post_process_mask": (
"BOOLEAN",
{"default": False},
),
"bgcolor": (
"COLOR",
{"default": "#000000"},
),
},
}
RETURN_TYPES = (
"IMAGE",
"MASK",
"IMAGE",
)
RETURN_NAMES = (
"Image (rgba)",
"Mask",
"Image",
)
FUNCTION = "remove_background"
CATEGORY = "mtb/image"
# bgcolor: Optional[Tuple[int, int, int, int]]
def remove_background(
self,
image,
alpha_matting,
alpha_matting_foreground_threshold,
alpha_matting_background_threshold,
alpha_matting_erode_size,
post_process_mask,
bgcolor,
):
pbar = comfy.utils.ProgressBar(image.size(0))
images = tensor2pil(image)
out_img = []
out_mask = []
out_img_on_bg = []
for img in images:
img_rm = remove(
data=img,
alpha_matting=alpha_matting,
alpha_matting_foreground_threshold=alpha_matting_foreground_threshold,
alpha_matting_background_threshold=alpha_matting_background_threshold,
alpha_matting_erode_size=alpha_matting_erode_size,
session=None,
only_mask=False,
post_process_mask=post_process_mask,
bgcolor=None,
)
# extract the alpha to a new image
mask = img_rm.getchannel(3)
# add our bgcolor behind the image
image_on_bg = Image.new("RGBA", img_rm.size, bgcolor)
image_on_bg.paste(img_rm, mask=mask)
image_on_bg = image_on_bg.convert("RGB")
out_img.append(img_rm)
out_mask.append(mask)
out_img_on_bg.append(image_on_bg)
pbar.update(1)
return (
pil2tensor(out_img),
pil2tensor(out_mask),
pil2tensor(out_img_on_bg),
)
__nodes__ = [
MTB_ImageRemoveBackgroundRembg,
]
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