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import os | |
import cv2 | |
import torch | |
import requests | |
import itertools | |
import folder_paths | |
import psutil | |
import numpy as np | |
from comfy.utils import common_upscale | |
from io import BytesIO | |
from PIL import Image, ImageSequence, ImageOps | |
def pil2tensor(img): | |
output_images = [] | |
output_masks = [] | |
for i in ImageSequence.Iterator(img): | |
i = ImageOps.exif_transpose(i) | |
if i.mode == 'I': | |
i = i.point(lambda i: i * (1 / 255)) | |
image = i.convert("RGB") | |
image = np.array(image).astype(np.float32) / 255.0 | |
image = torch.from_numpy(image)[None,] | |
if 'A' in i.getbands(): | |
mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0 | |
mask = 1. - torch.from_numpy(mask) | |
else: | |
mask = torch.zeros((64,64), dtype=torch.float32, device="cpu") | |
output_images.append(image) | |
output_masks.append(mask.unsqueeze(0)) | |
if len(output_images) > 1: | |
output_image = torch.cat(output_images, dim=0) | |
output_mask = torch.cat(output_masks, dim=0) | |
else: | |
output_image = output_images[0] | |
output_mask = output_masks[0] | |
return (output_image, output_mask) | |
def load_image(image_source): | |
if image_source.startswith('http'): | |
print(image_source) | |
response = requests.get(image_source) | |
img = Image.open(BytesIO(response.content)) | |
file_name = image_source.split('/')[-1] | |
else: | |
img = Image.open(image_source) | |
file_name = os.path.basename(image_source) | |
return img, file_name | |
class LoadImageNode: | |
def INPUT_TYPES(cls): | |
return { | |
"required": { | |
"path": ("STRING", {"multiline": True, "dynamicPrompts": False}) | |
} | |
} | |
RETURN_TYPES = ("IMAGE", "MASK") | |
FUNCTION = "load_image" | |
CATEGORY = "tbox/Image" | |
def load_image(self, path): | |
filepaht = path.split('\n')[0] | |
img, name = load_image(filepaht) | |
img_out, mask_out = pil2tensor(img) | |
return (img_out, mask_out) | |
if __name__ == "__main__": | |
img, name = load_image("https://creativestorage.blob.core.chinacloudapi.cn/test/bird.png") | |
img_out, mask_out = pil2tensor(img) | |